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American Journal of Human Genetics logoLink to American Journal of Human Genetics
. 2007 Sep 17;81(5):974–986. doi: 10.1086/521690

The First Genomewide Interaction and Locus-Heterogeneity Linkage Scan in Bipolar Affective Disorder: Strong Evidence of Epistatic Effects between Loci on Chromosomes 2q and 6q

Rami  Abou Jamra 1, Robert  Fuerst 1, Radka  Kaneva 1, Guillermo  Orozco Diaz 1, Fabio  Rivas 1, Fermin  Mayoral 1, Eudoxia  Gay 1, Sebastian  Sans 1, Maria Jose  González 1, Susana  Gil 1, Francisco  Cabaleiro 1, Francisco  del Rio 1, Fermin  Perez 1, Jesus  Haro 1, Georg  Auburger 1, Vihra  Milanova 1, Christian  Kostov 1, Vesselin  Chorbov 1, Vessela  Stoyanova 1, Amelia  Nikolova-Hill 1, George  Onchev 1, Ivo  Kremensky 1, Assen  Jablensky 1, Thomas G  Schulze 1, Peter  Propping 1, Marcella  Rietschel 1, Markus M  Nöthen 1, Sven  Cichon 1, Thomas F  Wienker 1, Johannes  Schumacher 1
PMCID: PMC2265644  PMID: 17924339

Abstract

We present the first genomewide interaction and locus-heterogeneity linkage scan in bipolar affective disorder (BPAD), using a large linkage data set (52 families of European descent; 448 participants and 259 affected individuals). Our results provide the strongest interaction evidence between BPAD genes on chromosomes 2q22-q24 and 6q23-q24, which was observed symmetrically in both directions (nonparametric LOD [NPL] scores of 7.55 on 2q and 7.63 on 6q; P<.0001 and P=.0001, respectively, after a genomewide permutation procedure). The second-best BPAD interaction evidence was observed between chromosomes 2q22-q24 and 15q26. Here, we also observed a symmetrical interaction (NPL scores of 6.26 on 2q and 4.59 on 15q; P=.0057 and .0022, respectively). We covered the implicated regions by genotyping additional marker sets and performed a detailed interaction linkage analysis, which narrowed the susceptibility intervals. Although the heterogeneity analysis produced less impressive results (highest NPL score of 3.32) and a less consistent picture, we achieved evidence of locus heterogeneity at chromosomes 2q, 6p, 11p, 13q, and 22q, which was supported by adjacent markers within each region and by previously reported BPAD linkage findings. Our results provide systematic insights in the framework of BPAD epistasis and locus heterogeneity, which should facilitate gene identification by the use of more-comprehensive cloning strategies.


Bipolar affective disorder (BPAD [MIM 125480]) is characterized by severe episodes of mania and depression and represents a common disorder affecting ∼1% of the world’s population. Therefore, BPAD is considered to be one of the top public health problems associated with a significant morbidity (World Health Organization, World Health Report 2002). Although formal genetic studies consistently provide strong evidence of a major genetic contribution to BPAD,1 the underlying genetic architecture is poorly understood. The pattern of inheritance is complex, reflecting the actions and interactions of multiple genetic and environmental factors, which has led to difficulties in mapping individual risk genes by conventional linkage studies. Although some promising loci have been identified in BPAD by genomewide linkage studies (reviewed in the work of Craddock and Forty2), the overall linkage picture is characterized by failures to replicate even the most interesting loci indicated by individual studies, and levels of statistical linkage significance point to more-modest effects for each single locus. Even in the most extensive and detailed linkage meta-analysis performed by Segurado et al.,3 no genomewide significant linkage evidence was observed.

Here, we present a systematic approach that allows for a genomewide consideration of susceptibility from multiple loci and may therefore improve the ability to map genes for BPAD. We used a large BPAD linkage data set and performed a genomewide interaction linkage scan. The families represent the same data set with which we previously performed a one-dimensional linkage analysis.4 To estimate the overall significance of the genomewide interaction findings, we performed a permutation procedure, analyzing 10,000 replicates. The BPAD regions showing the strongest interaction evidence were subsequently covered by genotyping additional sets of linkage markers. This step was performed to narrow the susceptibility intervals. In addition, we performed a genomewide locus-heterogeneity analysis to identify BPAD loci in families that show negative linkage evidence at a conditional marker. In particular, we were interested in the pattern of locus heterogeneity within the identified BPAD-interaction regions.

Material and Methods

Subjects

The genomewide interaction scan was performed with 52 families with Spanish, Bulgarian, and Romany descent, consisting of 448 subjects, of whom 259 were affected. Informed consent was obtained from all participants. The study complied with all ethical guidelines of the institutions involved. A description of the family structure is presented in table 1. The ascertainment scheme is given in detail in the work of Schumacher et al.4 In brief, the phenotype evaluation was based on DSM-IV criteria.5 The inclusion criteria for families with BPAD were the presence of a proband with bipolar I (BP I) disorder and a secondary affected sibling with either BP I, bipolar II (BP II), schizoaffective disorder bipolar type (SA/BP), or unipolar recurrent depression (UPR). Given computational constraints, and to reduce the number of statistical tests, the families were not divided into subsamples and were not analyzed separately according to their regional descent. For the same reason, the analysis was restricted to the broad affection status definition (BP I, BP II, SA/BP, and UPR), which included the maximum number of affected individuals and produced the strongest linkage evidence within our one-dimensional scan.4

Table 1. .

Characteristics of the BPAD Sample Studied for the Genomewide Interaction Scan

Family Ethnicity No. of Individuals No. of Affected Individualsa
1 Spanish 26 14
2 Spanish 7 6
4 Spanish 11 9
6 Spanish 25 13
7 Spanish 11 6
8 Spanish 14 8
9 Spanish 7 4
10 Spanish 11 4
12 Spanish 4 4
13 Spanish 11 8
14 Spanish 6 4
16 Spanish 10 5
17 Spanish 9 5
19 Spanish 5 3
20 Spanish 4 3
21 Spanish 6 4
22 Spanish 11 5
25 Spanish 9 7
26 Spanish 14 7
27 Spanish 6 4
28 Spanish 6 3
29 Spanish 9 3
30 Spanish 5 3
32 Spanish 9 6
33 Spanish 5 2
35 Spanish 13 8
36 Spanish 12 5
38 Spanish 8 6
39 Spanish 7 4
40 Spanish 4 3
41 Spanish 9 5
42 Spanish 7 4
45 Spanish 9 4
50 Spanish 7 3
55 Spanish 3 3
56 Spanish 8 4
57 Spanish 5 5
58 Spanish 5 4
61 Spanish 5 3
62 Spanish 5 3
63 Spanish 4 3
64 Spanish 5 2
101 Bulgarian 5 3
113 Bulgarian 4 2
114 Romany 11 6
115 Bulgarian 4 2
129 Bulgarian 4 2
132 Bulgarian 4 2
135 Romany 33 20
140 Romany 15 8
184 Bulgarian 6 2
191 Bulgarian 5 3
 Total 448 259
 Mean 8.6 5
a

The affected status includes BP I, BP II, SA/BP, and UPR.

Genotyping

The genotyping for the genomewide analysis was conducted at the Gene Mapping Center in Berlin (procedures described in the work of Lee et al.6). A total of 435 STR markers were genotyped, with an average intermarker distance of 8.3 cM (deCODE Genetics map). The additional linkage markers, which covered the interacting BPAD regions, were genotyped at deCODE Genetics in Reykjavik (21 markers on chromosome 6q23-q24, with the use of procedures described in the work of Bjornsson et al.7) and at the Institute of Human Genetics in Bonn (21 markers on chromosomes 2q21-q24 and 15q26, with the use of procedures described in the work of Cichon et al.8).

Statistical Analysis

The multipoint nonparametric interaction analysis was performed according to the method described by Kong and Cox,9 with the use of proportional family weights (weightPROP), in accordance with the work of Cox et al.10 In detail, for each family, multimarker NPL scores were calculated under the given trait definition at each genomewide linkage marker. The NPL score of a given family at a given marker locus called the “conditional marker” was then used as a weighting factor (weightPROP) for the same family, and a multipoint NPL analysis at a second marker locus called the “scan marker” was performed. Only families with NPL scores >0 at the conditional locus were included for the interaction linkage analyses at the scan markers. Thus, the weighting factors used were proportional to the linkage evidence at the conditional locus. At each scan marker of the genome, two NPL scores were determined: one unweighted, called the “baseline NPL score,” and one under the weighting scheme, called the “interaction NPL score.” The difference between these two NPL scores is termed “ΔNPL score.” The weighting scheme corresponds to the scheme called “PROP” by Cox et al.,10 except for a slight modification: if the baseline NPL score was <0, it was set to 0 before calculating the difference. This avoids positive ΔNPL scores in a region with negative NPL scores and, thus, negative linkage evidence. Furthermore, ΔNPL scores were calculated only if interaction NPL scores were greater than baseline NPL scores. For the multipoint nonparametric locus-heterogeneity analysis, we adapted the linkage approach described above, with the exception of using another weighting scheme: at the conditional locus, only families with NPL scores <0 were included, and, for the heterogeneity linkage analysis at the scan locus, weighting factors were used that were inversely proportional to the negative NPL scores at the conditional locus. In correspondence with the procedure described above, we determined two NPL scores at the scan locus: one unweighted baseline NPL score and one under the weighing scheme, called the “heterogeneity NPL score.” The difference between both NPL scores was again termed “ΔNPL score.” The baseline NPL score was set to 0 if it was <0, and, as described above, ΔNPL scores were calculated only if heterogeneity NPL scores were greater than baseline NPL scores. Both the genomewide interaction and locus-heterogeneity analyses were restricted to interchromosomal markers, to avoid statistical interference. Both analyses were done by running Allegro version 2.0f.11

To assess the significance of our genomewide interaction and locus-heterogeneity findings, we performed genomewide permutation analyses. We randomly permuted the family weights for all conditional markers simultaneously on the same chromosome to assess their contributions to the interaction and heterogeneity NPL scores. Since ΔNPL scores reflect the differences between the baseline and the interaction/heterogeneity NPL scores, the exceeding probabilities determined by the permutation procedure refer to the P values for both ΔNPL scores and interaction/heterogeneity NPL scores. The permutation was applied to all conditional- and scan-marker combinations only in the case where both were located on separate chromosomes. For each combination, 10,000 permutations were done, and, for each combination, the permutation was followed by calculating the interaction and heterogeneity NPL scores under each weight. Permutation-based NPL scores that exceeded those from the original weighting procedure were counted and were then used to determine the significance of the findings. Permutation analyses were performed by using a dedicated program, which took 193 h for each weighting scheme (interaction and heterogeneity).

To enable the research community to implement all statistical methods, we created a Web site that includes all programs used in the present study (see the Institute for Medical Biometry Web site). In addition, the genotypic and phenotypic information from our genome scan and fine-mapping data set can be obtained on request.

Results

Genomewide Interaction Scan

Figure 1 presents the data from our genomewide interaction scan. Table 2 lists the top 100 genomewide ΔNPL scores, and table 3 presents the top 10 ΔNPL results.

Figure 1. .

Figure  1. 

Genomewide interaction scan for BPAD. The different levels of ΔNPL scores are presented using different colors: red indicates ΔNPL scores >4; yellow indicates ΔNPL scores >3; green indicates ΔNPL scores >2; light blue indicates ΔNPL scores >1; dark blue indicates ΔNPL scores >0; black indicates ΔNPL scores <0.

Table 2. .

Top 100 Genomewide Interaction ΔNPL Scores in BPAD, Ordered according to the Conditional Chromosomes[Note]

Conditional Marker
Scan Marker
Location (Chromosome) of Conditional Markersa and Rank Chromosome Band STR Marker Genetic Map Positionb Chromosome Band STR Marker Genetic Map Positionb Baseline NPL Interaction NPL ΔNPL
1:
 80 1p31 GATA193 103.43 2p21 D2S1356 67.81 1.81 5.15 3.35
 64 1q25 D1S1589 176.25 8q24 D8S1128 135.57 .41 3.94 3.53
 95 1q25 D1S1589 176.25 8q24 D8S256 145.26 .31 3.56 3.25
 40 1q31 D1S518 188.02 9p23 D9S269 24.29 .99 4.89 3.90
 73 1q31 D1S518 188.02 18p11 D18S452 17.62 −.11 3.45 3.45
2:
 70 2p23 D2S405 51.48 11q24 D11S912 137.93 .53 4.00 3.47
 57 2p23 D2S405 51.48 11q24 D11S4150 141.79 .28 3.93 3.65
 37 2p16 D2S1352 76.15 9p23 D9S269 24.29 .99 4.91 3.92
 82 2p14 D2S441 91.23 8p12 D8S1477 53.19 .47 3.81 3.34
 88 2p14 D2S441 91.23 9p23 D9S269 24.29 .99 4.30 3.31
 26 2q14 D2S383 137.62 6q23 D6S1009 138.76 2.67 6.93 4.26
 29 2q21 D2S114 146.86 6q23 D6S1009 138.76 2.67 6.84 4.17
 18 2q21 D2S1334 148.76 6q23 D6S1009 138.76 2.67 7.08 4.41
 11 2q22 D2S1399 158.20 6q23 D6S1009 138.76 2.67 7.54 4.87
 59 2q22 D2S1399 158.20 15q26 D15S642 133.61 .67 4.30 3.63
 9 2q23 D2S2241 163.27 6q23 D6S1009 138.76 2.67 7.63 4.96
 53 2q23 D2S2241 163.27 15q26 D15S642 133.61 .67 4.37 3.70
 19 2q24 D2S1353 167.91 6q23 D6S1009 138.76 2.67 7.07 4.40
 38 2q24 D2S1353 167.91 15q26 D15S642 133.61 .67 4.59 3.92
3:
 84 3q23 D3S1764 145.53 2p23 D2S405 51.48 1.32 4.65 3.33
 98 3q23 D3S1764 145.53 2p22 D2S1788 60.22 2.50 5.72 3.22
4:
 91 4q26 D4S1613 117.85 2q21 D2S1334 148.76 .75 4.02 3.28
 28 4q26 D4S1613 117.85 2q22 D2S1399 158.20 .38 4.63 4.25
 46 4q26 D4S1613 117.85 2q23 D2S2241 163.27 1.06 4.87 3.80
 87 4q26 D4S1613 117.85 2q24 D2S1353 167.91 .23 3.54 3.31
 76 4q28 D4S2394 128.08 2q22 D2S1399 158.20 .38 3.76 3.39
 86 4q32 D4S1629 152.23 Xq27 DXS984 145.80 .95 4.27 3.32
 54 4q32 D4S1629 152.23 Xq27 DXS1205 147.46 .56 4.24 3.69
5:
 94 5q33 D5S820 161.09 2q22 D2S1399 158.20 .38 3.63 3.26
6:
 22 6q23 D6S1009 138.76 2q14 D2S383 137.62 .10 4.48 4.38
 3 6q23 D6S1009 138.76 2q21 D2S1334 148.76 .75 6.94 6.20
 5 6q23 D6S1009 138.76 2q21 D2S114 146.86 .67 6.57 5.89
 1 6q23 D6S1009 138.76 2q22 D2S1399 158.20 .38 7.32 6.94
 99 6q23 D6S1040 129.96 2q22 D2S1399 158.20 .38 3.59 3.21
 2 6q23 D6S1009 138.76 2q23 D2S2241 163.27 1.06 7.55 6.48
 4 6q23 D6S1009 138.76 2q24 D2S1353 167.91 .23 6.24 6.01
 92 6q23 D6S1009 138.76 15q26 D15S966 124.14 .14 3.40 3.26
 21 6q23 D6S1009 138.76 15q26 D15S642 133.61 .67 5.06 4.39
7:
 52 7q22 D7S2420 116.90 13q32 D13S779 95.76 −.04 3.71 3.71
 45 7q31 D7S3061 126.80 2q24 D2S1353 167.91 .23 4.08 3.85
8:
 32 8p21 D8S1771 43.74 9p23 D9S269 24.29 .99 5.08 4.09
 43 8p12 D8S1477 53.19 9p23 D9S269 24.29 .99 4.85 3.87
 93 8q24 D8S1128 135.57 1q25 D1S1589 176.25 .52 3.78 3.26
9:
 31 9p23 D9S269 24.29 1q31 D1S518 188.02 1.08 5.20 4.12
 51 9p23 D9S269 24.29 2p21 D2S1356 67.81 1.81 5.52 3.71
 47 9p23 D9S269 24.29 8p21 D8S1771 43.74 .61 4.39 3.78
 23 9p23 D9S269 24.29 8p12 D8S1477 53.19 .47 4.84 4.37
10:
 17 10q22 D10S1699 95.79 2q24 D2S1353 167.91 .23 4.68 4.46
 97 10q26 D10S1230 144.61 2q23 D2S2241 163.27 1.06 4.30 3.24
 81 10q26 D10S587 148.87 2q23 D2S2241 163.27 1.06 4.41 3.35
11:
 39 11q24 D11S912 137.93 2p22 D2S1788 60.22 2.50 6.41 3.91
 62 11q24 D11S912 137.93 2p21 D2S1356 67.81 1.81 5.38 3.58
 79 11q24 D11S912 137.93 2p23 D2S405 51.48 1.32 4.67 3.35
 77 11q24 D11S4150 141.79 2p23 D2S405 51.48 1.32 4.69 3.37
 35 11q24 D11S4150 141.79 2p22 D2S1788 60.22 2.50 6.45 3.96
 60 11q24 D11S4150 141.79 2p21 D2S1356 67.81 1.81 5.43 3.62
12:
 100 12q24 D12S395 140.17 1p36 D1S1612 13.82 .23 3.44 3.21
13:
 25 13q22 D13S800 67.77 18q22 D18S1364 92.07 −.08 4.27 4.27
 55 13q22 D13S800 67.77 18q22 ATA82B02 98.93 −.66 3.68 3.68
 27 13q31 D13S170 76.17 18q22 D18S1364 92.07 −.08 4.25 4.25
 67 13q31 D13S170 76.17 18q22 ATA82B02 98.93 −.66 3.50 3.50
14:
 63 14q32 D14S617 94.47 2p21 D2S1356 67.81 1.81 5.35 3.54
15:
 71 15q26 D15S966 124.14 2q21 D2S114 146.86 .67 4.14 3.47
 41 15q26 D15S966 124.14 2q21 D2S1334 148.76 .75 4.64 3.89
 44 15q26 D15S966 124.14 6q23 D6S1009 138.76 2.67 6.53 3.86
 12 15q26 D15S966 124.14 2q22 D2S1399 158.20 .38 5.19 4.81
 16 15q26 D15S966 124.14 2q23 D2S2241 163.27 1.06 5.55 4.48
 13 15q26 D15S966 124.14 2q24 D2S1353 167.91 .23 4.86 4.63
 68 15q26 D15S642 133.61 2q14 D2S383 137.62 .10 3.59 3.49
 10 15q26 D15S642 133.61 2q21 D2S1334 148.76 .75 5.67 4.92
 14 15q26 D15S642 133.61 2q21 D2S114 146.86 .67 5.29 4.62
 6 15q26 D15S642 133.61 2q22 D2S1399 158.20 .38 6.03 5.65
 8 15q26 D15S642 133.61 2q23 D2S2241 163.27 1.06 6.26 5.20
 7 15q26 D15S642 133.61 2q24 D2S1353 167.91 .23 5.72 5.50
 15 15q26 D15S642 133.61 6q23 D6S1009 138.76 2.67 7.20 4.53
16:
 66 16q24 D16S2621 127.19 13q32 D13S779 95.76 −.04 3.51 3.51
 74 16q24 D16S3121 131.09 13q32 D13S779 95.76 −.04 3.42 3.42
18:
 24 18p11 D18S452 17.62 1q31 D1S518 188.02 1.08 5.41 4.33
 48 18p11 D18S843 28.11 1q31 D1S518 188.02 1.08 4.84 3.76
 85 18q12 D18S877 52.37 3p26 D3S4545 23.45 −.14 3.32 3.32
 34 18q22 D18S1364 92.07 13q31 D13S170 76.17 .53 4.50 3.97
21:
 33 21q22 D21S2055 40.79 Xq27 DXS1205 147.46 .56 4.62 4.06
 49 21q22 D21S2055 40.79 Xq27 DXS984 145.80 .95 4.67 3.73
22:
 50 22q12 D22S689 32.92 2q21 D2S114 146.86 .67 4.39 3.72
 90 22q12 D22S689 32.92 2q21 D2S1334 148.76 .75 4.04 3.29
 65 22q12 D22S689 32.92 2q22 D2S1399 158.20 .38 3.89 3.52
 83 22q12 D22S683 40.79 2q21 D2S114 146.86 .67 4.01 3.33
X:
 75 Xp22 DXS1226 38.70 2q21 D2S114 146.86 .67 4.07 3.40
 58 Xp21 DXS1202 42.78 2q21 D2S114 146.86 .67 4.32 3.65
 96 Xp21 DXS1202 42.78 2q21 D2S1334 148.76 .75 4.00 3.25
 69 Xp11 DXS228 66.59 13q32 D13S779 95.76 −.04 3.49 3.49
 72 Xq27 DXS984 145.80 21q22 D21S2055 48.10 .21 3.67 3.46
 56 Xq27 DXS1205 147.46 21q22 D21S2055 48.10 .21 3.86 3.65

Note.— For each scan marker, the ΔNPL and interaction NPL scores are presented. In addition, the baseline NPL score observed in the one-dimensional genomewide scan is presented.

a

Genomewide locus-heterogeneity evidence was obtained with the use of conditional markers on the specified chromosomes.

b

Determined from the deCODE Genetics sex-averaged map.

Table 3. .

Genomewide Top 10 ΔNPL Scores in BPAD, Ordered according to Interacting Regions[Note]

Conditional Marker
Scan Marker
Rank Chromosome Marker Positiona Chromosome Marker Positiona Baseline NPL Interaction NPL ΔNPL Pb
1 6 D6S1009 138.76 2 D2S1399 158.20 .38 7.32 6.94 .0001
2 6 D6S1009 138.76 2 D2S2241 163.27 1.06 7.55 6.48 <.0001
3 6 D6S1009 138.76 2 D2S1334 148.76 .75 6.94 6.20 .0005
4 6 D6S1009 138.76 2 D2S1353 167.91 .23 6.24 6.01 .0008
5 6 D6S1009 138.76 2 D2S114 146.86 .67 6.57 5.89 .0014
9 2 D2S2241 163.27 6 D6S1009 138.76 2.67 7.63 4.96 .0001
6 15 D15S642 133.69 2 D2S1399 158.20 .38 6.03 5.65 .0061
7 15 D15S642 133.69 2 D2S1353 167.91 .23 5.72 5.50 .0044
8 15 D15S642 133.69 2 D2S2241 163.27 1.06 6.26 5.20 .0057
10 15 D15S642 133.69 2 D2S1334 148.76 .75 5.67 4.92 .0127

Note.— For each scan marker, the ΔNPL and interaction NPL scores are presented. In addition, the baseline NPL score observed in the one-dimensional genomewide scan is presented.

a

Determined from the deCODE Genetics sex-averaged map.

b

P values are determined through 10,000 genomewide permutations.

Only two findings—between chromosomes 2q and 6q as well as 2q and 15q—belonged to the top 10 genomewide BPAD interactions and produced ΔNPL scores >5 (table 3 and fig. 1). On chromosome 2q22-q24, four adjacent markers showed ΔNPL scores >6 with use of a conditional STR on 6q23. Within the center of this region, we observed the strongest interaction, with a ΔNPL score of 6.94, at D2S1399 and an interaction NPL score of 7.55 at D2S2241 (table 3). This interaction is supported by the genomewide permutation procedure. P values between <.0001 and .0014 were observed for all implicated 2q markers (table 3). In addition, our analysis provided strong interaction evidence on chromosome 6q23 (ΔNPL scores >4) by the use of conditional markers on 2q22-q24 (fig. 1 and table 2). One of these findings belongs to the top 10 genomewide interaction results. At D6S1009, we observed a ΔNPL score of 4.96 and an interaction NPL score of 7.63 (table 3). This vice-versa interaction was observed only once by chance through 10,000 permutations (P=.0001) (table 3). The second BPAD interaction with ΔNPL scores belonging to the top 10 genomewide results was observed between 15q26 and, again, chromosome 2q22-q24 (table 3 and fig. 1). With use of D15S642 as the conditional marker, three adjacent STRs on chromosome 2q showed ΔNPL scores >5. The strongest interaction was observed at D2S1399, with a ΔNPL score of 5.65 (table 3). The genomewide permutation showed that one would expect this interaction in 61 of 10,000 replicates by chance (P=.0061) (table 3). The highest interaction NPL score of 6.26 was observed at D2S2241 (table 3). Although none of the 15q markers showed ΔNPL scores belonging to the top 10 interaction results, there was some evidence of epistasis in both directions. By use of 2q STRs as conditional markers, ΔNPL scores >3 were observed on chromosome 15q26 (best ΔNPL score of 3.92 at D15S642, rank 38, P=.0022) (table 2).

Detailed Interaction Linkage Analysis on Chromosomes 2q22-q24 and 6q23-q24

In addition to the genomewide scan markers, 15 further STR markers on chromosome 2q (interval D2S347D2S376, average intermarker distance 2.06 cM) and 21 further STRs on chromosome 6q were genotyped (interval D6S407D6S494, average intermarker distance 1.21 cM) (table 4). The most centromeric and telomeric markers were located at a distance of >10 cM from the STRs, which showed ΔNPL scores within the genomewide top 10 range. On chromosome 2q, 113 marker combinations showed ΔNPL scores >5 with use of conditional STRs on 6q. The 10 best ΔNPL findings—scores between 5.97 and 6.69—are presented in table 5 and were observed at four adjacent markers (table 5 and fig. 2A). The strongest interaction NPL score of 6.70 was observed at D2S222 (table 5). In the vice-versa direction, a total of 133 marker combinations showed ΔNPL scores >4 on chromosome 6q. The 10 best ΔNPL findings—scores between 4.67 and 4.84—are located in the same region as those found when chromosome 6 STRs were used as conditional markers for the chromosome 2q scan (table 5 and fig. 2B). The strongest interaction NPL score of 7.66 was observed at D6S403 (table 5).

Table 4. .

Fine-Mapping Linkage Markers Ordered according to Their Interacting Regions[Note]

Chromosome and Fine-Mapping Linkage Marker Physical Positiona/Distance to Next Marker Genetic Map Positionb/Distance to Next Marker Average Heterozygosity
2q21-q24:
D2S347 123.97/2.15 135.31/2.31 .74
D2S383 126.12/1.70 137.62/2.86 .77
D2S2271 127.82/1.89 140.48/1.79 .77
D2S2215 129.71/5.12 142.27/4.59 .86
D2S114 134.04/4.33 146.86/1.75 .84
D2S368 134.89/1.28 148.61/.15 .84
D2S1334 136.17/.66 148.76/1.62 .83
D2S2367 137.83/4.23 150.38/3.03 .57
D2S2334 142.06/3.22 153.41/3.78 .70
D2S381 145.28/2.75 157.19/1.01 .72
D2S1399 147.93/.60 158.20/.15 .82
D2S222 148.53/3.00 158.35/3.01 .78
D2S2275 151.53/2.69 161.36/1.91 .77
D2S2241 154.22/.50 163.27/.00 .83
D2S321 154.72/.93 163.27/1.91 .75
D2S2950 155.65/3.61 165.18/2.73 .73
D2S1353 159.27/4.06 167.91/1.67 .83
D2S2395 163.32/3.08 169.58/1.52 .44
D2S2330 166.41/2.96 171.10/2.77 .84
D2S1776 169.35/1.73 173.87/2.64 .75
D2S376 171.08/… 176.51/… .47
6q23-q24:
D6S407 128.86/1.50 127.89/2.03 .87
D6S1705 130.36/.67 129.92/.04 .63
D6S1040 131.03/.35 129.96/.68 .75
D6S1572 131.38/.39 130.64/.09 .86
D6S262 131.77/.41 130.73/.21 .84
D6S1656 132.18/.51 130.94/.39 .76
D6S413 132.69/.90 131.33/1.09 .37
D6S975 133.59/.51 132.42/.17 .73
D6S1038 134.10/.0.35 132.25/1.32 .63
D6S976 134.45/.0.25 133.57/1.35 .66
D6S270 134.70/1.63 134.92/1.39 .71
D6S1626 136.32/1.02 136.31/2.45 .75
D6S1009 137.34/1.12 138.76/2.40 .78
D6S1587 138.46/.63 141.16/2.05 .43
D6S1569 139.10/.36 143.21/.38 .82
D6S1699 139.46/.30 143.59/.07 .61
D6S403 139.75/.47 143.66/1.05 .74
D6S1684 140.23/1.91 144.71/.43 .84
D6S310 142.14/1.78 145.14/1.32 .83
D6S1704 143.92/2.16 146.46/1.06 .74
D6S1703 146.06/1.95 147.52/2.04 .82
GATA184A08 148.01/.86 149.56/1.01 .80
D6S1637 148.87/2.77 150.57/5.18 .73
D6S494 151.64/… 155.75/… .77
15q26:
D15S130 92.51/.31 108.21/2.73 .71
D15S816 92.82/1.19 110.94/4.12 .63
D15S207 94.01/.50 115.06/1.48 .73
D15S657 94.51/1.59 116.54/3.54 .79
D15S107 96.10/.66 120.10/4.04 .71
D15S966 96.77/1.19 124.14/6.54 .81
STR15-980 97.96/1.47 130.68/2.04 .75
STR15-994 99.43/.72 132.64/5.00 .70
D15S642 100.15/.06 133.60/.09 .83
STR15-1002 100.21/… 133.69/… .69

Note.— The physical (NCBI build 36.1) and genetic (deCODE Genetics) positions are given. No genetic map information is available for markers D15S107, STR15-980, STR15-994, and STR15-1002. For these markers, genetic map positions were calculated by interpolating their physical positions (according to the UCSC Genome Browser) with the nearest markers listed by the deCODE Genetics sex-averaged map. The intermarker distances and the average heterozygosity are indicated.

a

Positions (in Mb) according to NCBI build 36.1.

b

Positions (in cM) according to deCODE Genetics sex-averaged map.

Table 5. .

ΔNPL Scores for the BPAD Interaction between Chromosome 2q22-q24 and 6q23-q24[Note]

Conditional Marker
Scan Marker
Chromosome
and Rank
Marker Positiona Marker Positiona Baseline NPL Interaction NPL ΔNPL
2q22-q24:
 1 D6S1009 138.76 D2S1399 158.20 −.04 6.69 6.69
 2 D6S1587 141.16 D2S1399 158.20 −.04 6.69 6.69
 3 D6S1009 138.76 D2S381 157.19 −.03 6.67 6.67
 4 D6S1009 138.76 D2S222 158.35 .06 6.70 6.64
 5 D6S1587 141.16 D2S381 157.19 −.03 6.63 6.63
 6 D6S1587 141.16 D2S222 158.35 .06 6.69 6.63
 7 D6S1626 136.31 D2S1399 158.20 −.04 6.09 6.09
 8 D6S1626 136.31 D2S381 157.19 −.03 6.07 6.07
 9 D6S1626 136.31 D2S222 158.35 .06 6.10 6.03
 10 D6S1009 138.76 D2S2275 161.36 .84 6.81 5.97
6q23-q24:
 1 D2S1353 167.91 D6S1587 141.16 2.67 7.51 4.84
 2 D2S1353 167.91 D6S403 143.66 2.91 7.66 4.79
 3 D2S1353 167.91 D6S1699 143.59 2.89 7.64 4.74
 4 D2S321 163.27 D6S1587 141.16 2.67 7.39 4.72
 5 D2S2241 163.27 D6S1587 141.16 2.67 7.39 4.72
 6 D2S381 157.19 D6S1587 141.16 2.67 7.38 4.71
 7 D2S1353 167.91 D6S1009 138.76 2.85 7.55 4.70
 8 D2S1399 158.20 D6S1587 141.16 2.67 7.36 4.69
 9 D2S222 158.19 D6S1587 141.16 2.67 7.34 4.67
 10 D2S2950 165.18 D6S976 133.57 2.70 7.37 4.67

Note.— The first set of 10 rankings represents the strongest ΔNPL and interaction NPL scores on chromosome 2q22-q24 with the use of STRs on 6q as conditional markers. The second set of 10 rankings represents the strongest ΔNPL and interaction NPL scores on chromosome 6q23-q24 with the use of STRs on 2q as conditional markers. In addition, for each scan marker, the baseline NPL score is presented.

a

Determined from the deCODE Genetics sex-averaged map.

Figure 2. .

Figure  2. 

Three-dimensional ΔNPL plot for the BPAD interaction between chromosomes 2q22-q24 and 6q23-q24. The 1-LOD intervals are given at the bottom of the plot, in blue. Genetic-marker positions are determined from the deCODE Genetics sex-averaged map, and ΔNPL scores are indicated by red lines. A, Interaction on chromosome 2q22-q24, presented using STRs on 6q as conditional markers (highest ΔNPL score 6.69). B, Interaction on chromosome 6q23-q24, presented using STRs on 2q as conditional markers (highest ΔNPL score 4.84).

The robustness of our finding is implicated not only by the permutation analysis but also by the fact that a high proportion of the families contributes to the interaction. With use of STRs on 6q23-q24 as conditional markers, ∼69% (n=36) of the 52 families contributed to the interaction on 2q, and ∼36% (n=19) were thereby attributed with a weightPROP factor >1, indicating that their linkage contribution to the interaction findings increased by a factor >1 compared with the baseline study (factor=1) (fig. 3A and 3B). Similarly, a majority, ∼61% (n=32), of families contributed to the interaction on 6q with use of conditional markers at 2q22-q24, and ∼36% (n=19) were attributed with a weightPROP factor >1 (fig. 3A and 3B). The symmetry of our finding is also indicated by the distribution of families contributing to the vice-versa interaction: ∼42% (n=22) of families were included in the study through their overlapping linkage evidence at conditional loci 2q and 6q, and ∼21% (n=11) were thereby attributed with a weightPROP factor >1 (fig. 3A and 3B).

Figure 3. .

Figure  3. 

Proportions of families contributing to the BPAD interaction. Each unit represents one linkage family (total n=52). A, BPAD interaction between chromosomes 2q22-q24 (D2S1353, D2S381, D2S222, D2S321, and D2S2950) and 6q23-q24 (D6S1587, D6S1626, D6S1699, D6S403, and D6S1569). Red indicates 10 families assigned a weightPROP factor >0 at markers within the top 10 interaction interval on 2q22-q24 and assigned a weightPROP factor of 0 at markers within the top 10 interaction interval on 6q23-q24. Blue indicates 14 families assigned a weightPROP factor >0 at markers on 6q23-q24 and assigned a weightPROP factor of 0 at markers on 2q22-q24. Purple indicates 22 families assigned a weightPROP factor >0 at markers on 2q22-q24 and at markers on 6q23-q24. Gray indicates six families assigned a weightPROP factor of 0 at all markers on 2q22-q24 and on 6q23-q24. B, Proportions of families with strong contribution—defined by weightPROP factors >1—to the BPAD interaction between chromosomes 2q22-q24 and 6q23-q24. Red indicates eight families assigned a weightPROP factor >1 at markers on 2q22-q24 and assigned a weightPROP factor of 0 at markers on 6q23-q24. Blue indicates eight families assigned a weightPROP factor >1 at markers on 6q23-q24 and assigned a weightPROP factor of 0 at markers on 2q22-q24. Purple indicates 11 families assigned a weightPROP factor >1 at markers on 2q22-q24 and at markers on 6q23-q24. Gray indicates 19 families assigned a weightPROP factor >0 at markers on 2q22-q24 (right) or at markers on 6q23-q24 (left). Black indicates six families assigned a weightPROP factor of 0 at all markers on 2q22-q24 and on 6q23-q24. C, BPAD interaction between chromosomes 2q22-q24 (D2S1353, D2S2395, D2S2950, D2S381, or D2S222) and 15q26 (STR15-980, STR15-994, or D15S107). Red indicates 15 families assigned a weightPROP factor >0 at markers on 2q22-q24 and assigned a weightPROP factor of 0 at markers on 15q26. Blue indicates 14 families assigned a weightPROP factor >0 at markers on 15q26 and assigned a weightPROP factor of 0 at markers on 2q22-q24. Purple indicates 17 families assigned a weightPROP factor >0 at markers on 2q22-q24 and at markers on 15q26. Gray indicates six families assigned a weightPROP factor of 0 at all markers within the top 10 interaction interval on 2q22-q24 and on 15q26. D, Proportions of families with strong contribution—defined by weightPROP factors >1—to the BPAD interaction between chromosomes 2q22-q24 and 15q26. Red indicates 12 families assigned a weightPROP factor >1 at markers on 2q22-q24 and assigned a weightPROP factor of 0 at markers on 15q26. Blue indicates four families assigned a weightPROP factor >1 at markers on 15q26 and assigned a weightPROP factor of 0 at markers on 2q22-q24. Purple indicates 11 families assigned a weightPROP factor >1 at markers on 2q22-q24 and at markers on 15q26. Gray indicates 22 families assigned a weightPROP factor of >0 at markers on 2q22-q24 (right) or at markers on 15q26 (left). Black indicates six families assigned a weightPROP factor of 0 at all markers within the top 10 interaction interval on 2q22-q24 and on 15q26.

Detailed Interaction Linkage Analysis on Chromosomes 2q22-q24 and 15q26

The second-best BPAD interaction was observed between chromosomes 2q22-q24 and 15q26. Whereas the 2q region was already covered by 21 STR markers for the 6q fine mapping, 6 additional markers were genotyped on the 15q26 (interval D15S130STR15-1002, average intermarker distance 2.83 cM) (table 4). Since D15S642—which showed the strongest genomewide interaction—is located only 0.18 Mb from the telomeric end of chromosome 15, little information about additional STRs within this region is available in public databases. We therefore performed a marker discovery analysis, using the tandem repeat finder program by Benson et al.,12 and identified three hitherto unknown markers (STR15-980, STR15-994, and STR15-1002), which were analyzed together with three annotated markers. The most centromeric marker (D15S130) was located at a distance of >10 cM from D15S642. On chromosome 2q, we observed at 11 marker combinations ΔNPL scores >5, using conditional STRs on 15q. The 10 best ΔNPL findings—scores between 5.08 and 5.62—were found in a circumscribed region with use of two adjacent 15q conditional markers (table 6 and fig. 4A). The strongest interaction NPL score of 6.00 was observed for D2S2950 (table 6). In the vice-versa direction, a total of 23 marker combinations showed ΔNPL scores >3 on chromosome 15q. The same two STRs that produced the strongest interaction evidence when used as conditional markers for the 2q scan were implicated by the top 10 ΔNPL findings on chromosome 15q (scores between 3.40 and 3.74) (table 6 and fig. 4A). The strongest interaction NPL score on 15q26 was 3.86 and is located at D15S642 (table 6).

Table 6. .

ΔNPL Scores for the BPAD Interaction between Chromosomes 2q22-q24 and 15q26[Note]

Conditional Marker
Scan Marker
Chromosome
and Rank
Marker Positiona Marker Positiona Baseline NPL Interaction NPL ΔNPL
2q22-q24:
 1 STR15-1002 133.69 D2S1399 158.20 −.04 5.62 5.62
 2 STR15-1002 133.69 D2S381 157.19 −.03 5.59 5.59
 3 D15S642 133.60 D2S1399 158.20 −.04 5.58 5.58
 4 D15S642 133.60 D2S381 157.19 −.03 5.56 5.56
 5 STR15-1002 133.69 D2S222 158.53 .06 5.62 5.56
 6 D15S642 133.60 D2S222 158.53 .06 5.58 5.52
 7 STR15-1002 133.69 D2S2334 153.41 .63 5.89 5.26
 8 D15S642 133.60 D2S2334 153.41 .63 5.86 5.23
 9 STR15-1002 133.69 D2S2950 165.18 .88 6.00 5.12
 10 D15S642 133.60 D2S2950 165.18 .88 5.96 5.08
15q26:
 1 D2S1353 167.91 D15S642 133.60 .11 3.86 3.74
 2 D2S1353 167.91 STR15-1002 133.69 .11 3.84 3.73
 3 D2S2395 169.58 D15S642 133.60 .11 3.79 3.68
 4 D2S2950 165.18 D15S642 133.60 .11 3.78 3.67
 5 D2S2395 169.58 STR15-1002 133.69 .11 3.77 3.67
 6 D2S2950 165.18 STR15-1002 133.69 .11 3.77 3.66
 7 D2S321 163.27 D15S642 133.60 .11 3.52 3.41
 8 D2S2241 163.27 D15S642 133.60 .11 3.52 3.41
 9 D2S321 163.27 STR15-1002 133.69 .11 3.50 3.40
 10 D2S2241 163.27 STR15-1002 133.69 .11 3.50 3.40

Note.— The first set of 10 rankings represents the strongest ΔNPL and interaction NPL scores on chromosome 2q22-q24 with the use of STRs on 15q as conditional markers. The second set of 10 rankings represents the strongest ΔNPL and interaction NPL scores on chromosome 15q26 with the use of STRs on 2q as conditional markers. In addition, for each scan marker, the baseline NPL score is presented.

a

Determined from the deCODE Genetics sex-averaged map. No genetic map information is available for markers D15S107, STR15-980, and STR15-994. For these markers, genetic map positions were calculated by interpolating their physical positions (according to the UCSC Genome Browser) with the nearest marker listed by the deCODE Genetics sex-averaged map.

Figure 4. .

Figure  4. 

Three-dimensional ΔNPL plot for the BPAD interaction between chromosome 2q22-q24 and 15q26. The 1-LOD intervals are given at the bottom of the plot, in blue. Genetic-marker positions are determined from the deCODE Genetics sex-averaged map, and ΔNPL scores are indicated by red lines. A, Interaction on chromosome 15q26, presented using STRs on 2q as conditional markers (highest ΔNPL score 3.74). B, Interaction on chromosome 2q22-q24, presented using STRs on 15q as conditional markers (highest ΔNPL score 5.62).

Although less impressive when compared with the BPAD interaction between 2q and 6q, the interaction between 2q and 15q was observed in a substantial proportion of families. With use of STRs on 15q26 as conditional markers, ∼59% (n=31) of families contributed to the interaction on 2q, and ∼21% (n=11) were thereby attributed with a weightPROP factor >1 (fig. 3C and 3D). With use of conditional markers at 2q22-q24, ∼61% of families contributed to the interaction on 15q, and ∼36% were attributed with a weightPROP factor >1 (fig. 3C and 3D). Furthermore, fewer families than those in the 2q-6q interaction contributed symmetrically to the epistasis between 2q and 15q: ∼32% (n=17) of families were included in the study because of their overlapping linkage evidence at both loci, and a moderate number, ∼13% (n=7), of families were thereby attributed with a weightPROP factor >1 (fig. 3C and 3D).

Genomewide Locus-Heterogeneity Scan

In addition to the identification of interacting BPAD loci, we were interested in the pattern of locus heterogeneity in our family data set. Therefore, we performed a genomewide locus-heterogeneity analysis. Those BPAD-affected families that showed negative linkage evidence at each conditional marker were assigned a weight proportional to the absolute value of the NPL score. Table 7 lists the top 10 heterogeneity findings, representing the ΔNPL scores >2.5 (see table 8 for the top 100 heterogeneity findings). The reason for these rather moderate linkage findings and the fact that they were assessed as significant by our permutation procedure (see table 7) can be explained by the small proportion of contributing families. Although many families (n=24–26) were included in the analysis of the top 10 heterogeneity results with a weightPROP factor >0, only a few families (n=1–6) contributed to these findings with a weightPROP factor >1. Table 9 provides detailed information about the permutation results and families included.

Table 7. .

Genomewide Top 10 ΔNPL Scores in BPAD, Ordered according to Regions of Locus Heterogeneity[Note]

Conditional Marker
Scan Marker
Rank Chromosome Marker Positiona Chromosome Marker Positiona Baseline NPL Heterogeneity NPL ΔNPL Pb
1 11 D11S1981 25.59 6 D6S477 9.18 .54 3.19 2.65 .0004
2 6 D6S1613 96.90 X DXS7108 18.37 .01 2.60 2.59 <.0001
3 11 D11S912 137.90 3 D3S4545 23.45 −.14 2.59 2.59 .0005
4 16 D16S3396 61.64 8 D8S1128 135.57 .41 3.00 2.59 .0004
5 21 D21S2052 29.48 22 D22S689 32.92 .08 2.65 2.57 .0001
6 13 D13S265 80.80 2 D2S1399 152.04 .38 2.94 2.57 .0096
7 11 D11S1279 57.39 9 D9S1122 74.35 −.17 2.56 2.56 .0001
8 22 D22S1169 68.82 2 D2S1334 145.08 .75 3.29 2.55 .0154
9 9 D9S910 101.60 1 D1S549 239.66 .79 3.32 2.53 <.0001
10 22 D22S1169 68.82 11 D11S1998 119.99 −.08 2.52 2.52 .0001

Note.— For each scan marker, the ΔNPL and the heterogeneity NPL scores are presented. In addition, the baseline NPL score observed in the one-dimensional genomewide scan is presented.

a

Determined from the deCODE Genetics sex-averaged map.

b

P values are determined through 10,000 genomewide permutations.

Table 8. .

Top 100 Genomewide Heterogeneity ΔNPL Scores in BPAD, Ordered according to the Conditional Chromosomes[Note]

Conditional Marker
Scan Marker
Location (Chromosome) of Conditional Markersa and Rank Chromosome Band STR Marker Genetic Map Positionb Chromosome Band STR Marker Genetic Map Positionb Baseline NPL Heterogeneity NPL ΔNPL
1:
 89 1p36 D1S3669 33.65 9q21 D9S301 66.99 .38 2.51 2.13
 99 1p36 D1S3669 33.65 9q21 D9S1122 74.35 −.17 2.11 2.11
 68 1p34 D1S3721 65.87 2q21 D2S1334 148.76 .75 2.94 2.19
 76 1p34 D1S3721 65.87 2q22 D2S1399 158.20 .38 2.55 2.18
 40 1p33 D1S2134 71.29 9q21 D9S301 66.99 .38 2.68 2.30
 50 1p33 D1S2134 71.29 9q21 D9S1122 74.35 −.17 2.25 2.25
 90 1p33 D1S2134 71.29 9q21 D9S922 77.77 −.01 2.13 2.13
 100 1p13 D1S3723 128.10 10p11 D10S213 55.29 1.19 3.29 2.11
 13 1p12 D1S534 140.68 18q22 D18S1364 92.07 −.08 2.49 2.49
 86 1q23 D1S1679 159.05 14q11 D14S283 14.70 .19 2.33 2.14
 88 1q24 ATA38A05 167.08 14q11 D14S283 14.70 .19 2.32 2.13
 27 1q41 D1S549 239.66 13q14 D13S788 54.84 .12 2.47 2.36
 85 1q42 D1S3462 235.37 9q21 D9S1122 74.35 −.17 2.14 2.14
 35 1q44 D1S2682 274.27 3q28 D3S3663 208.65 −.36 2.32 2.32
2:
 48 2p11 D2S1790 107.88 3p24 D3S2336 46.73 .14 2.39 2.25
 55 2p11 D2S1790 107.88 3p24 D3S3038 43.38 .11 2.33 2.22
 58 2q11 D2S2972 116.13 3p24 D3S3038 43.38 .11 2.33 2.22
 71 2q11 D2S2972 116.13 3p24 D3S2336 46.73 .14 2.33 2.19
 49 2q22 D2S1399 158.20 19q13 D19S412 74.65 1.09 3.34 2.25
 77 2q37 D2S345 249.16 7q36 D7S3058 177.54 .36 2.53 2.17
3:
 60 3p24 D3S3038 43.38 20p12 D20S470 44.34 .16 2.37 2.21
 92 3p24 D3S2336 46.73 20p12 D20S470 44.34 .16 2.28 2.13
 81 3p21 D3S1578 72.68 8p12 D8S1477 53.19 .47 2.63 2.16
 41 3q21 D3S3607 135.10 4p15 D4S418 49.58 .11 2.41 2.30
 74 3q21 D3S3607 135.10 4p15 D4S2632 54.21 .40 2.58 2.18
 97 3q26 D3S3730 184.15 1q41 D1S549 239.66 .79 2.91 2.12
 11 3q29 D3S1311 220.19 2q24 D2S1353 167.91 .23 2.73 2.50
 18 3q29 D3S1311 220.19 2q23 D2S2241 163.27 1.06 3.49 2.42
 25 3q29 D3S1311 220.19 2q22 D2S1399 158.20 .38 2.75 2.38
5:
 93 5q34 D5S1471 173.71 19q13 D19S412 74.65 1.09 3.22 2.13
6:
 2 6q15 D6S1613 96.90 Xp22 DXS7108 18.37 .01 2.60 2.59
 69 6q23 D6S1040 129.96 5p15 D5S2849 8.35 −.35 2.19 2.19
 54 6q27 D6S1719 178.60 12q23 D12S1300 109.82 −.49 2.23 2.23
7:
 26 7q35 D7S2195 1523.23 12p12 D12S373 35.32 1.03 3.38 2.36
 78 7q35 D7S2195 153.23 2q21 D2S114 146.86 .67 2.84 2.17
 51 7q36 D7S3070 165.57 2q21 D2S114 146.86 .67 2.92 2.24
 36 7q36 D7S3058 177.54 2q24 D2S1353 167.91 .23 2.54 2.32
 19 7q36 D7S559 182.96 2q21 D2S114 146.86 .67 3.09 2.42
 67 7q36 D7S559 182.96 2q21 D2S1334 148.76 .75 2.94 2.20
 80 7q36 D7S559 182.96 2q22 D2S1399 158.20 .38 2.54 2.16
8:
 87 8q24 D8S1128 135.57 16q12 D16S3396 61.64 .16 2.30 2.14
9:
 9 9q22 D9S910 101.64 1q41 D1S549 239.66 .79 3.32 2.53
 28 9q31 D9S938 105.89 1q41 D1S549 239.66 .79 3.14 2.35
10:
 98 10p15 D10S1435 5.57 7p14 D7S2846 59.12 .05 2.16 2.11
 44 10p11 D10S213 55.29 22q12 D22S683 40.79 .35 2.62 2.27
11:
 31 11p15 D11S1999 17.05 1p36 D1S1597 23.27 .17 2.51 2.33
 1 11p15 D11S1981 25.59 6p25 D6S477 9.18 .54 3.19 2.65
 43 11p15 D11S1981 25.59 6p24 D6S470 23.75 −.28 2.27 2.27
 23 11p14 D11S1977 42.22 6p25 D6S477 9.18 .54 2.93 2.39
 22 11p14 D11S4115 44.48 6p25 D6S477 9.18 .54 2.94 2.40
 20 11p13 D11S2001 47.08 6p25 D6S477 9.18 .54 2.96 2.41
 7 11p12 D11S1279 57.39 9q21 D9S1122 74.35 −.17 2.56 2.56
 17 11p12 D11S1279 57.39 9q21 D9S922 77.77 −.01 2.43 2.43
 62 11q11 D11S1920 65.66 9p21 D9S169 49.65 .02 2.23 2.21
 72 11q11 D11S1920 65.66 9p21 D9S1118 54.50 .04 2.22 2.19
 82 11q13 D11S1337 72.41 9q21 D9S1122 74.35 −.17 2.15 2.15
 94 11q13 D11S1337 72.41 9q21 D9S922 77.77 −.01 2.13 2.13
 14 11q13 D11S1975 76.76 9q21 D9S922 77.77 −.01 2.48 2.48
 16 11q13 D11S1975 76.76 9q21 D9S1122 74.35 −.17 2.43 2.43
 63 11q13 D11S1975 76.76 8q24 D8S1128 135.57 .41 2.62 2.21
 57 11q13 D11S916 80.39 9q21 D9S922 77.77 −.01 2.22 2.22
 64 11q13 D11S916 80.39 9q21 D9S1122 74.35 −.17 2.21 2.21
 33 11q24 D11S4464 130.43 3p26 D3S4545 23.45 −.14 2.33 2.33
 3 11q24 D11S912 137.93 3p26 D3S4545 23.45 −.14 2.59 2.59
 32 11q24 D11S4150 141.79 3p26 D3S4545 23.45 −.14 2.33 2.33
12:
 84 12p13 D12S374 16.35 1q42 D1S3462 235.37 −.25 2.15 2.15
 12 12q23 D12S1300 109.82 6q27 D6S1719 178.60 .00 2.50 2.50
 29 12q24 D12S2070 132.11 6q27 D6S1719 178.60 .00 2.35 2.35
13:
 34 13q12 D13S1242 21.93 3q12 D3S2459 113.38 −.43 2.32 2.32
 59 13q12 D13S1242 21.93 3p12 D3S4529 108.71 −.81 2.22 2.22
 42 13q31 D13S170 76.17 2q22 D2S1399 158.20 .38 2.67 2.29
 46 13q31 D13S170 76.17 2q24 D2S1353 167.91 .23 2.49 2.27
 6 13q31 D13S265 80.80 2q22 D2S1399 158.20 .38 2.94 2.57
 21 13q31 D13S265 80.80 2q24 D2S1353 167.91 .23 2.64 2.41
 56 13q31 D13S265 80.80 2q23 D2S2241 163.27 1.06 3.28 2.22
15:
 70 15q13 D15S165 22.64 4q31 D4S1644 137.88 1.04 3.23 2.19
 95 15q22 D15S643 59.51 11p13 D11S1392 50.64 .74 2.86 2.12
 96 15q22 D15S643 59.51 11p13 D11S2001 47.08 .47 2.59 2.12
16:
 66 16p13 D16S521 1.14 8p11 D8S532 59.76 .09 2.28 2.20
 52 16p13 D16S2616 16.36 8p11 D8S532 59.76 .09 2.33 2.24
 4 16q12 D16S3396 61.64 8q24 D8S1128 135.57 .41 3.00 2.59
 24 16q12 D16S3396 61.64 8q24 D8S1179 129.33 −.03 2.38 2.38
 15 16q12 D16S3253 69.43 8q24 D8S1128 135.57 .41 2.89 2.48
 73 16q12 D16S3253 69.43 8q24 D8S1179 129.33 −.03 2.19 2.19
17:
 79 17p13 D17S1791 24.41 9q34 D9S1838 157.51 −.53 2.17 2.17
 83 17p11 D17S2196 47.32 Xp22 DXS7108 18.37 .01 2.16 2.15
18:
 30 18q11 D18S1104 42.72 9q21 D9S1122 74.35 −.17 2.34 2.34
 91 18q11 D18S1104 42.72 9q21 D9S301 69.99 .38 2.51 2.13
 39 18q12 D18S877 52.37 13q14 D13S788 54.84 .12 2.42 2.30
19:
 65 19p13 D19S591 9.73 17p13 D17S1303 31.25 .72 2.92 2.20
20:
 37 20p12 D20S604 35.78 18q22 D18S1364 92.07 −.08 2.31 2.31
21:
 5 21q21 D21S2052 29.48 22q12 D22S689 32.92 .08 2.65 2.57
 53 21q21 D21S2052 29.48 2q21 D2S114 146.86 .67 2.90 2.23
22:
 61 22q11 D22S420 2.96 16p13 D16S2616 16.36 −.04 2.21 2.21
 75 22q11 D22S420 2.96 16p13 D16S521 1.14 .21 2.39 2.18
 8 22q13 D22S1169 68.82 2q21 D2S1334 148.76 .75 3.29 2.55
 10 22q13 D22S1169 68.82 11q23 D11S1998 119.99 −.08 2.52 2.52
 38 22q13 D22S1169 68.82 2q22 D2S1399 158.20 .38 2.68 2.30
 45 22q13 D22S1169 68.82 2q21 D2S114 146.86 .67 2.94 2.27
 47 22q13 D22S1169 68.82 11q24 D11S4464 130.43 .62 2.87 2.25

Note.— For each scan marker, the ΔNPL and heterogeneity NPL scores are presented. In addition, the baseline NPL score observed in the one-dimensional genomewide scan is presented.

a

Genomewide locus-heterogeneity evidence was obtained with the use of conditional markers on the specified chromosomes.

b

Determined from the deCODE Genetics sex-averaged map.

Table 9. .

Permutation Analysis of the Top 10 Locus-Heterogeneity ΔNPL Scores

Conditional Locus Scan Locusa Permutation Analysisb
Marker No. of Families with Weightc >0, >1 Marker Baseline NPL Heterogeneity NPL Heterogeneity NPL Exceeded (P) Average NPLd Min. NPLe Max. NPLe SDf
D11S1981 24, 1 D6S477 .5441 3.1911 4 (.0004) .279 −2.2587 3.6576 .8239
D6S1613 36, 6 DXS7108 .0076 2.5962 0 (<.0001) .0026 −2.1758 2.2011 .6125
D11S912 34, 5 D3S4545 −.1400 2.5872 5 (.0005) −.0945 −2.4013 3.1298 .7696
D16S3396 33, 3 D8S1128 .4134 2.9987 4 (.0004) .2493 −2.2675 3.2651 .8035
D21S2052 26, 3 D22S689 .0809 2.6527 1 (.0001) .0538 −1.9114 2.9359 .6929
D13S265 33, 3 D2S1399 .3762 2.9446 96 (.0096) .2359 −2.5743 4.2921 1.0330
D11S1279 28, 1 D9S1122 −.1708 2.5562 1 (.0001) −.1065 −2.4815 2.6951 .7140
D22S1169 31, 1 D2S1334 .7477 3.2931 154 (.0154) .4218 −2.1720 5.4990 .0831
D9S910 36, 4 D1S549 .7892 3.3150 0 (<.0001) .5184 −1.7529 3.1184 .7245
D22S1169 31, 1 D11S1998 −.0844 2.5228 1 (.0001) −.0574 −2.2374 2.6153 .6446
a

Results of the heterogeneity analysis obtained at the scan locus.

b

Results of the permutation analysis.

c

Number of families included in the heterogeneity analysis, with use of weightPROP factors >0 and weightPROP factors >1.

d

Average NPL score observed from the permutation procedure.

e

Minimal (Min.) and maximal (Max.) NPL score observed from the permutation procedure.

f

SD from the average NPL.

Although none of the regions listed in table 7 was implicated twice as a top 10 finding, four appeared to be of particular interest when adjacent markers at both sides were included—the conditional and at the scan locus. All ΔNPL scores belonged hereby to the top 100 heterogeneity findings (see table 8). In detail, the use of negative NPLs as inversely proportional weight at four adjacent STRs on 11p13-p15 increased the linkage evidence at two neighboring markers on chromosome 6p24-p25 (ΔNPL scores >2.27) (see table 8), and the strongest heterogeneity evidence was observed at D6S477 (ΔNPL score of 2.65, heterogeneity NPL score of 3.19, rank 1; P=.0004) (table 7). Five neighboring conditional markers at a second locus on chromosome 11—at 11p12-q13—increased the linkage evidence at four adjacent STRs on 9p21-q21 (ΔNPL scores >2.13) (see table 8), and the best finding was observed for D9S1122 (ΔNPL score of 2.56, heterogeneity NPL score of 2.56, rank 7; P=.0001) (table 7). Interestingly, inversely proportional NPL weights at 13q31 increased the linkage evidence at 2q22-q24, one of our BPAD-interaction regions. The use of two adjacent conditional markers on 13q resulted in ΔNPL scores >2.22 at three neighboring STRs on 2q22-q24 (see table 8), and the strongest ΔNPL score of 2.57 was observed for D2S1399 (heterogeneity NPL score of 2.94, rank 6; P=.0096) (table 7). Evidence of locus heterogeneity was also observed on 8q24. The linkage findings increased at two adjacent markers on 8q when two neighboring STRs on chromosome 16q21 were used as conditional markers (see table 8). The best ΔNPL score of 2.59 was found for D8S1128 (heterogeneity NPL score of 3.00, rank 4; P=.0004) (table 7).

Locus Heterogeneity in BPAD-Interaction Regions

We were particularly interested in the pattern of locus heterogeneity at the identified BPAD-interaction regions. The strongest evidence of locus heterogeneity was observed at 2q22-q24 with the use of 13q31 conditional markers (see above). One other finding belonged to the top 10 results and was supported by adjacent STRs on the scan side. Using D22S1169 on 22q11 as the conditional STR produced ΔNPL scores >2.27 at three markers within the BPAD 2q21-q22 interval (see table 8). The strongest result was observed at D2S1334 (ΔNPL score of 2.55, heterogeneity NPL score of 3.29, rank 8; P=.0154) (table 7). Although there was some further evidence of locus heterogeneity on 2q when markers on 3q29 and 7q35-q36 were used as conditional markers and on 19q13 with use of a 2q STR as a conditional marker (table 8), no other interacting STR—including markers on 6q and 15q—was highlighted by the top 100 heterogeneity findings or by the inclusion of heterogeneity results at adjacent markers.

Discussion

BPAD-Interaction Evidence between Chromosomes 2q22-q24 and 6q23-q24

Whereas chromosome 6q23-q24 already showed linkage evidence within our one-dimensional linkage scan (NPL score of 2.67 at D6S1009) (see table 3 and the work of Schumacher et al.4), chromosome 2q22-q24 showed no linkage evidence within this study (NPL scores 0.23–1.06) (see table 3). This BPAD locus was detectable only by the performance of a two-dimensional linkage scan. With use of a 1-LOD interval, the underlying BPAD gene on 2q is located between 150 and 166 cM (fig. 2A), corresponding to ∼137 and ∼157 Mb, respectively, according to National Center for Biotechnology Information (NCBI) build 36.1. Although this region has not been listed among the confirmed BPAD-linkage regions so far (as reviewed in the work of Craddock and Forty2), evidence of a BPAD gene within this interval comes from independent studies. At 145 Mb, Middleton et al.13 observed the second-best result—NPL score of 3.09—within their genomewide scan of 25 multiplex families with BPAD. At 147 Mb (marker D2S151), Ewald et al.14 found an NPL score of 4.24 in one multiplex family with BPAD, and Fallin et al.15 reported an NPL score of 2.16 in 41 families with BPAD. At 159 Mb (at D2S1353), Cheng et al.16 observed a 2-point LOD score of 2.07 in 154 families with BPAD. In addition, the BPAD genomewide association study by Ophoff et al.17 identified two adjacent three-STR-marker haplotypes starting at 154 Mb, which were associated in 109 patients.

Furthermore, chromosome 6q23-q24 is implicated as harboring a BPAD gene by independent studies (reviewed by Craddock and Forty2). The 1-LOD interval indicates that the BPAD susceptibility locus is located between 131 and 148 cM on chromosome 6 (fig. 2B), corresponding to ∼132 and ∼147 Mb, respectively, according to NCBI build 36.1. Within this region, Venken et al.18 found their second-best linkage result with a multipoint LOD score of 3.25 between 142 and 149 Mb (D6S310 and D6S1654) in nine multiplex families with BPAD. At 137 Mb (marker D6S1009), Ewald et al.19 reported a 2-point LOD score of 2.49 in two multiplex families with BPAD, and Rice et al.20 observed a (moderate) 2-point LOD score of 2.08 in 97 families with BPAD. D6S1009 is the conditional marker that produced the strongest interaction on 2q within our genomewide scan (ΔNPL score 6.94 at D2S1399) (table 3). In addition, the identified region on 6q23-q24 overlaps with the most significant implicated BPAD locus in the linkage meta-analysis by McQueen et al.21 They combined the data sets of 11 individual BPAD-linkage studies and found genomewide significant linkage evidence on chromosome 6q, with a peak LOD score of 4.19 at 108 Mb.

Collectively, the data provide strong evidence of BPAD genes between 137 Mb and 157 Mb on chromosome 2 and between 132 Mb and 147 Mb on chromosome 6, which contribute epistatically to BPAD. According to the RefSeq Genes track (University of California–Santa Cruz [UCSC] Genome Browser), the genomic intervals on chromosomes 2q and 6q contain 32 and 70 known genes, respectively. Although speculative, there are some genes within both regions that act through the same or related pathways. For example, several genes involved in inflammatory processes are located on 2q22-q24 (TNFAIP6 [MIM 600410] and NMI [MIM 603525]) and on 6q23-q24 (TNFAIP3 [MIM 191163], IL20RA [MIM 605620], IL22RA2 [MIM 606648], and IFNGR1 [MIM 107470]). These genes are interesting, since some studies point to an inflammatory pathomechanism in BPAD (reviewed in the work of Liu et al.,22 Kaufman,23 and O’Brien et al.24). In addition, lithium, the medication of first choice for the long-term treatment of BPAD, is known to have inflammation-modulating effects (see the work of Maes et al.,25 Bournat et al.,26 and Nemeth et al.27). However, systematic SNP-based linkage disequilibrium (LD) mapping should lead to the identification of the BPAD genes within both regions. The consideration of the underlying epistasis and the application of conditional LD studies may be crucial for the successful positional cloning of these genes.

BPAD-Interaction Evidence between Chromosomes 2q22-q24 and 15q26

Similar to chromosome 2q22-q24, which has not been listed among the confirmed BPAD-linkage regions so far (see above), chromosome 15q26 has attracted less attention in BPAD. This may reflect the limited power of one-dimensional linkage scans to detect loci that act through epistasis. However, four independent studies that used samples from families affected with BPAD or combined BPAD and schizophrenia reported linkage evidence within the 15q26 interaction region. Defined by the 1-LOD criterion, the present results indicate that the interesting 15q interval is located between 118 cM and the telomere (∼133.7 cM) (fig. 4B), corresponding to 95 Mb and 100.3 Mb, respectively, according to NCBI build 36.1. Within this region, Maziade et al.28 observed a maximized LOD score of 4.55 at 96 Mb (at D15S1014) in 21 multiplex families affected by BPAD and/or schizophrenia. Using the same phenotype definition, Vazza et al.29 found an NPL score of 3.05 in 16 families with BPAD or schizophrenia at the same marker (D15S1014). At D15S642, which was the strongest implicated 15q marker in our interaction scan, Park et al.30 observed a 2-point LOD score of 1.96 in 40 families with BPAD. D15S642 (at 100 Mb) also belongs to one of the 21 markers that showed significant LD in the genomewide BPAD-association study by Ophoff et al.17 In addition, 15q26 is implicated in major depressive disorder (MDD). Holmans et al.31 reported a multipoint LOD score of 3.73 at D15S652 (at 90 Mb) in their first-phase MDD sample of 297 families and confirmed this finding with a multipoint Z likelihood-ratio score of 3.05 between 90 Mb and 93 Mb in their full MDD sample of 656 families with MDD.32

However, since only a moderate proportion of families contributed to our interaction evidence on 2q and 15q and since the observed epistasis between both loci appeared to be less impressive than the interaction seen for 2q and 6q, our 2q-15q BPAD interaction finding should be interpreted more carefully and requires confirmation. It therefore seems premature to discuss whether our interaction findings between 2q22-q24 and 6q23-q24 and between 2q22-q24 and 15q26 point to a multidimensional epistasis involving all three loci. However, in our genomewide scan, we observe a ΔNPL score of 4.53 at D6S1009, using D15S642 as a conditional marker (rank 15) and a ΔNPL score of 4.39 in the vice-versa direction (rank 20) (table 2), which may support the idea of a higher-dimensional epistasis.

Independent Interaction Linkage Studies in BPAD

Two studies that apply interaction linkage analysis to BPAD have been previously published; both used preselected markers. McInnis et al.33 selected five conditional STRs that showed NPL scores between 2.2 and 3.3 in their baseline linkage scan and performed an interaction analysis with 153 families with BPAD-affected sib pairs. They observed linkage increases (ΔNPLs) in the range 1.7–2.7 (interaction NPL scores between 2.3 and 3.1) at five different marker combinations. None of these findings showed ΔNPL scores ⩾2 within our genomewide scan (data not shown), which, together with the level of their interaction evidence, may indicate that their results represent more-moderate epistatic effects. Furthermore, the families in the study of McInnis et al.33 were assigned using the weight1-0 method, whereas we applied the weightPROP method of Cox et al.10 In construction of the weight1-0 family weighting, families are assigned weight 0 if their NPL score at the conditional locus is ⩽0 and weight 1 if their NPL score is >0. In contrast, within the weightPROP method, more-complex family-specific weights proportional to the evidence of linkage at the conditional locus are used, and it has been shown that both weighting methods can lead to different results.10 The second BPAD-interaction study analyzed 18 preselected markers across chromosome 6 in 245 families with affected sib pairs and pointed to an epistatic effect between 6p22 and 6q16-q21.34 Our study design was restricted to the analysis of interchromosomal epistasis only. Although this represents a limitation of our study, we used this design to avoid false-positive results by analyzing STRs, which are on the same chromosome and may therefore segregate dependently.

Locus Heterogeneity in BPAD

Compared with our BPAD-interaction findings, the locus-heterogeneity analysis produced a less consistent picture. Although several of the ΔNPL scores were significant by permutation, inspection of the family-specific data revealed that each of these results was attributable to a small number of families (between 1 and 6 families each). Therefore, these results should be viewed with caution and need further confirmation. However, our findings on chromosomes 2q, 6p, 13q, and 22q showed a more congruent picture of locus heterogeneity, and they have been proposed to harbor BPAD risk genes by independent studies. For example, BDNF (MIM 113505), one of the most implicated candidate genes in BPAD (as reviewed in the work of Craddock and Forty2), is located in our heterogeneity region on 11p13-p15. Furthermore, our STRs on 6p24-p25 represent the closest genomewide scan markers to DTNBP1 (MIM 607145), which also has attracted attention in BPAD.3538 Although speculative, our results may provide evidence that families with BPAD who share no BDNF risk variants at 11p are more susceptible to BPAD risk variants at 6p or DTNBP1. In addition, chromosomal regions 13q31 and 22q13 were both highlighted by one of the linkage meta-analyses applied to BPAD so far39 and by individual linkage studies. Detera-Wadleigh et al.40 and Kelsoe et al.41 observed strong BPAD-linkage evidence on 13q and 22q, which overlap with our findings on both chromosomes. Furthermore, BPAD-linkage evidence on chromosome 13q was reported by Shaw et al.42 Thus, the present study provides evidence that families who share no BPAD risk genes at the linkage loci 13q and 22q could be more susceptible to BPAD risk genes on 2q22-q24, which represents a BPAD-linkage region as well (see above). Convincing linkage evidence has been independently reported for some of the other BPAD heterogeneity regions—for example, for chromosome 8q24 (as reviewed in the work of Craddock and Forty2). However, the corresponding conditional or scan regions have not attracted attention to BPAD so far. Although this does not necessarily exclude them as heterogeneity loci, the probability for a true-positive finding might be higher when independent studies have already reported BPAD linkage at both sides—the conditional and the scan region.

Conclusions and Outlook

Our study represents the first systematic genomewide interaction and locus-heterogeneity analysis applied to BPAD. With use of this approach, chromosome 2q22-q24, which showed no linkage evidence in our one-dimensional linkage scan, has been strongly implicated as harboring a BPAD gene, which interacts epistatically with a second risk locus on 6q23-q24. Although multidimensional linkage scans involve multiple testing, making it crucial to control the overall type I error (e.g., see the work of Frankel and Schork43), we suppose that the 2q-6q interaction represents a true-positive finding. This is implicated by the strength of interaction evidence (NPL scores 7.55 on 2q and 7.63 on 6q), the results through 10,000 permutations (P<.0001 and P=.0001, respectively), and the fact that a high proportion of our families contribute to this interaction. In addition, both loci have been implicated independently in BPAD, and it seems rather unlikely to find by chance evidence of a BPAD epistasis between both regions when applying a systematic interaction approach.

Several studies propose that the consideration of gene-gene interaction at the association level offers great potential in the identification of risk genes for complex disorders (e.g., the work of Carlson et al.44 and Lin et al.45). However, in the absence of established risk genes, only hypothesis-free genomewide interaction linkage data can provide systematic insights into the framework of epistasis. This is the strength of interaction linkage scans, which could be of importance in forthcoming genomewide association studies. The loci identified through interaction linkage scans should lead to more-comprehensive strategies in the analysis of genomewide LD data, and the application of conditional LD analyses may facilitate the identification of the underlying risk and interacting genes.

Acknowledgments

We are grateful to the patients and their families for their cooperation and blood samples. This study was supported by Deutsche Forschungsgemeinschaft (DFG) grant numbers SFB 400 and GRK 246 and the National Genomic Network of the Bundeministerium für Bildung und Forschung (to P.P., T.F.W., and M.R.). The collection of families from Bulgaria was supported by the National Science Fund. J.S. is a research fellow of the National Institutes of Health/DFG Research Career Transition Awards Program. M.M.N. received support for this work from the Alfried Krupp von Bohlen und Halbach-Stiftung. R.K. was a research fellow of the Alexander von Humboldt Foundation. We thank Francis J. McMahon, for helpful comments and criticisms during the preparation of the manuscript, and Michael Cabanero, for English revisions of this manuscript.

Web Resources

The URLs for data presented herein are as follows:

  1. deCODE Genetics, http://www.decode.com (for information about the genetic map)
  2. Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, http://mendel.meb.uni-bonn.de/~rfuerst/supplementary/ (for statistical programs used in the present study)
  3. NCBI, http://www.ncbi.nlm.nih.gov/ (for information about BPAD and the candidate genes)
  4. Online Mendelian Inheritance in Man (OMIM), http://www.ncbi.nlm.nih.gov/Omim/ (for BPAD, TNFAIP6, NMI, TNFAIP3, IL20RA, IL22RA2, IFNGR1, BDNF, and DTNBP1)
  5. UCSC Genome Browser, http://genome.ucsc.edu/ (for information about the marker positions and RefSeq Genes track)
  6. World Health Organization, http://www.who.int/whr/2002/whr2002_annex3.pdf (for World Health Report 2002)

References

  • 1.Craddock N, Jones I (1999) Genetics of bipolar disorder. J Med Genet 36:585–594 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Craddock N, Forty L (2006) Genetics of affective (mood) disorders. Eur J Hum Genet 14:660–668 10.1038/sj.ejhg.5201549 [DOI] [PubMed] [Google Scholar]
  • 3.Segurado R, Detera-Wadleigh SD, Levinson DF, Lewis CM, Gill M, Nurnberger JI, Craddock N, DePaulo JR, Baron M, Gershon ES, et al (2003) Genome scan meta-analysis of schizophrenia and bipolar disorder, part III: bipolar disorder. Am J Hum Genet 73:49–62 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Schumacher J, Kaneva R, Jamra RA, Diaz GO, Ohlraun S, Milanova V, Lee YA, Rivas F, Mayoral F, Fuerst R, et al (2005) Genomewide scan and fine-mapping linkage studies in four European samples with bipolar affective disorder suggest a new susceptibility locus on chromosome 1p35-p36 and provides further evidence of loci on chromosome 4q31 and 6q24. Am J Hum Genet 77:1102–1111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.American Psychiatric Association (1994) DSM-IV: diagnostic and statistical manual of mental disorders, 4th ed. American Psychiatric Association, Washington, DC [Google Scholar]
  • 6.Lee YA, Rüschendorf F, Windemuth C, Schmitt-Egenolf M, Stadelmann A, Nürnberg G, Stander M, Wienker TF, Reis A, Traupe H (2000) Genomewide scan in German families reveals evidence for a novel psoriasis-susceptibility locus on chromosome 19p13. Am J Hum Genet 67:1020–1024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bjornsson A, Gudmundsson G, Gudfinnsson E, Hrafnsdottir M, Benedikz J, Skuladottir S, Kristjansson K, Frigge ML, Kong A, Stefansson K, et al (2003) Localization of a gene for migraine without aura to chromosome 4q21. Am J Hum Genet 73:986–993 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Cichon S, Schumacher J, Müller DJ, Hürter M, Windemuth C, Strauch K, Hemmer S, Schulze TG, Schmidt-Wolf G, Albus M, et al (2001) A genome screen for genes predisposing to bipolar affective disorder detects a new susceptibility locus on 8q. Hum Mol Genet 10:2933–2944 10.1093/hmg/10.25.2933 [DOI] [PubMed] [Google Scholar]
  • 9.Kong A, Cox NJ (1997) Allele-sharing models: LOD scores and accurate linkage tests. Am J Hum Genet 61:1179–1188 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Cox NJ, Frigge M, Nicolae DL, Concannon P, Hanis CL, Bell GI, Kong A (1999) Loci on chromosomes 2 (NIDDM1) and 15 interact to increase susceptibility to diabetes in Mexican Americans. Nat Genet 21:213–215 10.1038/6002 [DOI] [PubMed] [Google Scholar]
  • 11.Gudbjartsson DF, Thorvaldsson T, Kong A, Gunnarsson G, Ingolfsdottir A (2005) Allegro version 2. Nat Genet 37:1015–1016 10.1038/ng1005-1015 [DOI] [PubMed] [Google Scholar]
  • 12.Benson G (1999) Tandem repeats finder: a program to analyze DNA sequences. Nucleic Acids Res 27:573–580 10.1093/nar/27.2.573 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Middleton FA, Pato MT, Gentile KL, Morley CP, Zhao X, Eisener AF, Brown A, Petryshen TL, Kirby AN, Medeiros H, et al (2004) Genomewide linkage analysis of bipolar disorder by use of a high-density single-nucleotide-polymorphism (SNP) genotyping assay: a comparison with microsatellite marker assays and finding of significant linkage to chromosome 6q22. Am J Hum Genet 74:886–897 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ewald H, Kruse TA, Mors O (2003) Genome wide scan using homozygosity mapping and linkage analyses of a single pedigree with affective disorder suggests oligogenic inheritance. Am J Med Genet B Neuropsychiatr Genet 120:63–71 10.1002/ajmg.b.20039 [DOI] [PubMed] [Google Scholar]
  • 15.Fallin MD, Lasseter VK, Wolyniec PS, McGrath JA, Nestadt G, Valle D, Liang KY, Pulver AE (2004) Genomewide linkage scan for bipolar-disorder susceptibility loci among Ashkenazi Jewish families. Am J Hum Genet 75:204–219 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Cheng R, Juo SH, Loth JE, Nee J, Iossifov I, Blumenthal R, Sharpe L, Kanyas K, Lerer B, Lilliston B, et al (2006) Genome-wide linkage scan in a large bipolar disorder sample from the National Institute of Mental Health genetics initiative suggests putative loci for bipolar disorder, psychosis, suicide, and panic disorder. Mol Psychiatry 11:252–260 10.1038/sj.mp.4001778 [DOI] [PubMed] [Google Scholar]
  • 17.Ophoff RA, Escamilla MA, Service SK, Spesny M, Meshi DB, Poon W, Molina J, Fournier E, Gallegos A, Mathews C, et al (2002) Genomewide linkage disequilibrium mapping of severe bipolar disorder in a population isolate. Am J Hum Genet 71:565–574 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Venken T, Claes S, Sluijs S, Paterson AD, van Duijn C, Adolfsson R, Del-Favero J, Van Broeckhoven C (2005) Genomewide scan for affective disorder susceptibility loci in families of a northern Swedish isolated population. Am J Hum Genet 76:237–248 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Ewald H, Flint T, Kruse TA, Mors O (2002) A genome-wide scan shows significant linkage between bipolar disorder and chromosome 12q24.3 and suggestive linkage to chromosomes 1p22-21, 4p16, 6q14-22, 10q26 and 16p13.3. Mol Psychiatry 7:734–744 10.1038/sj.mp.4001074 [DOI] [PubMed] [Google Scholar]
  • 20.Rice JP, Goate A, Williams JT, Bierut L, Dorr D, Wu W, Shears S, Gopalakrishnan G, Edenberg HJ, Foroud T, et al (1997) Initial genome scan of the NIMH genetics initiative bipolar pedigrees: chromosomes 1, 6, 8, 10, and 12. Am J Med Genet 74:247–253 [DOI] [PubMed] [Google Scholar]
  • 21.McQueen MB, Devlin B, Faraone SV, Nimgaonkar VL, Sklar P, Smoller JW, Abou Jamra R, Albus M, Bacanu SA, Baron M, et al (2005) Combined analysis from eleven linkage studies of bipolar disorder provides strong evidence of susceptibility loci on chromosomes 6q and 8q. Am J Hum Genet 77:582–595 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Liu HC, Yang YY, Chou YM, Chen KP, Shen WW, Leu SJ (2004) Immunologic variables in acute mania of bipolar disorder. J Neuroimmunol 150:116–122 10.1016/j.jneuroim.2004.01.006 [DOI] [PubMed] [Google Scholar]
  • 23.Kaufman KR (2005) Etanercept, anticytokines and mania. Int Clin Psychopharmacol 20:239–241 10.1097/00004850-200507000-00008 [DOI] [PubMed] [Google Scholar]
  • 24.O’Brien SM, Scully P, Scott LV, Dinan TG (2006) Cytokine profiles in bipolar affective disorder: focus on acutely ill patients. J Affect Disord 90:263–267 10.1016/j.jad.2005.11.015 [DOI] [PubMed] [Google Scholar]
  • 25.Maes M, Song C, Lin AH, Pioli R, Kenis G, Kubera M, Bosmans E (1999) In vitro immunoregulatory effects of lithium in healthy volunteers. Psychopharmacology 143:401–407 10.1007/s002130050965 [DOI] [PubMed] [Google Scholar]
  • 26.Bournat JC, Brown AM, Soler AP (2000) Wnt-1 dependent activation of the survival factor NF-kappaB in PC12 cells. J Neurosci Res 61:21–32 [DOI] [PubMed] [Google Scholar]
  • 27.Nemeth ZH, Deitch EA, Szabo C, Fekete Z, Hauser CJ, Hasko G (2002) Lithium induces NF-kappa B activation and interleukin-8 production in human intestinal epithelial cells. J Biol Chem 277:7713–7719 10.1074/jbc.M109711200 [DOI] [PubMed] [Google Scholar]
  • 28.Maziade M, Roy MA, Chagnon YC, Cliche D, Fournier JP, Montgrain N, Dion C, Lavallee JC, Garneau Y, Gingras N, et al (2005) Shared and specific susceptibility loci for schizophrenia and bipolar disorder: a dense genome scan in Eastern Quebec families. Mol Psychiatry 10:486–499 10.1038/sj.mp.4001594 [DOI] [PubMed] [Google Scholar]
  • 29.Vazza G, Bertolin C, Scudellaro E, Vettori A, Boaretto F, Rampinelli S, De Sanctis G, Perini G, Peruzzi P, Mostacciuolo ML (2007) Genome-wide scan supports the existence of a susceptibility locus for schizophrenia and bipolar disorder on chromosome 15q26. Mol Psychiatry 12:87–93 10.1038/sj.mp.4001895 [DOI] [PubMed] [Google Scholar]
  • 30.Park N, Juo SH, Cheng R, Liu J, Loth JE, Lilliston B, Nee J, Grunn A, Kanyas K, Lerer B, et al (2004) Linkage analysis of psychosis in bipolar pedigrees suggests novel putative loci for bipolar disorder and shared susceptibility with schizophrenia. Mol Psychiatry 9:1091–1099 10.1038/sj.mp.4001541 [DOI] [PubMed] [Google Scholar]
  • 31.Holmans P, Zubenko GS, Crowe RR, DePaulo JR Jr, Scheftner WA, Weissman MM, Zubenko WN, Boutelle S, Murphy-Eberenz K, MacKinnon D, et al (2004) Genomewide significant linkage to recurrent, early-onset major depressive disorder on chromosome 15q. Am J Hum Genet 74:1154–1167 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Holmans P, Weissman MM, Zubenko GS, Scheftner WA, Crowe RR, Depaulo JR Jr, Knowles JA, Zubenko WN, Murphy-Eberenz K, Marta DH, et al (2007) Genetics of recurrent early-onset major depression (GenRED): final genome scan report. Am J Psychiatry 164:248–258 10.1176/appi.ajp.164.2.248 [DOI] [PubMed] [Google Scholar]
  • 33.McInnis MG, Dick DM, Willour VL, Avramopoulos D, MacKinnon DF, Simpson SG, Potash JB, Edenberg HJ, Bowman ES, McMahon FJ, et al (2003) Genome-wide scan and conditional analysis in bipolar disorder: evidence for genomic interaction in the National Institute of Mental Health genetics initiative bipolar pedigrees. Biol Psychiatry 54:1265–1273 10.1016/j.biopsych.2003.08.001 [DOI] [PubMed] [Google Scholar]
  • 34.Schulze TG, Buervenich S, Badner JA, Steele CJ, Detera-Wadleigh SD, Dick D, Foroud T, Cox NJ, MacKinnon DF, Potash JB, et al (2004) Loci on chromosomes 6q and 6p interact to increase susceptibility to bipolar affective disorder in the national institute of mental health genetics initiative pedigrees. Biol Psychiatry 56:18–23 10.1016/j.biopsych.2004.04.004 [DOI] [PubMed] [Google Scholar]
  • 35.Raybould R, Green EK, MacGregor S, Gordon-Smith K, Heron J, Hyde S, Caesar S, Nikolov I, Williams N, Jones L, et al (2005) Bipolar disorder and polymorphisms in the dysbindin gene (DTNBP1). Biol Psychiatry 57:696–701 10.1016/j.biopsych.2005.01.018 [DOI] [PubMed] [Google Scholar]
  • 36.Breen G, Prata D, Osborne S, Munro J, Sinclair M, Li T, Staddon S, Dempster D, Sainz R, Arroyo B, et al (2006) Association of the dysbindin gene with bipolar affective disorder. Am J Psychiatry 163:1636–1638 10.1176/appi.ajp.163.9.1636 [DOI] [PubMed] [Google Scholar]
  • 37.Pae CU, Serretti A, Mandelli L, Yu HS, Patkar AA, Lee CU, Lee SJ, Jun TY, Lee C, Paik IH, et al (2007) Effect of 5-haplotype of dysbindin gene (DTNBP1) polymorphisms for the susceptibility to bipolar I disorder. Am J Med Genet 144:701–703 10.1002/ajmg.b.30439 [DOI] [PubMed] [Google Scholar]
  • 38.Joo EJ, Lee KY, Jeong SH, Chang JS, Ahn YM, Koo YJ, Kim YS (2007) Dysbindin gene variants are associated with bipolar I disorder in a Korean population. Neurosci Lett 418:272–275 10.1016/j.neulet.2007.03.037 [DOI] [PubMed] [Google Scholar]
  • 39.Badner JA, Gershon ES (2002) Meta-analysis of whole-genome linkage scans of bipolar disorder and schizophrenia. Mol Psychiatry 7:405–411 10.1038/sj.mp.4001012 [DOI] [PubMed] [Google Scholar]
  • 40.Detera-Wadleigh SD, Badner JA, Berrettini WH, Yoshikawa T, Goldin LR, Turner G, Rollins DY, Moses T, Sanders AR, Karkera JD, et al (1999) A high-density genome scan detects evidence for a bipolar-disorder susceptibility locus on 13q32 and other potential loci on 1q32 and 18p11.2. Proc Natl Acad Sci USA 96:5604–5609 10.1073/pnas.96.10.5604 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Kelsoe JR, Spence MA, Loetscher E, Foguet M, Sadovnick AD, Remick RA, Flodman P, Khristich J, Mroczkowski-Parker Z, Brown JL, et al (2001) A genome survey indicates a possible susceptibility locus for bipolar disorder on chromosome 22. Proc Natl Acad Sci USA 98:585–590 10.1073/pnas.011358498 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Shaw SH, Mroczkowski-Parker Z, Shekhtman T, Alexander M, Remick RA, Sadovnick AD, McElroy SL, Keck PE Jr, Kelsoe JR (2003) Linkage of a bipolar disorder susceptibility locus to human chromosome 13q32 in a new pedigree series. Mol Psychiatry 8:558–564 10.1038/sj.mp.4001267 [DOI] [PubMed] [Google Scholar]
  • 43.Frankel WN, Schork NJ (1996) Who’s afraid of epistasis? Nat Genet 14:371–373 10.1038/ng1296-371 [DOI] [PubMed] [Google Scholar]
  • 44.Carlson CS, Eberle MA, Kruglyak L, Nickerson DA (2004) Mapping complex disease loci in whole-genome association studies. Nature 429:446–452 10.1038/nature02623 [DOI] [PubMed] [Google Scholar]
  • 45.Lin PI, Vance JM, Pericak-Vance MA, Martin ER (2007) No gene is an island: the flip-flop phenomenon. Am J Hum Genet 80:531–538 [DOI] [PMC free article] [PubMed] [Google Scholar]

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