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. 2010 Jul 13;11(4):449–455. doi: 10.1007/s10048-010-0250-9

Efficient identification of novel mutations in patients with limb girdle muscular dystrophy

Steven E Boyden 1,2, Mustafa A Salih 3, Anna R Duncan 1, Alexander J White 1, Elicia A Estrella 1, Stephanie L Burgess 1, Mohammed Z Seidahmed 4, Abdullah S Al-Jarallah 5, Hisham M S Alkhalidi 6, Waleed M Al-Maneea 4, Richard R Bennett 1, Salem H Alshemmari 7, Louis M Kunkel 1,2,8,9, Peter B Kang 1,10,
PMCID: PMC2944962  PMID: 20623375

Abstract

Limb girdle muscular dystrophy type 2 (LGMD2) is a genetically heterogeneous autosomal recessive disorder caused by mutations in 15 known genes. DNA sequencing of all candidate genes can be expensive and laborious, whereas a selective sequencing approach often fails to provide a molecular diagnosis. We aimed to efficiently identify pathogenic mutations via homozygosity mapping in a population in which the genetics of LGMD2 has not been well characterized. Thirteen consanguineous families containing a proband with LGMD2 were recruited from Saudi Arabia, and for 11 of these families, selected individuals were genotyped at 10,204 single nucleotide polymorphisms. Linkage analysis excluded all but one or two known genes in ten of 11 genotyped families, and haplotype comparisons between families allowed further reduction in the number of candidate genes that were screened. Mutations were identified by DNA sequencing in all 13 families, including five novel mutations in four genes, by sequencing at most two genes per family. One family was reclassified as having a different myopathy based on genetic and clinical data after linkage analysis excluded all known LGMD2 genes. LGMD2 subtypes A and B were notably absent from our sample of patients, indicating that the distribution of LGMD2 mutations in Saudi Arabian families may be different than in other populations. Our data demonstrate that homozygosity mapping in consanguineous pedigrees offers a more efficient means of discovering mutations that cause heterogeneous disorders than comprehensive sequencing of known candidate genes.

Electronic supplementary material

The online version of this article (doi:10.1007/s10048-010-0250-9) contains supplementary material, which is available to authorized users.

Keywords: Limb girdle muscular dystrophy, Mutations, Linkage analysis, Homozygosity mapping, Consanguineous, Saudi Arabian

Introduction

Limb girdle muscular dystrophies are a heterogeneous group of disorders, with the autosomal recessive type 2 (LGMD2) caused by mutations in at least 15 genes [1, 2]. Characterization of the mutational spectrum of a disease in diverse populations is necessary to understand its pathogenesis and epidemiology. The frequencies of different LGMD2 subtypes and mutations vary considerably by population [1], but to our knowledge, the genetic profile of LGMD2 in Saudi Arabian patients has not been previously described. However, it can be costly and time consuming to screen all known LGMD2 genes (TTN alone has at least 312 exons), and screening only the seven most commonly mutated genes can fail to yield a mutation in approximately 30–40% of patients [3, 4].

Homozygosity mapping is an effective technique for localizing rare recessive mutations, as consanguineous pedigrees provide disproportionately high power for linkage analysis relative to the number of individuals genotyped [5]. In addition, high-density microarrays that assay thousands of single nucleotide polymorphisms (SNPs) allow a more informative and inexpensive genomewide linkage scan than conventional microsatellite panels [6]. We hypothesized it would be cost effective to focus the discovery of pathogenic LGMD2 mutations by performing SNP-based linkage analysis on consanguineous families, including those insufficiently informative to achieve suggestive or significant LOD scores. Here, we report the discovery of five novel mutations in four genes via homozygosity mapping in 11 Saudi Arabian families, accomplished at a fraction of the cost required to sequence all 15 LGMD2 genes.

Materials and methods

Thirteen families of Saudi Arabian descent in which patients appeared to be affected with LGMD2 were recruited via King Khalid University Hospital and Security Forces Hospital, Riyadh, Saudi Arabia. Written informed consent was obtained for all subjects, and de-identified genomic DNA samples were transferred to Children’s Hospital Boston, in accordance with the Institutional Review Boards of the above institutions. The presumed diagnosis of LGMD2 was made on the basis of clinical presentation, serum creatine kinase levels, and muscle biopsy findings (including immunohistochemistry when available), as summarized in Table 1.

Table 1.

Clinical presentation of 13 families with autosomal recessive muscular dystrophy or myopathy

Family Age of onset First symptoms Age at loss of ambulation (years) Calf pseudohypertrophy Creatine kinase (U/L) Cardiac involvement Pulmonary involvement Immunohistochemistry Molecular diagnosis
1186 15 months–4 years Frequent falling, fatigue in playing Ambulant at 9–17 Yes 3,861–16,876 None None SGCs α, β, δ neg; γ pos LGMD2D
1187 9 months–8 years Frequent falling, delayed walking 15, ambulant at 5–18 Yes 2,214–11,065 Dilated cardio-myopathy, none None SGCs α, β, δ pos; γ weak LGMD2I
1188 1–6 years Frequent falling, difficulty rising and running 9, ambulant at 8 Yes 2,698–6,296 None None SGCs α, β, γ pos LGMD2I
1189 1 year Frequent falling 10 Yes, slight 2,294 None None Not done LGMD2I
1190 1–5 years Frequent falling, difficulty walking, abnormal gait 12, ambulant at 9 Yes 2,453–13,770 Dilated left ventricle, none Bronchial asthma SGC α neg LGMD2F
1191 4 years Frequent falling, difficulty rising 13 Yes Elevated None None SGCs α, β neg; δ, γ weak LGMD2D
1223 8–9 months Crawling with head down, delayed walking 13, ambulant at 9 No 87–147 None Tracheostomy at 9, none SGC α pos CMD/MmD
1224 6 years Tip-toe walking Ambulant at 11 Yes, slight 7,860 Mild mitral regurgitation None SGCs α, β, γ neg LGMD2D
1225 4 years Difficulty running 14 Yes 4,265 None Bronchial asthma SGCs α, β, δ pos; γ neg LGMD2C
1226 1 year Frequent falling, tip-toe walking 8 following heel cord surgery No 4,268 None Difficulty in sleep, breathing SGCs α, β, γ neg LGMD2E
1227 2 years Abnormal walking Ambulant at 8 Yes 10,000 None None SGCs α, β, δ, γ pos LGMD2I
1228 1 year Delayed walking, tip-toe walking 9 Yes 11,580 None None SGCs β, γ neg LGMD2E
1229 2 years Frequent falling, delayed walking 7, 8, ambulant at 5 Yes 664–19,487 Dilated cardio-myopathy, none None SGCs α, β, γ neg LGMD2E

Multiple entries or ranges of values encompass multiple affected individuals. Reference ranges for normal creatine kinase levels varied by age and testing laboratory, but all fell within the range 140–239 U/L. All tested patients had a proximal pattern of weakness, were positive for Gowers’ sign (if ambulatory), had dystrophic muscle tissue, and stained positive for dystrophin on immunohistochemistry

LGMD2 limb girdle muscular dystrophy type 2, CMD congenital muscular dystrophy, MmD multiminicore disease, SGC sarcoglycan, pos positive, neg negative

Samples from 11 families were genotyped at 10,204 SNPs using the GeneChip Human Mapping 10K 2.0 Array (Affymetrix). To minimize costs, we genotyped primarily affected individuals, with unaffected subjects genotyped as needed (Fig. 1). Genomewide multipoint parametric linkage scans were performed using MERLIN v1.1.2 [7]. The disease allele frequency was set to 0.0001, and we used a full penetrance, zero phenocopy model. Marker map positions and Caucasian allele frequencies were provided by Affymetrix. The error checking and Pedwipe functions of MERLIN were used to remove unlikely genotypes. Based on results from families 1186–1191, families 1223–1229 were screened for mutations in SGCA (also known as adhalin) and FKRP prior to 10K genotyping; two families (1224 and 1227) in which mutations were identified were therefore not genotyped. Amplification of candidate gene exons and splice junctions by polymerase chain reaction (PCR) and sequencing of purified products were performed by standard protocols, and sequence data were analyzed using Sequencher v4.8 (Gene Codes) and SeqScape v2.5 (Applied Biosystems). Mutations were genotyped in DNA samples from unrelated control subjects using Custom TaqMan SNP Genotyping Assays (Applied Biosystems). Multi-species sequence alignments were performed in ClustalW [8], and the impact of amino acid substitutions on protein function was predicted by PolyPhen [9].

Fig. 1.

Fig. 1

Pedigrees of 13 families with autosomal recessive muscular dystrophy or myopathy. Squares males, circles females, filled symbols affected individuals, partially black-filled symbols obligate heterozygous carriers, partially gray-filled symbols possible heterozygous carriers, open symbols unaffected individuals. Double bars represent consanguineous unions. Asterisks denote individuals genotyped for genomewide linkage analysis

Results

The clinical presentations and laboratory results were generally typical of LGMD2, except in the case of family 1223, in which creatine kinase levels were not elevated and calf pseudohypertrophy was absent (Table 1). The kindreds 1186–1191 and 1223–1229 were consanguineous and displayed autosomal recessive inheritance (Fig. 1). Mutations were identified in all 13 families, and for the 11 genotyped families, the mutations were in genes implicated by homozygosity mapping (Table 2). Five families produced one or more linkage peaks that together contained a single known LGMD2 gene, including one family (1225) with a maximum LOD score of 1.8 in which we genotyped only two affected siblings. Four families generated linkage peaks containing two known LGMD2 genes, including a family (1228) with a maximum LOD score of 1.2 in which only a single affected individual was genotyped. For three families in which two linked genes resided in different intervals, the LOD score was appreciably higher for the peak containing the gene in which a mutation was found. In family 1191, two linked genes in a single interval, SGCA and TCAP, were both sequenced and TCAP was negative for mutations.

Table 2.

Results of linkage analysis and mutation screening

Family Samples genotyped Linked known genes Maximum possible LOD score Maximum actual LOD scores Gene with mutation Mutation Amino acid substitution Novel? Controls genotyped
1186 5 SGCA 4.941 4.940 SGCA c.101G>A p.R34H No NA
1187 4 FKRP 2.533 2.533 FKRP c.941C>T p.T314M Yes 379
1188 4 FKRP, POMT1 3.135 3.132, 2.240 FKRP c.1012G>T p.V338L Yes 368
1189 5 FKRP 4.038 4.038 FKRP c.941C>T p.T314M Yesa (379 above)
1190 4 SGCD 2.533 2.533 SGCD c.97C>T p.R33X Yes NA
1191 4 SGCA, TCAP 1.579 1.578 SGCA c.584+5G>A NA Yes 491
1223 8 SEPN1 1.829 1.828 SEPN1 c.467T>C p.L156P Yes 375
1224 0 NA NA NA SGCA c.101G>A p.R34H No NA
1225 2 SGCG 1.806 1.804 SGCG c.525del p.F175LfsX20 No NA
1226 1 SGCB, SGCA, TCAP, DYSF 1.204 1.204, 1.162, 0.607 SGCB c.541_551del p.S181X No NA
1227 0 NA NA NA FKRP c.941C>T p.T314M Yesa (379 above)
1228 1 SGCB, SGCG 1.204 1.202, 0.662 SGCB c.541_551del p.S181X No NA
1229 3 SGCB, POMT1 2.408 2.408, 1.359 SGCB c.541_551del p.S181X No NA

LOD scores for each family are reported only for genomic intervals containing linked known genes, and are listed in the same order as those genes. A single interval contained both SGCA and TCAP in families 1191 and 1226. All mutations were homozygous in affected individuals, heterozygous in obligate carriers, and absent from all genotyped controls. Mutations were detected in DNA; predicted mutations in protein sequence were inferred

NA not applicable

aAn additional occurrence of a novel mutation reported herein

Family 1226 showed linkage at four known LGMD2 genes, but families 1226, 1228, and 1229 shared a haplotype in common across a portion of their linkage peaks containing SGCB (Online Resource 1), allowing us to correctly predict that all three families carried the same ancestral mutation in SGCB and thus avoid sequencing the other five total candidate genes. Two genotyped families with the c.941C>T (p.T314M) mutation in FKRP also shared an identical haplotype across FKRP (data not shown), again implying that these families inherited their mutation from a common ancestor. A third, ungenotyped family carried this novel mutation as well, suggesting that c.941C>T may be a founder mutation in Saudi Arabia.

In the 11th genotyped family, 1223, preliminary linkage results from a single affected individual produced intervals containing CAPN3 and DYSF. The proband was homozygous for a mutation in DYSF, c.6062G>A (p.R2021Q), previously reported (as p.R2000Q) to be compound heterozygous in conjunction with a nonsense mutation in a family with Miyoshi myopathy [10]. However, c.6062G>A was homozygous in a confirmed unaffected sibling in family 1223 and was heterozygous in three of 368 unrelated Kuwaiti control subjects, indicating either that this variant is a benign polymorphism or is only pathogenic when combined with a more severe mutation. Genomewide genotyping of additional family 1223 members excluded both CAPN3 and DYSF by linkage, but a linked interval on chromosome 1 contained the gene SEPN1, in which mutations cause several muscle diseases, including congenital muscular dystrophy (CMD) and multiminicore disease (MmD) [11, 12]. Though affected members of family 1223 showed the typical pattern of weakness for LGMD, careful review of their clinical data also revealed scoliosis, respiratory difficulty treated by tracheostomy, and focal areas of myofibrillar disorganization and Z-band streaming in biopsy tissue, consistent with a diagnosis of CMD or MmD. We identified two novel homozygous missense variants in SEPN1 that segregated with the disease: c.467T>C (p.L156P) and c.1654G>A (p.E552K). However, the c.1654G>A variant was heterozygous in eight of 374 unrelated Kuwaiti controls, the p.E552 residue was not completely conserved (Online Resource 2), and the p.E552K substitution was predicted to be less detrimental by PolyPhen than p.L156P (data not shown). Together, these data strongly suggest that c.1654G>A is an uncommon polymorphism and c.467T>C (p.L156P) is the pathogenic mutation in family 1223.

Finally, mutations in two commonly mutated genes (SGCA and FKRP) were found in two additional families that were not subjected to linkage analysis. In total, we identified eight pathogenic mutations in six genes in 13 families, of which five mutations in four genes were novel, while three mutations were previously reported [1315]. The three novel missense mutations were absent from at least 368 Kuwaiti control DNA samples, and the novel splice site mutation was absent from 386 Kuwaiti controls and 105 Southeastern European controls. All four novel pathogenic missense or splice mutations were completely conserved in all vertebrate species analyzed (Online Resource 2).

Discussion

We conducted, to our knowledge, the first genetic characterization of LGMD in a Saudi Arabian population. Seven cases of Miyoshi myopathy from Saudi Arabia have been described clinically, and though mutations were not identified in these patients [16], mutations in DYSF have since been shown to cause both Miyoshi myopathy and LGMD2B [17]. In our study, homozygosity mapping via linkage analysis was used to efficiently identify five novel and three known mutations in five commonly mutated LGMD2 genes (SGCA, SGCB, SGCD, SGCG, and FKRP) and a congenital myopathy gene (SEPN1). Multiple alternatives to linkage analysis are frequently used for homozygosity mapping [2, 18, 19], usually because they are technically simpler or computationally faster than a linkage scan, especially with very large pedigrees or exceptionally dense marker panels [20]. However, for a trait for which many genes have been previously identified, the probability that any particular family will contain a mutation in a known gene is high, so in this scenario, it is likely more cost effective for pedigrees with known consanguinity to limit genotyping to only a select few informative individuals on the most inexpensive SNP-based platforms. Our study confirms that under these conditions, homozygosity mapping can be readily accomplished by standard parametric linkage analysis [21], which has the benefits over other methods of distinguishing blocks of autozygosity from blocks of uninformative markers (which are not uncommon on high density SNP arrays) when parents and/or unaffected siblings are genotyped, as well as providing a measure of the statistical significance of linkage peaks interpretable by conventional standards.

We further highlight the utility of linkage analysis as a screening method even in families of marginal informativity. Nine of 11 genotyped families produced maximum LOD scores below the threshold of 3.3 for significant genomewide linkage, and five of those families fell below the threshold of 1.9 for suggestive linkage [22]. Nevertheless, linkage analysis excluded at least 13 of the 15 known genes in nine of ten families with LGMD2, and the LOD scores favored a specific gene in four of five families in which multiple known genes were linked. Comparison of haplotype data in linkage peaks shared among families further improved the power of our analyses by identifying families with evidence of carrying the same mutation inherited from a common ancestor. Accordingly, a mutation was identified in nine of ten genotyped LGMD2 families by sequencing a single gene; we thereby saved considerably on time and sequencing costs by conducting linkage scans.

Surprisingly, none of the families showed linkage to CAPN3 or DYSF, though they are the two most commonly mutated genes among LGMD2 patients in some populations [3, 4, 23], suggesting that LGMD2 subtypes A and B may be less common in Saudi Arabia than elsewhere. Since both CAPN3 and DYSF require at least 30 amplicons to sequence their exons, the cost of PCR and bidirectional Sanger sequencing of either one in a single patient exceeds the cost of processing one 10K SNP array ($280 at Children’s Hospital Boston), further illustrating the economy of our approach. Moreover, the exclusion of all 15 known LGMD2 genes in family 1223 and the subsequent discovery of mutations in the myopathy gene SEPN1 demonstrate the application of linkage analysis to assist in resolving ambiguous clinical diagnoses, which may help account for the high failure rate when searching for mutations by sequencing alone.

Another alternative to comprehensive sequencing is to attempt molecular diagnosis by protein analysis, as six of the seven most commonly mutated LGMD2 genes (CAPN3, DYSF, SGCA, SGCB, SGCD, and SGCG) encode proteins that are absent or severely reduced by immunoblot or immunohistochemistry in the corresponding LGMD2 subtypes [4]. While this strategy depends on the availability of well-preserved biopsy tissue, it may be inexpensive and effective in some cases and thus advantageous for non-consanguineous families or sporadic patients. However, protein-based diagnostic testing can be time consuming and laborious, require separate optimization of conditions for each test, or lead to ambiguous findings, as when a single missing sarcoglycan subunit causes disruption of other subunits. Like Sanger sequencing, protein assays involve individual testing of each hypothesis, and the frequency with which a particular test will succeed in identifying the molecular defect depends on the LGMD2 subtype distribution in the population. For infrequently studied populations, the distribution may be unknown or unusual, and for patients in which protein tests are unsuccessful, genetic analyses may then be necessary, possibly negating any initial cost savings.

By contrast, genomewide homozygosity mapping offers a single, unbiased, simultaneous test of all possible loci, and in cases where the most obvious candidate genes are excluded, linkage data can direct attention to novel genes or genes associated with similar phenotypes. While homozygosity mapping is most effective in families known to be consanguineous, it can also be applied successfully to outbred populations when higher density SNP arrays are used [24]. Homozygosity mapping may therefore provide a faster and less expensive approach to molecular diagnosis of genetically heterogeneous traits in many families than comprehensive screening of candidate genes by traditional sequencing methods.

Electronics Supplementary materials

Below is the link to the electronic supplementary material.

Online Resource 1 (13.4KB, pdf)

Haplotype comparison of a shared linkage peak in families 1226, 1228, and 1229. The homozygous haplotypes from affected individuals in three families showing linkage to the SGCB gene are indicated for markers spanning the overlapping portion of the linkage peaks. The haplotype was identical in all families and carried the c.541_551del mutation. Alleles for all biallelic SNP markers are arbitrarily assigned as “A” and “B.” (PDF 13kb)

Online Resource 2 (12KB, pdf)

Evolutionary conservation of novel mutations. Protein or DNA sequence flanking five missense or splice site mutations not previously reported is aligned across multiple species. Mutated amino acid or base is indicated by arrow and in red for Homo sapiens. (A) Protein sequence alignment for FKRP missense mutations p.T314M and p.V338L. (B) DNA sequence alignment for SGCA splice mutation c.584+5G>A. (C) Protein sequence alignment for SEPN1 missense mutation p.L156P. (D) Protein sequence alignment for SEPN1 missense mutation. (PDF 11kb)

Acknowledgments

The authors thank the patients and their families for their participation in this study and Kyriacos Markianos for helpful discussions. This work was supported by K08 NS048180 (PBK), the Genise Goldenson Fund (PBK), the Howard Hughes Medical Institute (LMK), the Manton Center for Orphan Disease Research (LMK), and the Bernard and Alva B. Gimbel Foundation (LMK). Microarray genotyping and DNA sequencing experiments were performed in the Molecular Genetics Core Facility at Children’s Hospital Boston, supported by NIH-P30-HD18655 through the Intellectual and Developmental Disabilities Research Center and NIH-P50-NS40828 through the Neuromuscular Disease Project.

Conflict of interest

The authors declare that they have no conflict of interest.

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Footnotes

Steven E. Boyden and Mustafa A. Salih contributed equally to this work.

References

  • 1.Guglieri M, Straub V, Bushby K, Lochmuller H. Limb-girdle muscular dystrophies. Curr Opin Neurol. 2008;21:576–584. doi: 10.1097/WCO.0b013e32830efdc2. [DOI] [PubMed] [Google Scholar]
  • 2.Bolduc V, Marlow G, Boycott KM, Saleki K, Inoue H, Kroon J, Itakura M, Robitaille Y, Parent L, Baas F, Mizuta K, Kamata N, Richard I, Linssen WH, Mahjneh I, de Visser M, Bashir R, Brais B. Recessive mutations in the putative calcium-activated chloride channel Anoctamin 5 cause proximal LGMD2L and distal MMD3 muscular dystrophies. Am J Hum Genet. 2010;86:213–221. doi: 10.1016/j.ajhg.2009.12.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Guglieri M, Magri F, D'Angelo MG, Prelle A, Morandi L, Rodolico C, Cagliani R, Mora M, Fortunato F, Bordoni A, Del Bo R, Ghezzi S, Pagliarani S, Lucchiari S, Salani S, Zecca C, Lamperti C, Ronchi D, Aguennouz M, Ciscato P, Di Blasi C, Ruggieri A, Moroni I, Turconi A, Toscano A, Moggio M, Bresolin N, Comi GP. Clinical, molecular, and protein correlations in a large sample of genetically diagnosed Italian limb girdle muscular dystrophy patients. Hum Mutat. 2008;29:258–266. doi: 10.1002/humu.20642. [DOI] [PubMed] [Google Scholar]
  • 4.Fanin M, Nascimbeni AC, Aurino S, Tasca E, Pegoraro E, Nigro V, Angelini C. Frequency of LGMD gene mutations in Italian patients with distinct clinical phenotypes. Neurology. 2009;72:1432–1435. doi: 10.1212/WNL.0b013e3181a1885e. [DOI] [PubMed] [Google Scholar]
  • 5.Lander ES, Botstein D. Homozygosity mapping: a way to map human recessive traits with the DNA of inbred children. Science. 1987;236:1567–1570. doi: 10.1126/science.2884728. [DOI] [PubMed] [Google Scholar]
  • 6.Sawcer SJ, Maranian M, Singlehurst S, Yeo T, Compston A, Daly MJ, De Jager PL, Gabriel S, Hafler DA, Ivinson AJ, Lander ES, Rioux JD, Walsh E, Gregory SG, Schmidt S, Pericak-Vance MA, Barcellos L, Hauser SL, Oksenberg JR, Kenealy SJ, Haines JL. Enhancing linkage analysis of complex disorders: an evaluation of high-density genotyping. Hum Mol Genet. 2004;13:1943–1949. doi: 10.1093/hmg/ddh202. [DOI] [PubMed] [Google Scholar]
  • 7.Abecasis GR, Cherny SS, Cookson WO, Cardon LR. Merlin—rapid analysis of dense genetic maps using sparse gene flow trees. Nat Genet. 2002;30:97–101. doi: 10.1038/ng786. [DOI] [PubMed] [Google Scholar]
  • 8.Thompson JD, Higgins DG, Gibson TJ. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994;22:4673–4680. doi: 10.1093/nar/22.22.4673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Ramensky V, Bork P, Sunyaev S. Human non-synonymous SNPs: server and survey. Nucleic Acids Res. 2002;30:3894–3900. doi: 10.1093/nar/gkf493. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Aoki M, Liu J, Richard I, Bashir R, Britton S, Keers SM, Oeltjen J, Brown HE, Marchand S, Bourg N, Beley C, McKenna-Yasek D, Arahata K, Bohlega S, Cupler E, Illa I, Majneh I, Barohn RJ, Urtizberea JA, Fardeau M, Amato A, Angelini C, Bushby K, Beckmann JS, Brown RH., Jr Genomic organization of the dysferlin gene and novel mutations in Miyoshi myopathy. Neurology. 2001;57:271–278. doi: 10.1212/wnl.57.2.271. [DOI] [PubMed] [Google Scholar]
  • 11.Moghadaszadeh B, Petit N, Jaillard C, Brockington M, Roy SQ, Merlini L, Romero N, Estournet B, Desguerre I, Chaigne D, Muntoni F, Topaloglu H, Guicheney P. Mutations in SEPN1 cause congenital muscular dystrophy with spinal rigidity and restrictive respiratory syndrome. Nat Genet. 2001;29:17–18. doi: 10.1038/ng713. [DOI] [PubMed] [Google Scholar]
  • 12.Ferreiro A, Quijano-Roy S, Pichereau C, Moghadaszadeh B, Goemans N, Bonnemann C, Jungbluth H, Straub V, Villanova M, Leroy JP, Romero NB, Martin JJ, Muntoni F, Voit T, Estournet B, Richard P, Fardeau M, Guicheney P. Mutations of the selenoprotein N gene, which is implicated in rigid spine muscular dystrophy, cause the classical phenotype of multiminicore disease: reassessing the nosology of early-onset myopathies. Am J Hum Genet. 2002;71:739–749. doi: 10.1086/342719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Piccolo F, Roberds SL, Jeanpierre M, Leturcq F, Azibi K, Beldjord C, Carrie A, Recan D, Chaouch M, Reghis A, et al. Primary adhalinopathy: a common cause of autosomal recessive muscular dystrophy of variable severity. Nat Genet. 1995;10:243–245. doi: 10.1038/ng0695-243. [DOI] [PubMed] [Google Scholar]
  • 14.Noguchi S, McNally EM, Ben Othmane K, Hagiwara Y, Mizuno Y, Yoshida M, Yamamoto H, Bonnemann CG, Gussoni E, Denton PH, Kyriakides T, Middleton L, Hentati F, Ben Hamida M, Nonaka I, Vance JM, Kunkel LM, Ozawa E. Mutations in the dystrophin-associated protein gamma-sarcoglycan in chromosome 13 muscular dystrophy. Science. 1995;270:819–822. doi: 10.1126/science.270.5237.819. [DOI] [PubMed] [Google Scholar]
  • 15.den Dunnen JT (2010) Leiden Muscular Dystrophy pages. Leiden University Medical Center. http://www.dmd.nl/. Accessed 6 April 2010.
  • 16.Cupler EJ, Bohlega S, Hessler R, McLean D, Stigsby B, Ahmad J. Miyoshi myopathy in Saudi Arabia: clinical, electrophysiological, histopathological and radiological features. Neuromuscul Disord. 1998;8:321–326. doi: 10.1016/S0960-8966(98)00026-1. [DOI] [PubMed] [Google Scholar]
  • 17.Liu J, Aoki M, Illa I, Wu C, Fardeau M, Angelini C, Serrano C, Urtizberea JA, Hentati F, Hamida MB, Bohlega S, Culper EJ, Amato AA, Bossie K, Oeltjen J, Bejaoui K, McKenna-Yasek D, Hosler BA, Schurr E, Arahata K, de Jong PJ, Brown RH., Jr Dysferlin, a novel skeletal muscle gene, is mutated in Miyoshi myopathy and limb girdle muscular dystrophy. Nat Genet. 1998;20:31–36. doi: 10.1038/1682. [DOI] [PubMed] [Google Scholar]
  • 18.Abu Safieh L, Aldahmesh MA, Shamseldin H, Hashem M, Shaheen R, Alkuraya H, Al Hazzaa SA, Al-Rajhi A, Alkuraya FS. Clinical and molecular characterisation of Bardet–Biedl syndrome in consanguineous populations: the power of homozygosity mapping. J Med Genet. 2010;47:236–241. doi: 10.1136/jmg.2009.070755. [DOI] [PubMed] [Google Scholar]
  • 19.Harville HM, Held S, Diaz-Font A, Davis EE, Diplas BH, Lewis RA, Borochowitz ZU, Zhou W, Chaki M, MacDonald J, Kayserili H, Beales PL, Katsanis N, Otto E, Hildebrandt F. Identification of 11 novel mutations in eight BBS genes by high-resolution homozygosity mapping. J Med Genet. 2010;47:262–267. doi: 10.1136/jmg.2009.071365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Seelow D, Schuelke M, Hildebrandt F, Nurnberg P. Homozygositymapper—an interactive approach to homozygosity mapping. Nucleic Acids Res. 2009;37:W593–W599. doi: 10.1093/nar/gkp369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Kruglyak L, Daly MJ, Lander ES. Rapid multipoint linkage analysis of recessive traits in nuclear families, including homozygosity mapping. Am J Hum Genet. 1995;56:519–527. [PMC free article] [PubMed] [Google Scholar]
  • 22.Lander E, Kruglyak L. Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results. Nat Genet. 1995;11:241–247. doi: 10.1038/ng1195-241. [DOI] [PubMed] [Google Scholar]
  • 23.Lo HP, Cooper ST, Evesson FJ, Seto JT, Chiotis M, Tay V, Compton AG, Cairns AG, Corbett A, MacArthur DG, Yang N, Reardon K, North KN. Limb-girdle muscular dystrophy: diagnostic evaluation, frequency and clues to pathogenesis. Neuromuscul Disord. 2008;18:34–44. doi: 10.1016/j.nmd.2007.08.009. [DOI] [PubMed] [Google Scholar]
  • 24.Hildebrandt F, Heeringa SF, Ruschendorf F, Attanasio M, Nurnberg G, Becker C, Seelow D, Huebner N, Chernin G, Vlangos CN, Zhou W, O'Toole JF, Hoskins BE, Wolf MT, Hinkes BG, Chaib H, Ashraf S, Schoeb DS, Ovunc B, Allen SJ, Vega-Warner V, Wise E, Harville HM, Lyons RH, Washburn J, Macdonald J, Nurnberg P, Otto EA. A systematic approach to mapping recessive disease genes in individuals from outbred populations. PLoS Genet. 2009;5:e1000353. doi: 10.1371/journal.pgen.1000353. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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Supplementary Materials

Online Resource 1 (13.4KB, pdf)

Haplotype comparison of a shared linkage peak in families 1226, 1228, and 1229. The homozygous haplotypes from affected individuals in three families showing linkage to the SGCB gene are indicated for markers spanning the overlapping portion of the linkage peaks. The haplotype was identical in all families and carried the c.541_551del mutation. Alleles for all biallelic SNP markers are arbitrarily assigned as “A” and “B.” (PDF 13kb)

Online Resource 2 (12KB, pdf)

Evolutionary conservation of novel mutations. Protein or DNA sequence flanking five missense or splice site mutations not previously reported is aligned across multiple species. Mutated amino acid or base is indicated by arrow and in red for Homo sapiens. (A) Protein sequence alignment for FKRP missense mutations p.T314M and p.V338L. (B) DNA sequence alignment for SGCA splice mutation c.584+5G>A. (C) Protein sequence alignment for SEPN1 missense mutation p.L156P. (D) Protein sequence alignment for SEPN1 missense mutation. (PDF 11kb)


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