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. 2014 May 15;23(19):5271–5282. doi: 10.1093/hmg/ddu224

Rare variants in FBN1 and FBN2 are associated with severe adolescent idiopathic scoliosis

Jillian G Buchan 1,, David M Alvarado 2,, Gabe E Haller 2, Carlos Cruchaga 3, Matthew B Harms 4, Tianxiao Zhang 3, Marcia C Willing 5, Dorothy K Grange 5, Alan C Braverman 6, Nancy H Miller 7, Jose A Morcuende 8, Nelson Leung-Sang Tang 9, Tsz-Ping Lam 9, Bobby Kin-Wah Ng 9, Jack Chun-Yiu Cheng 9, Matthew B Dobbs 2,10, Christina A Gurnett 2,4,5,*
PMCID: PMC4159151  PMID: 24833718

Abstract

Adolescent idiopathic scoliosis (AIS) causes spinal deformity in 3% of children. Despite a strong genetic basis, few genes have been associated with AIS and the pathogenesis remains poorly understood. In a genome-wide rare variant burden analysis using exome sequence data, we identified fibrillin-1 (FBN1) as the most significantly associated gene with AIS. Based on these results, FBN1 and a related gene, fibrillin-2 (FBN2), were sequenced in a total of 852 AIS cases and 669 controls. In individuals of European ancestry, rare variants in FBN1 and FBN2 were enriched in severely affected AIS cases (7.6%) compared with in-house controls (2.4%) (OR = 3.5, P = 5.46 × 10−4) and Exome Sequencing Project controls (2.3%) (OR = 3.5, P = 1.48 × 10−6). Scoliosis severity in AIS cases was associated with FBN1 and FBN2 rare variants (P = 0.0012) and replicated in an independent Han Chinese cohort (P = 0.0376), suggesting that rare variants may be useful as predictors of curve progression. Clinical evaluations revealed that the majority of AIS cases with rare FBN1 variants do not meet diagnostic criteria for Marfan syndrome, though variants are associated with tall stature (P = 0.0035) and upregulation of the transforming growth factor beta pathway. Overall, these results expand our definition of fibrillin-related disorders to include AIS and open up new strategies for diagnosing and treating severe AIS.

INTRODUCTION

Adolescent idiopathic scoliosis (AIS) is a lateral curvature of the spine that presents in late childhood and occurs in up to 3% of all children. AIS causes scoliosis of unknown etiology and is diagnosed only after other causes of scoliosis, including neuromuscular disorders, congenital vertebral abnormalities, and other known conditions have been ruled out. AIS accounts for over 80% of all scoliosis. Although bracing is effective at limiting curve progression in some AIS patients (1), >18 000 children undergo major spinal surgery annually because of severe scoliosis (2).

Twin (3) and family (46) studies indicate that genetic factors play an important role in AIS etiology, but the genetic basis is likely complex with non-Mendelian inheritance and large genetic heterogeneity (711). Numerous candidate genes and loci have been identified (see review 12), but few associations have been replicated in independent populations. Genome-wide association studies have identified common genetic polymorphisms associated with AIS in neural cell adhesion genes (13), ladybird homeobox 1 (LBX1) (14) and G-protein coupled-receptor 126 (GPR126) (15); however, common polymorphisms account for only a small amount of AIS heritability and the genetic basis of AIS remains poorly understood.

Rare variants are thought to have a greater contribution to disease risk because negative selection restricts variants of large genetic effect from rising to high frequency (16). We therefore hypothesized that rare genetic variants are a major contributor to severe AIS susceptibility. Although large-scale sequencing studies are needed to detect rare variants, such studies have recently become feasible due to emerging sequencing technologies and reduction in sequencing cost. Using exome sequencing, we first analyzed rare variants genome-wide in a small cohort of severe AIS cases and identified FBN1 and FBN2 as candidate genes for AIS, which we then sequenced in a larger case and control cohort using a newly described, cost-effective targeted capture method.

RESULTS

Exome sequencing screen identifies FBN1 and FBN2 as a candidate gene for severe AIS

To identify candidate genes for AIS, exome sequencing was performed on 91 AIS cases with severe scoliosis (spinal curves measuring ≥40° or surgically treated). We restricted our analysis to AIS patients with severe scoliosis to reduce the likelihood of latent disease in the control population, thus increasing power of the association (17). Furthermore, identifying genetic variants associated with severe AIS may be clinically useful to predict curve progression. Cases in this cohort had an average spinal curve of 60.2° (SD = 15.2°) and 84% were female. The female bias is consistent with previous studies, where female-to-male ratios are estimated to be as high as 10:1 with severe deformity (18). Exome sequencing data were also generated for 337 controls. All cases and controls were unrelated and of European ancestry. Only coding variants that caused nonsense, splice-site, missense or insertion/deletion mutations which were rare (defined as being absent in dbSNP) were included in the analysis. This filtering strategy was selected to enrich in mutations that are very rare and most likely to be deleterious.

Using a gene-burden analysis, we compared the genome-wide frequency of rare coding variants in severe AIS cases and controls. Of nearly 13 000 genes identified with at least one rare variant, FBN1 (encoding fibrillin-1) was the most significantly associated gene with AIS compared with controls (P = 3.17 × 10−4, Fisher's exact test). The collapsed minor allele frequency (cMAF) for all rare variants in FBN1 was 0.044 in cases (n = 91), compared with 0.005 in controls (n = 337) (OR = 10.4, 95% CI = 2.7–39.5). This result was surprising, as mutations in FBN1 are associated with Marfan syndrome (MIM 154700), an autosomal dominant and highly penetrant disorder that causes skeletal, ocular and cardiovascular phenotypes. Likely a result of the small sample size, the association did not reach exome-wide significance (P < 2.5 × 10−6). However, FBN1 was a compelling candidate for AIS because 63% of Marfan syndrome patients develop scoliosis (19).

A related gene, fibrillin-2 (FBN2), showed weak association with AIS in our exome sequencing screen (cMAF = 0.022) compared with controls (cMAF = 0.004) (P = 0.0404, Fisher's exact test). Autosomal dominant mutations in FBN2 cause congenital contractural arachnodactyly (MIM 121050), a disorder that has large phenotypic overlap with Marfan syndrome and causes scoliosis in 50% of patients (20). Furthermore, a single-nucleotide polymorphism (SNP) in FBN2 was identified among the top 100 SNPs associated with AIS in a recent genome-wide association study (13); therefore, we reasoned that rare FBN2 variants could also be associated with AIS.

Rare coding variants in FBN1 and FBN2 are enriched in severe AIS

Based on the results of our exome sequencing screen, FBN1 and FBN2 were selected as candidate genes to study in a larger cohort. Both genes were sequenced in additional AIS patients and controls using Multiplex Direct Genomic Selection (MDiGS), a newly described targeted capture approach (21). In total, 323 severely affected AIS cases and 493 controls of European descent were analyzed for rare variants in FBN1 or FBN2. All cases and controls had ≥95% coverage at ≥8× read depth to be included in the gene analysis. The average spinal curve in the AIS cohort was 57.4° (SD = 12.1°). As an independent control cohort, we also identified rare variants in FBN1 and FBN2 for 4300 individuals of European ancestry from the NHLBI GO Exome Sequencing Project (ESP) controls (n = 4300).

For FBN1, rare variants were enriched in AIS cases (cMAF = 0.021) compared with both in-house controls (cMAF = 0.005) (P = 0.0041, Fisher's exact test) and ESP controls (cMAF = 0.005) (P = 8.14 × 10−5, Fisher's exact test) (Table 1). Thirteen AIS patients (4.2%, n = 13/311) and five in-house controls (1.0%, N = 5/489) were identified with a rare variant in FBN1. An estimated 1.0% (n = 44/4300) of ESP controls had a rare FBN1 variant (assuming each individual harbored only one variant). All AIS variants were heterozygous and caused missense amino acid changes throughout the FBN1 protein (Fig. 1A, Table 2). Segregation was evaluated for nine families with DNA available from one or more additional family members (Supplementary Material, Fig. S1). FBN1 variants segregated with AIS in some families. Two variants (p.G1217S and p.G1313S) were located in exons 24–32 of FBN1, which is occasionally associated with a more severe, early-onset form of Marfan syndrome (28,29). Three variants were previously reported in Marfan syndrome [p.L1405R (23), p.M1576T (24,25) and p.I2585T (23,26,27)] and one of these variants (p.M1576T) was recurrent in three AIS patients (Table 2). Variants previously reported in Marfan syndrome were also identified in the ESP cohort [p.D1479E (23), p.E2019K (30), p.R2554W (31), p.R2694Q (32) and p.S2832G (32)], whereas none of the in-house control variants were previously reported as pathogenic.

Table 1.

Rare variant frequencies for FBN1 and FBN2 in AIS cases and controls of European ancestry

  AIS cases (≥40°)
Controls (this study)
Controls (ESP)
n Variant alleles cMAF n Variant alleles cMAF Odds ratio (95% CI) P-value n Variant alleles cMAF Odds ratio (95% CI) P-value
FBN1 311 13 0.021 489 5 0.005 4.2 (1.5–11.7) 0.0041 4300 44 0.005 4.2 (2.2–7.7) 8.14 × 10−5
FBN2 316 11 0.017 427 5 0.006 3.0 (1.0–8.7) 0.0307 4300 56 0.007 2.7 (1.4–5.2) 0.0054
FBN1 or FBN2 304 24 0.039 425 10 0.012 3.5 (1.6–7.3) 5.46 × 10−4 4300 100 0.012 3.5 (2.2–5.5) 1.48 × 10−6

cMAF, collapsed minor allele frequency; ESP, NHLBI Exome Sequencing Project.

Figure 1.

Figure 1.

Rare FBN1 and FBN2 variants identified in AIS patients. Protein structure of FBN1 and FBN2 (redrawn from 22). (A) Missense variants were identified throughout FBN1 in AIS patients of European descent (n = 417) and other ancestries (n = 47). Variants previously associated with Marfan syndrome are in bold. (B) Missense and other coding changes were identified in FBN2 in AIS patients of European (n = 423) and other ancestries (n = 47). The region where congenital contractural arachnodactyly (CCA) mutations are primarily located is shown. Asterisk indicates variants identified in other ancestries.

Table 2.

Rare FBN1 and FBN2 variants identified in AIS cases (curve ≥10°)

Case Scoliosis curve Ancestry Genomic position (hg19) Base change Gene GVS function Amino acid change ESP frequencya Disease association
6128-001 84° EUR chr15:48 902 952 T>A FBN1 Missense p.Ile107Leu
6340-001 48° EUR chr15:48 826 300 T>G FBN1 Missense p.Asn280Thr
6390-001 60° AFR chr15:48 796 007 T>C FBN1 Missense p.Gln697Arg
6377-001 50° EUR chr15:48 795 990 T>G FBN1 Missense p.Asn703His
6016-001 36° Other chr15:48 784 766 C>T FBN1 Missense p.Val916Met N = 1/6,494
1044 70° EUR chr15:48 777 634 C>T FBN1 Missense p.Gly1217Ser
6273-001 48° AFR chr15:48 777 609 G>A FBN1 Missense p.Pro1225Leu
1083 52° EUR chr15:48 773 879 C>T FBN1 Missense p.Gly1313Ser
6226-001 97° EUR chr15:48 764 870 A>C FBN1 Missense p.Leu1405Arg MFS (23)
6272-001 90° EUR chr15:48 760 155 A>G FBN1 Missense p.Met1576Thr MFS (24,25)
6418-001 65° EUR
6442-001 35° EUR
450-14600 38° EUR chr15:48 741 087 C>T FBN1 Missense p.Arg1850His
6320-001 66° EUR chr15:48 736 768 C>T FBN1 Missense p.Gly2003Arg
6368-001 100° EUR chr15:48 726 873 A>T FBN1 Missense p.Asn2178Lys
6111-001 95° EUR chr15:48 725 128 T>A FBN1 Missense p.Tyr2225Phe
6386-001 93° EUR chr15:48 712 949 A>G FBN1 Missense p.Ile2585Thr MFS (23,26,27)
6005-001 55° EUR chr15:48 703 201 C>T FBN1 Missense p.Val2868Ile
6463-001 57° AFR chr5:127 873 139 C>T FBN2 Missense p.Gly53Asp N = 2/6,489
6112-001 48° EUR chr5:127 872 157 C>T FBN2 Missense p.Arg92Lys
1157 45° EUR chr5:127 782 238 A>ACTGTA FBN2 Frameshift
6124-001 75° EUR chr5:127 713 520 C>T FBN2 Missense p.Val592Met
6279-001 55° EUR chr5:127 704 904 G>T FBN2 Missense p.Pro740His
1022 25° EUR chr5:127 681 205 G>A FBN2 Missense p.Arg1021Cys
6191-001 90° EUR chr5:127 674 750 A>C FBN2 Missense p.Ile1116Ser
6129-001 80° EUR chr5:127 674 724 G>C FBN2 Missense p.Leu1125Val
6367-001 70° Other chr5:127 673 755 C>T FBN2 Missense p.Glu1178Lys
6229-001 65° EUR chr5:127 671 182 C>G FBN2 Missense p.Gly1271Ala
6206-001 50° EUR chr5:127 627 260 G>T FBN2 Missense p.Pro2085Thr
6383-001 43° EUR chr5:127 613 647 T>C FBN2 Missense p.Ile2466Val N = 1/6,503
6418-001 65° EUR chr5:127 609 564 A>G FBN2 Missense p.Phe2603Ser N = 2/6,503
6216-001 50° EUR chr5:127 607 792 C>T FBN2 Missense p.Gly2620Glu

NA, not available; EUR, European; AFR, African; ESP, NHLBI Exome Sequencing Project; MFS, Marfan syndrome.

aFrequency includes individuals of African and European ancestries.

Similarly, rare FBN2 variants were also enriched in AIS cases (cMAF = 0.017) compared with in-house controls (cMAF = 0.006) (P = 0.0307, Fisher's exact test) and ESP controls (cMAF = 0.007) (P = 0.0054, Fisher's exact test) (Table 1). Eleven AIS patients (3.5%, n = 11/316), five in-house controls (1.2%, n = 5/427) and ∼1.3% (n = 56/4300) of ESP controls were identified with a variant in FBN2. All AIS variants were heterozygous and caused missense mutations, except for a five base insertion present in one AIS case (Fig. 1B, Table 2). DNA was available for one or more additional family members in seven families. FBN2 variants segregated with AIS in some families (Supplementary Material, Fig. S1). In congenital contractural arachnodactyly, pathogenic mutations are limited to exons 23–34 (33). In contrast, variants identified in AIS patients were located throughout the protein, including exons 23–34 (p.R1021C, p.I1116S, p.L1125V and p.G1271A). None of the variants identified in AIS cases or controls were previously reported in congenital contractural arachnodactyly.

Combining rare variants from both FBN1 and FBN2 yielded a cMAF of 0.039 in AIS cases, 0.012 in controls (P = 5.46 × 10−4, Fisher's exact test) and 0.012 in ESP controls (P = 1.48 × 10−6, Fisher's exact test) (Table 1). Only one AIS case and none of the in-house controls had a variant in both FBN1 and FBN2. Thus, variants in either FBN1 or FBN2 were identified in 7.6% (n = 23/304) of AIS cases, 2.4% (n = 10/425) of in-house controls and ∼2.3% (n = 100/4300) of ESP controls.

In addition to AIS cases with severe scoliosis, we also sequenced 112 AIS cases of European ancestry with mild-to-moderate scoliosis (curve <40°). The average spinal curve in this cohort was 28.1° (SD = 6.9°). Rare variants in FBN1 and FBN2 were identified in 1.9% (n = 2/106) and 0.9% (n = 1/107), respectively, of the mild to moderately affected AIS cases (Fig. 1A and B, Table 2). FBN1 and FBN2 rare variant frequencies were not significantly different in mild-to-moderate AIS cases compared with in-house controls (P = 0.47, Fisher's exact test) or ESP controls (P = 0.42, Fisher's exact test).

Distinct clinical features of AIS patients with rare fibrillin variants

To determine if AIS patients with rare fibrillin variants manifest unique clinical characteristics, we compared patients with variants in FBN1 (n = 15) and FBN2 (n = 12) to patients without rare variants in either gene (n = 379) (Table 3). Analysis was limited to individuals of European ancestry, but included all curve severities (≥10°). The average spinal curve was 20° greater in AIS patients with an FBN1 variant compared with other patients (P = 6.91 × 10−4, Mann–Whitney–Wilcoxon test). All 15 AIS patients with rare FBN1 variants developed scoliosis with a Cobb angle of ≥35° (Table 2), which would typically warrant bracing or surgery. FBN1 variants were also associated with taller stature standardized to age and gender (P = 0.0035, Mann–Whitney–Wilcoxon test). Of all AIS patients in this cohort with height ≥90th percentile, 22.5% (n = 9/40) were found to have a rare FBN1 variant. Rare FBN1 variants were also associated with Marfan-associated features, which were quantified using the revised Ghent criteria (35) (P = 0.0072, Mann–Whitney–Wilcoxon test). Gender, weight, body mass index, family history of treated AIS and joint hypermobility were not associated with the presence of rare FBN1 variants. There were no unique clinical characteristics in AIS patients with rare FBN2 variants (Table 3). However, like FBN1, we noted a trend towards greater spinal curves in AIS patients with FBN2 variants (P = 0.10).

Table 3.

Clinical characteristics of AIS cases (curve ≥10°) of European ancestry with rare variants in FBN1 and FBN2

No variant FBN1 P-value FBN2 P-value
Female 86% (n = 379) 80% (n = 15) 0.35 83% (n = 12) 0.51
Spinal curve (avg ± s.d.) 49° ± 16 (n = 364) 69° ± 23 (n = 15) 6.91 × 10−4 58° ± 18 (n = 12) 0.10
Height percentile (avg ± s.d.) 55th ± 30 (n = 217) 75th ± 31 (n = 15) 0.0035 56th ± 35 (n = 12) 0.41
Weight percentile (avg ± s.d.) 57th ± 31 (n = 217) 69th ± 30 (n = 15) 0.06 50th ± 33 (n = 12) 0.25
Body mass index (avg ± s.d.) 22.2 ± 5.1 (n = 217) 21.6 ± 4.0 (n = 15) 0.42 20.2 ± 3.6 (n = 12) 0.06
First degree relative with treated AIS 16% (n = 277) 33% (n = 12) 0.12 20% (n = 10) 0.50
Beighton joint hypermobility score (34) (avg ± s.d.) 1.4 ± 1.6 (n = 105) 2.5 ± 2.8 (n = 10) 0.09 1.0 ± 0.8 (n = 4) 0.45
Ghent systemic features score (35) (avg ± s.d.) 2.4 ± 1.4 (n = 105) 4.2 ± 2.6 (n = 10) 0.0072 3.5 ± 1.9 (n = 4) 0.10

avg, average; s.d., standard deviation.

Curve severity is associated with rare fibrillin variants in AIS cases of European and Han Chinese ancestries

AIS patients of European ancestry with a rare variant in either FBN1 or FBN2 (N = 26) developed an average spinal curve of 64.0°, compared with 49.0° in cases with no rare variants (n = 364) (P = 0.0012, Mann–Whitney–Wilcoxon test) (Fig. 2). Because predicting curve severity has important clinical implications, we performed a replication study in 370 Han Chinese AIS patients. Our replication cohort included all curve severities ≥10° (average = 34.1°, SD = 12.5°). Twenty-eight (7.6%, n = 28/370) Han Chinese cases were identified with a rare coding variant in FBN1 or FBN2. The average spinal curve in these cases (37.2°, n = 28) was greater than cases with no rare variant in FBN1 or FBN2 (33.9°, n = 342) (P = 0.0376, Mann–Whitney–Wilcoxon test) (Fig. 2). Moreover, 11.9% (n = 12/101) of Han Chinese cases with severe spinal curves measuring ≥40° had a rare variant in FBN1 or FBN2, compared with only 5.9% (n = 16/269) of cases with spinal curves <40° (P = 0.04826, Fisher's exact test).

Figure 2.

Figure 2.

Rare FBN1 and FBN2 variants are associated with curve severity in AIS. The average spinal curve was determined for AIS cases with a rare variant in either FBN1 or FBN2 (Variant) and AIS cases without a rare variant in either gene (No variant). AIS cases of European ancestry (n = 405), Han Chinese ancestry (n = 370) and a combined analysis consisting of cases of European, Han Chinese and other ancestries (n = 801) consistently showed that patients with rare variants in FBN1 or FBN2 developed larger spinal curves. *P < 0.05, **P < 0.01.

AIS cases of other ancestral background (n = 47) were also sequenced in this study and an additional five rare variants in FBN1 and FBN2 were identified (Fig. 1A and B, Table 2). In all ancestries, the average spinal curve in AIS cases with a rare FBN1 or FBN2 variant was 50.5° (n = 59), compared with 42.1° in cases with no fibrillin variant (n = 742) (P = 0.0026, Mann–Whitney–Wilcoxon test) (Fig. 2).

Evaluation of Marfan syndrome in AIS patients with FBN1 variants

Pathogenic mutations in Marfan syndrome result in progressive dilation of the aorta, which predisposes individuals to aortic aneurysms and dissections (35). Because the life-threatening cardiovascular complications of Marfan syndrome are preventable, it is currently recommended that known or expected pathogenic mutations identified incidentally during clinical sequencing are reported (36). Therefore, AIS patients with rare FBN1 variants were referred for additional evaluations assessing potential Marfan syndrome. Nine patients agreed to additional evaluations and were subsequently assessed by a clinical geneticist (Table 4). Three AIS patients had Marfan syndrome-associated mutations (p.L1405R, p.M1576T and p.I2585T) and six patients had variants of unknown significance (p.N280T, p.Q697R, p.N703H, p.N2178K, p.Y2225F and p.V2868I). The revised Ghent nosology (35) was employed. AIS patients were between 10 and 24 years old at time of evaluation. Seven patients had imaging studies for aortic root dilation and five patients received a dilated eye exam. Two AIS patients received physical examinations but no cardiac imaging studies. Familial DNA was available for genotyping in seven cases. The FBN1 variant was inherited in six cases and one family (6005-001) was inconclusive (Supplementary Material, Fig. S1). None of the AIS patients reported significant features suggestive of Marfan syndrome (ectopia lentis, unexplained death, aortic dissection or aortic aneurysm) in any family members. Nonspecific features of Marfan syndrome (e.g. pectus deformity, hypermobility) were present in some family members. Only one of the nine patients that received additional evaluation met the diagnostic criteria for Marfan syndrome. This patient (6386-001) had aortic root dilation (z-score = 2.6) and significant Marfan-associated systemic features (Ghent systemic features score = 10) (Table 4). Of all patients of European descent evaluated for systemic features (n = 118), 6386-001 was the only patient that scored ≥7, which is considered clinically significant (35). The mutation identified in 6386-001 (p.I2585T) was previously described in multiple individuals with Marfan syndrome (23,26,27).

Table 4.

Clinical features of AIS patients evaluated for Marfan syndrome

Case 6340-001 6390-001 6377-001 6226-001 6418-001 6368-001 6111-001 6386-001 6005-001
General patient information
 Ancestry EUR AFR EUR EUR EUR EUR EUR EUR EUR
 Gender M F F F F F M F F
 Age (years) 13 14 17 18 14 10 13 15 24
 Height (percentile) >99th 70th 57th 91st >99th >99th 93rd 98th 91st
 Weight (percentile) 99th 96th 62nd 85th 87th 88th 86th 92nd 95th
 Spinal curve 48° 60° 50° 97° 65° 100° 95° 93° 55°
 Curve type R–T R–T R–TC R–T R–T R–T L–T R–T R–T
 Treatment None Surgery Surgery Surgery Surgery Surgery Surgery Surgery Surgery
FBN1
 FBN1 variant p.N280T p.Q697R p.N703H p.L1405R p.M1576T p.N2178K p.Y2225F p.I2585T p.V2868I
Variant reported in MFS No No No Yes Yes No No Yes No
Marfan syndrome evaluation
 MFS diagnosis No No No No No No No Yes No
 Aortic root dilation (z-score) − (−1.1) NA NA − (a) − (−1.5) − (−0.8) − (0.07) + (2.6) − (−0.96)
 Ectopia lentis NA NA NA NA
 Systemic features score 3/22 3/17 1/17 2/20 4/18 2/22 5/18 10/22 6/18
 Pectus deformity
 Hindfoot deformity + +
 Pes planus + + + + +
 Wrist/thumb sign +
 Upper/lower segment 1.17 0.93 0.97 1.00 0.95 0.88 0.85 0.76 0.99
 Arm span/height 1.03 1.08 0.98 1.01 1.01 1.03 1.07 1.09 1.02
 Reduced elbow extension +
 Dural ectasia NA NA NA NA NA
 Protrusio acetabuli NA NA NA NA NA NA
 Skin striae + + + + + + +
 Facial features (3/5)
 Myopia + + + +
 Pneumothorax
 Mitral valve prolapse NA NA
Hypermobility evaluation
 Hypermobility score 0/9 0/9 1/8 4/8 1/9 2/9 2/8 2/9 9/9
 Hands flat on floor NA +
 L knee overextends + +
 R knee overextends + +
 L elbow bends >10° +
 R elbow bends >10° +
 L thumb touching forearm + + + + +
 R thumb touching forearm NA + + + NA + +
 L little finger >90° + +
 R little finger >90° + +

+, present; −, absent; L, left; R, right; T, thoracic; TC, thoracolumbar; EUR, European; AFR, African; MFS, Marfan syndrome; NA, not available.

a2.7 cm at the sinuses of Valsalva by MRI (normal for BSA, age per gender).

Increased phosphorylation of SMAD2 in paraspinous muscle of AIS patients with rare FBN1 variants

Previous studies have shown that pathogenic FBN1 mutations causing Marfan syndrome result in upregulated transforming growth factor beta (TGF-β) signaling that can be measured in plasma or indirectly measured through activation of downstream targets, such as phosphorylation of SMAD2 (pSMAD2) (3740). To determine if AIS patients with rare FBN1 and FBN2 variants also have upregulated TGF-β, we used western blotting to examine pSMAD2 levels in paraspinous muscle from three AIS cases harboring a variant in FBN1 (p.P1225L, p.M1576T and p.G2003R) and one AIS case with a rare variant in FBN2 (p.P740H) (Fig. 3). Paraspinous muscle was also collected for a patient diagnosed with Marfan syndrome (positive control) and an unaffected individual who did not have scoliosis (negative control). Compared with the unaffected control, pSMAD2 was elevated in all AIS patients with rare FBN1 variants and in the Marfan syndrome patient. We observed similar pSMAD2 levels the AIS patient with a rare FBN2 variant compared with the unaffected control.

Figure 3.

Figure 3.

Elevated pSMAD2 in AIS patients with rare FBN1 variants. Paraspinous muscle from an unaffected control, AIS cases with rare variants in FBN1 or FBN2 and a Marfan syndrome patient were immunostained for pSMAD2. pSMAD2 was elevated in AIS cases with rare FBN1 variants at levels similar to Marfan syndrome. pSMAD2/actin ratio is shown normalized to the unaffected control.

DISCUSSION

Pathogenic mutations in FBN1 are most frequently associated with Marfan syndrome (41) where over 1000 mutations have been described (42), but mutations in FBN1 have also been reported in ectopia lentis syndrome (43), isolated aortic aneurysm (4447), Shprintzen–Goldberg syndrome (48), Weill–Marchesani syndrome (49), geleophysic and acromicric dysplasia (50), stiff skin syndrome (51) and MASS phenotype (myopia, mitral valve prolapse, borderline aortic root dilation, skeletal and skin findings) (52). Mutations in FBN2 have previously been associated only with congenital contractural arachnodactyly (53). In the current study, we demonstrate an important role for FBN1 and FBN2 in the pathogenesis of AIS, broadening the spectrum of fibrillin-related disorders.

Until now, the majority of FBN1 and FBN2 sequencing studies have been limited to select cohorts of patients with suspected Marfan syndrome and congenital contractural arachnodactyly, particularly because the cost of sequencing FBN1 and FBN2, each consisting of ∼11 kb of coding sequence spread over 65 exons, is prohibitively high in large cohorts. However, FBN1 mutations were previously described in a family with isolated kyphoscoliosis (54) and a family with isolated skeletal features including scoliosis (55), suggesting that fibrillin might contribute to isolated skeletal phenotypes, such as AIS. In addition, earlier investigations revealed fibrillin abnormalities in the fibroblasts of AIS patients (56), but linkage analysis did not support segregation of the FBN1 locus in large AIS pedigrees (57) and further genetic studies in AIS were not pursued.

Using exome sequencing and a cost-effective targeted capture approach to sequence FBN1 and FBN2, we found that the burden of FBN1 and FBN2 rare variants is relatively high in severely affected AIS patients, with 7.6% of patients of European ancestry having a rare variant in either gene, over three times the frequency of controls (2.4%). Curve severity was the most striking clinical finding that distinguished patients with rare fibrillin variants, leading to spinal curves that were on average 15° larger than observed in other AIS patients. Our findings indicate that FBN1 and FBN2 variants could serve as prognostic genetic markers to predict scoliosis progression. This has important clinical implications because of the potential to develop personalized prevention strategies for those at high risk of severe deformity and to eliminate screening and treatment for patients at low risk (1,58,59). Interestingly, scoliosis is common in patients with Marfan syndrome (19) and congenital contractural arachnodactyly (20) and, like the AIS cases studied here, often progresses to severe curves (35,60,61). However, there are likely additional genetic and environmental factors contributing to this complex phenotype, so additional studies will be needed to address the sensitivity and specificity of predicting curve severity based on the presence of rare fibrillin variants.

In addition to spinal curve progression, we found that rare FBN1 variants are also associated with tall stature in the AIS population. Because nearly one-quarter of AIS cases in our study with height ≥90th percentile had a rare FBN1 variant, this easily obtainable clinical measure can identify patients who are particularly likely to harbor these genetic variants and may benefit from FBN1 sequencing studies. We also found that AIS patients with FBN1 variants collectively scored higher using the Ghent systemic features scoring system (35), which evaluates several nonspecific physical traits that are common in Marfan syndrome. Although myopia, skin striae, pes planus, joint hypermobility and other nonspecific Marfan-associated features were noted in some AIS patients, the overall difference in the systemic feature score was small and this score is unlikely to be useful for identifying individual AIS patients with rare FBN1 variants. Despite this, our data confirm that the systemic features scores do have utility as a screen for unrecognized Marfan syndrome in the AIS population, as the only patient with a clinically significant systemic feature score (≥7) was identified with an FBN1 mutation and subsequently diagnosed with Marfan syndrome after additional clinical testing as a part of this study.

While FBN1 mutations causing Marfan syndrome are associated with life threatening cardiovascular complications, our data suggest that the majority of AIS-associated FBN1 variants are associated with a more benign course. First, most AIS patients (n = 8/9) did not have significant systemic features of Marfan syndrome based on the current diagnostic criteria (Table 4) (35). Only mild, nonspecific physical findings (myopia, skin striae, pes planus and hypermobility) were observed in some AIS patients. Although the presence of these features suggests FBN1 variants contribute to other mild features beyond scoliosis, it is of our opinion that, had these AIS patients been evaluated without knowledge of FBN1 mutation status, Marfan syndrome would not have been suspected and FBN1 testing would not have been recommended based on physical evaluation alone. Second, the majority of patients who received imaging studies of the aorta showed no evidence of aortic dilation (n = 6/7), which is the cardinal feature of Marfan syndrome. Third, family histories did not endorse Marfan syndrome. Rare FBN1 variants were inherited from a parent in at least eight families, but no patient reported family members with features suggestive of Marfan syndrome, including aortic dilation, aortic aneurysm or dissection, ectopia lentis or unexplained death. Finally, over 60% of missense mutations causing Marfan syndrome disrupt a cysteine residue (29), but none of the missense mutations in AIS patients affected cysteine residues. In Marfan syndrome, patients with mutations creating or removing a cysteine are more likely to develop ectopia lentis compared with other missense mutations (29). This finding may explain why significant ocular phenotypes were not present in AIS patients or reported in family members.

Rare FBN1 and FBN2 variants segregated with AIS in some tested families with incomplete penetrance, but not all. This mode of transmission is consistent with a complex genetic model in which there are additional genetic and environmental risk factors. However, interpretation of segregation was hindered by the lack of DNA from all affected family members and the possibility of phenocopies within a family, which seems most plausible in cases where a variant failed to segregate with a mildly affected relative. Interestingly, other nonspecific phenotypes observed in Marfan syndrome and congenital contractural arachnodactyly, such as pectus carinatum, were also reported in some family members, although further studies are needed to determine if these features have any association with rare fibrillin variants.

Despite little evidence supporting a diagnosis of Marfan syndrome in most AIS patients with rare FBN1 variants, one AIS patient not previously suspected of the disorder was diagnosed as a direct result of this study. Because there are treatments available to prevent the life-threatening aortic complications of Marfan syndrome (e.g. losartan) (37,6264), recognition of the disorder can significantly affect patient outcomes. Unfortunately, for AIS patients with FBN1 variants who did not fulfill the diagnostic criteria at the time of examination, the absence of aortic dilation does not conclusively rule out Marfan syndrome and aortic dilation may develop later in life (35). Ongoing screening of all AIS patients with rare FBN1 variants is therefore warranted and is consistent with the current recommendations for patients with FBN1 mutations who do not fulfill diagnostic criteria (30,65). Regardless of the long-term risks associated with rare FBN1 variants, FBN1 sequencing in the AIS population is likely to have clinical value, either as an early indicator of potential Marfan syndrome or as a predictor of progressive AIS.

Congenital contractural arachnodactyly does not appear to be associated with the same risk of life-threatening cardiovascular complications as Marfan syndrome; however, aortic dilation has been described in several patients and echocardiographic evaluations are currently recommended (33). AIS patients with rare FBN2 variants did not receive additional clinical evaluation, but patient histories did not indicate ‘crumpled’ ears, muscular hypoplasia, contractures of the major joints or other features that would be suggestive of congenital contractural arachnodactyly. Moreover, FBN2 mutations causing congenital contractural are limited to exons 23–34 (33), whereas many rare FBN2 variants identified in AIS patients were located outside this region, providing further evidence that unrecognized congenital contractural arachnodactyly is unlikely in these patients.

Although our findings suggest that rare variants in FBN1 and FBN2 are associated with AIS rather than unrecognized Marfan syndrome or congenital contractural arachnodactyly, additional long-term studies of AIS patients with fibrillin abnormalities are needed. Such studies would clarify the potential future complications, if any, associated with rare fibrillin variants and inform the interpretation of incidentally identified FBN1 and FBN2 variants in future diagnostic or research studies.

FBN1 and FBN2 are expressed with significantly overlapping patterns beginning during early development (see review 66) and the biological mechanism leading to scoliosis when FBN1 and FBN2 are mutated remains unclear, even in cases of Marfan syndrome and congenital contractural arachnodactyly. Aberrant activation of the TGF-β pathway has been observed in Marfan syndrome (39) and may be responsible for some of the skeletal features, such as tall stature (67). We found that AIS patients with FBN1 variants were also tall, which suggests that these protein changes also alter TGF-β signaling. We showed upregulation of the TGF-β pathway in paraspinous muscle of three AIS patients with rare FBN1 variants, confirming that at least some of the variants identified in AIS have functional effects. Recent studies have shown that FBN2 also regulates TGF-β signaling (68), but we did not observe upregulation of TGF-β in muscle from an AIS patient with a rare FBN2 variant, suggesting that the variant may not have an effect on this aspect of FBN2 function. Unfortunately, we did not have access to muscle on a larger cohort of AIS patients and further studies will be required to demonstrate more definitively that these gene variants activate the TGF-β pathway. Interestingly, the TGF-β pathway is also upregulated in patients with Loeys–Dietz syndrome (69,70), a disorder that has many overlapping features with Marfan syndrome and congenital arachnodactyly and is highly associated with scoliosis (71). Because scoliosis is a common feature of several Mendelian disorders involving the TGF-β signaling pathway, other genes in the TGF-β pathway may be good candidates for AIS, which is supported by a recent study that identified TGFβ-1 as a novel susceptibility gene for AIS (72). Moreover, an association of TGF-β signaling with AIS could explain why other Marfan-associated features are observed more frequently in AIS patients than in the general population, including tall stature (73), joint hypermobility (74), pectus excavatum (75,76) and dural ectasia (77). Recent studies in mouse models and humans with Marfan syndrome have shown promising developments in therapeutic strategies to reduce the hyper-activated TGF-β pathway, including TGF-β neutralizing antibody and the angiotensin II type 1 receptor blocker, losartan (37,6264). The potential link between AIS and the TGF-β signaling pathway suggests the possibility that drugs like losartan may someday be useful to treat AIS cases in which the TGF-β pathway is activated.

In summary, we demonstrate an important role for FBN1 and FBN2 in AIS pathogenesis. We show that rare variants are enriched in severely affected AIS patients and are significantly associated with curve severity. Because reliable methods for predicting scoliosis progression are not currently available, these results may be useful for patients and families. Furthermore, we show altered TGF-β signaling in AIS patients with fibrillin mutations, which opens up the possibility of novel treatments that have not previously been considered for AIS.

MATERIALS AND METHODS

Patient samples and controls

AIS patients were recruited from St. Louis Children's Hospital, St. Louis Shriners Hospital for Children, the University of Iowa, the University of Colorado and the Chinese University of Hong Kong. All patients had scoliosis of unknown etiology with spinal curves measuring ≥10°. Curve measurements are reported for the largest lateral spinal curve using the Cobb method (78). Patients with developmental delay, multiple congenital anomalies or known underlying medical disorders (e.g. Ehlers–Danlos syndrome, Marfan syndrome) were excluded. We selected 91 unrelated AIS cases of European ancestry with severe deformity (spinal curves measuring ≥40° or requiring surgery) for the exome sequencing screen. Additional AIS cases of European (n = 344), Han Chinese (n = 370) and other ancestries (n = 47) were included in subsequent analyses. DNA was collected from affected probands after obtaining informed consent. Growth parameters were calculated using the National Center for Health Statistics (http://www.cdc.gov/nchs). Systemic features of Marfan syndrome and joint hypermobility were quantified according to the revised Ghent scoring system (35), and the Beighton scoring system (34), respectively, and were obtained in patients without knowledge of genetic sequencing results. A subset of AIS cases were recontacted after FBN1 variants previously identified in individuals with Marfan syndrome or novel variants of uncertain significance were identified as a part of this research study. These cases were referred to clinical geneticists at St. Louis Children's Hospital and St. Louis Shriners Hospital for Children for evaluation of possible Marfan syndrome.

Controls for this study consisted of unrelated healthy individuals or patients with neurological (e.g. Alzheimer's disease) or other musculoskeletal disorders without spine involvement (e.g. limb deformity). For the exome sequencing screen, we selected 337 controls of European ancestry. Additional in-house controls of European (n = 249) or Han Chinese (n = 83) ancestry were included in subsequent analyses. Individuals of European ancestry (n = 4300) were included from the Exome Variant Server, NHLBI GO ESP (http://eversusgs.washington.edu/EVS) public database as an additional control cohort (ESP6500SI-V2). Although controls were unselected for presence of AIS, the frequency of severe AIS (curve >40°) is expected to be low (<0.1%) in the general population (79).

Exon enrichment and sequencing

Exon enrichment was performed using the SureSelect Human All Exon 38 and 50 Mb kits (Agilent Technologies, Santa Clara, CA, USA) or the TruSeq Exome Enrichment kit (Illumina, San Diego, CA, USA). Exome data were extracted from whole genome sequencing in a subset of in-house controls. Samples were sequenced on a Genome Analyzer IIx or HiSeq 2000 sequencer (Illumina) by the Washington University Genome Technology Access Center.

Targeted capture of FBN1 and FBN2

Target enrichment of FBN1 and FBN2 was performed using the MDiGS method (21), which utilizes multiplexed capture (80) with targeted selection using bacterial artificial chromosomes (BACs) (81) and next-generation sequencing. DNA samples (300 ng) were sonicated using a Covaris E210 focus-ultrasonicator (Covaris Inc., Woburn, MA, USA). Samples were indexed using previously described adapter sequences (80). Indexed samples were pooled in batches of 48–96 prior to capture. Four BACs spanning the entire coding regions of FBN1 (RP11-1144G24 [chr15:48 676 783–48 822 143] and RP11-147E14 [chr15:48 822 351–48 985 158]) and FBN2 (RP11-909P14 [chr5:127 567 172–127 756 046] and RP11-351A8 [chr5:127 752 763–127 906 815]) (BACPAC Resources Center, Oakland, CA, USA) were used as baits. BACs were biotinylated using nick translation with biotin-16-dUTP (Roche Applied Science, Penzberg, Germany). Pooled samples were hybridized with biotinylated BACs. Dynabeads M-280 Streptavidin (Life Technologies Co., Carlsbad, CA, USA) were used to isolate BAC-associated DNA. Postcapture, pooled samples were sequenced using a MiSeq Personal Sequencer (Illumina).

Alignment and variant calling

Next generation sequencing reads were aligned to hg19 human reference sequence (Genome Reference Consortium Human Build 37) using Novoalign software (Novocraft Technologies, Selangor, Malaysia). Variant calling and annotation were completed using SAMtools (82) and SeattleSeq Annotation 131 (http://snp.gs.washington.edu/SeattleSeqAnnotation131), respectively. All AIS cases and in-house controls were analyzed using an identical methodology.

Quality control and gene burden analysis

For all analyses, variants were defined as rare when absent from the dbSNP database (build 137). Analysis was restricted to variants altering the coding sequence (nonsense, splice-site, missense and insertion/deletion mutations). We used a collapsing approach to measure gene burden (83). Rare variant burden was quantified as the sum of all variant alleles for each gene divided by the total alleles in the population and is expressed as the cMAF.

For the exome sequencing screen, only AIS cases and in-house controls with ≥90% of the exome covered at ≥8× coverage were included in the analysis. Variant calls were merged at all sites and filtered for sites called in >80% of individuals. Gene burden analysis was performed exome-wide for each gene with at least one variant site.

For gene burden analysis of FBN1 and FBN2 in the larger dataset, more conservative quality thresholds were applied. Only individual samples with ≥95% of FBN1 (NM_000138) or FBN2 (NM_001999) covered at ≥8× read depth were included. Low-quality variants (phred-scaled quality score <30 or genotype quality score <75) were removed. Controls from the ESP were similarly analyzed using build 137 of the dbSNP database as a filter, which does not include individuals from this dataset. In the Han Chinese patient cohort, variants previously identified in dbSNP were excluded from analysis. Variants were also excluded from analysis if identified in Han Chinese controls (n = 83). All rare variants in AIS cases were validated by Sequenom MassARRAY (Sequenom, San Diego, CA, USA) by the Washington University Human Genetics Division of Genotyping Core or by Sanger sequencing using an ABI 3730 Sequencer (Life Technologies). All genotyped variants (n = 32) validated.

Statistical analysis

One-tailed P-values of <0.05 were considered statistically significant. A Fisher's exact test was used for all gene burden analyses. The Shapiro–Wilk test demonstrated non-normally distributed clinical characteristics (P < 0.05); therefore, the Mann–Whitney–Wilcoxon test was used to compare clinical features, except gender and AIS family history, which were compared using a Fisher's exact test. Statistical tests were performed with GraphPad Prism software (http://www.graphpad.com/scientific-software/prism).

Protein immunoblotting

Immunoblotting was performed using paraspinous muscle collected during surgery for scoliosis (AIS and Marfan syndrome) or for a ruptured spinal disc in a patient without scoliosis (unaffected control). All samples were collected from females between 9 and 18 years old. Denatured protein (200 µg) was separated on a 7.5% gel by SDS–PAGE and transferred to a nitrocellulose membrane. Rabbit polyclonal antibody to pSmad2 (1:1000; EMD Millipore Co.) and mouse monoclonal antibody to actin (AC1-20.4.2; 1:2000; Sigma-Aldrich Co.) were used. Chemiluminescent signals in AIS cases and Marfan syndrome were quantified using ImageJ (84). Phospho-SMAD2 signal was normalized to actin and the unaffected control.

SUPPLEMENTARY MATERIAL

Supplementary Material is available at HMG online.

FUNDING

This work was supported by Shriners Hospital for Children (85200-STL to M.B.D.), the Children's Discovery Institute of Washington University and St. Louis Children's Hospital (MD-II-2012-179 to C.A.G.); the National Institute of Health (K12 HD001459-08 to C.A.G., K08NS075094 to M.B.H., R01AG044546 to C.C.); and the Alzheimer Association (NIRG-11-200110 to C.C.).

Supplementary Material

Supplementary Data

ACKNOWLEDGEMENTS

We thank the patients and their families for their role in this work. We also thank Anne Bowcock for helpful discussions. We thank Drs Scott Luhmann, Lawrence Lenke, and Keith Bridwell for allowing us to recruit patients from their clinics at Washington University. We thank the Genome Technology Access Center in the Department of Genetics at Washington University School of Medicine for help with genomic analysis. The Center is partially supported by NCI Cancer Center Support Grant #P30 CA91842 to the Siteman Cancer Center and by ICTS/CTSA Grant #UL1RR024992 from the National Center for Research Resources (NCRR), a component of the NIH and NIH Roadmap for Medical Research. The authors thank the NHLBI GO ESP and its ongoing studies which produced and provided exome variant calls for comparison: the Lung GO Sequencing Project (HL-102923), the WHI Sequencing Project (HL-102924), the Broad GO Sequencing Project (HL-102925), the Seattle GO Sequencing Project (HL-102926) and the Heart GO Sequencing Project (HL-103010). This publication is solely the responsibility of the authors and does not necessarily represent the official view of NCRR or NIH.

Conflict of Interest statement. None declared.

REFERENCES

  • 1.Weinstein S.L., Dolan L.A., Wright J.G., Dobbs M.B. Effects of bracing in adolescents with idiopathic scoliosis. N. Engl. J. Med. 2013;369:1512–1521. doi: 10.1056/NEJMoa1307337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Jacobs J.J., Andersson G.B.J., Bell J., Weinstein S.L., Dormans J.P., Furman M.B., Lane N., Puzas J.E., St. Clair E.W., Yelin E.H. The Burden of Musculoskeletal Diseases in the United States. Rosemont, IL: American Academy of Orthopaedic Surgeons American Academy of Physical Medicine and Rehabilitation, American College of Rheumatology, American Society for Bone and Mineral Research, Arthritis Foundation, National University of Health Sciences, Orthopaedic Research Society, Scoliosis Research Society, and the United States Bone and Joint Initiative; 2011. [Google Scholar]
  • 3.Kesling K.L., Reinker K.A. Scoliosis in twins. A meta-analysis of the literature and report of six cases. Spine (Phila Pa 1976) 1997;22:2009–2014. doi: 10.1097/00007632-199709010-00014. discussion 2015. [DOI] [PubMed] [Google Scholar]
  • 4.Wynne-Davies R. Familial (idiopathic) scoliosis. A family survey. J. Bone Joint Surg. Br. 1968;50:24–30. [PubMed] [Google Scholar]
  • 5.Riseborough E.J., Wynne-Davies R. A genetic survey of idiopathic scoliosis in Boston, Massachusetts. J. Bone Joint Surg. Am. 1973;55:974–982. [PubMed] [Google Scholar]
  • 6.Miller N.H. Genetics of familial idiopathic scoliosis. Clin. Orthop. Relat. Res. 2007;462:6–10. doi: 10.1097/BLO.0b013e318126c062. [DOI] [PubMed] [Google Scholar]
  • 7.Ward K., Ogilvie J., Argyle V., Nelson L., Meade M., Braun J., Chettier R. Polygenic inheritance of adolescent idiopathic scoliosis: a study of extended families in Utah. Am. J. Med. Genet. A. 2010;152A:1178–1188. doi: 10.1002/ajmg.a.33145. [DOI] [PubMed] [Google Scholar]
  • 8.Kruse L.M., Buchan J.G., Gurnett C.A., Dobbs M.B. Polygenic threshold model with sex dimorphism in adolescent idiopathic scoliosis: the Carter effect. J. Bone Joint Surg. Am. 2012;94:1485–1491. doi: 10.2106/JBJS.K.01450. [DOI] [PubMed] [Google Scholar]
  • 9.Kouwenhoven J.W., Castelein R.M. The pathogenesis of adolescent idiopathic scoliosis: review of the literature. Spine (Phila Pa 1976) 2008;33:2898–2908. doi: 10.1097/BRS.0b013e3181891751. [DOI] [PubMed] [Google Scholar]
  • 10.Miller N.H. Idiopathic scoliosis: cracking the genetic code and what does it mean? J. Pediatr. Orthop. 2011;31:S49–S52. doi: 10.1097/BPO.0b013e318202bfe2. [DOI] [PubMed] [Google Scholar]
  • 11.Cheng J.C., Tang N.L., Yeung H.Y., Miller N. Genetic association of complex traits: using idiopathic scoliosis as an example. Clin. Orthop. Relat. Res. 2007;462:38–44. doi: 10.1097/BLO.0b013e3180d09dcc. [DOI] [PubMed] [Google Scholar]
  • 12.Gorman K.F., Julien C., Moreau A. The genetic epidemiology of idiopathic scoliosis. Eur. Spine J. 2012;21:1905–1919. doi: 10.1007/s00586-012-2389-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Sharma S., Gao X., Londono D., Devroy S.E., Mauldin K.N., Frankel J.T., Brandon J.M., Zhang D., Li Q.Z., Dobbs M.B., et al. Genome-wide association studies of adolescent idiopathic scoliosis suggest candidate susceptibility genes. Hum. Mol. Genet. 2011;20:1456–1466. doi: 10.1093/hmg/ddq571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Takahashi Y., Kou I., Takahashi A., Johnson T.A., Kono K., Kawakami N., Uno K., Ito M., Minami S., Yanagida H., et al. A genome-wide association study identifies common variants near LBX1 associated with adolescent idiopathic scoliosis. Nat. Genet. 2011;43:1237–1240. doi: 10.1038/ng.974. [DOI] [PubMed] [Google Scholar]
  • 15.Kou I., Takahashi Y., Johnson T.A., Takahashi A., Guo L., Dai J., Qiu X., Sharma S., Takimoto A., Ogura Y., et al. Genetic variants in GPR126 are associated with adolescent idiopathic scoliosis. Nat. Genet. 2013;45:676–679. doi: 10.1038/ng.2639. [DOI] [PubMed] [Google Scholar]
  • 16.Manolio T.A., Collins F.S., Cox N.J., Goldstein D.B., Hindorff L.A., Hunter D.J., McCarthy M.I., Ramos E.M., Cardon L.R., Chakravarti A., et al. Finding the missing heritability of complex diseases. Nature. 2009;461:747–753. doi: 10.1038/nature08494. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.McCarthy M.I., Abecasis G.R., Cardon L.R., Goldstein D.B., Little J., Ioannidis J.P., Hirschhorn J.N. Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nat. Rev. Genet. 2008;9:356–369. doi: 10.1038/nrg2344. [DOI] [PubMed] [Google Scholar]
  • 18.Lenke L. Idiopathic Scoliosis. Philadelphia: Lippincot, Williams & Wilkins; 2004. p. 3. [Google Scholar]
  • 19.Sponseller P.D., Hobbs W., Riley L.H., III, Pyeritz R.E. The thoracolumbar spine in Marfan syndrome. J. Bone Joint Surg. Am. 1995;77:867–876. doi: 10.2106/00004623-199506000-00007. [DOI] [PubMed] [Google Scholar]
  • 20.Ramos Arroyo M.A., Weaver D.D., Beals R.K. Congenital contractural arachnodactyly. Report of four additional families and review of literature. Clin. Genet. 1985;27:570–581. doi: 10.1111/j.1399-0004.1985.tb02042.x. [DOI] [PubMed] [Google Scholar]
  • 21.Alvarado D.M., Yang P., Druley T.E., Lovett M., Gurnett C.A. Multiplexed direct genomic selection (MDiGS): a pooled BAC capture approach for highly accurate CNV and SNP/INDEL detection. Nucleic Acids Res. 2014 doi: 10.1093/nar/gku218. doi:10.1093/nar/gku218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Isogai Z., Ono R.N., Ushiro S., Keene D.R., Chen Y., Mazzieri R., Charbonneau N.L., Reinhardt D.P., Rifkin D.B., Sakai L.Y. Latent transforming growth factor beta-binding protein 1 interacts with fibrillin and is a microfibril-associated protein. J. Biol. Chem. 2003;278:2750–2757. doi: 10.1074/jbc.M209256200. [DOI] [PubMed] [Google Scholar]
  • 23.Beroud C., Collod-Beroud G., Boileau C., Soussi T., Junien C. UMD (Universal mutation database): a generic software to build and analyze locus-specific databases. Hum. Mutat. 2000;15:86–94. doi: 10.1002/(SICI)1098-1004(200001)15:1<86::AID-HUMU16>3.0.CO;2-4. [DOI] [PubMed] [Google Scholar]
  • 24.Rommel K., Karck M., Haverich A., von Kodolitsch Y., Rybczynski M., Muller G., Singh K.K., Schmidtke J., Arslan-Kirchner M. Identification of 29 novel and nine recurrent fibrillin-1 (FBN1) mutations and genotype-phenotype correlations in 76 patients with Marfan syndrome. Hum. Mutat. 2005;26:529–539. doi: 10.1002/humu.20239. [DOI] [PubMed] [Google Scholar]
  • 25.Sheikhzadeh S., Kade C., Keyser B., Stuhrmann M., Arslan-Kirchner M., Rybczynski M., Bernhardt A.M., Habermann C.R., Hillebrand M., Mir T., et al. Analysis of phenotype and genotype information for the diagnosis of Marfan syndrome. Clin. Genet. 2012;82:240–247. doi: 10.1111/j.1399-0004.2011.01771.x. [DOI] [PubMed] [Google Scholar]
  • 26.Loeys B., Nuytinck L., Delvaux I., De Bie S., De Paepe A. Genotype and phenotype analysis of 171 patients referred for molecular study of the fibrillin-1 gene FBN1 because of suspected Marfan syndrome. Arch. Intern. Med. 2001;161:2447–2454. doi: 10.1001/archinte.161.20.2447. [DOI] [PubMed] [Google Scholar]
  • 27.Liu W.O., Oefner P.J., Qian C., Odom R.S., Francke U. Denaturing HPLC-identified novel FBN1 mutations, polymorphisms, and sequence variants in Marfan syndrome and related connective tissue disorders. Genet. Test. 1997;1:237–242. doi: 10.1089/gte.1997.1.237. [DOI] [PubMed] [Google Scholar]
  • 28.Putnam E.A., Cho M., Zinn A.B., Towbin J.A., Byers P.H., Milewicz D.M. Delineation of the Marfan phenotype associated with mutations in exons 23–32 of the FBN1 gene. Am. J. Med. Genet. 1996;62:233–242. doi: 10.1002/(SICI)1096-8628(19960329)62:3<233::AID-AJMG7>3.0.CO;2-U. [DOI] [PubMed] [Google Scholar]
  • 29.Faivre L., Collod-Beroud G., Loeys B.L., Child A., Binquet C., Gautier E., Callewaert B., Arbustini E., Mayer K., Arslan-Kirchner M., et al. Effect of mutation type and location on clinical outcome in 1,013 probands with Marfan syndrome or related phenotypes and FBN1 mutations: an international study. Am. J. Hum. Genet. 2007;81:454–466. doi: 10.1086/520125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Sheikhzadeh S., Kade C., Keyser B., Stuhrmann M., Arslan-Kirchner M., Rybczynski M., Bernhardt A., Habermann C., Hillebrand M., Mir T., et al. Analysis of phenotype and genotype information for the diagnosis of Marfan syndrome. Clin. Genet. 2011;82:240–247. doi: 10.1111/j.1399-0004.2011.01771.x. [DOI] [PubMed] [Google Scholar]
  • 31.Comeglio P., Johnson P., Arno G., Brice G., Evans A., Aragon-Martin J., da Silva F.P., Kiotsekoglou A., Child A. The importance of mutation detection in Marfan syndrome and Marfan-related disorders: report of 193 FBN1 mutations. Hum. Mutat. 2007;28:928. doi: 10.1002/humu.9505. [DOI] [PubMed] [Google Scholar]
  • 32.Hung C.C., Lin S.Y., Lee C.N., Cheng H.Y., Lin S.P., Chen M.R., Chen C.P., Chang C.H., Lin C.Y., Yu C.C., et al. Mutation spectrum of the fibrillin-1 (FBN1) gene in Taiwanese patients with Marfan syndrome. Ann. Hum. Genet. 2009;73:559–567. doi: 10.1111/j.1469-1809.2009.00545.x. [DOI] [PubMed] [Google Scholar]
  • 33.Callewaert B.L., Loeys B.L., Ficcadenti A., Vermeer S., Landgren M., Kroes H.Y., Yaron Y., Pope M., Foulds N., Boute O., et al. Comprehensive clinical and molecular assessment of 32 probands with congenital contractural arachnodactyly: report of 14 novel mutations and review of the literature. Hum. Mutat. 2009;30:334–341. doi: 10.1002/humu.20854. [DOI] [PubMed] [Google Scholar]
  • 34.Beighton P., Horan F. Orthopaedic aspects of the Ehlers-Danlos syndrome. J. Bone Joint Surg. Br. 1969;51:444–453. [PubMed] [Google Scholar]
  • 35.Loeys B.L., Dietz H.C., Braverman A.C., Callewaert B.L., De Backer J., Devereux R.B., Hilhorst-Hofstee Y., Jondeau G., Faivre L., Milewicz D.M., et al. The revised Ghent nosology for the Marfan syndrome. J. Med. Genet. 2010;47:476–485. doi: 10.1136/jmg.2009.072785. [DOI] [PubMed] [Google Scholar]
  • 36.Green R.C., Berg J.S., Grody W.W., Kalia S.S., Korf B.R., Martin C.L., McGuire A.L., Nussbaum R.L., O'Daniel J.M., Ormond K.E., et al. ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet. Med. 2013;15:565–574. doi: 10.1038/gim.2013.73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Neptune E.R., Frischmeyer P.A., Arking D.E., Myers L., Bunton T.E., Gayraud B., Ramirez F., Sakai L.Y., Dietz H.C. Dysregulation of TGF-beta activation contributes to pathogenesis in Marfan syndrome. Nat. Genet. 2003;33:407–411. doi: 10.1038/ng1116. [DOI] [PubMed] [Google Scholar]
  • 38.Ng C.M., Cheng A., Myers L.A., Martinez-Murillo F., Jie C., Bedja D., Gabrielson K.L., Hausladen J.M., Mecham R.P., Judge D.P., et al. TGF-beta-dependent pathogenesis of mitral valve prolapse in a mouse model of Marfan syndrome. J. Clin. Invest. 2004;114:1586–1592. doi: 10.1172/JCI22715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Matt P., Schoenhoff F., Habashi J., Holm T., Van Erp C., Loch D., Carlson O.D., Griswold B.F., Fu Q., De Backer J., et al. Circulating transforming growth factor-beta in Marfan syndrome. Circulation. 2009;120:526–532. doi: 10.1161/CIRCULATIONAHA.108.841981. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Kim K.L., Yang J.H., Song S.H., Kim J.Y., Jang S.Y., Kim J.M., Kim J.A., Sung K.I., Kim Y.W., Suh Y.L., et al. Positive correlation between the dysregulation of transforming growth factor-beta(1) and aneurysmal pathological changes in patients with Marfan syndrome. Circ. J. 2012;77:952–958. doi: 10.1253/circj.cj-12-0874. [DOI] [PubMed] [Google Scholar]
  • 41.Dietz H.C., Cutting G.R., Pyeritz R.E., Maslen C.L., Sakai L.Y., Corson G.M., Puffenberger E.G., Hamosh A., Nanthakumar E.J., Curristin S.M., et al. Marfan syndrome caused by a recurrent de novo missense mutation in the fibrillin gene. Nature. 1991;352:337–339. doi: 10.1038/352337a0. [DOI] [PubMed] [Google Scholar]
  • 42.Keane M.G., Pyeritz R.E. Medical management of Marfan syndrome. Circulation. 2008;117:2802–2813. doi: 10.1161/CIRCULATIONAHA.107.693523. [DOI] [PubMed] [Google Scholar]
  • 43.Ades L.C., Holman K.J., Brett M.S., Edwards M.J., Bennetts B. Ectopia lentis phenotypes and the FBN1 gene. Am. J. Med. Genet. A. 2004;126A:284–289. doi: 10.1002/ajmg.a.20605. [DOI] [PubMed] [Google Scholar]
  • 44.Brautbar A., LeMaire S.A., Franco L.M., Coselli J.S., Milewicz D.M., Belmont J.W. FBN1 mutations in patients with descending thoracic aortic dissections. Am. J. Med. Genet. A. 2010;152A:413–416. doi: 10.1002/ajmg.a.32856. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Francke U., Berg M.A., Tynan K., Brenn T., Liu W., Aoyama T., Gasner C., Miller D.C., Furthmayr H. A Gly1127Ser mutation in an EGF-like domain of the fibrillin-1 gene is a risk factor for ascending aortic aneurysm and dissection. Am. J. Hum. Genet. 1995;56:1287–1296. [PMC free article] [PubMed] [Google Scholar]
  • 46.Milewicz D.M., Michael K., Fisher N., Coselli J.S., Markello T., Biddinger A. Fibrillin-1 (FBN1) mutations in patients with thoracic aortic aneurysms. Circulation. 1996;94:2708–2711. doi: 10.1161/01.cir.94.11.2708. [DOI] [PubMed] [Google Scholar]
  • 47.Lemaire S.A., McDonald M.L., Guo D.C., Russell L., Miller C.C., 3rd, Johnson R.J., Bekheirnia M.R., Franco L.M., Nguyen M., Pyeritz R.E., et al. Genome-wide association study identifies a susceptibility locus for thoracic aortic aneurysms and aortic dissections spanning FBN1 at 15q21.1. Nat. Genet. 2011;43:996–1000. doi: 10.1038/ng.934. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Sood S., Eldadah Z.A., Krause W.L., McIntosh I., Dietz H.C. Mutation in fibrillin-1 and the Marfanoid-craniosynostosis (Shprintzen-Goldberg) syndrome. Nat. Genet. 1996;12:209–211. doi: 10.1038/ng0296-209. [DOI] [PubMed] [Google Scholar]
  • 49.Faivre L., Gorlin R.J., Wirtz M.K., Godfrey M., Dagoneau N., Samples J.R., Le Merrer M., Collod-Beroud G., Boileau C., Munnich A., et al. In frame fibrillin-1 gene deletion in autosomal dominant Weill-Marchesani syndrome. J. Med. Genet. 2003;40:34–36. doi: 10.1136/jmg.40.1.34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Le Goff C., Mahaut C., Wang L.W., Allali S., Abhyankar A., Jensen S., Zylberberg L., Collod-Beroud G., Bonnet D., Alanay Y., et al. Mutations in the TGFbeta binding-protein-like domain 5 of FBN1 are responsible for acromicric and geleophysic dysplasias. Am. J. Hum. Genet. 2011;89:7–14. doi: 10.1016/j.ajhg.2011.05.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Loeys B.L., Gerber E.E., Riegert-Johnson D., Iqbal S., Whiteman P., McConnell V., Chillakuri C.R., Macaya D., Coucke P.J., De Paepe A., et al. Mutations in fibrillin-1 cause congenital scleroderma: stiff skin syndrome. Sci. Transl. Med. 2010;2:23ra20. doi: 10.1126/scitranslmed.3000488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Rybczynski M., Bernhardt A.M., Rehder U., Fuisting B., Meiss L., Voss U., Habermann C., Detter C., Robinson P.N., Arslan-Kirchner M., et al. The spectrum of syndromes and manifestations in individuals screened for suspected Marfan syndrome. Am. J. Med. Genet. A. 2008;146A:3157–3166. doi: 10.1002/ajmg.a.32595. [DOI] [PubMed] [Google Scholar]
  • 53.Putnam E.A., Zhang H., Ramirez F., Milewicz D.M. Fibrillin-2 (FBN2) mutations result in the Marfan-like disorder, congenital contractural arachnodactyly. Nat. Genet. 1995;11:456–458. doi: 10.1038/ng1295-456. [DOI] [PubMed] [Google Scholar]
  • 54.Ades L.C., Sreetharan D., Onikul E., Stockton V., Watson K.C., Holman K.J. Segregation of a novel FBN1 gene mutation, G1796E, with kyphoscoliosis and radiographic evidence of vertebral dysplasia in three generations. Am. J. Med. Genet. 2002;109:261–270. doi: 10.1002/ajmg.10333. [DOI] [PubMed] [Google Scholar]
  • 55.Milewicz D.M., Grossfield J., Cao S.N., Kielty C., Covitz W., Jewett T. A mutation in FBN1 disrupts profibrillin processing and results in isolated skeletal features of the Marfan syndrome. J. Clin. Invest. 1995;95:2373–2378. doi: 10.1172/JCI117930. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Hadley-Miller N., Mims B., Milewicz D.M. The potential role of the elastic fiber system in adolescent idiopathic scoliosis. J. Bone Joint Surg. Am. 1994;76:1193–1206. doi: 10.2106/00004623-199408000-00010. [DOI] [PubMed] [Google Scholar]
  • 57.Miller N.H., Mims B., Child A., Milewicz D.M., Sponseller P., Blanton S.H. Genetic analysis of structural elastic fiber and collagen genes in familial adolescent idiopathic scoliosis. J. Orthop. Res. 1996;14:994–999. doi: 10.1002/jor.1100140621. [DOI] [PubMed] [Google Scholar]
  • 58.Danielsson A.J., Hasserius R., Ohlin A., Nachemson A.L. A prospective study of brace treatment versus observation alone in adolescent idiopathic scoliosis: a follow-up mean of 16 years after maturity. Spine (Phila Pa 1976) 2007;32:2198–2207. doi: 10.1097/BRS.0b013e31814b851f. [DOI] [PubMed] [Google Scholar]
  • 59.Sanders J.O., Newton P.O., Browne R.H., Herring A.J. Bracing in adolescent idiopathic scoliosis, surrogate outcomes, and the number needed to treat. J. Pediatr. Orthop. 2012;32(Suppl. 2):S153–S157. doi: 10.1097/BPO.0b013e31825199e5. [DOI] [PubMed] [Google Scholar]
  • 60.Lipton G.E., Guille J.T., Kumar S.J. Surgical treatment of scoliosis in Marfan syndrome: guidelines for a successful outcome. J. Pediatr. Orthop. 2002;22:302–307. [PubMed] [Google Scholar]
  • 61.Sponseller P.D., Bhimani M., Solacoff D., Dormans J.P. Results of brace treatment of scoliosis in Marfan syndrome. Spine (Phila Pa 1976) 2000;25:2350–2354. doi: 10.1097/00007632-200009150-00013. [DOI] [PubMed] [Google Scholar]
  • 62.Habashi J.P., Judge D.P., Holm T.M., Cohn R.D., Loeys B.L., Cooper T.K., Myers L., Klein E.C., Liu G., Calvi C., et al. Losartan, an AT1 antagonist, prevents aortic aneurysm in a mouse model of Marfan syndrome. Science. 2006;312:117–121. doi: 10.1126/science.1124287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Brooke B.S., Habashi J.P., Judge D.P., Patel N., Loeys B., Dietz H.C., 3rd Angiotensin II blockade and aortic-root dilation in Marfan's syndrome. N. Engl. J. Med. 2008;358:2787–2795. doi: 10.1056/NEJMoa0706585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Groenink M., den Hartog A.W., Franken R., Radonic T., de Waard V., Timmermans J., Scholte A.J., van den Berg M.P., Spijkerboer A.M., Marquering H.A., et al. Losartan reduces aortic dilatation rate in adults with Marfan syndrome: a randomized controlled trial. Eur. Heart J. 2013;34:3491–3500. doi: 10.1093/eurheartj/eht334. [DOI] [PubMed] [Google Scholar]
  • 65.Detaint D., Faivre L., Collod-Beroud G., Child A.H., Loeys B.L., Binquet C., Gautier E., Arbustini E., Mayer K., Arslan-Kirchner M., et al. Cardiovascular manifestations in men and women carrying a FBN1 mutation. Eur. Heart J. 2010;31:2223–2229. doi: 10.1093/eurheartj/ehq258. [DOI] [PubMed] [Google Scholar]
  • 66.Davis M.R., Summers K.M. Structure and function of the mammalian fibrillin gene family: implications for human connective tissue diseases. Mol. Genet. Metab. 2012;107:635–647. doi: 10.1016/j.ymgme.2012.07.023. [DOI] [PubMed] [Google Scholar]
  • 67.Le Goff C., Cormier-Daire V. From tall to short: the role of TGFbeta signaling in growth and its disorders. Am. J. Med. Genet. C Semin. Med. Genet. 2012;160C:145–153. doi: 10.1002/ajmg.c.31337. [DOI] [PubMed] [Google Scholar]
  • 68.Nistala H., Lee-Arteaga S., Smaldone S., Siciliano G., Carta L., Ono R.N., Sengle G., Arteaga-Solis E., Levasseur R., Ducy P., et al. Fibrillin-1 and -2 differentially modulate endogenous TGF-beta and BMP bioavailability during bone formation. J. Cell Biol. 2010;190:1107–1121. doi: 10.1083/jcb.201003089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Maleszewski J.J., Miller D.V., Lu J., Dietz H.C., Halushka M.K. Histopathologic findings in ascending aortas from individuals with Loeys-Dietz syndrome (LDS) Am. J. Surg. Pathol. 2009;33:194–201. doi: 10.1097/PAS.0b013e31817f3661. [DOI] [PubMed] [Google Scholar]
  • 70.Loeys B.L., Chen J., Neptune E.R., Judge D.P., Podowski M., Holm T., Meyers J., Leitch C.C., Katsanis N., Sharifi N., et al. A syndrome of altered cardiovascular, craniofacial, neurocognitive and skeletal development caused by mutations in TGFBR1 or TGFBR2. Nat. Genet. 2005;37:275–281. doi: 10.1038/ng1511. [DOI] [PubMed] [Google Scholar]
  • 71.Erkula G., Sponseller P.D., Paulsen L.C., Oswald G.L., Loeys B.L., Dietz H.C. Musculoskeletal findings of Loeys-Dietz syndrome. J. Bone Joint Surg. Am. 2010;92:1876–1883. doi: 10.2106/JBJS.I.01140. [DOI] [PubMed] [Google Scholar]
  • 72.Ryzhkov II, Borzilov E.E., Churnosov M.I.P., Ataman A.V.P., Dedkov A.A., Polonikov A.V.P. Transforming growth factor beta 1 is a novel susceptibility gene for adolescent idiopathic scoliosis. Spine. 2013;38:E699–E704. doi: 10.1097/BRS.0b013e31828de9e1. [DOI] [PubMed] [Google Scholar]
  • 73.Yim A.P., Yeung H.Y., Hung V.W., Lee K.M., Lam T.P., Ng B.K., Qiu Y., Cheng J.C. Abnormal skeletal growth patterns in adolescent idiopathic scoliosis – a longitudinal study until skeletal maturity. Spine (Phila Pa 1976) 2012;37:E1148–E1154. doi: 10.1097/BRS.0b013e31825c036d. [DOI] [PubMed] [Google Scholar]
  • 74.Czaprowski D., Kotwicki T., Pawlowska P., Stolinski L. Joint hypermobility in children with idiopathic scoliosis: SOSORT award 2011 winner. Scoliosis. 2011;6:22. doi: 10.1186/1748-7161-6-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Gurnett C.A., Alaee F., Bowcock A., Kruse L., Lenke L.G., Bridwell K.H., Kuklo T., Luhmann S.J., Dobbs M.B. Genetic linkage localizes an adolescent idiopathic scoliosis and pectus excavatum gene to chromosome 18 q. Spine (Phila Pa 1976) 2009;34:E94–E100. doi: 10.1097/BRS.0b013e31818b88a5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Hong J.Y., Suh S.W., Park H.J., Kim Y.H., Park J.H., Park S.Y. Correlations of adolescent idiopathic scoliosis and pectus excavatum. J. Pediatr. Orthop. 2011;31:870–874. doi: 10.1097/BPO.0b013e31822da7d5. [DOI] [PubMed] [Google Scholar]
  • 77.Abul-Kasim K., Overgaard A., Ohlin A. Dural ectasia in adolescent idiopathic scoliosis: quantitative assessment on magnetic resonance imaging. Eur. Spine J. 2010;19:754–759. doi: 10.1007/s00586-010-1355-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Cobb J.R. Outline for the study of scoliosis. Instr. Course Lect. 1948;5:261–265. [Google Scholar]
  • 79.American Association of Orthopaedic Surgeons. Burden of Musculoskeletal Diseases in the United States: Prevalence, Societal and Economic Cost. Rosemont, IL: American Academy of Orthopaedic Surgeons; 2011. [Google Scholar]
  • 80.Ramos E., Levinson B.T., Chasnoff S., Hughes A., Young A.L., Thornton K., Li A., Vallania F.L., Province M., Druley T.E. Population-based rare variant detection via pooled exome or custom hybridization capture with or without individual indexing. BMC Genomics. 2012;13:683. doi: 10.1186/1471-2164-13-683. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Bashiardes S., Veile R., Helms C., Mardis E.R., Bowcock A.M., Lovett M. Direct genomic selection. Nat. Methods. 2005;2:63–69. doi: 10.1038/nmeth0105-63. [DOI] [PubMed] [Google Scholar]
  • 82.Li H., Handsaker B., Wysoker A., Fennell T., Ruan J., Homer N., Marth G., Abecasis G., Durbin R. Genome Project Data Processing, S. The sequence alignment/map format and SAMtools. Bioinformatics. 2009;25:2078–2079. doi: 10.1093/bioinformatics/btp352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Li B., Leal S.M. Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data. Am. J. Hum. Genet. 2008;83:311–321. doi: 10.1016/j.ajhg.2008.06.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Schneider C.A., Rasband W.S., Eliceiri K.W. NIH image to ImageJ: 25 years of image analysis. Nat. Methods. 2012;9:671–675. doi: 10.1038/nmeth.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]

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