Abstract
Height is a highly heritable trait that involves multiple genetic loci. To identify causal variants that influence stature, we sequenced whole exomes of four children with idiopathic short stature. Ninety-five nonsynonymous single-nucleotide polymorphisms (nsSNPs) were selected as potential candidate variants. We performed association analysis in 740 cohort individuals and identified 11 nsSNPs in 10 loci (DIS3L2, ZBTB38, FAM154A, PTCH1, TSSC4, KIF18A, GPR133, ACAN, FAM59A, and NINL) associated with adult height (P < 0.05), including five novel loci. Of these, two nsSNPs (TSSC4 and KIF18A loci) were significant at P < 0.05 in the replication study (n = 1,000) and five (ZBTB38, FAM154A, TSSC4, KIF18A, and FAM59A loci) were significant at P < 0.01 in the combined analysis (n = 1,740). Together, the five nsSNPs accounted for approximately 2.5% of the height variation. This study demonstrated the utility of next-generation sequencing in identifying genetic variants and loci associated with complex traits.
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Abbreviations
- CI:
-
Confidence interval
- GWA:
-
Genome-wide association
- HV:
-
Height velocity
- ISS:
-
Idiopathic short stature
- MA:
-
Monomelic amyotrophy
- MAF:
-
Minor allele frequency
- NS:
-
Noonan syndrome
- OR:
-
Odds ratio
- SD:
-
Standard deviations
- SDS:
-
Standard deviation score
- SE:
-
Standard error
- SNP:
-
Single nucleotide polymorphism
- SNV:
-
Single-nucleotide variant
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Acknowledgments
This work was supported by a grant from the Korea Science and Engineering Foundation (KOSEF) funded by the Korean government (MEST) (No. 2010-0016542), a grant from the Ministry of Health & Welfare of the Republic of Korea (A010384), and a grant from the Korea Centers for the Disease Control and Prevention (2009-N72001-00). Jae-Jung Kim was supported by National Research Foundation of Korea Grant funded by the Korean Government (Ministry of Education, Science and Technology; NRF-2011-355-C00109).
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H.-W. Yoo, K. Park and J.-K. Lee contributed equally to this work.
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Kim, JJ., Park, YM., Baik, KH. et al. Exome sequencing and subsequent association studies identify five amino acid-altering variants influencing human height. Hum Genet 131, 471–478 (2012). https://doi.org/10.1007/s00439-011-1096-4
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DOI: https://doi.org/10.1007/s00439-011-1096-4