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Genome-wide compound heterozygote analysis highlights alleles associated with adult height in Europeans
Adult height is the most widely genetically studied common trait in humans; however, the trait variance explainable by currently known height-associated single nucleotide polymorphisms (SNPs) identified from the previous genome-wide association studies (GWAS) is yet far from complete given the high...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702380/ https://www.ncbi.nlm.nih.gov/pubmed/28921393 http://dx.doi.org/10.1007/s00439-017-1842-3 |
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author | Zhong, Kaiyin Zhu, Gu Jing, Xiaoxi Hendriks, A. Emile J. Drop, Sten L. S. Ikram, M. Arfan Gordon, Scott Zeng, Changqing Uitterlinden, Andre G. Martin, Nicholas G. Liu, Fan Kayser, Manfred |
author_facet | Zhong, Kaiyin Zhu, Gu Jing, Xiaoxi Hendriks, A. Emile J. Drop, Sten L. S. Ikram, M. Arfan Gordon, Scott Zeng, Changqing Uitterlinden, Andre G. Martin, Nicholas G. Liu, Fan Kayser, Manfred |
author_sort | Zhong, Kaiyin |
collection | PubMed |
description | Adult height is the most widely genetically studied common trait in humans; however, the trait variance explainable by currently known height-associated single nucleotide polymorphisms (SNPs) identified from the previous genome-wide association studies (GWAS) is yet far from complete given the high heritability of this complex trait. To exam if compound heterozygotes (CH) may explain extra height variance, we conducted a genome-wide analysis to screen for CH in association with adult height in 10,631 Dutch Europeans enriched with extremely tall people, using our recently developed method implemented in the software package CollapsABEL. The analysis identified six regions (3q23, 5q35.1, 6p21.31, 6p21.33, 7q21.2, and 9p24.3), where multiple pairs of SNPs as CH showed genome-wide significant association with height (P < 1.67 × 10(−10)). Of those, 9p24.3 represents a novel region influencing adult height, whereas the others have been highlighted in the previous GWAS on height based on analysis of individual SNPs. A replication analysis in 4080 Australians of European ancestry confirmed the significant CH-like association at 9p24.3 (P < 0.05). Together, the collapsed genotypes at these six loci explained 2.51% of the height variance (after adjusting for sex and age), compared with 3.23% explained by the 14 top-associated SNPs at 14 loci identified by traditional GWAS in the same data set (P < 5 × 10(−8)). Overall, our study empirically demonstrates that CH plays an important role in adult height and may explain a proportion of its “missing heritability”. Moreover, our findings raise promising expectations for other highly polygenic complex traits to explain missing heritability identifiable through CH-like associations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00439-017-1842-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5702380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-57023802017-12-04 Genome-wide compound heterozygote analysis highlights alleles associated with adult height in Europeans Zhong, Kaiyin Zhu, Gu Jing, Xiaoxi Hendriks, A. Emile J. Drop, Sten L. S. Ikram, M. Arfan Gordon, Scott Zeng, Changqing Uitterlinden, Andre G. Martin, Nicholas G. Liu, Fan Kayser, Manfred Hum Genet Original Investigation Adult height is the most widely genetically studied common trait in humans; however, the trait variance explainable by currently known height-associated single nucleotide polymorphisms (SNPs) identified from the previous genome-wide association studies (GWAS) is yet far from complete given the high heritability of this complex trait. To exam if compound heterozygotes (CH) may explain extra height variance, we conducted a genome-wide analysis to screen for CH in association with adult height in 10,631 Dutch Europeans enriched with extremely tall people, using our recently developed method implemented in the software package CollapsABEL. The analysis identified six regions (3q23, 5q35.1, 6p21.31, 6p21.33, 7q21.2, and 9p24.3), where multiple pairs of SNPs as CH showed genome-wide significant association with height (P < 1.67 × 10(−10)). Of those, 9p24.3 represents a novel region influencing adult height, whereas the others have been highlighted in the previous GWAS on height based on analysis of individual SNPs. A replication analysis in 4080 Australians of European ancestry confirmed the significant CH-like association at 9p24.3 (P < 0.05). Together, the collapsed genotypes at these six loci explained 2.51% of the height variance (after adjusting for sex and age), compared with 3.23% explained by the 14 top-associated SNPs at 14 loci identified by traditional GWAS in the same data set (P < 5 × 10(−8)). Overall, our study empirically demonstrates that CH plays an important role in adult height and may explain a proportion of its “missing heritability”. Moreover, our findings raise promising expectations for other highly polygenic complex traits to explain missing heritability identifiable through CH-like associations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00439-017-1842-3) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-09-18 2017 /pmc/articles/PMC5702380/ /pubmed/28921393 http://dx.doi.org/10.1007/s00439-017-1842-3 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Investigation Zhong, Kaiyin Zhu, Gu Jing, Xiaoxi Hendriks, A. Emile J. Drop, Sten L. S. Ikram, M. Arfan Gordon, Scott Zeng, Changqing Uitterlinden, Andre G. Martin, Nicholas G. Liu, Fan Kayser, Manfred Genome-wide compound heterozygote analysis highlights alleles associated with adult height in Europeans |
title | Genome-wide compound heterozygote analysis highlights alleles associated with adult height in Europeans |
title_full | Genome-wide compound heterozygote analysis highlights alleles associated with adult height in Europeans |
title_fullStr | Genome-wide compound heterozygote analysis highlights alleles associated with adult height in Europeans |
title_full_unstemmed | Genome-wide compound heterozygote analysis highlights alleles associated with adult height in Europeans |
title_short | Genome-wide compound heterozygote analysis highlights alleles associated with adult height in Europeans |
title_sort | genome-wide compound heterozygote analysis highlights alleles associated with adult height in europeans |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702380/ https://www.ncbi.nlm.nih.gov/pubmed/28921393 http://dx.doi.org/10.1007/s00439-017-1842-3 |
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