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Quantifying genetic heterogeneity between continental populations for human height and body mass index
Genome-wide association studies (GWAS) in samples of European ancestry have identified thousands of genetic variants associated with complex traits in humans. However, it remains largely unclear whether these associations can be used in non-European populations. Here, we seek to quantify the proport...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933291/ https://www.ncbi.nlm.nih.gov/pubmed/33664403 http://dx.doi.org/10.1038/s41598-021-84739-z |
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author | Guo, Jing Bakshi, Andrew Wang, Ying Jiang, Longda Yengo, Loic Goddard, Michael E. Visscher, Peter M. Yang, Jian |
author_facet | Guo, Jing Bakshi, Andrew Wang, Ying Jiang, Longda Yengo, Loic Goddard, Michael E. Visscher, Peter M. Yang, Jian |
author_sort | Guo, Jing |
collection | PubMed |
description | Genome-wide association studies (GWAS) in samples of European ancestry have identified thousands of genetic variants associated with complex traits in humans. However, it remains largely unclear whether these associations can be used in non-European populations. Here, we seek to quantify the proportion of genetic variation for a complex trait shared between continental populations. We estimated the between-population correlation of genetic effects at all SNPs ([Formula: see text] ) or genome-wide significant SNPs ([Formula: see text] ) for height and body mass index (BMI) in samples of European (EUR; [Formula: see text] ) and African (AFR; [Formula: see text] ) ancestry. The [Formula: see text] between EUR and AFR was 0.75 ([Formula: see text] ) for height and 0.68 ([Formula: see text] ) for BMI, and the corresponding [Formula: see text] was 0.82 ([Formula: see text] ) for height and 0.87 ([Formula: see text] ) for BMI, suggesting that a large proportion of GWAS findings discovered in Europeans are likely applicable to non-Europeans for height and BMI. There was no evidence that [Formula: see text] differs in SNP groups with different levels of between-population difference in allele frequency or linkage disequilibrium, which, however, can be due to the lack of power. |
format | Online Article Text |
id | pubmed-7933291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79332912021-03-08 Quantifying genetic heterogeneity between continental populations for human height and body mass index Guo, Jing Bakshi, Andrew Wang, Ying Jiang, Longda Yengo, Loic Goddard, Michael E. Visscher, Peter M. Yang, Jian Sci Rep Article Genome-wide association studies (GWAS) in samples of European ancestry have identified thousands of genetic variants associated with complex traits in humans. However, it remains largely unclear whether these associations can be used in non-European populations. Here, we seek to quantify the proportion of genetic variation for a complex trait shared between continental populations. We estimated the between-population correlation of genetic effects at all SNPs ([Formula: see text] ) or genome-wide significant SNPs ([Formula: see text] ) for height and body mass index (BMI) in samples of European (EUR; [Formula: see text] ) and African (AFR; [Formula: see text] ) ancestry. The [Formula: see text] between EUR and AFR was 0.75 ([Formula: see text] ) for height and 0.68 ([Formula: see text] ) for BMI, and the corresponding [Formula: see text] was 0.82 ([Formula: see text] ) for height and 0.87 ([Formula: see text] ) for BMI, suggesting that a large proportion of GWAS findings discovered in Europeans are likely applicable to non-Europeans for height and BMI. There was no evidence that [Formula: see text] differs in SNP groups with different levels of between-population difference in allele frequency or linkage disequilibrium, which, however, can be due to the lack of power. Nature Publishing Group UK 2021-03-04 /pmc/articles/PMC7933291/ /pubmed/33664403 http://dx.doi.org/10.1038/s41598-021-84739-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Guo, Jing Bakshi, Andrew Wang, Ying Jiang, Longda Yengo, Loic Goddard, Michael E. Visscher, Peter M. Yang, Jian Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title | Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title_full | Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title_fullStr | Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title_full_unstemmed | Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title_short | Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title_sort | quantifying genetic heterogeneity between continental populations for human height and body mass index |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933291/ https://www.ncbi.nlm.nih.gov/pubmed/33664403 http://dx.doi.org/10.1038/s41598-021-84739-z |
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