Quantifying genetic heterogeneity between continental populations for human height and body mass index

Abstract 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 th...

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Autores principales: Jing Guo, Andrew Bakshi, Ying Wang, Longda Jiang, Loic Yengo, Michael E. Goddard, Peter M. Visscher, Jian Yang
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:57eb2e25461342fd966d50ab4d8754722021-12-02T13:20:03ZQuantifying genetic heterogeneity between continental populations for human height and body mass index10.1038/s41598-021-84739-z2045-2322https://doaj.org/article/57eb2e25461342fd966d50ab4d8754722021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84739-zhttps://doaj.org/toc/2045-2322Abstract 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 ( $$r_{g}$$ r g ) or genome-wide significant SNPs ( $$r_{{g\left( {GWS} \right)}}$$ r g GWS ) for height and body mass index (BMI) in samples of European (EUR; $$n = 49,839$$ n = 49 , 839 ) and African (AFR; $$n = 17,426$$ n = 17 , 426 ) ancestry. The $$\hat{r}_{g}$$ r ^ g between EUR and AFR was 0.75 ( $${\text{s}}.{\text{e}}. = 0.035$$ s . e . = 0.035 ) for height and 0.68 ( $${\text{s}}.{\text{e}}. = 0.062$$ s . e . = 0.062 ) for BMI, and the corresponding $$\hat{r}_{{g\left( {GWS} \right)}}$$ r ^ g GWS was 0.82 ( $${\text{s}}.{\text{e}}. = 0.030$$ s . e . = 0.030 ) for height and 0.87 ( $${\text{s}}.{\text{e}}. = 0.064$$ s . e . = 0.064 ) 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 $$\hat{r}_{g}$$ r ^ g 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.Jing GuoAndrew BakshiYing WangLongda JiangLoic YengoMichael E. GoddardPeter M. VisscherJian YangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jing Guo
Andrew Bakshi
Ying Wang
Longda Jiang
Loic Yengo
Michael E. Goddard
Peter M. Visscher
Jian Yang
Quantifying genetic heterogeneity between continental populations for human height and body mass index
description Abstract 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 ( $$r_{g}$$ r g ) or genome-wide significant SNPs ( $$r_{{g\left( {GWS} \right)}}$$ r g GWS ) for height and body mass index (BMI) in samples of European (EUR; $$n = 49,839$$ n = 49 , 839 ) and African (AFR; $$n = 17,426$$ n = 17 , 426 ) ancestry. The $$\hat{r}_{g}$$ r ^ g between EUR and AFR was 0.75 ( $${\text{s}}.{\text{e}}. = 0.035$$ s . e . = 0.035 ) for height and 0.68 ( $${\text{s}}.{\text{e}}. = 0.062$$ s . e . = 0.062 ) for BMI, and the corresponding $$\hat{r}_{{g\left( {GWS} \right)}}$$ r ^ g GWS was 0.82 ( $${\text{s}}.{\text{e}}. = 0.030$$ s . e . = 0.030 ) for height and 0.87 ( $${\text{s}}.{\text{e}}. = 0.064$$ s . e . = 0.064 ) 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 $$\hat{r}_{g}$$ r ^ g 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 article
author Jing Guo
Andrew Bakshi
Ying Wang
Longda Jiang
Loic Yengo
Michael E. Goddard
Peter M. Visscher
Jian Yang
author_facet Jing Guo
Andrew Bakshi
Ying Wang
Longda Jiang
Loic Yengo
Michael E. Goddard
Peter M. Visscher
Jian Yang
author_sort Jing Guo
title 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_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_sort quantifying genetic heterogeneity between continental populations for human height and body mass index
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/57eb2e25461342fd966d50ab4d875472
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