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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2021
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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) |
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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 |
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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 |
work_keys_str_mv |
AT jingguo quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT andrewbakshi quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT yingwang quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT longdajiang quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT loicyengo quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT michaelegoddard quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT petermvisscher quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT jianyang quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex |
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