Detecting genotype-population interaction effects by ancestry principal components
| dc.contributor.author | Yu, C. | |
| dc.contributor.author | Ni, G. | |
| dc.contributor.author | van der Werf, J. | |
| dc.contributor.author | Lee, S.H. | |
| dc.date.issued | 2020 | |
| dc.description | Data source: Supplementary material, https://doi.org/10.3389/fgene.2020.00379 | |
| dc.description.abstract | Heterogeneity in the phenotypic mean and variance across populations is often observed for complex traits. One way to understand heterogeneous phenotypes lies in uncovering heterogeneity in genetic effects. Previous studies on genetic heterogeneity across populations were typically based on discrete groups in populations stratified by different countries or cohorts, which ignored the difference of population characteristics for the individuals within each group and resulted in loss of information. Here, we introduce a novel concept of genotype-by-population (G × P) interaction where population is defined by the first and second ancestry principal components (PCs), which are less likely to be confounded with country/cohort-specific factors. We applied a reaction norm model fitting each of 70 complex traits with significant SNP-heritability and the PCs as covariates to examine G × P interactions across diverse populations including white British and other white Europeans from the UK Biobank (N = 22,229). Our results demonstrated a significant population genetic heterogeneity for behavioral traits such as age at first sexual intercourse and academic qualification. Our approach may shed light on the latent genetic architecture of complex traits that underlies the modulation of genetic effects across different populations. | |
| dc.identifier.citation | Frontiers in Genetics, 2020; 11(379):1-12 | |
| dc.identifier.doi | 10.3389/fgene.2020.00379 | |
| dc.identifier.issn | 1664-8021 | |
| dc.identifier.issn | 1664-8021 | |
| dc.identifier.uri | https://hdl.handle.net/11541.2/142397 | |
| dc.language.iso | en | |
| dc.publisher | Frontiers Research Foundation | |
| dc.relation.funding | ARC DP190100766 | |
| dc.relation.funding | ARC FT160100229 | |
| dc.relation.funding | NHMRC 1087889 | |
| dc.rights | Copyright 2020 Yu, Ni, van der Werf and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. (https://creativecommons.org/licenses/by/4.0/) | |
| dc.source.uri | https://doi.org/10.3389/fgene.2020.00379 | |
| dc.subject | genotype-phenotype relationship | |
| dc.subject | complex traits | |
| dc.subject | SNP-based heritability | |
| dc.subject | genetic heterogeneity | |
| dc.subject | UK Biobank | |
| dc.subject | selection bias | |
| dc.title | Detecting genotype-population interaction effects by ancestry principal components | |
| dc.type | Journal article | |
| pubs.publication-status | Published | |
| ror.fileinfo | 12197267790001831 13197267780001831 9916399810601831.pdf | |
| ror.mmsid | 9916399810601831 |
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