| Title: | Gene-environment interaction explains a part of missing heritability in human body mass index |
| Journal: | Communications Biology |
| Published: | 25 Mar 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36966243/ |
| DOI: | https://doi.org/10.1038/s42003-023-04679-4 |
| URL: | https://www.nature.com/articles/s42003-023-04679-4.pdf |
Publication 11237
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Abstract
Gene-environment (G×E) interaction could partially explain missing heritability in traits; however, the magnitudes of G×E interaction effects remain unclear. Here, we estimate the heritability of G×E interaction for body mass index (BMI) by subjecting genome-wide interaction study data of 331,282 participants in the UK Biobank to linkage disequilibrium score regression (LDSC) and linkage disequilibrium adjusted kinships-software for estimating SNP heritability from summary statistics (LDAK-SumHer) analyses. Among 14 obesity-related lifestyle factors, MET score, pack years of smoking, and alcohol intake frequency significantly interact with genetic factors in both analyses, accounting for the partial variance of BMI. The G×E interaction heritability (%) and standard error of these factors by LDSC and LDAK-SumHer are as follows: MET score, 0.45% (0.12) and 0.65% (0.24); pack years of smoking, 0.52% (0.13) and 0.93% (0.26); and alcohol intake frequency, 0.32% (0.10) and 0.80% (0.17), respectively. Moreover, these three factors are partially validated for their interactions with genetic factors in other obesity-related traits, including waist circumference, hip circumference, waist-to-hip ratio adjusted with BMI, and body fat percentage. Our results suggest that G×E interaction may partly explain the missing heritability in BMI, and two G×E interaction loci identified could help in understanding the genetic architecture of obesity.</p>
9 Authors
- Hae-Un Jung
- Dong Jun Kim
- Eun Ju Baek
- Ju Yeon Chung
- Tae Woong Ha
- Han-Kyul. Kim
- Ji-One Kang
- Ji Eun Lim
- Bermseok Oh
1 Application
| Application ID | Title |
|---|---|
| 56987 | Classification of asthma patients and identification of group-specific genetic variants |
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