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Total genetic contribution assessment across the human genome.

Authors :
Li, Ting
Ning, Zheng
Yang, Zhijian
Zhai, Ranran
Zheng, Chenqing
Xu, Wenzheng
Wang, Yipeng
Ying, Kejun
Chen, Yiwen
Shen, Xia
Source :
Nature Communications; 5/14/2021, Vol. 12 Issue 1, p1-9, 9p
Publication Year :
2021

Abstract

Quantifying the overall magnitude of every single locus' genetic effect on the widely measured human phenome is of great challenge. We introduce a unified modelling technique that can consistently provide a total genetic contribution assessment (TGCA) of a gene or genetic variant without thresholding genetic association signals. Genome-wide TGCA in five UK Biobank phenotype domains highlights loci such as the HLA locus for medical conditions, the bone mineral density locus WNT16 for physical measures, and the skin tanning locus MC1R and smoking behaviour locus CHRNA3 for lifestyle. Tissue-specificity investigation reveals several tissues associated with total genetic contributions, including the brain tissues for mental health. Such associations are driven by tissue-specific gene expressions, which share genetic basis with the total genetic contributions. TGCA can provide a genome-wide atlas for the overall genetic contributions in each particular domain of human complex traits. Quantifying the effects of individual loci on the human phenome is a challenging task. Here, the authors introduce a modelling technique, TGCA, that assesses total genetic contribution per locus and apply this to UK Biobank phenotype domains, revealing top loci and links to tissue-specific gene expression. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
150303549
Full Text :
https://doi.org/10.1038/s41467-021-23124-w