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Capturing additional genetic risk from family history for improved polygenic risk prediction.

Authors :
Lu, Tianyuan
Forgetta, Vincenzo
Richards, J. Brent
Greenwood, Celia M. T.
Source :
Communications Biology. 6/16/2022, Vol. 5 Issue 1, p1-11. 11p.
Publication Year :
2022

Abstract

Family history of complex traits may reflect transmitted rare pathogenic variants, intra-familial shared exposures to environmental and lifestyle factors, as well as a common genetic predisposition. We developed a latent factor model to quantify trait heritability in excess of that captured by a common variant-based polygenic risk score, but inferable from family history. For 941 children in the Avon Longitudinal Study of Parents and Children cohort, a joint predictor combining a polygenic risk score for height and mid-parental height was able to explain ~55% of the total variance in sex-adjusted adult height z-scores, close to the estimated heritability. Marginal yet consistent risk prediction improvements were also achieved among ~400,000 European ancestry participants for 11 complex diseases in the UK Biobank. Our work showcases a paradigm for risk calculation, and supports incorporation of family history into polygenic risk score-based genetic risk prediction models. A computational method improves prediction of complex traits by incorporating genetic information from polygenic risk scores with family history. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23993642
Volume :
5
Issue :
1
Database :
Academic Search Index
Journal :
Communications Biology
Publication Type :
Academic Journal
Accession number :
157506351
Full Text :
https://doi.org/10.1038/s42003-022-03532-4