» Articles » PMID: 39018351

Nonadditive Effects of Common Genetic Variants Have a Negligent Contribution to Cancer Heritability

Overview
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Contribution of dominance effects to cancer heritability is unknown. We leveraged existing genome-wide association data for seven cancers to estimate the contribution of dominance effects to the heritability of individual cancer types.

Methods: We estimated the proportion of phenotypic variation caused by dominance genetic effects using genome-wide association data for seven cancers (breast, colorectal, lung, melanoma, nonmelanoma skin, ovarian, and prostate) in a total of 166,772 cases and 284,824 controls.

Results: We observed no evidence of a meaningful contribution of dominance effects to cancer heritability. By contrast, additive effects ranged between 0.11 and 0.34.

Conclusions: In line with studies of other human traits, the dominance effects of common genetic variants play a minimal role in cancer etiology.

Impact: These results support the assumption of an additive inheritance model when conducting cancer association studies with common genetic variants.

References
1.
Lee S, Wray N, Goddard M, Visscher P . Estimating missing heritability for disease from genome-wide association studies. Am J Hum Genet. 2011; 88(3):294-305. PMC: 3059431. DOI: 10.1016/j.ajhg.2011.02.002. View

2.
Jiang X, Finucane H, Schumacher F, Schmit S, Tyrer J, Han Y . Shared heritability and functional enrichment across six solid cancers. Nat Commun. 2019; 10(1):431. PMC: 6347624. DOI: 10.1038/s41467-018-08054-4. View

3.
Zhu Z, Bakshi A, Vinkhuyzen A, Hemani G, Lee S, Nolte I . Dominance genetic variation contributes little to the missing heritability for human complex traits. Am J Hum Genet. 2015; 96(3):377-85. PMC: 4375616. DOI: 10.1016/j.ajhg.2015.01.001. View

4.
Lindstrom S, Wang L, Feng H, Majumdar A, Huo S, MacDonald J . Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions. J Natl Cancer Inst. 2023; 115(6):712-732. PMC: 10248849. DOI: 10.1093/jnci/djad043. View

5.
Yang J, Lee S, Goddard M, Visscher P . GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2010; 88(1):76-82. PMC: 3014363. DOI: 10.1016/j.ajhg.2010.11.011. View