Are Rare Variants Responsible for Susceptibility to Complex Diseases?
Overview
Authors
Affiliations
Little is known about the nature of genetic variation underlying complex diseases in humans. One popular view proposes that mapping efforts should focus on identification of susceptibility mutations that are relatively old and at high frequency. It is generally assumed-at least for modeling purposes-that selection against complex disease mutations is so weak that it can be ignored. In this article, I propose an explicit model for the evolution of complex disease loci, incorporating mutation, random genetic drift, and the possibility of purifying selection against susceptibility mutations. I show that, for the most plausible range of mutation rates, neutral susceptibility alleles are unlikely to be at intermediate frequencies and contribute little to the overall genetic variance for the disease. Instead, it seems likely that the bulk of genetic variance underlying diseases is due to loci where susceptibility mutations are mildly deleterious and where there is a high overall mutation rate to the susceptible class. At such loci, the total frequency of susceptibility mutations may be quite high, but there is likely to be extensive allelic heterogeneity at many of these loci. I discuss some practical implications of these results for gene mapping efforts.
Germline predisposition in multiple myeloma.
Rodrigues F, Jasielec J, Perpich M, Kim A, Moma L, Li Y iScience. 2025; 28(1):111620.
PMID: 39845416 PMC: 11750583. DOI: 10.1016/j.isci.2024.111620.
Kingsmore S, Wright M, Smith L, Liang Y, Mowrey W, Protopsaltis L Am J Hum Genet. 2024; 111(12):2618-2642.
PMID: 39642867 PMC: 11639087. DOI: 10.1016/j.ajhg.2024.10.021.
Lavanchy E, Cumer T, Topaloudis A, Ducrest A, Simon C, Roulin A Heredity (Edinb). 2024; 133(6):437-449.
PMID: 39397112 PMC: 11589586. DOI: 10.1038/s41437-024-00728-8.
Conditional frequency spectra as a tool for studying selection on complex traits in biobanks.
Patel R, Weiss C, Zhu H, Mostafavi H, Simons Y, Spence J bioRxiv. 2024; .
PMID: 38948697 PMC: 11212903. DOI: 10.1101/2024.06.15.599126.
Wang Z, Xia A, Wang Q, Cui Z, Lu M, Ye Y Plant Physiol. 2024; 195(3):2129-2142.
PMID: 38431291 PMC: 11213254. DOI: 10.1093/plphys/kiae113.