A genome-wide case-only test for the detection of digenic inheritance in human exomes

Author:

Kerner GaspardORCID,Bouaziz Matthieu,Cobat Aurélie,Bigio Benedetta,Timberlake Andrew T.ORCID,Bustamante JacintaORCID,Lifton Richard P.,Casanova Jean-Laurent,Abel Laurent

Abstract

Whole-exome sequencing (WES) has facilitated the discovery of genetic lesions underlying monogenic disorders. Incomplete penetrance and variable expressivity suggest a contribution of additional genetic lesions to clinical manifestations and outcome. Some monogenic disorders may therefore actually be digenic. However, only a few digenic disorders have been reported, all discovered by candidate gene approaches applied to at least one locus. We propose here a two-locus genome-wide test for detecting digenic inheritance in WES data. This approach uses the gene as the unit of analysis and tests all pairs of genes to detect pairwise gene × gene interactions underlying disease. It is a case-only method, which has several advantages over classic case-control tests, in particular by avoiding recruitment of controls. Our simulation studies based on real WES data identified two major sources of type I error inflation in this case-only test: linkage disequilibrium and population stratification. Both were corrected by specific procedures. Moreover, our case-only approach is more powerful than the corresponding case-control test for detecting digenic interactions in various population stratification scenarios. Finally, we confirmed the potential of our unbiased, genome-wide approach by successfully identifying a previously reported digenic lesion in patients with craniosynostosis. Our case-only test is a powerful and timely tool for detecting digenic inheritance in WES data from patients.

Funder

Office of Extramural Research, National Institutes of Health

Agence Nationale de la Recherche

HHS | NIH | National Human Genome Research Institute

National Human Genome Research Institute

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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