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Assessing the digenic model in rare disorders using population sequencing data

Authors :
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
European Commission
Generalitat de Catalunya
Department of Health & Social Care (UK)
National Institute for Health Research (UK)
National Health Service (UK)
Wellcome Trust
Medical Research Council (UK)
Moreno-Ruiz, Nerea [0000-0002-9636-0179]
Lao, Oscar [0000-0002-8525-9649]
Arostegui, Juan Ignacio [0000-0003-4757-504X]
Laayouni, Hafid [0000-0003-1297-5078]
Casals, Ferran [0000-0002-8941-0369]
Moreno-Ruiz, Nerea
Lao, Oscar
Arostegui, Juan Ignacio
Laayouni, Hafid
Casals, Ferran
Genomics England Research Consortium
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
European Commission
Generalitat de Catalunya
Department of Health & Social Care (UK)
National Institute for Health Research (UK)
National Health Service (UK)
Wellcome Trust
Medical Research Council (UK)
Moreno-Ruiz, Nerea [0000-0002-9636-0179]
Lao, Oscar [0000-0002-8525-9649]
Arostegui, Juan Ignacio [0000-0003-4757-504X]
Laayouni, Hafid [0000-0003-1297-5078]
Casals, Ferran [0000-0002-8941-0369]
Moreno-Ruiz, Nerea
Lao, Oscar
Arostegui, Juan Ignacio
Laayouni, Hafid
Casals, Ferran
Genomics England Research Consortium
Publication Year :
2022

Abstract

An important fraction of patients with rare disorders remains with no clear genetic diagnostic, even after whole-exome or whole-genome sequencing, posing a difficulty in giving adequate treatment and genetic counseling. The analysis of genomic data in rare disorders mostly considers the presence of single gene variants in coding regions that follow a concrete monogenic mode of inheritance. A digenic inheritance, with variants in two functionally-related genes in the same individual, is a plausible alternative that might explain the genetic basis of the disease in some cases. In this case, digenic disease combinations should be absent or underrepresented in healthy individuals. We develop a framework to evaluate the significance of digenic combinations and test its statistical power in different scenarios. We suggest that this approach will be relevant with the advent of new sequencing efforts including hundreds of thousands of samples.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1373151826
Document Type :
Electronic Resource