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ABSTRACT: Background
The current understanding of the genetic basis of complex human diseases is that they are caused and affected by many common and rare genetic variants. A considerable number of the disease-associated variants have been identified by Genome Wide Association Studies, however, they can explain only a small proportion of heritability. One of the possible reasons for the missing heritability is that many undiscovered disease-causing variants are weakly associated with the disease. This can pose serious challenges to many statistical methods, which seems to be only capable of identifying disease-associated variants with relatively stronger coefficients.Results
In order to help identify weaker variants, we propose a novel statistical method, Constrained Sparse multi-loc
SUBMITTER: Wang H
PROVIDER: S-EPMC7038505 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature