title: Rare and low-frequency variants in human common diseases and other complex traits.
abstract: In humans, most of the genetic variation is rare and often population-specific. Whereas the role of rare genetic variants in familial monogenic diseases is firmly established, we are only now starting to explore the contribution of this class of genetic variation to human common diseases and other complex traits. Such large-scale experiments are possible due to the development of next-generation DNA sequencing. Early findings suggested that rare and low-frequency coding variation might have a large effect on human phenotypes (eg, PCSK9 missense variants on low-density lipoprotein-cholesterol and coronary heart diseases). This observation sparked excitement in prognostic and diagnostic medicine, as well as in genetics-driven strategies to develop new drugs. In this review, I describe results and present initial conclusions regarding some of the recent rare and low-frequency variant discoveries. We can already assume that most phenotype-associated rare and low-frequency variants have modest-to-weak phenotypical effect. Thus, we will need large cohorts to identify them, as for common variants in genome-wide association studies. As we expand the list of associated rare and low-frequency variants, we can also better recognise the current limitations: we need to develop better statistical methods to optimally test association with rare variants, including non-coding variation, and to account for potential confounders such as population stratification.
authors.affiliation: Montreal Heart Institute, Montreal, Quebec, Canada Faculty of Medicine, Department of Medicine, Université de Montréal, Montreal, Quebec, Canada.
authors.forename: Guillaume
authors.initials: G
authors.lastname: Lettre
mesh_terms: D004194:Disease / Q000235:genetics*; D020022:Genetic Predisposition to Disease; D036281:Genetic Research; D014644:Genetic Variation; D055106:Genome-Wide Association Study; D006801:Humans; D010641:Phenotype
keywords: Complex traits; Genome-wide