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Statistical analysis strategies for association studies involving rare variants.


ABSTRACT: The limitations of genome-wide association (GWA) studies that focus on the phenotypic influence of common genetic variants have motivated human geneticists to consider the contribution of rare variants to phenotypic expression. The increasing availability of high-throughput sequencing technologies has enabled studies of rare variants but these methods will not be sufficient for their success as appropriate analytical methods are also needed. We consider data analysis approaches to testing associations between a phenotype and collections of rare variants in a defined genomic region or set of regions. Ultimately, although a wide variety of analytical approaches exist, more work is needed to refine them and determine their properties and power in different contexts.

SUBMITTER: Bansal V 

PROVIDER: S-EPMC3743540 | biostudies-other | 2010 Nov

REPOSITORIES: biostudies-other

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Statistical analysis strategies for association studies involving rare variants.

Bansal Vikas V   Libiger Ondrej O   Torkamani Ali A   Schork Nicholas J NJ  

Nature reviews. Genetics 20101013 11


The limitations of genome-wide association (GWA) studies that focus on the phenotypic influence of common genetic variants have motivated human geneticists to consider the contribution of rare variants to phenotypic expression. The increasing availability of high-throughput sequencing technologies has enabled studies of rare variants but these methods will not be sufficient for their success as appropriate analytical methods are also needed. We consider data analysis approaches to testing associ  ...[more]

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