Statistical Approaches to Combine Genetic Association Data

Overview

Journal J Biom Biostat

Date 2013 Sep 7

PMID 24009987

Citations 2

Authors

Sharon M Lutz

Tasha Fingerlin

David W Fardo

Affiliations

Soon will be listed here.

Abstract

In an attempt to discover and unravel genetic predisposition to complex traits, new statistical methods have emerged that utilize multiple sources of data. This appeal to data aggregation is seen on various levels: across genetic variants, across genomic/biological/environmental measures and across different studies, often with fundamentally differing designs. While combining data can increase power to detect genetic variants associated with disease phenotypes, care must be taken in the design, analysis, and interpretation of such studies. Here, we explore methodologies employed to combine sources of genetic data and discuss the prospects for novel advances in the fields of statistical genetics and genetic epidemiology.

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