Title: Statistical Approaches to Combine Genetic Association Data.
Authors: Lutz, Sharon M; Fingerlin, Tasha; Fardo, David W
Published In J Biom Biostat, (2013 Jun 01)
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.
PubMed ID: 24009987
MeSH Terms: No MeSH terms associated with this publication