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Short Communication
Statistical Approaches to Combine Genetic Association Data
Author(s): Sharon M Lutz, Tasha Fingerlin and David W FardoSharon M Lutz, Tasha Fingerlin and David W Fardo
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... Read More»
DOI:
10.4172/2155-6180.1000166
Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report