Allelic Heterogeneity in Genetic Association Meta-Analysis: An Application to <i>DTNBP1</i> and Schizophrenia
Author(s) -
Brion S. Maher,
Mark A. Reimers,
Brien P. Riley,
Kenneth S. Kendler
Publication year - 2009
Publication title -
human heredity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.423
H-Index - 62
eISSN - 1423-0062
pISSN - 0001-5652
DOI - 10.1159/000264445
Subject(s) - genetic association , allelic heterogeneity , biology , single nucleotide polymorphism , meta analysis , genetics , allele , genetic heterogeneity , genome wide association study , snp , locus (genetics) , computational biology , genotype , gene , phenotype , medicine
Meta-analysis of genetic association studies is a useful approach when individual investigations do not yield studywise significant results but the evidence across studies is modest and homogeneous. Current meta-analysis methods account for heterogeneity by down-weighting studies as a function of between-study variance. We contend that current approaches may obscure interesting phenomena in genetic association data. However, an appropriate approach to examining heterogeneity across studies is lacking.
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