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A hybrid bayesian approach for genome-wide association studies on related individuals
Author(s) -
Akram Yazdani,
David B. Dunson
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv496
Subject(s) - bayesian probability , genome wide association study , computer science , genetic association , association (psychology) , computational biology , biology , genetics , artificial intelligence , single nucleotide polymorphism , gene , psychology , genotype , psychotherapist
Both single marker and simultaneous analysis face challenges in GWAS due to the large number of markers genotyped for a small number of subjects. This large p small n problem is particularly challenging when the trait under investigation has low heritability.

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