Article
Assessment of variability in GWAS with CRLMM genotyping algorithm on WTCCC coronary artery disease.
The pharmacogenomics journal - 1 Aug 2010
Zhang L, Yin S, Miclaus K, Chierici M, Vega S, Lambert C, Hong H, Wolfinger R D, Furlanello C, Goodsaid F
Abstract excerpt
The robustness of genome-wide association study (GWAS) results depends on the genotyping algorithms used to establish the association. This paper initiated the assessment of the impact of the Corrected Robust Linear Model with Maximum Likelihood Classification (CRLMM) genotyping quality on identifying real significant genes in a GWAS with large sample sizes. With microarray image data from the Wellcome Trust...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
