rs10898160 - DLG2

Magnitude 2.8 · 1 study on file

Reported associations

• Bayesian and frequentist analysis of an Austrian genome-wide association study of colorectal cancer and advanced adenomas - Unknown journal (n.d.) · Unknown authors · PubMed 29228715

  ABSTRACT: Most genome-wide association studies (GWAS) were analyzed using single marker tests in combination with stringent correction procedures for multiple testing. Thus, a substantial proportion of associated single nucleotide polymorphisms (SNPs) remained undetected and may account for missing heritability in complex traits. Model selection procedures present a powerful alternative to identify associated SNPs in high-dimensional settings. In this GWAS including 1060 colorectal cancer cases, 689 cases of advanced colorectal adenomas and 4367 controls we pursued a dual approach to investigate genome-wide associations with disease risk applying both, single marker analysis and model selection based on the modified Bayesian information criterion, mBIC2, implemented in the software package

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