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Article

An interactive effect of batch size and composition contributes to discordant results in GWAS with the CHIAMO genotyping algorithm.

The pharmacogenomics journal - 1 Aug 2010

Chierici M, Miclaus K, Vega S, Furlanello C

Abstract excerpt

The discordance in results between independent genome-wide association studies (GWAS) indicates the potential for Type I and Type II errors. To identify the causes of variability underlying lack of reproducibility, here we present the results of a repeatability experiment on GWAS on a cohort of 1991 coronary artery disease individuals and 1500 controls (National Blood Service) provided by the Wellcome Trust Case...

Read the complete abstract on PubMed

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 20676073
DOI: 10.1038/tpj.2010.47

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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