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Article

An empirical evaluation of imputation accuracy for association statistics reveals increased type-I error rates in genome-wide associations.

BMC genetics - 20 Jan 2011

Almeida Marcio A A, Oliveira Paulo S L, Pereira Tiago V, Krieger José E, Pereira Alexandre C

Abstract excerpt

BACKGROUND: Genome wide association studies (GWAS) are becoming the approach of choice to identify genetic determinants of complex phenotypes and common diseases. The astonishing amount of generated data and the use of distinct genotyping platforms with variable genomic coverage are still analytical challenges. Imputation algorithms combine directly genotyped markers information with haplotypic structure for the...

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PMID: 21251252
DOI: 10.1186/1471-2156-12-10
PMCID: PMC3224203

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

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