Literature DB >> 20529013

APOE is not associated with Alzheimer disease: a cautionary tale of genotype imputation.

Gary W Beecham1, Eden R Martin, John R Gilbert, Jonathan L Haines, Margaret A Pericak-Vance.   

Abstract

With the advent of publicly available genome-wide genotyping data, the use of genotype imputation methods is becoming increasingly common. These methods are of particular use in joint analyses, where data from different genotyping platforms are imputed to a reference set and combined in a single analysis. We show here that such an analysis can miss strong genetic association signals, such as that of the apolipoprotein-e gene in late-onset Alzheimer disease. This can occur in regions of weak to moderate LD; unobserved SNPs are not imputed with confidence so there is no consensus SNP set on which to perform association tests. Both IMPUTE and Mach software are tested, with similar results. Additionally, we show that a meta-analysis that properly accounts for the genotype uncertainty can recover association signals that were lost under a joint analysis. This shows that joint analyses of imputed genotypes, particularly failure to replicate strong signals, should be considered critically and examined on a case-by-case basis.

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Year:  2010        PMID: 20529013      PMCID: PMC2934779          DOI: 10.1111/j.1469-1809.2010.00573.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  19 in total

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Journal:  Neuron       Date:  2007-06-07       Impact factor: 17.173

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  11 in total

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6.  Imputation across genotyping arrays for genome-wide association studies: assessment of bias and a correction strategy.

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7.  Assessment of genotype imputation performance using 1000 Genomes in African American studies.

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8.  Effects of APOA5 -1131T>C (rs662799) on fasting plasma lipids and risk of metabolic syndrome: evidence from a case-control study in China and a meta-analysis.

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9.  Assessing accuracy of genotype imputation in American Indians.

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Journal:  Transl Psychiatry       Date:  2015-10-06       Impact factor: 6.222

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