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Detecting and Adjusting for Hidden Biases due to Phenotype Misclassification in Genome-Wide Association Studies

2023-01-18

Abstract excerpt

With the advent of healthcare-based genotyped biobanks, genome-wide association studies (GWAS) leverage larger sample sizes, incorporate patients with diverse ancestries and introduce noisier phenotypic definitions. Yet the extent and impact of phenotypic misclassification on large-scale datasets is not currently well understood due to a lack of statistical methods to estimate relevant parameters from empirical da...

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Literature Corpus work
66d92668-03f3-5f99-b5f0-d15c79e61297
DOI
10.1101/2023.01.17.23284670
Open publication

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Detecting and Adjusting for Hidden Biases due to Phenotype Misclassification in Genome-Wide Association StudiesDOI 10.1101/2023.01.17.23284670
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