Incorporating family disease history and controlling case-control imbalance for population based genetic association studies

Abstract excerpt

In the genome-wide association analysis of population-based biobanks, most diseases have low prevalence, which results in low detection power. One approach to tackle the problem is using family disease history, yet existing methods are unable to address type I error inflation induced by increased correlation of phenotypes among closely related samples, as well as unbalanced phenotypic distribution. We propose a ne...

Topics

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• Case-Control Studies
• Computer Simulation
• Genome-Wide Association Study
• Linear Models
• Logistic Models
• Models, Genetic
• Phenotype
• Polymorphism, Single Nucleotide

Identifiers and source

Literature Corpus work

3e6e1545-62d3-59b9-adcf-449bedaa46d0

DOI

10.1101/2021.07.04.21259997