ArticleFrontiers in genetics2022
Linear Mixed-Effect Models Through the Lens of Hardy-Weinberg Disequilibrium.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Hardy-Weinberg Equilibrium in Meta-Analysis Studies and Large-Scale Genomic Sequencing Era.Asian Pacific journal of cancer prevention : APJCP · 2024Review
- Heritability Estimation of Cognitive Phenotypes in the ABCD StudyBehavior genetics · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
For genetic association studies with related individuals, the linear mixed-effect model is the most commonly used method. In this report, we show that contrary to the popular belief, this standard method can be sensitive to departure from Hardy-Weinberg equilibrium (i.e., Hardy-Weinberg disequilibrium) at the causal SNPs in two ways. First, when the trait heritability is treated as a nuisance parameter, although the association test has correct type I error control, the resulting heritability estimate can be biased, often upward, in the presence of Hardy-Weinberg disequilibrium. Second, if the true heritability is used in the linear mixed-effect model, then the corresponding association test can be biased in the presence of Hardy-Weinberg disequilibrium. We provide some analytical insights along with supporting empirical results from simulation and application studies.
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