ArticleNature methods2015
Accurate liability estimation improves power in ascertained case-control studies.
Article in Nature methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Case-control association mapping by proxy using family history of disease.Nature genetics · 2017Pooled it
- Liability threshold model-based disease risk prediction based on electronic health record phenotypes.Nature genetics · 2025Article
- FastBiCmrMLM: a fast and powerful compressed variance component mixed logistic model for big genomic case-control genome-wide association study.Briefings in bioinformatics · 2024Article
- Uncertainty quantification in variable selection for genetic fine-mapping using bayesian neural networks.iScience · 2022Article
- Incorporating family history of disease improves polygenic risk scores in diverse populations.Cell genomics · 2022Article
- Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling.BMC genomics · 2022Article
- Unraveling the genotype by environment interaction in a thermosensitive fish with a polygenic sex determination system.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Multi-scale inference of genetic trait architecture using biologically annotated neural networks.PLoS genetics · 2021Article
- A unifying framework for rare variant association testing in family-based designs, including higher criticism approaches, SKATs, and burden tests.Bioinformatics (Oxford, England) · 2021Article
- Estimation of non-null SNP effect size distributions enables the detection of enriched genes underlying complex traits.PLoS genetics · 2020Article
- Liability threshold modeling of case-control status and family history of disease increases association power.Nature genetics · 2020Article
- OSCA: a tool for omic-data-based complex trait analysis.Genome biology · 2019Article
- Robust genetic interaction analysis.Briefings in bioinformatics · 2019Review
- Fast and flexible linear mixed models for genome-wide genetics.PLoS genetics · 2019Article
- Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies.BioData mining · 2019Article
- Population structure in genetic studies: Confounding factors and mixed models.PLoS genetics · 2018Review
- Transformation of Summary Statistics from Linear Mixed Model Association on All-or-None Traits to Odds Ratio.Genetics · 2018Article
- Association testing of bisulfite-sequencing methylation data via a Laplace approximation.Bioinformatics (Oxford, England) · 2017Article
- Genetic Mechanisms Leading to Sex Differences Across Common Diseases and Anthropometric Traits.Genetics · 2017Article
- Mixed Model Association with Family-Biased Case-Control Ascertainment.American journal of human genetics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Linear mixed models (LMMs) have emerged as the method of choice for confounded genome-wide association studies. However, the performance of LMMs in nonrandomly ascertained case-control studies deteriorates with increasing sample size. We propose a framework called LEAP (liability estimator as a phenotype; https://github.com/omerwe/LEAP) that tests for association with estimated latent values corresponding to severity of phenotype, and we demonstrate that this can lead to a substantial power increase.
Indexed as
Identifiers
25664543What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.