ArticleGenetics2016
Statistical Methods for Testing Genetic Pleiotropy.
Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mendelian Randomization and the Environmental Epigenetics of Health: a Systematic Review.Current environmental health reports · 2019Pooled it
- Dissecting pleiotropy to gain mechanistic insights into human disease.Nature reviews. Genetics · 2026Review
- Article
- Bayesian inference of genetic pleiotropy identifies drug targets and repurposable medicines for human complex diseases.medRxiv : the preprint server for health sciences · 2025Article
- Epistasis and pleiotropy-induced variation for plant breeding.Plant biotechnology journal · 2024Review
- Pleiotropic genetic association analysis with multiple phenotypes using multivariate response best-subset selection.BMC genomics · 2023Article
- A copula-based set-variant association test for bivariate continuous, binary or mixed phenotypes.The international journal of biostatistics · 2023Article
- Genetic pleiotropy underpinning adiposity and inflammation in self-identified Hispanic/Latino populations.BMC medical genomics · 2022Article
- Associating complex traits with genetic variants: polygenic risk scores, pleiotropy and endophenotypes.Genetica · 2022Article
- Multivariate genome-wide association study of depression, cognition, and memory phenotypes and validation analysis identify 12 cross-ethnic variants.Translational psychiatry · 2022Article
- Multivariate, region-based genetic analyses of facets of reproductive aging in White and Black women.Molecular genetics & genomic medicine · 2022Article
- A Novel Hierarchical Clustering Approach for Joint Analysis of Multiple Phenotypes Uncovers Obesity Variants Based on ARIC.Frontiers in genetics · 2022Article
- Mapping pleiotropic loci using a fast-sequential testing algorithm.European journal of human genetics : EJHG · 2021Article
- Mapping pleiotropic loci using a fast-sequential testing algorithm.European journal of human genetics : EJHG · 2021Article
- A powerful method for pleiotropic analysis under composite null hypothesis identifies novel shared loci between Type 2 Diabetes and Prostate Cancer.PLoS genetics · 2020Article
- Implicating causal brain imaging endophenotypes in Alzheimer's disease using multivariable IWAS and GWAS summary data.NeuroImage · 2020Article
- A powerful and versatile colocalization test.PLoS computational biology · 2020Article
- How Well Can Multivariate and Univariate GWAS Distinguish Between True and Spurious Pleiotropy?Frontiers in genetics · 2020Article
- Multi-trait Improvement by Predicting Genetic Correlations in Breeding Crosses.G3 (Bethesda, Md.) · 2019Article
- The pleiotropic effect of rs7903146 on type 2 diabetes and ischemic stroke: a family-based study in a Chinese population.Journal of thrombosis and thrombolysis · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Genetic pleiotropy is when a single gene influences more than one trait. Detecting pleiotropy and understanding its causes can improve the biological understanding of a gene in multiple ways, yet current multivariate methods to evaluate pleiotropy test the null hypothesis that none of the traits are associated with a variant; departures from the null could be driven by just one associated trait. A formal test of pleiotropy should assume a null hypothesis that one or no traits are associated with a genetic variant. For the special case of two traits, one can construct this null hypothesis based on the intersection-union (IU) test, which rejects the null hypothesis only if the null hypotheses of no association for both traits are rejected. To allow for more than two traits, we developed a new likelihood-ratio test for pleiotropy. We then extended the testing framework to a sequential approach to test the null hypothesis that [Formula: see text] traits are associated, given that the null of k traits are associated was rejected. This provides a formal testing framework to determine the number of traits associated with a genetic variant, while accounting for correlations among the traits. By simulations, we illustrate the type I error rate and power of our new methods; describe how they are influenced by sample size, the number of traits, and the trait correlations; and apply the new methods to multivariate immune phenotypes in response to smallpox vaccination. Our new approach provides a quantitative assessment of pleiotropy, enhancing current analytic practice.
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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.