ReviewOpen biology2017
Statistical methods to detect pleiotropy in human complex traits.
Review in Open biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 3 of them syntheses that pooled it.
What it found
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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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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.
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Who cites it
79 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Investigating the shared genetic architecture between inflammatory bowel disease and pancreatitis: a genome-wide cross-trait analysis.Molecular genetics and genomics : MGG · 2026Pooled it
- Comparison of two multi-trait association testing methods and sequence-based fine mapping of six additive QTL in Swiss Large White pigs.BMC genomics · 2023Pooled it
- Leveraging pleiotropic association using sparse group variable selection in genomics data.BMC medical research methodology · 2022Pooled it
- Article
- An expectation and maximization algorithm for multivariate genome-wide association studies (EMmvGWAS).Genetics · 2026Article
- A genomic structural equation modelling study elucidates shared genetic architecture of polygenic traits associated with post-intensive care syndrome.Scientific reports · 2026Article
- Dissecting pleiotropy to gain mechanistic insights into human disease.Nature reviews. Genetics · 2026Review
- Functional Determinants and Evolutionary Consequences of Pleiotropy in Complex and Mendelian Traits.Molecular biology and evolution · 2025Article
- A one-shot, lossless algorithm for cross-cohort learning in mixed-outcomes analysis.Patterns (New York, N.Y.) · 2025Article
- Disentangling horizontal and vertical Pleiotropy in genetic correlation estimation: introducing the HVP model.Human genetics · 2025Article
- Genomic correlation, shared loci, and causal link between obesity and diabetic microvascular complications: A genome-wide pleiotropic analysis.Biomolecules & biomedicine · 2025Article
- Mendelian randomisation to uncover causal associations between conformation, metabolism, and production as potential exposure to reproduction in German Holstein dairy cattle.Genetics, selection, evolution : GSE · 2025Article
- Leveraging pleiotropy for the improved treatment of psychiatric disorders.Molecular psychiatry · 2025Review
- fastMETA: a fast and efficient tool for multivariate meta-analysis of GWAS.Frontiers in genetics · 2025Article
- Genetically Informed Study Highlights Income-Independent Effect of Schizophrenia Liability on Mental and Physical Health.Schizophrenia bulletin · 2024Article
- [Gluteal tendinitis and primary coxarthrosis may lead to iliotibial band syndrome: a Mendelian randomization study].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Genetic interactions and pleiotropy in metabolic diseases: Insights from a comprehensive GWAS analysis.Journal of cellular and molecular medicine · 2024Article
- Trait selection strategy in multi-trait GWAS: Boosting SNP discoverability.HGG advances · 2024Article
- Identifying pleiotropic genes via the composite test amidst the complexity of polygenic traits.Briefings in bioinformatics · 2024Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In recent years pleiotropy, the phenomenon of one genetic locus influencing several traits, has become a widely researched field in human genetics. With the increasing availability of genome-wide association study summary statistics, as well as the establishment of deeply phenotyped sample collections, it is now possible to systematically assess the genetic overlap between multiple traits and diseases. In addition to increasing power to detect associated variants, multi-trait methods can also aid our understanding of how different disorders are aetiologically linked by highlighting relevant biological pathways. A plethora of available tools to perform such analyses exists, each with their own advantages and limitations. In this review, we outline some of the currently available methods to conduct multi-trait analyses. First, we briefly introduce the concept of pleiotropy and outline the current landscape of pleiotropy research in human genetics; second, we describe analytical considerations and analysis methods; finally, we discuss future directions for the field.
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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.