Statistical methods to detect pleiotropy in human complex traits
Open accessAbstract
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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Pleiotropy is pervasive, as uncovered through genome-wide association studies.
“However, the topic has received renewed attention, given the pervasiveness of pleiotropy that has been uncovered through genome-wide association studies (GWAS) [8–10].”
From Multi-trait association studies discover pleiotropic loci between Alzheimer’s disease and cardiometabolic traits (2021) · cites this paper as [8]
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Leveraging pleiotropy for the improved treatment of psychiatric disorders
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Functional Determinants and Evolutionary Consequences of Pleiotropy in Complex and Mendelian Traits
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Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes
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Coheritability and Coenvironmentability as Concepts for Partitioning the Phenotypic CorrelationPreprint
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Dissecting pleiotropy to gain mechanistic insights into human disease
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Editorial: Genetic Pleiotropy in Complex Traits and Diseases
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Heritability of cognitive and emotion processing during functional MRI in a twin sample
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Shared genetic architecture and causal relationship between liver and heart disease
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Current approaches in CRISPR-Cas systems for diabetes
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Identifying Pleiotropic SNPs Associated With Femoral Neck and Heel Bone Mineral Density
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Leveraging pleiotropic association using sparse group variable selection in genomics data
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Trait selection strategy in multi-trait GWAS: Boosting SNP discoverability
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Phenotypic and Molecular Characterization of Risk Loci Associated With Asthma and Lung Function
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Genetic Pleiotropy of Bone-Related Phenotypes: Insights from Osteoporosis
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Pleiotropic Loci for Cannabis Use Disorder Severity in Multi-Ancestry High-Risk Populations
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Pleiotropy in eye disease and related traits
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Genetic Susceptibility to Ketosis in Cattle: Current State of Research
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Shared heritability among psychiatric disorders and traits
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Advances in Omics and Bioinformatics Tools for Phyllosphere Studies
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Variable Selection and Dimension Reduction for Structured Large Datasets
Sutton, M. W. (2019) · Queensland University of Technology · doi:10.5204/thesis.eprints.129460
- Authors
- Hackinger, S., & Zeggini, E.
- Affiliations
- Wellcome Sanger Institute (GB)
- Corresponding author
- Zeggini, Eleftheria
- Venue
- Open Biology
- Publisher
- The Royal Society
- Published
- 2017-11
- Volume
- 7
- Issue
- 11
- ISSN
- 2046-2441 (ISSN-L)
- PMC
- PMC5717338
- OpenAlex
- W2766556645
- Cited by
- 143
- References
- 155
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 12 · 2023: 19 · 2022: 36 · 2021: 15 · 2020: 23 · 2019: 17 · 2018: 7
- FWCI
- 1.65
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Open Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Wellcome Trust (WT098051)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- pleiotropy, multi-trait analysis, genetic overlap, complex traits, biological pathways, statistical analysis
- MeSH terms
- Humans, Quantitative Trait, Heritable, Quantitative Trait Loci, Genome-Wide Association Study, Genetic Pleiotropy
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