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Probing genetic overlap among complex human phenotypes
Open accessAbstract
Geneticists and epidemiologists often observe that certain hereditary disorders cooccur in individual patients significantly more (or significantly less) frequently than expected, suggesting there is a genetic variation that predisposes its bearer to multiple disorders, or that protects against some disorders while predisposing to others. We suggest that, by using a large number of phenotypic observations about multiple disorders and an appropriate statistical model, we can infer genetic overlaps between phenotypes. Our proof-of-concept analysis of 1.5 million patient records and 161 disorders indicates that disease phenotypes form a highly connected network of strong pairwise correlations. Our modeling approach, under appropriate assumptions, allows us to estimate from these correlations the size of putative genetic overlaps. For example, we suggest that autism, bipolar disorder, and schizophrenia share significant genetic overlaps. Our disease network hypothesis can be immediately exploited in the design of genetic mapping approaches that involve joint linkage or association analyses of multiple seemingly disparate phenotypes.
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“(iii) conditioning of the risk for one disease on another disease in the same individual106,107.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [106]
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Metadata
- Authors
- Rzhetsky, A., Wajngurt, D., Park, N., & Zheng, T.
- Affiliations
- Columbia University (US)
- *Department of Biomedical Informatics, Center for Computational Biology and Bioinformatics and Joint Centers for Systems Biology, and
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2007-07-10
- Volume
- 104
- Issue
- 28
- Pages
- 11694-11699
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC1906727
- OpenAlex
- W2121926780
- Cited by
- 298
- References
- 15
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 9 · 2023: 4 · 2022: 10 · 2021: 8 · 2020: 9 · 2019: 20 · 2018: 16 · 2017: 15 · 2016: 12 · 2015: 28 · 2014: 24 · 2013: 22 · 2012: 17
- FWCI
- 12.55
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Columbia Academic Commons (Columbia University)
- Funders
- National Science Foundation (0121687, 0438291, 0532231)
- National Institutes of Health (CA121852, U54-CA121852)
- Advanced Research Projects Agency
- National Cancer Institute (U54CA121852)
- National Institute of General Medical Sciences (GM61372, R01GM061372, GM070789, R01GM070789)
- 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 Mapping and Diversity in Plants and Animals
- Keywords
- genetic overlap, disease networks, genetic correlation, comorbidities, autism spectrum disorder, bipolar disorder, schizophrenia, gene mapping
- MeSH terms
- Autistic Disorder, Bipolar Disorder, Humans, Models, Genetic, Phenotype, Schizophrenia, Genetic Variation, Genome, Human, Likelihood Functions
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