The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Finding genes that underlie complex traits.
Abstract
Phenotypic variation among organisms is central to evolutionary adaptations underlying natural and artificial selection, and also determines individual susceptibility to common diseases. These types of complex traits pose special challenges for genetic analysis because of gene-gene and gene-environment interactions, genetic heterogeneity, low penetrance, and limited statistical power. Emerging genome resources and technologies are enabling systematic identification of genes underlying these complex traits. We propose standards for proof of gene discovery in complex traits and evaluate the nature of the genes identified to date. These proof-of-concept studies demonstrate the insights that can be expected from the accelerating pace of gene discovery in this field.
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“Complex traits including human altruism are molded by both environment and multiple genes and such phenotypes pose special challenges for genetic analysis due to gene-gene and gene-environment interactions, genetic heterogeneity, low penetrance, and limited statistical power [60].”
From The oxytocin receptor (OXTR) contributes to prosocial fund allocations in the dictator game and the social value orientations task (2009) · cites this paper as [60]
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Cites
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The Endophenotype Concept in Psychiatry: Etymology and Strategic Intentions
Gottesman, I. I., & Gould, T. D. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.4.636 · Cited by 5,615
Walking the Interactome for Prioritization of Candidate Disease Genes
Köhler, S., Bauer, S., Horn, D., & Robinson, P. N. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.02.013 · Cited by 1,268
Discovering Endophenotypes for Major Depression
Hasler, G., Drevets, W. C., Manji, H. K., & Charney, D. S. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300506 · Cited by 1,123
Mammalian circadian biology: elucidating genome-wide levels of temporal organization
Lowrey, P. L., & Takahashi, J. S. (2004) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.5.061903.175925 · Cited by 976
A regulatory mutation in IGF2 causes a major QTL effect on muscle growth in the pig
Laere, A.-S. V., Nguyen, M. Q., Braunschweig, M., Nezer, C., Collette, C., Moreau, L., Archibald, A. L., Haley, C., Buys, N., Tally, M., et al. (2003) · Nature · doi:10.1038/nature02064 · Cited by 949
Metadata
- Authors
- Glazier, A. M., Nadeau, J. H., & Aitman, T. J.
- Affiliations
- Hammersmith Hospital (GB)
- Case Western Reserve University (US)
- Corresponding author
- Nadeau, Joseph H.
- Aitman, Timothy J.
- Venue
- Science
- Published
- 2002-12-20
- Volume
- 298
- Issue
- 5602
- Pages
- 2345-2349
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1838763289
- Cited by
- 855
- References
- 57
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 5 · 2023: 11 · 2022: 17 · 2021: 14 · 2020: 12 · 2019: 12 · 2018: 15 · 2017: 10 · 2016: 19 · 2015: 33 · 2014: 19 · 2013: 42 · 2012: 38
- FWCI
- 8.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- complex traits, gene discovery, phenotypic variability, gene-environment interaction, genetic heterogeneity, low penetrance, statistical power, genomic resources, common diseases, natural selection, selective breeding
- MeSH terms
- Alleles, Animals, Chromosome Mapping, Humans, Genetic Linkage, Mutation, Phenotype, Plants, Saccharomyces cerevisiae, Genetic Variation, Sequence Analysis, DNA, Quantitative Trait, Heritable, Genetic Predisposition to Disease, Multifactorial Inheritance, Quantitative Trait Loci
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