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Cited by 223Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and AnimalsForensic and Genetic Research

Case/pseudocontrol analysis in genetic association studies: A unified framework for detection of genotype and haplotype associations, gene‐gene and gene‐environment interactions, and parent‐of‐origin effects

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Cordell, Heather J., Barratt, Bryan J., Clayton, David G.·2004·Genetic Epidemiology
DOI 10.1002/gepi.10307
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Abstract

Estimation and testing of genetic effects (genotype relative risks) are often performed conditionally on parental genotypes, using data from case‐parent trios. This strategy avoids having to estimate nuisance parameters such as parental mating type frequencies, and also avoids generating spurious results due to confounding causes of association such as population stratification. For effects at a single locus, the resulting analysis is equivalent to matched case/control analysis via conditional logistic regression, using the case and three “pseudocontrols” derived from the untransmitted parental alleles. We previously showed that a similar approach can be used for analyzing genotype and haplotype effects at a set of closely linked loci, but with a required adjustment to the conditioning argument that results in varying numbers of pseudocontrols, depending on the disease model that is to be fitted. Here we extend this method to include the analysis of epistatic effects (gene‐gene interactions) at unlinked loci, to include parent‐of‐origin effects at one or more loci, and to allow additional incorporation of gene‐environment interactions. The conditional logistic approach provides a natural and flexible framework for incorporating these additional effects. By relaxing the conditioning on parental genotypes to allow exchangeability of parental genotypes, we show how the power of this approach can be increased when studying parent‐of‐origin effects. Simulations suggest that there is limited power to distinguish between parent‐of‐origin effects and effects due to interaction between genotypes of mother and child. © 2004 Wiley‐Liss, Inc.

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Authors
Cordell, H. J., Barratt, B. J., & Clayton, D. G.
Affiliations
University of Cambridge (GB)
Corresponding author
Cordell, Heather J.
ORCID
Venue
Genetic Epidemiology
Publisher
Wiley
Published
2004-01-23
Volume
26
Issue
3
Pages
167-185
ISSN
  • 0741-0395 (ISSN-L)
  • 1098-2272
DOI
10.1002/gepi.10307
OpenAlex
W2049147602
Cited by
223
References
46
Citations by year
2026: 4 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 4 · 2021: 1 · 2020: 6 · 2019: 6 · 2018: 4 · 2017: 2 · 2016: 8 · 2015: 9 · 2014: 14 · 2013: 9 · 2012: 19
FWCI
7.30
Type
journal article
Language
en
Open access
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations
  • Genetic Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • Newcastle University ePrints (Newcastle Univesity)
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 › Forensic and Genetic Research
Keywords
case-parent trios, conditional logistic regression, genotype relative risk, haplotype association, gene-gene interaction, gene-environment interaction, parent-of-origin effects, population stratification
MeSH terms
Algorithms, Computer Simulation, Female, Genotype, Haplotypes, Humans, Male, Models, Genetic, Pedigree, Linkage Disequilibrium, Linear Models, Logistic Models

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