ArticleAmerican journal of human genetics1997
Genomewide transmission/disequilibrium testing--consideration of the genotypic relative risks at disease loci.
Article in American journal of human genetics, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Multiple Genetic Associations with Irish Wolfhound Dilated Cardiomyopathy.BioMed research international · 2016Article
- Basic statistical analysis in genetic case-control studies.Nature protocols · 2011Article
- The power of the Transmission Disequilibrium Test in the presence of population stratification.European journal of human genetics : EJHG · 2010Article
- A genome-wide investigation of SNPs and CNVs in schizophrenia.PLoS genetics · 2009Article
- Power of genetic association studies in the presence of linkage disequilibrium and allelic heterogeneity.Human heredity · 2008Article
- PedGenie: meta genetic association testing in mixed family and case-control designs.BMC bioinformatics · 2007Article
- Estimating risks of common complex diseases across genetic and environmental factors: the example of Crohn disease.Journal of medical genetics · 2007Article
- Article
- Association study of myo-inositol monophosphatase 2 (IMPA2) polymorphisms with bipolar affective disorder and response to lithium treatment.The pharmacogenomics journal · 2005Article
- Performance of high-throughput DNA quantification methods.BMC biotechnology · 2003Article
- Candidate genes for anorexia nervosa in the 1p33-36 linkage region: serotonin 1D and delta opioid receptor loci exhibit significant association to anorexia nervosa.Molecular psychiatry · 2003Article
- Power calculations for a general class of family-based association tests: dichotomous traits.American journal of human genetics · 2002Article
- Screening ABCG1, the human homologue of the Drosophila white gene, for polymorphisms and association with bipolar affective disorder.Molecular psychiatry · 2001Article
- Optimized group sequential study designs for tests of genetic linkage and association in complex diseases.American journal of human genetics · 2001Article
- Multipoint linkage-disequilibrium-mapping approach based on the case-parent trio design.American journal of human genetics · 2001Article
- Population structure in admixed populations: effect of admixture dynamics on the pattern of linkage disequilibrium.American journal of human genetics · 2001Article
- General equations for Pt, Ps, and the power of the TDT and the affected-sib-pair test.American journal of human genetics · 2000Article
- Data mining applied to linkage disequilibrium mapping.American journal of human genetics · 2000Article
- Detecting low penetrance genes in cancer: the way ahead.Journal of medical genetics · 2000Review
- Pooled genotyping of microsatellite markers in parent-offspring trios.Genome research · 2000Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomewide association studies are set to become the tool of the future for detection of small-effect genes in complex diseases. It will therefore be necessary to calculate sufficient sample sizes with which to perform them. In this paper I illustrate how to calculate the required number of families for general genotypic relative risks (GRRs). I show the superior sensitivity of the genomewide association study over the standard genomewide affected-sib-pair linkage analysis, for a range of different underlying GRR patterns. I also illustrate the extent of change in the sample sizes that is necessary for a genomewide association analysis depending on the pattern of the GRRs at the disease locus. In many cases, the comparative numbers of families required under different genetic mechanisms vary by several orders of magnitude. These sometimes dramatic differences have important implications for the determination of the size of the collection of samples prior to analysis and for the types of effects that are likely--and unlikely--to be detected by such an analysis.
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