ArticleAmerican journal of human genetics2000
General equations for Pt, Ps, and the power of the TDT and the affected-sib-pair test.
Article in American journal of human genetics, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- BDNF gene is a risk factor for schizophrenia in a Scottish population.Molecular psychiatry · 2005Trial
- Association of BDNF Gene Val66Met Polymorphism with Suicide Attempts, Focused Attention and Response Inhibition in Patients with Schizophrenia.Noro psikiyatri arsivi · 2022Article
- Power of genetic association studies in the presence of linkage disequilibrium and allelic heterogeneity.Human heredity · 2008Article
- Novel case-control test in a founder population identifies P-selectin as an atopy-susceptibility locus.American journal of human genetics · 2003Article
- Evidence that the N-methyl-D-aspartate subunit 1 receptor gene (GRIN1) confers susceptibility to bipolar disorder.Molecular psychiatry · 2003Article
- The brain-derived neurotrophic factor gene confers susceptibility to bipolar disorder: evidence from a family-based association study.American journal of human genetics · 2002Article
- Family-based association study of the serotonin-2A receptor gene (5-HT2A) and bipolar disorder.Neuromolecular medicine · 2002Article
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Authors and funding
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Abstract
Several equations are highlighted here, whose algebraic symmetries and generality make them very useful for understanding and comparing the properties of the transmission disequilibrium test (TDT) and affected sib-pair test. Methods using the equations are also presented that yield precise estimates of sample sizes needed for genome scans or for testing a single candidate gene, and these power methods are shown to compare favorably with alternative approaches recently described by Knapp (1999) and by Tu and Whittemore (1999). Simple relationships are also noted that summarize the relative sample sizes required for equivalent power to detect association by the TDT or case-control designs. As single-nucleotide polymorphism (SNP) maps revolutionize the search for disease-causing genes, the equations should prove useful for planning and evaluating studies of linkage and association across a broad range of possible disease models and relationships between markers and linked disease loci.
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