ArticleAmerican journal of human genetics2000
Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data.
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. An erratum has been issued. Cited by 84 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
84 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions.European journal of human genetics : EJHG · 2013Pooled it
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- Genetic architecture reconciles linkage and association studies of complex traits.Nature genetics · 2024Article
- GWAS quality score for evaluating associated regions in GWAS analyses.Bioinformatics (Oxford, England) · 2023Article
- Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes.Cell genomics · 2022Article
- The Human Connectome Project: A retrospective.NeuroImage · 2021Review
- Integrating Family-Based and Mendelian Randomization Designs.Cold Spring Harbor perspectives in medicine · 2021Review
- Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies.Biochemia medica · 2021Article
- Estimating indirect parental genetic effects on offspring phenotypes using virtual parental genotypes derived from sibling and half sibling pairs.PLoS genetics · 2020Article
- Genome-wide association reveals a complex architecture for rust resistance in 2300 worldwide bread wheat accessions screened under various Australian conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Statistical power in genome-wide association studies and quantitative trait locus mapping.Heredity · 2019Article
- Clinical use of current polygenic risk scores may exacerbate health disparities.Nature genetics · 2019Review
- A genome-wide association study of mitochondrial DNA copy number in two population-based cohorts.Human genomics · 2019Article
- A scalable estimator of SNP heritability for biobank-scale data.Bioinformatics (Oxford, England) · 2018Article
- Discordant congenital Zika syndrome twins show differential in vitro viral susceptibility of neural progenitor cells.Nature communications · 2018Article
- Article
- Genetic Influences on Evening Preference Overlap with Those for Bipolar Disorder in a Sample of Mexican Americans and American Indians.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2017Article
- Genome-Wide Association Study of Psychosis Proneness in the Finnish Population.Schizophrenia bulletin · 2017Article
- Genome-Wide Association Study of Post-Traumatic Stress Disorder in Two High-Risk Populations.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2017Article
24 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Optimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of the power of QTL linkage versus QTL association analysis, under a range of different conditions. In this article, we investigate the power of QTL linkage and association analyses for simple random sibship samples, under the variance-components model proposed by Fulker et al. After a brief description of an extension of this variance-components model, we show that the powers of both linkage and association analyses are crucially dependent on the proportion of phenotypic variance attributable to the QTL. The main difference between the two tests is that, whereas the power of association is directly related to the QTL heritability, the power of linkage is related more closely to the square of the QTL heritability. We also describe both how the power of linkage is attenuated by incomplete linkage and incomplete marker information and how the power of association is attenuated by incomplete linkage disequilibrium.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.