ArticleAmerican journal of human genetics2000
QTL fine mapping by measuring and testing for Hardy-Weinberg and linkage disequilibrium at a series of linked marker loci in extreme samples of populations.
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 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Fetal hemoglobin in sickle cell anemia: genetic determinants of response to hydroxyurea.The pharmacogenomics journal · 2007Trial
- SPAmix: a scalable, accurate, and universal analysis framework for large-scale genetic association studies in admixed populations.Genome biology · 2025Article
- A maize near-isogenic line population designed for gene discovery and characterization of allelic effects.The Plant journal : for cell and molecular biology · 2025Article
- Quantitative Trait Loci Identification by Estimating the Genetic Model based on the Extremal Samples.Current genomics · 2021Review
- Identifying rare variants for quantitative traits in extreme samples of population via Kullback-Leibler distance.BMC genetics · 2020Article
- Deciphering the regulation of porcine genes influencing growth, fatness and yield-related traits through genetical genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2017Article
- A multi-SNP association test for complex diseases incorporating an optimal P-value threshold algorithm in nuclear families.BMC genomics · 2015Article
- A genome-wide linkage study of individuals with high scores on NEO personality traits.Molecular psychiatry · 2012Article
- Interaction of Crohn's disease susceptibility genes in an Australian paediatric cohort.PloS one · 2010Article
- Powerful multi-marker association tests: unifying genomic distance-based regression and logistic regression.Genetic epidemiology · 2010Article
- Bivariate association analyses for the mixture of continuous and binary traits with the use of extended generalized estimating equations.Genetic epidemiology · 2009Article
- Recessive genetic mode of an ADH4 variant in substance dependence in African-Americans: A model of utility of the HWD test.Behavioral and brain functions : BBF · 2008Article
- Genetic model selection in two-phase analysis for case-control association studies.Biostatistics (Oxford, England) · 2008Article
- Survival quantitative trait locus fine mapping by measuring and testing for Hardy-Weinberg and linkage disequilibrium.Genetics · 2007Article
- Role of genetics in osteoporosis.Endocrine · 2002Review
- Identifying disease genes underlying complex traits.Clinical reviews in allergy & immunology · 2002Article
- Population admixture may appear to mask, change or reverse genetic effects of genes underlying complex traits.Genetics · 2001Article
- Article
- Inflated false-positive rates in Hardy-Weinberg and linkage-equilibrium tests are due to sampling on the basis of rare familial phenotypes in finite populations.American journal of human genetics · 2000Article
- QTL fine mapping, in extreme samples of finite populations, for complex traits with familial correlation due to polygenes.American journal of human genetics · 2000Article
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
3 authors.
Funding
Abstract
It has recently been demonstrated that fine-scale mapping of a susceptibility locus for a complex disease can be accomplished on the basis of deviations from Hardy-Weinberg (HW) equilibrium at closely linked marker loci among affected individuals. We extend this theory to fine-scale localization of a quantitative-trait locus (QTL) from extreme individuals in populations, by means of HW and linkage-disequilibrium (LD) analyses. QTL mapping and/or linkage analyses can establish a large genomic region ( approximately 30 cM) that contains a QTL. The QTL can be fine mapped by examination of the degree of deviation from HW and LD at a series of closely linked marker loci. The tests can be performed for samples of individuals belonging to either high or low percentiles of the phenotype distribution or for combined samples of these extreme individuals. The statistical properties (the power and the size) of the tests of this fine-mapping approach are investigated and are compared extensively, under various genetic models and parameters for the QTL and marker loci. On the basis of the results, a two-stage procedure that uses extreme samples and different tests (for HW and LD) is suggested for QTL fine mapping. This two-step procedure is economic and powerful and can accurately narrow a genomic region containing a QTL from approximately 30-1 cM, a range that renders physical mapping feasible for identification of the QTL. In addition, the relationship between parameterizations of complex diseases, by means of penetrance, and those of complex quantitative traits, by means of genotypic values, is outlined. This means that many statistical genetic methods developed for searching for susceptibility loci of complex diseases can be directly adopted and/or extended to QTL mapping for quantitative traits.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.