ArticleAmerican journal of human genetics1993
Extended multipoint identity-by-descent analysis of human quantitative traits: efficiency, power, and modeling considerations.
Article in American journal of human genetics, 1993. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
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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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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.
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Who cites it
41 citing papers in PubMed.
- Contribution of Inbred Singletons to Variance Component Estimation of Heritability and Linkage.Human heredity · 2018Article
- Linkage analysis in the next-generation sequencing era.Human heredity · 2011Review
- Statistical Analysis in Genetic Studies of Mental Illnesses.Statistical science : a review journal of the Institute of Mathematical Statistics · 2011Article
- Bayesian shrinkage mapping of quantitative trait loci in variance component models.BMC genetics · 2010Article
- Reconsidering the asymptotic null distribution of likelihood ratio tests for genetic linkage in multivariate variance components models under complete pleiotropy.Biostatistics (Oxford, England) · 2010Article
- Univariate/multivariate genome-wide association scans using data from families and unrelated samples.PloS one · 2009Article
- Article
- Article
- EM-random forest and new measures of variable importance for multi-locus quantitative trait linkage analysis.Bioinformatics (Oxford, England) · 2008Article
- Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.Human heredity · 2008Review
- Quantitative trait locus analysis of hybrid pedigrees: variance-components model, inbreeding parameter, and power.BMC genetics · 2007Article
- Article
- Design of a family study among high-risk Caribbean Hispanics: the Northern Manhattan Family Study.Ethnicity & disease · 2007Article
- A powerful and robust method for mapping quantitative trait loci in general pedigrees.American journal of human genetics · 2005Article
- The use of neurophysiological endophenotypes to understand the genetic basis of schizophrenia.Dialogues in clinical neuroscience · 2005Review
- Linkage analysis of ordinal traits for pedigree data.Proceedings of the National Academy of Sciences of the United States of America · 2004Article
- Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait.BMC genetics · 2003Article
- Genetic linkage analysis of a dichotomous trait incorporating a tightly linked quantitative trait in affected sib pairs.American journal of human genetics · 2003Article
- Use of multivariate linkage analysis for dissection of a complex cognitive trait.American journal of human genetics · 2003Article
- Powerful regression-based quantitative-trait linkage analysis of general pedigrees.American journal of human genetics · 2002Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Goldgar introduced a novel marker-based method for partitioning the variation of a quantitative trait into specific chromosomal regions. Unlike traditional linkage mapping methods, Goldgar's method does not require the estimation of statistical quantities characterizing each locus thought to influence the trait under scrutiny (e.g., allele frequencies, penetrances, etc.). Goldgar's method is thus more flexible and less model dependent than many traditional marker-based genetic analysis techniques. Unfortunately, however, many of the properties of Goldgar's method have not been investigated. In this paper, the utility of an extended version of Goldgar's approach is studied in settings in which sibships are taken as the sampling unit of interest. The extensions discussed resolve around the incorporation of a wider variety of effects and factors into Goldgar's basic model. Analytic studies pertaining to power, sample-size requirements, and estimation procedures for the proposed extended version of Goldgar's method are described. Hypothesis-testing strategies are also discussed. The results of the analytic studies indicate that, although an extended sib-pair version of Goldgar's variance-partitioning approach to modeling the chromosomal determinants of a quantitative trait will be useful only for traits with high heritabilities or when fine-scale genetic maps can be employed. Goldgar's technique as a whole has promise, as it can be made relatively robust statistically, refined through some simple and intuitive extensions, and can be easily adapted to work with more complex sampling units. Further extensions of Goldgar's methods are proposed, and areas in need of additional research are discussed.
Indexed as
Identifiers
8250047PMC1682505What Socratic 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 Socratic graph.