ArticleAmerican journal of human genetics2002
Meta-analysis of genetic-linkage analysis of quantitative-trait loci.
Article in American journal of human genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.
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
9 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Meta-assembly of genomic associations to identify cattle fat depot candidate genes and pleiotropic effects.BMC genomics · 2024Pooled it
- Multi-environment mapping and meta-analysis of 100-seed weight in soybean.Molecular biology reports · 2012Pooled it
- Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population.BMC plant biology · 2010Pooled it
- Genome-wide meta-analysis for rheumatoid arthritis.Human genetics · 2006Pooled it
- Meta-QTL analysis in wheat: progress, challenges and opportunities.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Review
- MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments.BMC bioinformatics · 2007Article
- An empirical Bayes method for updating inferences in analysis of quantitative trait loci using information from related genome scans.Genetics · 2006Article
- An updated meta-analysis approach for genetic linkage.BMC genetics · 2005Article
- "Are we there yet?": Deciding when one has demonstrated specific genetic causation in complex diseases and quantitative traits.American journal of human genetics · 2003Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Meta-analysis is an important tool in linkage analysis. The pooling of results across primary linkage studies allows greater statistical power to detect quantitative-trait loci (QTLs) and more-precise estimation of their genetic effects and, hence, yields conclusions that are stronger relative to those of individual studies. Previous methods for the meta-analysis of linkage studies have been proposed, and, although some methods address the problem of between-study heterogeneity, most methods still require linkage analysis at the same marker or set of markers across studies, whereas others do not result in an estimate of genetic variance. In this study, we present a meta-analytic procedure to evaluate evidence from several studies that report Haseman-Elston statistics for linkage to a QTL at multiple, possibly distinct, markers on a chromosome. This technique accounts for between-study heterogeneity and estimates both the location of the QTL and the magnitude of the genetic effect more precisely than does an individual study. We also provide standard errors for the genetic effect and for the location (in cM) of the QTL, using a resampling method. The approach can be applied under other conditions, provided that the various studies use the same linkage statistic.
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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.