ArticleAmerican journal of human genetics2007
Genome scanning by composite likelihood.
Article in American journal of human genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis 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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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- CHROMSCAN: genome-wide association using a linkage disequilibrium map.Journal of human genetics · 2008Pooled it
- Article
- Genome-wide association of breast cancer: composite likelihood with imputed genotypes.European journal of human genetics : EJHG · 2011Article
- A composite-likelihood approach for identifying polymorphisms that are potentially directly associated with disease.European journal of human genetics : EJHG · 2009Article
- Individual disease risk and multimetric analysis of Crohn disease.Proceedings of the National Academy of Sciences of the United States of America · 2008Article
- A multimetric approach to analysis of genome-wide association by single markers and composite likelihood.Proceedings of the National Academy of Sciences of the United States of America · 2008Article
- Fine-scale linkage disequilibrium mapping of age-related macular degeneration in the complement factor H gene region.The British journal of ophthalmology · 2007Article
- Mapping a gene for rheumatoid arthritis on chromosome 18q21.BMC proceedings · 2007Article
- Impact of marker density on the accuracy of association mapping.BMC proceedings · 2007Article
- Association mapping of susceptibility loci for rheumatoid arthritis.BMC proceedings · 2007Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Ambitious programs have recently been advocated or launched to create genomewide databases for meta-analysis of association between DNA markers and phenotypes of medical and/or social concern. A necessary but not sufficient condition for success in association mapping is that the data give accurate estimates of both genomic location and its standard error, which are provided for multifactorial phenotypes by composite likelihood. That class includes the Malecot model, which we here apply with an illustrative example. This preliminary analysis leads to five inferences: permutation of cases and controls provides a test of association free of autocorrelation; two hypotheses give similar estimates, but one is consistently more accurate; estimation of the false-discovery rate is extended to causal genes in a small proportion of regions; the minimal data for successful meta-analysis are inferred; and power is robust for all genomic factors except minor-allele frequency. An extension to meta-analysis is proposed. Other approaches to genome scanning and meta-analysis should, if possible, be similarly extended so that their operating characteristics can be compared.
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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.