ArticleBMC proceedings2011
Linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two African samples.
Article in BMC proceedings, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Identifying cryptic population structure in multigenerational pedigrees in a Mexican American sample.BMC proceedings · 2014Article
- Application of Bayesian network structure learning to identify causal variant SNPs from resequencing data.BMC proceedings · 2011Article
- Stratify or adjust? Dealing with multiple populations when evaluating rare variants.BMC proceedings · 2011Article
- Incorporating linkage information into a common disease/rare variant framework.Genetic epidemiology · 2011Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We report two approaches for linkage analysis of data consisting of replicate phenotypes. The first approach is specifically designed for the unusual (in human data) replicate structure of the Genetic Analysis Workshop 17 pedigree data. The second approach consists of a standard linkage analysis that, although not specifically tailored to data consisting of replicate genotypes, was envisioned as providing a sounding board against which our novel approach could be assessed. Both approaches are applied to the analysis of three quantitative phenotypes (Q1, Q2, and Q4) in two sets of African families. All analyses were carried out blind to the generating model (i.e., the "answers"). Using both methods, we found numerous significant linkage signals for Q1, although population colocalization was absent for most of these signals. The linkage analysis of Q2 and Q4 failed to reveal any strong linkage signals.
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Registered trials
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