ArticleHuman heredity2011
Detecting pleiotropy and epistasis using variance components linkage analysis in jPAP.
Article in Human heredity, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
- APOH interacts with FTO to predispose to healthy thinness.Human genetics · 2016Article
- A Copy Number Variant on Chromosome 20q13.3 Implicated in Thinness and Severe Obesity.Journal of obesity · 2015Article
- Five linkage regions each harbor multiple type 2 diabetes genes in the African American subset of the GENNID Study.Journal of human genetics · 2013Article
- Genetic variants associated with protein C levels.Journal of thrombosis and haemostasis : JTH · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
jPAP (Java Pedigree Analysis Package) performs variance components linkage analysis of either quantitative or discrete traits. Multivariate linkage analysis of two or more traits (all quantitative, all discrete, or any combination) allows the inference of pleiotropy between the traits. The inclusion of multiple quantitative trait loci in linkage analysis allows the inference of epistasis between loci. A user-friendly graphical user interface facilitates the usage of jPAP.
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Registered trials
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