ArticleImmunogenetics2006
Implications of inter-population linkage disequilibrium patterns on the approach to a disease association study in the human MHC class III.
Article in Immunogenetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 12 citations in OpenAlex.
- Interferon-gamma polymorphisms and risk of iron deficiency and anaemia in Gambian children.Wellcome open research · 2020Article
- Large-scale association analysis of TNF/LTA gene region polymorphisms in type 2 diabetes.BMC medical genetics · 2010Article
- Family-based analysis of tumor necrosis factor and lymphotoxin-alpha tag polymorphisms with type 1 diabetes in the population of South Croatia.Human immunology · 2009Article
- Tumor necrosis factor SNP haplotypes are associated with iron deficiency anemia in West African children.Blood · 2008Article
- Genetic variation at the TNF locus and the risk of severe sequelae of ocular Chlamydia trachomatis infection in Gambians.Genes and immunity · 2007Article
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Authors and funding
12 authors at 4 institutions in 3 countries.
Funding
Abstract
There is presently much interest in utilizing patterns of linkage disequilibrium (LD) to further genetic association studies. This is particularly pertinent in the class III region of the human major histocompatibility complex (MHC), which has been extensively studied as a disease susceptibility locus in a number of ethnic groups. To date, however, few studies of LD in the MHC have considered non-Caucasian populations. With the advent of large-scale haplotyping of the human genome, the question of utilizing LD patterns across populations has come to the fore. We have previously used LD mapping to direct an MHC class III association study in a UK Caucasian population. As an extension of this, we sought to determine to what extent the pattern of LD observed in that study could be used to conduct a similar study in a West African Gambian population. We found that broad patterns of LD were similar in the two populations, resulting in similar candidate region delineations, but at a higher resolution, marker-specific patterns of LD and population-dependent allele frequencies confounded the choice of regional tagging SNPs. Our results have implications for the applicability of large-scale haplotype maps such as the HapMap to complex regions like the MHC.
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