Evidence map›Paper›PMID 16738941›Full record

ArticleImmunogenetics2006

Implications of inter-population linkage disequilibrium patterns on the approach to a disease association study in the human MHC class III.

Neil Hanchard, Mahamadou Diakite, Oliver Koch, Brendan Keating, Margaret Pinder, Muminatou Jallow, Fatou Sisay-Joof, Anastasia Nijnik, Jonathan Wilson, Irina Udalova and 2 more

Abstract read
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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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Neil HanchardWellcome Trust Centre for Human Genetics, Oxford, UK. neil.hanchard@green-oxford.com
Mahamadou Diakite
Oliver Koch
Brendan Keating
Margaret Pinder
Muminatou Jallow
Fatou Sisay-Joof
Anastasia Nijnik
Jonathan Wilson
Irina Udalova
Dominic Kwiatkowski
Kirk Rockett
Centre for Human Genetics · GBMRC Unit the Gambia · GMUniversity of Oxford · GBUniversity of the West · US

Funding

Medical Research Council G19/9Medical Research Council G9505090
6 · The paper itself

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.

Indexed as

Linkage DisequilibriumChromosome MappingEthnicityGambiaGenetic Predisposition to DiseaseHaplotypesHumansMajor Histocompatibility ComplexPolymorphism, Single NucleotidePopulation

Identifiers

PMID16738941
OpenAlexW2063478222

What OpenQuestion holds

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Registered trials

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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.