Evidence map›Paper›PMID 16341054›Full record

ArticleGenes and immunity2006

An investigation of transmission ratio distortion in the central region of the human MHC.

N Hanchard, K Rockett, I Udalova, J Wilson, B Keating, O Koch, A Nijnik, M Diakite, M Herbert, D Kwiatkowski

Abstract read
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In one paragraph

Article in Genes and immunity, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 39% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 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

10 authors at 2 institutions in 1 country.

N HanchardWellcome Trust Centre for Human Genetics, Oxford, UK. neil.hanchard@green-oxford.com
K Rockett
I Udalova
J Wilson
B Keating
O Koch
A Nijnik
M Diakite
M Herbert
D Kwiatkowski
Centre for Human Genetics · GBUniversity of Oxford · GB

Funding

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

Abstract

Transmission ratio distortion (TRD) describes a significant departure from expected Mendelian inheritance ratios that is fundamental to both the biology of reproduction and statistical genetics. The relatively high fetal wastage in humans, with consequent selection of alleles in utero, makes it likely that TRD is prevalent in the human genome. The central region of the human major histocompatibility complex (MHC) is a strong TRD candidate, as it houses a number of immune and regulatory genes that may be important in pregnancy outcome. We used a nonhaplotype-based method to select 13 tagging SNPs from three central MHC candidate regions, and analysed their transmission in 380 newborns and their parents (1138 individuals). A TRD of 54:46 was noted in favour of the common allele of a promoter SNP in the CLIC1 gene (P = 0.025), with a similar distortion using haplotypes across the same gene region (P = 0.016). We also found evidence that markers in the CLIC1 gene region may have been subject to recent selection (P < 0.001). The study illustrates the potential benefits of screening for TRD and highlights the difficulties encountered therein.

Indexed as

BiomarkersFemaleHaplotypesHomeodomain ProteinsHumansLymphotoxin-alphaMajor Histocompatibility ComplexMalePolymorphism, Single NucleotidePregnancyProspective StudiesProto-Oncogene ProteinsReceptor, Notch4Receptors, NotchTumor Necrosis Factor-alphaBiomarkersHomeodomain ProteinsLymphotoxin-alphaNOTCH4 protein, humanPBX2 protein, humanProto-Oncogene ProteinsReceptor, Notch4Receptors, NotchTumor Necrosis Factor-alpha

Identifiers

PMID16341054
OpenAlexW2049877084

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.