Evidence map›Paper›PMID 23762245›Full record

ArticlePloS one2013

Imputing amino acid polymorphisms in human leukocyte antigens.

Xiaoming Jia, Buhm Han, Suna Onengut-Gumuscu, Wei-Min Chen, Patrick J Concannon, Stephen S Rich, Soumya Raychaudhuri, Paul I W de Bakker

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 418 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
418citing papers in PubMed, 12 pooled it
22.6field-weighted citation impact, top 1% 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

418 citing papers in PubMed, 12 syntheses or guidelines pooled it, 708 citations in OpenAlex.

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  18. HLA-B*44 Alleles and HLA-DQA1*03:01 as Genetic Risk Factors for Drug-Induced Liver Injury due to Fluoroquinolones.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
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358 more citing papers are in PubMed but not listed here.

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

8 authors at 5 institutions in 3 countries.

Xiaoming JiaHarvard-MIT (Massachusetts Institute of Technology) Division of Health Sciences and Technology, Boston, Massachusetts, United States of America.
Buhm Han
Suna Onengut-Gumuscu
Wei-Min Chen
Patrick J Concannon
Stephen S Rich
Soumya Raychaudhuri
Paul I W de Bakker
University of Virginia · USBrigham and Women's Hospital · USHarvard University · USMassachusetts Institute of Technology · USUniversity Medical Center Utrecht · NL

Funding

Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8M
Fine-mapping the MHC associations in rheumatoid arthritis from GWAS dataR01AR062886 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI RAYCHAUDHURI, SOUMYA · 2012 to 2013
$783k
Bioinformatics and Population Genetics to Identify Rheumatoid Arthritis GenesK08AR055688 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI RAYCHAUDHURI, SOUMYA · 2008 to 2012
$724k
Medical Research Council G0000934Medical Research Council G1001799NIAMS NIH HHS 1R01AR062886-01NIAMS NIH HHS K08 AR055688NIAMS NIH HHS K08AR055688NIAMS NIH HHS R01 AR062886NIDDK NIH HHS U01 DK062418Wellcome TrustWellcome Trust 068545/Z/02
6 · The paper itself

Abstract

DNA sequence variation within human leukocyte antigen (HLA) genes mediate susceptibility to a wide range of human diseases. The complex genetic structure of the major histocompatibility complex (MHC) makes it difficult, however, to collect genotyping data in large cohorts. Long-range linkage disequilibrium between HLA loci and SNP markers across the major histocompatibility complex (MHC) region offers an alternative approach through imputation to interrogate HLA variation in existing GWAS data sets. Here we describe a computational strategy, SNP2HLA, to impute classical alleles and amino acid polymorphisms at class I (HLA-A, -B, -C) and class II (-DPA1, -DPB1, -DQA1, -DQB1, and -DRB1) loci. To characterize performance of SNP2HLA, we constructed two European ancestry reference panels, one based on data collected in HapMap-CEPH pedigrees (90 individuals) and another based on data collected by the Type 1 Diabetes Genetics Consortium (T1DGC, 5,225 individuals). We imputed HLA alleles in an independent data set from the British 1958 Birth Cohort (N = 918) with gold standard four-digit HLA types and SNPs genotyped using the Affymetrix GeneChip 500 K and Illumina Immunochip microarrays. We demonstrate that the sample size of the reference panel, rather than SNP density of the genotyping platform, is critical to achieve high imputation accuracy. Using the larger T1DGC reference panel, the average accuracy at four-digit resolution is 94.7% using the low-density Affymetrix GeneChip 500 K, and 96.7% using the high-density Illumina Immunochip. For amino acid polymorphisms within HLA genes, we achieve 98.6% and 99.3% accuracy using the Affymetrix GeneChip 500 K and Illumina Immunochip, respectively. Finally, we demonstrate how imputation and association testing at amino acid resolution can facilitate fine-mapping of primary MHC association signals, giving a specific example from type 1 diabetes.

Indexed as

Polymorphism, Single NucleotideAllelesAmino AcidsChromosome MappingDiabetes Mellitus, Type 1Genetic Predisposition to DiseaseGenome-Wide Association StudyHaplotypesHapMap ProjectHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHLA AntigensHumansLinkage DisequilibriumWhite PeopleAmino AcidsHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHLA Antigens

Identifiers

PMID23762245
PMCPMC3675122
OpenAlexW2098951833

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.