Evidence map›Paper›PMID 30590525›Full record

ArticleHuman molecular genetics2019

Construction and benchmarking of a multi-ethnic reference panel for the imputation of HLA class I and II alleles.

Frauke Degenhardt, Mareike Wendorff, Michael Wittig, Eva Ellinghaus, Lisa W Datta, John Schembri, Siew C Ng, Elisa Rosati, Matthias Hübenthal, David Ellinghaus and 18 more

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Gut · 2024
    Article
  7. HLA Genes: A Hallmark of Functional Genetic Variation and Complex Evolution.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Assessing HLA imputation accuracy in a West African population.bioRxiv : the preprint server for biology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Analysis ofFrontiers in endocrinology · 2022
    Article
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

28 authors at 15 institutions in 11 countries.

Frauke DegenhardtInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Mareike WendorffInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Michael WittigInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Eva EllinghausK.G. Jebsen Inflammation Research Centre, Institute of Clinical Medicine, University of Oslo, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Lisa W DattaDepartment of Medicine, Meyerhoff Inflammatory Bowel Disease Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
John SchembriDivision of Gastroenterology, Mater Dei Hospital, Msida MSD, Malta.
Siew C NgDepartment of Medicine and Therapeutics, Institute of Digestive Disease, LKS Institute of Health Science, State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China.
Elisa RosatiInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Matthias HübenthalInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
David EllinghausInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Eun Suk JungInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Wolfgang LiebBiobank PopGen and Institute of Epidemiology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Shifteh AbedianDepartment of Epidemiology, University Medical Center Groningen, RB Groningen, The Netherlands.
Reza MalekzadehDigestive Disease Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Jae Hee CheonDepartment of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Pierre EllulDivision of Gastroenterology, Mater Dei Hospital, Msida MSD, Malta.
Ajit SoodDepartment of Gastroenterology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India.
Vandana MidhaDepartment of Gastroenterology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India.
B K ThelmaDepartment of Genetics, University of Delhi South Campus, New Delhi, India.
Sunny H WongDepartment of Medicine and Therapeutics, Institute of Digestive Disease, LKS Institute of Health Science, State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China.
Stefan SchreiberInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Keiko YamazakiLaboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN Yokohama Institute, Yokohama, Japan.
Michiaki KuboRIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Gabrielle BoucherMontreal Heart Institute, Research Center, Montréal, Québec, Canada.
John D RiouxMontreal Heart Institute, Research Center, Montréal, Québec, Canada.
Tobias L LenzResearch Group for Evolutionary Immunogenomics, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Steven R BrantDepartment of Medicine, Meyerhoff Inflammatory Bowel Disease Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Andre FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Kiel University · DEChinese University of Hong Kong · CNDayanand Medical College & Hospital · INMater Dei Hospital · MTMontreal Heart Institute · CATehran University of Medical Sciences · IRYonsei University · KRJohns Hopkins Medicine · USJohns Hopkins University · USMax Planck Institute for Evolutionary Biology · DENihon University · JPRIKEN Center for Integrative Medical Sciences · JPUniversity of Delhi · INUniversity of Lübeck · DEUniversity of Oslo · NO

Funding

Yale University Inflammatory Bowel Disease Genetics Research CenterU01DK062422 · NIDDK · YALE UNIVERSITY · PI Ling-shiang Chuang · 2002 to 2026
$10.8M
IBD Gene Mapping by Clinical and Population SubsetsU01DK062431 · NIDDK · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Steven R Brant · 2002 to 2026
$10.7M
Universite de Montreal IBD Genetics Research CenterU01DK062432 · NIDDK · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI John D. Rioux · 2002 to 2026
$9.6M
NIDDK IBD Genetics Consortium Genetic Research CenterU01DK062420 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUERR, RICHARD H · 2002 to 2021
$7.8M
Impact of Genetic Variability on Cellular Pathways and Host-Microbiome InteractioU01DK062423 · NIDDK · SINAI HEALTH SYSTEM · PI MARK S. SILVERBERG · 2002 to 2026
$7.5M
NIDDK NIH HHS U01 DK062420NIDDK NIH HHS U01 DK062422NIDDK NIH HHS U01 DK062423NIDDK NIH HHS U01 DK062431NIDDK NIH HHS U01 DK062432
6 · The paper itself

Abstract

Genotype imputation of the human leukocyte antigen (HLA) region is a cost-effective means to infer classical HLA alleles from inexpensive and dense SNP array data. In the research setting, imputation helps avoid costs for wet lab-based HLA typing and thus renders association analyses of the HLA in large cohorts feasible. Yet, most HLA imputation reference panels target Caucasian ethnicities and multi-ethnic panels are scarce. We compiled a high-quality multi-ethnic reference panel based on genotypes measured with Illumina's Immunochip genotyping array and HLA types established using a high-resolution next generation sequencing approach. Our reference panel includes more than 1,300 samples from Germany, Malta, China, India, Iran, Japan and Korea and samples of African American ancestry for all classical HLA class I and II alleles including HLA-DRB3/4/5. Applying extensive cross-validation, we benchmarked the imputation using the HLA imputation tool HIBAG, our multi-ethnic reference and an independent, previously published data set compiled of subpopulations of the 1000 Genomes project. We achieved average imputation accuracies higher than 0.924 for the commonly studied HLA-A, -B, -C, -DQB1 and -DRB1 genes across all ethnicities. We investigated allele-specific imputation challenges in regard to geographic origin of the samples using sensitivity and specificity measurements as well as allele frequencies and identified HLA alleles that are challenging to impute for each of the populations separately. In conclusion, our new multi-ethnic reference data set allows for high resolution HLA imputation of genotypes at all classical HLA class I and II genes including the HLA-DRB3/4/5 loci based on diverse ancestry populations.

Indexed as

AllelesAsian PeopleBenchmarkingBlack or African AmericanCluster AnalysisEthnicityGene FrequencyGenotypeHaplotypesHigh-Throughput Nucleotide SequencingHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHLA AntigensHLA-DRB3 ChainsHLA-DRB4 ChainsHLA-DRB5 ChainsHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHLA AntigensHLA-DRB3 ChainsHLA-DRB4 ChainsHLA-DRB5 Chains

Identifiers

PMID30590525
PMCPMC6548229
OpenAlexW2906116238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.