Evidence map›Paper›PMID 37923823›Full record

ArticleCommunications biology2023

HLA allele-calling using multi-ancestry whole-exome sequencing from the UK Biobank identifies 129 novel associations in 11 autoimmune diseases.

Guillaume Butler-Laporte, Joseph Farjoun, Tomoko Nakanishi, Tianyuan Lu, Erik Abner, Yiheng Chen, Michael Hultström, Andres Metspalu, Lili Milani, Reedik Mägi and 13 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Genetic evidence suggests a protective role of immunoglobulin M in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Article
  6. Review
  7. Shared trans-ancestry architecture of HLA-mediated disease risk in themedRxiv : the preprint server for health sciences · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Haplotype Analysis Reveals Pleiotropic Disease Associations in the HLA Region.medRxiv : the preprint server for health sciences · 2024
    Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 7 institutions in 5 countries.

Guillaume Butler-LaporteDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada. guillaume.butler-laporte@mcgill.ca.ORCID http://orcid.org/0000-0001-5388-0396
Joseph FarjounLady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Tomoko NakanishiLady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.ORCID http://orcid.org/0000-0001-9510-5646
Tianyuan LuLady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.ORCID http://orcid.org/0000-0002-5664-5698
Erik AbnerEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.ORCID http://orcid.org/0000-0002-6529-3161
Yiheng ChenLady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Michael HultströmDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada.ORCID http://orcid.org/0000-0003-4675-1099
Andres MetspaluEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.ORCID http://orcid.org/0000-0002-3718-796X
Lili MilaniEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.ORCID http://orcid.org/0000-0002-5323-3102
Reedik MägiEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.ORCID http://orcid.org/0000-0002-2964-6011
Mari NelisEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
Georgi HudjashovEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
Estonian Biobank Research Team
Satoshi YoshijiLady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Yann IlboudoLady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Kevin Y H LiangLady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Chen-Yang SuLady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.ORCID http://orcid.org/0000-0001-6071-4660
Julian D S WillettLady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.ORCID http://orcid.org/0000-0002-8103-0329
Tõnu EskoEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
Sirui ZhouDepartment of Human Genetics, McGill University, Montréal, QC, Canada.
Vincenzo ForgettaLady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Daniel TaliunDepartment of Human Genetics, McGill University, Montréal, QC, Canada.
J Brent RichardsDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada.ORCID http://orcid.org/0000-0002-3746-9086
Jewish General Hospital · CAUniversity of Tartu · EEJapan Society for the Promotion of Science · JPMcGill University · CACentre for Human Genetics · GBKing's College London · GBUppsala University · SE

Funding

Cancer Research UK C18281/A29019
6 · The paper itself

Abstract

The human leukocyte antigen (HLA) region on chromosome 6 is strongly associated with many immune-mediated and infection-related diseases. Due to its highly polymorphic nature and complex linkage disequilibrium patterns, traditional genetic association studies of single nucleotide polymorphisms do not perform well in this region. Instead, the field has adopted the assessment of the association of HLA alleles (i.e., entire HLA gene haplotypes) with disease. Often based on genotyping arrays, these association studies impute HLA alleles, decreasing accuracy and thus statistical power for rare alleles and in non-European ancestries. Here, we use whole-exome sequencing (WES) from 454,824 UK Biobank (UKB) participants to directly call HLA alleles using the HLA-HD algorithm. We show this method is more accurate than imputing HLA alleles and harness the improved statistical power to identify 360 associations for 11 auto-immune phenotypes (at least 129 likely novel), leading to better insights into the specific coding polymorphisms that underlie these diseases. We show that HLA alleles with synonymous variants, often overlooked in HLA studies, can significantly influence these phenotypes. Lastly, we show that HLA sequencing may improve polygenic risk scores accuracy across ancestries. These findings allow better characterization of the role of the HLA region in human disease.

Indexed as

Autoimmune DiseasesBiological Specimen BanksAllelesExome SequencingGenetic Predisposition to DiseaseHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHLA AntigensHumansPolymorphism, Single NucleotideUnited KingdomHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHLA Antigens

Identifiers

PMID37923823
PMCPMC10624861
OpenAlexW4388303791

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.