Evidence map›Paper›PMID 39132491›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Haplotype Analysis Reveals Pleiotropic Disease Associations in the HLA Region.

Courtney J Smith, Satu Strausz, FinnGen, Jeffrey P Spence, Hanna M Ollila, Jonathan K Pritchard

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In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Courtney J SmithDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-7812-0083
Satu StrauszDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-6778-4848
FinnGen
Jeffrey P SpenceDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3199-1447
Hanna M OllilaInstitute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-5302-6429
Jonathan K PritchardDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-8828-5236

Funding

Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
Mapping Molecular and Phenotypic Interactions in Alzheimers DiseaseR01AG066490 · NIA · STANFORD UNIVERSITY · PI MONTGOMERY, STEPHEN · 2020 to 2024
$3.6M
NHGRI NIH HHS R01 HG008140NIA NIH HHS R01 AG066490
6 · The paper itself

Abstract

The human leukocyte antigen (HLA) region plays an important role in human health through involvement in immune cell recognition and maturation. While genetic variation in the HLA region is associated with many diseases, the pleiotropic patterns of these associations have not been systematically investigated. Here, we developed a haplotype approach to investigate disease associations phenome-wide for 412,181 Finnish individuals and 2,459 traits. Across the 1,035 diseases with a GWAS association, we found a 17-fold average per-SNP enrichment of hits in the HLA region. Altogether, we identified 7,649 HLA associations across 647 traits, including 1,750 associations uncovered by haplotype analysis. We find some haplotypes show trade-offs between diseases, while others consistently increase risk across traits, indicating a complex pleiotropic landscape involving a range of diseases. This study highlights the extensive impact of HLA variation on disease risk, and underscores the importance of classical and non-classical genes, as well as non-coding variation.

Identifiers

PMID39132491
PMCPMC11312630

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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.