Evidence map›Paper›PMID 33575586›Full record

ArticleNAR genomics and bioinformatics2020

Increasing accuracy of HLA imputation by a population-specific reference panel in a FinnGen biobank cohort.

Jarmo Ritari, Kati Hyvärinen, Jonna Clancy, FinnGen, Jukka Partanen, Satu Koskela

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
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  3. GWAS of Second-Generation Antihistamine Use: Locus Specificity and Highlighted Signalling Pathways.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
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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

6 authors at 1 institution in 1 country.

Jarmo RitariResearch and Development, Finnish Red Cross Blood Service, Kivihaantie 7, 00310 Helsinki, Finland.
Kati HyvärinenResearch and Development, Finnish Red Cross Blood Service, Kivihaantie 7, 00310 Helsinki, Finland.
Jonna ClancyResearch and Development, Finnish Red Cross Blood Service, Kivihaantie 7, 00310 Helsinki, Finland.
FinnGen
Jukka PartanenResearch and Development, Finnish Red Cross Blood Service, Kivihaantie 7, 00310 Helsinki, Finland.ORCID 0000-0001-6681-4734
Satu KoskelaResearch and Development, Finnish Red Cross Blood Service, Kivihaantie 7, 00310 Helsinki, Finland.ORCID 0000-0001-9258-9163
Finnish Red Cross · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HLA genes, the most polymorphic genes in the human genome, constitute the strongest single genetic susceptibility factor for autoimmune diseases, transplantation alloimmunity and infections. HLA imputation via statistical inference of alleles based on single-nucleotide polymorphisms (SNPs) in linkage disequilibrium (LD) with alleles is a powerful first-step screening tool. Due to different LD structures between populations, the accuracy of HLA imputation may benefit from matching the imputation reference with the study population. To evaluate the potential advantage of using population-specific reference in HLA imputation, we constructed an HLA reference panel consisting of 1150 Finns with 5365 major histocompatibility complex region SNPs consistent between genome builds. We evaluated the accuracy of the panel against a European panel in an independent test set of 213 Finnish subjects. We show that the Finnish panel yields a lower imputation error rate (1.24% versus 1.79%). More than 30% of imputation errors occurred in haplotypes enriched in Finland. The frequencies of imputed HLA alleles were highly correlated with clinical-grade HLA allele frequencies and allowed accurate replication of established HLA-disease associations in ∼102 000 biobank participants. The results show that a population-specific reference increases imputation accuracy in a relatively isolated population within Europe and can be successfully applied to biobank-scale genome data collections.

Identifiers

PMID33575586
PMCPMC7671345
OpenAlexW3022622814

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.