Evidence map›Paper›PMID 38839374›Full record

ArticleGenome research2024

Full-resolution HLA and KIR gene annotations for human genome assemblies.

Ying Zhou, Li Song, Heng Li

Abstract read
In one paragraph

Article in Genome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

23 citing papers in PubMed.

  1. Article
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  7. Classical HLA Allele and Haplotype Frequency Estimates in US Populations.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Efficient near telomere-to-telomere assembly of Nanopore Simplex reads.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. FuFiHLA: A tool for Full-Field HLA typing from long reads data.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Article
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  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ying ZhouDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA.ORCID 0000-0002-8107-3927
Li SongDepartment of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire 03755, USA.
Heng LiDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA; hli@jimmy.harvard.edu.ORCID 0000-0003-4874-2874

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Zhao - Proj 2P20GM130454 · NIGMS · DARTMOUTH COLLEGE · PI Li Song · 2019 to 2026
$27.2M
The WashU-UCSC-EBI Human Genome Reference Center."U41HG010972 · NHGRI · WASHINGTON UNIVERSITY · PI Ting Wang · 2019 to 2026
$24.9M
Dockstore: The Community Platform for Reproducible Biomedical Workflows and ApplicationsU24HG011853 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Jonathan Lawson, Benedict Paten · 2021 to 2026
$5.7M
Advanced computational methods in analyzing high-throughput sequencing dataR01HG010040 · NHGRI · DANA-FARBER CANCER INST · PI Heng Li · 2018 to 2026
$3.7M
The construction and utility of reference pan-genome graphsU01HG010961 · NHGRI · DANA-FARBER CANCER INST · PI LI, HENG, PATEN, BENEDICT · 2020 to 2023
$3.2M
Tools for comprehensive variant characterization using the pangenomeU01HG013748 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI LI, HENG, MARSCHALL, TOBIAS · 2024 to 2024
$1.7M
NCI NIH HHS P30 CA023108NHGRI NIH HHS R01 HG010040NHGRI NIH HHS U01 HG010961NHGRI NIH HHS U01 HG013748NHGRI NIH HHS U24 HG011853NIGMS NIH HHS P20 GM130454
6 · The paper itself

Abstract

The human leukocyte antigen (HLA) genes and the killer cell immunoglobulin-like receptor (KIR) genes are critical to immune responses and are associated with many immune-related diseases. Located in highly polymorphic regions, it is difficult to study them with traditional short-read alignment-based methods. Although modern long-read assemblers can often assemble these genes, using existing tools to annotate HLA and KIR genes in these assemblies remains a nontrivial task. Here, we describe Immuannot, a new computation tool to annotate the gene structures of HLA and KIR genes and to type the allele of each gene. Applying Immuannot to 56 regional and 212 whole-genome assemblies from previous studies, we annotate 9931 HLA and KIR genes and found that almost half of these genes, 4068, have novel sequences compared with the current Immuno Polymorphism Database (IPD). These novel gene sequences are represented by 2664 distinct alleles, some of which contained nonsynonymous variations, resulting in 92 novel protein sequences. We demonstrate the complex haplotype structures at the two loci and report the linkage between HLA/KIR haplotypes and gene alleles. We anticipate that Immuannot will speed up the discovery of new HLA/KIR alleles and enable the association of HLA/KIR haplotype structures with clinical outcomes in the future.

Indexed as

AllelesGenome, HumanHaplotypesHLA AntigensMolecular Sequence AnnotationReceptors, KIRHumansSoftwareHLA AntigensReceptors, KIR

Identifiers

PMID38839374
PMCPMC11610593

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Registered trials

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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.