Evidence map›Paper›PMID 37169596›Full record

ArticleGenome research2023

Efficient and accurate KIR and HLA genotyping with massively parallel sequencing data.

Li Song, Gali Bai, X Shirley Liu, Bo Li, Heng Li

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
  5. HLA Alleles and Haplotype Distribution Across Russian Population Groups.International journal of molecular sciences · 2026
    Article
  6. Aberrant CD4bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long-Read Data.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. T Cell Receptor Sharing in Hypersensitivity Pneumonitis.Computational and structural biotechnology journal · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. FuFiHLA: A tool for Full-Field HLA typing from long reads data.bioRxiv : the preprint server for biology · 2025
    Article
  20. 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

5 authors at 3 institutions in 1 country.

Li SongDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.
Gali BaiDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.
X Shirley LiuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.
Bo LiLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA lib3@chop.edu hli@ds.dfci.harvard.edu.
Heng LiDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA; lib3@chop.edu hli@ds.dfci.harvard.edu.ORCID 0000-0003-4874-2874
Dana-Farber Cancer Institute · USHarvard University · USThe University of Texas Southwestern Medical Center · US

Funding

Zhao - Proj 2P20GM130454 · NIGMS · DARTMOUTH COLLEGE · PI Li Song · 2019 to 2026
$27.2M
Tracking Peripheral T-Cell Repertoire Changes for Preoperative and Early Ovarian Cancer DiagnosisR01CA258524 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Jayanthi S Lea, Bo Li · 2022 to 2026
$3.8M
Advanced computational methods in analyzing high-throughput sequencing dataR01HG010040 · NHGRI · DANA-FARBER CANCER INST · PI Heng Li · 2018 to 2026
$3.7M
Next Generation Computational Tools for Functional GenomicsR01HG011139 · NHGRI · DANA-FARBER CANCER INST · PI IRIZARRY, RAFAEL ANGEL · 2020 to 2024
$3.5M
The construction and utility of reference pan-genome graphsU01HG010961 · NHGRI · DANA-FARBER CANCER INST · PI LI, HENG, PATEN, BENEDICT · 2020 to 2023
$3.2M
Antigen-independent prediction and biomarker identification of cancer-specific T cellsR01CA245318 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI LI, BO · 2020 to 2024
$1.9M
Bioinformatics Technology to Characterize Tumor Infiltrating Immune RepertoiresU01CA226196 · NCI · DANA-FARBER CANCER INST · PI LI, HENG · 2018 to 2020
$1.3M
NCI NIH HHS R01 CA245318NCI NIH HHS R01 CA258524NCI NIH HHS U01 CA226196NHGRI NIH HHS R01 HG010040NHGRI NIH HHS R01 HG011139NHGRI NIH HHS U01 HG010961NIGMS NIH HHS P20 GM130454
6 · The paper itself

Abstract

Killer cell immunoglobulin like receptor (KIR) genes and human leukocyte antigen (HLA) genes play important roles in innate and adaptive immunity. They are highly polymorphic and cannot be genotyped with standard variant calling pipelines. Compared with HLA genes, many KIR genes are similar to each other in sequences and may be absent in the chromosomes. Therefore, although many tools have been developed to genotype HLA genes using common sequencing data, none of them work for KIR genes. Even specialized KIR genotypers could not resolve all the KIR genes. Here we describe T1K, a novel computational method for the efficient and accurate inference of KIR or HLA alleles from RNA-seq, whole-genome sequencing, or whole-exome sequencing data. T1K jointly considers alleles across all genotyped genes, so it can reliably identify present genes and distinguish homologous genes, including the challenging

Indexed as

CD8-Positive T-LymphocytesReceptors, KIRAllelesGenotypeHigh-Throughput Nucleotide SequencingHumansReceptors, KIR2DL5KIR2DL5B protein, humanReceptors, KIRReceptors, KIR2DL5

Identifiers

PMID37169596
PMCPMC10519407
OpenAlexW4376127831

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.