Evidence map›Paper›PMID 39289620›Full record

ArticleBMC infectious diseases2024

Genetically defined causal effects of natural killer cells related traits in risk of infection: a Mendelian randomization study.

Yingxin Lin, Sheng Zhang, Xueqing Wang, Junshi Wang, Lei Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Immune cell disorder in viral pneumonia.Journal of translational medicine · 2026
    Review
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.

Yingxin LinDepartment of Intensive Care, Peking University Shenzhen Hospital, Shenzhen, China.
Sheng ZhangDepartment of Intensive Care, Peking University Shenzhen Hospital, Shenzhen, China.
Xueqing WangDepartment of Intensive Care, Peking University Shenzhen Hospital, Shenzhen, China.
Junshi WangDepartment of Intensive Care, Peking University Shenzhen Hospital, Shenzhen, China.
Lei HuangDepartment of Intensive Care, Peking University Shenzhen Hospital, Shenzhen, China. hl0248@outlook.com.

Funding

Peking University Shenzhen Hospital Scientific Research Fund KYQD2023301Scientific Research Funding of Shenzhen Society of Health Economics No. 202422
6 · The paper itself

Abstract

backgroundThe intricate interplay between genetics and immunology often dictates the host's susceptibility to various diseases. This study explored the genetic causal relationship between natural killer (NK) cell-related traits and the risk of infection.

methodsSingle-nucleotide polymorphisms (SNPs) significantly associated with NK cell-related traits were selected as instrumental variables to estimate their genetic causal effects on infection. SNPs from a genome-wide association study (GWAS) on NK cell-related traits, including absolute cell counts, median fluorescence intensities reflecting surface antigen levels, and relative cell counts, were used as exposure instruments. Summary-level GWAS statistics of four phenotypes of infection were used as the outcome data. The exposure and outcome data were analyzed via the two-sample Mendelian randomization method.

resultsEach one standard deviation increase in the expression level of human leukocyte antigen (HLA)-DR on HLA-DR

conclusionsHLA-DR

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyKiller Cells, NaturalMendelian Randomization AnalysisPolymorphism, Single NucleotideHLA-DR AntigensHumansPhenotypePneumonia, BacterialHLA-DR AntigensBacterial pneumoniaGenome-wide association study (GWAS)HLA-DR+ NK cellInfectionMendelian randomization (MR)Pneumonia

Identifiers

PMID39289620
PMCPMC11406717

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.