Evidence map›Paper›PMID 34154540›Full record

ArticleBMC infectious diseases2021

Genetic association of TOLLIP gene polymorphisms and HIV infection: a case-control study.

Ming-Gui Wang, Jing Wang, Jian-Qing He

Open access · goldAbstract read
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Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Ming-Gui WangDepartment of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, No. 37, Guo Xue Alley, Chengdu, 610041, Sichuan Province, People's Republic of China.
Jing WangDepartment of Infectious Disease, Neijiang Second People's Hospital, Neijiang, Sichuan Province, People's Republic of China.
Jian-Qing HeDepartment of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, No. 37, Guo Xue Alley, Chengdu, 610041, Sichuan Province, People's Republic of China. Jianqhe@gmail.com.
Sichuan University · CNNeijiang Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have indicated that host genetic factors play an essential role in immunity to human immunodeficiency virus (HIV) infection. We aimed to investigate the association between the toll-interacting protein (TOLLIP) and mannose-binding lectin 2 (MBL2) genes and HIV infection susceptibility among Chinese Han patients.

methodsThis is a case-control study. A total of 435 HIV-infected patients and 1013 seronegative healthy individuals were recruited. DNA was extracted from whole blood. Two SNPs in the MBL2 gene (rs7096206 and rs1800450) and three SNPs in the TOLLIP gene (rs5743899, rs3750920, and rs5743867) were selected and genotyped using a SNPscan Kit (Cat#: G0104, Genesky Biotechnologies Inc., Shanghai, China). Odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated using unconditional binary logistic regression.

resultsA significant association between the minor alleles rs5743899 (C allele) and rs5743867 (G allele) in the TOLLIP gene and susceptibility to HIV infection was found in this study after adjusting for age and sex (P

conclusionOur study found a statistically significant association between the two SNPs (rs5743867 and rs5743899) in the TOLLIP gene and susceptibility to HIV infection in a Chinese Han population.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAllelesCase-Control StudiesGenotypeHIV InfectionsHumansIntracellular Signaling Peptides and ProteinsLogistic ModelsMaleMannose-Binding LectinMiddle AgedIntracellular Signaling Peptides and ProteinsMannose-Binding LectinMBL2 protein, humanTOLLIP protein, humanGeneticHIVSingle nucleotide polymorphismSusceptibilityToll interacting protein

Identifiers

PMID34154540
PMCPMC8215734
OpenAlexW3177321201

What OpenQuestion holds

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LicenceCC BY
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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.