Evidence map›Paper›PMID 39107825›Full record

ArticleBMC medical genomics2024

FLT4 gene polymorphisms influence isolated ventricular septal defect predisposition in a Southwest China population.

Yunhan Zhang, Xiaoli Dong, Jun Zhang, Miao Zhao, Jiang Wang, Jiayou Chu, Zhaoqing Yang, Shaohui Ma, Keqin Lin, Hao Sun and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical genomics, 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. 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

11 authors.

Yunhan Zhang *The Department of Ultrasound Imaging, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, Yunnan, China.
Xiaoli Dong *The Department of Ultrasound Imaging, Fuwai Yunnan Cardiovascular Hospital, Chinese Academy of Medical Sciences, 528 Shahe Road, Kunming, Yunnan, 650032, China.
Jun ZhangThe Department of Ultrasound Imaging, Fuwai Yunnan Cardiovascular Hospital, Chinese Academy of Medical Sciences, 528 Shahe Road, Kunming, Yunnan, 650032, China.
Miao ZhaoThe Department of Ultrasound Imaging, Fuwai Yunnan Cardiovascular Hospital, Chinese Academy of Medical Sciences, 528 Shahe Road, Kunming, Yunnan, 650032, China.
Jiang WangThe Department of Ultrasound Imaging, Fuwai Yunnan Cardiovascular Hospital, Chinese Academy of Medical Sciences, 528 Shahe Road, Kunming, Yunnan, 650032, China.
Jiayou ChuThe Department of Medical Genetics, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 935 Jiaoling Road, Kunming, Yunnan, 650118, China.
Zhaoqing YangThe Department of Medical Genetics, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 935 Jiaoling Road, Kunming, Yunnan, 650118, China.
Shaohui MaThe Department of Medical Genetics, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 935 Jiaoling Road, Kunming, Yunnan, 650118, China.
Keqin LinThe Department of Medical Genetics, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 935 Jiaoling Road, Kunming, Yunnan, 650118, China.
Hao SunThe Department of Medical Genetics, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, 935 Jiaoling Road, Kunming, Yunnan, 650118, China. sunhao@imbcams.com.cn.
Zhiling LuoThe Department of Ultrasound Imaging, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, Yunnan, China. luozhiling@kmmu.edu.cn.

Funding

CAMS Innovation Fund for Medical Sciences (CIFMS, 2021-I2M-1-024) and Yunnan Science and Technology Talents and Platform Project, Special Funds of Advanced Scientific and Technological Talents and Innovation Teams 202005AC160011the major science and technology special plan project of Yunnan Province "Research and Development of Key Technologies for Innovative Diagnosis and Treatment of Structural Heart Disease in Southwest Plateau" 202302AA310045the Research and Application of Epidemiology, Pathogenesis, Diagnosis and Treatment of Cardiovascular Diseases in High Altitude of Yunnan Province Project 202103AC100004Yunnan Province Science and Technology Department Kunming Medical University basic research joint special project 202401AY070001-019
6 · The paper itself

Abstract

backgroundVentricular septal defect (VSD) is the most common congenital heart disease. Although a small number of genes associated with VSD have been found, the genetic factors of VSD remain unclear. In this study, we evaluated the association of 10 candidate single nucleotide polymorphisms (SNPs) with isolated VSD in a population from Southwest China.

methodsBased on the results of 34 congenital heart disease whole-exome sequencing and 1000 Genomes databases, 10 candidate SNPs were selected. A total of 618 samples were collected from the population of Southwest China, including 285 VSD samples and 333 normal samples. Ten SNPs in the case group and the control group were identified by SNaPshot genotyping. The chi-square (χ

resultsThe χ

conclusionsThese findings suggest a possible molecular pathogenesis associated with isolated VSD, which warrants investigation in future studies.

Indexed as

Genetic Predisposition to DiseaseHaplotypesHeart Septal Defects, VentricularLinkage DisequilibriumPolymorphism, Single NucleotideCase-Control StudiesChildChild, PreschoolChinaFemaleGene FrequencyHumansInfantMaleVascular Endothelial Growth Factor Receptor-3FLT4 protein, humanVascular Endothelial Growth Factor Receptor-3FLT4mRNA secondary structurePolymorphismVentricular septal defect

Identifiers

PMID39107825
PMCPMC11302092

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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.