Evidence map›Paper›PMID 37138656›Full record

ArticlePharmacogenomics and personalized medicine2023

Xiaohui Zhang, Da Zhen, Xuemei Li, Faling Yi, Zhanhao Zhang, Wei Yang, Xuguang Li, Yemeng Sheng, Xiaoli Liu, Tianbo Jin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 2 institutions in 1 country.

Xiaohui ZhangKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, People's Republic of China.
Da ZhenDepartment of Medical, Tibet Autonomous Region Maternity and Children's Hospital, Lhasa, People's Republic of China.
Xuemei LiKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, People's Republic of China.
Faling YiKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, People's Republic of China.
Zhanhao ZhangKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, People's Republic of China.
Wei YangKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, People's Republic of China.
Xuguang LiKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, People's Republic of China.
Yemeng ShengKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, People's Republic of China.
Xiaoli LiuKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, People's Republic of China.
Tianbo JinKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, People's Republic of China.ORCID 0000-0001-8327-6501
Yongjun HeKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, People's Republic of China.
Xizang Minzu University · CNTibet Autonomous Region People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ventricular septal defect (VSD) is the most common congenital cardiac abnormality in children and the second most common in adults. This study aimed to explore the potentially causative genes in VSD patients in the Chinese Tibetan population, and to provide a theoretical basis for the genetic mechanism of VSD. Methods: Peripheral venous blood was collected from 20 VSD subjects, and whole-genome DNA was extracted. High-throughput sequencing was performed on qualified DNA samples using whole-exome sequencing (WES) technology. After filtering, detecting, and annotating qualified data, single nucleotide variations (SNVs) and insertion-deletion (InDel) markers were analyzed, and data processing software such as GATK, SIFT, Polyphen, and MutationTaster were used for comparative evaluation and prediction of pathogenic deleterious variants associated with VSD. Results: A total of 4793 variant loci, including 4168 SNVs, 557 InDels and 68 unknown loci and 2566 variant genes were obtained from 20 VSD subjects through bioinformatics analysis. According to the screening of the prediction software and database, the occurrence of VSD was predicted to be associated with five inherited pathogenic gene mutations, all of which were missense mutations, including Conclusion: This study demonstrated that

Indexed as

genesgenetic variationventricular septal defectwhole-exome sequencing

Identifiers

PMID37138656
PMCPMC10150769
OpenAlexW4367323578

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.