Evidence map›Paper›PMID 30448225›Full record

ArticleEBioMedicine2018

Next-generation sequencing identifies novel genes with rare variants in total anomalous pulmonary venous connection.

Xin Shi, Tao Huang, Jing Wang, Yulai Liang, Chang Gu, Yuejuan Xu, Jing Sun, Yanan Lu, Kun Sun, Sun Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 64 citations in OpenAlex.

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  20. CircITGA7 Suppresses Gastric Cancer Progression Through miR-1471/MTDH Axis.Frontiers in cell and developmental biology · 2021
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Xin ShiDepartment of Pediatric Cardiovascular, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China.
Tao HuangInstitute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Jing WangDepartment of Pediatric Cardiovascular, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China.
Yulai LiangInstitute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Chang GuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tong Ji University School of Medicine, Shanghai 200433, China.
Yuejuan XuDepartment of Pediatric Cardiovascular, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China.
Jing SunDepartment of Pediatric Cardiovascular, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China.
Yanan LuDepartment of Pediatric Cardiovascular, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China.
Kun SunDepartment of Pediatric Cardiovascular, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China. Electronic address: sunkun@xinhuamed.com.cn.
Sun ChenDepartment of Pediatric Cardiovascular, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China. Electronic address: chensun@xinhuamed.com.cn.
Yu YuDepartment of Pediatric Cardiovascular, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China. Electronic address: yuyu@xinhuamed.com.cn.
Shanghai Jiao Tong University · CNXinHua Hospital · CNChinese Academy of Sciences · CNShanghai Pulmonary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTotal anomalous pulmonary venous connection (TAPVC) is recognized as a rare congenital heart defect (CHD). With a high mortality rate of approximately 80%, the survival rate and outcomes of TAPVC patients are not satisfactory. However, the genetic aetiology and mechanism of TAPVC remain elusive. This study aimed to investigate the underlying genomic risks of TAPVC through next-generation sequencing (NGS).

methodsRare variants were identified through whole exome sequencing (WES) of 78 sporadic TAPVC cases and 100 healthy controls using Fisher's exact test and gene-based burden test. We then detected candidate gene expression patterns in cells, pulmonary vein tissues, and embryos. Finally, we validated these genes using target sequencing (TS) in another 100 TAPVC cases.

findingsWe identified 42 rare variants of 7 genes (CLTCL1, CST3, GXYLT1, HMGA2, SNAI1, VAV2, ZDHHC8) in TAPVC cases compared with controls. These genes were highly expressed in human umbilical vein endothelial cells (HUVECs), mouse pulmonary veins and human embryonic hearts. mRNA levels of these genes in human pulmonary vein samples were significantly different between cases and controls. Through network analysis and expression patterns in zebrafish embryos, we revealed that SNAI1, HMGA2 and VAV2 are the most important genes for TAPVC.

interpretationOur study identifies novel candidate genes potentially related to TAPVC and elucidates the possible molecular pathogenesis of this rare congenital birth defect. Furthermore, SNAI1, HMGA2 and VAV2 are novel TAPVC candidate genes that have not been reported previously in either humans or animals. FUND: National Natural Science Foundation of China.

Indexed as

Genetic Association StudiesGenetic VariationHigh-Throughput Nucleotide SequencingPhenotypeAllelesAmino Acid SubstitutionAnimalsChild, PreschoolComputational BiologyComputed Tomography AngiographyFemaleGene ExpressionGene Expression ProfilingGene Regulatory NetworksGenetic TestingGenome, HumanCongenital heart defectsRare variantsTarget sequencingTotal anomalous pulmonary venous connectionWhole exome sequencing

Identifiers

PMID30448225
PMCPMC6306349
OpenAlexW2901827276

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.