Evidence map›Paper›PMID 36721086›Full record

ArticleBMC genomics2023

Whole exome sequencing with a focus on cardiac disease-associated genes in families of sudden unexplained deaths in Yunnan, southwest of China.

Si-Jie Wei, Jin-Liang Du, Yue-Bing Wang, Peng-Fei Qu, Lin Ma, Zhong-Chun Sun, Xue Tang, Kai Liu, Yan-Mei Xi, Sheng-Jie Nie and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. 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
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

15 authors at 4 institutions in 1 country.

Si-Jie Wei *Department of Forensic Medicine, Kunming Medical University, Kunming, 650500, Yunnan Province, China.
Jin-Liang Du *Forensic Science Center of Jining Medical University, Jining, Shandong, 272000, People's Republic of China.
Yue-Bing Wang *Yunnan Institute of Endemic Disease Control and Prevention, Dali, 671000, Yunnan Province, China.
Peng-Fei QuDepartment of Forensic Medicine, Kunming Medical University, Kunming, 650500, Yunnan Province, China.
Lin MaYunnan Institute of Endemic Disease Control and Prevention, Dali, 671000, Yunnan Province, China.
Zhong-Chun SunDepartment of Forensic Medicine, Kunming Medical University, Kunming, 650500, Yunnan Province, China.
Xue TangYunnan Institute of Endemic Disease Control and Prevention, Dali, 671000, Yunnan Province, China.
Kai LiuDepartment of Forensic Medicine, Kunming Medical University, Kunming, 650500, Yunnan Province, China.
Yan-Mei XiYunnan Institute of Endemic Disease Control and Prevention, Dali, 671000, Yunnan Province, China.
Sheng-Jie NieDepartment of Forensic Medicine, Kunming Medical University, Kunming, 650500, Yunnan Province, China.
Peng-Lin JiaDepartment of Forensic Medicine, Kunming Medical University, Kunming, 650500, Yunnan Province, China.
Wu LongDepartment of Forensic Medicine, Kunming Medical University, Kunming, 650500, Yunnan Province, China.
Yong-Qiang QuDepartment of Forensic Medicine, Kunming Medical University, Kunming, 650500, Yunnan Province, China.
Yu-Hua LiDepartment of Forensic Medicine, Kunming Medical University, Kunming, 650500, Yunnan Province, China.
Pu-Ping LeiDepartment of Forensic Medicine, Kunming Medical University, Kunming, 650500, Yunnan Province, China. puping.jacky@qq.com.
Kunming Medical University · CNYunnan Institute of Endemic Diseases Control and Prevention · CNJining Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the causes of sudden unexpected death (SUD) and to search for high-risk people, whole exome sequencing (WES) was performed in families with SUDs. 

methodsWhole exome sequencing of 25 people from 14 SUD families were screened based on cardiac disease-associated gene variants, and their echocardiograms and electrocardiograms (ECG) were also examined. The protein function of mutated genes was predicted by SIFT, PolyPhen2 and Mutation Assessor.

resultsIn the group of 25 people from 14 SUD families, 49 single nucleotide variants (SNVs) of cardiac disease-associated genes were found and verified by Sanger sequencing. 29 SNVs of 14 cardiac disorder-related genes were predicted as pathogens by software. Among them, 7 SNVs carried by two or more members were found in 5 families, including SCN5A (c.3577C > T), IRX4 (c.230A > G), LDB3 (c.2104 T > G), MYH6 (c.3G > A), MYH6 (c.3928 T > C), TTN (c.80987C > T) and TTN (c.8069C > T). 25 ECGs were collected. In summary, 4 people had J-point elevation, 2 people had long QT syndrome (LQTS), 4 people had prolonged QT interval, 3 people had T-wave changes, 3 people had sinus tachycardia, 4 people had sinus bradycardia, 4 people had left side of QRS electrical axis, and 3 people had P wave broadening. Echocardiographic results showed that 1 person had atrial septal defect, 1 person had tricuspid regurgitation, and 2 people had left ventricular diastolic dysfunction.

conclusionsOf the 14 heart disease-associated genes in 14 SUDs families, there are 7 possible pathological SNVS may be associated with SUDs. Our results indicate that people with ECG abnormalities, such as prolonged QT interval, ST segment changes, T-wave change and carrying the above 7 SNVs, should be the focus of prevention of sudden death.

Indexed as

Heart DiseasesChinaDeath, SuddenExome SequencingHumansMutationNegative autopsyPathogenic variantsSudden unexplained deathWhole exome sequencing

Identifiers

PMID36721086
PMCPMC9890689
OpenAlexW4318699674

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.