Evidence map›Paper›PMID 36478645›Full record

ArticleESC heart failure2023

Genetic aetiology distribution of 398 foetuses with congenital heart disease in the prenatal setting.

Tong Yi, Xiaoyan Hao, Hairui Sun, Ye Zhang, Jiancheng Han, Xiaoyan Gu, Lin Sun, Xiaowei Liu, Ying Zhao, Yong Guo and 2 more

Abstract read
In one paragraph

Article in ESC heart failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

12 authors.

Tong YiBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Xiaoyan HaoBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Hairui SunBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Ye ZhangBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Jiancheng HanBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Xiaoyan GuBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Lin SunBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Xiaowei LiuBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Ying ZhaoBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Yong GuoBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Xiaoxue ZhouBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Yihua HeBeijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsCopy number variant-sequencing (CNV-seq) and exome sequencing (ES) have been used as powerful tools in understanding the role of genetic variants in congenital heart diseases (CHDs). A few previous large cohort studies have utilized CNV-seq and ES to investigate prenatally diagnosed CHD. Here, we sought to determine the value of CNV-seq and ES for genetic evaluation of foetal CHDs. METHODS AND

resultsWe recruited 398 pregnant women diagnosed with CHDs between 8 January 2017 and 30 November 2020. CNV-seq and ES were performed on foetal and parent samples. CHD cases were classified following the guidelines of the International Paediatric and Congenital Cardiac Code and the Tenth and Eleventh Revisions of the International Classification of Diseases. Data on aneuploids (AUP), pathogenic CNVs (pCNVs), and single nucleotide variants (SNVs) were collected and compared, following appropriate procedures. We identified genetic abnormalities in 129 (32.41%) foetuses. These abnormalities included AUP (10.80%), pCNVs (13.32%), and SNVs (8.04%). ES analysis yielded higher SNVs in cases without AUP or pCNVs. Non-isolated CHDs were associated with higher genetic abnormalities than isolated CHDs, mainly due to AUP differences between the two groups. The prevalence of genetic defects was the highest in foetuses with atrioventricular septal defects (AVSD), left ventricular outflow tract obstruction (LVOTO), and conotruncal defects (CTD). AVSD and anomalies of atrioventricular junctions and valves were associated with AUP abnormalities. CTD, anomalies of extrapericardial arterial trunks, and anomalies of the ventricular outflow tracts were the most common CHD categories diagnosed using CNVs. The most common CHDs associated with single ventricle (SV) abnormalities were heterotaxy (Hex) (14.89%), LVOTO (14.58%), and ventricular septal defect (VSD) (26.67%, 4/15). Although the ES yields were higher than CNV-seq for VSD (44.4%, 4/9), LVOTO (20%, 7/35), Hex (14.89%, 7/47), and CTD (9.1%, 11/121), its diagnostic yield did not increase for SV (6.7%, 1/15), AVSD (3.8%, 1/26), or right ventricular obstruction defects (2.6%, 1/38). The most common mutations were observed in KMT2D, CHD7, and NOTCH1.

conclusionsTo our knowledge, this is the largest cohort study to investigate the incidence of SNVs using ES in foetal CHD. CNV-seq and ES identified genetic abnormalities in nearly 1/3 of foetal CHD cases. Thus, CNV-seq and ES can provide clinically relevant information for pregnancy management.

Indexed as

Heart Defects, CongenitalHeart Septal DefectsChildCohort StudiesFemaleFetusHumansPregnancyCongenitalGeneticsHeart defectsPrenatal counselling

Identifiers

PMID36478645
PMCPMC10053168

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.