Evidence map›Paper›PMID 34980134›Full record

ArticleJournal of translational medicine2022

Clinical efficiency of simultaneous CNV-seq and whole-exome sequencing for testing fetal structural anomalies.

Xinlin Chen, Yulin Jiang, Ruiguo Chen, Qingwei Qi, Xiujuan Zhang, Sheng Zhao, Chaoshi Liu, Weiyun Wang, Yuezhen Li, Guoqiang Sun and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 34 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

16 authors at 3 institutions in 1 country.

Xinlin Chen *Department of Ultrasound Diagnosis, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China.
Yulin Jiang *Department of Obstetrics and Gynecology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Ruiguo Chen *Berry Genomics Corporation, Beijing, 102200, China.
Qingwei QiDepartment of Obstetrics and Gynecology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Xiujuan ZhangBerry Genomics Corporation, Beijing, 102200, China.
Sheng ZhaoDepartment of Ultrasound Diagnosis, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China.
Chaoshi LiuBerry Genomics Corporation, Beijing, 102200, China.
Weiyun WangDepartment of Ultrasound Diagnosis, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China.
Yuezhen LiBerry Genomics Corporation, Beijing, 102200, China.
Guoqiang SunDepartment of Obstetrics, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China.
Jieping SongDepartment of Genetic Laboratory, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China.
Hui HuangDepartment of Ultrasound Diagnosis, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China.
Chen ChengDepartment of Ultrasound Diagnosis, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China.
Jianguang ZhangBerry Genomics Corporation, Beijing, 102200, China.
Longxian ChengDepartment of Ultrasound Diagnosis, Hubei Maternity and Child Health Hospital, No. 745, Wuluo Road, Hongshan District, Wuhan, 430030, Hubei, China. chenglongxian@sina.com.
Juntao LiuDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No. 1, Shuaifu Garden, Dongcheng District, Beijing, 100730, China. liujt@pumch.cn.ORCID 0000-0001-9978-7031
Berry Oncology (China) · CNHubei Provincial Women and Children's Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

CAMS Innovation Fund for Medical Sciences (CIFMS) 2020-I2M-CCAMS Innovation Fund for Medical Sciences (CIFMS) T-B-046Hubei Province health and family planning scientific research project WJ2017Z019Hubei Province health and family planning scientific research project WJ2018H0132Hubei Province Natural Science Foundation 2020CFB164Key Program of Hubei Science and Technology Department aiding Xinjiang and Tibet Province 2018AKB1496Key R&D Program of Hubei Science and Technology Department 2020BCB002National Key R&D Program of China 2019YFC1005105
6 · The paper itself

Abstract

backgroundBirth defects are responsible for approximately 7% of neonatal deaths worldwide by World Health Organization in 2004. Many methods have been utilized for examining the congenital anomalies in fetuses. This study aims to investigate the efficiency of simultaneous CNV-seq and whole-exome sequencing (WES) in the diagnosis of fetal anomaly based on a large Chinese cohort.

methodsIn this cohort study, 1800 pregnant women with singleton fetus in Hubei Province were recruited from 2018 to 2020 for prenatal ultrasonic screening. Those with fetal structural anomalies were transferred to the Maternal and Child Health Hospital of Hubei Province through a referral network in Hubei, China. After multidisciplinary consultation and decision on fetal outcome, products of conception (POC) samples were obtained. Simultaneous CNV-seq and WES was conducted to identify the fetal anomalies that can compress initial DNA and turnaround time of reports.

resultsIn total, 959 couples were finally eligible for the enrollment. A total of 227 trios were identified with a causative alteration (CNV or variant), among which 191 (84.14%) were de novo. Double diagnosis of pathogenic CNVs and variants have been identified in 10 fetuses. The diagnostic yield of multisystem anomalies was significantly higher than single system anomalies (32.28% vs. 22.36%, P  = 0.0183). The diagnostic rate of fetuses with consistent intra- and extra-uterine phenotypes (172/684) was significantly higher than the rate of these with inconsistent phenotypes (17/116, P  = 0.0130).

conclusionsSimultaneous CNV-seq and WES analysis contributed to fetal anomaly diagnosis and played a vital role in elucidating complex anomalies with compound causes.

Indexed as

Prenatal DiagnosisUltrasonography, PrenatalCohort StudiesExome SequencingFemaleFetusHumansPregnancyPregnancy Trimester, FirstCNV-seqPrenatal diagnosisStructural anomalyWhole-exome sequencing

Identifiers

PMID34980134
PMCPMC8722033
OpenAlexW4205529832

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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.