Evidence map›Paper›PMID 31447483›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2020

Low-pass genome sequencing versus chromosomal microarray analysis: implementation in prenatal diagnosis.

Huilin Wang, Zirui Dong, Rui Zhang, Matthew Hoi Kin Chau, Zhenjun Yang, Kathy Yin Ching Tsang, Hoi Kin Wong, Baoheng Gui, Zhuo Meng, Kelin Xiao and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
14.3field-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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 140 citations in OpenAlex.

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  20. Prenatal diagnosis and genetic counseling of aThe Journal of international medical research · 2024
    Article

6 more citing papers are in PubMed but not listed here.

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

19 authors at 4 institutions in 4 countries.

Huilin Wang *Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China.
Zirui Dong *Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-3626-6500
Rui Zhang *Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China.
Matthew Hoi Kin Chau *Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Zhenjun YangDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Kathy Yin Ching TsangDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Hoi Kin WongDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Baoheng GuiShenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.ORCID http://orcid.org/0000-0003-2917-2108
Zhuo MengMaternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China.
Kelin XiaoMaternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China.
Xiaofan ZhuDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Yanfang WangMaternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China.
Shaoyun ChenMaternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China.
Tak Yeung LeungDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Sau Wai CheungThe Chinese University of Hong Kong-Baylor College of Medicine Joint Center For Medical Genetics, Hong Kong, China.ORCID http://orcid.org/0000-0002-3813-5256
Yvonne K KwokDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Cynthia C MortonDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, USA. cmorton@bwh.harvard.edu.
Yuanfang ZhuMaternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China. zhuyf1027@163.com.
Kwong Wai ChoyDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China. richardchoy@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-3616-6200
Chinese University of Hong Kong · HKJinan University · CNBroad Institute · USChinese University of Hong Kong, Shenzhen · CN

Funding

RAPID GENE DISCOVERYP01GM061354 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI MORTON, CYNTHIA CASSON · 2001 to 2019
$24.3M
TRAINING GRANT IN GENETICST32GM007748 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Anne O'Donnell-Luria, Louise Wilkins-Haug · 1985 to 2026
$12.0M
Department of HealthNIGMS NIH HHS P01 GM061354NIGMS NIH HHS T32 GM007748
6 · The paper itself

Abstract

purposeEmerging studies suggest that low-pass genome sequencing (GS) provides additional diagnostic yield of clinically significant copy-number variants (CNVs) compared with chromosomal microarray analysis (CMA). However, a prospective back-to-back comparison evaluating accuracy, efficacy, and incremental yield of low-pass GS compared with CMA is warranted.

methodsA total of 1023 women undergoing prenatal diagnosis were enrolled. Each sample was subjected to low-pass GS and CMA for CNV analysis in parallel. CNVs were classified according to guidelines of the American College of Medical Genetics and Genomics.

resultsLow-pass GS not only identified all 124 numerical disorders or pathogenic or likely pathogenic (P/LP) CNVs detected by CMA in 121 cases (11.8%, 121/1023), but also defined 17 additional and clinically relevant P/LP CNVs in 17 cases (1.7%, 17/1023). In addition, low-pass GS significantly reduced the technical repeat rate from 4.6% (47/1023) for CMA to 0.5% (5/1023) and required less DNA (50 ng) as input.

conclusionIn the context of prenatal diagnosis, low-pass GS identified additional and clinically significant information with enhanced resolution and increased sensitivity of detecting mosaicism as compared with the CMA platform used. This study provides strong evidence for applying low-pass GS as an alternative prenatal diagnostic test.

Indexed as

Chromosome AberrationsChromosomesDNA Copy Number VariationsFemaleGenome, HumanHumansKaryotypingMicroarray AnalysisPregnancyPrenatal Diagnosiscopy-number variantslow-pass genome sequencingmolecular karyotypingmosaicism

Identifiers

PMID31447483
PMCPMC7042067
OpenAlexW2969337223

What OpenQuestion holds

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Registered trials

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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.