Evidence map›Paper›PMID 35626254›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Experience of Low-Pass Whole-Genome Sequencing-Based Copy Number Variant Analysis: A Survey of Chinese Tertiary Hospitals.

Yu Zheng, Baosheng Zhu, Jichun Tan, Yichun Guan, The Chinese Genomic Structural Variants Consortium, Cynthia C Morton, Guangxiu Lu

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Genetic analysis ofFrontiers in medicine · 2026
    Article
  3. Article
  4. Article
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

7 authors at 6 institutions in 4 countries.

Yu ZhengPrenatal Genetic Diagnosis Centre, Department of Obstetrics & Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0003-1223-2901
Baosheng ZhuDepartment of Genetics Medicine, First People's Hospital of Yunnan Province, Kunming 650021, China.
Jichun TanReproductive Medicine Centre, Shengjing Hospital of China Medical University, Shenyang 110055, China.
Yichun GuanReproductive Medicine Centre, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
The Chinese Genomic Structural Variants Consortium
Cynthia C MortonDepartment of Obstetrics and Gynecology and Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-2198-6756
Guangxiu LuGenetics Centre, Reproductive & Genetic Hospital of CITIC-Xiangya, Changsha 410008, China.
Broad Institute · USChina Medical University · CNChinese University of Hong Kong · HKFirst People's Hospital of Yunnan Province · CNReproductive & Genetic Hospital CITIC-Xiangya · CNThird Affiliated Hospital of Zhengzhou University · CN

Funding

the National Key Research & Developmental Program of China 2018YFC1004901University Grant Committee of Hong Kong (UGC) Re-445 search Grant Council (RGC) General Research Fund (GRF) 14115418
6 · The paper itself

Abstract

In China, low-pass whole-genome sequencing (low-pass WGS) is emerging as an alternative diagnostic test to detect copy number variants (CNVs). This survey aimed to study the laboratory practice, service quality, and case volumes of low-pass WGS-based CNV analysis among national accredited Chinese tertiary hospitals that have routinely applied low-pass WGS for more than a year and that have been certified in next-generation sequencing (NGS) clinical applications for more than three years. The questionnaire focused on (1) the composition of patients' referral indications for testing and annual case volumes; (2) the capacity of conducting laboratory assays, bioinformatic analyses, and reporting; (3) the sequencing platforms and parameters utilized; and (4) CNV nomenclature in reports. Participants were required to respond based on their routine laboratory practices and data audited in a 12-month period from February 2019 to January 2020. Overall, 24 participants representing 24 tertiary referral hospitals from 21 provincial administrative regions in China returned the questionnaires. Excluding three hospitals routinely applying low-pass WGS for non-invasive prenatal testing (NIPT) only, the analysis only focused on the data submitted by the rest 21 hospitals. These hospitals applied low-pass WGS-based CNV analysis for four primary applications: high-risk pregnancies, spontaneous abortions, couples with adverse pregnancy history, and children with congenital birth defects. The overall estimated annual sample volume was over 36,000 cases. The survey results showed that the most commonly reported detection limit for CNV size (resolution) was 100 kb; however, the sequencing methods utilized by the participants were variable (single-end: 61.90%, 13/21; paired-end: 28.57%, 6/21; both: 9.52%, 2/21). The diversity was also reflected in the sequencing parameters: the mean read count was 13.75 million reads/case (95% CI, 9.91-17.60) and the read-length median was 65 bp (95% CI, 75.17-104.83). To assess further the compliance of the CNV reporting nomenclature according to the 2016 edition of International System for Human Cytogenomics Nomenclature (ISCN 2016), a scoring metric was applied and yielded responses from 19 hospitals; the mean compliance score was 7.79 out of 10 points (95% CI, 6.78-8.80). Our results indicated that the low-pass WGS-based CNV analysis service is in great demand in China. From a quality control perspective, challenges remain regarding the establishment of standard criteria for low-pass WGS-based CNV analysis and data reporting formats. In summary, the low-pass WGS-based method is becoming a common diagnostic approach, transforming the possibilities for genetic diagnoses for patients in China.

Indexed as

copy number variantlaboratory experiencelow-pass whole-genome sequencingtertiary hospitalvariant nomenclature

Identifiers

PMID35626254
PMCPMC9139561
OpenAlexW4282946994

What OpenQuestion 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 OpenQuestion graph.