Evidence map›Paper›PMID 26820068›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2016

Low-pass whole-genome sequencing in clinical cytogenetics: a validated approach.

Zirui Dong, Jun Zhang, Ping Hu, Haixiao Chen, Jinjin Xu, Qi Tian, Lu Meng, Yanchou Ye, Jun Wang, Meiyan Zhang and 9 more

Erratum issuedOpen access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 pooled it
26.1field-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

95 citing papers in PubMed, 1 synthesis or guideline pooled it, 227 citations in OpenAlex.

  1. Pooled it
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  12. Detection ofFrontiers in cellular and infection microbiology · 2025
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35 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 5 institutions in 3 countries.

Zirui DongBGI-Shenzhen, Shenzhen, China.ORCID 0000-0002-3626-6500
Jun ZhangDepartment of Obstetrics, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ping HuState Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Haixiao ChenBGI-Shenzhen, Shenzhen, China.
Jinjin XuBGI-Shenzhen, Shenzhen, China.
Qi TianDepartment of Obstetrics, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Lu MengState Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Yanchou YeDepartment of Obstetrics, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jun WangClinical Laboratory of BGI Health, BGI-Shenzhen, Shenzhen, China.
Meiyan ZhangClinical Laboratory of BGI Health, BGI-Shenzhen, Shenzhen, China.
Yun LiClinical Laboratory of BGI Health, BGI-Shenzhen, Shenzhen, China.
Huilin WangDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Shanshan YuBGI-Shenzhen, Shenzhen, China.
Fang ChenBGI-Shenzhen, Shenzhen, China.
Jiansheng XieShenzhen Maternal and Child Health Care Hospital, Shenzhen, China.
Hui JiangBGI-Shenzhen, Shenzhen, China.
Wei WangBGI-Shenzhen, Shenzhen, China.
Kwong Wai ChoyDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Zhengfeng XuState Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing, China.
BGI Group (China) · CNNanjing Maternity and Child Health Care Hospital · CNSun Yat-sen University · CNChinese University of Hong Kong · HKShenzhen Maternity and Child Healthcare Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChromosomal microarray analysis is the gold standard for copy-number variant (CNV) detection in prenatal and postnatal diagnosis. We aimed to determine whether next-generation sequencing (NGS) technology could be an alternative method for CNV detection in routine clinical application.

methodsGenome-wide CNV analysis (>50 kb) was performed on a multicenter group of 570 patients using a low-coverage whole-genome sequencing pipeline. These samples were referred for chromosomal analysis; CNVs (i.e., pathogenic CNVs, pCNVs) were classified according to the American College of Medical Genetics and Genomics guidelines.

resultsOverall, a total of 198 abortuses, 37 stillbirths, 149 prenatal, and 186 postnatal samples were tested. Our approach yielded results in 549 samples (96.3%). In addition to 119 subjects with aneuploidies, 103 pCNVs (74 losses and 29 gains) were identified in 82 samples, giving diagnostic yields of 53.2% (95% confidence interval: 45.8, 60.5), 14.7% (5.0, 31.1), 28.5% (21.1, 36.6), and 30.1% (23.6, 37.3) in each group, respectively. Mosaicism was observed at a level as low as 25%.

conclusionsPatients with chromosomal diseases or microdeletion/microduplication syndromes were diagnosed using a high-resolution genome-wide method. Our study revealed the potential of NGS to facilitate genetic diagnoses that were not evident in the prenatal and postnatal groups.Genet Med 18 9, 940-948.

Indexed as

High-Throughput Nucleotide SequencingAbortion, SpontaneousChromosome DisordersCytogeneticsDNA Copy Number VariationsFemaleGenome, HumanHumansMaleMicroarray AnalysisPrenatal DiagnosisStillbirth

Identifiers

PMID26820068
OpenAlexW2262626337

What OpenQuestion holds

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Read underepoch 390

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.