Evidence map›Paper›PMID 26913922›Full record

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

Contribution of genomic copy-number variations in prenatal oral clefts: a multicenter cohort study.

Ye Cao, Zhihua Li, Jill A Rosenfeld, Amber N Pursley, Ankita Patel, Jin Huang, Huilin Wang, Min Chen, Xiaofang Sun, Tak Yeung Leung and 2 more

Open access · bronzeAbstract readMulticenter Study
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. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
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  5. Article
  6. Genetics in prenatal diagnosis.Singapore medical journal · 2023
    Review
  7. Article
  8. Review
  9. Article
  10. Article
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  13. Article
  14. Identification ofGenetics · 2018
    Article
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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 at 4 institutions in 3 countries.

Ye CaoDepartment of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China.
Zhihua LiDepartment of Obstetrics and Gynecology, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID 0000-0003-0840-749X
Jill A RosenfeldSignature Genomic Laboratories, PerkinElmer, Inc., Spokane, Washington, USA.ORCID 0000-0001-5664-7987
Amber N PursleyDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Ankita PatelDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Jin HuangDepartment of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China.
Huilin WangDepartment of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China.
Min ChenDepartment of Obstetrics and Gynecology, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiaofang SunDepartment of Obstetrics and Gynecology, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Tak Yeung LeungDepartment of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China.
Sau Wai CheungDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Kwong Wai ChoyDepartment of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China.
Chinese University of Hong Kong · HKBaylor College of Medicine · USThird Affiliated Hospital of Guangzhou Medical University · CNPerkinElmer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe sought to investigate the utility of chromosomal microarray analysis (CMA) for prenatal diagnosis of oral clefts, as compared with traditional chromosome analysis, for improved prenatal genetic counseling and discovery of a potential correlation between genotype and oral cleft.

methodsThis retrospective analysis encompassed 270 prenatal oral cleft cases with documented detailed ultrasound findings and CMA results from four referral centers. Detection rates for pathogenic copy-number variants (CNVs) were calculated and compared with cases for which chromosome analysis was also performed.

resultsThe overall detection rate was 14.8% (40/270) for pathogenic CNVs by CMA, 7.2% (9/125) for the nonsyndromic cases, and 21.4% (31/145) for the syndromic cases. Of the nonsyndromic cases with ultrasound soft markers, 20% (5/25) were identified with pathogenic CNVs. CMA showed an improved detection rate of 15.3% (29/190) compared with 10.5% (20/190) for chromosome analysis.

conclusionThis study not only highlights the improved detection of chromosomal defects by CMA in prenatal oral clefts but also deepens our understanding of oral clefts. The results suggest that CMA is highly recommended in prenatal invasive genetic testing not only for syndromic oral cleft cases but also for nonsyndromic cases with soft markers. Candidate genes including CRKL, AKAP8, SYDE1, BRD4 are worthy of further investigation regarding their role in human palatogenesis.Genet Med 18 10, 1052-1055.

Indexed as

Genetic CounselingPrenatal DiagnosisChromosome AberrationsCleft PalateCohort StudiesDNA Copy Number VariationsFemaleGenomicsHumansKaryotypingMicroarray AnalysisPregnancy

Identifiers

PMID26913922
OpenAlexW2336273982

What OpenQuestion holds

Textmetadata
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.