Evidence map›Paper›PMID 35702125›Full record

ArticleAmerican journal of translational research2022

Single nucleotide polymorphism array in genetic evaluation of fetal ultrasound abnormalities: a retrospective follow-up study.

Hailong Huang, Meiying Cai, Huili Xue, Liangpu Xu, Na Lin

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Chromosomal Microarray Analysis in Fetuses with Ultrasound Abnormalities.International journal of general medicine · 2024
    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

5 authors at 1 institution in 1 country.

Hailong HuangMedical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect Fuzhou 350001, Fujian, China.
Meiying CaiMedical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect Fuzhou 350001, Fujian, China.
Huili XueMedical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect Fuzhou 350001, Fujian, China.
Liangpu XuMedical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect Fuzhou 350001, Fujian, China.
Na LinMedical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect Fuzhou 350001, Fujian, China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fetal ultrasound abnormalities may be complicated by cognitive dysfunction or developmental retardation, and ultrasonography cannot detect these problems; therefore, chromosome detection is required in fetuses with ultrasound abnormalities. To examine the effectiveness of single nucleotide polymorphism (SNP) array in genetic diagnosis of fetal ultrasound abnormalities, the prenatal samples of 805 pregnant women with fetal ultrasound abnormalities were collected for SNP array and karyotyping analysis. A 95.5% percentage of normal karyotypes and 4.5% percentage of abnormal karyotypes were observed, and aneuploidy was detected in 28 fetuses with abnormal karyotypes. SNP array identified 89 positives, including 55 cases (6.8%) with pathogenic copy number variation (CNVs) and 34 (4.2%) with variants of unknown significance (VOUS). In addition to 36 cases showing consistent results with karyotyping, SNP array detected 19 additional cases with pathogenic CNVs, including microdeletion/microduplication syndromes in 18 cases and uniparental disomy in one case. The detection rate of pathogenic CNVs was highest in fetuses with structural abnormalities of multiple systems complicated by non-structural abnormalities (13.7%) and lowest in those with structural abnormalities of a single system (4.2%). Presence of pathogenic CNVs was 12.2% in fetuses with structural abnormalities in the urinary system, followed by in the skeletal system (10.3%), while no pathogenic CNVs were identified in fetuses with structural abnormalities in the head and face, the respiratory system or the digestive system. An 89.6% follow-up rate was seen in the study sample, and 55 fetuses with pathogenic CNVs identified by SNP array were all given induction of labor. Our data demonstrate that SNP array improves the detection of genetics aberrations in fetuses with prenatal ultrasound abnormality relative to karyotyping.

Indexed as

copy number variationprenatal diagnosisprenatal ultrasound abnormalitySingle nucleotide polymorphism array

Identifiers

PMID35702125
PMCPMC9185077
OpenAlexW4285742750

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.