Evidence map›Paper›PMID 39315310›Full record

ArticleFrontiers in genetics2024

Kun Yu, Weicheng Chen, Yan Chen, Libing Shen, Boxuan Wu, Yuan Zhang, Xiangyu Zhou

Abstract read
In one paragraph

Article in Frontiers in genetics, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. 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.

Kun Yu *The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Soochow, China.
Weicheng Chen *Pediatric Cardiovascular Center, Children's Hospital of Fudan University, Shanghai, China.
Yan Chen *Obstetrics and Gynecology Hospital of Fudan University, Fudan University Shanghai Medical College, Shanghai, China.
Libing ShenInternational Human Phenome Institutes (IHPI), Shanghai, China.
Boxuan WuObstetrics and Gynecology Hospital of Fudan University, Fudan University Shanghai Medical College, Shanghai, China.
Yuan ZhangShanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Xiangyu ZhouObstetrics and Gynecology Hospital of Fudan University, Fudan University Shanghai Medical College, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Copy number changes at Chromosomal 16p13.11 have been implicated in a variety of human diseases including congenital cardiac abnormalities. The clinical correlation of copy number variants (CNVs) in this region with developmental abnormalities remains controversial as most of the patients inherit the duplication from an unaffected parent. Methods: We performed CNV analysis on 164 patients with defective left-right (LR) patterning based on whole genome-exome sequencing (WG-ES) followed by multiplex ligation-dependent probe amplification (MLPA) validation. Most cases were accompanied with complex congenital heart disease (CHD). Results: CNVs at 16p13.11 were identified in a total of 21 cases, accounting for 12.80% (21/164) evaluated cases. We observed a marked overrepresentation of chromosome 16p13.11 duplications in cases when compared with healthy controls according to literature reports (15/164, 9.14% versus 0.09% in controls). Notably, in two independent family trios, Conclusion: Our study provides new family-trio based evidences to support 16p13.11 micro-duplications predispose individuals to defective cardiac left-right patterning and laterality disorder.

Indexed as

16p13.11ciliopathycongenital heart diseasecopy number variationdeletionduplicationlaterality disorderleft-right patterning

Identifiers

PMID39315310
PMCPMC11416941

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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.