Evidence map›Paper›PMID 37887000›Full record

ArticleBiology2023

Repurposing Normal Chromosomal Microarray Data to Harbor Genetic Insights into Congenital Heart Disease.

Nephi A Walton, Hoang H Nguyen, Sara S Procknow, Darren Johnson, Alexander Anzelmi, Patrick Y Jay

Open access · goldAbstract read
In one paragraph

Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Discovery and functional investigation ofAmerican journal of translational research · 2024
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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

6 authors at 3 institutions in 1 country.

Nephi A WaltonDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Hoang H NguyenDepartment of Pediatrics, UT Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0001-6891-9951
Sara S ProcknowDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-3023-6482
Darren JohnsonGenomic Medicine Institute, Geisinger, Danville, PA 17822, USA.
Alexander AnzelmiDepartment of Medicine, Thomas Jefferson University Hospitals, Philadelphia, PA 19107, USA.
Patrick Y JayDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Washington University in St. Louis · USSouthwestern Medical Center · USThomas Jefferson University Hospital · US

Funding

Washington University in St. Louis No Grant Number
6 · The paper itself

Abstract

About 15% of congenital heart disease (CHD) patients have a known pathogenic copy number variant. The majority of their chromosomal microarray (CMA) tests are deemed normal. Diagnostic interpretation typically ignores microdeletions smaller than 100 kb. We hypothesized that unreported microdeletions are enriched for CHD genes. We analyzed "normal" CMAs of 1762 patients who were evaluated at a pediatric referral center, of which 319 (18%) had CHD. Using CMAs from monozygotic twins or replicates from the same individual, we established a size threshold based on probe count for the reproducible detection of small microdeletions. Genes in the microdeletions were sequentially filtered by their nominal association with a CHD diagnosis, the expression level in the fetal heart, and the deleteriousness of a loss-of-function mutation. The subsequent enrichment for CHD genes was assessed using the presence of known or potentially novel genes implicated by a large whole-exome sequencing study of CHD. The unreported microdeletions were modestly enriched for both known CHD genes and those of unknown significance identified using their de novo mutation in CHD patients. Our results show that readily available "normal" CMA data can be a fruitful resource for genetic discovery and that smaller deletions should receive more attention in clinical evaluation.

Indexed as

bioinformaticschromosome microarraycongenital heart diseasedata miningfunctional genomicsgenetic diagnosisgenetic testingprecision medicine

Identifiers

PMID37887000
PMCPMC10604103
OpenAlexW4387099083

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.