Evidence map›Paper›PMID 22318994›Full record

ArticlePhysiological genomics2012

Human gene copy number spectra analysis in congenital heart malformations.

Aoy Tomita-Mitchell, Donna K Mahnke, Craig A Struble, Maureen E Tuffnell, Karl D Stamm, Mats Hidestrand, Susan E Harris, Mary A Goetsch, Pippa M Simpson, David P Bick and 4 more

Open access · greenAbstract read
In one paragraph

Article in Physiological genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 109 citations in OpenAlex.

  1. Trial
  2. Trial
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  4. Review
  5. Article
  6. Human Genetics of Ventricular Septal Defect.Advances in experimental medicine and biology · 2024
    Article
  7. Article
  8. The Genetics of Human Congenital Coronary Vascular Anomalies.Advances in experimental medicine and biology · 2024
    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

14 authors at 5 institutions in 2 countries.

Aoy Tomita-MitchellDepartment of Surgery, Division of Cardiothoracic Surgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA. amitchell@mcw.edu
Donna K Mahnke
Craig A Struble
Maureen E Tuffnell
Karl D Stamm
Mats Hidestrand
Susan E Harris
Mary A Goetsch
Pippa M Simpson
David P Bick
Ulrich Broeckel
Andrew N Pelech
James S Tweddell
Michael E Mitchell
Bioengineering Center · RUMarquette University · USPediatrics and Genetics · USMedical College of Wisconsin · USQuantitative BioSciences · US

Funding

Genome Wide Association of Coronary Artery Disease and Related Risk FactorsR01HL089655 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI BROECKEL, ULRICH · 2008 to 2012
$3.8M
Development of Population-Based Screening for DiGeorge Syndrome Type 1R21HD060309 · NICHD · MEDICAL COLLEGE OF WISCONSIN · PI MITCHELL, AOY TOMITA · 2008 to 2009
$529k
NHLBI NIH HHS 5R01HL-089655NICHD NIH HHS 1R21HD-060309-01
6 · The paper itself

Abstract

The clinical significance of copy number variants (CNVs) in congenital heart disease (CHD) continues to be a challenge. Although CNVs including genes can confer disease risk, relationships between gene dosage and phenotype are still being defined. Our goal was to perform a quantitative analysis of CNVs involving 100 well-defined CHD risk genes identified through previously published human association studies in subjects with anatomically defined cardiac malformations. A novel analytical approach permitting CNV gene frequency "spectra" to be computed over prespecified regions to determine phenotype-gene dosage relationships was employed. CNVs in subjects with CHD (n = 945), subphenotyped into 40 groups and verified in accordance with the European Paediatric Cardiac Code, were compared with two control groups, a disease-free cohort (n = 2,026) and a population with coronary artery disease (n = 880). Gains (≥200 kb) and losses (≥100 kb) were determined over 100 CHD risk genes and compared using a Barnard exact test. Six subphenotypes showed significant enrichment (P ≤ 0.05), including aortic stenosis (valvar), atrioventricular canal (partial), atrioventricular septal defect with tetralogy of Fallot, subaortic stenosis, tetralogy of Fallot, and truncus arteriosus. Furthermore, CNV gene frequency spectra were enriched (P ≤ 0.05) for losses at: FKBP6, ELN, GTF2IRD1, GATA4, CRKL, TBX1, ATRX, GPC3, BCOR, ZIC3, FLNA and MID1; and gains at: PRKAB2, FMO5, CHD1L, BCL9, ACP6, GJA5, HRAS, GATA6 and RUNX1. Of CHD subjects, 14% had causal chromosomal abnormalities, and 4.3% had likely causal (significantly enriched), large, rare CNVs. CNV frequency spectra combined with precision phenotyping may lead to increased molecular understanding of etiologic pathways.

Indexed as

AlgorithmsDNA Copy Number VariationsGene DosageGene Expression ProfilingModels, GeneticModels, StatisticalAdultAgedBiological Specimen BanksCase-Control StudiesChildFemaleGenetic Predisposition to DiseaseHeart Defects, CongenitalHumansMale

Identifiers

PMID22318994
PMCPMC3426426
OpenAlexW2104589149

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.