Evidence map›Paper›PMID 31613678›Full record

SynthesisCirculation. Genomic and precision medicine2019

Integration of Large-Scale Genomic Data Sources With Evolutionary History Reveals Novel Genetic Loci for Congenital Heart Disease.

Elisavet Fotiou, Simon Williams, Alexandra Martin-Geary, David L Robertson, Gennadiy Tenin, Kathryn E Hentges, Bernard Keavney

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Circulation. Genomic and precision medicine, 2019. 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
1.8field-weighted citation impact, top 14% 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, 29 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Current and future diagnostics of congenital heart disease (CHD).Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2025
    Article
  5. Article
  6. SLIT3-mediated fibroblast signaling: a promising target for antifibrotic therapies.American journal of physiology. Heart and circulatory physiology · 2023
    Review
  7. Article
  8. Article
  9. Molecular genetic mechanisms of congenital heart disease.Current opinion in genetics & development · 2022
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. 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 at 2 institutions in 2 countries.

Elisavet FotiouDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine, and Health, Manchester Academic Health Science Centre (E.F., S.W., G.T., B.K.), University of Manchester.
Simon WilliamsDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine, and Health, Manchester Academic Health Science Centre (E.F., S.W., G.T., B.K.), University of Manchester.
Alexandra Martin-GearyDivision of Evolution and Genomic science (A.M.-G., D.L.R., K.E.H.), University of Manchester.
David L RobertsonDivision of Evolution and Genomic science (A.M.-G., D.L.R., K.E.H.), University of Manchester.
Gennadiy TeninDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine, and Health, Manchester Academic Health Science Centre (E.F., S.W., G.T., B.K.), University of Manchester.
Kathryn E HentgesDivision of Evolution and Genomic science (A.M.-G., D.L.R., K.E.H.), University of Manchester.
Bernard KeavneyDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine, and Health, Manchester Academic Health Science Centre (E.F., S.W., G.T., B.K.), University of Manchester.
Manchester Academic Health Science Centre · GBEvolutionary Genomics (United States) · US

Funding

British Heart Foundation CH/13/2/30154British Heart Foundation RG/15/12/31616Medical Research Council 1622139Medical Research Council MC_UU_12014/12
6 · The paper itself

Abstract

backgroundMost cases of congenital heart disease (CHD) are sporadic and nonsyndromic, with poorly understood etiology. Rare genetic variants have been found to affect the risk of sporadic, nonsyndromic CHD, but individual studies to date are of only moderate sizes, and none to date has incorporated the ohnolog status of candidate genes in the analysis. Ohnologs are genes retained from ancestral whole-genome duplications during evolution; multiple lines of evidence suggest ohnologs are overrepresented among dosage-sensitive genes. We integrated large-scale data on rare variants with evolutionary information on ohnolog status to identify novel genetic loci predisposing to CHD.

methodsWe compared copy number variants present in 4634 nonsyndromic CHD cases derived from publicly available data resources and the literature, and >27 000 healthy individuals. We analyzed deletions and duplications independently and identified copy number variant regions exclusive to cases. These data were integrated with whole-exome sequencing data from 829 sporadic, nonsyndromic patients with Tetralogy of Fallot. We placed our findings in an evolutionary context by comparing the proportion of vertebrate ohnologs in CHD cases and controls.

resultsNovel genetic loci in CHD cases were significantly enriched for ohnologs compared with the genome (χ

conclusionsWe have identified new CHD candidate loci, and show for the first time that ohnologs are overrepresented among CHD genes. Incorporation of evolutionary metrics may be useful in refining candidate genes emerging from large-scale genetic evaluations of CHD.

Indexed as

Genetic LociDatabases, GeneticDNA Copy Number VariationsFemaleGene DuplicationHeart Defects, CongenitalHumansInformation Storage and RetrievalMalecopy number variants, DNAevolutionheart defects, congenitalwhole exome sequencing

Identifiers

PMID31613678
PMCPMC6798745
OpenAlexW2981165217

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.