Evidence map›Paper›PMID 36357925›Full record

ArticleHuman genomics2022

De novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies.

Nirmal Vadgama, Mohamed Ameen, Laksshman Sundaram, Sadhana Gaddam, Genomics England Research Consortium, Casey Gifford, Jamal Nasir, Ioannis Karakikes

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Human genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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  12. The role of noncoding genetic variants in cardiomyopathy.Frontiers in cardiovascular medicine · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Nirmal VadgamaDepartment of Cardiothoracic Surgery and Cardiovascular Institute, Stanford University, 240 Pasteur Drive, Palo Alto, CA, 943054, USA.
Mohamed AmeenDepartment of Cancer Biology, Stanford University, Stanford, CA, USA.
Laksshman SundaramDepartment of Computer Science, Stanford University, Stanford, CA, USA.
Sadhana GaddamProgram in Epithelial Biology and Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA.
Genomics England Research Consortium
Casey GiffordDepartment of Pediatrics, Division of Cardiology, Stanford School of Medicine, Lucile Packard Children's Hospital, Palo Alto, CA, USA.
Jamal NasirDivision of Life Sciences, University of Northampton, Waterside Campus, University Drive, Northampton, NN1 5PH, UK. jamal.nasir@northampton.ac.uk.
Ioannis KarakikesDepartment of Cardiothoracic Surgery and Cardiovascular Institute, Stanford University, 240 Pasteur Drive, Palo Alto, CA, 943054, USA. ioannis1@stanford.edu.
Stanford University · USCardiovascular Institute of the South · USLucile Packard Children's Hospital · USUniversity of Northampton · GB

Funding

Unraveling the pathogenesis of familial dilated cardiomyopathy towards precision medicineR01HL139679 · NHLBI · STANFORD UNIVERSITY · PI Ioannis Karakikes · 2018 to 2026
$4.2M
The Role of 3-Dimensional Genome Integrity In Cardiac LaminopathiesR01HL150414 · NHLBI · STANFORD UNIVERSITY · PI KARAKIKES, IOANNIS · 2020 to 2023
$2.1M
NHLBI NIH HHS R01 HL139679NHLBI NIH HHS R01 HL150414Wellcome Trust
6 · The paper itself

Abstract

backgroundCardiomyopathies are a leading cause of progressive heart failure and sudden cardiac death; however, their genetic aetiology remains poorly understood. We hypothesised that variants in noncoding regulatory regions and oligogenic inheritance mechanisms may help close the diagnostic gap.

methodsWe first analysed whole-genome sequencing data of 143 parent-offspring trios from Genomics England 100,000 Genomes Project. We used gene panel testing and a phenotype-based, variant prioritisation framework called Exomiser to identify candidate genes in trios. To assess the contribution of noncoding DNVs to cardiomyopathies, we intersected DNVs with open chromatin sequences from single-cell ATAC-seq data of cardiomyocytes. We also performed a case-control analysis in an exome-negative cohort, including 843 probands and 19,467 controls, to assess the association between noncoding variants in known cardiomyopathy genes and disease.

resultsIn the trio analysis, a definite or probable genetic diagnosis was identified in 21 probands according to the American College of Medical Genetics guidelines. We identified novel DNVs in diagnostic-grade genes (RYR2, TNNT2, PTPN11, MYH7, LZR1, NKX2-5), and five cases harbouring a combination of prioritised variants, suggesting that oligogenic inheritance and genetic modifiers contribute to cardiomyopathies. Phenotype-based ranking of candidate genes identified in noncoding DNV analysis revealed JPH2 as the top candidate. Moreover, a case-control analysis revealed an enrichment of rare noncoding variants in regulatory elements of cardiomyopathy genes (p = .035, OR = 1.43, 95% Cl = 1.095-1.767) versus controls. Of the 25 variants associated with disease  (p< 0.5), 23 are novel and nine are predicted to disrupt transcription factor binding motifs.

conclusionOur results highlight complex genetic mechanisms in cardiomyopathies and reveal novel genes for future investigations.

Indexed as

CardiomyopathiesGenetic Predisposition to DiseaseExomeHumansPhenotypeRegulatory Sequences, Nucleic AcidCardiomyopathyDe novoNoncodingOligogenicRegulomeSingle-cell

Identifiers

PMID36357925
PMCPMC9647983
OpenAlexW4308883294

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.