Evidence map›Paper›PMID 35629155›Full record

ArticleJournal of personalized medicine2022

Signal-to-Noise Analysis Can Inform the Likelihood That Incidentally Identified Variants in Sarcomeric Genes Are Associated with Pediatric Cardiomyopathy.

Leonie M Kurzlechner, Edward G Jones, Amy M Berkman, Hanna J Tadros, Jill A Rosenfeld, Yaping Yang, Hari Tunuguntla, Hugh D Allen, Jeffrey J Kim, Andrew P Landstrom

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Circulation. Genomic and precision medicine · 2023
    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

10 authors at 2 institutions in 1 country.

Leonie M KurzlechnerDivision of Pediatric Cardiology, Department of Pediatrics, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-9305-0669
Edward G JonesSection of Pediatric Cardiology, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA.
Amy M BerkmanDivision of Pediatric Cardiology, Department of Pediatrics, Duke University School of Medicine, Durham, NC 27710, USA.
Hanna J TadrosSection of Pediatric Cardiology, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA.
Jill A RosenfeldDepartment of Molecular and Human Genetics, Baylor Genetics Laboratories, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0001-5664-7987
Yaping YangDepartment of Molecular and Human Genetics, Baylor Genetics Laboratories, Baylor College of Medicine, Houston, TX 77030, USA.
Hari TunuguntlaSection of Pediatric Cardiology, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA.
Hugh D AllenSection of Pediatric Cardiology, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA.
Jeffrey J KimSection of Pediatric Cardiology, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA.
Andrew P LandstromDivision of Pediatric Cardiology, Department of Pediatrics, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-1878-9631
Baylor College of Medicine · USDuke University · US

Funding

The Role of PRDM16 in Cardiac Development and CardiomyopathyR01HL149870 · NHLBI · UNIVERSITY OF UTAH · PI BOUDINA, SIHEM · 2020 to 2023
$2.8M
Stimulating Access to Research in Residency (StARR) - NHLBIR38HL143612 · NHLBI · DUKE UNIVERSITY · PI Mai ElMallah, David H. Harpole · 2018 to 2026
$2.6M
The Role of Junctophilin Type 2 in Cardiac Node AutomaticityK08HL136839 · NHLBI · DUKE UNIVERSITY · PI LANDSTROM, ANDREW P. · 2017 to 2021
$769k
NHLBI NIH HHS K08 HL136839NHLBI NIH HHS R38 HL143612NIH HHS K08-HL136839NIH HHS R01-HL149870NIH HHS R38-HL143612
6 · The paper itself

Abstract

Background: Hypertrophic cardiomyopathy (HCM) is the most common heritable cardiomyopathy and can predispose individuals to sudden death. Most pediatric HCM patients host a known pathogenic variant in a sarcomeric gene. With the increase in exome sequencing (ES) in clinical settings, incidental variants in HCM-associated genes are being identified more frequently. Diagnostic interpretation of incidental variants is crucial to enhance clinical patient management. We sought to use amino acid-level signal-to-noise (S:N) analysis to establish pathogenic hotspots in sarcomeric HCM-associated genes as well as to refine the 2015 American College of Medical Genetics (ACMG) criteria to predict incidental variant pathogenicity. Methods and Results: Incidental variants in HCM genes (MYBPC3, MYH7, MYL2, MYL3, ACTC1, TPM1, TNNT2, TNNI3, and TNNC1) were obtained from a clinical ES referral database (Baylor Genetics) and compared to rare population variants (gnomAD) and variants from HCM literature cohort studies. A subset of the ES cohort was clinically evaluated at Texas Children’s Hospital. We compared the frequency of ES and HCM variants at specific amino acid locations in coding regions to rare variants (MAF < 0.0001) in gnomAD. S:N ratios were calculated at the gene- and amino acid-level to identify pathogenic hotspots. ES cohort variants were re-classified using ACMG criteria with S:N analysis as a correlate for PM1 criteria, which reduced the burden of variants of uncertain significance. In the clinical validation cohort, the majority of probands with cardiomyopathy or family history hosted likely pathogenic or pathogenic variants. Conclusions: Incidental variants in HCM-associated genes were common among clinical ES referrals, although the majority were not disease-associated. Leveraging amino acid-level S:N as a clinical tool may improve the diagnostic discriminatory ability of ACMG criteria by identifying pathogenic hotspots.

Indexed as

exome sequencinggenetic testinghypertrophic cardiomyopathyincidentally identified variantmutation hotspotsecondary finding

Identifiers

PMID35629155
PMCPMC9145017
OpenAlexW4225259889

What OpenQuestion holds

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LicenceCC BY
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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.