Evidence map›Paper›PMID 29501670›Full record

ArticleHeart rhythm2018

Amino acid-level signal-to-noise analysis of incidentally identified variants in genes associated with long QT syndrome during pediatric whole exome sequencing reflects background genetic noise.

Andrew P Landstrom, Ernesto Fernandez, Jill A Rosenfeld, Yaping Yang, Andrew L Dailey-Schwartz, Christina Y Miyake, Hugh D Allen, Daniel J Penny, Jeffrey J Kim

Open access · greenAbstract read
In one paragraph

Article in Heart rhythm, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  3. Circulation. Genomic and precision medicine · 2023
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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

9 authors at 2 institutions in 1 country.

Andrew P LandstromDepartment of Pediatrics, Section of Pediatric Cardiology, Baylor College of Medicine, Houston, Texas. Electronic address: andrew.landstrom@duke.edu.
Ernesto FernandezDepartment of Pediatrics, Section of Pediatric Cardiology, Baylor College of Medicine, Houston, Texas.
Jill A RosenfeldBaylor Miraca Genetic Laboratories, Houston, Texas.
Yaping YangBaylor Miraca Genetic Laboratories, Houston, Texas.
Andrew L Dailey-SchwartzDepartment of Pediatrics, Section of Pediatric Cardiology, Baylor College of Medicine, Houston, Texas.
Christina Y MiyakeDepartment of Pediatrics, Section of Pediatric Cardiology, Baylor College of Medicine, Houston, Texas.
Hugh D AllenDepartment of Pediatrics, Section of Pediatric Cardiology, Baylor College of Medicine, Houston, Texas.
Daniel J PennyDepartment of Pediatrics, Section of Pediatric Cardiology, Baylor College of Medicine, Houston, Texas.
Jeffrey J KimDepartment of Pediatrics, Section of Pediatric Cardiology, Baylor College of Medicine, Houston, Texas.
Baylor College of Medicine · USBaylor Genetics · US

Funding

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 L40 HL129273
6 · The paper itself

Abstract

backgroundDue to rapid expansion of clinical genetic testing, an increasing number of genetic variants of undetermined significance and unclear diagnostic value are being identified in children. Variants found in genes associated with heritable channelopathies, such as long QT syndrome (LQTS), are particularly difficult to interpret given the risk of sudden cardiac death associated with pathologic mutations.

objectiveThe purpose of this study was to determine whether variants in LQTS-associated genes from whole exome sequencing (WES) represent disease-associated biomarkers or background genetic "noise."

methodsWES variants from Baylor Genetics Laboratories were obtained for 17 LQTS-associated genes. Rare variants from healthy controls were obtained from the GnomAD database. LQTS case variants were extracted from the literature. Amino acid-level mapping and signal-to-noise calculations were conducted. Clinical history and diagnostic studies were analyzed for WES subjects evaluated at our institution.

resultsVariants in LQTS case-associated genes were present in 38.3% of 7244 WES probands. There was a similar frequency of variants in the WES and healthy cohorts for LQTS1-3 (11.2% and 12.9%, respectively) and LQTS4-17 (27.1% and 38.4%, respectively). WES variants preferentially localized to amino acids altered in control individuals compared to cases. Based on amino acid-level analysis, WES-identified variants are indistinguishable from healthy background variation, whereas LQTS1 and 2 case-identified variants localized to clear pathologic "hotspots." No individuals who underwent clinical evaluation had clinical suspicion for LQTS.

conclusionThe prevalence of incidentally identified LQTS-associated variants is ∼38% among WES tests. These variants most likely represent benign healthy background genetic variation rather than disease-associated mutations.

Indexed as

Genetic Predisposition to DiseaseMutationAdolescentAmino AcidsChildDNADNA Mutational AnalysisExomeExome SequencingFemaleGenetic TestingGenetic VariationHumansLong QT SyndromeMalePhenotypeAmino AcidsDNAGeneticsGenetic testingLong QT syndromeMutationVariant of undetermined significanceWhole exome sequencing

Identifiers

PMID29501670
PMCPMC6026069
OpenAlexW2790869920

What OpenQuestion holds

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LicenceTDM
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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.