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Record W2983262316 · doi:10.1101/19007344

Genetics of Unexplained Sudden Cardiac Death in Adult Caucasian and African American Individuals Living in the State of Maryland

2019· preprint· en· W2983262316 on OpenAlexaff
Liang Guo, Sho Torii, Raquel Fernandez, Ryan Braumann, Ka Hyun Paek, Daniela T. Fuller, Christina M. Mayhew, Roya Zarpak, Hiroyuki Jinnouchi, Atsushi Sakamoto, Yu Sato, Hiroyoshi Mori, Matthew Kutyna, Parker J. Lee, Leah Weinstein, Carlos J. Collado-Rivera, Neel Gadhoke, Bakr B. Ali, Dheeraj R. Atmakuri, Roma Dhingra, Emma L. B. Finn, Mack W. Bell, Anne Cornelissen, Salomé Kuntz, Joohyung Park, Robert Kutys, Libin Wang, Susie N. Hong, Anuj Gupta, Frank D. Kolodgie, Maria Romero, Braxton D. Mitchell, Dipti Surve, David R. Fowler, Charles C. Hong, Renu Virmani, Aloke V. Finn

Bibliographic record

VenuemedRxiv · 2019
Typepreprint
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsOffice of the Chief Medical Examiner
FundersCVPath Institute
KeywordsMedicineSudden cardiac deathHypertrophic cardiomyopathyBrugada syndromeCardiomyopathyInternal medicineSudden deathAutopsyGenetic testingCardiologyCause of deathArrhythmogenic right ventricular dysplasiaPathologicalHeart failureDisease

Abstract

fetched live from OpenAlex

ABSTRACT Background Unexplained-sudden cardiac death (SCD) describes SCD with no cause identified after a comprehensive autopsy and toxicologic examination. Genetic testing helps to diagnose inherited cardiac diseases in unexplained-SCD, however, the relationship between pathogenic or likely pathogenic (P/LP) variants of inherited cardiomyopathies and primary electrical disorders (PED) and risk of unexplained-SCD in adults living the United States has never been systematically examined. Methods We performed sequencing of 29 cardiomyopathy and 39 arrhythmia genes in 413 African-Americans and Caucasians (≥18 years-old) who died of unexplained-SCD (median age; 41 years-old, 37% females, 50% African-Americans) and whose hearts were found to have no gross pathological finding upon referral to our institution for pathologic consultation from the State of Maryland Medical Examiner. We examined P/LP variants in these genes to study the association between presence of these variants and unexplained-SCD. Results 143/413 (34.6%) subjects had variants considered P/LP for cardiomyopathy and/or PED (i.e. Brugada Syndrome (BrS), long QT syndrome (LQTS), and arrhythmogenic right ventricular dysplasia (ARVD)). In total, 102 (24.7%) subjects harbored 86 P/LP variants for cardiomyopathies and 60 (14.5%) subjects carried 76 P/LP variants for PED. The following pathogenic variants were identified: 68 P/LP variants for hypertrophic cardiomyopathy (HCM) in 79/413 (19.1%) subjects, 18 P/LP variants for dilated cardiomyopathy (DCM) in 22/413 subjects (5.3%), and 76 P/LP variants in 60/413 (14.5%) for PED. There were greater than 121.0- and 138.5-fold median enrichments (431.4- and 200.0-fold cumulative enrichments) in these cardiomyopathy and arrhythmia variants in victims of unexplained SCD versus the general population, respectively. Among these P/LP positive carriers, combinations of conditions were found, including 14/413 (2.4%) having both HCM and PED variants, and 5/413 (1.2%) with DCM and PED variants. African Americans (AA) and Caucasians were equally likely to harbor P/LP variants (32.7% versus 36.6%, p=0.5), but AA had a higher frequent variants of unknown significance. Conclusions This study represents the largest examination reported on the association between cardiomyopathy and arrhythmia P/LP genetic variants and unexplained-SCD in adults with no gross abnormality on rigorous pathological examination. Nearly one-third of those with unexplained-SCD were carriers of P/LP variants. Our findings with respect to both the association of unexplained SCD with cardiomyopathy genes and race-specific genetic variants suggest new avenues of study for this poorly understood entity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.270
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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