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Record W4385782227 · doi:10.1016/j.xhgg.2023.100232

Rare variants in CAPN2 increase risk for isolated hypoplastic left heart syndrome

2023· article· en· W4385782227 on OpenAlexafffund
Elizabeth Blue, Janson J. White, Michael Dush, William W. Gordon, Brent Wyatt, Peter White, Colby T. Marvin, Emmi Helle, Tiina Ojala, James R. Priest, Mary M. Jenkins, Lynn M. Almli, Jennita Reefhuis, Faith Pangilinan, Lawrence C. Brody, Kim L. McBride, Vidu Garg, Gary M. Shaw, Paul A. Romitti, Wendy N. Nembhard, Marilyn L. Browne, Martha M. Werler, Denise M. Kay, Seema Mital, Jessica X. Chong, Nanette M. Nascone‐Yoder, Michael J. Bamshad

Bibliographic record

VenueHuman Genetics and Genomics Advances · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentNational Human Genome Research InstituteCenters for Disease Control and PreventionNational Institutes of HealthSydäntutkimussäätiöLastentautien TutkimussäätiöAcademy of FinlandChildren's Hospital FoundationCanadian Institutes of Health ResearchSuomen Lääketieteen SäätiöCalifornia Department of Public HealthUniversity of WashingtonNational Heart, Lung, and Blood InstituteHospital for Sick ChildrenHeart and Stroke Foundation of CanadaU.S. Department of Veterans AffairsFoundation for Cardiovascular ResearchHelsingin YliopistoNationwide Children's Hospital
KeywordsHypoplastic left heart syndromeZebrafishHypoplasiaInternal medicineVentricleBiologyGeneticsCardiologyHeart diseaseMedicineGene

Abstract

fetched live from OpenAlex

Hypoplastic left heart syndrome (HLHS) is a severe congenital heart defect (CHD) characterized by hypoplasia of the left ventricle and aorta along with stenosis or atresia of the aortic and mitral valves. HLHS represents only ∼4-8% of all CHDs but accounts for ∼25% of deaths. HLHS is an isolated defect (i.e., iHLHS) in 70% of families, the vast majority of which are simplex. Despite intense investigation, the genetic basis of iHLHS remains largely unknown. We performed exome sequencing on 331 families with iHLHS aggregated from four independent cohorts. A Mendelian model-based analysis demonstrated that iHLHS was not due to single, large effect alleles in genes previously reported to underlie iHLHS or CHD in >90% of families in this cohort. Gene-based association testing identified increased risk for iHLHS associated with CAPN2 (p=1.8x10-5), encoding a protein involved in functional adhesion. Functional validation studies in a vertebrate animal model (Xenopus laevis) confirmed CAPN2 is essential for cardiac ventricle morphogenesis, that in vivo loss of calpain function causes hypoplastic ventricle phenotypes, and suggest that human CAPN2707C>T and CAPN21112C>T variants, each found in multiple individuals with iHLHS, are hypomorphic alleles. Collectively, our findings show that iHLHS is typically not a Mendelian condition, demonstrate that CAPN2 variants increase risk of iHLHS, and identify a novel pathway involved in HLHS pathogenesis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.287
Teacher spread0.274 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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