Evidence map›Paper›PMID 39035665›Full record

ArticleJSES international2024

Identification of rare genetic variants for rotator cuff tearing and repair in high-risk pedigrees.

Robert Z Tashjian, Michael J Jurynec, Kyle Christy, Jeff Stevens, Craig C Teerlink, Lisa Cannon-Albright, Kristina Allen-Brady

Abstract read
In one paragraph

Article in JSES international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Robert Z TashjianDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, USA.
Michael J JurynecDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, USA.
Kyle ChristyDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
Jeff StevensDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
Craig C TeerlinkDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
Lisa Cannon-AlbrightDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
Kristina Allen-BradyDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Common genetic variants with small effect sizes have been associated with rotator cuff tearing although very few rare, highly penetrant variants have been identified. The purpose of this pilot study was to identify dominant coding variants that segregated with affected individuals in pedigrees at high risk for rotator cuff tears (RCTs). We hypothesize that rare variants contribute to symptomatic RCTs and that they can be identified in related cases with a full-thickness tear requiring surgical management. Methods: We used the Utah Population Database to identify pedigrees that exhibited a significant excess of individuals who had undergone surgical repair of a full-thickness RCT. We analyzed whole exome sequence analysis to identify rare coding variants in 9 independent affected cousin pairs (first or second cousins) who had undergone arthroscopic surgery for repair of a full-thickness RCT (mean age at diagnosis 68 years). Validation of association of the candidate variants with risk for rotator cuff tearing was accomplished utilizing data from the UK Biobank and a separate cohort of unrelated cases of full-thickness RCTs. Results: A total of 82 rare (minor allele frequency <0.005) coding variants were identified as shared in at least one cousin pair affected with full-thickness rotator cuff tearing belonging to a high-risk pedigree, which included variants in Discussion: The analysis of closely related individuals with confirmed full-thickness RCTs from high-risk pedigrees has identified 82 rare, shared candidate genetic predisposition coding variants. Association of the

Indexed as

APBB1Genetic variantsHigh riskPDLIM7PedigreesRotator cuff tearUPDB

Identifiers

PMID39035665
PMCPMC11258828

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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.