Matrisome and Immune Pathways Contribute to Extreme Vascular Outcomes in Williams-Beuren Syndrome.

Williams–Beuren syndrome adaptive/innate immune system elastin (ELN) extreme phenotype pathway analysis supravalvar aortic stenosis

Journal

Journal of the American Heart Association
ISSN: 2047-9980
Titre abrégé: J Am Heart Assoc
Pays: England
ID NLM: 101580524

Informations de publication

Date de publication:
31 Jan 2024
Historique:
medline: 31 1 2024
pubmed: 31 1 2024
entrez: 31 1 2024
Statut: aheadofprint

Résumé

Supravalvar aortic stenosis (SVAS) is a characteristic feature of Williams-Beuren syndrome (WBS). Its severity varies: ~20% of people with Williams-Beuren syndrome have SVAS requiring surgical intervention, whereas ~35% have no appreciable SVAS. The remaining individuals have SVAS of intermediate severity. Little is known about genetic modifiers that contribute to this variability. We performed genome sequencing on 473 individuals with Williams-Beuren syndrome and developed strategies for modifier discovery in this rare disease population. Approaches include extreme phenotyping and nonsynonymous variant prioritization, followed by gene set enrichment and pathway-level association tests. We next used GTEx v8 and proteomic data sets to verify expression of candidate modifiers in relevant tissues. Finally, we evaluated overlap between the genes/pathways identified here and those ascertained through larger aortic disease/trait genome-wide association studies. We show that SVAS severity in Williams-Beuren syndrome is associated with increased frequency of common and rarer variants in matrisome and immune pathways. Two implicated matrisome genes ( Smaller sample sizes in rare disease studies necessitate new approaches to detect modifiers. Our strategies identified variation in matrisome and immune pathways that are associated with SVAS severity. These findings suggest that, like other aortopathies, SVAS may be influenced by the balance of synthesis and degradation of matrisome proteins. Leveraging multiomic data and results from larger aorta-focused genome-wide association studies may accelerate modifier discovery for rare aortopathies like SVAS.

Sections du résumé

BACKGROUND BACKGROUND
Supravalvar aortic stenosis (SVAS) is a characteristic feature of Williams-Beuren syndrome (WBS). Its severity varies: ~20% of people with Williams-Beuren syndrome have SVAS requiring surgical intervention, whereas ~35% have no appreciable SVAS. The remaining individuals have SVAS of intermediate severity. Little is known about genetic modifiers that contribute to this variability.
METHODS AND RESULTS RESULTS
We performed genome sequencing on 473 individuals with Williams-Beuren syndrome and developed strategies for modifier discovery in this rare disease population. Approaches include extreme phenotyping and nonsynonymous variant prioritization, followed by gene set enrichment and pathway-level association tests. We next used GTEx v8 and proteomic data sets to verify expression of candidate modifiers in relevant tissues. Finally, we evaluated overlap between the genes/pathways identified here and those ascertained through larger aortic disease/trait genome-wide association studies. We show that SVAS severity in Williams-Beuren syndrome is associated with increased frequency of common and rarer variants in matrisome and immune pathways. Two implicated matrisome genes (
CONCLUSIONS CONCLUSIONS
Smaller sample sizes in rare disease studies necessitate new approaches to detect modifiers. Our strategies identified variation in matrisome and immune pathways that are associated with SVAS severity. These findings suggest that, like other aortopathies, SVAS may be influenced by the balance of synthesis and degradation of matrisome proteins. Leveraging multiomic data and results from larger aorta-focused genome-wide association studies may accelerate modifier discovery for rare aortopathies like SVAS.

Identifiants

pubmed: 38293922
doi: 10.1161/JAHA.123.031377
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e031377

Auteurs

Delong Liu (D)

National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.

Charles J Billington (CJ)

National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.
Department of Pediatrics University of Minnesota Minneapolis MN.

Neelam Raja (N)

National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.

Zoe C Wong (ZC)

National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.

Mark D Levin (MD)

National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.

Wulfgang Resch (W)

The High Performance Computing Facility Center for Information Technology, National Institutes of Health Bethesda MD.

Camille Alba (C)

Henry M Jackson Foundation for the Advancement of Military Medicine Bethesda MD.

Daniel N Hupalo (DN)

Henry M Jackson Foundation for the Advancement of Military Medicine Bethesda MD.

Elisa Biamino (E)

Department of Pediatrics University of Turin Italy.

Maria Francesca Bedeschi (MF)

Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico Medical Genetic Unit Milan Italy.

Maria Cristina Digilio (MC)

Medical Genetics Department Bambino Gesù Children's Hospital, IRCCS Rome Italy.

Gabriella Maria Squeo (GM)

Laboratory of Regulatory and Functional Genomics Fondazione IRCCS Casa Sollievo della Sofferenza San Giovanni Rotondo (Foggia) Italy.

Roberta Villa (R)

Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico Medical Genetic Unit Milan Italy.

Pheobe C R Parrish (PCR)

National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.
Department of Genome Sciences University of Washington Seattle WA.

Russell H Knutsen (RH)

National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.

Sharon Osgood (S)

National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.

Joy A Freeman (JA)

National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.

Clifton L Dalgard (CL)

Department of Anatomy, Physiology and Genetics, School of Medicine the Uniformed Services University of the Health Sciences Bethesda MD.

Giuseppe Merla (G)

Laboratory of Regulatory and Functional Genomics Fondazione IRCCS Casa Sollievo della Sofferenza San Giovanni Rotondo (Foggia) Italy.
Department of Molecular Medicine and Medical Biotechnology University of Naples Federico II Naples Italy.

Barbara R Pober (BR)

Section of Genetics, Department of Pediatrics Massachusetts General Hospital Boston MA.

Carolyn B Mervis (CB)

Department of Psychological and Brain Sciences University of Louisville Louisville KY.

Amy E Roberts (AE)

Department of Cardiology and Division of Genetics and Genomics, Department of Pediatrics Boston Children's Hospital Boston MA.

Colleen A Morris (CA)

Department of Pediatrics Kirk Kerkorian School of Medicine at UNLV Las Vegas NV.

Lucy R Osborne (LR)

Departments of Medicine and Molecular Genetics University of Toronto Canada.

Beth A Kozel (BA)

National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD.

Classifications MeSH