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A Genomic Counseling Model for Population-Based Sequencing: A Pre-Post Intervention Study.
Casalino, Selina; Mighton, Chloe; Clausen, Marc; Frangione, Erika; Aujla, Navneet; MacDonald, Georgia; Young, Juliet; Jordan Fung, Chun Yiu; Morgan, Gregory; Arnoldo, Saranya; Bearss, Erin; Binnie, Alexandra; Borgundvaag, Bjug; Chowdhary, Sunakshi; Dagher, Marc; Devine, Luke; Friedman, Steven Marc; Hao, Limin; Khan, Zeeshan; Lane, William; Lapadula, Elisa; Lebo, Matthew; Richardson, David; Stern, Seth; Strug, Lisa; Taher, Ahmed; Greenfeld, Elena; Noor, Abdul; Faghfoury, Hanna; Taher, Jennifer; Bombard, Yvonne; Lerner-Ellis, Jordan.
Afiliación
  • Casalino S; Mount Sinai Hospital, Sinai Health; Lunenfeld-Tanenbaum Research Institute, Sinai Health.
  • Mighton C; Mount Sinai Hospital, Sinai Health; Lunenfeld-Tanenbaum Research Institute, Sinai Health; University of Toronto; Unity Health Toronto.
  • Clausen M; Unity Health Toronto.
  • Frangione E; Mount Sinai Hospital, Sinai Health; Lunenfeld-Tanenbaum Research Institute, Sinai Health.
  • Aujla N; Mount Sinai Hospital, Sinai Health; Lunenfeld-Tanenbaum Research Institute, Sinai Health.
  • MacDonald G; Mount Sinai Hospital, Sinai Health; Lunenfeld-Tanenbaum Research Institute, Sinai Health.
  • Young J; Mount Sinai Hospital, Sinai Health; Lunenfeld-Tanenbaum Research Institute, Sinai Health.
  • Jordan Fung CY; Mount Sinai Hospital, Sinai Health; Lunenfeld-Tanenbaum Research Institute, Sinai Health.
  • Morgan G; Mount Sinai Hospital, Sinai Health; Lunenfeld-Tanenbaum Research Institute, Sinai Health; University of Toronto.
  • Arnoldo S; University of Toronto; William Osler Health System.
  • Bearss E; Mount Sinai Hospital, Sinai Health.
  • Binnie A; University of Toronto; William Osler Health System.
  • Borgundvaag B; University of Toronto; Schwartz/Reisman Emergency Medicine Institute, Sinai Health.
  • Chowdhary S; University Health Network.
  • Dagher M; Women's College Hospital.
  • Devine L; Mount Sinai Hospital, Sinai Health; University of Toronto.
  • Friedman SM; Mount Sinai Hospital, Sinai Health; University Health Network.
  • Hao L; Laboratory for Molecular Medicine, Partner Personalized Medicine.
  • Khan Z; Mackenzie Health.
  • Lane W; Harvard Medical School & Brigham and Women's Hospital.
  • Lapadula E; Mount Sinai Hospital, Sinai Health; Lunenfeld-Tanenbaum Research Institute, Sinai Health.
  • Lebo M; Laboratory for Molecular Medicine, Partner Personalized Medicine; Harvard Medical School & Brigham and Women's Hospital.
  • Richardson D; William Osler Health System.
  • Stern S; Mackenzie Health.
  • Strug L; The Hospital for Sick Children.
  • Taher A; University of Toronto; University Health Network; Mackenzie Health.
  • Greenfeld E; Mount Sinai Hospital, Sinai Health; University of Toronto.
  • Noor A; Mount Sinai Hospital, Sinai Health; University of Toronto.
  • Faghfoury H; Mount Sinai Hospital, Sinai Health; University of Toronto; University Health Network.
  • Taher J; Mount Sinai Hospital, Sinai Health; University of Toronto.
  • Bombard Y; University of Toronto; Unity Health Toronto. Electronic address: Yvonne.bombard@utoronto.ca.
  • Lerner-Ellis J; Mount Sinai Hospital, Sinai Health; Lunenfeld-Tanenbaum Research Institute, Sinai Health; University of Toronto. Electronic address: Jordan.lerner-ellis@sinaihealth.ca.
Genet Med ; : 101272, 2024 Sep 17.
Article en En | MEDLINE | ID: mdl-39301805
ABSTRACT

BACKGROUND:

Novel uses of genome sequencing (GS) present an opportunity for return of results to healthy individuals, prompting the need for scalable genetic counseling strategies. We evaluate the effectiveness of a genomic counseling model (GCM) and explore preferences for GS findings in the general population.

METHODS:

Participants (N=466) completed GS and our GCM (digital genomics platform and group-based webinar), and indicated results preferences. Surveys were administered pre- (T0) and post- (T1) GCM. Change in knowledge and decisional conflict (DC) were evaluated using paired-sample T and Wilcoxon tests. Factors influencing knowledge and results preferences were evaluated using linear and logistic regression models.

RESULTS:

Participants were 56% female, 58% white, and 53% ≥40 years of age. Mean knowledge scores increased (

Limitations:

3.73 to 5.63; benefits 3.73 to 5.48, p<0.0001) and DC decreased (-21.9, p<0.0001) at T1 versus T0. Eighty-six percent of participants wished to learn all GS findings at T1 vs 78% at T0 (p<0.0001). Older age, negative/mixed attitudes toward genetics, and greater DC were associated with change in preferences post-intervention.

CONCLUSION:

In a population-based cohort undergoing GS interested in learning GS findings, our GCM increased knowledge and reduced DC, illustrating the GCM's potential effectiveness for GS counseling in the general population.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Genet Med Asunto de la revista: GENETICA MEDICA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Genet Med Asunto de la revista: GENETICA MEDICA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos