Literature DB >> 33244164

A state-based approach to genomics for rare disease and population screening.

Kelly M East1, Whitley V Kelley2, Ashley Cannon3, Meagan E Cochran2, Irene P Moss4, Thomas May2,5, Mariko Nakano-Okuno3, Stephen O Sodeke6, Jeffrey C Edberg3, James J Cimino3, Mona Fouad3, William A Curry3, Anna C E Hurst3, Kevin M Bowling2, Michelle L Thompson2, E Martina Bebin3, Robert D Johnson3, Gregory M Cooper2, Matthew Might3, Gregory S Barsh2, Bruce R Korf3.   

Abstract

PURPOSE: The Alabama Genomic Health Initiative (AGHI) is a state-funded effort to provide genomic testing. AGHI engages two distinct cohorts across the state of Alabama. One cohort includes children and adults with undiagnosed rare disease; a second includes an unselected adult population. Here we describe findings from the first 176 rare disease and 5369 population cohort AGHI participants.
METHODS: AGHI participants enroll in one of two arms of a research protocol that provides access to genomic testing results and biobank participation. Rare disease cohort participants receive genome sequencing to identify primary and secondary findings. Population cohort participants receive genotyping to identify pathogenic and likely pathogenic variants for actionable conditions.
RESULTS: Within the rare disease cohort, genome sequencing identified likely pathogenic or pathogenic variation in 20% of affected individuals. Within the population cohort, 1.5% of individuals received a positive genotyping result. The rate of genotyping results corroborated by reported personal or family history varied by gene.
CONCLUSIONS: AGHI demonstrates the ability to provide useful health information in two contexts: rare undiagnosed disease and population screening. This utility should motivate continued exploration of ways in which emerging genomic technologies might benefit broad populations.

Entities:  

Mesh:

Year:  2020        PMID: 33244164      PMCID: PMC8311654          DOI: 10.1038/s41436-020-01034-4

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  7 in total

1.  The Rise of Population Genomic Screening: Characteristics of Current Programs and the Need for Evidence Regarding Optimal Implementation.

Authors:  Kimberly S Foss; Julianne M O'Daniel; Jonathan S Berg; Sabrina N Powell; Rosemary Jean Cadigan; Kristine J Kuczynski; Laura V Milko; Katherine W Saylor; Megan Roberts; Karen Weck; Gail E Henderson
Journal:  J Pers Med       Date:  2022-04-26

2.  Returning actionable genomic results in a research biobank: Analytic validity, clinical implementation, and resource utilization.

Authors:  Carrie L Blout Zawatsky; Nidhi Shah; Kalotina Machini; Emma Perez; Kurt D Christensen; Hana Zouk; Marcie Steeves; Christopher Koch; Melissa Uveges; Janelle Shea; Nina Gold; Joel Krier; Natalie Boutin; Lisa Mahanta; Heidi L Rehm; Scott T Weiss; Elizabeth W Karlson; Jordan W Smoller; Matthew S Lebo; Robert C Green
Journal:  Am J Hum Genet       Date:  2021-11-08       Impact factor: 11.025

3.  Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases.

Authors:  Francisco M De La Vega; Shimul Chowdhury; Barry Moore; Erwin Frise; Jeanette McCarthy; Edgar Javier Hernandez; Terence Wong; Kiely James; Lucia Guidugli; Pankaj B Agrawal; Casie A Genetti; Catherine A Brownstein; Alan H Beggs; Britt-Sabina Löscher; Andre Franke; Braden Boone; Shawn E Levy; Katrin Õunap; Sander Pajusalu; Matt Huentelman; Keri Ramsey; Marcus Naymik; Vinodh Narayanan; Narayanan Veeraraghavan; Paul Billings; Martin G Reese; Mark Yandell; Stephen F Kingsmore
Journal:  Genome Med       Date:  2021-10-14       Impact factor: 11.117

4.  Public Interest in Population Genetic Screening for Cancer Risk.

Authors:  Megan C Roberts; Kimberly S Foss; Gail E Henderson; Sabrina N Powell; Katherine W Saylor; Karen E Weck; Laura V Milko
Journal:  Front Genet       Date:  2022-07-22       Impact factor: 4.772

5.  Developing CIRdb as a catalog of natural genetic variation in the Canary Islanders.

Authors:  Ana Díaz-de Usera; Luis A Rubio-Rodríguez; Adrián Muñoz-Barrera; Jose M Lorenzo-Salazar; Beatriz Guillen-Guio; David Jáspez; Almudena Corrales; Antonio Íñigo-Campos; Víctor García-Olivares; María Del Cristo Rodríguez Pérez; Itahisa Marcelino-Rodríguez; Antonio Cabrera de León; Rafaela González-Montelongo; Carlos Flores
Journal:  Sci Rep       Date:  2022-09-27       Impact factor: 4.996

6.  Characteristics and experiences of patients from a community-based and consumer-directed hereditary cancer population screening initiative.

Authors:  Veronica Greve; Katherine Odom; Susanna Pudner; Neil E Lamb; Sara J Cooper; Kelly East
Journal:  HGG Adv       Date:  2021-08-24

7.  Evaluation of population-level pharmacogenetic actionability in Alabama.

Authors:  Brittney H Davis; Kelly Williams; Devin Absher; Bruce Korf; Nita A Limdi
Journal:  Clin Transl Sci       Date:  2021-06-24       Impact factor: 4.689

  7 in total

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