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Guidelines for genetic ancestry inference created through roundtable discussions.
Wagner, Jennifer K; Yu, Joon-Ho; Fullwiley, Duana; Moore, CeCe; Wilson, James F; Bamshad, Michael J; Royal, Charmaine D.
Affiliation
  • Wagner JK; School of Engineering Design and Innovation, Pennsylvania State University, University Park, PA 16802, USA.
  • Yu JH; Institute for Computational and Data Science, Pennsylvania State University, University Park, PA 16802, USA.
  • Fullwiley D; Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA.
  • Moore C; Rock Ethics Institute, Pennsylvania State University, University Park, PA 16802, USA.
  • Wilson JF; Penn State Law, University Park, PA 16802, USA.
  • Bamshad MJ; Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA.
  • Royal CD; Department of Pediatrics and Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA.
HGG Adv ; 4(2): 100178, 2023 04 13.
Article in En | MEDLINE | ID: mdl-36798092
ABSTRACT
The use of genetic and genomic technology to infer ancestry is commonplace in a variety of contexts, particularly in biomedical research and for direct-to-consumer genetic testing. In 2013 and 2015, two roundtables engaged a diverse group of stakeholders toward the development of guidelines for inferring genetic ancestry in academia and industry. This report shares the stakeholder groups' work and provides an analysis of, commentary on, and views from the groundbreaking and sustained dialogue. We describe the engagement processes and the stakeholder groups' resulting statements and proposed guidelines. The guidelines focus on five key areas application of genetic ancestry inference, assumptions and confidence/laboratory and statistical methods, terminology and population identifiers, impact on individuals and groups, and communication or translation of genetic ancestry inferences. We delineate the terms and limitations of the guidelines and discuss their critical role in advancing the development and implementation of best practices for inferring genetic ancestry and reporting the results. These efforts should inform both governmental regulation and self-regulation.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomedical Research Type of study: Guideline Limits: Humans Language: En Journal: HGG Adv Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomedical Research Type of study: Guideline Limits: Humans Language: En Journal: HGG Adv Year: 2023 Document type: Article Affiliation country: