Using population descriptors in genetics and genomics research : a new framework for an evolving field /

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Bibliographic Details
Corporate author / creator:National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on the Use of Race, Ethnicity, and Ancestry as Population Descriptors in Genomics Research, author.
Imprint:Washington, DC : National Academies Press, 2023.
©2023
Description:1 online resource ( xxi, 217 pages) : illustrations.
Language:English
Series:Consensus study report
Consensus study report.
Subject:
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13155771
Hidden Bibliographic Details
ISBN:0309700663
9780309700665
9780309700658
0309700655
Notes:"National Academies Press"
Includes bibliographical references.
Description based on online resource; title from title screen (viewed July 12, 2023).
Description based on print version record.
Other form:Print version: National Academies of Sciences, Engineering, and Medicine. Using Population Descriptors in Genetics and Genomics Research 0309700655
Standard no.:10.17226/26902
Review by Choice Review

This critical Consensus Study Report was commissioned by the National Institutes of Health and produced by the National Academies of Sciences, Engineering, and Medicine. Its intention is to clarify the scientific rationales for describing research participants and their group labels, focusing on the current imprecise use of race and ethnicity descriptors. Highlights include 13 recommendations to motivate researchers to consider when and how many population descriptors are necessary, which ones are appropriate for what type of study, and what additional information may be needed for accuracy. A 17-member committee of diverse experts conducted outreach, a literature review, and held open meetings and public workshops to develop a framework consisting of five guiding principles falling into three categories: (1) requisites to achieve sustained change in genetics and genomics practice and research, (2) guidance and best practices for researchers concerning the use of population descriptors organized by type of genomics study, and (3) implementation and accountability strategies for relevant parties supporting work in the genomics research ecosystem. This must-read guidebook ends with an outstanding decision tree guiding researchers on how to use population descriptors for their own proposed research. Summing Up: Highly recommended. Advanced undergraduates through faculty. --Carrie Leigh Iwema, independent scholar

Copyright American Library Association, used with permission.
Review by Choice Review