Using Population Descriptors in Genetics and Genomics Research A New Framework for an Evolving Field

Genetic and genomic information has become far more accessible, and research using human genetic data has grown exponentially over the past decade. Genetics and genomics research is now being conducted by a wide range of investigators across disciplines, who often use population descriptors inconsis...

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Bibliographic Details
Main Author: National Academies of Sciences, Engineering, and Medicine (author)
Corporate Author: National Academies of Sciences, Engineering, and Medicine, author (author)
Other Authors: Education, Division of Behavioral and Social Sciences and (-), Division, Health and Medicine, Population, Committee on, Policy, Board on Health Sciences, Committee on the Use of Race, Ethnicity, and Ancestry as Population Descriptors in Genomics Research
Format: eBook
Language:Inglés
Published: Washington, D.C. : National Academies Press 2023.
Edition:1st ed
Series:Consensus study report
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009803438106719
Description
Summary:Genetic and genomic information has become far more accessible, and research using human genetic data has grown exponentially over the past decade. Genetics and genomics research is now being conducted by a wide range of investigators across disciplines, who often use population descriptors inconsistently and/or inappropriately to capture the complex patterns of continuous human genetic variation. In response to a request from the National Institutes of Health, the National Academies assembled an interdisciplinary committee of expert volunteers to conduct a study to review and assess existing methodologies, benefits, and challenges in using race, ethnicity, ancestry, and other population descriptors in genomics research. The resulting report focuses on understanding the current use of population descriptors in genomics research, examining best practices for researchers, and identifying processes for adopting best practices within the biomedical and scientific communities.
Physical Description:1 online resource (241 pages)
ISBN:9780309700689
9780309700665