National Academies Press: OpenBook
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

Image

Using Population
Descriptors in Genetics
and Genomics Research

A New Framework for an Evolving Field

______

Committee on the Use of Race, Ethnicity, and Ancestry
as Population Descriptors in Genomics Research

Board on Health Sciences Policy

Health and Medicine Division

Committee on Population

Division of Behavioral and Social Sciences and Education


Consensus Study Report

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

NATIONAL ACADEMIES PRESS 500 Fifth Street, NW, Washington, DC 20001

This project has been funded with federal funds under Contract No. HHSN263201800029I (75N98021F00009) between the National Academy of Sciences and the Department of Health and Human Services, National Institutes of Health: All of Us Research Program; National Cancer Institute; National Heart, Lung, and Blood Institute; National Human Genome Research Institute; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Dental and Craniofacial Research; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Environmental Health Sciences; National Institute of Nursing Research; National Institute on Aging; National Institute on Drug Abuse; National Institute on Minority Health and Health Disparities; NIH Office of Behavioral and Social Sciences Research; and NIH Office of Science Policy. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.

International Standard Book Number-13: 978-0-309-70065-8
International Standard Book Number-10: 0-309-70065-5
Digital Object Identifier: https://doi.org/10.17226/26902

This publication is available from the National Academies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624-6242 or (202) 334-3313; http://www.nap.edu.

Copyright 2023 by the National Academy of Sciences. National Academies of Sciences, Engineering, and Medicine and National Academies Press and the graphical logos for each are all trademarks of the National Academy of Sciences. All rights reserved.

Printed in the United States of America.

Suggested citation: National Academies of Sciences, Engineering, and Medicine. 2023. Using population descriptors in genetics and genomics research: A new framework for an evolving field. Washington, DC: The National Academies Press. https://doi.org/10.17226/26902.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

The National Academy of Sciences was established in 1863 by an Act of Congress, signed by President Lincoln, as a private, nongovernmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president.

The National Academy of Engineering was established in 1964 under the charter of the National Academy of Sciences to bring the practices of engineering to advising the nation. Members are elected by their peers for extraordinary contributions to engineering. Dr. John L. Anderson is president.

The National Academy of Medicine (formerly the Institute of Medicine) was established in 1970 under the charter of the National Academy of Sciences to advise the nation on medical and health issues. Members are elected by their peers for distinguished contributions to medicine and health. Dr. Victor J. Dzau is president.

The three Academies work together as the National Academies of Sciences, Engineering, and Medicine to provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. The National Academies also encourage education and research, recognize outstanding contributions to knowledge, and increase public understanding in matters of science, engineering, and medicine.

Learn more about the National Academies of Sciences, Engineering, and Medicine at www.nationalacademies.org.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

Consensus Study Reports published by the National Academies of Sciences, Engineering, and Medicine document the evidence-based consensus on the study’s statement of task by an authoring committee of experts. Reports typically include findings, conclusions, and recommendations based on information gathered by the committee and the committee’s deliberations. Each report has been subjected to a rigorous and independent peer-review process, and it represents the position of the National Academies on the statement of task.

Proceedings published by the National Academies of Sciences, Engineering, and Medicine chronicle the presentations and discussions at a workshop, symposium, or other event convened by the National Academies. The statements and opinions contained in proceedings are those of the participants and are not endorsed by other participants, the planning committee, or the National Academies.

Rapid Expert Consultations published by the National Academies of Sciences, Engineering, and Medicine are authored by subject-matter experts on narrowly focused topics that can be supported by a body of evidence. The discussions contained in rapid expert consultations are considered those of the authors and do not contain policy recommendations. Rapid expert consultations are reviewed by the institution before release.

For information about other products and activities of the National Academies, please visit www.nationalacademies.org/about/whatwedo.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

COMMITTEE ON THE USE OF RACE, ETHNICITY, AND ANCESTRY AS POPULATION DESCRIPTORS IN GENOMICS RESEARCH1

ARAVINDA CHAKRAVARTI (Cochair), Director, Center for Human Genetics and Genomics; Muriel G. & George W. Singer Professor of Neuroscience and Physiology, Professor of Medicine, New York University Grossman School of Medicine

CHARMAINE ROYAL (Cochair), Robert O. Keohane Professor of African & African American Studies, Biology, Global Health, and Family Medicine & Community Health; Director, Center on Genomics, Race, Identity, Difference and Center for Truth, Racial Healing & Transformation, Duke University

KATRINA ARMSTRONG, Executive Vice President, Health and Biomedical Sciences; Dean of the Vagelos College of Physicians and Surgeons and the Faculties of Health Sciences; Harold and Margaret Hatch Professor of the University; Columbia University

MICHAEL BAMSHAD, Professor and Chief, Division of Genetic Medicine, Department of Pediatrics; Allan and Phyllis Treuer Endowed Chair, Genetics and Development, University of Washington and Seattle Children’s Hospital

LUISA N. BORRELL, Distinguished Professor, Department of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, City University of New York

KATRINA CLAW, Assistant Professor, Department of Biomedical Informatics, School of Medicine; Faculty, Colorado Center for Personalized Medicine, University of Colorado Denver–Anschutz Medical Campus

CLARENCE C. GRAVLEE, Associate Professor, Department of Anthropology, University of Florida

MARK D. HAYWARD, Professor of Sociology; Centennial Commission Professor in Liberal Arts; Faculty Research Associate, Population Research Center, University of Texas at Austin

RICK KITTLES, Senior Vice President for Research; Professor of Community Health and Preventive Medicine, Morehouse School of Medicine

SANDRA SOO-JIN LEE, Professor of Medical Humanities & Ethics; Chief of the Division of Ethics, Department of Medical Humanities & Ethics, Vagelos College of Physicians & Surgeons, Columbia University

___________________

1 See Appendix F, Disclosure of Unavoidable Conflict of Interest.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

ANDRÉS MORENO-ESTRADA, Professor, Advanced Genomics Unit, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV), Mexico

ANN MORNING, James Weldon Johnson Professor of Sociology, New York University

JOHN P. NOVEMBRE, Professor, Department of Human Genetics, Department of Ecology & Evolution, University of Chicago

MOLLY PRZEWORSKI, Professor, Department of Biological Sciences, Department of Systems Biology, Columbia University

DOROTHY E. ROBERTS, George A. Weiss University Professor of Law & Sociology; Raymond Pace & Sadie Tanner Mossell Alexander Professor of Civil Rights; Professor of Africana Studies; Director, Penn Program on Race, Science & Society, University of Pennsylvania

SARAH A. TISHKOFF, David and Lyn Silfen University Professor, Departments of Genetics and Biology; Director, Center for Global Genomics & Health Equity, University of Pennsylvania

GENEVIEVE L. WOJCIK, Assistant Professor of Epidemiology, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health

Study Staff

SARAH H. BEACHY, Study Director

SAMANTHA N. SCHUMM, Associate Program Officer

LEAH CAIRNS, Study Codirector (until October 2022)

KATHRYN ASALONE, Associate Program Officer

MEREDITH HACKMANN, Associate Program Officer

LYDIA TEFERRA, Research Assistant

APARNA CHERAN, Senior Program Assistant (from June 2022)

MICHAEL K. ZIERLER, Science Writer

ANDREW M. POPE, Senior Director, Board on Health and Sciences Policy (until July 2022)

CLARE STROUD, Senior Director, Board on Health and Sciences Policy (from July 2022)

MALAY K. MAJMUNDAR, Director, Committee on Population

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

Reviewers

This Consensus Study Report was reviewed in draft form by individuals chosen for their diverse perspectives and technical expertise. The purpose of this independent review is to provide candid and critical comments that will assist the National Academies of Sciences, Engineering, and Medicine in making each published report as sound as possible and to ensure that it meets the institutional standards for quality, objectivity, evidence, and responsiveness to the study charge. The review comments and draft manuscript remain confidential to protect the integrity of the deliberative process.

We thank the following individuals for their review of this report:

WENDY CHUNG, Columbia University

DANA A. GLEI, Georgetown University

EVELYNN M. HAMMONDS, Harvard University

CHANITA HUGHES-HALBERT, University of Southern California

BENJAMIN NEALE, Harvard Medical School

NEIL R. POWE, University of California, San Francisco

ERICA RAMOS, Genome Medical

ALIYA SAPERSTEIN, Stanford University

THE REVEREND ROBERT JEMONDE TAYLOR, Duke Cancer Institute Community Advisory Council

SHARON F. TERRY, Genetic Alliance

HONGYU ZHAO, Yale University

Page viii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

Although the reviewers listed above provided many constructive comments and suggestions, they were not asked to endorse the conclusions or recommendations of this report nor did they see the final draft before its release. The review of this report was overseen by SUSAN J. CURRY of the University of Iowa and LINDA C. DEGUTIS of the Yale School of Public Health. They were responsible for making certain that an independent examination of this report was carried out in accordance with the standards of the National Academies and that all review comments were carefully considered. Responsibility for the final content rests entirely with the authoring committee and the National Academies.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

Acknowledgments

The study committee and project staff acknowledge that the National Academies of Sciences, Engineering, and Medicine is physically housed on the traditional land of the Nacotchtank (Anacostan) and Piscataway Peoples, past and present. The committee and staff honor with gratitude the land itself and the people who have stewarded it throughout the generations. They honor and respect the enduring relationship that exists between these peoples and nations and this land. The committee and staff thank these peoples for their resilience in protecting this land and aspire to uphold our responsibilities to their example. The committee and staff also acknowledge the countless number of people who have participated, both willingly and unwillingly, in biomedical research, as well as those who have raised the issues addressed in this study for many years.

The study committee and project staff would like to thank the study sponsor—the 14 institutes, program, and offices of the National Institutes of Health—for their leadership on this issue and for their vision and commitment to developing and supporting this project. The committee and staff express their gratitude to the many experts who shared their diverse perspectives and advice with the committee throughout the process and during the public sessions. The committee is grateful for the staff within the Health and Medicine Division who provided support and guidance for the project, along with their collaborators in the Division of Behavioral and Social Sciences and Education.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

This page intentionally left blank.

Page xiii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

This page intentionally left blank.

Page xvii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

Preface

Human genetics studies that assess the contributions of genes to phenotypes can be conducted either using relatives or groups of distantly related individuals (“unrelated” in a colloquial sense). In both instances, geneticists search for a pattern of genetic (sequence or allelic) variation that can distinguish between different forms of a phenotype, say, individuals with sickle cell anemia from those with sickle cell trait, based on the known rules of Mendelian genetic transmission. Although the expected similarity or dissimilarity of closely related individuals largely depends on gene transmission rules, that between more distantly related individuals mostly depends on their remote ancestral histories, such as where, when, and how their common ancestors arose. This information is partially captured by affiliation of an individual to a population; however, how a population should be defined for any specific question in genetics research is less clear. Nevertheless, for any human genetics research, now extended to entire genomes, it is critical to clearly describe who is selected for a study, why, and how. Researchers also need to specify the criteria used to describe participants, including the use of population descriptors. Unfortunately, genetics studies have not named individuals consistently or in a principled manner, often reflexively using race and ethnicity without great thought or justification. Though seldom studied, measures of the environments associated with study individuals and groups are also germane to our understanding of genetic traits and disorders and need to be included.

In recent years, genetic information has become far more accessible. The number of human genetics and genomics studies is rapidly increasing, and many such studies are led by investigators who were not primarily

Page xviii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

trained in human genetics. While this study focuses mainly on knowledge from human genetics and genomics, we acknowledge that knowledge from many other sources (oral, archaeological, traditional, community, etc.) serves to inform our identities, history, relationships to other humans, and our traits and diseases. It is time for us to reshape how genetics studies are conceptualized, conducted, and interpreted.

This commissioned study describes an effort to clarify the scientific rationales for describing research participants and their group labels. We start with a historical view of how we got to our current state, then proceed to examine how else we could achieve our scientific aims, and follow with our recommendations and suggested implementations to improve genetic and genomic science. Our overarching goal is to motivate researchers to consider when population descriptors are necessary, which ones are appropriate for a specific type of genetics study design, whether multiple descriptors are necessary, and what additional information is needed for genetic dissection of phenotypes. Accordingly, this report is divided into two sections; the first is “Past and Current Use of Population Descriptors,” and the second section is “Recommendations.”

Aravinda Chakravarti and Charmaine Royal,
Cochairs, Committee on the Use of Race, Ethnicity, and
Ancestry as Population Descriptors in Genomics Research

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

Abbreviations

1000G 1000 Genomes Project; the international 1000 genomes sequence variation project
AAA American Anthropological Association
AAPA American Association of Physical Anthropologists
AFR African “superpopulation”
AMA American Medical Association
APA American Psychological Association
APOE4 apolipoprotein E gene
BBJ BioBank Japan
BIPMed Brazilian Initiative on Precision Medicine
CDC Centers for Disease Control and Prevention
CDE common data element
CEPH northern and western European ancestry in Utah
CEU northern European in Utah
CKB China Kadoorie Biobank
CONSORT Consolidated Standards of Reporting Trials
COREQ COnsolidated criteria for REporting Qualitative research
COVID-19 coronavirus disease 2019
DNA deoxyribonucleic acid
EUR European “superpopulation”
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
FAPESP Research Innovation and Dissemination Centers funded by the São Paulo Research Foundation
GBR British in England and Scotland
GIH Gujaratis sampled in Houston
gnomAD Genome Aggregation Database
GWAS genome-wide association study
HAALSI Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa
HAAO 3-hydroxyanthranilate 3,4-dioxygenase
HapMap International Haplotype Map Project
HGP Human Genome Project
HIV human immunodeficiency virus
HLA human leukocyte antigen
HMD Health and Medicine Division
INDEPTH International Network for the Demographic Evaluation of Populations and Their Health
JAMA Journal of the American Medical Association
KBP Korean Biobank Project
KYNU kynureninase
LD linkage disequilibrium
MeSH Medical Subject Headings
mRNA messenger RNA
MXB Mexican Biobank
NAD nicotinamide adenine dinucleotide
NHGRI National Human Genome Research Institute
NHLBI National Heart, Lung, and Blood Institute
NIH National Institutes of Health
NIMHD National Institute on Minority Health and Health Disparities
NYU New York University
OMB Office of Management and Budget
PCA principal component analysis
PCORI Patient-Centered Outcomes Research Institute
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
PCSK9 proprotein convertase subtilisin/kexin type 9
PEL Peruvian in Lima, Peru
PERSIAN Prospective Epidemiological Research Studies in Iran
PGS polygenic score
PKU phenylketonuria
PRISMA Preferred Reporting Items for Systematic Review and Meta-Analysis
PUR Puerto Rican in Puerto Rico
QBB Qatar Biobank
RNA ribonucleic acid
SALL4 spalt like transcription factor 4
TOPMed Trans-Omics for Precision Medicine
TSI Tuscans of Italy
UCLA University of California, Los Angeles
UK United Kingdom
UKB United Kingdom Biobank
UMAP uniform manifold approximation and projection
UN United Nations
U.S. United States
WHO World Health Organization
YRI Yoruba in Ibadan, Nigeria
Page xxii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×

This page intentionally left blank.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R1
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R2
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R3
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R4
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R5
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R6
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R7
Page viii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R8
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R9
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R10
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R11
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R12
Page xiii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R13
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R14
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R15
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R16
Page xvii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R17
Page xviii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R18
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R19
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R20
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R21
Page xxii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
×
Page R22
Next: Summary »
Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field Get This Book
×
 Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field
Buy Paperback | $25.00 Buy Ebook | $20.99
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

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.

READ FREE ONLINE

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu's online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    Switch between the Original Pages, where you can read the report as it appeared in print, and Text Pages for the web version, where you can highlight and search the text.

    « Back Next »
  6. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  7. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  8. ×

    View our suggested citation for this chapter.

    « Back Next »
  9. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!