Evidence map›Paper›PMID 32504544›Full record

ArticleAmerican journal of human genetics2020

Clinical Genetics Lacks Standard Definitions and Protocols for the Collection and Use of Diversity Measures.

Alice B Popejoy, Kristy R Crooks, Stephanie M Fullerton, Lucia A Hindorff, Gillian W Hooker, Barbara A Koenig, Natalie Pino, Erin M Ramos, Deborah I Ritter, Hannah Wand and 7 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Alice B PopejoyDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: apopejoy@stanford.edu.
Kristy R CrooksDepartment of Pathology, University of Colorado, Aurora, CO 80045, USA.
Stephanie M FullertonDepartment of Bioethics & Humanities, University of Washington School of Medicine, Seattle, WA 98195, USA.
Lucia A HindorffDivision of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Gillian W HookerConcert Genetics, Nashville, TN 37204, USA.
Barbara A KoenigProgram in Bioethics, University of California San Francisco Laurel Heights, San Francisco, CA 94118, USA.
Natalie PinoDivision of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Erin M RamosDivision of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Deborah I RitterDepartment of Pediatrics, Oncology Section, Baylor College of Medicine, Houston, TX 77030, USA.
Hannah WandDepartment of Pathology, Stanford University, Stanford, CA 94305, USA; Department of Cardiology, Stanford Healthcare, Stanford, CA 94305, USA.
Matt W WrightDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA.
Michael YudellDepartment of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA.
James Y ZouDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA.
Sharon E PlonDepartment of Pediatrics, Oncology Section, Baylor College of Medicine, Houston, TX 77030, USA.
Carlos D BustamanteDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA.
Kelly E OrmondStanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA.
Clinical Genome Resource (ClinGen) Ancestry and Diversity Working Group

Funding

Measuring Perceptions of Utility of Clinical Genome Sequencing: Instrument Testing and ValidationU01HG006485 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI MCGUIRE, AMY L, PARSONS, DONALD W. · 2012 to 2021
$22.1M
Sharing Aggregate Genomics Research Findings with Diverse Participants: A Pilot Study of an Innovative Design StrategyU01HG009599 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KOENIG, BARBARA A., KWOK, PUI-YAN · 2017 to 2021
$16.3M
The Future of PharmGKB Funding Under NHGRIU41HG009649 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL · 2017 to 2020
$13.4M
Evolving Our Partnership: The CSER2 Centralized Support Coordinating CenterU24HG007307 · NHGRI · UNIVERSITY OF WASHINGTON · PI FULLERTON, STEPHANIE MALIA, JARVIK, GAIL PAIRITZ · 2017 to 2021
$5.8M
NHGRI NIH HHS U01 HG006485NHGRI NIH HHS U01 HG009599NHGRI NIH HHS U24 HG007307NHGRI NIH HHS U41 HG009649
6 · The paper itself

Abstract

Genetics researchers and clinical professionals rely on diversity measures such as race, ethnicity, and ancestry (REA) to stratify study participants and patients for a variety of applications in research and precision medicine. However, there are no comprehensive, widely accepted standards or guidelines for collecting and using such data in clinical genetics practice. Two NIH-funded research consortia, the Clinical Genome Resource (ClinGen) and Clinical Sequencing Evidence-generating Research (CSER), have partnered to address this issue and report how REA are currently collected, conceptualized, and used. Surveying clinical genetics professionals and researchers (n = 448), we found heterogeneity in the way REA are perceived, defined, and measured, with variation in the perceived importance of REA in both clinical and research settings. The majority of respondents (>55%) felt that REA are at least somewhat important for clinical variant interpretation, ordering genetic tests, and communicating results to patients. However, there was no consensus on the relevance of REA, including how each of these measures should be used in different scenarios and what information they can convey in the context of human genetics. A lack of common definitions and applications of REA across the precision medicine pipeline may contribute to inconsistencies in data collection, missing or inaccurate classifications, and misleading or inconclusive results. Thus, our findings support the need for standardization and harmonization of REA data collection and use in clinical genetics and precision health research.

Indexed as

AdultChildData CollectionEthnicityFemaleGenetic TestingGenetic VariationGenomicsHumansMalePrecision MedicineProhibitinsSurveys and QuestionnairesProhibitinsancestryClinGenclinical geneticsCSERdiversityethnicityprecision medicineracesurvey

Identifiers

PMID32504544
PMCPMC7332657

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.