Evidence map›Paper›PMID 35659933›Full record

ArticleAmerican journal of human genetics2022

Is there a way to reduce the inequity in variant interpretation on the basis of ancestry?

Paul S Appelbaum, Wylie Burke, Erik Parens, David A Zeevi, Laura Arbour, Nanibaa' A Garrison, Vence L Bonham, Wendy K Chung

Abstract read
In one paragraph

Article in American journal of human genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

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  14. Considerations for reporting variants in novel candidate genes identified during clinical genomic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
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  18. Genomic medicine for the 21Annals of the Royal College of Surgeons of England · 2024
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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

8 authors.

Paul S AppelbaumDepartment of Psychiatry, Columbia University Irving Medical Center, and New York State Psychiatric Institute, New York, NY 10032, USA. Electronic address: psa21@columbia.edu.
Wylie BurkeDepartment of Bioethics and Humanities, University of Washington, Seattle, WA 98195, USA.
Erik ParensThe Hastings Center, Garrison, NY 10524, USA.
David A ZeeviDor Yeshorim, The Committee for the Prevention of Jewish Genetic Diseases, Jerusalem, Israel.
Laura ArbourDepartment of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; Division of Medical Sciences, University of Victoria, Victoria, BC V8P 5C2, Canada; BC Children's Hospital Research Institute, Victoria, BC V8P 5C2, Canada.
Nanibaa' A GarrisonInstitute for Society and Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Institute for Precision Health, University of California Los Angeles, Los Angeles, CA 90095; Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, CA 9009, USA5.
Vence L BonhamSocial and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Wendy K ChungDepartment of Pediatrics, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA.

Funding

Understanding the Relationships between Race, Ethnicity, Ancestry and GenomicsZIAHG200324 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BONHAM, VENCE L · 2009 to 2025
$3.5M
Development of recommendations and policies for genetic variant reclassificationR01HG010365 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI APPELBAUM, PAUL STUART, CHUNG, WENDY K · 2018 to 2021
$2.9M
Examining the Equitable Integration of Genomics in Health Care and SocietyZIAHG200403 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BONHAM, VENCE L · 2019 to 2025
$1.3M
Intramural NIH HHS ZIA HG200403NHGRI NIH HHS R01 HG010365
6 · The paper itself

Abstract

The underrepresentation of non-European ancestry groups in current genomic databases complicates interpretation of their genetic test results, yielding a much higher prevalence of variants of uncertain significance (VUSs). Such VUS findings can frustrate the goals of genetic testing, create anxiety in patients, and lead to unnecessary medical interventions. Approaches to addressing underrepresentation of people with genetic ancestries other than European are being undertaken by broad-based recruitment efforts. However, some underrepresented groups have concerns that might preclude participation in such efforts. We describe here two initiatives aimed at meeting the needs of underrepresented ancestry groups in genomic datasets. The two communities, the Sephardi Jewish community in New York and First Peoples of Canada, have very different concerns about contributing to genomic research and datasets. Sephardi concerns focus on the possible negative effects of genetic findings on the marriage prospects of family members. Canadian Indigenous populations seek control over the research uses to which their genetic data would be put. Both cases involve targeted efforts to respond to the groups' concerns; these efforts include governance models aimed at ensuring that the data are used primarily to inform clinical test analyses and at achieving successful engagement and participation of community members. We suggest that these initiatives could provide models for other ancestral groups seeking to improve the accuracy and utility of clinical genetic testing while respecting the underlying preferences and values of community members with regard to the use of their genetic data.

Indexed as

EthnicityGenetic TestingCanadaFamilyGenomicsHumans

Identifiers

PMID35659933
PMCPMC9247826

What OpenQuestion holds

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Registered trials

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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.