Evidence map›Paper›PMID 31814797›Full record

ArticleNew genetics and society2019

Consumer (dis-)interest in Genetic Ancestry Testing: The roles of race, immigration, and ancestral certainty.

Adam L Horowitz, Aliya Saperstein, Jasmine Little, Martin Maiers, Jill A Hollenbach

Abstract read
In one paragraph

Article in New genetics and society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Impacts of personal DNA ancestry testing.Journal of community genetics · 2021
    Article
  8. Article
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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

5 authors.

Adam L HorowitzThe Edmond J. Safra Center for Ethics, Tel Aviv University.ORCID 0000-0002-3224-9383
Aliya SapersteinDepartment of Sociology, Stanford University.
Jasmine LittleDepartment of Sociology, Stanford University.
Martin MaiersBioinformatics Research Department, National Marrow Donor Program.
Jill A HollenbachDepartment of Neurology, University of California, San Francisco.

Funding

Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic DataR01AI128775 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JILL Allison HOLLENBACH, STEVEN JOHN MACK · 2017 to 2026
$4.5M
Mapping the Intersection: Self-identification and Genetic AncestryR21HG008041 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLLENBACH, JILL ALLISON · 2014 to 2015
$437k
NHGRI NIH HHS R21 HG008041NIAID NIH HHS R01 AI128775
6 · The paper itself

Abstract

Genetic ancestry testing (GAT) is marketed as a way to make up for missing knowledge about one's ancestry. Previous research questions the GAT industry's ability to fulfill this promise in terms of the validity and reliability of test results. We instead explore the demand side of GAT, evaluating who is most and least likely to express interest in GAT. Using data from an original, nationwide survey of over 100,000 American adults, we find that GAT interest is related to both self-identified race and immigrant generation, with Asian Americans and first-generation immigrants expressing the least interest. Our quantitative and qualitative evidence suggests interest is further shaped by a pre-existing sense of ancestral certainty, leading some individuals to decline GAT, even if it were free. How interest and ancestral certainty are patterned has implications for who is included in - and thus for the conclusions that can be drawn from - genetic ancestry databases.

Indexed as

Consumer GenomicsImmigration and AssimilationRace

Identifiers

PMID31814797
PMCPMC6897494

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.