Evidence map›Paper›PMID 36136089›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2022

Awareness and use of genetic testing: An analysis of the Health Information National Trends Survey 2020.

Jessica C Tiner, Leah E Mechanic, Lisa Gallicchio, Elizabeth M Gillanders, Kathy J Helzlsouer

Open access · hybridAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% of its field
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, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  7. Not Forgotten: Patient Experiences with Genetic Variant Reclassifications.medRxiv : the preprint server for health sciences · 2026
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  8. Neighborhood Opportunity and Genetic Literacy in a Representative Sample of US Adults.Prevention science : the official journal of the Society for Prevention Research · 2026
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  13. Distributional Cost-Effectiveness Analysis in Genomic Medicine: Considerations for Addressing Health Equity.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2025
    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 at 1 institution in 1 country.

Jessica C TinerEpidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Leah E MechanicEpidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD. Electronic address: mechanil@mail.nih.gov.
Lisa GallicchioEpidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Elizabeth M GillandersEpidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Kathy J HelzlsouerEpidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD.
National Institutes of Health · US

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

purposeGenetic testing is a tool used in a variety of settings for medical and nonhealth related purposes. The goal of this analysis was to better understand the awareness and use of genetic testing in the United States.

methodsData from the 2020 Health Information National Trends Survey 5 cycle 4 were used to assess the awareness and use of genetic testing by demographic characteristics, personal cancer history, and family cancer history.

resultsOverall, 75% of participants were aware of genetic testing and 19% of participants had genetic testing. Ancestry testing was the most common type of testing that the participants were aware of and had received. Non-Hispanic Asian, Non-Hispanic Black, and Hispanic respondents and participants with incomes less than $20,000 were less likely to be aware of and have received any type of genetic testing than the Non-Hispanic White participants and participants with higher income, respectively. Participants with a family history of cancer were more likely to be aware of cancer genetic testing than those without, and participants with a personal history of cancer were more likely to have had cancer genetic testing.

conclusionIt appears awareness of genetic testing is increasing in the United States, and differences in awareness persist by race/ethnicity and income.

Indexed as

Hispanic or LatinoNeoplasmsBlack or African AmericanBlack PeopleEthnicityGenetic TestingHumansSurveys and QuestionnairesUnited StatesAncestryAwarenessCancerGenetic testing

Identifiers

PMID36136089
PMCPMC9746668
OpenAlexW4296654188

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.