Evidence map›Paper›PMID 34400812›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2021

The persistent lack of knowledge and misunderstanding of the Genetic Information Nondiscrimination Act (GINA) more than a decade after passage.

Andrea Lenartz, Aaron M Scherer, Wendy R Uhlmann, Sonia M Suter, Colleen Anderson Hartley, Anya E R Prince

Erratum issuedAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

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  17. The effect of genetic education on the referral of patients to genetic evaluation: Findings from a national survey of nephrologists.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Andrea LenartzUniversity of Iowa College of Public Health, Iowa City, IA, USA.
Aaron M SchererDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Wendy R UhlmannDepartment of Internal Medicine, Division of Genetic Medicine, Department of Human Genetics & the Center for Bioethics and Social Sciences in Medicine, University of Michigan School of Medicine, Ann Arbor, MI, USA.
Sonia M SuterThe George Washington University Law School, Washington, DC, USA.
Colleen Anderson HartleyUniversity of Iowa College of Law, Iowa City, IA, USA.
Anya E R PrinceUniversity of Iowa College of Law, Iowa City, IA, USA. anya-prince@uiowa.edu.

Funding

Use of Genetic Information by Life, Long-term Care, and Disability InsurersR00HG008819 · NHGRI · UNIVERSITY OF IOWA · PI PRINCE, ANYA E.R. · 2017 to 2019
$728k
NHGRI NIH HHS R00 HG008819
6 · The paper itself

Abstract

purposeMore than a decade after the Genetic Information Nondiscrimination Act (GINA) was passed, there is a paucity of research on the general public's awareness of GINA. This study's objective was to assess knowledge of GINA and concerns of genetic discrimination.

methodsA quota-based sample of US adults (N = 421) was recruited via Qualtrics Research Services to complete an online survey.

resultsOverall, participants had a mean age of 43.1 (SD = 13.9), 51.8% identified as female, 63.1% identified as non-Hispanic White, and 38.4% had ≥4-year college degree. Respondents reported relatively low subjective knowledge of GINA (M = 3.10, SD = 1.98; 7-point Likert scale). Among respondents reporting high subjective knowledge of GINA (16.2%), 92.6% incorrectly reported or did not know that GINA does not covers life, long-term care, and disability insurance, and this number was 82.4% for auto or property insurance. Respondents were relatively likely to decline genetic testing due to concerns about results being used to determine eligibility for employment (M = 4.68, SD = 1.89) or health insurance (M = 4.94, SD = 1.73). There were few consistent demographic associations with either subjective or objective knowledge of GINA.

conclusionThis study highlights continued public concern about genetic discrimination and a lack of awareness and understanding of GINA and its scope of protections.

Indexed as

Genetic TestingInsurance, HealthAdultFemaleHumansSurveys and Questionnaires

Identifiers

PMID34400812
PMCPMC8633070

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.