Evidence map›Paper›PMID 35058155›Full record

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

Self-rated family health history knowledge among All of Us program participants.

Leland E Hull, Pradeep Natarajan

Abstract 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 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Low income and health literacy: a systematic scoping review.Archives of public health = Archives belges de sante publique · 2025
    Pooled it
  2. Article
  3. Article
  4. Knowledge, Perceptions, and Barriers to Collection of Family Health History Data.Journal of the American Board of Family Medicine : JABFM · 2026
    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

2 authors.

Leland E HullDivision of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA; Department of Medicine, Harvard Medical School, Boston, MA. Electronic address: lhull@mgh.harvard.edu.
Pradeep NatarajanDepartment of Medicine, Harvard Medical School, Boston, MA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA; Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA. Electronic address: pnatarajan@mgh.harvard.edu.

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
NHLBI NIH HHS R01 HL127564NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itself

Abstract

purposeDisparities in access to genetics services are well-documented. Family health history is routinely used to determine whether patients should be screened for heritable conditions. We sought to explore variation in levels of self-rated family health history knowledge as a possible contributer to this disparity.

methodsWe performed a cross-sectional analysis of survey data from the All of Us Research Program. We compared the characteristics of participants who reported "None," "Some", and "A lot" of family health history knowledge using multinomial logistic regression.

resultsSelf-rated family health history data were available for 116,799 participants. A minority of survey participants (37%) endorsed "A lot" of knowledge about their family health history (n = 43,661). Most participants (60%) endorsed "Some" family health history knowledge (n = 69,914) and 3% (n = 3224) endorsed "None." In adjusted analyses, those who indicated "Some" family health history knowledge or "None" were more likely to be assigned male sex at birth, identify as possible gender and sexual minorities, have a self-reported race other than White, have a lower household annual income (<$25,000), or report lower educational attainment (<high school graduate) than those who endorsed "A lot" of knowledge and the reference groups.

conclusionFamily health history knowledge may be limited, especially among traditionally underserved populations.

Indexed as

Population HealthAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMedical History TakingMiddle AgedMinority GroupsSelf ReportYoung AdultAll of Us Research ProgramCross-sectional analysisFamily health historyHealthcare disparitiesSurvey research

Identifiers

PMID35058155
PMCPMC8995381

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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.