Evidence map›Paper›PMID 31172187›Full record

ArticleAmerican journal of epidemiology2019

Family History-Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic Diseases.

Danielle Rasooly, John P A Ioannidis, Muin J Khoury, Chirag J Patel

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07266636 (Comparative Effect of Photobiomodulation and Electrical Stimulation on Facial Disability Among Bell's Palsy Patients), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 20% 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.

NCT07266636 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Comparative Effect of Photobiomodulation and Electrical Stimulation on Facial Disability Among Bell's Palsy Patients

TypeinterventionalSponsorLahore University of Biological and Applied SciencesRan2025 to 2026Enrolled34ConditionsBell's PalsyArmsPhotobiomodulation alongwith facial exercise, Electrical Stimulation alongwith facial exercise
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Chronic illness experience in the context of resource-limited settings: a concept analysis.International journal of qualitative studies on health and well-being · 2024
    Review
  7. Article
  8. Factors Associated with Health-Related Quality of Life among Government Employees in Putrajaya, Malaysia.International journal of environmental research and public health · 2021
    Article
  9. Article
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

4 authors at 3 institutions in 1 country.

Danielle RasoolyDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
John P A IoannidisMeta-Research Innovation Center at Stanford.
Muin J KhouryOffice of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia.
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Harvard University · USCenters for Disease Control and Prevention · USInnovative Research (United States) · US

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Big Data Analysis of HIV Risk and Epidemiology in Sub-Saharan AfricaR01AI127250 · NIAID · STANFORD UNIVERSITY · PI BENDAVID, ERAN, PATEL, CHIRAG J. · 2017 to 2020
$2.7M
Data-driven identification of environmental factors in cardiovascular diseaseR00ES023504 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2016 to 2018
$728k
Increasing the power of GxE detection by using multi-locus genome-wide predictorsR21ES025052 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2015 to 2017
$434k
NHGRI NIH HHS T32 HG002295NIAID NIH HHS R01 AI127250NIEHS NIH HHS R00 ES023504NIEHS NIH HHS R21 ES025052
6 · The paper itself

Abstract

Family history is a strong risk factor for many common chronic diseases and summarizes shared environmental and genetic risk, but how this increased risk is mediated is unknown. We developed a "family history-wide association study" (FamWAS) to systematically and comprehensively test clinical and environmental quantitative traits (CEQTs) for their association with family history of disease. We implemented our method on 457 CEQTs for association with family history of diabetes, asthma, and coronary heart disease (CHD) in 42,940 adults spanning 8 waves of the 1999-2014 US National Health and Nutrition Examination Survey. We conducted pooled analyses of the 8 survey waves and analyzed trait associations using survey-weighted logistic regression. We identified 172 (37.6% of total), 32 (7.0%), and 78 (17.1%) CEQTs associated with family history of diabetes, asthma, and CHD, respectively, in subcohorts of individuals without the respective disease. Twenty associated CEQTs were shared across family history of diabetes, asthma, and CHD, far more than expected by chance. FamWAS can examine traits not previously studied in association with family history and uncover trait overlap, highlighting a putative shared mechanism by which family history influences disease risk.

Indexed as

Genetic Predisposition to DiseaseAdultAsthmaChronic DiseaseCoronary DiseaseCross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedNutrition SurveysPhenotypeRisk FactorsUnited Stateschronic diseasefamily historyfamily history–wide association studyNHANES

Identifiers

PMID31172187
PMCPMC6670049
OpenAlexW2955263915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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.