Evidence map›Paper›PMID 31204010›Full record

ArticleAmerican journal of human genetics2019

Genes for Good: Engaging the Public in Genetics Research via Social Media.

Katharine Brieger, Gregory J M Zajac, Anita Pandit, Johanna R Foerster, Kevin W Li, Aubrey C Annis, Ellen M Schmidt, Chris P Clark, Karly McMorrow, Wei Zhou and 13 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of human genetics, 2019. 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 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Public engagement with genomics.Wellcome open research · 2023
    Review
  7. A survey of direct-to-consumer genotype data, and quality control tool (Computational and structural biotechnology journal · 2021
    Article
  8. Article
  9. Article
  10. Review
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Katharine BriegerDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Gregory J M ZajacDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Anita PanditDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: anitapan@umich.edu.
Johanna R FoersterDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Kevin W LiDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Aubrey C AnnisDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Ellen M SchmidtDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; Wellcome Sanger Institute, Hinxton CB10 1SA, UK.
Chris P ClarkDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Karly McMorrowDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Wei ZhouDepartment of Computational Medicine and Bioinformatics, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.
Jingjing YangDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA.
Alan M KwongDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Andrew P BoughtonDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Jinxi WuSchool of Information, University of Michigan, Ann Arbor, MI 48109, USA.
Chris SchellerDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Tanvi ParikhInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO 80309, USA.
Alejandro de la VegaInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO 80309, USA.
David M BrazelInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO 80309, USA; Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO 80309, USA.
Maia FrieserInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO 80309, USA; Department of Psychology, University of Colorado Boulder, Boulder, CO 80309, USA.
Gianna Rea-SandinDepartment of Psychology, Arizona State University, Tempe, AZ 85281, USA.
Lars G FritscheDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Scott I VriezeDepartment of Psychology, University of Minnesota, Minneapolis, MN 55455, USA.
Gonçalo R AbecasisDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: goncalo@umich.edu.

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
NHGRI NIH HHS T32 HG000040
6 · The paper itself

Abstract

The Genes for Good study uses social media to engage a large, diverse participant pool in genetics research and education. Health history and daily tracking surveys are administered through a Facebook application, and participants who complete a minimum number of surveys are mailed a saliva sample kit ("spit kit") to collect DNA for genotyping. As of March 2019, we engaged >80,000 individuals, sent spit kits to >32,000 individuals who met minimum participation requirements, and collected >27,000 spit kits. Participants come from all 50 states and include a diversity of ancestral backgrounds. Rates of important chronic health indicators are consistent with those estimated for the general U.S. population using more traditional study designs. However, our sample is younger and contains a greater percentage of females than the general population. As one means of verifying data quality, we have replicated genome-wide association studies (GWASs) for exemplar traits, such as asthma, diabetes, body mass index (BMI), and pigmentation. The flexible framework of the web application makes it relatively simple to add new questionnaires and for other researchers to collaborate. We anticipate that the study sample will continue to grow and that future analyses may further capitalize on the strengths of the longitudinal data in combination with genetic information.

Indexed as

Genetic MarkersGenome-Wide Association StudyPolymorphism, Single NucleotideResearch DesignSocial MediaAdolescentAdultDiabetes MellitusFemaleGenesHumansHypertensionMaleMiddle AgedPublic HealthSurveys and QuestionnairesGenetic Markersasthmabody mass indexcomplex traitsdiabetesdirect to participant researchgenome-wide association studygenotyping arrayparticipant engagementpopulation studysocial media

Identifiers

PMID31204010
PMCPMC6612519

What OpenQuestion holds

Textmetadata
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.