Evidence map›Paper›PMID 21858135›Full record

ArticlePloS one2011

Efficient replication of over 180 genetic associations with self-reported medical data.

Joyce Y Tung, Chuong B Do, David A Hinds, Amy K Kiefer, J Michael Macpherson, Arnab B Chowdry, Uta Francke, Brian T Naughton, Joanna L Mountain, Anne Wojcicki and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 6 pooled it
7.8field-weighted citation impact, top 2% 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

86 citing papers in PubMed, 6 syntheses or guidelines pooled it, 145 citations in OpenAlex.

  1. Pooled it
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  5. Pooled it
  6. The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
    Pooled it
  7. Trial
  8. Public knowledge of and attitudes toward genetics and genetic testing.Genetic testing and molecular biomarkers · 2013
    Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Overview of Alzheimer's Disease Neuroimaging Initiative and future clinical trials.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  15. Article
  16. Article
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  18. Review
  19. Article
  20. Article

26 more citing papers are in PubMed but not listed here.

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

11 authors at 1 institution in 1 country.

Joyce Y Tung23andMe, Inc., Mountain View, California, United States of America. joyce@23andme.com
Chuong B Do
David A Hinds
Amy K Kiefer
J Michael Macpherson
Arnab B Chowdry
Uta Francke
Brian T Naughton
Joanna L Mountain
Anne Wojcicki
Nicholas Eriksson
23andMe (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the cost and speed of generating genomic data have come down dramatically in recent years, the slow pace of collecting medical data for large cohorts continues to hamper genetic research. Here we evaluate a novel online framework for obtaining large amounts of medical information from a recontactable cohort by assessing our ability to replicate genetic associations using these data. Using web-based questionnaires, we gathered self-reported data on 50 medical phenotypes from a generally unselected cohort of over 20,000 genotyped individuals. Of a list of genetic associations curated by NHGRI, we successfully replicated about 75% of the associations that we expected to (based on the number of cases in our cohort and reported odds ratios, and excluding a set of associations with contradictory published evidence). Altogether we replicated over 180 previously reported associations, including many for type 2 diabetes, prostate cancer, cholesterol levels, and multiple sclerosis. We found significant variation across categories of conditions in the percentage of expected associations that we were able to replicate, which may reflect systematic inflation of the effects in some initial reports, or differences across diseases in the likelihood of misdiagnosis or misreport. We also demonstrated that we could improve replication success by taking advantage of our recontactable cohort, offering more in-depth questions to refine self-reported diagnoses. Our data suggest that online collection of self-reported data from a recontactable cohort may be a viable method for both broad and deep phenotyping in large populations.

Indexed as

Surveys and QuestionnairesAdultAgedCohort StudiesFemaleGenetic Association StudiesGenome, HumanGenome-Wide Association StudyGenotypeHumansLogistic ModelsMaleMiddle AgedOdds RatioPolymorphism, Single NucleotideYoung Adult

Identifiers

PMID21858135
PMCPMC3157390
OpenAlexW2130260471

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.