Evidence map›Paper›PMID 29666432›Full record

ArticleTranslational psychiatry2018

Genetic validation of bipolar disorder identified by automated phenotyping using electronic health records.

Chia-Yen Chen, Phil H Lee, Victor M Castro, Jessica Minnier, Alexander W Charney, Eli A Stahl, Douglas M Ruderfer, Shawn N Murphy, Vivian Gainer, Tianxi Cai and 7 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  7. Observational
  8. Article
  9. Review
  10. The Role of Genetics in Bipolar Disorder.Current topics in behavioral neurosciences · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

17 authors at 11 institutions in 3 countries.

Chia-Yen ChenPsychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge St., Boston, MA, 02114, USA.
Phil H LeePsychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge St., Boston, MA, 02114, USA.
Victor M CastroPsychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge St., Boston, MA, 02114, USA.ORCID http://orcid.org/0000-0001-7390-6354
Jessica MinnierOregon Health & Sciences University, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA.
Alexander W CharneyDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Eli A StahlDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Douglas M RuderferDivision of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, 37212, USA.
Shawn N MurphyPartners Research Information Systems and Computing, Partners HealthCare System, One Constitution Center, Charlestown, MA, 02129, USA.
Vivian GainerPartners Research Information Systems and Computing, Partners HealthCare System, One Constitution Center, Charlestown, MA, 02129, USA.
Tianxi CaiDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Ian JonesNational Centre for Mental Health, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK.
Carlos N PatoSUNY Downstate Medical Center, Brooklyn, NY, 11203, USA.
Michele T PatoSUNY Downstate Medical Center, Brooklyn, NY, 11203, USA.
Mikael LandénDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Pamela SklarDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Roy H PerlisPsychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge St., Boston, MA, 02114, USA.
Jordan W SmollerPsychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge St., Boston, MA, 02114, USA. jsmoller@mgh.harvard.edu.
Broad Institute · USAllen Institute for Brain Science · USHarvard University · USMassachusetts General Hospital · USSUNY Downstate Health Sciences University · USCentre for Mental Health · GBIcahn School of Medicine at Mount Sinai · USKarolinska Institutet · SEMass General Brigham · USOregon Health & Science University · USVanderbilt University Medical Center · US

Funding

Genomic Psychiatry CohortR01MH085548 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PATO, CARLOS N, PATO, MICHELE T · 2008 to 2012
$16.3M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
International Cohort Collection for Bipolar DisorderR01MH085542 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SMOLLER, JORDAN W · 2008 to 2012
$10.7M
Research and Mentoring on Integrating Psychiatric Genetics and NeuroscienceK24MH094614 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SMOLLER, JORDAN W · 2012 to 2016
$925k
Neuroimaging genetics to study social cognitive deficits in ASD and schizophreniaR00MH101367 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, PHIL H. · 2017 to 2019
$747k
2/3-Genetic Analysis of the International Cohort Collection for Bipolar DisorderR01MH106527 · NIMH · BROAD INSTITUTE, INC. · PI MCCARROLL, STEVEN ANDREW · 2015 to 2017
$543k
Medical Research Council MR/L010305/1NHGRI NIH HHS U01 HG008685NIMH NIH HHS K24 MH094614NIMH NIH HHS R00 MH101367NIMH NIH HHS R01 MH085542NIMH NIH HHS R01 MH085548NIMH NIH HHS R01 MH106527
6 · The paper itself

Abstract

Bipolar disorder (BD) is a heritable mood disorder characterized by episodes of mania and depression. Although genomewide association studies (GWAS) have successfully identified genetic loci contributing to BD risk, sample size has become a rate-limiting obstacle to genetic discovery. Electronic health records (EHRs) represent a vast but relatively untapped resource for high-throughput phenotyping. As part of the International Cohort Collection for Bipolar Disorder (ICCBD), we previously validated automated EHR-based phenotyping algorithms for BD against in-person diagnostic interviews (Castro et al. Am J Psychiatry 172:363-372, 2015). Here, we establish the genetic validity of these phenotypes by determining their genetic correlation with traditionally ascertained samples. Case and control algorithms were derived from structured and narrative text in the Partners Healthcare system comprising more than 4.6 million patients over 20 years. Genomewide genotype data for 3330 BD cases and 3952 controls of European ancestry were used to estimate SNP-based heritability (h

Indexed as

Electronic Health RecordsPhenotypeAlgorithmsBipolar DisorderCohort StudiesGenetic Predisposition to DiseaseHumansMedical Records Systems, ComputerizedPolymorphism, Single NucleotideWhite People

Identifiers

PMID29666432
PMCPMC5904248
OpenAlexW2759607688

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.