Evidence map›Paper›PMID 30767326›Full record

ArticleInternational journal of methods in psychiatric research2019

Genomics of posttraumatic stress disorder in veterans: Methods and rationale for Veterans Affairs Cooperative Study #575B.

Krishnan Radhakrishnan, Mihaela Aslan, Kelly M Harrington, Robert H Pietrzak, Grant Huang, Sumitra Muralidhar, Kelly Cho, Rachel Quaden, David Gagnon, Saiju Pyarajan and 6 more

Erratum issuedAbstract read
In one paragraph

Article in International journal of methods in psychiatric research, 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Krishnan RadhakrishnanClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut, USA.ORCID 0000-0001-9243-7733
Mihaela AslanClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Kelly M HarringtonMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA.
Robert H PietrzakClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Grant HuangOffice of Research and Development, Veterans Health Administration, Washington, DC, USA.
Sumitra MuralidharOffice of Research and Development, Veterans Health Administration, Washington, DC, USA.
Kelly ChoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA.
Rachel QuadenMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA.
David GagnonMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA.
Saiju PyarajanMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA.
Ning SunClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Hongyu ZhaoClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Michael GazianoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA.
John ConcatoClinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Murray B SteinVA San Diego Healthcare System, San Diego, California, USA.
Joel GelernterSchool of Medicine, Yale University, New Haven, Connecticut, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHeritability in the risk for developing posttraumatic stress disorder (PTSD) has been established, but most genome-wide association studies (GWASs) of PTSD involve relatively small sample sizes and limited identification of associated genetic loci. This report describes the methodology of a Veterans Affairs (VA) Cooperative Studies Program GWAS of PTSD among combat-exposed U.S. veterans.

methodsProbable cases (with PTSD) and probable controls (without PTSD) were identified from among veterans enrolled in the VA Million Veteran Program (MVP) with an algorithm developed using questionnaire responses and electronic health record information. This algorithm, based on a statistical model, relied on medical chart reviews as a reference standard and was refined using telephone interviews. Subsequently, to evaluate the impact of probabilistic phenotyping on statistical power, the threshold probability for case-control selection was varied in simulations.

resultsAs of September 2018, >695,000 veterans have enrolled in MVP. For current analyses, genotyping data were available for >353,000 participants, including >83,000 combat-exposed veterans. A threshold probability of 0.7 for case and control designation yielded an interim >16,000 cases and >33,000 controls.

conclusionsA formal methodological approach was used to identify cases and controls for subsequent GWAS analyses to identify genetic risk loci for PTSD.

Indexed as

AdolescentAdultAgedAged, 80 and overAlgorithmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenomicsHumansInterviews as TopicMaleMiddle AgedPolymorphism, Single NucleotidePsychiatric Status Rating ScalesStress Disorders, Post-TraumaticClinician-Administered PTSD Scalecombat-exposed veteransgenomicsmedical record reviewposttraumatic stress disorder (PTSD)

Identifiers

PMID30767326
PMCPMC6877159

What OpenQuestion holds

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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.