Evidence map›Paper›PMID 30219690›Full record

ArticleJournal of affective disorders2019

GWAS and systems biology analysis of depressive symptoms among smokers from the COPDGene cohort.

Jonathan T Heinzman, Karin F Hoth, Michael H Cho, Phuwanat Sakornsakolpat, Elizabeth A Regan, Barry J Make, Gregory L Kinney, Frederick S Wamboldt, Kristen E Holm, Nicholas Bormann and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of affective disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  4. Genomic Loci Influencing Cue-Reactivity in Heterogeneous Stock Rats.bioRxiv : the preprint server for biology · 2024
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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

19 authors at 7 institutions in 1 country.

Jonathan T HeinzmanDepartment of Psychiatry, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Karin F HothDepartment of Psychiatry, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Michael H ChoChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Phuwanat SakornsakolpatChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Elizabeth A ReganDepartment of Medicine, National Jewish Health, Denver, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA.
Barry J MakeDepartment of Medicine, National Jewish Health, Denver, CO, USA.
Gregory L KinneyDepartment of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA.
Frederick S WamboldtDepartment of Medicine, National Jewish Health, Denver, CO, USA; Department of Psychiatry, University of Colorado School of Medicine at the Anschutz Medical Campus, Aurora, CO, USA.
Kristen E HolmDepartment of Medicine, National Jewish Health, Denver, CO, USA.
Nicholas BormannDepartment of Psychiatry, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Julian RoblesDepartment of Psychiatry, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Victor KimDepartment of Thoracic Medicine and Surgery, Temple University School of Medicine, Philadelphia, PA, USA.
Anand S IyerDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; Lung Health Center, University of Alabama at Birmingham, Birmingham, AL, USA; Health Services, Outcomes, and Effectiveness Research Training Program, University of Alabama at Birmingham, Birmingham, AL, USA.
Edwin K SilvermanChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.
James D CrapoDepartment of Medicine, National Jewish Health, Denver, CO, USA.
Shizhong HanDepartment of Psychiatry, University of Iowa Hospitals and Clinics, Iowa City, IA, USA; Department of Psychiatry, Johns Hopkins University, Baltimore, MD, USA.
James B PotashDepartment of Psychiatry, University of Iowa Hospitals and Clinics, Iowa City, IA, USA; Department of Psychiatry, Johns Hopkins University, Baltimore, MD, USA.
Gen ShinozakiDepartment of Psychiatry, University of Iowa Hospitals and Clinics, Iowa City, IA, USA. Electronic address: gen-shinozaki@uiowa.edu.
COPDGene Investigators
University of Iowa Hospitals and Clinics · USNational Jewish Health · USBrigham and Women's Hospital · USColorado School of Public Health · USJohns Hopkins University · USTemple University · USUniversity of Alabama at Birmingham · US

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Metabolomic signatures of empysema and COPD progression in the COPDGene cohortR01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2012 to 2016
$31.1M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
(2 of 2) Genetic Epidemiology of COPDR01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2012 to 2016
$18.9M
SHORT-TERM TRAINING: STUDENTS IN HEALTH PROF. SCHOOLST35HL007485 · NHLBI · UNIVERSITY OF IOWA · PI ROGHAIR, ROBERT D · 1985 to 2019
$4.3M
NHLBI NIH HHS R01 HL089856NHLBI NIH HHS R01 HL089897NHLBI NIH HHS T35 HL007485NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

backgroundLarge sample GWAS is needed to identify genetic factors associated with depression. This study used genome-wide genotypic and phenotypic data from the COPDGene study to identify genetic risk factors for depression.

methodsData were from 9716 COPDGene subjects with ≥10 pack-year history. Depression was defined as antidepressant use and/or a HADS depression subscale score ≥8. Non-Hispanic White (6576) and African-American (3140) subsets were analyzed. A GWAS pipeline identified SNPs associated with depression in each group. Network analysis software analyzed gene interactions through common biological pathways, genetic interactions, and tissue-specific gene expression.

resultsThe mean age was 59.4 years (SD 9.0) with 46.5% female subjects. Depression was in 24.7% of the NHW group (1622) and 12.5% of the AA group (391). No SNPs had genome-wide significance. One of the top SNPs, rs12036147 (p = 1.28 × 10 LIMITATIONS: Limitations included a depression definition based on antidepressant use and a limited HADS score subgroup, which could increase false negatives in depressed patients not on antidepressants. Antidepressants used for smoking cessation in non-depressed patients could lead to false positives.

conclusionsSystems biology analysis identified statistically significant pathways whereby multiple genes influence depression. The gene set pathway analysis and COPDGene data can help investigate depression in future studies.

Indexed as

AgedAntidepressive AgentsBlack or African AmericanCohort StudiesDepressionFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideRisk FactorsSmokingSystems BiologyAntidepressive AgentsChronic obstructive pulmonary diseaseGenome-wide association studyMajor depressive disorderSmokersSystems biology

Identifiers

PMID30219690
PMCPMC6186181
OpenAlexW2892159464

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.