Evidence map›Paper›PMID 29486404›Full record

ArticleJournal of psychiatric research2018

Genome-wide scan of depressive symptomatology in two representative cohorts in the United States and the United Kingdom.

Krisztina Mekli, Drystan F Phillips, Thalida E Arpawong, Bram Vanhoutte, Gindo Tampubolon, James Y Nazroo, Jinkook Lee, Carol A Prescott, Adam Stevens, Neil Pendleton

Open access · greenAbstract read
In one paragraph

Article in Journal of psychiatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Pathogenic Single Nucleotide Polymorphisms on Autophagy-Related Genes.International journal of molecular sciences · 2020
    Review
  4. 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

10 authors at 2 institutions in 3 countries.

Krisztina MekliCathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom. Electronic address: Krisztina.Mekli@manchester.ac.uk.
Drystan F PhillipsDornsife Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA; RAND Corporation, Santa Monica, CA, USA. Electronic address: drystanp@usc.edu.
Thalida E ArpawongDepartment of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA. Electronic address: arpawong@usc.edu.
Bram VanhoutteCathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom. Electronic address: bram.vanhoutte@manchester.ac.uk.
Gindo TampubolonInstitute for Social Change, The University of Manchester, Manchester, United Kingdom. Electronic address: gindo.tampubolon@manchester.ac.uk.
James Y NazrooCathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom. Electronic address: james.nazroo@manchester.ac.uk.
Jinkook LeeDornsife Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA; RAND Corporation, Santa Monica, CA, USA. Electronic address: jinkookl@usc.edu.
Carol A PrescottDepartment of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA; Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA. Electronic address: cprescot@usc.edu.
Adam StevensDivision of Developmental Biology and Medicine, The University of Manchester, Manchester, United Kingdom. Electronic address: adam.stevens@manchester.ac.uk.
Neil PendletonDivision of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, United Kingdom. Electronic address: neil.pendleton@manchester.ac.uk.
University of Manchester · GBUniversity of Southern California · US

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Etiology of Emotional Resilience in Older Adults: Stress, Genes, and BehaviorsF32AG048681 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARPAWONG, THALIDA EM · 2014 to 2016
$158k
Medical Research Council G1001375NIA NIH HHS F32 AG048681NIA NIH HHS R01 AG030153
6 · The paper itself

Abstract

Unlike the diagnosed Major Depressive Disorder, depressive symptomatology in the general population has received less attention in genome-wide association scan (GWAS) studies. Here we report a GWAS study on depressive symptomatology using a discovery-replication design and the following approaches: To improve the robustness of the phenotypic measure, we used longitudinal data and calculated mean scores for at least 3 observations for each individual. To maximize replicability, we used nearly identical genotyping platforms and identically constructed phenotypic measures in both the Discovery and Replication samples. We report one genome-wide significant hit; rs58682566 in the EPG5 gene was associated (p = 3.25E-08) with the mean of the depression symptom in the Discovery sample, without confirmation in the Replication sample. We also report 4 hits exceeding the genome-wide suggestive significance level with nominal replications. Rs11774887, rs4147527 and rs1379328, close to the SAMD12 gene, were associated with the mean depression symptom score (P-values in Discovery sample: 4.58E-06, 7.65E-06 and 7.66E-06; Replication sample: 0.049, 0.029 and 0.030, respectively). Rs13250896, located in an intergenic region, was associated with the mean score of the three somatic items of the depression symptoms score (p = 3.31E-07 and 0.042 for the Discovery and Replication samples). These results were not supported by evidence in the literature. We conclude that despite the strengths of our approach, using robust phenotypic measures and samples that maximize replicability potential, this study does not provide compelling evidence of a single genetic variant's significant role in depressive symptomatology.

Indexed as

AgingGenome-Wide Association StudyAgedDepressionFemaleHumansLongitudinal StudiesMaleMiddle AgedUnited KingdomUnited StatesAgeingDepressive symptomatologyGeneticsGenome-wide association

Identifiers

PMID29486404
PMCPMC6882010
OpenAlexW2785393880

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.