Evidence map›Paper›PMID 26655122›Full record

ArticleJournal of affective disorders2016

Genome-wide linkage on chromosome 10q26 for a dimensional scale of major depression.

Emma E M Knowles, Jack W Kent, D Reese McKay, Emma Sprooten, Samuel R Mathias, Joanne E Curran, Melanie A Carless, Marcio A A de Almeida, H H Goring Harald, Tom D Dyer and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.0field-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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Common variants on 6q16.2, 12q24.31 and 16p13.3 are associated with major depressive disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
    Pooled it
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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

16 authors at 5 institutions in 1 country.

Emma E M KnowlesDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA. Electronic address: emma.knowles@yale.edu.
Jack W KentDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
D Reese McKayDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA.
Emma SprootenDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA.
Samuel R MathiasDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA.
Joanne E CurranSouth Texas Diabetes and Obesity Institute, University of Texas Health Science Center at San Antonio & University of Texas of the Rio Grande Valley, Brownsville, TX, United States.
Melanie A CarlessDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
Marcio A A de AlmeidaSouth Texas Diabetes and Obesity Institute, University of Texas Health Science Center at San Antonio & University of Texas of the Rio Grande Valley, Brownsville, TX, United States.
H H Goring HaraldSouth Texas Diabetes and Obesity Institute, University of Texas Health Science Center at San Antonio & University of Texas of the Rio Grande Valley, Brownsville, TX, United States.
Tom D DyerSouth Texas Diabetes and Obesity Institute, University of Texas Health Science Center at San Antonio & University of Texas of the Rio Grande Valley, Brownsville, TX, United States.
Rene L OlveraDepartment of Psychiatry, University of Texas Health Science Center San Antonio, Texas Center San Antonio, San Antonio, TX, United States.
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, United States; South Texas Veterans' Healthcare System, 7400 Merton Minter, San Antonio, TX 78229, USA.
Ravi DuggiralaSouth Texas Diabetes and Obesity Institute, University of Texas Health Science Center at San Antonio & University of Texas of the Rio Grande Valley, Brownsville, TX, United States.
Laura AlmasySouth Texas Diabetes and Obesity Institute, University of Texas Health Science Center at San Antonio & University of Texas of the Rio Grande Valley, Brownsville, TX, United States.
John BlangeroSouth Texas Diabetes and Obesity Institute, University of Texas Health Science Center at San Antonio & University of Texas of the Rio Grande Valley, Brownsville, TX, United States.
David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA.
The University of Texas Health Science Center at San Antonio · USThe University of Texas Rio Grande Valley · USYale University · USHartford Hospital · USTexas Biomedical Research Institute · US

Funding

Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NIMH NIH HHS R01 MH059490NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143
6 · The paper itself

Abstract

Major depressive disorder (MDD) is a common and potentially life-threatening mood disorder. Identifying genetic markers for depression might provide reliable indicators of depression risk, which would, in turn, substantially improve detection, enabling earlier and more effective treatment. The aim of this study was to identify rare variants for depression, modeled as a continuous trait, using linkage and post-hoc association analysis. The sample comprised 1221 Mexican-American individuals from extended pedigrees. A single dimensional scale of MDD was derived using confirmatory factor analysis applied to all items from the Past Major Depressive Episode section of the Mini-International Neuropsychiatric Interview. Scores on this scale of depression were subjected to linkage analysis followed by QTL region-specific association analysis. Linkage analysis revealed a single genome-wide significant QTL (LOD=3.43) on 10q26.13, QTL-specific association analysis conducted in the entire sample revealed a suggestive variant within an intron of the gene LHPP (rs11245316, p=7.8×10(-04); LD-adjusted Bonferroni-corrected p=8.6×10(-05)). This region of the genome has previously been implicated in the etiology of MDD; the present study extends our understanding of the involvement of this region by highlighting a putative gene of interest (LHPP).

Indexed as

Chromosomes, Human, Pair 10Genetic LinkageGenetic MarkersFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLod ScoreMajor Depressive DisorderMaleMiddle AgedPhenotypeGenetic Markers

Identifiers

PMID26655122
PMCPMC4715913
OpenAlexW2174346965

What OpenQuestion 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 OpenQuestion graph.