Evidence map›Paper›PMID 20800221›Full record

SynthesisBiological psychiatry2010

Genome-wide association scan of trait depression.

Antonio Terracciano, Toshiko Tanaka, Angelina R Sutin, Serena Sanna, Barbara Deiana, Sandra Lai, Manuela Uda, David Schlessinger, Gonçalo R Abecasis, Luigi Ferrucci and 1 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Biological psychiatry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 9 pooled it
13.7field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 9 syntheses or guidelines pooled it, 152 citations in OpenAlex.

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  6. Genetics of serum BDNF: meta-analysis of the Val66Met and genome-wide association study.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2013
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  17. Thalamocortical mGlu8 Modulates Dorsal Thalamus Excitatory Transmission and Sensorimotor Activity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  19. RareHeliyon · 2024
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26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Antonio TerraccianoNational Institute on Aging, National Institutes of Health, Department of Health and Human Services, Baltimore, Maryland 21224, USA. Terraccianoa@mail.nih.gov
Toshiko Tanaka
Angelina R Sutin
Serena Sanna
Barbara Deiana
Sandra Lai
Manuela Uda
David Schlessinger
Gonçalo R Abecasis
Luigi Ferrucci
Paul T Costa
Institute of Genetic and Biomedical Research · ITNational Institute on Aging · USMedStar Health · USNational Institutes of Health · USUniversity of Michigan–Ann Arbor · US

Funding

The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
THE BALTIMORE LONGITUDINAL STUDY OF HUMAN AGINGZ01AG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 1985 to 2008
$11.4M
Aging-related Traits and Disease Risk Factors in a Sardinian Population CohortZIAAG000675 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2021
$5.7M
The Aging Genome Association Study "AGE-GAIN"ZIAAG000965 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$4.0M
Basic Research in Personality: Molecular Genetics of PersonalityZIAAG000196 · NIA · NATIONAL INSTITUTE ON AGING · PI RESNICK, SUSAN · 2009 to 2012
$973k
Aging-related Traits and Disease Risk Factors in a Sardinian Population CohortZ01AG000675 · NIA · NATIONAL INSTITUTE ON AGING · PI SCHLESSINGER, DAVID · 2007 to 2008
$751k
Stress, Coping And Personality In Aging Men And WomenZIAAG000180 · NIA · NATIONAL INSTITUTE ON AGING · PI RESNICK, SUSAN · 2009 to 2012
$617k
Psychosocial Predictors of Mental and Physical Health: PsychopathologyZIAAG000197 · NIA · NATIONAL INSTITUTE ON AGING · PI RESNICK, SUSAN · 2009 to 2010
$334k
Intramural NIH HHS Z01 AG000015Intramural NIH HHS Z01 AG000675Intramural NIH HHS Z99 AG999999Intramural NIH HHS ZIA AG000180Intramural NIH HHS ZIA AG000196Intramural NIH HHS ZIA AG000197Intramural NIH HHS ZIA AG000675
6 · The paper itself

Abstract

backgroundIndependent of temporal circumstances, some individuals have greater susceptibility to depressive affects, such as feelings of guilt, sadness, hopelessness, and loneliness. Identifying the genetic variants that contribute to these individual differences can point to biological pathways etiologically involved in psychiatric disorders.

methodsGenome-wide association scans for the depression scale of the Revised NEO Personality Inventory in community-based samples from a genetically homogeneous area of Sardinia, Italy (n = 3972) and from the Baltimore Longitudinal Study of Aging in the United States (n = 839).

resultsMeta-analytic results for genotyped or imputed single nucleotide polymorphisms indicate that the strongest association signals for trait depression were found in RORA (rs12912233; p = 6 × 10⁻⁷), a gene involved in circadian rhythm. A plausible biological association was also found with single nucleotide polymorphisms within GRM8 (rs17864092; p = 5 × 10⁻⁶), a metabotropic receptor for glutamate, a major excitatory neurotransmitter in the central nervous system.

conclusionsThese findings suggest shared genetic basis underlying the continuum from personality traits to psychopathology.

Indexed as

AdolescentAdultAgedAged, 80 and overBaltimoreDepressionFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansItalyMaleMiddle AgedPolymorphism, Single Nucleotide

Identifiers

PMID20800221
PMCPMC2955852
OpenAlexW2057828422

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.