Evidence map›Paper›PMID 23440463›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2013

Using the high-risk family design to identify biomarkers for major depression.

Ardesheer Talati, Myrna M Weissman, Steven P Hamilton

Open access · bronzeAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Neurobiology and Cognition in Girls at High-Risk of Eating Disorders: Exploring Imaging-Derived Trait Markers.European eating disorders review : the journal of the Eating Disorders Association · 2025
    Article
  4. Article
  5. Dissociating default mode network resting state markers of suicide from familial risk factors for depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
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  14. Review
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  20. Biomarkers in pediatric depression.Depression and anxiety · 2013
    Review
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

3 authors at 3 institutions in 1 country.

Ardesheer TalatiDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA. at2071@columbia.edu
Myrna M Weissman
Steven P Hamilton
New York Psychoanalytic Society and Institute · USNew York State Psychiatric InstituteUniversity of California, San Francisco · US

Funding

Three Generations at High and Low Risk for Depression Followed LongitudinallyR01MH036197 · NIMH · YALE UNIVERSITY · PI POSNER, JONATHAN E, WEISSMAN, MYRNA M · 1985 to 2020
$15.0M
Serotonergic Modulation of Brain Development: Genetic and Pharmacologic InfluencP50MH090966 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI BROWN, ALAN S · 2010 to 2014
$9.6M
Prenatal Smoke Exposure and Offspring Substance Use: An Imaging-Genetics ApproachK01DA029598 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI TALATI, ARDESHEER · 2010 to 2014
$906k
NIDA NIH HHS 1 K01 DA029598-01NIDA NIH HHS K01 DA029598NIMH NIH HHS 1P50MH090966NIMH NIH HHS 2 R01 MH36197NIMH NIH HHS P50 MH090966NIMH NIH HHS R01 MH036197
6 · The paper itself

Abstract

The familial nature of major depressive disorder (MDD) is now well recognized. We followed children and grandchildren of probands with and without MDD to examine transmission of depression over generations, and to identify early vulnerability markers prior to the onset of disease. The study now includes three generations and five completed assessment waves spanning 25 years, with a sixth wave underway. Beginning with the fourth wave, we collected measures of brain structure (magnetic resonance imaging, MRI) and physiology (electroencephalography, EEG) and DNA in order to examine at a biological level why the offspring of depressed parents were at higher risk. In this paper, we provide an overview of the study design, the main findings, including new data, and the role of the high-risk design in translational research. We demonstrate that offspring of depressed parents ('high-risk'), when compared with those of non-depressed parents ('low-risk'), were at increased risk for depressive and anxiety disorders, with anxiety appearing earlier and being a predisposing factor for MDD. Offspring with two generations previously affected were at greatest risk. Thinning of the cortical mantle (MRI) and reduced resting-state activity (EEG) within the right parieto-temporal hemisphere differentiated high- from low-risk offspring, regardless of whether the offspring had MDD, suggesting that these measures might serve as familial trait markers for depression and related syndromes. The high- and low-risk offspring also differed by serotonin transporter promoter length polymorphism genotypes, even though the same genotypes were not associated with the presence of MDD. The high-risk epidemiological design appears to be a particularly valuable asset in translational research as it allows targeting of biological processes that emerge prior to the onset of disease, and identifies individuals at high risk for the disorder who may carry the trait or marker but not yet be affected.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticAdolescentAdultBiomarkersBrainChildChild, PreschoolFemaleGenotypeHumansInfantLongitudinal StudiesMajor Depressive DisorderMalePedigreeBiomarkersSerotonin

Identifiers

PMID23440463
PMCPMC3638382
OpenAlexW2164671850

What OpenQuestion holds

Textmetadata
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.