Evidence map›Paper›PMID 28335623›Full record

ArticleThe American journal of psychiatry2017

Genetic Heterogeneity in Depressive Symptoms Following the Death of a Spouse: Polygenic Score Analysis of the U.S. Health and Retirement Study.

Benjamin W Domingue, Hexuan Liu, Aysu Okbay, Daniel W Belsky

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
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  17. Genome-wide analyses of psychological resilience in U.S. Army soldiers.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2019
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  18. Article
  19. Geographic Clustering of Polygenic Scores at Different Stages of the Life Course.The Russell Sage Foundation journal of the social sciences : RSF · 2018
    Article
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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

4 authors at 1 institution in 1 country.

Benjamin W DomingueFrom the Stanford University Graduate School of Education, Stanford, Calif.; the School of Criminal Justice at the University of Cincinnati, Cincinnati; the Department of Complex Trait Genetics, Vrije Universiteit, Center for Neurogenomics and Cognitive Research, Amsterdam, the Netherlands; the Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands; and the Duke University School of Medicine, Department of Medicine, Division of Geriatrics, Duke University Social Science Research Institute, Duke University Center for the Study of Aging and Human Development, Durham, N.C.
Hexuan LiuFrom the Stanford University Graduate School of Education, Stanford, Calif.; the School of Criminal Justice at the University of Cincinnati, Cincinnati; the Department of Complex Trait Genetics, Vrije Universiteit, Center for Neurogenomics and Cognitive Research, Amsterdam, the Netherlands; the Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands; and the Duke University School of Medicine, Department of Medicine, Division of Geriatrics, Duke University Social Science Research Institute, Duke University Center for the Study of Aging and Human Development, Durham, N.C.
Aysu OkbayFrom the Stanford University Graduate School of Education, Stanford, Calif.; the School of Criminal Justice at the University of Cincinnati, Cincinnati; the Department of Complex Trait Genetics, Vrije Universiteit, Center for Neurogenomics and Cognitive Research, Amsterdam, the Netherlands; the Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands; and the Duke University School of Medicine, Department of Medicine, Division of Geriatrics, Duke University Social Science Research Institute, Duke University Center for the Study of Aging and Human Development, Durham, N.C.
Daniel W BelskyFrom the Stanford University Graduate School of Education, Stanford, Calif.; the School of Criminal Justice at the University of Cincinnati, Cincinnati; the Department of Complex Trait Genetics, Vrije Universiteit, Center for Neurogenomics and Cognitive Research, Amsterdam, the Netherlands; the Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands; and the Duke University School of Medicine, Department of Medicine, Division of Geriatrics, Duke University Social Science Research Institute, Duke University Center for the Study of Aging and Human Development, Durham, N.C.
Cognitive Research (United States) · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI CATHLEEN S COLON-EMERIC · 2006 to 2026
$24.6M
STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI Tyson Brown · 2009 to 2026
$12.2M
Is mental disorder a preventable cause of age-related disease? The Dunedin Study.R01AG032282 · NIA · DUKE UNIVERSITY · PI CASPI, AVSHALOM, MOFFITT, TERRIE E · 2009 to 2025
$9.5M
Creating a National Resource for Genetic Research in Behavioral & Health SciencesRC2AG036495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2009 to 2010
$7.4M
Expanding a National Resource for Genetic Research in Behavioral & Health ScienceRC4AG039029 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2010 to 2010
$6.0M
The University of Colorado Population CenterR24HD066613 · NICHD · UNIVERSITY OF COLORADO · PI PAMPEL, FRED C · 2010 to 2014
$1.9M
European Research Council 647648NIA NIH HHS P30 AG028716NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG032282NIA NIH HHS RC2 AG036495NIA NIH HHS RC4 AG039029NIA NIH HHS U01 AG009740NICHD NIH HHS R24 HD066613
6 · The paper itself

Abstract

objectiveExperience of stressful life events is associated with risk of depression. Yet many exposed individuals do not become depressed. A controversial hypothesis is that genetic factors influence vulnerability to depression following stress. This hypothesis is often tested with a "diathesis-stress" model, in which genes confer excess vulnerability. The authors tested an alternative formulation of this model: genes may buffer against depressogenic effects of life stress.

methodThe hypothesized genetic buffer was measured using a polygenic score derived from a published genome-wide association study of subjective well-being. The authors tested whether married older adults who had higher polygenic scores were less vulnerable to depressive symptoms following the death of their spouse compared with age-matched peers who had also lost their spouse and who had lower polygenic scores. Data were analyzed from 8,588 non-Hispanic white adults in the Health and Retirement Study (HRS), a population-representative longitudinal study of older adults in the United States.

resultsHRS adults with higher well-being polygenic scores experienced fewer depressive symptoms during follow-up. Those who survived the death of their spouses (N=1,647) experienced a sharp increase in depressive symptoms following the death and returned toward baseline over the following 2 years. Having a higher well-being polygenic score buffered against increased depressive symptoms following a spouse's death.

conclusionsThe effects were small, and the clinical relevance is uncertain, although polygenic score analyses may provide clues to behavioral pathways that can serve as therapeutic targets. Future studies of gene-environment interplay in depression may benefit from focus on genetics discovered for putative protective factors.

Indexed as

BereavementGenetic HeterogeneityMental HealthSpousesAgedAged, 80 and overDepressionDepressive DisorderFemaleHumansLongitudinal StudiesMaleMiddle AgedNonlinear DynamicsPolymorphism, GeneticPolymorphism, Single NucleotideBereavementDepressionEpidemiologyGeneticsGeriatric Psychiatry

Identifiers

PMID28335623
PMCPMC5610918
OpenAlexW2952924551

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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.