Evidence map›Paper›PMID 22761283›Full record

ArticleBMJ open2012

Multigene interactions and the prediction of depression in the Wisconsin Longitudinal Study.

Nicholas S Roetker, James A Yonker, Chee Lee, Vicky Chang, Jacob J Basson, Carol L Roan, Taissa S Hauser, Robert M Hauser, Craig S Atwood

Abstract read
In one paragraph

Article in BMJ open, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Genetic Contributions of Inflammation to Depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017
    Pooled it
  3. Trial
  4. The Role of GCH1 Deficiency and Tetrahydrobiopterin in Mental Health.International journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Role of Interleukin-6 in Depressive Disorder.International journal of molecular sciences · 2020
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Classification and regression trees for epidemiologic research: an air pollution example.Environmental health : a global access science source · 2014
    Article
  18. Article
  19. 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

9 authors.

Nicholas S RoetkerDepartment of Sociology, University of Wisconsin, Madison, Wisconsin, USA.
James A Yonker
Chee Lee
Vicky Chang
Jacob J Basson
Carol L Roan
Taissa S Hauser
Robert M Hauser
Craig S Atwood

Funding

WISCONSIN LONGITUDINAL STUDY--SIBLING INTERVIEWS (1)R01AG009775 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI HERD, PAMELA · 1991 to 2012
$23.4M
WORK, HEALTH, AND WELL-BEINGP01AG021079 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI PALLONI, ALBERTO B. · 2002 to 2011
$14.2M
Aging Together: Brothers and Sisters of the Wisconsin Longitudinal StudyR01AG033285 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI HERD, PAMELA, WARREN, JOHN ROBERT · 2009 to 2013
$11.8M
NIA NIH HHS P01 AG021079NIA NIH HHS R01 AG009775NIA NIH HHS R01 AG033285
6 · The paper itself

Abstract

objectivesSingle genetic loci offer little predictive power for the identification of depression. This study examined whether an analysis of gene-gene (G × G) interactions of 78 single nucleotide polymorphisms (SNPs) in genes associated with depression and age-related diseases would identify significant interactions with increased predictive power for depression.

designA retrospective cohort study.

settingA survey of participants in the Wisconsin Longitudinal Study.

participantsA total of 4811 persons (2464 women and 2347 men) who provided saliva for genotyping; the group comes from a randomly selected sample of Wisconsin high school graduates from the class of 1957 as well as a randomly selected sibling, almost all of whom are non-Hispanic white. PRIMARY OUTCOME MEASURE: Depression as determine by the Composite International Diagnostic Interview-Short-Form.

resultsUsing a classification tree approach (recursive partitioning (RP)), the authors identified a number of candidate G × G interactions associated with depression. The primary SNP splits revealed by RP (ANKK1 rs1800497 (also known as DRD2 Taq1A) in men and DRD2 rs224592 in women) were found to be significant as single factors by logistic regression (LR) after controlling for multiple testing (p=0.001 for both). Without considering interaction effects, only one of the five subsequent RP splits reached nominal significance in LR (FTO rs1421085 in women, p=0.008). However, after controlling for G × G interactions by running LR on RP-specific subsets, every split became significant and grew larger in magnitude (OR (before) → (after): men: GNRH1 novel SNP: (1.43 → 1.57); women: APOC3 rs2854116: (1.28 → 1.55), ACVR2B rs3749386: (1.11 → 2.17), FTO rs1421085: (1.32 → 1.65), IL6 rs1800795: (1.12 → 1.85)).

conclusionsThe results suggest that examining G × G interactions improves the identification of genetic associations predictive of depression. 4 of the SNPs identified in these interactions were located in two pathways well known to impact depression: neurotransmitter (ANKK1 and DRD2) and neuroendocrine (GNRH1 and ACVR2B) signalling. This study demonstrates the utility of RP analysis as an efficient and powerful exploratory analysis technique for uncovering genetic and molecular pathway interactions associated with disease aetiology.

Identifiers

PMID22761283
PMCPMC3391375

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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.