Evidence map›Paper›PMID 26334918›Full record

ArticleAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics2016

A powerful phenotype for gene-finding studies derived from trajectory analyses of symptoms of anxiety and depression between age seven and 18.

Gitta H Lubke, Patrick J Miller, Brad Verhulst, Meike Bartels, Toos van Beijsterveldt, Gonneke Willemsen, Dorret I Boomsma, Christel M Middeldorp

Abstract read
In one paragraph

Article in American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 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
–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

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

  1. Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms.Journal of the American Academy of Child and Adolescent Psychiatry · 2022
    Pooled it
  2. Pooled it
  3. Article
  4. Research Review: A review of the past decade of family and genomic studies on adolescent mental health.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Review
  5. Article
  6. Review
  7. Research Review: A guide to computing and implementing polygenic scores in developmental research.Journal of child psychology and psychiatry, and allied disciplines · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

8 authors.

Gitta H LubkeDepartment of Psychology, University of Notre Dame, Notre Dame, Indiana. glubke@nd.edu.
Patrick J MillerDepartment of Psychology, University of Notre Dame, Notre Dame, Indiana.
Brad VerhulstVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia.
Meike BartelsDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands.
Toos van BeijsterveldtDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands.
Gonneke WillemsenDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands.
Dorret I BoomsmaDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands.
Christel M MiddeldorpDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands. c.m.middeldorp@vu.nl.

Funding

Psychometric and Genetic Assessments of Substance UseR37DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2005 to 2014
$3.7M
Research Education in Statistical Genetics of Substance AbuseR25DA026119 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2008 to 2018
$3.2M
Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
European Research Council 230374NIDA NIH HHS R01 DA018673NIDA NIH HHS R25 DA026119NIDA NIH HHS R37 DA018673
6 · The paper itself

Abstract

To investigate the utility of longitudinal data in genetic analyses of symptoms of anxiety and depression, we assessed individual differences between age 7 and 18 using growth mixture models, and investigated the genetic and non-genetic factors contributing to the trajectories. Mothers of 7,706 girl and 7,418 boy twins from the Netherlands Twin Register rated the anxious depression scale (SxAnxDep) of the Child Behavior Check List (CBCL) at age 7, 10, and 12 years. Two thousand seven hundred and six girl and 1,856 boy twins completed the Youth Self Report (YSR) at age 14, 16, and 18. While individual trajectories varied considerably, these differences were largely idiosyncratic and could not be grouped into separate latent classes with class-specific average growth curves. The intercept, which reflects the individuals' baseline level of SxAnxDep across time, explained 55-58% of the total phenotypic variance. The slope factor, which captures a common average trend over time, did not explain variance in the phenotype. This finding also underlines the high level of idiosyncrasy of trajectories that lack a common longitudinal structure. The analyses of twin data showed that the random intercept factor of SxAnxDep during childhood and during adolescence is considerably more heritable than the observations at any single age, namely between 60% and 84%. One explanation is that different factors contribute to the level of symptoms of anxiety and depression at any given time point, including temporary events and emotions. When considering baseline stability, these temporary influences average out, with the result of a more reliable and more heritable phenotype. © 2015 Wiley Periodicals, Inc.

Indexed as

AdolescentAge FactorsAnxietyAnxiety DisordersChildDepressionDepressive DisorderFemaleHumansLongitudinal StudiesMaleMothersNetherlandsPhenotypePsychiatric Status Rating ScalesSelf Reportdepressiongeneticslongitudinal

Identifiers

PMID26334918
PMCPMC4852155

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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.