Cargando…

No Genetic Influence for Childhood Behavior Problems From DNA Analysis

OBJECTIVE: Twin studies of behavior problems in childhood point to substantial genetic influence. It is now possible to estimate genetic influence using DNA alone in samples of unrelated individuals, not relying on family-based designs such as twins. A linear mixed model, which incorporates DNA micr...

Descripción completa

Detalles Bibliográficos
Autores principales: Trzaskowski, Maciej, Dale, Philip S., Plomin, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914760/
https://www.ncbi.nlm.nih.gov/pubmed/24074471
http://dx.doi.org/10.1016/j.jaac.2013.07.016
_version_ 1782302460669329408
author Trzaskowski, Maciej
Dale, Philip S.
Plomin, Robert
author_facet Trzaskowski, Maciej
Dale, Philip S.
Plomin, Robert
author_sort Trzaskowski, Maciej
collection PubMed
description OBJECTIVE: Twin studies of behavior problems in childhood point to substantial genetic influence. It is now possible to estimate genetic influence using DNA alone in samples of unrelated individuals, not relying on family-based designs such as twins. A linear mixed model, which incorporates DNA microarray data, has confirmed twin results by showing substantial genetic influence for diverse traits in adults. Here we present direct comparisons between twin and DNA heritability estimates for childhood behavior problems as rated by parents, teachers, and children themselves. METHOD: Behavior problem data from 2,500 UK-representative 12-year-old twin pairs were used in twin analyses; DNA analyses were based on 1 member of the twin pair with genotype data for 1.7 million DNA markers. Diverse behavior problems were assessed, including autistic, depressive, and hyperactive symptoms. Genetic influence from DNA was estimated using genome-wide complex trait analysis (GCTA), and the twin estimates of heritability were based on standard twin model fitting. RESULTS: Behavior problems in childhood—whether rated by parents, teachers, or children themselves—show no significant genetic influence using GCTA, even though twin study estimates of heritability are substantial in the same sample, and even though both GCTA and twin study estimates of genetic influence are substantial for cognitive and anthropometric traits. CONCLUSIONS: We suggest that this new type of “missing heritability,” that is, the gap between GCTA and twin study estimates for behavior problems in childhood, is due to nonadditive genetic influence, which will make it more difficult to identify genes responsible for heritability.
format Online
Article
Text
id pubmed-3914760
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-39147602014-02-21 No Genetic Influence for Childhood Behavior Problems From DNA Analysis Trzaskowski, Maciej Dale, Philip S. Plomin, Robert J Am Acad Child Adolesc Psychiatry New Research OBJECTIVE: Twin studies of behavior problems in childhood point to substantial genetic influence. It is now possible to estimate genetic influence using DNA alone in samples of unrelated individuals, not relying on family-based designs such as twins. A linear mixed model, which incorporates DNA microarray data, has confirmed twin results by showing substantial genetic influence for diverse traits in adults. Here we present direct comparisons between twin and DNA heritability estimates for childhood behavior problems as rated by parents, teachers, and children themselves. METHOD: Behavior problem data from 2,500 UK-representative 12-year-old twin pairs were used in twin analyses; DNA analyses were based on 1 member of the twin pair with genotype data for 1.7 million DNA markers. Diverse behavior problems were assessed, including autistic, depressive, and hyperactive symptoms. Genetic influence from DNA was estimated using genome-wide complex trait analysis (GCTA), and the twin estimates of heritability were based on standard twin model fitting. RESULTS: Behavior problems in childhood—whether rated by parents, teachers, or children themselves—show no significant genetic influence using GCTA, even though twin study estimates of heritability are substantial in the same sample, and even though both GCTA and twin study estimates of genetic influence are substantial for cognitive and anthropometric traits. CONCLUSIONS: We suggest that this new type of “missing heritability,” that is, the gap between GCTA and twin study estimates for behavior problems in childhood, is due to nonadditive genetic influence, which will make it more difficult to identify genes responsible for heritability. Elsevier 2013-10 /pmc/articles/PMC3914760/ /pubmed/24074471 http://dx.doi.org/10.1016/j.jaac.2013.07.016 Text en © 2013 American Academy of Child & Adolescent Psychiatry. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle New Research
Trzaskowski, Maciej
Dale, Philip S.
Plomin, Robert
No Genetic Influence for Childhood Behavior Problems From DNA Analysis
title No Genetic Influence for Childhood Behavior Problems From DNA Analysis
title_full No Genetic Influence for Childhood Behavior Problems From DNA Analysis
title_fullStr No Genetic Influence for Childhood Behavior Problems From DNA Analysis
title_full_unstemmed No Genetic Influence for Childhood Behavior Problems From DNA Analysis
title_short No Genetic Influence for Childhood Behavior Problems From DNA Analysis
title_sort no genetic influence for childhood behavior problems from dna analysis
topic New Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914760/
https://www.ncbi.nlm.nih.gov/pubmed/24074471
http://dx.doi.org/10.1016/j.jaac.2013.07.016
work_keys_str_mv AT trzaskowskimaciej nogeneticinfluenceforchildhoodbehaviorproblemsfromdnaanalysis
AT dalephilips nogeneticinfluenceforchildhoodbehaviorproblemsfromdnaanalysis
AT plominrobert nogeneticinfluenceforchildhoodbehaviorproblemsfromdnaanalysis