Literature DB >> 31008555

Polygenic Influences on Pubertal Timing and Tempo and Depressive Symptoms in Boys and Girls.

Gregor Horvath1, Valerie S Knopik1, Kristine Marceau1.   

Abstract

This study used polygenic scoring (PGS) to test whether puberty-related genes were correlated with depressive symptoms, and whether there were indirect effects through pubertal maturation. The sample included 8,795 adolescents from the Avon Longitudinal Study of Parents and Children (measures of puberty drawn ages 8-17 years; of depressive symptoms at age 16.5 years). The PGS (derived from a genome-wide meta-analysis of later age at menarche) predicted boys' and girls' later pubertal timing, boys' slower gonadal development, and girls' faster breast development. Earlier perceived breast development timing predicted more depressive symptoms in girls. Findings support shared genetic underpinnings for boys' and girls' puberty, contributing to multiple pubertal phenotypes with differences in how these genetic variants affect boys' and girls' development.
© 2019 Society for Research on Adolescence.

Entities:  

Mesh:

Year:  2019        PMID: 31008555      PMCID: PMC6810710          DOI: 10.1111/jora.12502

Source DB:  PubMed          Journal:  J Res Adolesc        ISSN: 1050-8392


  46 in total

1.  Individual differences in puberty onset in girls: Bayesian estimation of heritabilities and genetic correlations.

Authors:  Stéphanie M van den Berg; Adi Setiawan; Meike Bartels; Tinca J C Polderman; Aad W van der Vaart; Dorret I Boomsma
Journal:  Behav Genet       Date:  2006-01-12       Impact factor: 2.805

2.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

3.  Environmental and genetic pathways between early pubertal timing and dieting in adolescence: distinguishing between objective and subjective timing.

Authors:  K P Harden; J Mendle; N Kretsch
Journal:  Psychol Med       Date:  2011-06-16       Impact factor: 7.723

4.  A hospital-based twin register of the heritability of DSM-IV unipolar depression.

Authors:  P McGuffin; R Katz; S Watkins; J Rutherford
Journal:  Arch Gen Psychiatry       Date:  1996-02

5.  Genome partitioning of genetic variation for complex traits using common SNPs.

Authors:  Jian Yang; Teri A Manolio; Louis R Pasquale; Eric Boerwinkle; Neil Caporaso; Julie M Cunningham; Mariza de Andrade; Bjarke Feenstra; Eleanor Feingold; M Geoffrey Hayes; William G Hill; Maria Teresa Landi; Alvaro Alonso; Guillaume Lettre; Peng Lin; Hua Ling; William Lowe; Rasika A Mathias; Mads Melbye; Elizabeth Pugh; Marilyn C Cornelis; Bruce S Weir; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2011-05-08       Impact factor: 38.330

6.  The influence of genetic factors and life stress on depression among adolescent girls.

Authors:  J Silberg; A Pickles; M Rutter; J Hewitt; E Simonoff; H Maes; R Carbonneau; L Murrelle; D Foley; L Eaves
Journal:  Arch Gen Psychiatry       Date:  1999-03

Review 7.  The emergence of gender differences in depression during adolescence.

Authors:  S Nolen-Hoeksema; J S Girgus
Journal:  Psychol Bull       Date:  1994-05       Impact factor: 17.737

8.  Cohort Profile: the Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort.

Authors:  Abigail Fraser; Corrie Macdonald-Wallis; Kate Tilling; Andy Boyd; Jean Golding; George Davey Smith; John Henderson; John Macleod; Lynn Molloy; Andy Ness; Susan Ring; Scott M Nelson; Debbie A Lawlor
Journal:  Int J Epidemiol       Date:  2012-04-16       Impact factor: 7.196

9.  Association between pubertal development and depressive symptoms in girls from a UK cohort.

Authors:  C Joinson; J Heron; R Araya; T Paus; T Croudace; C Rubin; M Marcus; G Lewis
Journal:  Psychol Med       Date:  2012-04-12       Impact factor: 7.723

10.  LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis.

Authors:  Jie Zheng; A Mesut Erzurumluoglu; Benjamin L Elsworth; John P Kemp; Laurence Howe; Philip C Haycock; Gibran Hemani; Katherine Tansey; Charles Laurin; Beate St Pourcain; Nicole M Warrington; Hilary K Finucane; Alkes L Price; Brendan K Bulik-Sullivan; Verneri Anttila; Lavinia Paternoster; Tom R Gaunt; David M Evans; Benjamin M Neale
Journal:  Bioinformatics       Date:  2016-09-22       Impact factor: 6.937

View more
  2 in total

1.  Developmental Cascades from Polygenic and Prenatal Substance Use to Adolescent Substance Use: Leveraging Severity and Directionality of Externalizing and Internalizing Problems to Understand Pubertal and Harsh Discipline-Related Risk.

Authors:  Kristine Marceau; Gregor Horvath; Amy M Loviska; Valerie S Knopik
Journal:  Behav Genet       Date:  2021-07-09       Impact factor: 2.965

2.  Father absence, age at menarche, and genetic confounding: A replication and extension using a polygenic score.

Authors:  Gabriel L Schlomer; Kristine Marceau
Journal:  Dev Psychopathol       Date:  2020-10-27
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.