Showing results (11-20 of 21) with videos related to
Sort By:
Pageof 3
Genes, Brain, and Behavior|March 15, 2022
Genetic and environmental influences on quality of life: The COVID-19 pandemic as a natural experimentMargot P van de Weijer, Dirk H M Pelt, Lianne P de Vries, et al.Medicine and Science in Sports and Exercise|November 15, 2017
Dopaminergic Genetic Variants and Voluntary Externally Paced Exercise BehaviorDenise J VAN DER Mee, Iryna O Fedko, Jouke-Jan Hottenga, et al.European Journal of Human Genetics : EJHG|February 15, 2019
Biological insights into multiple birth: genetic findings from UK BiobankHamdi Mbarek, Margot P van de Weijer, Mathijs D van der Zee, et al.Medicine and Science in Sports and Exercise|March 23, 2022
Genome-wide Association Study of Liking for Several Types of Physical Activity in the UK Biobank and Two Replication CohortsYann C Klimentidis, Michelle Newell, Matthijs D VAN DER Zee, et al.Addiction Biology|February 19, 2021
Associations between the CADM2 gene, substance use, risky sexual behavior, and self-control: A phenome-wide association studyRachel M Arends, Joëlle A Pasman, Karin J H Verweij, et al.Nature Genetics|April 23, 2021
Genetic analyses identify widespread sex-differential participation biasNicola Pirastu, Mattia Cordioli, Priyanka Nandakumar, et al.Human Molecular Genetics|May 6, 2021
Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weightJeffrey J Beck, René Pool, Margot van de Weijer, et al.Nature Neuroscience|June 7, 2019
Author Correction: GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liabilityJoëlle A Pasman, Karin J H Verweij, Zachary Gerring, et al.Nature Neuroscience|August 29, 2018
GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophreniaJoëlle A Pasman, Karin J H Verweij, Zachary Gerring, et al.Nature Genetics|May 9, 2022
Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effectsLaurence J Howe, Michel G Nivard, Tim T Morris, et al.Pageof 3