Accueil/ expose
Genomic analysis of 1.5 million people reveals genes associated with substance use, antisocial behavior, and health
mardi 22 septembre 2020

Loading the player...
Descriptif

Conférence de Paige Harden (professeur de psychologie à l'Université du Texas) dans le cadre du Colloquium du département d'Etudes Cognitives de l'ENS.

Behaviors and disorders related to problems in self-regulation, such as substance use disorders, childhood behavior problems, and adult antisocial behavior are collectively referred to as Externalizing. In this talk, I will describe research that pooled information on multiple forms of externalizing behavior in ~1.5 million people and identified more than 500 genetic loci associated with a general liability to Externalizing. The genetic risk score created from these genome-wide association results explained substantial variation in substance use/disorder, psychiatric illness, suicide, criminal convictions, and socioeconomic outcomes. Further, the genetic risk score predicts a broad array of medical outcomes related to behavioral self-regulation, including HIV infection, type 2 diabetes and obesity, cirrhosis of liver, and lung cancer. Our findings provide insight into the genetic underpinnings of self-regulation and its wide-ranging consequences. They illustrate that there is no distinct line between the genetic study of biomedical conditions and the genetic study of social and behavioral traits, and demonstrate that moving beyond traditional disease classification categories can drastically advance gene discovery.

Revoir le débat organisé le lundi 9 novembre 2020 sur ce sujet à l'ENS-PSL : Génétique et comportement : les enjeux scientifiques

 

 

Voir aussi


  • Aucun exposé du même auteur.
  • Base neurale de la mémoire spatiale : Po...
    Alain Berthoz
  • Interprétations spontanées, inférences p...
    Emmanuel Sander
  • Cognitive, developmental and cultural ba...
    Atsushi Senju
  • The origin of prosociality : a comparati...
    Nicolas Claidière
  • (Dis)organizational principles for neuro...
    Miguel Maravall Rodriguez
  • From speech to language in infancy
    Alejandrina Cristia
  • The Neural Marketplace
    Kenneth Harris
  • Why the Internet won't get you any more ...
    Robin Dunbar
  • Synergies in Language Acquisition
    Mark Johnson
  • The neuroeconomics of simple choice
    Antonio Rangel
  • Phonological Effects on the Acquisition ...
    Katherine Demuth
  • Inner speech in action : EMG data durin...
    Hélène Loevenbruck
  • Use of phonetic detail in word learning
    Paola Escudero
  • What is special about eye contact ?
    Laurence Conty
  • The inference theory of discourse refere...
    Amit Almor
  • Syntactic computations, the cartography ...
    Luigi Rizzi
  • Levels of communication and lexical sema...
    Peter Gärdenfors
  • Amygdalar mechanisms for innate, learne...
    Daniel Salzman
  • Explanation and Inference
    Igor Douven
  • Consciousness, Action, PAM !
    Thor Grunbaum
  • Principles of Neural Design
    Peter Sterling
  • Precursors to valuation
    Timothy Behrens
  • Is machine learning a good model of huma...
    Yann LeCun
  • Following and leading social gaze
    Andrew Bayliss
  • It’s the neuron: how the brain really wo...
    Charles Randy Gallistel
  • Biological Information: Genetic, epigene...
    Paul Griffiths
  • From necessity to sufficiency in memory ...
    Karim Benchenane
  • Comparing the difficulty of different ty...
    LouAnn Gerken
  • A big data approach towards functional b...
    Bertrand Thirion
  • Sign language and language emergence
    Marie Coppola
  • The collaborative making of an encyclope...
    Dario Taraborelli
  • The Evolution of Punishment
    Nichola Raihani
  • Metacontrol of reinforcement learning
    Sam Gershman
  • Homo Cyberneticus: Neurocognitive consid...
    Tamar Makin
  • Reverse Engineering Visual Intelligence
    Jim DiCarlo
  • What is listening effort?
    Ingrid Johnsrude
  • The Language of Life: exploring the orig...
    Catherine Hobaiter
  • Deliberate ignorance: The curious choic...
    Ralph Hertwig
  • The social brain in adolescence
    Sarah-Jayne Blakemore
  • Big data about small people: Studying ch...
    Michael Frank
  • Individual Differences in Lifespan Cogni...
    Stuart Richie
  • Why are humans still smarter than machin...
    James L. (Jay) McClelland
  • Contextual effects, image statistics, an...
    Odelia Schwartz
  • Problem solving in acellular slime mold...
    Audrey Dussutour
  • Redrawing the lines between language an...
    Neil Cohn
  • Choice and value : the biology of decisi...
    Alex Kacelnik
  • What happened to the 'mental' in 'menta...
    Joseph LeDoux
  • Rethinking sex and the brain: Beyond th...
    Daphna Joel
  • How robust are meta-analyses to publicat...
    Maya Mathur
  • How family background affects children’...
    Sophie Von Stumm
Auteur(s)
Paige Harden
University of Texas
Psychologue et généticienne du comportement

Plus sur cet auteur
Voir la fiche de l'auteur

Cursus :

Kathryn Paige Harden est une psychologue et généticienne du comportement américaine. Elle est professeure de psychologie à l'Université du Texas à Austin, où elle est également responsable du laboratoire de génétique du comportement développemental et codirectrice du Texas Twin Project.

Cliquer ICI pour fermer
Annexes
Téléchargements :
   - Télécharger la vidéo

Dernière mise à jour : 26/11/2020