The genetic architecture of human brainstem structures and their involvement in common brain disorders

The genetic architecture of human brainstem structures and their involvement in common brain disorders

The genetic architecture underlying brainstem regions and how this links to common brain disorders is not well understood. Here, the authors use MRI and GWAS data from 27,034 individuals to identify genetic and morphological brainstem features that influence common brain disorders.

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Auteurs principaux: Torbjørn Elvsåshagen, Shahram Bahrami, Dennis van der Meer, Ingrid Agartz, Dag Alnæs, Deanna M. Barch, Ramona Baur-Streubel, Alessandro Bertolino, Mona K. Beyer, Giuseppe Blasi, Stefan Borgwardt, Birgitte Boye, Jan Buitelaar, Erlend Bøen, Elisabeth Gulowsen Celius, Simon Cervenka, Annette Conzelmann, David Coynel, Pasquale Di Carlo, Srdjan Djurovic, Sarah Eisenacher, Thomas Espeseth, Helena Fatouros-Bergman, Lena Flyckt, Barbara Franke, Oleksandr Frei, Barbara Gelao, Hanne Flinstad Harbo, Catharina A. Hartman, Asta Håberg, Dirk Heslenfeld, Pieter J. Hoekstra, Einar A. Høgestøl, Rune Jonassen, Erik G. Jönsson, Karolinska Schizophrenia Project (KaSP) consortium, Peter Kirsch, Iwona Kłoszewska, Trine Vik Lagerberg, Nils Inge Landrø, Stephanie Le Hellard, Klaus-Peter Lesch, Luigi A. Maglanoc, Ulrik F. Malt, Patrizia Mecocci, Ingrid Melle, Andreas Meyer-Lindenberg, Torgeir Moberget, Jan Egil Nordvik, Lars Nyberg, Kevin S. O’ Connell, Jaap Oosterlaan, Marco Papalino, Andreas Papassotiropoulos, Paul Pauli, Giulio Pergola, Karin Persson, Dominique de Quervain, Andreas Reif, Jaroslav Rokicki, Daan van Rooij, Alexey A. Shadrin, André Schmidt, Emanuel Schwarz, Geir Selbæk, Hilkka Soininen, Piotr Sowa, Vidar M. Steen, Magda Tsolaki, Bruno Vellas, Lei Wang, Eric Westman, Georg C. Ziegler, Mathias Zink, Ole A. Andreassen, Lars T. Westlye, Tobias Kaufmann
Format: article
Langue:EN
Publié: Nature Portfolio 2020
Sujets:
Science
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Accès en ligne:https://doaj.org/article/bb60787933434b12ab5b236140b403a3
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https://doaj.org/article/bb60787933434b12ab5b236140b403a3

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