Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults

Authors

Edith Hofer, Medizinische Universität Graz
Gennady V. Roshchupkin, Erasmus MC
Hieab H.H. Adams, Erasmus MC
Maria J. Knol, Erasmus MC
Honghuang Lin, Boston University Chobanian & Avedisian School of Medicine
Shuo Li, School of Public Health
Habil Zare, The University of Texas Health Science Center at San Antonio
Shahzad Ahmad, Erasmus MC
Nicola J. Armstrong, Murdoch University
Claudia L. Satizabal, The University of Texas Health Science Center at San Antonio
Manon Bernard, The Hospital for Sick Children
Joshua C. Bis, University of Washington School of Medicine
Nathan A. Gillespie, Virginia Commonwealth University
Michelle Luciano, The University of Edinburgh
Aniket Mishra, Université de Bordeaux
Markus Scholz, Universität Leipzig
Alexander Teumer, Universitätsmedizin Greifswald
Rui Xia, McGovern Medical School
Xueqiu Jian, McGovern Medical School
Thomas H. Mosley, University of Mississippi School of Medicine
Yasaman Saba, Medizinische Universität Graz
Lukas Pirpamer, Medizinische Universität Graz
Stephan Seiler, UC Davis School of Medicine
James T. Becker, University of Pittsburgh School of Medicine
Owen Carmichael, Pennington Biomedical Research Center
Jerome I. Rotter, Ronald Reagan UCLA Medical Center
Bruce M. Psaty, University of Washington School of Medicine
Oscar L. Lopez, University of Pittsburgh School of Medicine
Najaf Amin, Erasmus MC
Sven J. van der Lee, Erasmus MC
Qiong Yang, School of Public Health
Jayandra J. Himali, School of Public Health
Pauline Maillard, UC Davis School of Medicine
Alexa S. Beiser, School of Public Health

Document Type

Article

Publication Date

12-1-2020

Abstract

Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.

This document is currently not available here.

Share

COinS