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

对22,824名成年人的一般人群样本进行皮质结构遗传相关性和全基因组关联分析

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作者：Hofer,Edith,Roshchupkin,Gennady V,Adams,Hieab H H,Knol,Maria J,Lin,Honghuang,Li,Shuo,Zare,Habil,Ahmad,Shahzad,Armstrong,Nicola J,Satizabal,Claudia L,Bernard,Manon,Bis,Joshua C,Gillespie,Nathan A,Luciano,Michelle,Mishra,Aniket,Scholz,Markus,Teumer,Alexander,Xia,Rui,Jian,Xueqiu,Mosley,Thomas H,Saba,Yasaman,Pirpamer,Lukas,Seiler,Stephan,Becker,James T,Carmichael,Owen,Rotter,Jerome I,Psaty,Bruce M,Lopez,Oscar L,Amin,Najaf,van der Lee,Sven J,Yang,Qiong,Himali,Jayandra J,Maillard,Pauline,Beiser,Alexa S,DeCarli,Charles,Karama,Sherif,Lewis,Lindsay,Harris,Mat,Bastin,Mark E,Deary,Ian J,Veronica Witte,A,Beyer,Frauke,Loeffler,Markus,Mather,Karen A,Schofield,Peter R,Thalamuthu,Anbupalam,Kwok,John B,Wright,Margaret J,Ames,David,Trollor,Julian,Jiang,Jiyang,Brodaty,Henry,Wen,Wei,Vernooij,Meike W,Hofman,Albert,Uitterlinden,André G,Niessen,Wiro J,Wittfeld,Katharina,Bülow,Robin,Völker,Uwe,Pausova,Zdenka,Bruce Pike,G,Maingault,Sophie,Crivello,Fabrice,Tzourio,Christophe,Amouyel,Philippe,Mazoyer,Bernard,Neale,Michael C,Franz,Carol E,Lyons,Michael J,Panizzon,Matthew S,Andreassen,Ole A,Dale,Anders M,Logue,Mark,Grasby,Katrina L,Jahanshad,Neda,Painter,Jodie N,Colodro-Conde,Lucía,Bralten,Janita,Hibar,Derrek P,Lind,Penelope A,Pizzagalli,Fabrizio,Stein,Jason L,Thompson,Paul M,Medland,Sarah E,Sachdev,Perminder S,Kremen,William S,Wardlaw,Joanna M,Villringer,Arno,van Duijn,Cornelia M,Grabe,Hans J,Longstreth,William T Jr,Fornage,Myriam,Paus,Tomas,Debette,Stephanie,Ikram,M Arfan,Schmidt,Helena,Schmidt,Reinhold,Seshadri,Sudha
期刊：Nature Communications影响因子：15.700
时间：2020起止号：2020 Sep 22;11(1):4796
doi：10.1038/s41467-020-18367-y

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.

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