Polygenic Architecture of Human Neuroanatomical Diversity.

Journal: Cerebral cortex (New York, N.Y. : 1991)

Volume: 30

Issue: 4

Year of Publication: 2021

Affiliated Institutions:  Human Genetics and Cognitive Functions Unit, Institut Pasteur, UMR , CNRS, Université Paris Diderot, Paris , France. Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, HA B, Canada. Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, EH JZ, UK. The Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, , Germany. Division of Cerebral Integration, National Institute for Physiological Sciences, Okazaki, -, Japan. Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, , Germany. Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, -, Japan. Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, -, Japan. Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, , Germany. Institute for Community Medicine, University Medicine Greifswald, Greifswald, , Germany. DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, , Germany. Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, -, Japan.

Abstract summary 

We analyzed the genomic architecture of neuroanatomical diversity using magnetic resonance imaging and single nucleotide polymorphism (SNP) data from >26 000 individuals from the UK Biobank project and 5 other projects that had previously participated in the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium. Our results confirm the polygenic architecture of neuroanatomical diversity, with SNPs capturing from 40% to 54% of regional brain volume variance. Chromosomal length correlated with the amount of phenotypic variance captured, r ~ 0.64 on average, suggesting that at a global scale causal variants are homogeneously distributed across the genome. At a local scale, SNPs within genes (~51%) captured ~1.5 times more genetic variance than the rest, and SNPs with low minor allele frequency (MAF) captured less variance than the rest: the 40% of SNPs with MAF <5% captured Authors & Co-authors:  Biton Anne A Traut Nicolas N Poline Jean-Baptiste JB Aribisala Benjamin S BS Bastin Mark E ME Bülow Robin R Cox Simon R SR Deary Ian J IJ Fukunaga Masaki M Grabe Hans J HJ Hagenaars Saskia S Hashimoto Ryota R Kikuchi Masataka M Muñoz Maniega Susana S Nauck Matthias M Royle Natalie A NA Teumer Alexander A Valdés Hernández Maria M Völker Uwe U Wardlaw Joanna M JM Wittfeld Katharina K Yamamori Hidenaga H Bourgeron Thomas T Toro Roberto R

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Alfaro-Almagro F, Jenkinson M, Bangerter NK, Andersson JLR, Griffanti L, Douaud G, Sotiropoulos SN, Jbabdi S, Hernandez-Fernandez M, Vallee E et al. . 2018. Image processing and quality control for the first 10,000 brain imaging datasets from UK biobank. Neuroimage. 166(Feb):400–424. doi: 10.1016/j.neuroimage.2017.10.034.
Authors :  25
Identifiers
Doi : 10.1093/cercor/bhz241
SSN : 1460-2199
Study Population
Male,Female
Mesh Terms
Brain
Other Terms
genetics;heritability;neuroimaging;polygenic architecture;subcortical structures
Study Design
Cross Sectional Study
Study Approach
Country of Study
Publication Country
United States