Genome-wide association studies of brain imaging phenotypes in UK Biobank

Lloyd T. Elliott, Kevin Sharp, Fidel Alfaro-Almagro, Sinan Shi, Karla L. Miller, Gwenaëlle Douaud, Jonathan Marchini () and Stephen M. Smith ()
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Lloyd T. Elliott: University of Oxford
Kevin Sharp: University of Oxford
Fidel Alfaro-Almagro: University of Oxford
Sinan Shi: University of Oxford
Karla L. Miller: University of Oxford
Gwenaëlle Douaud: University of Oxford
Jonathan Marchini: University of Oxford
Stephen M. Smith: University of Oxford

Nature, 2018, vol. 562, issue 7726, 210-216

Abstract: Abstract The genetic architecture of brain structure and function is largely unknown. To investigate this, we carried out genome-wide association studies of 3,144 functional and structural brain imaging phenotypes from UK Biobank (discovery dataset 8,428 subjects). Here we show that many of these phenotypes are heritable. We identify 148 clusters of associations between single nucleotide polymorphisms and imaging phenotypes that replicate at P

Keywords: Genome-wide Association Studies; Single Nucleotide Polymorphisms (SNPs); Phenome-wide Association Study (PheWAS); Genetic Correlation Analysis; GWAS Results (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (16)

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DOI: 10.1038/s41586-018-0571-7

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