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Genetics of structural connectivity and information processing in the brain | Brain Structure and Function
Description:
Understanding the genetic factors underlying brain structural connectivity is a major challenge in imaging genetics. Here, we present results from genome-wide association studies (GWASs) of whole-brain white matter (WM) fractional anisotropy (FA), an index of microstructural coherence measured using diffusion tensor imaging. Data from independent GWASs of 355 Swedish and 250 Norwegian healthy adults were integrated by meta-analysis to enhance power. Complementary GWASs on behavioral data reflecting processing speed, which is related to microstructural properties of WM pathways, were performed and integrated with WM FA results via multimodal analysis to identify shared genetic associations. One locus on chromosome 17 (rs145994492) showed genome-wide significant association with WM FA (meta P value = 1.87 × 10−08). Suggestive associations (Meta P value <1 × 10−06) were observed for 12 loci, including one containing ZFPM2 (lowest meta P value = 7.44 × 10−08). This locus was also implicated in multimodal analysis of WM FA and processing speed (lowest Fisher P value = 8.56 × 10−07). ZFPM2 is relevant in specification of corticothalamic neurons during brain development. Analysis of SNPs associated with processing speed revealed association with a locus that included SSPO (lowest meta P value = 4.37 × 10−08), which has been linked to commissural axon growth. An intergenic SNP (rs183854424) 14 kb downstream of CSMD1, which is implicated in schizophrenia, showed suggestive evidence of association in the WM FA meta-analysis (meta P value = 1.43 × 10−07) and the multimodal analysis (Fisher P value = 1 × 10−07). These findings provide novel data on the genetics of WM pathways and processing speed, and highlight a role of ZFPM2 and CSMD1 in information processing in the brain.
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pubmed, article, scholar, google, processing, speed, cas, analysis, gene, brain, genes, association, central, snps, data, genetic, study, matter, white, samples, sample, genomewide, gwas, test, snp, set, top, imaging, significant, meta, zfpm, age, diffusion, metaanalysis, values, betula, information, genetics, performed, suggestive, common, integrity, research, results, implicated, cognitive, significance, aging, table, related,
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/stephenturner/qqman/blob/master/qqman pgc-1alpha-responsive genes involved letter–digit-/digit–symbol substitution tasks linkage-disequilibrium-based binning affects letter–digit-/digit–symbol substitution genome-wide association studies recent genome-wide studies general fluid-type intelligence article download pdf genome-wide significant association single base insertions/deletions /wp-content/uploads/2012/07/enigma2_1kgp_cookbook_v3 conserved microrna mir-8/mir-200 genome-wide association analysis genome-wide association study full access threshold-free cluster-enhancement threshold-free cluster enhancement genome-wide significant threshold tract-based spatial statistics steen & stéphanie le hellard genome-wide significant snp /csg/abecasis/mach/download/ deep-layer neocortical neurons genome-wide suggestive significance genome-wide significance threshold larger community-based study large-scale collaborative analyses diffusion-weighted mr imaging pre-ranked list based considered genome-wide significant lars göran nilsson brain white-matter microstructure quantitative-diffusion-tensor mri genetic factors mediate brain fractional anisotropy genome-wide scan targeted voxel-wise analysis complex trait/disease genetics tract-specific genetic relations common genetic variants gene set-based analysis multi-site genetic analysis interpreting genome-wide genome-wide search blue line represents 60 diffusion-weighted volumes gene-set enrichment analysis population-based linkage analyses human connectome project
Questions {❓}
- Liu YJ, Papasian CJ, Liu JF, Hamilton J, Deng HW (2008) Is replication the gold standard for validating genome-wide association findings?
- Spencer JPE (2008) Flavonoids: modulators of brain function?
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address:
name:Department of Radiation Sciences, Umeå University, Umeå, Sweden
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address:
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name:Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
name:K.G.Jebsen Center for Psychosis Research and the Norwegian Center for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway
name:K.G. Jebsen Center for Psychosis Research, Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
name:Department of Psychology, University of Oslo, Oslo, Norway
name:Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
name:Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
name:K.G. Jebsen Center for Psychosis Research, Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
name:Department of Psychology, University of Oslo, Oslo, Norway
name:Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
name:Department of Statistics, USBF, Umeå University, Umeå, Sweden
name:Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
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name:Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
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name:ARC, Karolinska Institutet, Stockholm, Sweden
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name:Department of Radiation Sciences, Umeå University, Umeå, Sweden
name:Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
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