Biological annotation of genetic loci associated with intelligence in a meta-analysis of 87,740 individuals
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S. Linnarsson | P. Sullivan | G. Breen | G. Crawford | R. Plomin | D. Posthuma | J. Savage | J. Bryois | N. Skene | J. Hjerling-Leffler | J. Coleman | P. Jansen | A. B. Muñoz-Manchado | Héléna A. Gaspar
[1] P. O’Reilly,et al. Correction: Corrigendum: Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk , 2017, Nature Genetics.
[2] G. Breen,et al. A genome-wide association study for extremely high intelligence , 2017, Molecular Psychiatry.
[3] Yang I Li,et al. An Expanded View of Complex Traits: From Polygenic to Omnigenic , 2017, Cell.
[4] Timothy E. Reddy,et al. Evaluation of Chromatin Accessibility in Prefrontal Cortex of Schizophrenia Cases and Controls , 2017, bioRxiv.
[5] Robert Plomin,et al. Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence , 2017, Nature Genetics.
[6] D. Posthuma,et al. FUMA: Functional mapping and annotation of genetic associations , 2017, bioRxiv.
[7] Eleazar Eskin,et al. Widespread allelic heterogeneity in complex traits , 2016, bioRxiv.
[8] Chi-Hua Chen,et al. Genome-wide analyses for personality traits identify six genomic loci and show correlations with psychiatric disorders , 2016, Nature Genetics.
[9] Gautier Koscielny,et al. Open Targets: a platform for therapeutic target identification and validation , 2016, Nucleic Acids Res..
[10] Alessandro Bertolino,et al. Translating genome-wide association findings into new therapeutics for psychiatry , 2016, Nature Neuroscience.
[11] Lars E. Borm,et al. Molecular Diversity of Midbrain Development in Mouse, Human, and Stem Cells , 2016, Cell.
[12] Naomi R. Wray,et al. Common schizophrenia alleles are enriched in mutation-intolerant genes and maintained by background selection , 2016, bioRxiv.
[13] J. Bressler,et al. Molecular genetic aetiology of general cognitive function is enriched in evolutionarily conserved regions , 2016, Translational Psychiatry.
[14] F. Muntoni,et al. Clinical features of the myasthenic syndrome arising from mutations in GMPPB , 2016, Journal of Neurology, Neurosurgery & Psychiatry.
[15] T. Heskes,et al. The statistical properties of gene-set analysis , 2016, Nature Reviews Genetics.
[16] Jonathan Scott Friedlaender,et al. Excavating Neandertal and Denisovan DNA from the genomes of Melanesian individuals , 2016, Science.
[17] Stuart J. Ritchie,et al. Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151) , 2016, Molecular Psychiatry.
[18] Jonathan P. Beauchamp,et al. Genome-wide association study identifies 74 loci associated with educational attainment , 2016, Nature.
[19] P. Visscher,et al. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets , 2016, Nature Genetics.
[20] D. Geschwind,et al. Cytoplasmic Rbfox1 Regulates the Expression of Synaptic and Autism-Related Genes , 2016, Neuron.
[21] B. Pasaniuc,et al. Contrasting the genetic architecture of 30 complex traits from summary association data , 2016, bioRxiv.
[22] J. Mesirov,et al. The Molecular Signatures Database Hallmark Gene Set Collection , 2015 .
[23] K. Campbell,et al. GMPPB‐Associated Dystroglycanopathy: Emerging Common Variants with Phenotype Correlation , 2015, Human mutation.
[24] L. Vissers,et al. Genetic studies in intellectual disability and related disorders , 2015, Nature Reviews Genetics.
[25] N. Wray,et al. Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance components analysis , 2015, Nature Genetics.
[26] Gabor T. Marth,et al. An integrated map of structural variation in 2,504 human genomes , 2015, Nature.
[27] Yakir A Reshef,et al. Partitioning heritability by functional annotation using genome-wide association summary statistics , 2015, Nature Genetics.
[28] S. Gabriel,et al. Phenotypic extremes in rare variant study designs , 2015, European Journal of Human Genetics.
[29] I. Gottesman,et al. Classical and Molecular Genetic Research on General Cognitive Ability. , 2015, The Hastings Center report.
[30] K. Bushby,et al. This Work Is Licensed under a Creative Commons Attribution 4.0 International License Mutations in Gmppb Cause Congenital Myasthenic Syndrome and Bridge Myasthenic Disorders with Dystroglycanopathies , 2022 .
[31] Jun S. Liu,et al. The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans , 2015, Science.
[32] D. MacArthur,et al. Expanding the phenotype of GMPPB mutations. , 2015, Brain : a journal of neurology.
[33] Joris M. Mooij,et al. MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..
[34] S. Linnarsson,et al. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq , 2015, Science.
[35] Laura J. Scott,et al. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways , 2015, Nature Neuroscience.
[36] Carson C Chow,et al. Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.
[37] M. Daly,et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.
[38] P. Visscher,et al. Childhood intelligence is heritable, highly polygenic and associated with FNBP1L , 2014, Molecular Psychiatry.
[39] Howard Y. Chang,et al. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position , 2013, Nature Methods.
[40] D. MacArthur,et al. Mutations in GDP-mannose pyrophosphorylase B cause congenital and limb-girdle muscular dystrophies associated with hypoglycosylation of α-dystroglycan. , 2013, American journal of human genetics.
[41] D. Ginty,et al. Dystroglycan Organizes Axon Guidance Cue Localization and Axonal Pathfinding , 2012, Neuron.
[42] Jacy L. Wagnon,et al. CELF4 Regulates Translation and Local Abundance of a Vast Set of mRNAs, Including Genes Associated with Regulation of Synaptic Function , 2012, PLoS genetics.
[43] Allan R. Jones,et al. Large-Scale Cellular-Resolution Gene Profiling in Human Neocortex Reveals Species-Specific Molecular Signatures , 2012, Cell.
[44] S. Bergmann,et al. The evolution of gene expression levels in mammalian organs , 2011, Nature.
[45] Yun Li,et al. METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..
[46] I. Deary,et al. The neuroscience of human intelligence differences , 2010, Nature Reviews Neuroscience.
[47] Manuel A. R. Ferreira,et al. Practical aspects of imputation-driven meta-analysis of genome-wide association studies. , 2008, Human molecular genetics.
[48] Michael R. Green,et al. Transcriptional regulatory elements in the human genome. , 2006, Annual review of genomics and human genetics.
[49] N. Wray. Allele frequencies and the r2 measure of linkage disequilibrium: impact on design and interpretation of association studies. , 2005, Twin research and human genetics : the official journal of the International Society for Twin Studies.
[50] Roberts Ja. The genetics of mental deficiency. , 1952 .
[51] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[52] Carol V. Ward,et al. Ecological dominance, social competition, and coalitionary arms races: Why humans evolved extraordinary intelligence. , 2005 .
[53] C. Carlson,et al. Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium. , 2004, American journal of human genetics.
[54] Pak Chung Sham,et al. Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits , 2003, Bioinform..
[55] M. Croning,et al. Characterization of the proteome, diseases and evolution of the human postsynaptic density , 2011, Nature Neuroscience.