Showing papers by "Anna C. Need published in 2018"
VU University Amsterdam1, Erasmus University Rotterdam2, Karolinska Institutet3, Charité4, Virginia Commonwealth University5, South London and Maudsley NHS Foundation Trust6, QIMR Berghofer Medical Research Institute7, King's College London8, University of Southern Denmark9, University of California, Riverside10, University of Southern California11, University of Minnesota12, University of Queensland13, University College London14, Johns Hopkins University15, University of California, Los Angeles16, University of Crete17, Icahn School of Medicine at Mount Sinai18, Veterans Health Administration19, Harvard University20, Yale University21, Haukeland University Hospital22, Trinity College, Dublin23, University of Edinburgh24, Hofstra University25, North Shore-LIJ Health System26, National Institutes of Health27, Oslo University Hospital28, University of Bergen29, National University of Ireland, Galway30, University of Helsinki31, University of Oslo32, Martin Luther University of Halle-Wittenberg33, Duke University34, Mental Health Research Institute35, National and Kapodistrian University of Athens36, University of Colorado Boulder37, Imperial College London38, University of Manchester39, Wellcome Trust40, Manchester Academic Health Science Centre41, Stanford University42, University of Oregon43, University of Toronto44, University of Michigan45, Erasmus University Medical Center46, Broad Institute47, University of North Carolina at Chapel Hill48
TL;DR: A large-scale genetic association study of intelligence identifies 190 new loci and implicates 939 new genes related to neurogenesis, neuron differentiation and synaptic structure, a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.
Abstract: Intelligence is highly heritable1 and a major determinant of human health and well-being2. Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence3-7, but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.
800 citations
TL;DR: In this paper, the authors combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci associated with general cognitive function.
Abstract: General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10-8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.
421 citations
01 Jan 2018
203 citations
TL;DR: The report of four individuals with an overlapping spectrum of craniofacial dysmorphisms, cardiac anomalies, skeletal malformations, immune deficiency, endocrine abnormalities and developmental impairments, reminiscent of DiGeorge syndrome, are reported, suggesting that TBX2 is a novel candidate gene for a new multisystem malformation disorder.
Abstract: The 17 genes of the T-box family are transcriptional regulators that are involved in all stages of embryonic development, including craniofacial, brain, heart, skeleton and immune system. Malformation syndromes have been linked to many of the T-box genes. For example, haploinsufficiency of TBX1 is responsible for many structural malformations in DiGeorge syndrome caused by a chromosome 22q11.2 deletion. We report four individuals with an overlapping spectrum of craniofacial dysmorphisms, cardiac anomalies, skeletal malformations, immune deficiency, endocrine abnormalities and developmental impairments, reminiscent of DiGeorge syndrome, who are heterozygotes for TBX2 variants. The p.R20Q variant is shared by three affected family members in an autosomal dominant manner; the fourth unrelated individual has a de novo p.R305H mutation. Bioinformatics analyses indicate that these variants are rare and predict them to be damaging. In vitro transcriptional assays in cultured cells show that both variants result in reduced transcriptional repressor activity of TBX2. We also show that the variants result in reduced protein levels of TBX2. Heterologous over-expression studies in Drosophila demonstrate that both p.R20Q and p.R305H function as partial loss-of-function alleles. Hence, these and other data suggest that TBX2 is a novel candidate gene for a new multisystem malformation disorder.
51 citations
08 Feb 2018
7 citations
Yale University1, Oslo University Hospital2, University of Bergen3, University of Oslo4, Haukeland University Hospital5, University of Helsinki6, Martin Luther University of Halle-Wittenberg7, Icahn School of Medicine at Mount Sinai8, University of Crete9, Harvard University10, University of Manchester11, Duke University12, Imperial College London13, University of Toronto14, National and Kapodistrian University of Athens15, Johns Hopkins University School of Medicine16, Mental Health Research Institute17, Semel Institute for Neuroscience and Human Behavior18, Stanford University19, University of Oregon20, National Institutes of Health21, Johns Hopkins University22, National University of Ireland, Galway23, Trinity College, Dublin24, Manchester Academic Health Science Centre25, University of Colorado Boulder26, Hofstra University27, North Shore-LIJ Health System28
TL;DR: In this paper, the authors show that their results do not suffer from "inflation in the FDR [false discovery rate]", as suggested by Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88).
Abstract: Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88) presented a critique of our recently published paper in Cell Reports entitled 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' (Lam et al., Cell Reports, Vol. 21, 2017, 2597-2613). Specifically, Hill offered several interrelated comments suggesting potential problems with our use of a new analytic method called Multi-Trait Analysis of GWAS (MTAG) (Turley et al., Nature Genetics, Vol. 50, 2018, 229-237). In this brief article, we respond to each of these concerns. Using empirical data, we conclude that our MTAG results do not suffer from 'inflation in the FDR [false discovery rate]', as suggested by Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88), and are not 'more relevant to the genetic contributions to education than they are to the genetic contributions to intelligence'.
4 citations
Yale University1, Oslo University Hospital2, University of Bergen3, University of Oslo4, Haukeland University Hospital5, University of Helsinki6, Martin Luther University of Halle-Wittenberg7, Icahn School of Medicine at Mount Sinai8, University of Crete9, Harvard University10, University of Manchester11, Duke University12, Imperial College London13, University of Toronto14, National and Kapodistrian University of Athens15, Johns Hopkins University School of Medicine16, Mental Health Research Institute17, Semel Institute for Neuroscience and Human Behavior18, Stanford University19, University of Oregon20, National Institutes of Health21, Johns Hopkins University22, National University of Ireland, Galway23, Trinity College, Dublin24, Manchester Academic Health Science Centre25, University of Colorado Boulder26, North Shore-LIJ Health System27, Hofstra University28
TL;DR: Using empirical data, it is concluded that the MTAG results do not suffer from ‘inflation in the FDR [false discovery rate]’, as suggested by Hill, and are not ‘more relevant to the genetic contributions to education than they are to the Genetic contributions to intelligence’.
Abstract: Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88) presented a critique of our recently published paper in Cell Reports entitled 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' (Lam et al., Cell Reports, Vol. 21, 2017, 2597-2613). Specifically, Hill offered several interrelated comments suggesting potential problems with our use of a new analytic method called Multi-Trait Analysis of GWAS (MTAG) (Turley et al., Nature Genetics, Vol. 50, 2018, 229-237). In this brief article, we respond to each of these concerns. Using empirical data, we conclude that our MTAG results do not suffer from 'inflation in the FDR [false discovery rate]', as suggested by Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88), and are not 'more relevant to the genetic contributions to education than they are to the genetic contributions to intelligence'.