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Alexander Kolevzon

Bio: Alexander Kolevzon is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Autism & Autism spectrum disorder. The author has an hindex of 38, co-authored 103 publications receiving 11282 citations. Previous affiliations of Alexander Kolevzon include University of North Carolina at Chapel Hill & Mount Sinai Health System.


Papers
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Journal ArticleDOI
Silvia De Rubeis1, Xin-Xin He2, Arthur P. Goldberg1, Christopher S. Poultney1, Kaitlin E. Samocha3, A. Ercument Cicek2, Yan Kou1, Li Liu2, Menachem Fromer3, Menachem Fromer1, R. Susan Walker4, Tarjinder Singh5, Lambertus Klei6, Jack A. Kosmicki3, Shih-Chen Fu1, Branko Aleksic7, Monica Biscaldi8, Patrick Bolton9, Jessica M. Brownfeld1, Jinlu Cai1, Nicholas G. Campbell10, Angel Carracedo11, Angel Carracedo12, Maria H. Chahrour3, Andreas G. Chiocchetti, Hilary Coon13, Emily L. Crawford10, Lucy Crooks5, Sarah Curran9, Geraldine Dawson14, Eftichia Duketis, Bridget A. Fernandez15, Louise Gallagher16, Evan T. Geller17, Stephen J. Guter18, R. Sean Hill3, R. Sean Hill19, Iuliana Ionita-Laza20, Patricia Jiménez González, Helena Kilpinen, Sabine M. Klauck21, Alexander Kolevzon1, Irene Lee22, Jing Lei2, Terho Lehtimäki, Chiao-Feng Lin17, Avi Ma'ayan1, Christian R. Marshall4, Alison L. McInnes23, Benjamin M. Neale24, Michael John Owen25, Norio Ozaki7, Mara Parellada26, Jeremy R. Parr27, Shaun Purcell1, Kaija Puura, Deepthi Rajagopalan4, Karola Rehnström5, Abraham Reichenberg1, Aniko Sabo28, Michael Sachse, Stephen Sanders29, Chad M. Schafer2, Martin Schulte-Rüther30, David Skuse31, David Skuse22, Christine Stevens24, Peter Szatmari32, Kristiina Tammimies4, Otto Valladares17, Annette Voran33, Li-San Wang17, Lauren A. Weiss29, A. Jeremy Willsey29, Timothy W. Yu19, Timothy W. Yu3, Ryan K. C. Yuen4, Edwin H. Cook18, Christine M. Freitag, Michael Gill16, Christina M. Hultman34, Thomas Lehner35, Aarno Palotie24, Aarno Palotie36, Aarno Palotie3, Gerard D. Schellenberg17, Pamela Sklar1, Matthew W. State29, James S. Sutcliffe10, Christopher A. Walsh3, Christopher A. Walsh19, Stephen W. Scherer4, Michael E. Zwick37, Jeffrey C. Barrett5, David J. Cutler37, Kathryn Roeder2, Bernie Devlin6, Mark J. Daly24, Mark J. Daly3, Joseph D. Buxbaum1 
13 Nov 2014-Nature
TL;DR: Using exome sequencing, it is shown that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate of < 0.05, plus a set of 107 genes strongly enriched for those likely to affect risk (FDR < 0.30).
Abstract: The genetic architecture of autism spectrum disorder involves the interplay of common and rare variants and their impact on hundreds of genes. Using exome sequencing, here we show that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate (FDR) < 0.05, plus a set of 107 autosomal genes strongly enriched for those likely to affect risk (FDR < 0.30). These 107 genes, which show unusual evolutionary constraint against mutations, incur de novo loss-of-function mutations in over 5% of autistic subjects. Many of the genes implicated encode proteins for synaptic formation, transcriptional regulation and chromatin-remodelling pathways. These include voltage-gated ion channels regulating the propagation of action potentials, pacemaking and excitability-transcription coupling, as well as histone-modifying enzymes and chromatin remodellers-most prominently those that mediate post-translational lysine methylation/demethylation modifications of histones.

2,228 citations

Journal ArticleDOI
Dalila Pinto1, Alistair T. Pagnamenta2, Lambertus Klei3, Richard Anney4  +178 moreInstitutions (46)
15 Jul 2010-Nature
TL;DR: The genome-wide characteristics of rare (<1% frequency) copy number variation in ASD are analysed using dense genotyping arrays to reveal many new genetic and functional targets in ASD that may lead to final connected pathways.
Abstract: The autism spectrum disorders (ASDs) are a group of conditions characterized by impairments in reciprocal social interaction and communication, and the presence of restricted and repetitive behaviours. Individuals with an ASD vary greatly in cognitive development, which can range from above average to intellectual disability. Although ASDs are known to be highly heritable ( approximately 90%), the underlying genetic determinants are still largely unknown. Here we analysed the genome-wide characteristics of rare (<1% frequency) copy number variation in ASD using dense genotyping arrays. When comparing 996 ASD individuals of European ancestry to 1,287 matched controls, cases were found to carry a higher global burden of rare, genic copy number variants (CNVs) (1.19 fold, P = 0.012), especially so for loci previously implicated in either ASD and/or intellectual disability (1.69 fold, P = 3.4 x 10(-4)). Among the CNVs there were numerous de novo and inherited events, sometimes in combination in a given family, implicating many novel ASD genes such as SHANK2, SYNGAP1, DLGAP2 and the X-linked DDX53-PTCHD1 locus. We also discovered an enrichment of CNVs disrupting functional gene sets involved in cellular proliferation, projection and motility, and GTPase/Ras signalling. Our results reveal many new genetic and functional targets in ASD that may lead to final connected pathways.

1,919 citations

Journal ArticleDOI
28 May 2009-Nature
TL;DR: Several new susceptibility genes encoding neuronal cell-adhesion molecules, including NLGN1 and ASTN2, were enriched with CNVs in ASD cases compared to controls, and duplications 55 kilobases upstream of complementary DNA AK123120 indicate that these two important gene networks expressed within the central nervous system may contribute to the genetic susceptibility of ASD.
Abstract: Several lines of evidence point to genetic involvement in autism spectrum disorders (ASDs), neurodevelopmental and neuropsychiatric disorders characterized by impaired verbal communication and social interaction. The clinical and genetic complexities of the condition make it difficult to identify susceptibility factors, but two related studies now present robust evidence for a genetic involvement. The first, a genome-wide association study, identifies six single-nucleotide polymorphisms strongly associated with autism. These variants lie between two genes encoding neuronal cell-adhesion molecules (cadherins 9 and 10), suggesting possible involvement in ASD pathogenesis. The second study used copy number variation screens to identify genetic variants in two major gene pathways in children with ASDs. The changes are in the ubiquitin pathway, which has previously been associated with neurological disease, and in genes for neuronal cell-adhesion molecules.

1,331 citations

Journal ArticleDOI
06 Feb 2020-Cell
TL;DR: The largest exome sequencing study of autism spectrum disorder (ASD) to date, using an enhanced analytical framework to integrate de novo and case-control rare variation, identifies 102 risk genes at a false discovery rate of 0.1 or less, consistent with multiple paths to an excitatory-inhibitory imbalance underlying ASD.

1,169 citations

Journal ArticleDOI
Dalila Pinto1, Elsa Delaby2, Elsa Delaby3, Elsa Delaby4, Daniele Merico5, Mafalda Barbosa1, Alison K. Merikangas6, Lambertus Klei7, Bhooma Thiruvahindrapuram5, Xiao Xu1, Robert Ziman5, Zhuozhi Wang5, Jacob A. S. Vorstman8, Ann P. Thompson9, Regina Regan10, Regina Regan11, Marion Pilorge3, Marion Pilorge2, Marion Pilorge4, Giovanna Pellecchia5, Alistair T. Pagnamenta12, Bárbara Oliveira13, Bárbara Oliveira14, Christian R. Marshall5, Tiago R. Magalhaes11, Tiago R. Magalhaes10, Jennifer K. Lowe15, Jennifer L. Howe5, Anthony J. Griswold16, John R. Gilbert16, Eftichia Duketis17, Beth A. Dombroski18, Maretha de Jonge8, Michael L. Cuccaro16, Emily L. Crawford19, Catarina Correia13, Catarina Correia14, Judith Conroy20, Inȇs C. Conceição14, Inȇs C. Conceição13, Andreas G. Chiocchetti17, Jillian P. Casey11, Jillian P. Casey10, Guiqing Cai1, Christelle Cabrol3, Christelle Cabrol4, Christelle Cabrol2, Nadia Bolshakova6, Elena Bacchelli21, Richard Anney6, Steven Gallinger5, Michelle Cotterchio22, Graham Casey23, Lonnie Zwaigenbaum24, Kerstin Wittemeyer25, Kirsty Wing12, Simon Wallace12, Herman van Engeland8, Ana Tryfon26, Susanne Thomson19, Latha Soorya27, Bernadette Rogé, Wendy Roberts5, Fritz Poustka17, Susana Mouga28, Nancy J. Minshew7, L. Alison McInnes29, Susan G. McGrew19, Catherine Lord30, Marion Leboyer, Ann Le Couteur31, Alexander Kolevzon1, Patricia Jiménez González, Suma Jacob32, Suma Jacob33, Richard Holt12, Stephen J. Guter33, Jonathan Green, Andrew Green11, Andrew Green10, Christopher Gillberg34, Bridget A. Fernandez35, Frederico Duque28, Richard Delorme, Geraldine Dawson36, Pauline Chaste, Cátia Café, Sean Brennan6, Thomas Bourgeron37, Patrick Bolton38, Patrick Bolton39, Sven Bölte17, Raphael Bernier40, Gillian Baird39, Anthony J. Bailey12, Evdokia Anagnostou5, Joana Almeida, Ellen M. Wijsman40, Veronica J. Vieland41, Astrid M. Vicente14, Astrid M. Vicente13, Gerard D. Schellenberg18, Margaret A. Pericak-Vance16, Andrew D. Paterson5, Jeremy R. Parr31, Guiomar Oliveira28, John I. Nurnberger42, Anthony P. Monaco43, Anthony P. Monaco12, Elena Maestrini21, Sabine M. Klauck44, Hakon Hakonarson18, Jonathan L. Haines19, Daniel H. Geschwind15, Christine M. Freitag17, Susan E. Folstein16, Sean Ennis10, Sean Ennis11, Hilary Coon45, Agatino Battaglia, Peter Szatmari9, James S. Sutcliffe19, Joachim Hallmayer46, Michael Gill6, Edwin H. Cook33, Joseph D. Buxbaum1, Bernie Devlin7, Louise Gallagher6, Catalina Betancur2, Catalina Betancur4, Catalina Betancur3, Stephen W. Scherer5 
TL;DR: For example, the authors analyzed 2,446 ASD-affected families and confirmed an excess of genic deletions and duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) and an increase in affected subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD and intellectual disability.
Abstract: Rare copy-number variation (CNV) is an important source of risk for autism spectrum disorders (ASDs). We analyzed 2,446 ASD-affected families and confirmed an excess of genic deletions and duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) and an increase in affected subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD and intellectual disability (odds ratio = 12.62, p = 2.7 × 10(-15), ∼3% of ASD subjects). Pathogenic CNVs, often showing variable expressivity, included rare de novo and inherited events at 36 loci, implicating ASD-associated genes (CHD2, HDAC4, and GDI1) previously linked to other neurodevelopmental disorders, as well as other genes such as SETD5, MIR137, and HDAC9. Consistent with hypothesized gender-specific modulators, females with ASD were more likely to have highly penetrant CNVs (p = 0.017) and were also overrepresented among subjects with fragile X syndrome protein targets (p = 0.02). Genes affected by de novo CNVs and/or loss-of-function single-nucleotide variants converged on networks related to neuronal signaling and development, synapse function, and chromatin regulation.

833 citations


Cited by
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01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

Journal Article

5,680 citations

Journal ArticleDOI
TL;DR: The remarkable range of discoveriesGWASs has facilitated in population and complex-trait genetics, the biology of diseases, and translation toward new therapeutics are reviewed.
Abstract: Application of the experimental design of genome-wide association studies (GWASs) is now 10 years old (young), and here we review the remarkable range of discoveries it has facilitated in population and complex-trait genetics, the biology of diseases, and translation toward new therapeutics. We predict the likely discoveries in the next 10 years, when GWASs will be based on millions of samples with array data imputed to a large fully sequenced reference panel and on hundreds of thousands of samples with whole-genome sequencing data.

2,669 citations

Journal ArticleDOI
15 Jun 2017-Cell
TL;DR: It is proposed that gene regulatory networks are sufficiently interconnected such that all genes expressed in disease-relevant cells are liable to affect the functions of core disease-related genes and that most heritability can be explained by effects on genes outside core pathways.

2,257 citations

Journal ArticleDOI
Silvia De Rubeis1, Xin-Xin He2, Arthur P. Goldberg1, Christopher S. Poultney1, Kaitlin E. Samocha3, A. Ercument Cicek2, Yan Kou1, Li Liu2, Menachem Fromer3, Menachem Fromer1, R. Susan Walker4, Tarjinder Singh5, Lambertus Klei6, Jack A. Kosmicki3, Shih-Chen Fu1, Branko Aleksic7, Monica Biscaldi8, Patrick Bolton9, Jessica M. Brownfeld1, Jinlu Cai1, Nicholas G. Campbell10, Angel Carracedo11, Angel Carracedo12, Maria H. Chahrour3, Andreas G. Chiocchetti, Hilary Coon13, Emily L. Crawford10, Lucy Crooks5, Sarah Curran9, Geraldine Dawson14, Eftichia Duketis, Bridget A. Fernandez15, Louise Gallagher16, Evan T. Geller17, Stephen J. Guter18, R. Sean Hill19, R. Sean Hill3, Iuliana Ionita-Laza20, Patricia Jiménez González, Helena Kilpinen, Sabine M. Klauck21, Alexander Kolevzon1, Irene Lee22, Jing Lei2, Terho Lehtimäki, Chiao-Feng Lin17, Avi Ma'ayan1, Christian R. Marshall4, Alison L. McInnes23, Benjamin M. Neale24, Michael John Owen25, Norio Ozaki7, Mara Parellada26, Jeremy R. Parr27, Shaun Purcell1, Kaija Puura, Deepthi Rajagopalan4, Karola Rehnström5, Abraham Reichenberg1, Aniko Sabo28, Michael Sachse, Stephen Sanders29, Chad M. Schafer2, Martin Schulte-Rüther30, David Skuse31, David Skuse22, Christine Stevens24, Peter Szatmari32, Kristiina Tammimies4, Otto Valladares17, Annette Voran33, Li-San Wang17, Lauren A. Weiss29, A. Jeremy Willsey29, Timothy W. Yu3, Timothy W. Yu19, Ryan K. C. Yuen4, Edwin H. Cook18, Christine M. Freitag, Michael Gill16, Christina M. Hultman34, Thomas Lehner35, Aarno Palotie3, Aarno Palotie24, Aarno Palotie36, Gerard D. Schellenberg17, Pamela Sklar1, Matthew W. State29, James S. Sutcliffe10, Christopher A. Walsh19, Christopher A. Walsh3, Stephen W. Scherer4, Michael E. Zwick37, Jeffrey C. Barrett5, David J. Cutler37, Kathryn Roeder2, Bernie Devlin6, Mark J. Daly3, Mark J. Daly24, Joseph D. Buxbaum1 
13 Nov 2014-Nature
TL;DR: Using exome sequencing, it is shown that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate of < 0.05, plus a set of 107 genes strongly enriched for those likely to affect risk (FDR < 0.30).
Abstract: The genetic architecture of autism spectrum disorder involves the interplay of common and rare variants and their impact on hundreds of genes. Using exome sequencing, here we show that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate (FDR) < 0.05, plus a set of 107 autosomal genes strongly enriched for those likely to affect risk (FDR < 0.30). These 107 genes, which show unusual evolutionary constraint against mutations, incur de novo loss-of-function mutations in over 5% of autistic subjects. Many of the genes implicated encode proteins for synaptic formation, transcriptional regulation and chromatin-remodelling pathways. These include voltage-gated ion channels regulating the propagation of action potentials, pacemaking and excitability-transcription coupling, as well as histone-modifying enzymes and chromatin remodellers-most prominently those that mediate post-translational lysine methylation/demethylation modifications of histones.

2,228 citations