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Browsing by Author "Magalhaes, T.R."

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  • Functional impact of global rare copy number variation in autism spectrum disorders
    Publication . Pinto, D.; Pagnamenta, A.T.; Klei, L.; Anney, R.; Merico, D.; Regan, R.; Conroy, J.; Magalhaes, T.R.; Correia, C.; Abrahams, B.S.; Almeida, J.; Bacchelli, E.; Bader, G.D.; Bailey, A.J.; Baird, G.; Battaglia, A.; Berney, T.; Bolshakova, N.; Bölte, S.; Bolton, P.F.; Bourgeron, T.; Brennan, S.; Brian, J.; Bryson, S.E.; Carson, A.R.; Casallo, G.; Casey, J.; Chung, B.H.; Cochrane, L.; Corsello, C.; Crawford, E.L.; Crossett, A.; Cytrynbaum, C.; Dawson, G.; de Jonge, M.; Delorme, R.; Drmic, I.; Duketis, E.; Duque, F.; Estes, A.; Farrar, P.; Fernandez, B.A.; Folstein, S.E.; Fombonne, E.; Freitag, C.M.; Gilbert, J.; Gillberg, C.; Glessner, J.T.; Goldberg, J.; Green, A.; Green, J.; Guter, S.J.; Hakonarson, H.; Heron, E.A.; Hill, M.; Holt, R.; Howe, J.L.; Hughes, G.; Hus, V.; Igliozzi, R.; Kim, C.; Klauck, S.M.; Kolevzon, A.; Korvatska, O.; Kustanovich, V.; Lajonchere, C.M.; Lamb, J.A.; Laskawiec, M.; Leboyer, M.; Le Couteur, A.; Leventhal, B.L.; Lionel, A.C.; Liu, X.Q.; Lord, C.; Lotspeich, L.; Lund, S.C.; Maestrini, E.; Mahoney, W.; Mantoulan, C.; Marshall, C.R.; McConachie, H.; McDougle, C.J.; McGrath, J.; McMahon, W.M.; Merikangas, A.; Migita, O.; Minshew, N.J.; Mirza, G.K.; Munson, J.; Nelson, S.F.; Noakes, C.; Noor, A.; Nygren, G.; Oliveira, G.; Papanikolaou, K.; Parr, J.R.; Parrini, B.; Paton, T.; Pickles, A.; Pilorge, M.; Piven, J.; Ponting, C.P.; Posey, D.J.; Poustka, A.; Poustka, F.; Prasad, A.; Ragoussis, J.; Renshaw, K.; Rickaby, J.; Roberts, W.; Roeder, K.; Roge, B.; Rutter, M.L.; Bierut, L.J.; Rice, J.P.; Salt, J.; Sansom, K.; Sato, D.; Segurado, R.; Sequeira, A.F.; Senman, L.; Shah, N.; Sheffield, V.C.; Soorya, L.; Sousa, I.; Stein, O.; Sykes, N.; Stoppioni, V.; Strawbridge, C.; Tancredi, R.; Tansey, K.; Thiruvahindrapduram, B.; Thompson, A.P.; Thomson, S.; Tryfon, A.; Tsiantis, J.; Van Engeland, H.; Vincent, J.B.; Volkmar, F.; Wallace, S.; Wang, K.; Wang, Z.; Wassink, T.H.; Webber, C.; Weksberg, R.; Wing, K.; Wittemeyer, K.; Wood, S.; Wu, J.; Yaspan, B.L.; Zurawiecki, D.; Zwaigenbaum, L.; Buxbaum, J.D.; Cantor, R.M.; Cook, E.H.; Coon, H.; Cuccaro, M.L.; Devlin, B.; Ennis, S.; Gallagher, L.; Geschwind, D.H.; Gill, M.; Haines, J.L.; Hallmayer, J.; Miller, J.; Monaco, A.P.; Nurnberger Jr, J.I.; Paterson, A.D.; Pericak-Vance, M.A.; Schellenberg, G.D.; Szatmari, P.; Vicente, A.M.; Vieland, V.J.; Wijsman, E.M.; Scherer, S.W.; Sutcliffe, J.S.; Betancur, C.
    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.
    2010-07-15Journal article Open access Show more
  • Gene-ontology enrichment analysis in two independent family-based samples highlights biologically plausible processes for autism spectrum disorders
    Publication . Anney, R.J.; Kenny, E.M.; O'Dushlaine, C.; Parkhomenka, E.; Buxbaum, J.D.; Sutcliffe, J.; Gill, M.; Gallagher, L.; Bailey, A.J.; Fernandez, B.A.; Szatmari, P.; Nurnberger Jr, J.I.; McDougle, C.J.; Posey, D.J.; Lord, C.; Corsello, C.; Hus, V.; Buxbaum, J.D.; Kolevzon, A.; Soorya, L.; Parkhomenko, E.; Scherer, S.W.; Leventhal, B.L.; Dawson, G.; Vieland, V.J.; Hakonarson, H.; Glessner, J.T.; Kim, C.; Wang, K.; Schellenberg, G.D.; Devlin, B.; Klei, L.; Patterson, A.; Minshew, N.; Sutcliffe, J.S.; Haines, J.L.; Lund, S.C.; Thomson, S.; Yaspan, B.L.; Coon, H.; Miller, J.; McMahon, W.M.; Munson, J.; Marshall, C.R.; Estes, A.; Wijsman, EM.; The Autism Genome Project; Pinto, D.; Vincent, J.B.; Fombonne, E.; Betancur, C.; Delorme, R.; Leboyer, M.; Bourgeron, T.; Mantoulan, C.; Roge, B.; Tauber, M.; Freitag, C.M.; Poustka, F.; Duketis, E.; Klauck, S.M.; Poustka, A.; Papanikolaou, K.; Tsiantis, J.; Gallagher, L.; Gill, M.; Anney, R.; Bolshakova, N.; Brennan, S.; Hughes, G.; McGrath, J.; Merikangas, A.; Ennis, S.; Green, A.; Casey, J.P.; Conroy, J.M.; Regan, R.; Shah, N.; Maestrini, E.; Bacchelli, E.; Minopoli, F.; Stoppioni, V.; Battaglia, A.; Igliozzi, R.; Parrini, B.; Tancredi, R.; Oliveira, G.; Almeida, J.; Duque, F.; Vicente, A.M.; Correia, C.; Magalhaes, T.R.; Gillberg, C.; Nygren, G.; Jonge, M.D.; Van Engeland, H.; Vorstman, J.A.; Wittemeyer, K.; Baird, G.; Bolton, P.F; Rutter, M.L.; Green, J.; Lamb, J.A.; Pickles, A.; Parr, J.R.; Couteur, A.L.; Berney, T.; McConachie, H.; Wallace, S.; Coutanche, M.; Foley, S.; White, K.; Monaco, A.P.; Holt, R.; Farrar, P.; Pagnamenta, A.T.; Mirza, G.K.; Ragoussis, J.; Sousa, I.; Sykes, N.; Wing, K.; Hallmayer, J.; Cantor, R.M.; Nelson, S.F.; Geschwind, D.H.; Abrahams, B.S.; Volkmar, F.; Pericak-Vance, M.A.; Cuccaro, M.L.; Gilbert, J.; Cook, E.H.; Guter, S.J.; Jacob, S.
    Recent genome-wide association studies (GWAS) have implicated a range of genes from discrete biological pathways in the aetiology of autism. However, despite the strong influence of genetic factors, association studies have yet to identify statistically robust, replicated major effect genes or SNPs. We apply the principle of the SNP ratio test methodology described by O'Dushlaine et al to over 2100 families from the Autism Genome Project (AGP). Using a two-stage design we examine association enrichment in 5955 unique gene-ontology classifications across four groupings based on two phenotypic and two ancestral classifications. Based on estimates from simulation we identify excess of association enrichment across all analyses. We observe enrichment in association for sets of genes involved in diverse biological processes, including pyruvate metabolism, transcription factor activation, cell-signalling and cell-cycle regulation. Both genes and processes that show enrichment have previously been examined in autistic disorders and offer biologically plausibility to these findings.
    2011-04-27Journal article Restricted access Show more
  • A genome-wide scan for common alleles affecting risk for autism
    Publication . Anney, R.; Klei, L.; Pinto, D.; Regan, R.; Conroy, J.; Magalhaes, T.R.; Correia, C.; Abrahams, B.S.; Sykes, N.; Pagnamenta, A.T.; Almeida, J.; Bacchelli, E.; Bailey, A.J.; Baird, G.; Battaglia, A.; Berney, T.; Bolshakova, N.; Bölte, S.; Bolton, P.F.; Bourgeron, T.; Brennan, S.; Brian, J.; Carson, A.R.; Casallo, G.; Casey, J.; Chu, S.H.; Cochrane, L.; Corsello, C.; Crawford, E.L.; Crossett, A.; Dawson, G.; de Jonge, M.; Delorme, R.; Drmic, I.; Duketis, E.; Duque, F.; Estes, A.; Farrar, P.; Fernandez, B.A.; Folstein, S.E.; Fombonne, E.; Freitag, C.M.; Gilbert, J.; Gillberg, C.; Glessner, J.T.; Goldberg, J.; Green, J.; Guter, S.J.; Hakonarson, H.; Heron, E.A.; Hill, M.; Holt, R.; Howe, J.L.; Hughes, G.; Hus, V.; Igliozzi, R.; Kim, C.; Klauck, S.M.; Kolevzon, A.; Korvatska, O.; Kustanovich, V.; Lajonchere, C.M.; Lamb, J.A.; Laskawiec, M.; Leboyer, M.; Le Couteur, A.; Leventhal, B.L.; Lionel, A.C.; Liu, X.Q.; Lord, C.; Lotspeich, L.; Lund, S.C.; Maestrini, E.; Mahoney, W.; Mantoulan, C.; Marshall, C.R.; McConachie, H.; McDougle, C.J.; McGrath, J.; McMahon, W.M.; Melhem, N.M.; Merikangas, A.; Migita, O.; Minshew, N.J.; Mirza, G.K.; Munson, J.; Nelson, S.F.; Noakes, C.; Noor, A.; Nygren, G.; Oliveira, G.; Papanikolaou, K.; Parr, J.R.; Parrini, B.; Paton, T.; Pickles, A.; Piven, J.; Posey, D.J.; Poustka, A.; Poustka, F.; Prasad, A.; Ragoussis, J.; Renshaw, K.; Rickaby, J.; Roberts, W.; Roeder, K.; Roge, B.; Rutter, M.L.; Bierut, L.J.; Rice, J.P.; Salt, J.; Sansom, K.; Sato, D.; Segurado, R.; Senman, L.; Shah, N.; Sheffield, V.C.; Soorya, L.; Sousa, I.; Stoppioni, V.; Strawbridge, C.; Tancredi, R.; Tansey, K.; Thiruvahindrapduram, B.; Thompson, A.P.; Thomson, S.; Tryfon, A.; Tsiantis, J.; Van Engeland, H.; Vincent, J.B.; Volkmar, F.; Wallace, S.; Wang, K.; Wang, Z.; Wassink, T.H.; Wing, K.; Wittemeyer, K.; Wood, S.; Yaspan, B.L.; Zurawiecki, D.; Zwaigenbaum, L.; Betancur, C.; Buxbaum, J.D.; Cantor, R.M.; Cook, E.H.; Coon, H.; Cuccaro, M.L.; Gallagher, L.; Geschwind, D.H.; Gill, M.; Haines, J.L.; Miller, J.; Monaco, A.P.; Nurnberger Jr, J.I.; Paterson, A.D.; Pericak-Vance, M.A.; Schellenberg, G.D.; Scherer, S.W.; Sutcliffe, J.S.; Szatmari, P.; Vicente, A.M.; Vieland, V.J.; Wijsman, E.M.; Devlin, B.; Ennis, S.; Hallmayer, J.
    Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the known genetic risk has been traced to rare variants, principally copy number variants (CNVs). To identify common risk variation, the Autism Genome Project (AGP) Consortium genotyped 1558 rigorously defined ASD families for 1 million single-nucleotide polymorphisms (SNPs) and analyzed these SNP genotypes for association with ASD. In one of four primary association analyses, the association signal for marker rs4141463, located within MACROD2, crossed the genome-wide association significance threshold of P < 5 × 10(-8). When a smaller replication sample was analyzed, the risk allele at rs4141463 was again over-transmitted; yet, consistent with the winner's curse, its effect size in the replication sample was much smaller; and, for the combined samples, the association signal barely fell below the P < 5 × 10(-8) threshold. Exploratory analyses of phenotypic subtypes yielded no significant associations after correction for multiple testing. They did, however, yield strong signals within several genes, KIAA0564, PLD5, POU6F2, ST8SIA2 and TAF1C.
    2010-10-15Journal article Open access Show more
  • Individual common variants exert weak effects on the risk for autism spectrum disorderspi
    Publication . Anney, R.; Klei, L.; Pinto, D.; Almeida, J.; Bacchelli, E.; Baird, G.; Bolshakova, N.; Bölte, S.; Bolton, P.F.; Bourgeron, T.; Brennan, S.; Brian, J.; Casey, J.; Conroy, J.; Correia, C.; Corsello, C.; Crawford, E.L.; de Jonge, M.; Delorme, R.; Duketis, E.; Duque, F.; Estes, A.; Farrar, P.; Fernandez, B.A.; Folstein, S.E.; Fombonne, E.; Gilbert, J.; Gillberg, C.; Glessner, J.T.; Green, A.; Green, J.; Guter, S.J.; Heron, E.A.; Holt, R.; Howe, J.L.; Hughes, G.; Hus, V.; Igliozzi, R.; Jacob, S.; Kenny, G.P.; Kim, C.; Kolevzon, A.; Kustanovich, V.; Lajonchere, C.M.; Lamb, J.A.; Law-Smith, M.; Leboyer, M.; Le Couteur, A.; Leventhal, B.L.; Liu, X.Q.; Lombard, F.; Lord, C.; Lotspeich, L.; Lund, S.C.; Magalhaes, T.R.; Mantoulan, C.; McDougle, C.J.; Melhem, N.M.; Merikangas, A.; Minshew, N.J.; Mirza, G.K.; Munson, J.; Noakes, C.; Nygren, G.; Papanikolaou, K.; Pagnamenta, A.T.; Parrini, B.; Paton, T.; Pickles, A.; Posey, D.J.; Poustka, F.; Ragoussis, J.; Regan, R.; Roberts, W.; Roeder, K.; Roge, B.; Rutter, M.L.; Schlitt, S.; Shah, N.; Sheffield, V.C.; Soorya, L.; Sousa, I.; Stoppioni, V.; Sykes, N.; Tancredi, R.; Thompson, A.P.; Thomson, S.; Tryfon, A.; Tsiantis, J.; Van Engeland, H.; Vincent, J.B.; Volkmar, F.; Vorstman, J.; Wallace, S.; Wing, K.; Wittemeyer, K.; Wood, S.; Zurawiecki, D.; Zwaigenbaum, L.; Bailey, AJ; Battaglia, A.; Cantor, R.M.; Coon, H.; Cuccaro, M.L.; Dawson, G.; Ennis, S.; Freitag, C.M.; Geschwind, D.H.; Haines, J.L.; Klauck, S.M.; McMahon, W.M.; Maestrini, E.; Miller, J.; Monaco, A.P.; Nelson, S.F.; Nurnberger Jr, J.I.; Oliveira, G.; Parr, J.R.; Pericak-Vance, M.A.; Piven, J.; Schellenberg, G.D.; Scherer, S.W.; Vicente, A.M.; Wassink, T.H.; Wijsman, E.M.; Betancur, C.; Buxbaum, J.D.; Cook, E.H.; Gallagher, L.; Gill, M.; Hallmayer, J.; Paterson, A.D.; Sutcliffe, J.S.; Szatmari, P.; Vieland, V.J.; Hakonarson, H.; Devlin, B.
    While it is apparent that rare variation can play an important role in the genetic architecture of autism spectrum disorders (ASDs), the contribution of common variation to the risk of developing ASD is less clear. To produce a more comprehensive picture, we report Stage 2 of the Autism Genome Project genome-wide association study, adding 1301 ASD families and bringing the total to 2705 families analysed (Stages 1 and 2). In addition to evaluating the association of individual single nucleotide polymorphisms (SNPs), we also sought evidence that common variants, en masse, might affect the risk. Despite genotyping over a million SNPs covering the genome, no single SNP shows significant association with ASD or selected phenotypes at a genome-wide level. The SNP that achieves the smallest P-value from secondary analyses is rs1718101. It falls in CNTNAP2, a gene previously implicated in susceptibility for ASD. This SNP also shows modest association with age of word/phrase acquisition in ASD subjects, of interest because features of language development are also associated with other variation in CNTNAP2. In contrast, allele scores derived from the transmission of common alleles to Stage 1 cases significantly predict case status in the independent Stage 2 sample. Despite being significant, the variance explained by these allele scores was small (Vm< 1%). Based on results from individual SNPs and their en masse effect on risk, as inferred from the allele score results, it is reasonable to conclude that common variants affect the risk for ASD but their individual effects are modest.
    2012-08-08Journal article Open access Show more
  • The impact of the metabotropic glutamate receptor and other gene family interaction networks on autism
    Publication . Hadley, D.; Wu, Z.L.; Kao, C.; Kini, A.; Mohamed-Hadley, A.; Thomas, K.; Vazquez, L.; Qiu, H.; Mentch, F.; Pellegrino, R.; Kim, C.; Connolly, J.; Glessner, J.; Hakonarson, H.; Pinto, D.; Merikangas, A.; Klei, L.; Vorstman, J.A.; Thompson, A.; Regan, R.; Pagnamenta, A.T.; Oliveira, B.; Magalhaes, T.R.; Gilbert, J.; Duketis, E.; De Jonge, M.V.; Cuccaro, M.; Correia, C.T.; Conroy, J.; Conceição, I.C.; Chiocchetti, A.G.; Casey, J.P.; Bolshakova, N.; Bacchelli, E.; Anney, R.; Zwaigenbaum, L.; Wittemeyer, K.; Wallace, S.; Engeland, Hv; Soorya, L.; Rogé, B.; Roberts, W.; Poustka, F.; Mouga, S.; Minshew, N.; McGrew, S.G.; Lord, C.; Leboyer, M.; Le Couteur, A.S.; Kolevzon, A.; Jacob, S.; Guter, S.; Green, J.; Green, A.; Gillberg, C.; Fernandez, B.A.; Duque, F.; Delorme, R.; Dawson, G.; Café, C.; Brennan, S.; Bourgeron, T.; Bolton, P.F.; Bölte, S.; Bernier, R.; Baird, G.; Bailey, A.J.; Anagnostou, E.; Almeida, J.; Wijsman, E.M.; Vieland, V.J.; Vicente, A.M.; Schellenberg, G.D.; Pericak-Vance, M.; Paterson, A.D.; Parr, J.R.; Oliveira, G.; Almeida, J.; Café, C.; Mouga, S.; Correia, C.; Nurnberger, J.I.; Monaco, A.P.; Maestrini, E.; Klauck, S.M.; Hakonarson, H.; Haines, J.L.; Geschwind, D.H.; Freitag, C.M.; Folstein, S.E.; Ennis, S.; Coon, H.; Battaglia, A.; Szatmari, P.; Sutcliffe, J.S.; Hallmayer, J.; Gill, M.; Cook, E.H.; Buxbaum, J.D.; Devlin, B.; Gallagher, L.; Betancur, C.; Scherer, S.W.
    Although multiple reports show that defective genetic networks underlie the aetiology of autism, few have translated into pharmacotherapeutic opportunities. Since drugs compete with endogenous small molecules for protein binding, many successful drugs target large gene families with multiple drug binding sites. Here we search for defective gene family interaction networks (GFINs) in 6,742 patients with the ASDs relative to 12,544 neurologically normal controls, to find potentially druggable genetic targets. We find significant enrichment of structural defects (P≤2.40E-09, 1.8-fold enrichment) in the metabotropic glutamate receptor (GRM) GFIN, previously observed to impact attention deficit hyperactivity disorder (ADHD) and schizophrenia. Also, the MXD-MYC-MAX network of genes, previously implicated in cancer, is significantly enriched (P≤3.83E-23, 2.5-fold enrichment), as is the calmodulin 1 (CALM1) gene interaction network (P≤4.16E-04, 14.4-fold enrichment), which regulates voltage-independent calcium-activated action potentials at the neuronal synapse. We find that multiple defective gene family interactions underlie autism, presenting new translational opportunities to explore for therapeutic interventions.
    2014-06-13Journal article Open access Show more