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1. Individual common variants exert weak effects on the risk for autism spectrum disorders.

Author

Anney R, Klei L, Pinto D, Almeida J, Bacchelli E, Baird G, Bolshakova N, Bölte S, Bolton PF, Bourgeron T, Brennan S, Brian J, Casey J, Conroy J, Correia C, Corsello C, Crawford EL, de Jonge M, Delorme R, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, Fombonne E, Gilbert J, Gillberg C, Glessner JT, Green A, Green J, Guter SJ, Heron EA, Holt R, Howe JL, Hughes G, Hus V, Igliozzi R, Jacob S, Kenny GP, Kim C, Kolevzon A, Kustanovich V, Lajonchere CM, Lamb JA, Law-Smith M, Leboyer M, Le Couteur A, Leventhal BL, Liu XQ, Lombard F, Lord C, Lotspeich L, Lund SC, Magalhaes TR, Mantoulan C, McDougle CJ, Melhem NM, Merikangas A, Minshew NJ, Mirza GK, Munson J, Noakes C, Nygren G, Papanikolaou K, Pagnamenta AT, Parrini B, Paton T, Pickles A, Posey DJ, Poustka F, Ragoussis J, Regan R, Roberts W, Roeder K, Roge B, Rutter ML, Schlitt S, Shah N, Sheffield VC, Soorya L, Sousa I, Stoppioni V, Sykes N, Tancredi R, Thompson AP, Thomson S, Tryfon A, Tsiantis J, Van Engeland H, Vincent JB, Volkmar F, Vorstman JA, Wallace S, Wing K, Wittemeyer K, Wood S, Zurawiecki D, Zwaigenbaum L, Bailey AJ, Battaglia A, Cantor RM, Coon H, Cuccaro ML, Dawson G, Ennis S, Freitag CM, Geschwind DH, Haines JL, Klauck SM, McMahon WM, Maestrini E, Miller J, Monaco AP, Nelson SF, Nurnberger JI Jr, Oliveira G, Parr JR, Pericak-Vance MA, Piven J, Schellenberg GD, Scherer SW, Vicente AM, Wassink TH, Wijsman EM, Betancur C, Buxbaum JD, Cook EH, Gallagher L, Gill M, Hallmayer J, Paterson AD, Sutcliffe JS, Szatmari P, Vieland VJ, Hakonarson H, and Devlin B

Subjects
Alleles, Child, Child Development Disorders, Pervasive physiopathology, Female, Gene Frequency, Genotype, Humans, Language Development, Male, Polymorphism, Single Nucleotide, Risk Factors, Child Development Disorders, Pervasive genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Membrane Proteins genetics, Nerve Tissue Proteins genetics
Abstract

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.

Published
2012
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2. Individual common variants exert weak effects on the risk for autism spectrum disorders

Author

Anney, Richard, Klei, Lambertus, Pinto, Dalila, Almeida, Joana, Bacchelli, Elena, Baird, Gillian, Bolshakova, Nadia, Bölte, Sven, Bolton, Patrick F, Bourgeron, Thomas, Brennan, Sean, Brian, Jessica, Casey, Jillian, Conroy, Judith, Correia, Catarina, Corsello, Christina, Crawford, Emily L, de Jonge, Maretha, Delorme, Richard, Duketis, Eftichia, Duque, Frederico, Estes, Annette, Farrar, Penny, Fernandez, Bridget A, Folstein, Susan E, Fombonne, Eric, Gilbert, John, Gillberg, Christopher, Glessner, Joseph T, Green, Andrew, Green, Jonathan, Guter, Stephen J, Heron, Elizabeth A, Holt, Richard, Howe, Jennifer L, Hughes, Gillian, Hus, Vanessa, Igliozzi, Roberta, Jacob, Suma, Kenny, Graham P, Kim, Cecilia, Kolevzon, Alexander, Kustanovich, Vlad, Lajonchere, Clara M, Lamb, Janine A, Law-Smith, Miriam, Leboyer, Marion, Le Couteur, Ann, Leventhal, Bennett L, Liu, Xiao-Qing, Lombard, Frances, Lord, Catherine, Lotspeich, Linda, Lund, Sabata C, Magalhaes, Tiago R, Mantoulan, Carine, McDougle, Christopher J, Melhem, Nadine M, Merikangas, Alison, Minshew, Nancy J, Mirza, Ghazala K, Munson, Jeff, Noakes, Carolyn, Nygren, Gudrun, Papanikolaou, Katerina, Pagnamenta, Alistair T, Parrini, Barbara, Paton, Tara, Pickles, Andrew, Posey, David J, Poustka, Fritz, Ragoussis, Jiannis, Regan, Regina, Roberts, Wendy, Roeder, Kathryn, Roge, Bernadette, Rutter, Michael L, Schlitt, Sabine, Shah, Naisha, Sheffield, Val C, Soorya, Latha, Sousa, Inês, Stoppioni, Vera, Sykes, Nuala, Tancredi, Raffaella, Thompson, Ann P, Thomson, Susanne, Tryfon, Ana, Tsiantis, John, Van Engeland, Herman, Vincent, John B, Volkmar, Fred, Vorstman, JAS, Wallace, Simon, Wing, Kirsty, Wittemeyer, Kerstin, Wood, Shawn, Zurawiecki, Danielle, Zwaigenbaum, Lonnie, and Bailey, Anthony J

Subjects
Male, Child Development Disorders, Genotype, Autism, Intellectual and Developmental Disabilities (IDD), Nerve Tissue Proteins, Language Development, Medical and Health Sciences, Gene Frequency, Risk Factors, Clinical Research, mental disorders, Behavioral and Social Science, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Polymorphism, Aetiology, Child, Alleles, Pervasive, Pediatric, Genetics & Heredity, Prevention, Human Genome, Membrane Proteins, Single Nucleotide, Biological Sciences, Brain Disorders, Mental Health, Female, Genome-Wide Association Study
Abstract

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.

Published
2012

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