Common genetic variants, acting additively, are a major source of risk for autism / Lambertus KLEI in Molecular Autism, (October 2012)  

Public ISBD [article]  inMolecular Autism > (October 2012) . - 13 p. Titre : Common genetic variants, acting additively, are a major source of risk for autism Type de document : Texte imprimé et/ou numérique Auteurs : Lambertus KLEI, Auteur ; Stephan J. SANDERS, Auteur ; Michael T. MURTHA, Auteur ; Vanessa HUS, Auteur ; Jennifer K. LOWE, Auteur ; A. J. WILLSEY, Auteur ; Daniel MORENO DE LUCA, Auteur ; Timothy W. YU, Auteur ; Eric FOMBONNE, Auteur ; Daniel H. GESCHWIND, Auteur ; Dorothy E. GRICE, Auteur ; David H. LEDBETTER, Auteur ; Catherine LORD, Auteur ; Shrikant M. MANE, Auteur ; Christa L. MARTIN, Auteur ; Donna M. MARTIN, Auteur ; Eric M. MORROW, Auteur ; Christopher A. WALSH, Auteur ; Nadine M. MELHEM, Auteur ; Pauline CHASTE, Auteur ; James S. SUTCLIFFE, Auteur ; Matthew W. STATE, Auteur ; Edwin H. Jr COOK, Auteur ; Kathryn ROEDER, Auteur ; Bernie DEVLIN, Auteur Année de publication : 2012 Article en page(s) : 13 p. Langues : Anglais (eng) Mots-clés : Narrow-sense heritability  Multiplex  Simplex  Quantitative genetics Index. décimale : PER Périodiques Résumé : Background Autism spectrum disorders (ASD) are early onset neurodevelopmental syndromes typified by impairments in reciprocal social interaction and communication, accompanied by restricted and repetitive behaviors. While rare and especially de novo genetic variation are known to affect liability, whether common genetic polymorphism plays a substantial role is an open question and the relative contribution of genes and environment is contentious. It is probable that the relative contributions of rare and common variation, as well as environment, differs between ASD families having only a single affected individual (simplex) versus multiplex families who have two or more affected individuals. Methods By using quantitative genetics techniques and the contrast of ASD subjects to controls, we estimate what portion of liability can be explained by additive genetic effects, known as narrow-sense heritability. We evaluate relatives of ASD subjects using the same methods to evaluate the assumptions of the additive model and partition families by simplex/multiplex status to determine how heritability changes with status. Results By analyzing common variation throughout the genome, we show that common genetic polymorphism exerts substantial additive genetic effects on ASD liability and that simplex/multiplex family status has an impact on the identified composition of that risk. As a fraction of the total variation in liability, the estimated narrow-sense heritability exceeds 60% for ASD individuals from multiplex families and is approximately 40% for simplex families. By analyzing parents, unaffected siblings and alleles not transmitted from parents to their affected children, we conclude that the data for simplex ASD families follow the expectation for additive models closely. The data from multiplex families deviate somewhat from an additive model, possibly due to parental assortative mating. Conclusions Our results, when viewed in the context of results from genome-wide association studies, demonstrate that a myriad of common variants of very small effect impacts ASD liability. En ligne : http://dx.doi.org/10.1186/2040-2392-3-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=202 [article] Common genetic variants, acting additively, are a major source of risk for autism [Texte imprimé et/ou numérique] / Lambertus KLEI, Auteur ; Stephan J. SANDERS, Auteur ; Michael T. MURTHA, Auteur ; Vanessa HUS, Auteur ; Jennifer K. LOWE, Auteur ; A. J. WILLSEY, Auteur ; Daniel MORENO DE LUCA, Auteur ; Timothy W. YU, Auteur ; Eric FOMBONNE, Auteur ; Daniel H. GESCHWIND, Auteur ; Dorothy E. GRICE, Auteur ; David H. LEDBETTER, Auteur ; Catherine LORD, Auteur ; Shrikant M. MANE, Auteur ; Christa L. MARTIN, Auteur ; Donna M. MARTIN, Auteur ; Eric M. MORROW, Auteur ; Christopher A. WALSH, Auteur ; Nadine M. MELHEM, Auteur ; Pauline CHASTE, Auteur ; James S. SUTCLIFFE, Auteur ; Matthew W. STATE, Auteur ; Edwin H. Jr COOK, Auteur ; Kathryn ROEDER, Auteur ; Bernie DEVLIN, Auteur . - 2012 . - 13 p. Langues : Anglais (eng) in Molecular Autism > (October 2012) . - 13 p. Mots-clés : Narrow-sense heritability  Multiplex  Simplex  Quantitative genetics Index. décimale : PER Périodiques Résumé : Background Autism spectrum disorders (ASD) are early onset neurodevelopmental syndromes typified by impairments in reciprocal social interaction and communication, accompanied by restricted and repetitive behaviors. While rare and especially de novo genetic variation are known to affect liability, whether common genetic polymorphism plays a substantial role is an open question and the relative contribution of genes and environment is contentious. It is probable that the relative contributions of rare and common variation, as well as environment, differs between ASD families having only a single affected individual (simplex) versus multiplex families who have two or more affected individuals. Methods By using quantitative genetics techniques and the contrast of ASD subjects to controls, we estimate what portion of liability can be explained by additive genetic effects, known as narrow-sense heritability. We evaluate relatives of ASD subjects using the same methods to evaluate the assumptions of the additive model and partition families by simplex/multiplex status to determine how heritability changes with status. Results By analyzing common variation throughout the genome, we show that common genetic polymorphism exerts substantial additive genetic effects on ASD liability and that simplex/multiplex family status has an impact on the identified composition of that risk. As a fraction of the total variation in liability, the estimated narrow-sense heritability exceeds 60% for ASD individuals from multiplex families and is approximately 40% for simplex families. By analyzing parents, unaffected siblings and alleles not transmitted from parents to their affected children, we conclude that the data for simplex ASD families follow the expectation for additive models closely. The data from multiplex families deviate somewhat from an additive model, possibly due to parental assortative mating. Conclusions Our results, when viewed in the context of results from genome-wide association studies, demonstrate that a myriad of common variants of very small effect impacts ASD liability. En ligne : http://dx.doi.org/10.1186/2040-2392-3-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=202

DAWN: a framework to identify autism genes and subnetworks using gene expression and genetics / Li LIU in Molecular Autism, (March 2014)  

Public ISBD [article]  inMolecular Autism > (March 2014) . - p.1-18 Titre : DAWN: a framework to identify autism genes and subnetworks using gene expression and genetics Type de document : Texte imprimé et/ou numérique Auteurs : Li LIU, Auteur ; Jing LEI, Auteur ; Stephan J. SANDERS, Auteur ; Arthur Jeremy WILLSEY, Auteur ; Yan KOU, Auteur ; Abdullah Ercument CICEK, Auteur ; Lambertus KLEI, Auteur ; Cong LU, Auteur ; Xin HE, Auteur ; Mingfeng LI, Auteur ; Rebecca A. MUHLE, Auteur ; Avi MA’AYAN, Auteur ; James P. NOONAN, Auteur ; Nenad ŠESTAN, Auteur ; Kathryn A. MCFADDEN, Auteur ; Matthew W. STATE, Auteur ; Joseph D. BUXBAUM, Auteur ; Bernie DEVLIN, Auteur ; Kathryn ROEDER, Auteur Article en page(s) : p.1-18 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : De novo loss-of-function (dnLoF) mutations are found twofold more often in autism spectrum disorder (ASD) probands than their unaffected siblings. Multiple independent dnLoF mutations in the same gene implicate the gene in risk and hence provide a systematic, albeit arduous, path forward for ASD genetics. It is likely that using additional non-genetic data will enhance the ability to identify ASD genes. En ligne : http://dx.doi.org/10.1186/2040-2392-5-22 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=276 [article] DAWN: a framework to identify autism genes and subnetworks using gene expression and genetics [Texte imprimé et/ou numérique] / Li LIU, Auteur ; Jing LEI, Auteur ; Stephan J. SANDERS, Auteur ; Arthur Jeremy WILLSEY, Auteur ; Yan KOU, Auteur ; Abdullah Ercument CICEK, Auteur ; Lambertus KLEI, Auteur ; Cong LU, Auteur ; Xin HE, Auteur ; Mingfeng LI, Auteur ; Rebecca A. MUHLE, Auteur ; Avi MA’AYAN, Auteur ; James P. NOONAN, Auteur ; Nenad ŠESTAN, Auteur ; Kathryn A. MCFADDEN, Auteur ; Matthew W. STATE, Auteur ; Joseph D. BUXBAUM, Auteur ; Bernie DEVLIN, Auteur ; Kathryn ROEDER, Auteur . - p.1-18. Langues : Anglais (eng) in Molecular Autism > (March 2014) . - p.1-18 Index. décimale : PER Périodiques Résumé : De novo loss-of-function (dnLoF) mutations are found twofold more often in autism spectrum disorder (ASD) probands than their unaffected siblings. Multiple independent dnLoF mutations in the same gene implicate the gene in risk and hence provide a systematic, albeit arduous, path forward for ASD genetics. It is likely that using additional non-genetic data will enhance the ability to identify ASD genes. En ligne : http://dx.doi.org/10.1186/2040-2392-5-22 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=276

De novo missense variants disrupting protein-protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types / Siwei CHEN in Molecular Autism, 11 (2020)  

Public ISBD [article]  inMolecular Autism > 11 (2020) . - 76 p. Titre : De novo missense variants disrupting protein-protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types Type de document : Texte imprimé et/ou numérique Auteurs : Siwei CHEN, Auteur ; Jiebiao WANG, Auteur ; Ercument CICEK, Auteur ; Kathryn ROEDER, Auteur ; Haiyuan YU, Auteur ; Bernie DEVLIN, Auteur Article en page(s) : 76 p. Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Cell-type-specific transcriptome  De novo missense variation  Protein–protein interaction Index. décimale : PER Périodiques Résumé : BACKGROUND: Whole-exome sequencing studies have been useful for identifying genes that, when mutated, affect risk for autism spectrum disorder (ASD). Nonetheless, the association signal primarily arises from de novo protein-truncating variants, as opposed to the more common missense variants. Despite their commonness in humans, determining which missense variants affect phenotypes and how remains a challenge. We investigate the functional relevance of de novo missense variants, specifically whether they are likely to disrupt protein interactions, and nominate novel genes in risk for ASD through integrated genomic, transcriptomic, and proteomic analyses. METHODS: Utilizing our previous interactome perturbation predictor, we identify a set of missense variants that are likely disruptive to protein-protein interactions. For genes encoding the disrupted interactions, we evaluate their expression patterns across developing brains and within specific cell types, using both bulk and inferred cell-type-specific brain transcriptomes. Connecting all disrupted pairs of proteins, we construct an "ASD disrupted network." Finally, we integrate protein interactions and cell-type-specific co-expression networks together with published association data to implicate novel genes in ASD risk in a cell-type-specific manner. RESULTS: Extending earlier work, we show that de novo missense variants that disrupt protein interactions are enriched in individuals with ASD, often affecting hub proteins and disrupting hub interactions. Genes encoding disrupted complementary interactors tend to be risk genes, and an interaction network built from these proteins is enriched for ASD proteins. Consistent with other studies, genes identified by disrupted protein interactions are expressed early in development and in excitatory and inhibitory neuronal lineages. Using inferred gene co-expression for three neuronal cell types-excitatory, inhibitory, and neural progenitor-we implicate several hundred genes in risk (FDR?[Formula: see text]0.05),?~?60% novel, with characteristics of genuine ASD genes. Across cell types, these genes affect neuronal morphogenesis and neuronal communication, while neural progenitor cells show strong enrichment for development of the limbic system. LIMITATIONS: Some analyses use the imperfect guilt-by-association principle; results are statistical, not functional. CONCLUSIONS: Disrupted protein interactions identify gene sets involved in risk for ASD. Their gene expression during brain development and within cell types highlights how they relate to ASD. En ligne : http://dx.doi.org/10.1186/s13229-020-00386-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=433 [article] De novo missense variants disrupting protein-protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types [Texte imprimé et/ou numérique] / Siwei CHEN, Auteur ; Jiebiao WANG, Auteur ; Ercument CICEK, Auteur ; Kathryn ROEDER, Auteur ; Haiyuan YU, Auteur ; Bernie DEVLIN, Auteur . - 76 p. Langues : Anglais (eng) in Molecular Autism > 11 (2020) . - 76 p. Mots-clés : Autism spectrum disorder  Cell-type-specific transcriptome  De novo missense variation  Protein–protein interaction Index. décimale : PER Périodiques Résumé : BACKGROUND: Whole-exome sequencing studies have been useful for identifying genes that, when mutated, affect risk for autism spectrum disorder (ASD). Nonetheless, the association signal primarily arises from de novo protein-truncating variants, as opposed to the more common missense variants. Despite their commonness in humans, determining which missense variants affect phenotypes and how remains a challenge. We investigate the functional relevance of de novo missense variants, specifically whether they are likely to disrupt protein interactions, and nominate novel genes in risk for ASD through integrated genomic, transcriptomic, and proteomic analyses. METHODS: Utilizing our previous interactome perturbation predictor, we identify a set of missense variants that are likely disruptive to protein-protein interactions. For genes encoding the disrupted interactions, we evaluate their expression patterns across developing brains and within specific cell types, using both bulk and inferred cell-type-specific brain transcriptomes. Connecting all disrupted pairs of proteins, we construct an "ASD disrupted network." Finally, we integrate protein interactions and cell-type-specific co-expression networks together with published association data to implicate novel genes in ASD risk in a cell-type-specific manner. RESULTS: Extending earlier work, we show that de novo missense variants that disrupt protein interactions are enriched in individuals with ASD, often affecting hub proteins and disrupting hub interactions. Genes encoding disrupted complementary interactors tend to be risk genes, and an interaction network built from these proteins is enriched for ASD proteins. Consistent with other studies, genes identified by disrupted protein interactions are expressed early in development and in excitatory and inhibitory neuronal lineages. Using inferred gene co-expression for three neuronal cell types-excitatory, inhibitory, and neural progenitor-we implicate several hundred genes in risk (FDR?[Formula: see text]0.05),?~?60% novel, with characteristics of genuine ASD genes. Across cell types, these genes affect neuronal morphogenesis and neuronal communication, while neural progenitor cells show strong enrichment for development of the limbic system. LIMITATIONS: Some analyses use the imperfect guilt-by-association principle; results are statistical, not functional. CONCLUSIONS: Disrupted protein interactions identify gene sets involved in risk for ASD. Their gene expression during brain development and within cell types highlights how they relate to ASD. En ligne : http://dx.doi.org/10.1186/s13229-020-00386-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=433

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