An X chromosome-wide association study in autism families identifies TBL1X as a novel autism spectrum disorder candidate gene in males / Ren-Hua CHUNG in Molecular Autism, (November 2011)  

Public ISBD [article]  inMolecular Autism > (November 2011) . - 10 p. Titre : An X chromosome-wide association study in autism families identifies TBL1X as a novel autism spectrum disorder candidate gene in males Type de document : Texte imprimé et/ou numérique Auteurs : Ren-Hua CHUNG, Auteur ; Deqiong MA, Auteur ; Kai WANG, Auteur ; Dale HEDGES, Auteur ; James M. JAWORSKI, Auteur ; John R. GILBERT, Auteur ; Michael L. CUCCARO, Auteur ; Harry H. WRIGHT, Auteur ; Ruth K. ABRAMSON, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Gerard SCHELLENBERG, Auteur ; Hakon HAKONARSON, Auteur ; Jonathan L. HAINES, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur ; Eden R. MARTIN, Auteur Année de publication : 2011 Article en page(s) : 10 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : BACKGROUND:Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with a strong genetic component. The skewed prevalence toward males and evidence suggestive of linkage to the X chromosome in some studies suggest the presence of X-linked susceptibility genes in people with ASD.METHODS:We analyzed genome-wide association study (GWAS) data on the X chromosome in three independent autism GWAS data sets: two family data sets and one case-control data set. We performed meta- and joint analyses on the combined family and case-control data sets. In addition to the meta- and joint analyses, we performed replication analysis by using the two family data sets as a discovery data set and the case-control data set as a validation data set.RESULTS:One SNP, rs17321050, in the transducin beta-like 1X-linked (TBL1X) gene [OMIM:300196] showed chromosome-wide significance in the meta-analysis (P value = 4.86 x 10-6) and joint analysis (P value = 4.53 x 10-6) in males. The SNP was also close to the replication threshold of 0.0025 in the discovery data set (P = 5.89 x 10-3) and passed the replication threshold in the validation data set (P = 2.56 x 10-4). Two other SNPs in the same gene in linkage disequilibrium with rs17321050 also showed significance close to the chromosome-wide threshold in the meta-analysis.CONCLUSIONS:TBL1X is in the Wnt signaling pathway, which has previously been implicated as having a role in autism. Deletions in the Xp22.2 to Xp22.3 region containing TBL1X and surrounding genes are associated with several genetic syndromes that include intellectual disability and autistic features. Our results, based on meta-analysis, joint analysis and replication analysis, suggest that TBL1X may play a role in ASD risk. En ligne : http://dx.doi.org/10.1186/2040-2392-2-18 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=149 [article] An X chromosome-wide association study in autism families identifies TBL1X as a novel autism spectrum disorder candidate gene in males [Texte imprimé et/ou numérique] / Ren-Hua CHUNG, Auteur ; Deqiong MA, Auteur ; Kai WANG, Auteur ; Dale HEDGES, Auteur ; James M. JAWORSKI, Auteur ; John R. GILBERT, Auteur ; Michael L. CUCCARO, Auteur ; Harry H. WRIGHT, Auteur ; Ruth K. ABRAMSON, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Gerard SCHELLENBERG, Auteur ; Hakon HAKONARSON, Auteur ; Jonathan L. HAINES, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur ; Eden R. MARTIN, Auteur . - 2011 . - 10 p. Langues : Anglais (eng) in Molecular Autism > (November 2011) . - 10 p. Index. décimale : PER Périodiques Résumé : BACKGROUND:Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with a strong genetic component. The skewed prevalence toward males and evidence suggestive of linkage to the X chromosome in some studies suggest the presence of X-linked susceptibility genes in people with ASD.METHODS:We analyzed genome-wide association study (GWAS) data on the X chromosome in three independent autism GWAS data sets: two family data sets and one case-control data set. We performed meta- and joint analyses on the combined family and case-control data sets. In addition to the meta- and joint analyses, we performed replication analysis by using the two family data sets as a discovery data set and the case-control data set as a validation data set.RESULTS:One SNP, rs17321050, in the transducin beta-like 1X-linked (TBL1X) gene [OMIM:300196] showed chromosome-wide significance in the meta-analysis (P value = 4.86 x 10-6) and joint analysis (P value = 4.53 x 10-6) in males. The SNP was also close to the replication threshold of 0.0025 in the discovery data set (P = 5.89 x 10-3) and passed the replication threshold in the validation data set (P = 2.56 x 10-4). Two other SNPs in the same gene in linkage disequilibrium with rs17321050 also showed significance close to the chromosome-wide threshold in the meta-analysis.CONCLUSIONS:TBL1X is in the Wnt signaling pathway, which has previously been implicated as having a role in autism. Deletions in the Xp22.2 to Xp22.3 region containing TBL1X and surrounding genes are associated with several genetic syndromes that include intellectual disability and autistic features. Our results, based on meta-analysis, joint analysis and replication analysis, suggest that TBL1X may play a role in ASD risk. En ligne : http://dx.doi.org/10.1186/2040-2392-2-18 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=149

Exome sequencing of extended families with autism reveals genes shared across neurodevelopmental and neuropsychiatric disorders / Holly N. CUKIER in Molecular Autism, (January 2014)  

Public ISBD [article]  inMolecular Autism > (January 2014) Titre : Exome sequencing of extended families with autism reveals genes shared across neurodevelopmental and neuropsychiatric disorders Type de document : Texte imprimé et/ou numérique Auteurs : Holly N. CUKIER, Auteur ; Nicole DUEKER, Auteur ; Susan SLIFER, Auteur ; Joycelyn LEE, Auteur ; Patrice L. WHITEHEAD, Auteur ; Eminisha LALANNE, Auteur ; Natalia LEYVA, Auteur ; Ioanna KONIDARI, Auteur ; Ryan GENTRY, Auteur ; William HULME, Auteur ; Derek BOOVEN, Auteur ; Vera MAYO, Auteur ; Natalia HOFMANN, Auteur ; Michael SCHMIDT, Auteur ; Eden MARTIN, Auteur ; Jonathan L. HAINES, Auteur ; Michael L. CUCCARO, Auteur ; John GILBERT, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASDs) comprise a range of neurodevelopmental conditions of varying severity, characterized by marked qualitative difficulties in social relatedness, communication, and behavior. Despite overwhelming evidence of high heritability, results from genetic studies to date show that ASD etiology is extremely heterogeneous and only a fraction of autism genes have been discovered. To help unravel this genetic complexity, we performed whole exome sequencing on 100 ASD individuals from 40 families with multiple distantly related affected individuals. All families contained a minimum of one pair of ASD cousins. Each individual was captured with the Agilent SureSelect Human All Exon kit, sequenced on the Illumina Hiseq 2000, and the resulting data processed and annotated with Burrows-Wheeler Aligner (BWA), Genome Analysis Toolkit (GATK), and SeattleSeq. Genotyping information on each family was utilized in order to determine genomic regions that were identical by descent (IBD). Variants identified by exome sequencing which occurred in IBD regions and present in all affected individuals within each family were then evaluated to determine which may potentially be disease related. Nucleotide alterations that were novel and rare (minor allele frequency, MAF, less than 0.05) and predicted to be detrimental, either by altering amino acids or splicing patterns, were prioritized. We identified numerous potentially damaging, ASD associated risk variants in genes previously unrelated to autism. A subset of these genes has been implicated in other neurobehavioral disorders including depression (SLIT3), epilepsy (CLCN2, PRICKLE1), intellectual disability (AP4M1), schizophrenia (WDR60), and Tourette syndrome (OFCC1). Additional alterations were found in previously reported autism candidate genes, including three genes with alterations in multiple families (CEP290, CSMD1, FAT1, and STXBP5). Compiling a list of ASD candidate genes from the literature, we determined that variants occurred in ASD candidate genes 1.65 times more frequently than in random genes captured by exome sequencing (P=8.55 x 10-5). By studying these unique pedigrees, we have identified novel DNA variations related to ASD, demonstrated that exome sequencing in extended families is a powerful tool for ASD candidate gene discovery, and provided further evidence of an underlying genetic component to a wide range of neurodevelopmental and neuropsychiatric diseases. En ligne : http://dx.doi.org/10.1186/2040-2392-5-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=227 [article] Exome sequencing of extended families with autism reveals genes shared across neurodevelopmental and neuropsychiatric disorders [Texte imprimé et/ou numérique] / Holly N. CUKIER, Auteur ; Nicole DUEKER, Auteur ; Susan SLIFER, Auteur ; Joycelyn LEE, Auteur ; Patrice L. WHITEHEAD, Auteur ; Eminisha LALANNE, Auteur ; Natalia LEYVA, Auteur ; Ioanna KONIDARI, Auteur ; Ryan GENTRY, Auteur ; William HULME, Auteur ; Derek BOOVEN, Auteur ; Vera MAYO, Auteur ; Natalia HOFMANN, Auteur ; Michael SCHMIDT, Auteur ; Eden MARTIN, Auteur ; Jonathan L. HAINES, Auteur ; Michael L. CUCCARO, Auteur ; John GILBERT, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur. Langues : Anglais (eng) in Molecular Autism > (January 2014) Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASDs) comprise a range of neurodevelopmental conditions of varying severity, characterized by marked qualitative difficulties in social relatedness, communication, and behavior. Despite overwhelming evidence of high heritability, results from genetic studies to date show that ASD etiology is extremely heterogeneous and only a fraction of autism genes have been discovered. To help unravel this genetic complexity, we performed whole exome sequencing on 100 ASD individuals from 40 families with multiple distantly related affected individuals. All families contained a minimum of one pair of ASD cousins. Each individual was captured with the Agilent SureSelect Human All Exon kit, sequenced on the Illumina Hiseq 2000, and the resulting data processed and annotated with Burrows-Wheeler Aligner (BWA), Genome Analysis Toolkit (GATK), and SeattleSeq. Genotyping information on each family was utilized in order to determine genomic regions that were identical by descent (IBD). Variants identified by exome sequencing which occurred in IBD regions and present in all affected individuals within each family were then evaluated to determine which may potentially be disease related. Nucleotide alterations that were novel and rare (minor allele frequency, MAF, less than 0.05) and predicted to be detrimental, either by altering amino acids or splicing patterns, were prioritized. We identified numerous potentially damaging, ASD associated risk variants in genes previously unrelated to autism. A subset of these genes has been implicated in other neurobehavioral disorders including depression (SLIT3), epilepsy (CLCN2, PRICKLE1), intellectual disability (AP4M1), schizophrenia (WDR60), and Tourette syndrome (OFCC1). Additional alterations were found in previously reported autism candidate genes, including three genes with alterations in multiple families (CEP290, CSMD1, FAT1, and STXBP5). Compiling a list of ASD candidate genes from the literature, we determined that variants occurred in ASD candidate genes 1.65 times more frequently than in random genes captured by exome sequencing (P=8.55 x 10-5). By studying these unique pedigrees, we have identified novel DNA variations related to ASD, demonstrated that exome sequencing in extended families is a powerful tool for ASD candidate gene discovery, and provided further evidence of an underlying genetic component to a wide range of neurodevelopmental and neuropsychiatric diseases. En ligne : http://dx.doi.org/10.1186/2040-2392-5-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=227

Identification of chromosome 7 inversion breakpoints in an autistic family narrows candidate region for autism susceptibility / Holly N. CUKIER in Autism Research, 2-5 (October 2009)  

Public ISBD [article]  inAutism Research > 2-5 (October 2009) . - p.258-266 Titre : Identification of chromosome 7 inversion breakpoints in an autistic family narrows candidate region for autism susceptibility Type de document : Texte imprimé et/ou numérique Auteurs : Holly N. CUKIER, Auteur ; Michael L. CUCCARO, Auteur ; John R. GILBERT, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur ; David A. SKAAR, Auteur ; Melissa Y. RAYNER-EVANS, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; James M. JAWORSKI, Auteur Année de publication : 2009 Article en page(s) : p.258-266 Langues : Anglais (eng) Mots-clés : molecular-genetics paracentric-inversion fluorescent-in-situ-hybridization-(FISH) genome-wide-association-study-(GWAS) Index. décimale : PER Périodiques Résumé : Chromosomal breaks and rearrangements have been observed in conjunction with autism and autistic spectrum disorders. A chromosomal inversion has been previously reported in autistic siblings, spanning the region from approximately 7q22.1 to 7q31. This family is distinguished by having multiple individuals with autism and associated disabilities. The region containing the inversion has been strongly implicated in autism by multiple linkage studies, and has been particularly associated with language defects in autism as well as in other disorders with language components. Mapping of the inversion breakpoints by FISH has localized the inversion to the region spanning approximately 99-108.75 Mb of chromosome 7. The proximal breakpoint has the potential to disrupt either the coding sequence or regulatory regions of a number of cytochrome P450 genes while the distal region falls in a relative gene desert. Copy number variant analysis of the breakpoint regions detected no duplication or deletion that could clearly be associated with disease status. Association analysis in our autism data set using single nucleotide polymorphisms located near the breakpoints showed no significant association with proximal breakpoint markers, but has identified markers near the distal breakpoint (108-110 Mb) with significant associations to autism. The chromosomal abnormality in this family strengthens the case for an autism susceptibility gene in the chromosome 7q22-31 region and targets a candidate region for further investigation. En ligne : http://dx.doi.org/10.1002/aur.96 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=938 [article] Identification of chromosome 7 inversion breakpoints in an autistic family narrows candidate region for autism susceptibility [Texte imprimé et/ou numérique] / Holly N. CUKIER, Auteur ; Michael L. CUCCARO, Auteur ; John R. GILBERT, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur ; David A. SKAAR, Auteur ; Melissa Y. RAYNER-EVANS, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; James M. JAWORSKI, Auteur . - 2009 . - p.258-266. Langues : Anglais (eng) in Autism Research > 2-5 (October 2009) . - p.258-266 Mots-clés : molecular-genetics paracentric-inversion fluorescent-in-situ-hybridization-(FISH) genome-wide-association-study-(GWAS) Index. décimale : PER Périodiques Résumé : Chromosomal breaks and rearrangements have been observed in conjunction with autism and autistic spectrum disorders. A chromosomal inversion has been previously reported in autistic siblings, spanning the region from approximately 7q22.1 to 7q31. This family is distinguished by having multiple individuals with autism and associated disabilities. The region containing the inversion has been strongly implicated in autism by multiple linkage studies, and has been particularly associated with language defects in autism as well as in other disorders with language components. Mapping of the inversion breakpoints by FISH has localized the inversion to the region spanning approximately 99-108.75 Mb of chromosome 7. The proximal breakpoint has the potential to disrupt either the coding sequence or regulatory regions of a number of cytochrome P450 genes while the distal region falls in a relative gene desert. Copy number variant analysis of the breakpoint regions detected no duplication or deletion that could clearly be associated with disease status. Association analysis in our autism data set using single nucleotide polymorphisms located near the breakpoints showed no significant association with proximal breakpoint markers, but has identified markers near the distal breakpoint (108-110 Mb) with significant associations to autism. The chromosomal abnormality in this family strengthens the case for an autism susceptibility gene in the chromosome 7q22-31 region and targets a candidate region for further investigation. En ligne : http://dx.doi.org/10.1002/aur.96 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=938

A noise-reduction GWAS analysis implicates altered regulation of neurite outgrowth and guidance in autism / John P. HUSSMAN in Molecular Autism, (January 2011)  

Public ISBD [article]  inMolecular Autism > (January 2011) . - 16 p. Titre : A noise-reduction GWAS analysis implicates altered regulation of neurite outgrowth and guidance in autism Type de document : Texte imprimé et/ou numérique Auteurs : John P. HUSSMAN, Auteur ; Ren-Hua CHUNG, Auteur ; Anthony J. GRISWOLD, Auteur ; James M. JAWORSKI, Auteur ; Daria SALYAKINA, Auteur ; Deqiong MA, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Jeffery M. VANCE, Auteur ; Eden R. MARTIN, Auteur ; Michael L. CUCCARO, Auteur ; John R. GILBERT, Auteur ; Jonathan L. HAINES, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur Année de publication : 2011 Article en page(s) : 16 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Genome-wide Association Studies (GWAS) have proved invaluable for the identification of disease susceptibility genes. However, the prioritization of candidate genes and regions for follow-up studies often proves difficult due to false-positive associations caused by statistical noise and multiple-testing. In order to address this issue, we propose the novel GWAS noise reduction (GWAS-NR) method as a way to increase the power to detect true associations in GWAS, particularly in complex diseases such as autism. Methods GWAS-NR utilizes a linear filter to identify genomic regions demonstrating correlation among association signals in multiple datasets. We used computer simulations to assess the ability of GWAS-NR to detect association against the commonly used joint analysis and Fisher's methods. Furthermore, we applied GWAS-NR to a family-based autism GWAS of 597 families and a second existing autism GWAS of 696 families from the Autism Genetic Resource Exchange (AGRE) to arrive at a compendium of autism candidate genes. These genes were manually annotated and classified by a literature review and functional grouping in order to reveal biological pathways which might contribute to autism aetiology. Results Computer simulations indicate that GWAS-NR achieves a significantly higher classification rate for true positive association signals than either the joint analysis or Fisher's methods and that it can also achieve this when there is imperfect marker overlap across datasets or when the closest disease-related polymorphism is not directly typed. In two autism datasets, GWAS-NR analysis resulted in 1535 significant linkage disequilibrium (LD) blocks overlapping 431 unique reference sequencing (RefSeq) genes. Moreover, we identified the nearest RefSeq gene to the non-gene overlapping LD blocks, producing a final candidate set of 860 genes. Functional categorization of these implicated genes indicates that a significant proportion of them cooperate in a coherent pathway that regulates the directional protrusion of axons and dendrites to their appropriate synaptic targets. Conclusions As statistical noise is likely to particularly affect studies of complex disorders, where genetic heterogeneity or interaction between genes may confound the ability to detect association, GWAS-NR offers a powerful method for prioritizing regions for follow-up studies. Applying this method to autism datasets, GWAS-NR analysis indicates that a large subset of genes involved in the outgrowth and guidance of axons and dendrites is implicated in the aetiology of autism. En ligne : http://dx.doi.org/10.1186/2040-2392-2-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=121 [article] A noise-reduction GWAS analysis implicates altered regulation of neurite outgrowth and guidance in autism [Texte imprimé et/ou numérique] / John P. HUSSMAN, Auteur ; Ren-Hua CHUNG, Auteur ; Anthony J. GRISWOLD, Auteur ; James M. JAWORSKI, Auteur ; Daria SALYAKINA, Auteur ; Deqiong MA, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Jeffery M. VANCE, Auteur ; Eden R. MARTIN, Auteur ; Michael L. CUCCARO, Auteur ; John R. GILBERT, Auteur ; Jonathan L. HAINES, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur . - 2011 . - 16 p. Langues : Anglais (eng) in Molecular Autism > (January 2011) . - 16 p. Index. décimale : PER Périodiques Résumé : Background Genome-wide Association Studies (GWAS) have proved invaluable for the identification of disease susceptibility genes. However, the prioritization of candidate genes and regions for follow-up studies often proves difficult due to false-positive associations caused by statistical noise and multiple-testing. In order to address this issue, we propose the novel GWAS noise reduction (GWAS-NR) method as a way to increase the power to detect true associations in GWAS, particularly in complex diseases such as autism. Methods GWAS-NR utilizes a linear filter to identify genomic regions demonstrating correlation among association signals in multiple datasets. We used computer simulations to assess the ability of GWAS-NR to detect association against the commonly used joint analysis and Fisher's methods. Furthermore, we applied GWAS-NR to a family-based autism GWAS of 597 families and a second existing autism GWAS of 696 families from the Autism Genetic Resource Exchange (AGRE) to arrive at a compendium of autism candidate genes. These genes were manually annotated and classified by a literature review and functional grouping in order to reveal biological pathways which might contribute to autism aetiology. Results Computer simulations indicate that GWAS-NR achieves a significantly higher classification rate for true positive association signals than either the joint analysis or Fisher's methods and that it can also achieve this when there is imperfect marker overlap across datasets or when the closest disease-related polymorphism is not directly typed. In two autism datasets, GWAS-NR analysis resulted in 1535 significant linkage disequilibrium (LD) blocks overlapping 431 unique reference sequencing (RefSeq) genes. Moreover, we identified the nearest RefSeq gene to the non-gene overlapping LD blocks, producing a final candidate set of 860 genes. Functional categorization of these implicated genes indicates that a significant proportion of them cooperate in a coherent pathway that regulates the directional protrusion of axons and dendrites to their appropriate synaptic targets. Conclusions As statistical noise is likely to particularly affect studies of complex disorders, where genetic heterogeneity or interaction between genes may confound the ability to detect association, GWAS-NR offers a powerful method for prioritizing regions for follow-up studies. Applying this method to autism datasets, GWAS-NR analysis indicates that a large subset of genes involved in the outgrowth and guidance of axons and dendrites is implicated in the aetiology of autism. En ligne : http://dx.doi.org/10.1186/2040-2392-2-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=121

Targeted massively parallel sequencing of autism spectrum disorder-associated genes in a case control cohort reveals rare loss-of-function risk variants / Anthony J. GRISWOLD in Molecular Autism, (July 2015)  

Public ISBD [article]  inMolecular Autism > (July 2015) . - p.1-11 Titre : Targeted massively parallel sequencing of autism spectrum disorder-associated genes in a case control cohort reveals rare loss-of-function risk variants Type de document : Texte imprimé et/ou numérique Auteurs : Anthony J. GRISWOLD, Auteur ; Nicole D. DUEKER, Auteur ; Derek BOOVEN, Auteur ; Joseph A. RANTUS, Auteur ; James M. JAWORSKI, Auteur ; Susan H. SLIFER, Auteur ; Michael A. SCHMIDT, Auteur ; William HULME, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Michael L. CUCCARO, Auteur ; Eden R. MARTIN, Auteur ; Jonathan L. HAINES, Auteur ; John R. GILBERT, Auteur ; John P. HUSSMAN, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur Article en page(s) : p.1-11 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is highly heritable, yet genome-wide association studies (GWAS), copy number variation screens, and candidate gene association studies have found no single factor accounting for a large percentage of genetic risk. ASD trio exome sequencing studies have revealed genes with recurrent de novo loss-of-function variants as strong risk factors, but there are relatively few recurrently affected genes while as many as 1000 genes are predicted to play a role. As such, it is critical to identify the remaining rare and low-frequency variants contributing to ASD. En ligne : http://dx.doi.org/10.1186/s13229-015-0034-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=277 [article] Targeted massively parallel sequencing of autism spectrum disorder-associated genes in a case control cohort reveals rare loss-of-function risk variants [Texte imprimé et/ou numérique] / Anthony J. GRISWOLD, Auteur ; Nicole D. DUEKER, Auteur ; Derek BOOVEN, Auteur ; Joseph A. RANTUS, Auteur ; James M. JAWORSKI, Auteur ; Susan H. SLIFER, Auteur ; Michael A. SCHMIDT, Auteur ; William HULME, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Michael L. CUCCARO, Auteur ; Eden R. MARTIN, Auteur ; Jonathan L. HAINES, Auteur ; John R. GILBERT, Auteur ; John P. HUSSMAN, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur . - p.1-11. Langues : Anglais (eng) in Molecular Autism > (July 2015) . - p.1-11 Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is highly heritable, yet genome-wide association studies (GWAS), copy number variation screens, and candidate gene association studies have found no single factor accounting for a large percentage of genetic risk. ASD trio exome sequencing studies have revealed genes with recurrent de novo loss-of-function variants as strong risk factors, but there are relatively few recurrently affected genes while as many as 1000 genes are predicted to play a role. As such, it is critical to identify the remaining rare and low-frequency variants contributing to ASD. En ligne : http://dx.doi.org/10.1186/s13229-015-0034-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=277

Variants in several genomic regions associated with asperger disorder / Daria SALYAKINA in Autism Research, 3-6 (December 2010)  

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