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Dive into the research topics where Ruth K. Abramson is active.

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Featured researches published by Ruth K. Abramson.


BMC Medicine | 2009

Genomic and epigenetic evidence for oxytocin receptor deficiency in autism

Simon G. Gregory; Jessica J. Connelly; Aaron J. Towers; Jessica Johnson; Dhani Biscocho; Christina A. Markunas; Carla Lintas; Ruth K. Abramson; Harry H. Wright; Peter Ellis; Cordelia Langford; Gordon Worley; G Robert Delong; Susan K. Murphy; Michael L. Cuccaro; Antonello Persico; Margaret A. Pericak-Vance

BackgroundAutism comprises a spectrum of behavioral and cognitive disturbances of childhood development and is known to be highly heritable. Although numerous approaches have been used to identify genes implicated in the development of autism, less than 10% of autism cases have been attributed to single gene disorders.MethodsWe describe the use of high-resolution genome-wide tilepath microarrays and comparative genomic hybridization to identify copy number variants within 119 probands from multiplex autism families. We next carried out DNA methylation analysis by bisulfite sequencing in a proband and his family, expanding this analysis to methylation analysis of peripheral blood and temporal cortex DNA of autism cases and matched controls from independent datasets. We also assessed oxytocin receptor (OXTR) gene expression within the temporal cortex tissue by quantitative real-time polymerase chain reaction (PCR).ResultsOur analysis revealed a genomic deletion containing the oxytocin receptor gene, OXTR (MIM accession no.: 167055), previously implicated in autism, was present in an autism proband and his mother who exhibits symptoms of obsessive-compulsive disorder. The probands affected sibling did not harbor this deletion but instead may exhibit epigenetic misregulation of this gene through aberrant gene silencing by DNA methylation. Further DNA methylation analysis of the CpG island known to regulate OXTR expression identified several CpG dinucleotides that show independent statistically significant increases in the DNA methylation status in the peripheral blood cells and temporal cortex in independent datasets of individuals with autism as compared to control samples. Associated with the increase in methylation of these CpG dinucleotides is our finding that OXTR mRNA showed decreased expression in the temporal cortex tissue of autism cases matched for age and sex compared to controls.ConclusionTogether, these data provide further evidence for the role of OXTR and the oxytocin signaling pathway in the etiology of autism and, for the first time, implicate the epigenetic regulation of OXTR in the development of the disorder.See the related commentary by Gurrieri and Neri: http://www.biomedcentral.com/1741-7015/7/63


American Journal of Human Genetics | 2003

Fine Mapping of Autistic Disorder to Chromosome 15q11-q13 by Use of Phenotypic Subtypes

Yujun Shao; Michael L. Cuccaro; Elizabeth R. Hauser; Kimberly L. Raiford; M. M. Menold; Chantelle M. Wolpert; Sarah A. Ravan; L. Elston; K. Decena; Shannon L. Donnelly; Ruth K. Abramson; Harry H. Wright; G. R. DeLong; John R. Gilbert; Margaret A. Pericak-Vance

Autistic disorder (AutD) is a complex genetic disease. Available evidence suggests that several genes contribute to the underlying genetic risk for the development of AutD. However, both etiologic heterogeneity and genetic heterogeneity confound the discovery of AutD-susceptibility genes. Chromosome 15q11-q13 has been identified as a strong candidate region on the basis of both the frequent occurrence of chromosomal abnormalities in that region and numerous suggestive linkage and association findings. Ordered-subset analysis (OSA) is a novel statistical method to identify a homogeneous subset of families that contribute to overall linkage at a given chromosomal location and thus to potentially help in the fine mapping and localization of the susceptibility gene within a chromosomal area. For the present analysis, a factor that represents insistence on sameness (IS)--derived from a principal-component factor analysis using data on 221 patients with AutD from the repetitive behaviors/stereotyped patterns domain in the Autism Diagnostic Interview-Revised--was used as a covariate in OSA. Analysis of families sharing high scores on the IS factor increased linkage evidence for the 15q11-q13 region, at the GABRB3 locus, from a LOD score of 1.45 to a LOD score of 4.71. These results narrow our region of interest on chromosome 15 to an area surrounding the gamma-aminobutyric acid-receptor subunit genes, in AutD, and support the hypothesis that the analysis of phenotypic homogeneous subtypes may be a powerful tool for the mapping of disease-susceptibility genes in complex traits.


American Journal of Human Genetics | 2005

Identification of Significant Association and Gene-Gene Interaction of GABA Receptor Subunit Genes in Autism

D. Q. Ma; P. L. Whitehead; M. M. Menold; E. R. Martin; Allison E. Ashley-Koch; H. Mei; Marylyn D. Ritchie; G. R. DeLong; Ruth K. Abramson; Harry H. Wright; Michael L. Cuccaro; John P. Hussman; John R. Gilbert; Margaret A. Pericak-Vance

Autism is a common neurodevelopmental disorder with a significant genetic component. Existing research suggests that multiple genes contribute to autism and that epigenetic effects or gene-gene interactions are likely contributors to autism risk. However, these effects have not yet been identified. Gamma-aminobutyric acid (GABA), the primary inhibitory neurotransmitter in the adult brain, has been implicated in autism etiology. Fourteen known autosomal GABA receptor subunit genes were studied to look for the genes associated with autism and their possible interactions. Single-nucleotide polymorphisms (SNPs) were screened in the following genes: GABRG1, GABRA2, GABRA4, and GABRB1 on chromosome 4p12; GABRB2, GABRA6, GABRA1, GABRG2, and GABRP on 5q34-q35.1; GABRR1 and GABRR2 on 6q15; and GABRA5, GABRB3, and GABRG3 on 15q12. Intronic and/or silent mutation SNPs within each gene were analyzed in 470 white families with autism. Initially, SNPs were used in a family-based study for allelic association analysis--with the pedigree disequilibrium test and the family-based association test--and for genotypic and haplotypic association analysis--with the genotype-pedigree disequilibrium test (geno-PDT), the association in the presence of linkage (APL) test, and the haplotype family-based association test. Next, with the use of five refined independent marker sets, extended multifactor-dimensionality reduction (EMDR) analysis was employed to identify the models with locus joint effects, and interaction was further verified by conditional logistic regression. Significant allelic association was found for markers RS1912960 (in GABRA4; P = .01) and HCV9866022 (in GABRR2; P = .04). The geno-PDT found significant genotypic association for HCV8262334 (in GABRA2), RS1912960 and RS2280073 (in GABRA4), and RS2617503 and RS12187676 (in GABRB2). Consistent with the allelic and genotypic association results, EMDR confirmed the main effect at RS1912960 (in GABRA4). EMDR also identified a significant two-locus gene-gene effect model involving RS1912960 in GABRA4 and RS2351299 in GABRB1. Further support for this two-locus model came from both the multilocus geno-PDT and the APL test, which indicated a common genotype and haplotype combination positively associated with disease. Finally, these results were also consistent with the results from the conditional logistic regression, which confirmed the interaction between GABRA4 and GABRB1 (odds ratio = 2.9 for interaction term; P = .002). Through the convergence of all analyses, we conclude that GABRA4 is involved in the etiology of autism and potentially increases autism risk through interaction with GABRB1. These results support the hypothesis that GABA receptor subunit genes are involved in autism, most likely via complex gene-gene interactions.


Child Psychiatry & Human Development | 2003

Factor Analysis of Restricted and Repetitive Behaviors in Autism Using the Autism Diagnostic Interview-R

Michael L. Cuccaro; Yujan Shao; Janet M. Grubber; Michael Slifer; Chantelle M. Wolpert; Shannon L. Donnelly; Ruth K. Abramson; Sarah A. Ravan; Harry H. Wright; G. Robert DeLong; Margaret A. Pericak-Vance

The current study examined the factor structure of restricted and repetitive behaviors (RRB) in children with autism. Factor extraction procedures of 12 items from the Autism Diagnostic Interview-Revised (ADI-R) were applied in N = 207 individuals with autism. Two interpretable factors were identified: Factor 1—repetitive sensory motor actions and Factor 2—resistance to change. There was a significant negative correlation between an index of level of adaptive functioning and Factor 1. Intraclass correlations were not significant for either factor in a subset of families with two or more siblings with autism (multiplex). No differences in scores were apparent for either factor when multiplex families and families containing only one affected individual with autism (singleton) were compared. RRB in autism are represented by two distinct factors which may reflect two separate groups within autism. Defining subgroups within autism will allow for reduction of clinical heterogeneity and enhance our ability to dissect the genetic etiology of this complex disorder.


Annals of Human Genetics | 2009

A Genome-wide Association Study of Autism Reveals a Common Novel Risk Locus at 5p14.1

Deqiong Ma; Daria Salyakina; James M. Jaworski; Ioanna Konidari; Ashley Andersen; Joshua Hoffman; Susan Slifer; Dale J. Hedges; Holly N. Cukier; Anthony J. Griswold; Jacob L. McCauley; Gary W. Beecham; Harry H. Wright; Ruth K. Abramson; Eden R. Martin; John P. Hussman; John R. Gilbert; Michael L. Cuccaro; Jonathan L. Haines; Margaret A. Pericak-Vance

Although autism is one of the most heritable neuropsychiatric disorders, its underlying genetic architecture has largely eluded description. To comprehensively examine the hypothesis that common variation is important in autism, we performed a genome‐wide association study (GWAS) using a discovery dataset of 438 autistic Caucasian families and the Illumina Human 1M beadchip. 96 single nucleotide polymorphisms (SNPs) demonstrated strong association with autism risk (p‐value < 0.0001). The validation of the top 96 SNPs was performed using an independent dataset of 487 Caucasian autism families genotyped on the 550K Illumina BeadChip. A novel region on chromosome 5p14.1 showed significance in both the discovery and validation datasets. Joint analysis of all SNPs in this region identified 8 SNPs having improved p‐values (3.24E‐04 to 3.40E‐06) than in either dataset alone. Our findings demonstrate that in addition to multiple rare variations, part of the complex genetic architecture of autism involves common variation.


Neurology | 2012

CAG repeat expansion in Huntington disease determines age at onset in a fully dominant fashion

Jong-Min Lee; Eliana Marisa Ramos; Ji Hyun Lee; Tammy Gillis; Jayalakshmi S. Mysore; Michael R. Hayden; Simon C. Warby; Patrick J. Morrison; Martha Nance; Christopher A. Ross; Russell L. Margolis; Ferdinando Squitieri; S. Orobello; S. Di Donato; Estrella Gomez-Tortosa; Carmen Ayuso; Oksana Suchowersky; Ronald J. Trent; Elizabeth McCusker; Andrea Novelletto; Marina Frontali; Randi Jones; Tetsuo Ashizawa; Samuel Frank; Marie Saint-Hilaire; Steven M. Hersch; H.D. Rosas; Diane Lucente; Madeline Harrison; Andrea Zanko

Objective: Age at onset of diagnostic motor manifestations in Huntington disease (HD) is strongly correlated with an expanded CAG trinucleotide repeat. The length of the normal CAG repeat allele has been reported also to influence age at onset, in interaction with the expanded allele. Due to profound implications for disease mechanism and modification, we tested whether the normal allele, interaction between the expanded and normal alleles, or presence of a second expanded allele affects age at onset of HD motor signs. Methods: We modeled natural log-transformed age at onset as a function of CAG repeat lengths of expanded and normal alleles and their interaction by linear regression. Results: An apparently significant effect of interaction on age at motor onset among 4,068 subjects was dependent on a single outlier data point. A rigorous statistical analysis with a well-behaved dataset that conformed to the fundamental assumptions of linear regression (e.g., constant variance and normally distributed error) revealed significance only for the expanded CAG repeat, with no effect of the normal CAG repeat. Ten subjects with 2 expanded alleles showed an age at motor onset consistent with the length of the larger expanded allele. Conclusions: Normal allele CAG length, interaction between expanded and normal alleles, and presence of a second expanded allele do not influence age at onset of motor manifestations, indicating that the rate of HD pathogenesis leading to motor diagnosis is determined by a completely dominant action of the longest expanded allele and as yet unidentified genetic or environmental factors. Neurology® 2012;78:690–695


American Journal of Human Genetics | 2002

Phenotypic Homogeneity Provides Increased Support for Linkage on Chromosome 2 in Autistic Disorder

Yujun Shao; Kimberly L. Raiford; Chantelle M. Wolpert; Heidi Cope; Sarah A. Ravan; Allison Ashley-Koch; Ruth K. Abramson; Harry H. Wright; Robert DeLong; John R. Gilbert; Michael L. Cuccaro; Margaret A. Pericak-Vance

Autistic disorder (AutD) is a neurodevelopmental disorder characterized by significant disturbances in social, communicative, and behavioral functioning. A two-stage genomic screen analysis of 99 families with AutD revealed suggestive evidence for linkage to chromosome 2q (D2S116 nonparametric sib-pair LOD score [MLS] 1.12 at 198 cM). In addition, analysis of linkage disequilibrium for D2S116 showed an allele-specific P value of <.01. Recently, linkage to the same region of 2q was reported in an independent genome screen. This evidence for linkage increased when analysis was restricted to the subset of patients with AutD who had delayed onset (>36 mo) of phrase speech (PSD). We similarly classified our data set of 82 sib pairs with AutD, identifying 45 families with AutD and PSD. Analysis of this PSD subset increased our support for linkage to 2q (MLS 2.86 and HLOD 2.12 for marker D2S116). These data support evidence for a gene on chromosome 2 contributing to risk of AutD, and they suggest that phenotypic homogeneity increases the power to find susceptibility genes for AutD.


Journal of Neurogenetics | 2001

Association Analysis of Chromosome 15 GABAA Receptor Subunit Genes in Autistic Disorder

Marisa M. Menold; Yujun Shao; Chantelle M. Wolpert; Shannon L. Donnelly; Kimberly L. Raiford; Eden R. Martin; Sarah A. Ravan; Ruth K. Abramson; Harry H. Wright; G. Robert DeLong; Michael L. Cuccaro; Margaret A. Pericak-Vance; John R. Gilbert

Gamma-aminobutyric acid (GABA) is the major inhibitory neurotransmitter in the brain, acting via the GABAA receptors. The GABAA receptors are comprised of several different homologous subunits, forming a group of receptors that are both structurally and functionally diverse. Three of the GABAA receptor subunit genes (GABRB3, GABRA5 and GABRG3) form a cluster on chromosome 15q11-q13, in a region that has been genetically associated with autistic disorder (AutD). Based on these data, we examined 16 single nucleotide polymorphisms (SNPs) located within GABRB3, GABRA5 and GABRG3 for linkage disequilibrium (LD) in 226 AutD families (AutD patients and parents). Genotyping was performed using either OLA (oligonucleotide ligation assay), or SSCP (single strand conformation polymorphism) followed by DNA sequencing. We tested for LD using the Pedigree Disequilibrium Test (PDT). PDT results gave significant evidence that AutD is associated with two SNPs located within the GABRG3 gene (exon5_539T/C, p = 0.02 and intron5_687T/C, p = 0.03), suggesting that the GABRG3 gene or a gene nearby contributes to genetic risk in AutD.


Archive | 2012

COHORT study oft the HSG. CAG repeat expansion in Huntington disease determines age at onset in al fully dominant fashion

Jong-Min Lee; Eliana Marisa Ramos; Ji Hyun Lee; Tammy Gillis; Jayalakshmi S. Mysore; Hayden; Simon C. Warby; Patrick J. Morrison; Martha Nance; Christopher A. Ross; Russell L. Margolis; Ferdinando Squitieri; S. Orobello; S Di Donato; Estrella Gomez-Tortosa; Carmen Ayuso; Oksana Suchowersky; Ronald J. Trent; Elizabeth McCusker; Andrea Novelletto; Marina Frontali; Randi Jones; Tetsuo Ashizawa; Samuel Frank; Marie-Helene Saint-Hilaire; Steven M. Hersch; H.D. Rosas; Diane Lucente; Madeline Harrison; Andrea Zanko

Objective: Age at onset of diagnostic motor manifestations in Huntington disease (HD) is strongly correlated with an expanded CAG trinucleotide repeat. The length of the normal CAG repeat allele has been reported also to influence age at onset, in interaction with the expanded allele. Due to profound implications for disease mechanism and modification, we tested whether the normal allele, interaction between the expanded and normal alleles, or presence of a second expanded allele affects age at onset of HD motor signs. Methods: We modeled natural log-transformed age at onset as a function of CAG repeat lengths of expanded and normal alleles and their interaction by linear regression. Results: An apparently significant effect of interaction on age at motor onset among 4,068 subjects was dependent on a single outlier data point. A rigorous statistical analysis with a well-behaved dataset that conformed to the fundamental assumptions of linear regression (e.g., constant variance and normally distributed error) revealed significance only for the expanded CAG repeat, with no effect of the normal CAG repeat. Ten subjects with 2 expanded alleles showed an age at motor onset consistent with the length of the larger expanded allele. Conclusions: Normal allele CAG length, interaction between expanded and normal alleles, and presence of a second expanded allele do not influence age at onset of motor manifestations, indicating that the rate of HD pathogenesis leading to motor diagnosis is determined by a completely dominant action of the longest expanded allele and as yet unidentified genetic or environmental factors. Neurology® 2012;78:690–695


American Journal of Human Genetics | 2003

A Genome Scan for Modifiers of Age at Onset in Huntington Disease: The HD MAPS Study

Jian Liang Li; Michael R. Hayden; Elisabeth W. Almqvist; Ryan R. Brinkman; Alexandra Durr; Catherine Dodé; Patrick J. Morrison; Oksana Suchowersky; Christopher A. Ross; Russell L. Margolis; Adam Rosenblatt; Estrella Gomez-Tortosa; David Mayo Cabrero; Andrea Novelletto; Marina Frontali; Martha Nance; Ronald J. Trent; Elizabeth McCusker; Randi Jones; Jane S. Paulsen; Madeline Harrison; Andrea Zanko; Ruth K. Abramson; Ana L. Russ; Beth Knowlton; Luc Djoussé; Jayalakshmi S. Mysore; Suzanne Tariot; Michael F. Gusella; Vanessa C. Wheeler

Huntington disease (HD) is caused by the expansion of a CAG repeat within the coding region of a novel gene on 4p16.3. Although the variation in age at onset is partly explained by the size of the expanded repeat, the unexplained variation in age at onset is strongly heritable (h2=0.56), which suggests that other genes modify the age at onset of HD. To identify these modifier loci, we performed a 10-cM density genomewide scan in 629 affected sibling pairs (295 pedigrees and 695 individuals), using ages at onset adjusted for the expanded and normal CAG repeat sizes. Because all those studied were HD affected, estimates of allele sharing identical by descent at and around the HD locus were adjusted by a positionally weighted method to correct for the increased allele sharing at 4p. Suggestive evidence for linkage was found at 4p16 (LOD=1.93), 6p21-23 (LOD=2.29), and 6q24-26 (LOD=2.28), which may be useful for investigation of genes that modify age at onset of HD.

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Harry H. Wright

University of South Carolina

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Jonathan L. Haines

Case Western Reserve University

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Sarah A. Ravan

University of South Carolina

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