Sarah A. Ravan
University of South Carolina
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Sarah A. Ravan.
American Journal of Human Genetics | 2003
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.
Pediatric Neurology | 2003
Regina M. Carney; Chantelle M. Wolpert; Sarah A. Ravan; Mona D. Shahbazian; Allison E. Ashley-Koch; Michael L. Cuccaro; Jeffery M. Vance; Margaret A. Pericak-Vance
Rett disorder and autistic disorder are both pervasive developmental disorders. Recent studies indicate that at least 80% of Rett Disorder cases are caused by mutations in the methyl-CpG-binding protein 2 (MeCP2) gene. Since there is some phenotypic overlap between autistic disorder and Rett disorder, we analyzed 69 females clinically diagnosed with autistic disorder for the presence of mutations in the MeCP2 gene. Two autistic disorder females were found to have de novo mutations in the MeCP2 gene. These data provide additional evidence of variable expression in the Rett disorder phenotype and suggest MeCP2 testing may be warranted for females presenting with autistic disorder.
Child Psychiatry & Human Development | 2003
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.
American Journal of Human Genetics | 2002
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
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.
Neurogenetics | 2000
Meredyth P. Bass; M. M. Menold; Chantelle M. Wolpert; Shannon L. Donnelly; Sarah A. Ravan; Elizabeth R. Hauser; L. O. Maddox; J. M. Vance; Ruth K. Abramson; Harry H. Wright; John R. Gilbert; Michael L. Cuccaro; G. R. DeLong; Margaret A. Pericak-Vance
ABSTRACT¶Autistic disorder (AD) is a developmental disorder affecting social interactions, communication, and behavior. AD is a disease of complex genetic architecture. It is postulated that several genes contribute to the underlying etiology of AD. Chromosome 15 is of particular interest due to numerous reports of AD in the presence of chromosomal abnormalities, located mainly in the 15q11-q13 region. There are also a number of plausible candidate genes in this area, including the gamma-aminobutyric acid A (GABA A ) receptor gene complex. We have undertaken a study of this region of chromosome 15 in a data set of 63 multiplex families (with 2 or more AD affected individuals per family). We found evidence in support of linkage to the 15q11-q13 region, as well as evidence of increased recombination in this region. These findings provide further support for the involvement of chromosome 15q11-q13 in the genetic etiology of AD.
American Journal of Medical Genetics | 2000
Chantelle M. Wolpert; Marisa M. Menold; Meredyth P. Bass; Mazin B. Qumsiyeh; Shannon L. Donnelly; Sarah A. Ravan; Jeffery M. Vance; John R. Gilbert; Ruth K. Abramson; Harry H. Wright; Michael L. Cuccaro; Margaret A. Pericak-Vance
We have identified three unrelated probands with autistic disorder (AD) and isodicentric chromosomes that encompass the proximal region of 15q11.2. All three probands met the Diagnostic and Statistical Manual of Mental Disorders, fourth edition [DSM-IV; American Psychiatric Association, 1994], and International Classification of Diseases ( ICD-10) diagnostic criteria for AD, confirmed with the Autism Diagnostic Interview -Revised (ADI-R). Chromosome analysis revealed the following karyotypes: 47,XX,+idic(15)(q11.2), 47,XX, +idic(15) (q11.2), and 47,XY,+idic(15)(q11.2). Haplotype analysis of genotypic maker data in the probands and their parents showed that marker chromosomes in all three instances were of maternal origin. Comparison of the clinical findings of the three AD probands with case reports in the published literature (N = 20) reveals a clustering of physical and developmental features. Specifically, these three probands and the majority of reported probands in the literature exhibited hypotonia (n = 13), seizures (n = 13), and delayed gross motor development (n = 13). In addition, clustering of the following clinical signs was seen with respect to exhibited speech delay (n = 13), lack of social reciprocity (n = 11), and stereotyped behaviors (n = 12). Collectively, these data provide further evidence for the involvement of chromosome 15 in AD as well as present preliminary data suggesting a clustering of clinical features in AD probands with proximal 15q anomalies.
Journal of Autism and Developmental Disorders | 2003
Michael L. Cuccaro; Yujun Shao; Meredyth P. Bass; Ruth K. Abramson; Sarah A. Ravan; Harry H. Wright; Chantelle M. Wolpert; Shannon L. Donnelly; Margaret A. Pericak-Vance
Autistic disorder (AD) is a complex neurodevelopmental disorder. The role of genetics in AD etiology is well established, and it is postulated that anywhere from 2 to 10 genes could be involved. As part of a larger study to identify these genetic effects we have ascertained a series of AD families: Sporadic (SP, 1 known AD case per family and no known history of AD) and multiplex (MP, ≥2 cases per family). The underlying etiology of both family types is unknown. It is possible that MP families may constitute a unique subset of families in which the disease phenotype is more likely due to genetic factors. Clinical differences between the two family types could represent underlying genetic heterogeneity. We examined ADI-R data for 69 probands from MP families and 88 from SP families in order to compare and contrast the clinical phenotypes for each group as a function of verbal versus nonverbal status. Multivariate analysis controlling for covariates of age at examination, gender, and race (MANCOVA) revealed no differences between either the verbal or nonverbal MP and SP groups for the three ADI-R area scores: social interaction, communication, and restricted/repetitive interests or behaviors. These data failed to find clinical heterogeneity between MP and SP family types. This supports previous work that indicated that autism features are not useful as tools to index genetic heterogeneity. Thus, although there may be different underlying etiologic mechanisms in the SP and MP probands, there are no distinct behavioral patterns associated with probands from MP families versus SP families. These results suggests the possibility that common etiologic mechanisms, either genetic and/or environmental, could underlie all of AD.
American Journal of Medical Genetics | 2002
Yujun Shao; Chantelle M. Wolpert; Kimberly L. Raiford; Marisa M. Menold; Shannon L. Donnelly; Sarah A. Ravan; Meredyth P. Bass; Cate McClain; Lennart von Wendt; Jeffery M. Vance; Ruth H. Abramson; Harry H. Wright; Allison E. Ashley-Koch; John R. Gilbert; Robert DeLong; Michael L. Cuccaro; Margaret A. Pericak-Vance
Genomics | 1999
Allison E. Ashley-Koch; Chantelle M. Wolpert; M. M. Menold; L. Zaeem; S. Basu; Shannon L. Donnelly; Sarah A. Ravan; Cynthia M. Powell; Mazin B. Qumsiyeh; Arthur S. Aylsworth; J. M. Vance; John R. Gilbert; Harry H. Wright; Ruth K. Abramson; G. R. DeLong; Michael L. Cuccaro; Margaret A. Pericak-Vance