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Featured researches published by Holly N. Cukier.


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.


Molecular Autism | 2014

Exome sequencing of extended families with autism reveals genes shared across neurodevelopmental and neuropsychiatric disorders

Holly N. Cukier; Nicole Dueker; Susan Slifer; Joycelyn M. Lee; Eminisha Lalanne; Natalia Leyva; Ioanna Konidari; Ryan C Gentry; William Hulme; Derek Van Booven; Vera Mayo; Natalia K. Hofmann; Michael A. Schmidt; Eden R. Martin; Jonathan L. Haines; Michael L. Cuccaro; John R. Gilbert; Margaret A. Pericak-Vance

BackgroundAutism 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.MethodsTo 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.ResultsWe 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 × 10-5).ConclusionsBy 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.


Human Molecular Genetics | 2012

Evaluation of copy number variations reveals novel candidate genes in autism spectrum disorder-associated pathways

Anthony J. Griswold; Deqiong Ma; Holly N. Cukier; Laura Nations; Mike Schmidt; Ren Hua Chung; James M. Jaworski; Daria Salyakina; Ioanna Konidari; Harry H. Wright; Ruth K. Abramson; Scott M. Williams; Ramkumar Menon; Eden R. Martin; Jonathan L. Haines; John R. Gilbert; Michael L. Cuccaro; Margaret A. Pericak-Vance

Autism spectrum disorders (ASDs) are highly heritable, yet relatively few associated genetic loci have been replicated. Copy number variations (CNVs) have been implicated in autism; however, the majority of loci contribute to <1% of the disease population. Therefore, independent studies are important to refine associated CNV regions and discover novel susceptibility genes. In this study, a genome-wide SNP array was utilized for CNV detection by two distinct algorithms in a European ancestry case-control data set. We identify a significantly higher burden in the number and size of deletions, and disrupting more genes in ASD cases. Moreover, 18 deletions larger than 1 Mb were detected exclusively in cases, implicating novel regions at 2q22.1, 3p26.3, 4q12 and 14q23. Case-specific CNVs provided further evidence for pathways previously implicated in ASDs, revealing new candidate genes within the GABAergic signaling and neural development pathways. These include DBI, an allosteric binder of GABA receptors, GABARAPL1, the GABA receptor-associated protein, and SLC6A11, a postsynaptic GABA transporter. We also identified CNVs in COBL, deletions of which cause defects in neuronal cytoskeleton morphogenesis in model vertebrates, and DNER, a neuron-specific Notch ligand required for cerebellar development. Moreover, we found evidence of genetic overlap between ASDs and other neurodevelopmental and neuropsychiatric diseases. These genes include glutamate receptors (GRID1, GRIK2 and GRIK4), synaptic regulators (NRXN3, SLC6A8 and SYN3), transcription factor (ZNF804A) and RNA-binding protein FMR1. Taken together, these CNVs may be a few of the missing pieces of ASD heritability and lead to discovering novel etiological mechanisms.


PLOS ONE | 2011

Copy number variants in extended autism spectrum disorder families reveal candidates potentially involved in autism risk

Daria Salyakina; Holly N. Cukier; Joycelyn M. Lee; Stephanie Sacharow; Laura Nations; Deqiong Ma; James M. Jaworski; Ioanna Konidari; Harry H. Wright; Ruth K. Abramson; Scott M. Williams; Ramkumar Menon; Jonathan L. Haines; John R. Gilbert; Michael L. Cuccaro; Margaret A. Pericak-Vance

Copy number variations (CNVs) are a major cause of genetic disruption in the human genome with far more nucleotides being altered by duplications and deletions than by single nucleotide polymorphisms (SNPs). In the multifaceted etiology of autism spectrum disorders (ASDs), CNVs appear to contribute significantly to our understanding of the pathogenesis of this complex disease. A unique resource of 42 extended ASD families was genotyped for over 1 million SNPs to detect CNVs that may contribute to ASD susceptibility. Each family has at least one avuncular or cousin pair with ASD. Families were then evaluated for co-segregation of CNVs in ASD patients. We identified a total of five deletions and seven duplications in eleven families that co-segregated with ASD. Two of the CNVs overlap with regions on 7p21.3 and 15q24.1 that have been previously reported in ASD individuals and two additional CNVs on 3p26.3 and 12q24.32 occur near regions associated with schizophrenia. These findings provide further evidence for the involvement of ICA1 and NXPH1 on 7p21.3 in ASD susceptibility and highlight novel ASD candidates, including CHL1, FGFBP3 and POUF41. These studies highlight the power of using extended families for gene discovery in traits with a complex etiology.


American Journal of Medical Genetics | 2010

Association and gene-gene interaction of SLC6A4 and ITGB3 in autism.

Deqiong Ma; Raquel Rabionet; Ioanna Konidari; James M. Jaworski; Holly N. Cukier; Harry H. Wright; Ruth K. Abramson; Johnny R. Gilbert; Michael L. Cuccaro; Margaret A. Pericak-Vance; Eden R. Martin

Autism is a heritable neurodevelopmental disorder with substantial genetic heterogeneity. Studies point to possible links between autism and two serotonin related genes: SLC6A4 and ITGB3 with a sex‐specific genetic effect and interaction between the genes. Despite positive findings, inconsistent results have complicated interpretation. This study seeks to validate and clarify previous findings in an independent dataset taking into account sex, family‐history (FH) and gene–gene effects. Family‐based association analysis was performed within each gene. Gene–gene interactions were tested using extended multifactor dimensionality reduction (EMDR) and MDR‐phenomics (MDR‐P) using sex of affecteds and FH as covariates. No significant associations with individual SNPs were found in the datasets stratified by sex, but associations did emerge when we stratified by family history. While not significant in the overall dataset, nominally significant association was identified at RS2066713 (P = 0.006) within SLC6A4 in family‐history negative (FH−) families, at RS2066713 (P = 0.038) in family‐history positive (FH+) families but with the opposite risk allele as in the FH− families. For ITGB3, nominally significant association was identified at RS3809865 overall (P = 0.040) and within FH+ families (P = 0.031). However, none of the associations survived the multiple testing correction. MDR‐P confirmed gene–gene effects using sex of affecteds (P = 0.023) and family history (P = 0.014, survived the multiple testing corrections) as covariates. Our results indicate the extensive heterogeneity within these two genes among families. The potential interaction between SLC6A4 and ITGB3 may be clarified using family history as an indicator of genetic architecture, illustrating the importance of covariates as markers of heterogeneity in genetic analyses.


Autism Research | 2012

The Expanding Role of MBD Genes in Autism: Identification of a MECP2 Duplication and Novel Alterations in MBD5, MBD6, and SETDB1

Holly N. Cukier; Joycelyn M. Lee; Deqiong Ma; Juan I. Young; Vera Mayo; Brittany L. Butler; Sandhya S. Ramsook; Joseph A. Rantus; Alexander J. Abrams; Harry H. Wright; Ruth K. Abramson; Jonathan L. Haines; Michael L. Cuccaro; Margaret A. Pericak-Vance; John R. Gilbert

The methyl‐CpG‐binding domain (MBD) gene family was first linked to autism over a decade ago when Rett syndrome, which falls under the umbrella of autism spectrum disorders (ASDs), was revealed to be predominantly caused by MECP2 mutations. Since that time, MECP2 alterations have been recognized in idiopathic ASD patients by us and others. Individuals with deletions across the MBD5 gene also present with ASDs, impaired speech, intellectual difficulties, repetitive behaviors, and epilepsy. These findings suggest that further investigations of the MBD gene family may reveal additional associations related to autism. We now describe the first study evaluating individuals with ASD for rare variants in four autosomal MBD family members, MBD5, MBD6, SETDB1, and SETDB2, and expand our initial screening in the MECP2 gene. Each gene was sequenced over all coding exons and evaluated for copy number variations in 287 patients with ASD and an equal number of ethnically matched control individuals. We identified 186 alterations through sequencing, approximately half of which were novel (96 variants, 51.6%). We identified 17 ASD specific, nonsynonymous variants, four of which were concordant in multiplex families: MBD5 Tyr1269Cys, MBD6 Arg883Trp, MECP2 Thr240Ser, and SETDB1 Pro1067del. Furthermore, a complex duplication spanning of the MECP2 gene was identified in two brothers who presented with developmental delay and intellectual disability. From our studies, we provide the first examples of autistic patients carrying potentially detrimental alterations in MBD6 and SETDB1, thereby demonstrating that the MBD gene family potentially plays a significant role in rare and private genetic causes of autism. Autism Res 2012, 5: 385–397.


Neurogenetics | 2010

Novel variants identified in methyl-CpG-binding domain genes in autistic individuals.

Holly N. Cukier; Raquel Rabionet; Ioanna Konidari; Melissa Y. Rayner-Evans; Mary L. Baltos; Harry H. Wright; Ruth K. Abramson; Eden R. Martin; Michael L. Cuccaro; Margaret A. Pericak-Vance; John R. Gilbert

Misregulation of the methyl-CpG-binding protein 2 (MECP2) gene has been found to cause a myriad of neurological disorders including autism, mental retardation, seizures, learning disabilities, and Rett syndrome. We hypothesized that mutations in other members of the methyl-CpG-binding domain (MBD) family may also cause autistic features in individuals. We evaluated 226 autistic individuals for alterations in the four genes most homologous to MECP2: MBD1, MBD2, MBD3, and MBD4. A total of 46 alterations were identified in the four genes, including ten missense changes and two deletions that alter coding sequence. Several are either unique to our autistic population or cosegregate with affected individuals within a family, suggesting a possible relation of these variations to disease etiology. Variants include a R23M alteration in two affected half brothers which falls within the MBD domain of the MBD3 protein, as well as a frameshift in MBD4 that is predicted to truncate almost half of the protein. These results suggest that rare cases of autism may be influenced by mutations in members of the dynamic MBD protein family.


Molecular Autism | 2012

Evidence of novel fine-scale structural variation at autism spectrum disorder candidate loci

Dale J. Hedges; Kara L. Hamilton-Nelson; Stephanie Sacharow; Laura Nations; Gary W. Beecham; Zhanna Kozhekbaeva; Brittany L. Butler; Holly N. Cukier; Deqiong Ma; James M. Jaworski; Lubov Nathanson; Joycelyn M. Lee; Stephen L. Hauser; Jorge R. Oksenberg; Michael L. Cuccaro; Jonathan L. Haines; John R. Gilbert; Margaret A. Pericak-Vance

BackgroundAutism spectrum disorders (ASD) represent a group of neurodevelopmental disorders characterized by a core set of social-communicative and behavioral impairments. Gamma-aminobutyric acid (GABA) is the major inhibitory neurotransmitter in the brain, acting primarily via the GABA receptors (GABR). Multiple lines of evidence, including altered GABA and GABA receptor expression in autistic patients, indicate that the GABAergic system may be involved in the etiology of autism.MethodsAs copy number variations (CNVs), particularly rare and de novo CNVs, have now been implicated in ASD risk, we examined the GABA receptors and genes in related pathways for structural variation that may be associated with autism. We further extended our candidate gene set to include 19 genes and regions that had either been directly implicated in the autism literature or were directly related (via function or ancestry) to these primary candidates. For the high resolution CNV screen we employed custom-designed 244 k comparative genomic hybridization (CGH) arrays. Collectively, our probes spanned a total of 11 Mb of GABA-related and additional candidate regions with a density of approximately one probe every 200 nucleotides, allowing a theoretical resolution for detection of CNVs of approximately 1 kb or greater on average. One hundred and sixty-eight autism cases and 149 control individuals were screened for structural variants. Prioritized CNV events were confirmed using quantitative PCR, and confirmed loci were evaluated on an additional set of 170 cases and 170 control individuals that were not included in the original discovery set. Loci that remained interesting were subsequently screened via quantitative PCR on an additional set of 755 cases and 1,809 unaffected family members.ResultsResults include rare deletions in autistic individuals at JAKMIP1, NRXN1, Neuroligin4Y, OXTR, and ABAT. Common insertion/deletion polymorphisms were detected at several loci, including GABBR2 and NRXN3. Overall, statistically significant enrichment in affected vs. unaffected individuals was observed for NRXN1 deletions.ConclusionsThese results provide additional support for the role of rare structural variation in ASD.


Analytical Biochemistry | 2009

Sample degradation leads to false-positive copy number variation calls in multiplex real-time polymerase chain reaction assays

Holly N. Cukier; Margaret A. Pericak-Vance; John R. Gilbert; Dale J. Hedges

The recent implication of genomic copy number variations (CNVs) in multiple human genetic disorders has led to increased interest in CNV discovery technologies. There is a growing consensus that, in addition to the method used for detection, at least one additional technology should be employed for validation. Real-time quantitative polymerase chain reaction (qPCR) analysis, incorporating a normal (2N) copy number standard, is commonly used as a means of validating CNVs. Whereas it has previously been reported that formalin-fixed paraffin-embedded (FFPE) DNA samples can yield spurious CNV calls in real-time qPCR assays, here we report that sample degradation under standard laboratory storage conditions generates a significant increase in false-positive CNV results. Results suggest the possibility of biased degradation among genomic regions and emphasize the need to assess sample integrity immediately prior to real-time qPCR experiments.


Human Molecular Genetics | 2015

Two knockdown models of the autism genes SYNGAP1 and SHANK3 in zebrafish produce similar behavioral phenotypes associated with embryonic disruptions of brain morphogenesis

Robert Kozol; Holly N. Cukier; Bing Zou; Vera Mayo; Silvia De Rubeis; Guiqing Cai; Anthony J. Griswold; Jonathan L. Haines; John R. Gilbert; Michael L. Cuccaro; Eden R. Martin; James D. Baker; Joseph D. Buxbaum; Margaret A. Pericak-Vance; Julia E. Dallman

Despite significant progress in the genetics of autism spectrum disorder (ASD), how genetic mutations translate to the behavioral changes characteristic of ASD remains largely unknown. ASD affects 1-2% of children and adults, and is characterized by deficits in verbal and non-verbal communication, and social interactions, as well as the presence of repetitive behaviors and/or stereotyped interests. ASD is clinically and etiologically heterogeneous, with a strong genetic component. Here, we present functional data from syngap1 and shank3 zebrafish loss-of-function models of ASD. SYNGAP1, a synaptic Ras GTPase activating protein, and SHANK3, a synaptic scaffolding protein, were chosen because of mounting evidence that haploinsufficiency in these genes is highly penetrant for ASD and intellectual disability (ID). Orthologs of both SYNGAP1 and SHANK3 are duplicated in the zebrafish genome and we find that all four transcripts (syngap1a, syngap1b, shank3a and shank3b) are expressed at the earliest stages of nervous system development with pronounced expression in the larval brain. Consistent with early expression of these genes, knockdown of syngap1b or shank3a cause common embryonic phenotypes including delayed mid- and hindbrain development, disruptions in motor behaviors that manifest as unproductive swim attempts, and spontaneous, seizure-like behaviors. Our findings indicate that both syngap1b and shank3a play novel roles in morphogenesis resulting in common brain and behavioral phenotypes.

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Jonathan L. Haines

Case Western Reserve University

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