Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Elizabeth K. Ruzzo is active.

Publication


Featured researches published by Elizabeth K. Ruzzo.


Nature | 2013

De novo mutations in epileptic encephalopathies

Andrew S. Allen; Samuel F. Berkovic; Patrick Cossette; Norman Delanty; Dennis J. Dlugos; Evan E. Eichler; Michael P. Epstein; Tracy A. Glauser; David B. Goldstein; Yujun Han; Erin L. Heinzen; Yuki Hitomi; Katherine B. Howell; Michael R. Johnson; Ruben Kuzniecky; Daniel H. Lowenstein; Yi Fan Lu; Maura Madou; Anthony G Marson; Mefford Hc; Sahar Esmaeeli Nieh; Terence J. O'Brien; Ruth Ottman; Slavé Petrovski; Annapurna Poduri; Elizabeth K. Ruzzo; Ingrid E. Scheffer; Elliott H. Sherr; Christopher J. Yuskaitis; Bassel Abou-Khalil

Epileptic encephalopathies are a devastating group of severe childhood epilepsy disorders for which the cause is often unknown. Here we report a screen for de novo mutations in patients with two classical epileptic encephalopathies: infantile spasms (n = 149) and Lennox–Gastaut syndrome (n = 115). We sequenced the exomes of 264 probands, and their parents, and confirmed 329 de novo mutations. A likelihood analysis showed a significant excess of de novo mutations in the ∼4,000 genes that are the most intolerant to functional genetic variation in the human population (P = 2.9 × 10−3). Among these are GABRB3, with de novo mutations in four patients, and ALG13, with the same de novo mutation in two patients; both genes show clear statistical evidence of association with epileptic encephalopathy. Given the relevant site-specific mutation rates, the probabilities of these outcomes occurring by chance are P = 4.1 × 10−10 and P = 7.8 × 10−12, respectively. Other genes with de novo mutations in this cohort include CACNA1A, CHD2, FLNA, GABRA1, GRIN1, GRIN2B, HNRNPU, IQSEC2, MTOR and NEDD4L. Finally, we show that the de novo mutations observed are enriched in specific gene sets including genes regulated by the fragile X protein (P < 10−8), as has been reported previously for autism spectrum disorders.


PLOS Genetics | 2010

The Characterization of Twenty Sequenced Human Genomes

Kimberly Pelak; Dongliang Ge; Jessica M. Maia; Mingfu Zhu; Jason P. Smith; Elizabeth T. Cirulli; Jacques Fellay; Samuel P. Dickson; Curtis Gumbs; Erin L. Heinzen; Anna C. Need; Elizabeth K. Ruzzo; Abanish Singh; C. Ryan Campbell; Linda K. Hong; Katharina A. Lornsen; Alexander McKenzie; Nara Sobreira; Julie Hoover-Fong; Joshua D. Milner; Ruth Ottman; Barton F. Haynes; James J. Goedert; David B. Goldstein

We present the analysis of twenty human genomes to evaluate the prospects for identifying rare functional variants that contribute to a phenotype of interest. We sequenced at high coverage ten “case” genomes from individuals with severe hemophilia A and ten “control” genomes. We summarize the number of genetic variants emerging from a study of this magnitude, and provide a proof of concept for the identification of rare and highly-penetrant functional variants by confirming that the cause of hemophilia A is easily recognizable in this data set. We also show that the number of novel single nucleotide variants (SNVs) discovered per genome seems to stabilize at about 144,000 new variants per genome, after the first 15 individuals have been sequenced. Finally, we find that, on average, each genome carries 165 homozygous protein-truncating or stop loss variants in genes representing a diverse set of pathways.


Genetics in Medicine | 2015

Whole-exome sequencing in undiagnosed genetic diseases: interpreting 119 trios

Xiaolin Zhu; Slavé Petrovski; Pingxing Xie; Elizabeth K. Ruzzo; Yi-Fan Lu; K. Melodi McSweeney; Bruria Ben-Zeev; Andreea Nissenkorn; Yair Anikster; Danit Oz-Levi; Ryan S. Dhindsa; Yuki Hitomi; Kelly Schoch; Rebecca C. Spillmann; Gali Heimer; Dina Marek-Yagel; Michal Tzadok; Yujun Han; Gordon Worley; Jennifer L. Goldstein; Yong-hui Jiang; Doron Lancet; Elon Pras; Vandana Shashi; Duncan McHale; Anna C. Need; David B. Goldstein

Purpose:Despite the recognized clinical value of exome-based diagnostics, methods for comprehensive genomic interpretation remain immature. Diagnoses are based on known or presumed pathogenic variants in genes already associated with a similar phenotype. Here, we extend this paradigm by evaluating novel bioinformatics approaches to aid identification of new gene–disease associations.Methods:We analyzed 119 trios to identify both diagnostic genotypes in known genes and candidate genotypes in novel genes. We considered qualifying genotypes based on their population frequency and in silico predicted effects we also characterized the patterns of genotypes enriched among this collection of patients.Results:We obtained a genetic diagnosis for 29 (24%) of our patients. We showed that patients carried an excess of damaging de novo mutations in intolerant genes, particularly those shown to be essential in mice (P = 3.4 × 10−8). This enrichment is only partially explained by mutations found in known disease-causing genes.Conclusion:This work indicates that the application of appropriate bioinformatics analyses to clinical sequence data can also help implicate novel disease genes and suggest expanded phenotypes for known disease genes. These analyses further suggest that some cases resolved by whole-exome sequencing will have direct therapeutic implications.Genet Med 17 10, 774–781.


American Journal of Human Genetics | 2012

Mutation in TECPR2 Reveals a Role for Autophagy in Hereditary Spastic Paraparesis

Danit Oz-Levi; Bruria Ben-Zeev; Elizabeth K. Ruzzo; Yuki Hitomi; Amir Gelman; Kimberly Pelak; Yair Anikster; Haike Reznik-Wolf; Ifat Bar-Joseph; Tsviya Olender; Anna Alkelai; Meira Weiss; Edna Ben-Asher; Dongliang Ge; Zvulun Elazar; David B. Goldstein; Elon Pras; Doron Lancet

We studied five individuals from three Jewish Bukharian families affected by an apparently autosomal-recessive form of hereditary spastic paraparesis accompanied by severe intellectual disability, fluctuating central hypoventilation, gastresophageal reflux disease, wake apnea, areflexia, and unique dysmorphic features. Exome sequencing identified one homozygous variant shared among all affected individuals and absent in controls: a 1 bp frameshift TECPR2 deletion leading to a premature stop codon and predicting significant degradation of the protein. TECPR2 has been reported as a positive regulator of autophagy. We thus examined the autophagy-related fate of two key autophagic proteins, SQSTM1 (p62) and MAP1LC3B (LC3), in skin fibroblasts of an affected individual, as compared to a healthy control, and found that both protein levels were decreased and that there was a more pronounced decrease in the lipidated form of LC3 (LC3II). siRNA knockdown of TECPR2 showed similar changes, consistent with aberrant autophagy. Our results are strengthened by the fact that autophagy dysfunction has been implicated in a number of other neurodegenerative diseases. The discovered TECPR2 mutation implicates autophagy, a central intracellular mechanism, in spastic paraparesis.


Bioinformatics | 2011

SVA: software for annotating and visualizing sequenced human genomes

Dongliang Ge; Elizabeth K. Ruzzo; Min He; Kimberly Pelak; Erin L. Heinzen; Anna C. Need; Elizabeth T. Cirulli; Jessica M. Maia; Samuel P. Dickson; Mingfu Zhu; Abanish Singh; Andrew S. Allen; David B. Goldstein

Summary: Here we present Sequence Variant Analyzer (SVA), a software tool that assigns a predicted biological function to variants identified in next-generation sequencing studies and provides a browser to visualize the variants in their genomic contexts. SVA also provides for flexible interaction with software implementing variant association tests allowing users to consider both the bioinformatic annotation of identified variants and the strength of their associations with studied traits. We illustrate the annotation features of SVA using two simple examples of sequenced genomes that harbor Mendelian mutations. Availability and implementation: Freely available on the web at http://www.svaproject.org. Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.


American Journal of Human Genetics | 2012

Using ERDS to infer copy-number variants in high-coverage genomes.

Mingfu Zhu; Anna C. Need; Yujun Han; Dongliang Ge; Jessica M. Maia; Qianqian Zhu; Erin L. Heinzen; Elizabeth T. Cirulli; Kimberly Pelak; Min He; Elizabeth K. Ruzzo; Curtis Gumbs; Abanish Singh; Sheng Feng; David B. Goldstein

Although there are many methods available for inferring copy-number variants (CNVs) from next-generation sequence data, there remains a need for a system that is computationally efficient but that retains good sensitivity and specificity across all types of CNVs. Here, we introduce a new method, estimation by read depth with single-nucleotide variants (ERDS), and use various approaches to compare its performance to other methods. We found that for common CNVs and high-coverage genomes, ERDS performs as well as the best method currently available (Genome STRiP), whereas for rare CNVs and high-coverage genomes, ERDS performs better than any available method. Importantly, ERDS accommodates both unique and highly amplified regions of the genome and does so without requiring separate alignments for calling CNVs and other variants. These comparisons show that for genomes sequenced at high coverage, ERDS provides a computationally convenient method that calls CNVs as well as or better than any currently available method.


Neuron | 2013

Deficiency of asparagine synthetase causes congenital microcephaly and a progressive form of encephalopathy

Elizabeth K. Ruzzo; José-Mario Capo-Chichi; Bruria Ben-Zeev; David Chitayat; Hanqian Mao; Andrea L. Pappas; Yuki Hitomi; Yi-Fan Lu; Xiaodi Yao; Fadi F. Hamdan; Kimberly Pelak; Haike Reznik-Wolf; Ifat Bar-Joseph; Danit Oz-Levi; Dorit Lev; Tally Lerman-Sagie; Esther Leshinsky-Silver; Yair Anikster; Edna Ben-Asher; Tsviya Olender; Laurence Colleaux; Jean-Claude Décarie; Susan Blaser; Brenda Banwell; Rasesh B. Joshi; Xiao-Ping He; Lysanne Patry; Rachel Silver; Mohammad Safiqul Islam; Abul Hasnat

We analyzed four families that presented with a similar condition characterized by congenital microcephaly, intellectual disability, progressive cerebral atrophy, and intractable seizures. We show that recessive mutations in the ASNS gene are responsible for this syndrome. Two of the identified missense mutations dramatically reduce ASNS protein abundance, suggesting that the mutations cause loss of function. Hypomorphic Asns mutant mice have structural brain abnormalities, including enlarged ventricles and reduced cortical thickness, and show deficits in learning and memory mimicking aspects of the patient phenotype. ASNS encodes asparagine synthetase, which catalyzes the synthesis of asparagine from glutamine and aspartate. The neurological impairment resulting from ASNS deficiency may be explained by asparagine depletion in the brain or by accumulation of aspartate/glutamate leading to enhanced excitability and neuronal damage. Our study thus indicates that asparagine synthesis is essential for the development and function of the brain but not for that of other organs.


Neurology | 2009

SEPT9 gene sequencing analysis reveals recurrent mutations in hereditary neuralgic amyotrophy.

Mark C. Hannibal; Elizabeth K. Ruzzo; L. R. Miller; B. Betz; Jillian G. Buchan; Dana M. Knutzen; Karen Barnett; Megan L. Landsverk; Alexis Brice; Eric LeGuern; H. M. Bedford; Bradford B. Worrall; S. Lovitt; S. H. Appel; E. Andermann; Bird Td; Phillip F. Chance

Background: Hereditary neuralgic amyotrophy (HNA) is an autosomal dominant disorder that manifests as recurrent, episodic, painful brachial neuropathies. A gene for HNA maps to chromosome 17q25.3 where mutations in SEPT9, encoding the septin-9 protein, have been identified. Objective: To determine the frequency and type of mutations in the SEPT9 gene in a new cohort of 42 unrelated HNA pedigrees. Methods: DNA sequencing of all exons and intron-exon boundaries for SEPT9 was carried out in an affected individual in each pedigree from our HNA cohort. Genotyping using microsatellite markers spanning the SEPT9 gene was also used to identify pedigrees with a previously reported founder haplotype. Results: Two missense mutations were found: c.262C>T (p.Arg88Trp) in seven HNA pedigrees and c.278C>T (p.Ser93Phe) in one HNA pedigree. Sequencing of other known exons in SEPT9 detected no additional disease-associated mutations. A founder haplotype, without defined mutations in SEPT9, was present in seven pedigrees. Conclusions: We provide further evidence that mutation of the SEPT9 gene is the molecular basis of some cases of hereditary neuralgic amyotrophy (HNA). DNA sequencing of SEPT9 demonstrates a restricted set of mutations in this cohort of HNA pedigrees. Nonetheless, sequence analysis will have an important role in mutation detection in HNA. Additional techniques will be required to find SEPT9 mutations in an HNA founder haplotype and other pedigrees.


Annals of Neurology | 2015

Copy number variant analysis from exome data in 349 patients with epileptic encephalopathy

Epilepsy Phenome; Andrew S. Allen; Samuel F. Berkovic; Bradley P. Coe; Joseph Cook; Patrick Cossette; Norman Delanty; Dennis J. Dlugos; Evan E. Eichler; Michael P. Epstein; Tracy A. Glauser; David B. Goldstein; Erin L. Heinzen; Michael R. Johnson; Nik Krumm; Ruben Kuzniecky; Daniel H. Lowenstein; Anthony G Marson; Mefford Hc; Ben Nelson; Sahar Esmaeeli Nieh; Terence J. O'Brien; Ruth Ottman; Stephen Petrou; Slavé Petrovski; Annapurna Poduri; Archana Raja; Elizabeth K. Ruzzo; Ingrid E. Scheffer; Elliott H. Sherr

Infantile spasms (IS) and Lennox–Gastaut syndrome (LGS) are epileptic encephalopathies characterized by early onset, intractable seizures, and poor developmental outcomes. De novo sequence mutations and copy number variants (CNVs) are causative in a subset of cases. We used exome sequence data in 349 trios with IS or LGS to identify putative de novo CNVs. We confirm 18 de novo CNVs in 17 patients (4.8%), 10 of which are likely pathogenic, giving a firm genetic diagnosis for 2.9% of patients. Confirmation of exome‐predicted CNVs by array‐based methods is still required due to false‐positive rates of prediction algorithms. Our exome‐based results are consistent with recent array‐based studies in similar cohorts and highlight novel candidate genes for IS and LGS. Ann Neurol 2015;78:323–328


Journal of Medical Genetics | 2010

Non-recurrent SEPT9 duplications cause hereditary neuralgic amyotrophy

Angela M. B. Collie; Megan L. Landsverk; Elizabeth K. Ruzzo; Mefford Hc; Karen Buysse; Jonathan Adkins; Dana M. Knutzen; Karen Barnett; Robert H. Brown; Gareth Parry; Sabrina W. Yum; David A. Simpson; Richard K. Olney; Patrick F. Chinnery; Evan E. Eichler; Phillip F. Chance; Mark C. Hannibal

Background Genomic copy number variants have been shown to be responsible for multiple genetic diseases. Recently, a duplication in septin 9 (SEPT9) was shown to be causal for hereditary neuralgic amyotrophy (HNA), an episodic peripheral neuropathy with autosomal dominant inheritance. This duplication was identified in 12 pedigrees that all shared a common founder haplotype. Methods and results Based on array comparative genomic hybridisation, we identified six additional heterogeneous tandem SEPT9 duplications in patients with HNA that did not possess the founder haplotype. Five of these novel duplications are intragenic and result in larger transcript and protein products, as demonstrated through reverse transcription-PCR and western blotting. One duplication spans the entire SEPT9 gene and does not generate aberrant transcripts and proteins. The breakpoints of all the duplications are unique and contain regions of microhomology ranging from 2 to 9 bp in size. The duplicated regions contain a conserved 645 bp exon within SEPT9 in which HNA-linked missense mutations have been previously identified, suggesting that the region encoded by this exon is important to the pathogenesis of HNA. Conclusions Together with the previously identified founder duplication, a total of seven heterogeneous SEPT9 duplications have been identified in this study as a causative factor of HNA. These duplications account for one third of the patients in our cohort, suggesting that duplications of various sizes within the SEPT9 gene are a common cause of HNA.

Collaboration


Dive into the Elizabeth K. Ruzzo's collaboration.

Top Co-Authors

Avatar

David B. Goldstein

Columbia University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Erin L. Heinzen

Columbia University Medical Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Doron Lancet

Weizmann Institute of Science

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Anna C. Need

Imperial College London

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge