Network


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

Hotspot


Dive into the research topics where Peggy S. Eis is active.

Publication


Featured researches published by Peggy S. Eis.


Nature Genetics | 2006

Discovery of previously unidentified genomic disorders from the duplication architecture of the human genome

Andrew J. Sharp; Sierra Hansen; Rebecca R. Selzer; Ze Cheng; Regina Regan; Jane Hurst; Helen Stewart; Sue M. Price; Edward Blair; Raoul C. M. Hennekam; Carrie Fitzpatrick; Rick Segraves; Todd Richmond; Cheryl Guiver; Donna G. Albertson; Daniel Pinkel; Peggy S. Eis; Stuart Schwartz; Samantha J. L. Knight; Evan E. Eichler

Genomic disorders are characterized by the presence of flanking segmental duplications that predispose these regions to recurrent rearrangement. Based on the duplication architecture of the genome, we investigated 130 regions that we hypothesized as candidates for previously undescribed genomic disorders. We tested 290 individuals with mental retardation by BAC array comparative genomic hybridization and identified 16 pathogenic rearrangements, including de novo microdeletions of 17q21.31 found in four individuals. Using oligonucleotide arrays, we refined the breakpoints of this microdeletion, defining a 478-kb critical region containing six genes that were deleted in all four individuals. We mapped the breakpoints of this deletion and of four other pathogenic rearrangements in 1q21.1, 15q13, 15q24 and 17q12 to flanking segmental duplications, suggesting that these are also sites of recurrent rearrangement. In common with the 17q21.31 deletion, these breakpoint regions are sites of copy number polymorphism in controls, indicating that these may be inherently unstable genomic regions.


Genes, Chromosomes and Cancer | 2005

Analysis of chromosome breakpoints in neuroblastoma at sub‐kilobase resolution using fine‐tiling oligonucleotide array CGH

Rebecca R. Selzer; Todd Richmond; Nathan J. Pofahl; Roland D. Green; Peggy S. Eis; Prakash Nair; Arthur R. Brothman; Raymond L. Stallings

Understanding the genes and genetic pathways targeted by recurrent chromosomal imbalances in malignancy, along with the molecular mechanisms that generate the imbalances, are important problems in cancer biology. In this report, we demonstrate that oligonucleotide array CGH (oaCGH) analysis can routinely map chromosomal imbalance breakpoints at exon‐level resolution, including imbalances that are single copy number genomic alterations. Different tiling‐path array designs were used in this study: a whole‐genome array with a 6‐kb median probe spacing and fine‐tiling arrays for selected genomic regions with either 50‐ or 140‐bp median probe spacing. In both array formats, oligonucleotide probes were of isothermal design and were tiled through genic and inter‐genic regions. Whole‐genome oaCGH analysis of two neuroblastoma cell lines and three primary tumors led to the identification of 58 chromosomal breakpoints that generated 45 large‐scale partial chromosomal imbalances (>2 Mb). An unexpectedly high proportion (34%) of these breakpoint intervals mapped to regions containing segmental duplications. In addition, 88 smaller‐sized regions (<2 Mb) of imbalance were detected, the majority of which mapped to segmentally duplicated regions and may reflect constitutional copy number polymorphisms. The chromosomal breakpoints for 12 recurrent abnormalities exhibited in neuroblastoma tumors and cell lines, including MYCN amplicon boundaries, loss of 3p, loss of 11q, and gain of 17q, could be mapped to intervals ranging from 50 bp to 10 kb in size using high‐density fine‐tiling oligonucleotide microarrays. Fine‐tiling oaCGH analysis provides an unprecedented level of resolution, allowing detailed mapping of recurrent unbalanced chromosomal abnormalities. Supplementary material for this article can be found on the Genes, Chromosomes, and Cancer website at http://www.interscience.wiley.com/jpages/1045‐2257/suppmat/index.html.


PLOS Genetics | 2005

A High-Resolution Map of Segmental DNA Copy Number Variation in the Mouse Genome

Timothy A. Graubert; Patrick Cahan; Deepa Edwin; Rebecca R. Selzer; Todd Richmond; Peggy S. Eis; William D. Shannon; Xia Li; Howard L. McLeod; James M. Cheverud; Timothy J. Ley

Submicroscopic (less than 2 Mb) segmental DNA copy number changes are a recently recognized source of genetic variability between individuals. The biological consequences of copy number variants (CNVs) are largely undefined. In some cases, CNVs that cause gene dosage effects have been implicated in phenotypic variation. CNVs have been detected in diverse species, including mice and humans. Published studies in mice have been limited by resolution and strain selection. We chose to study 21 well-characterized inbred mouse strains that are the focus of an international effort to measure, catalog, and disseminate phenotype data. We performed comparative genomic hybridization using long oligomer arrays to characterize CNVs in these strains. This technique increased the resolution of CNV detection by more than an order of magnitude over previous methodologies. The CNVs range in size from 21 to 2,002 kb. Clustering strains by CNV profile recapitulates aspects of the known ancestry of these strains. Most of the CNVs (77.5%) contain annotated genes, and many (47.5%) colocalize with previously mapped segmental duplications in the mouse genome. We demonstrate that this technique can identify copy number differences associated with known polymorphic traits. The phenotype of previously uncharacterized strains can be predicted based on their copy number at these loci. Annotation of CNVs in the mouse genome combined with sequence-based analysis provides an important resource that will help define the genetic basis of complex traits.


Proceedings of the National Academy of Sciences of the United States of America | 2009

Acquired copy number alterations in adult acute myeloid leukemia genomes

Matthew J. Walter; Jacqueline E. Payton; Rhonda E. Ries; William D. Shannon; Hrishikesh Deshmukh; Yu Zhao; Jack Baty; Sharon Heath; Peter Westervelt; Mark A. Watson; Michael H. Tomasson; Rakesh Nagarajan; Brian P. O'Gara; Clara D. Bloomfield; Krzysztof Mrózek; Rebecca R. Selzer; Todd Richmond; Jacob Kitzman; Joel Geoghegan; Peggy S. Eis; Rachel Maupin; Robert S. Fulton; Michael D. McLellan; Richard Wilson; Elaine R. Mardis; Daniel C. Link; Timothy A. Graubert; John F. DiPersio; Timothy J. Ley

Cytogenetic analysis of acute myeloid leukemia (AML) cells has accelerated the identification of genes important for AML pathogenesis. To complement cytogenetic studies and to identify genes altered in AML genomes, we performed genome-wide copy number analysis with paired normal and tumor DNA obtained from 86 adult patients with de novo AML using 1.85 million feature SNP arrays. Acquired copy number alterations (CNAs) were confirmed using an ultra-dense array comparative genomic hybridization platform. A total of 201 somatic CNAs were found in the 86 AML genomes (mean, 2.34 CNAs per genome), with French-American-British system M6 and M7 genomes containing the most changes (10–29 CNAs per genome). Twenty-four percent of AML patients with normal cytogenetics had CNA, whereas 40% of patients with an abnormal karyotype had additional CNA detected by SNP array, and several CNA regions were recurrent. The mRNA expression levels of 57 genes were significantly altered in 27 of 50 recurrent CNA regions <5 megabases in size. A total of 8 uniparental disomy (UPD) segments were identified in the 86 genomes; 6 of 8 UPD calls occurred in samples with a normal karyotype. Collectively, 34 of 86 AML genomes (40%) contained alterations not found with cytogenetics, and 98% of these regions contained genes. Of 86 genomes, 43 (50%) had no CNA or UPD at this level of resolution. In this study of 86 adult AML genomes, the use of an unbiased high-resolution genomic screen identified many genes not previously implicated in AML that may be relevant for pathogenesis, along with many known oncogenes and tumor suppressor genes.


Nature Genetics | 2007

Discovery of a previously unrecognized microdeletion syndrome of 16p11.2–p12.2

Blake C. Ballif; Sara A Hornor; Elizabeth A. Jenkins; Suneeta Madan-Khetarpal; Urvashi Surti; Kelly E. Jackson; Alexander Asamoah; Pamela Brock; Gordon C. Gowans; Robert Conway; John M. Graham; Livija Medne; Elaine H. Zackai; Tamim H. Shaikh; Joel Geoghegan; Rebecca R. Selzer; Peggy S. Eis; Bassem A. Bejjani; Lisa G. Shaffer

We have identified a recurrent de novo pericentromeric deletion in 16p11.2–p12.2 in four individuals with developmental disabilities by microarray-based comparative genomic hybridization analysis. The identification of common clinical features in these four individuals along with the characterization of complex segmental duplications flanking the deletion regions suggests that nonallelic homologous recombination mediated these rearrangements and that deletions in 16p11.2–p12.2 constitute a previously undescribed syndrome.


G3: Genes, Genomes, Genetics | 2012

A discovery resource of rare copy number variations in individuals with autism spectrum disorder.

Aparna Prasad; Daniele Merico; Bhooma Thiruvahindrapuram; John Wei; Anath C. Lionel; Daisuke Sato; Jessica Rickaby; Chao Lu; Peter Szatmari; Wendy Roberts; Bridget A. Fernandez; Christian R. Marshall; Eli Hatchwell; Peggy S. Eis; Stephen W. Scherer

The identification of rare inherited and de novo copy number variations (CNVs) in human subjects has proven a productive approach to highlight risk genes for autism spectrum disorder (ASD). A variety of microarrays are available to detect CNVs, including single-nucleotide polymorphism (SNP) arrays and comparative genomic hybridization (CGH) arrays. Here, we examine a cohort of 696 unrelated ASD cases using a high-resolution one-million feature CGH microarray, the majority of which were previously genotyped with SNP arrays. Our objective was to discover new CNVs in ASD cases that were not detected by SNP microarray analysis and to delineate novel ASD risk loci via combined analysis of CGH and SNP array data sets on the ASD cohort and CGH data on an additional 1000 control samples. Of the 615 ASD cases analyzed on both SNP and CGH arrays, we found that 13,572 of 21,346 (64%) of the CNVs were exclusively detected by the CGH array. Several of the CGH-specific CNVs are rare in population frequency and impact previously reported ASD genes (e.g., NRXN1, GRM8, DPYD), as well as novel ASD candidate genes (e.g., CIB2, DAPP1, SAE1), and all were inherited except for a de novo CNV in the GPHN gene. A functional enrichment test of gene-sets in ASD cases over controls revealed nucleotide metabolism as a potential novel pathway involved in ASD, which includes several candidate genes for follow-up (e.g., DPYD, UPB1, UPP1, TYMP). Finally, this extensively phenotyped and genotyped ASD clinical cohort serves as an invaluable resource for the next step of genome sequencing for complete genetic variation detection.


Nature Biotechnology | 2001

An invasive cleavage assay for direct quantitation of specific RNAs

Peggy S. Eis; Marilyn C. Olson; Tsetska Takova; Michelle L. Curtis; Sarah M. Olson; Tatiana I. Vener; Hon S. Ip; Kevin L. Vedvik; Christian Tor Bartholomay; Hatim T. Allawi; Wu-Po Ma; Jeff G. Hall; Michelle D. Morin; Tom Rushmore; Victor I. Lyamichev; Robert W. Kwiatkowski

RNA quantitation is becoming increasingly important in basic, pharmaceutical, and clinical research. For example, quantitation of viral RNAs can predict disease progression and therapeutic efficacy. Likewise, gene expression analysis of diseased versus normal, or untreated versus treated, tissue can identify relevant biological responses or assess the effects of pharmacological agents. As the focus of the Human Genome Project moves toward gene expression analysis, the field will require a flexible RNA analysis technology that can quantitatively monitor multiple forms of alternatively transcribed and/or processed RNAs (refs 3,4). We have applied the principles of invasive cleavage and engineered an improved 5′-nuclease to develop an isothermal, fluorescence resonance energy transfer (FRET)–based signal amplification method for detecting RNA in both total RNA and cell lysate samples. This detection format, termed the RNA invasive cleavage assay, obviates the need for target amplification or additional enzymatic signal enhancement. In this report, we describe the assay and present data demonstrating its capabilities for sensitive (<100 copies per reaction), specific (discrimination of 95% homologous sequences, 1 in ≥20,000), and quantitative (1.2-fold changes in RNA levels) detection of unamplified RNA in both single- and biplex-reaction formats.


Expert Review of Molecular Diagnostics | 2002

Invader technology for DNA and RNA analysis: principles and applications.

Monika de Arruda; Victor I. Lyamichev; Peggy S. Eis; Walter Iszczyszyn; Robert W. Kwiatkowski; Scott M. Law; Marilyn C. Olson; Eric B Rasmussen

Concomitant advances made by the Human Genome Project and in the development of nucleic acid screening technologies are driving the expansion of pharmacogenomic research and molecular diagnostics. However, most current technologies are restrictive due to their complexity and/or cost, limiting the potential of personalized medicine. The Invader® assay, which can be used for genotyping as well as for gene expression monitoring without the need for intervening target amplification steps, presents an immediate solution that is accurate, simple to use, scaleable and cost-effective.


Nucleic Acids Research | 2008

wuHMM: a robust algorithm to detect DNA copy number variation using long oligonucleotide microarray data

Patrick Cahan; Laura E. Godfrey; Peggy S. Eis; Todd Richmond; Rebecca R. Selzer; Michael Brent; Howard L. McLeod; Timothy J. Ley; Timothy A. Graubert

Copy number variants (CNVs) are currently defined as genomic sequences that are polymorphic in copy number and range in length from 1000 to several million base pairs. Among current array-based CNV detection platforms, long-oligonucleotide arrays promise the highest resolution. However, the performance of currently available analytical tools suffers when applied to these data because of the lower signal:noise ratio inherent in oligonucleotide-based hybridization assays. We have developed wuHMM, an algorithm for mapping CNVs from array comparative genomic hybridization (aCGH) platforms comprised of 385 000 to more than 3 million probes. wuHMM is unique in that it can utilize sequence divergence information to reduce the false positive rate (FPR). We apply wuHMM to 385K-aCGH, 2.1M-aCGH and 3.1M-aCGH experiments comparing the 129X1/SvJ and C57BL/6J inbred mouse genomes. We assess wuHMMs performance on the 385K platform by comparison to the higher resolution platforms and we independently validate 10 CNVs. The method requires no training data and is robust with respect to changes in algorithm parameters. At a FPR of <10%, the algorithm can detect CNVs with five probes on the 385K platform and three on the 2.1M and 3.1M platforms, resulting in effective resolutions of 24 kb, 2–5 kb and 1 kb, respectively.


Journal of Medical Genetics | 2016

Microduplications at the pseudoautosomal SHOX locus in autism spectrum disorders and related neurodevelopmental conditions

Maria Tropeano; Deirdre Howley; Matthew J. Gazzellone; C. Ellie Wilson; Joo Wook Ahn; Dimitri J. Stavropoulos; Clodagh Murphy; Peggy S. Eis; Eli Hatchwell; Richard Dobson; Dene Robertson; Muriel Holder; Melita Irving; Dragana Josifova; Mina Ryten; Debbie Spain; Mark Pitts; Jessica Bramham; Philip Asherson; Sarah Curran; Evangelos Vassos; Gerome Breen; Frances Flinter; Caroline Mackie Ogilvie; David A. Collier; Stephen W. Scherer; Grainne M. McAlonan; Declan Murphy

Background The pseudoautosomal short stature homeobox-containing (SHOX) gene encodes a homeodomain transcription factor involved in cell-cycle and growth regulation. SHOX/SHOX enhancers deletions cause short stature and skeletal abnormalities in a female-dominant fashion; duplications appear to be rare. Neurodevelopmental disorders (NDDs), such as autism spectrum disorders (ASDs), are complex disorders with high heritability and skewed sex ratio; several rare (<1% frequency) CNVs have been implicated in risk. Methods We analysed data from a discovery series of 90 adult ASD cases, who underwent clinical genetic testing by array-comparative genomic hybridisation (CGH). Twenty-seven individuals harboured CNV abnormalities, including two unrelated females with microduplications affecting SHOX. To determine the prevalence of SHOX duplications and delineate their associated phenotypic spectrum, we subsequently examined array-CGH data from a follow-up sample of 26 574 patients, including 18 857 with NDD (3541 with ASD). Results We found a significant enrichment of SHOX microduplications in the NDD cases (p=0.00036; OR 2.21) and, particularly, in those with ASD (p=9.18×10−7; OR 3.63) compared with 12 594 population-based controls. SHOX duplications affecting the upstream or downstream enhancers were enriched only in females with NDD (p=0.0043; OR 2.69/p=0.00020; OR 7.20), but not in males (p=0.404; OR 1.38/p=0.096; OR 2.21). Conclusions Microduplications at the SHOX locus are a low penetrance risk factor for ASD/NDD, with increased risk in both sexes. However, a concomitant duplication of SHOX enhancers may be required to trigger a NDD in females. Since specific SHOX isoforms are exclusively expressed in the developing foetal brain, this may reflect the pathogenic effect of altered SHOX protein dosage on neurodevelopment.

Collaboration


Dive into the Peggy S. Eis's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Hon S. Ip

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge