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Dive into the research topics where Alex S. Nord is active.

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Featured researches published by Alex S. Nord.


Science | 2008

Rare Structural Variants Disrupt Multiple Genes in Neurodevelopmental Pathways in Schizophrenia

Tom Walsh; Jon McClellan; Shane McCarthy; Anjene Addington; Sarah B. Pierce; Greg M. Cooper; Alex S. Nord; Mary Kusenda; Dheeraj Malhotra; Abhishek Bhandari; Sunday M. Stray; Caitlin Rippey; Patricia Roccanova; Vlad Makarov; B. Lakshmi; Robert L. Findling; Linmarie Sikich; Thomas Stromberg; Barry Merriman; Nitin Gogtay; Philip Butler; Kristen Eckstrand; Laila Noory; Peter Gochman; Robert Long; Zugen Chen; Sean Davis; Carl Baker; Evan E. Eichler; Paul S. Meltzer

Schizophrenia is a devastating neurodevelopmental disorder whose genetic influences remain elusive. We hypothesize that individually rare structural variants contribute to the illness. Microdeletions and microduplications >100 kilobases were identified by microarray comparative genomic hybridization of genomic DNA from 150 individuals with schizophrenia and 268 ancestry-matched controls. All variants were validated by high-resolution platforms. Novel deletions and duplications of genes were present in 5% of controls versus 15% of cases and 20% of young-onset cases, both highly significant differences. The association was independently replicated in patients with childhood-onset schizophrenia as compared with their parents. Mutations in cases disrupted genes disproportionately from signaling networks controlling neurodevelopment, including neuregulin and glutamate pathways. These results suggest that multiple, individually rare mutations altering genes in neurodevelopmental pathways contribute to schizophrenia.


Proceedings of the National Academy of Sciences of the United States of America | 2011

Mutations in 12 genes for inherited ovarian, fallopian tube, and peritoneal carcinoma identified by massively parallel sequencing

Tom Walsh; Silvia Casadei; Ming K. Lee; Christopher Pennil; Alex S. Nord; Anne M. Thornton; Wendy Roeb; Kathy Agnew; Sunday M. Stray; Anneka Wickramanayake; Barbara M. Norquist; K. Pennington; Rochelle L. Garcia; Mary Claire King; Elizabeth M. Swisher

Inherited loss-of-function mutations in BRCA1 and BRCA2 and other tumor suppressor genes predispose to ovarian carcinomas, but the overall burden of disease due to inherited mutations is not known. Using targeted capture and massively parallel genomic sequencing, we screened for germ-line mutations in 21 tumor suppressor genes in genomic DNA from women with primary ovarian, peritoneal, or fallopian tube carcinoma. Subjects were consecutively enrolled at diagnosis and not selected for age or family history. All classes of mutations, including point mutations and large genomic deletions and insertions, were detected. Of 360 subjects, 24% carried germ-line loss-of-function mutations: 18% in BRCA1 or BRCA2 and 6% in BARD1, BRIP1, CHEK2, MRE11A, MSH6, NBN, PALB2, RAD50, RAD51C, or TP53. Six of these genes were not previously implicated in inherited ovarian carcinoma. Primary carcinomas were generally characterized by genomic loss of normal alleles of the mutant genes. Of women with inherited mutations, >30% had no family history of breast or ovarian carcinoma, and >35% were 60 y or older at diagnosis. More patients with ovarian carcinoma carry cancer-predisposing mutations and in more genes than previously appreciated. Comprehensive genetic testing for inherited carcinoma is warranted for all women with ovarian, peritoneal, or fallopian tube carcinoma, regardless of age or family history. Clinical genetic testing is currently done gene by gene, with each test costing thousands of dollars. In contrast, massively parallel sequencing allows such testing for many genes simultaneously at low cost.


Proceedings of the National Academy of Sciences of the United States of America | 2010

Detection of inherited mutations for breast and ovarian cancer using genomic capture and massively parallel sequencing

Tom Walsh; Ming K. Lee; Silvia Casadei; Anne M. Thornton; Sunday M. Stray; Christopher Pennil; Alex S. Nord; Jessica B. Mandell; Elizabeth M. Swisher; Mary Claire King

Inherited loss-of-function mutations in the tumor suppressor genes BRCA1, BRCA2, and multiple other genes predispose to high risks of breast and/or ovarian cancer. Cancer-associated inherited mutations in these genes are collectively quite common, but individually rare or even private. Genetic testing for BRCA1 and BRCA2 mutations has become an integral part of clinical practice, but testing is generally limited to these two genes and to women with severe family histories of breast or ovarian cancer. To determine whether massively parallel, “next-generation” sequencing would enable accurate, thorough, and cost-effective identification of inherited mutations for breast and ovarian cancer, we developed a genomic assay to capture, sequence, and detect all mutations in 21 genes, including BRCA1 and BRCA2, with inherited mutations that predispose to breast or ovarian cancer. Constitutional genomic DNA from subjects with known inherited mutations, ranging in size from 1 to >100,000 bp, was hybridized to custom oligonucleotides and then sequenced using a genome analyzer. Analysis was carried out blind to the mutation in each sample. Average coverage was >1200 reads per base pair. After filtering sequences for quality and number of reads, all single-nucleotide substitutions, small insertion and deletion mutations, and large genomic duplications and deletions were detected. There were zero false-positive calls of nonsense mutations, frameshift mutations, or genomic rearrangements for any gene in any of the test samples. This approach enables widespread genetic testing and personalized risk assessment for breast and ovarian cancer.


Clinical Cancer Research | 2014

Germline and Somatic Mutations in Homologous Recombination Genes Predict Platinum Response and Survival in Ovarian, Fallopian Tube, and Peritoneal Carcinomas

K. Pennington; Tom Walsh; Maria I. Harrell; Ming K. Lee; Christopher Pennil; Mara H. Rendi; Anne M. Thornton; Barbara M. Norquist; Silvia Casadei; Alex S. Nord; Kathy Agnew; Colin C. Pritchard; Sheena Scroggins; Rochelle L. Garcia; Mary Claire King; Elizabeth M. Swisher

Purpose: Hallmarks of germline BRCA1/2-associated ovarian carcinomas include chemosensitivity and improved survival. The therapeutic impact of somatic BRCA1/2 mutations and mutations in other homologous recombination DNA repair genes is uncertain. Experimental Design: Using targeted capture and massively parallel genomic sequencing, we assessed 390 ovarian carcinomas for germline and somatic loss-of-function mutations in 30 genes, including BRCA1, BRCA2, and 11 other genes in the homologous recombination pathway. Results: Thirty-one percent of ovarian carcinomas had a deleterious germline (24%) and/or somatic (9%) mutation in one or more of the 13 homologous recombination genes: BRCA1, BRCA2, ATM, BARD1, BRIP1, CHEK1, CHEK2, FAM175A, MRE11A, NBN, PALB2, RAD51C, and RAD51D. Nonserous ovarian carcinomas had similar rates of homologous recombination mutations to serous carcinomas (28% vs. 31%, P = 0.6), including clear cell, endometrioid, and carcinosarcoma. The presence of germline and somatic homologous recombination mutations was highly predictive of primary platinum sensitivity (P = 0.0002) and improved overall survival (P = 0.0006), with a median overall survival of 66 months in germline homologous recombination mutation carriers, 59 months in cases with a somatic homologous recombination mutation, and 41 months for cases without a homologous recombination mutation. Conclusions: Germline or somatic mutations in homologous recombination genes are present in almost one third of ovarian carcinomas, including both serous and nonserous histologies. Somatic BRCA1/2 mutations and mutations in other homologous recombination genes have a similar positive impact on overall survival and platinum responsiveness as germline BRCA1/2 mutations. The similar rate of homologous recombination mutations in nonserous carcinomas supports their inclusion in PARP inhibitor clinical trials. Clin Cancer Res; 20(3); 764–75. ©2013 AACR.


The Journal of Molecular Diagnostics | 2012

ColoSeq Provides Comprehensive Lynch and Polyposis Syndrome Mutational Analysis Using Massively Parallel Sequencing

Colin C. Pritchard; Christina Smith; Stephen J. Salipante; Ming K. Lee; Anne M. Thornton; Alex S. Nord; Cassandra Gulden; Sonia S. Kupfer; Elizabeth M. Swisher; Robin L. Bennett; Akiva P. Novetsky; Gail P. Jarvik; Olufunmilayo I. Olopade; Paul J. Goodfellow; Mary Claire King; Jonathan F. Tait; Tom Walsh

Lynch syndrome (hereditary nonpolyposis colon cancer) and adenomatous polyposis syndromes frequently have overlapping clinical features. Current approaches for molecular genetic testing are often stepwise, taking a best-candidate gene approach with testing of additional genes if initial results are negative. We report a comprehensive assay called ColoSeq that detects all classes of mutations in Lynch and polyposis syndrome genes using targeted capture and massively parallel next-generation sequencing on the Illumina HiSeq2000 instrument. In blinded specimens and colon cancer cell lines with defined mutations, ColoSeq correctly identified 28/28 (100%) pathogenic mutations in MLH1, MSH2, MSH6, PMS2, EPCAM, APC, and MUTYH, including single nucleotide variants (SNVs), small insertions and deletions, and large copy number variants. There was 100% reproducibility of detection mutation between independent runs. The assay correctly identified 222 of 224 heterozygous SNVs (99.4%) in HapMap samples, demonstrating high sensitivity of calling all variants across each captured gene. Average coverage was greater than 320 reads per base pair when the maximum of 96 index samples with barcodes were pooled. In a specificity study of 19 control patients without cancer from different ethnic backgrounds, we did not find any pathogenic mutations but detected two variants of uncertain significance. ColoSeq offers a powerful, cost-effective means of genetic testing for Lynch and polyposis syndromes that eliminates the need for stepwise testing and multiple follow-up clinical visits.


Science | 2013

Fine Tuning of Craniofacial Morphology by Distant-Acting Enhancers

Catia Attanasio; Alex S. Nord; Yiwen Zhu; Matthew J. Blow; Zirong Li; Denise K. Liberton; Harris Morrison; Ingrid Plajzer-Frick; Amy Holt; Roya Hosseini; Sengthavy Phouanenavong; Jennifer A. Akiyama; Malak Shoukry; Veena Afzal; Edward M. Rubin; David Fitzpatrick; Bing Ren; Benedikt Hallgrímsson; Len A. Pennacchio; Axel Visel

Introduction The shape of the face is one of the most distinctive features among humans, and differences in facial morphology have substantial implications in areas such as social interaction, psychology, forensics, and clinical genetics. Craniofacial shape is highly heritable, including the normal spectrum of morphological variation as well as susceptibility to major craniofacial birth defects. In this study, we explored the role of transcriptional enhancers in the development of the craniofacial complex. Our study is based on the rationale that such enhancers, which can be hundreds of kilobases away from their target genes, regulate the spatial patterns, levels, and timing of gene expression in normal development. Craniofacial developmental enhancers contribute to craniofacial morphology. We identified distant-acting transcriptional enhancers active in the developing craniofacial complex and studied their activity patterns in detail in transgenic mice (left). Selected enhancers were deleted from the genome in mice in order to examine their role in modulating craniofacial morphology, which revealed subtle but significant effects of enhancers on the shape of the face and skull (right). Methods To identify distant-acting enhancers active during craniofacial development, we used chromatin immunoprecipitation on embryonic mouse face tissue followed by sequencing to identify noncoding genome regions bound by the enhancer-associated p300 protein. We used LacZ reporter assays in transgenic mice and optical projection tomography (OPT) to determine three-dimensional expression patterns of a subset of these candidate enhancers. Last, we deleted three of the craniofacial enhancers from the mouse genome to assess their effect on gene expression and craniofacial morphology during development. Results We identified more than 4000 candidate enhancer sequences predicted to be active in the developing craniofacial complex. The majority of these sequences are at least partially conserved between humans and mice, and many are located in chromosomal regions associated with normal facial morphology or craniofacial birth defects. Characterization of more than 200 candidate enhancer sequences in transgenic mice revealed a remarkable spatial complexity of in vivo expression patterns. Targeted deletions of three craniofacial enhancers near genes with known roles in craniofacial development resulted in changes of expression of those genes as well as quantitatively subtle but definable alterations of craniofacial shape. Discussion Our analysis identifies enhancers that fine tune expression of genes during craniofacial development in mice. These results support that variation in the sequence or copy number of craniofacial enhancers may contribute to the spectrum of facial variation we find in human populations. Because many craniofacial enhancers are located in genome regions associated with craniofacial birth defects, such as clefts of the lip and palate, our results also offer a starting point for exploring the contribution of noncoding sequences to these disorders. No Two Faces Are Alike Gene disruptions can cause severe dysmorphologies like cleft palate, but what causes the subtle shifts in facial morphology that make each face unique? Studying mice, Attanasio et al. (1241006) identified over 4000 candidate genetic enhancers around genes driving craniofacial development. To avoid the challenge of recognizing individual mouse faces, optical projection tomography was used to link changes in facial morphology with alterations in the function of specific enhancers. Targeted deletion of individual craniofacial enhancers from the mouse genome sculpts facial shapes. The shape of the human face and skull is largely genetically determined. However, the genomic basis of craniofacial morphology is incompletely understood and hypothesized to involve protein-coding genes, as well as gene regulatory sequences. We used a combination of epigenomic profiling, in vivo characterization of candidate enhancer sequences in transgenic mice, and targeted deletion experiments to examine the role of distant-acting enhancers in craniofacial development. We identified complex regulatory landscapes consisting of enhancers that drive spatially complex developmental expression patterns. Analysis of mouse lines in which individual craniofacial enhancers had been deleted revealed significant alterations of craniofacial shape, demonstrating the functional importance of enhancers in defining face and skull morphology. These results demonstrate that enhancers are involved in craniofacial development and suggest that enhancer sequence variation contributes to the diversity of human facial morphology.


Cell | 2013

A High-Resolution Enhancer Atlas of the Developing Telencephalon

Axel Visel; Leila Taher; Hani Z. Girgis; Dalit May; Olga Golonzhka; Renée V. Hoch; Gabriel L. McKinsey; Kartik Pattabiraman; Shanni N. Silberberg; Matthew J. Blow; David V. Hansen; Alex S. Nord; Jennifer A. Akiyama; Amy Holt; Roya Hosseini; Sengthavy Phouanenavong; Ingrid Plajzer-Frick; Malak Shoukry; Veena Afzal; Tommy Kaplan; Arnold R. Kriegstein; Edward M. Rubin; Ivan Ovcharenko; Len A. Pennacchio; John L.R. Rubenstein

The mammalian telencephalon plays critical roles in cognition, motor function, and emotion. Though many of the genes required for its development have been identified, the distant-acting regulatory sequences orchestrating their in vivo expression are mostly unknown. Here, we describe a digital atlas of in vivo enhancers active in subregions of the developing telencephalon. We identified more than 4,600 candidate embryonic forebrain enhancers and studied the in vivo activity of 329 of these sequences in transgenic mouse embryos. We generated serial sets of histological brain sections for 145 reproducible forebrain enhancers, resulting in a publicly accessible web-based data collection comprising more than 32,000 sections. We also used epigenomic analysis of human and mouse cortex tissue to directly compare the genome-wide enhancer architecture in these species. These data provide a primary resource for investigating gene regulatory mechanisms of telencephalon development and enable studies of the role of distant-acting enhancers in neurodevelopmental disorders.


Nucleic Acids Research | 2006

The International Gene Trap Consortium Website: a portal to all publicly available gene trap cell lines in mouse

Alex S. Nord; Patricia J. Chang; Bruce R. Conklin; Antony V. Cox; Courtney A. Harper; Geoffrey G Hicks; Conrad C. Huang; Susan J. Johns; Michiko Kawamoto; Songyan Liu; Elaine C. Meng; John H. Morris; Janet Rossant; Patricia Ruiz; William C. Skarnes; Philippe Soriano; William L. Stanford; Doug Stryke; Harald von Melchner; Wolfgang Wurst; Ken-ichi Yamamura; Stephen G. Young; Patricia C. Babbitt; Thomas E. Ferrin

Gene trapping is a method of generating murine embryonic stem (ES) cell lines containing insertional mutations in known and novel genes. A number of international groups have used this approach to create sizeable public cell line repositories available to the scientific community for the generation of mutant mouse strains. The major gene trapping groups worldwide have recently joined together to centralize access to all publicly available gene trap lines by developing a user-oriented Website for the International Gene Trap Consortium (IGTC). This collaboration provides an impressive public informatics resource comprising ∼45 000 well-characterized ES cell lines which currently represent ∼40% of known mouse genes, all freely available for the creation of knockout mice on a non-collaborative basis. To standardize annotation and provide high confidence data for gene trap lines, a rigorous identification and annotation pipeline has been developed combining genomic localization and transcript alignment of gene trap sequence tags to identify trapped loci. This information is stored in a new bioinformatics database accessible through the IGTC Website interface. The IGTC Website () allows users to browse and search the database for trapped genes, BLAST sequences against gene trap sequence tags, and view trapped genes within biological pathways. In addition, IGTC data have been integrated into major genome browsers and bioinformatics sites to provide users with outside portals for viewing this data. The development of the IGTC Website marks a major advance by providing the research community with the data and tools necessary to effectively use public gene trap resources for the large-scale characterization of mammalian gene function.


BMC Genomics | 2011

Accurate and exact CNV identification from targeted high-throughput sequence data

Alex S. Nord; Ming-Ming Lee; Mary Claire King; Tom Walsh

BackgroundMassively parallel sequencing of barcoded DNA samples significantly increases screening efficiency for clinically important genes. Short read aligners are well suited to single nucleotide and indel detection. However, methods for CNV detection from targeted enrichment are lacking. We present a method combining coverage with map information for the identification of deletions and duplications in targeted sequence data.ResultsSequencing data is first scanned for gains and losses using a comparison of normalized coverage data between samples. CNV calls are confirmed by testing for a signature of sequences that span the CNV breakpoint. With our method, CNVs can be identified regardless of whether breakpoints are within regions targeted for sequencing. For CNVs where at least one breakpoint is within targeted sequence, exact CNV breakpoints can be identified. In a test data set of 96 subjects sequenced across ~1 Mb genomic sequence using multiplexing technology, our method detected mutations as small as 31 bp, predicted quantitative copy count, and had a low false-positive rate.ConclusionsApplication of this method allows for identification of gains and losses in targeted sequence data, providing comprehensive mutation screening when combined with a short read aligner.


European Journal of Cardio-Thoracic Surgery | 2009

Predictors of impaired neurodevelopmental outcomes at one year of age after infant cardiac surgery

Stephanie Fuller; Alex S. Nord; Marsha Gerdes; Gil Wernovsky; Gail P. Jarvik; Judy Bernbaum; Elaine H. Zackai; James William Gaynor

OBJECTIVE For most newborns, congenital heart defects (CHD) appear to be isolated anomalies and the brain is presumed to have normal developmental potential. Most studies of neurodevelopmental outcomes have focused on operative management strategies. METHODS Infants with complex CHD and no identified syndromes other than 22q11 microdeletions enrolled in a study of apolipoprotein E (APOE) polymorphisms and developmental outcome were evaluated at one year of age; including genetic evaluation and the Bayley Scales of Infant Development-II [mental (MDI) and psychomotor developmental indices (PDI)]. RESULTS Five hundred and fifty infants enrolled and 359 (20 with 22q11) of 501 survivors (72%) returned. Mean MDI was 90+/-15 and PDI was 78+/-18. Genetic syndromes not identified at birth were confirmed in 28 (8.1%) and suspected in 51 (15.0%). By multivariable analysis, suspected/confirmed genetic syndromes and APOE varepsilon2 allele predicted lower MDI and PDI, all p<0.04. Lower birth weight (p<0.001) and preoperative intubation (p=0.012) predicted lower MDI. Higher hematocrit during the initial operation was associated with higher MDI (p=0.007). Longer postoperative length of stay was predictive of lower PDI (p=0.002). Additional operations with cardiopulmonary bypass were associated with lower MDI and PDI (both p<0.002), but use of deep hypothermic circulatory arrest was not. CONCLUSIONS Patient factors (birth weight and preoperative status) are significant determinants of neurodevelopmental outcomes as opposed to operative management strategies. In this cohort, genetic syndromes unsuspected at birth were surprisingly common and correlate with poor neurodevelopmental outcomes. Without multiple congenital anomalies, syndromes may be missed in infancy. Genetic evaluation should be considered in all infants with CHD.

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Axel Visel

Lawrence Berkeley National Laboratory

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Gail P. Jarvik

University of Washington

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Tom Walsh

University of Washington

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Len A. Pennacchio

Lawrence Berkeley National Laboratory

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Ming K. Lee

University of Washington

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Veena Afzal

Lawrence Berkeley National Laboratory

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Gil Wernovsky

University of Pennsylvania

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Ingrid Plajzer-Frick

Lawrence Berkeley National Laboratory

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