Dlec1 Is Required for Spermatogenesis and Male Fertility in Mice
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Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity Received: 11 November 2016 Audrey E
www.nature.com/scientificreports OPEN Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity Received: 11 November 2016 Audrey E. Hendricks1,2, Elena G. Bochukova3,4, Gaëlle Marenne1, Julia M. Keogh3, Neli Accepted: 10 April 2017 Atanassova3, Rebecca Bounds3, Eleanor Wheeler1, Vanisha Mistry3, Elana Henning3, Published: xx xx xxxx Understanding Society Scientific Group*, Antje Körner5,6, Dawn Muddyman1, Shane McCarthy1, Anke Hinney7, Johannes Hebebrand7, Robert A. Scott8, Claudia Langenberg8, Nick J. Wareham8, Praveen Surendran9, Joanna M. Howson9, Adam S. Butterworth9,10, John Danesh1,9,10, EPIC-CVD Consortium*, Børge G Nordestgaard11,12, Sune F Nielsen11,12, Shoaib Afzal11,12, SofiaPa padia3, SofieAshford 3, Sumedha Garg3, Glenn L. Millhauser13, Rafael I. Palomino13, Alexandra Kwasniewska3, Ioanna Tachmazidou1, Stephen O’Rahilly3, Eleftheria Zeggini1, UK10K Consortium*, Inês Barroso1,3 & I. Sadaf Farooqi3 Obesity is a genetically heterogeneous disorder. Using targeted and whole-exome sequencing, we studied 32 human and 87 rodent obesity genes in 2,548 severely obese children and 1,117 controls. We identified 52 variants contributing to obesity in 2% of cases including multiple novel variants in GNAS, which were sometimes found with accelerated growth rather than short stature as described previously. Nominally significant associations were found for rare functional variants inBBS1 , BBS9, GNAS, MKKS, CLOCK and ANGPTL6. The p.S284X variant in ANGPTL6 drives the association signal (rs201622589, MAF~0.1%, odds ratio = 10.13, p-value = 0.042) and results in complete loss of secretion in cells. Further analysis including additional case-control studies and population controls (N = 260,642) did not support association of this variant with obesity (odds ratio = 2.34, p-value = 2.59 × 10−3), highlighting the challenges of testing rare variant associations and the need for very large sample sizes. -
Leveraging Mouse Chromatin Data for Heritability Enrichment Informs Common Disease Architecture and Reveals Cortical Layer Contributions to Schizophrenia
Downloaded from genome.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press Research Leveraging mouse chromatin data for heritability enrichment informs common disease architecture and reveals cortical layer contributions to schizophrenia Paul W. Hook1 and Andrew S. McCallion1,2,3 1McKusick-Nathans Department of Genetic Medicine, 2Department of Comparative and Molecular Pathobiology, 3Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA Genome-wide association studies have implicated thousands of noncoding variants across common human phenotypes. However, they cannot directly inform the cellular context in which disease-associated variants act. Here, we use open chro- matin profiles from discrete mouse cell populations to address this challenge. We applied stratified linkage disequilibrium score regression and evaluated heritability enrichment in 64 genome-wide association studies, emphasizing schizophrenia. We provide evidence that mouse-derived human open chromatin profiles can serve as powerful proxies for difficult to ob- tain human cell populations, facilitating the illumination of common disease heritability enrichment across an array of hu- man phenotypes. We demonstrate that signatures from discrete subpopulations of cortical excitatory and inhibitory neurons are significantly enriched for schizophrenia heritability with maximal enrichment in cortical layer V excitatory neu- rons. We also show that differences between schizophrenia and bipolar disorder are concentrated in excitatory neurons in cortical layers II-III, IV, and V, as well as the dentate gyrus. Finally, we leverage these data to fine-map variants in 177 schiz- ophrenia loci nominating variants in 104/177. We integrate these data with transcription factor binding site, chromatin in- teraction, and validated enhancer data, placing variants in the cellular context where they may modulate risk. -
047605V1.Full.Pdf
bioRxiv preprint doi: https://doi.org/10.1101/047605; this version posted April 8, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Assembly and Activation of Dynein-Dynactin by the Cargo Adaptor Protein Hook3 Courtney M. Schroeder1,2 and Ronald D. Vale1,2 1The Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, California, USA 2Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, USA. Corresponding Author: Ronald D. Vale Dept. of Cellular and Molecular Pharmacology University of California, San Francisco Genentech Hall, MC 2200, Room N312A 600-16th Street San Francisco, CA 94158-2517 E-mail: [email protected] Phone: 415-476-6380 Fax: 415-514-4412 bioRxiv preprint doi: https://doi.org/10.1101/047605; this version posted April 8, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 2 Abstract Metazoan cytoplasmic dynein moves processively along microtubules with the aid of dynactin and an adaptor protein that joins dynein and dynactin into a stable ternary complex. Here, we have examined how Hook3, a cargo adaptor involved in Golgi and endosome transport, forms a motile dynein-dynactin complex. We show that the conserved Hook domain interacts directly with the dynein light intermediate chain 1 (LIC1). -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
Differential Expression of Hydroxyurea Transporters in Normal and Polycythemia Vera Hematopoietic Stem and Progenitor Cell Subpopulations
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2021 Differential expression of hydroxyurea transporters in normal and polycythemia vera hematopoietic stem and progenitor cell subpopulations Tan, Ge ; Meier-Abt, Fabienne Abstract: Polycythemia vera (PV) is a myeloproliferative neoplasm marked by hyperproliferation of the myeloid lineages and the presence of an activating JAK2 mutation. Hydroxyurea (HU) is a standard treat- ment for high-risk patients with PV. Because disease-driving mechanisms are thought to arise in PV stem cells, effective treatments should target primarily the stem cell compartment. We tested for theantipro- liferative effect of patient treatment with HU in fluorescence-activated cell sorting-isolated hematopoietic stem/multipotent progenitor cells (HSC/MPPs) and more committed erythroid progenitors (common myeloid/megakaryocyte-erythrocyte progenitors [CMP/MEPs]) in PV using RNA-sequencing and gene set enrichment analysis. HU treatment led to significant downregulation of gene sets associated with cell proliferation in PV HSCs/MPPs, but not in PV CMP/MEPs. To explore the mechanism underlying this finding, we assessed for expression of solute carrier membrane transporters, which mediate trans- membrane movement of drugs such as HU into target cells. The active HU uptake transporter OCTN1 was upregulated in HSC/MPPs compared with CMP/MEPs of untreated patients with PV, and the HU diffusion facilitator urea transporter B (UTB) was downregulated in HSC/MPPs compared withCM- P/MEPs in all patient and control groups tested. These findings indicate a higher accumulation ofHU within PV HSC/MPPs compared with PV CMP/MEPs and provide an explanation for the differential effects of HU in HSC/MPPs and CMP/MEPs of patients with PV. -
Loss of C. Elegans BBS-7 and BBS-8 Protein Function Results in Cilia Defects and Compromised Intraflagellar Transport
Downloaded from genesdev.cshlp.org on September 29, 2021 - Published by Cold Spring Harbor Laboratory Press Loss of C. elegans BBS-7 and BBS-8 protein function results in cilia defects and compromised intraflagellar transport Oliver E. Blacque,1 Michael J. Reardon,2 Chunmei Li,1 Jonathan McCarthy,1 Moe R. Mahjoub,3 Stephen J. Ansley,4 Jose L. Badano,4 Allan K. Mah,1 Philip L. Beales,6 William S. Davidson,1 Robert C. Johnsen,1 Mark Audeh,2 Ronald H.A. Plasterk,7 David L. Baillie,1 Nicholas Katsanis,4,5 Lynne M. Quarmby,3 Stephen R. Wicks,2 and Michel R. Leroux1,8 1Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, B.C. V5A 1S6, Canada; 2Department of Biology, Boston College, Chestnut Hill, Massachusetts 02467, USA; 3Department of Biological Sciences, Simon Fraser University, Burnaby, B.C. V5A 1S6, Canada; 4Institute of Genetic Medicine and 5Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland 21287, USA; 6Molecular Medicine Unit, Institute of Child Health, University College London, London WC1 1EH, UK; 7The Hubrecht Laboratory, Netherlands Institute of Developmental Biology, Uppsalalaan 8, 3584CT, Utrecht, The Netherlands Bardet-Biedl syndrome (BBS) is a genetically heterogeneous developmental disorder whose molecular basis is largely unknown. Here, we show that mutations in the Caenorhabditis elegans bbs-7 and bbs-8 genes cause structural and functional defects in cilia. C. elegans BBS proteins localize predominantly at the base of cilia, and like proteins involved in intraflagellar transport (IFT), a process necessary for cilia biogenesis and maintenance, move bidirectionally along the ciliary axoneme. Importantly, we demonstrate that BBS-7 and BBS-8 are required for the normal localization/motility of the IFT proteins OSM-5/Polaris and CHE-11, and to a notably lesser extent, CHE-2. -
Next Generation Massively Parallel Sequencing of Targeted
ARTICLE Next generation massively parallel sequencing of targeted exomes to identify genetic mutations in primary ciliary dyskinesia: Implications for application to clinical testing Jonathan S. Berg, MD, PhD1,2, James P. Evans, MD, PhD1,2, Margaret W. Leigh, MD3, Heymut Omran, MD4, Chris Bizon, PhD5, Ketan Mane, PhD5, Michael R. Knowles, MD2, Karen E. Weck, MD1,6, and Maimoona A. Zariwala, PhD6 Purpose: Advances in genetic sequencing technology have the potential rimary ciliary dyskinesia (PCD) is an autosomal recessive to enhance testing for genes associated with genetically heterogeneous Pdisorder involving abnormalities of motile cilia, resulting in clinical syndromes, such as primary ciliary dyskinesia. The objective of a range of manifestations including situs inversus, neonatal this study was to investigate the performance characteristics of exon- respiratory distress at full-term birth, recurrent otitis media, capture technology coupled with massively parallel sequencing for chronic sinusitis, chronic bronchitis that may result in bronchi- 1–3 clinical diagnostic evaluation. Methods: We performed a pilot study of ectasis, and male infertility. The disorder is genetically het- four individuals with a variety of previously identified primary ciliary erogeneous, rendering molecular diagnosis challenging given dyskinesia mutations. We designed a custom array (NimbleGen) to that mutations in nine different genes (DNAH5, DNAH11, capture 2089 exons from 79 genes associated with primary ciliary DNAI1, DNAI2, KTU, LRRC50, RSPH9, RSPH4A, and TX- dyskinesia or ciliary function and sequenced the enriched material using NDC3) account for only approximately 1/3 of PCD cases.4 the GS FLX Titanium (Roche 454) platform. Bioinformatics analysis DNAH5 and DNAI1 account for the majority of known muta- was performed in a blinded fashion in an attempt to detect the previ- tions, and the other genes each account for a small number of ously identified mutations and validate the process. -
Weight Patterns and Genetics in a Rare Obesity Syndrome
Received: 22 May 2020 Accepted: 30 June 2020 DOI: 10.1111/ijpo.12703 ORIGINAL RESEARCH Bardet-Biedl syndrome: Weight patterns and genetics in a rare obesity syndrome Jeremy Pomeroy1 | Anthony D. Krentz2 | Jesse G. Richardson1 | Richard L. Berg1 | Jeffrey J. VanWormer1 | Robert M. Haws1,3 1Clinical Research Center, Marshfield Clinic Research Institute, Marshfield, Wisconsin Summary 2Prevention Genetics, Marshfield, Wisconsin Background: Bardet-Biedl syndrome (BBS) is a rare genetic disorder that severely 3Department of Pediatrics, Marshfield Clinic inhibits primary cilia function. BBS is typified by obesity in adulthood, but pediatric Health System, Marshfield, Wisconsin weight patterns, and thus optimal periods of intervention, are poorly understood. Correspondence Objectives: To examine body mass differences by age, gender, and genotype in chil- Jeremy Pomeroy, Marshfield Clinic Research Institute, 1000 North Oak Ave, Marshfield, WI dren and adolescents with BBS. 54449. Methods: We utilized the largest international registry of BBS phenotypes. Anthro- Email: [email protected] pometric and genetic data were obtained from medical records or participant/family interviews. Participants were stratified by age and sex categories. Genotype and obe- sity phenotype were investigated in a subset of participants with available data. Results: Height and weight measurements were available for 552 unique individuals with BBS. The majority of birth weights were in the normal range, but rates of over- weight or obesity rapidly increased in early childhood, exceeding 90% after age 5. Weight z-scores in groups >2 years were above 2.0, while height z-scores approached 1.0, but were close to 0.0 in adolescents. Relative to those with the BBS10 genotype, the BBS1 cohort had a lower BMI z-score in the 2-5 and 6-11 age groups, with similar BMI z-scores thereafter. -
[Frontiers in Bioscience 13, 2633-2652, January 1, 2008] 2633 Intraflagellar Transport: from Molecular Characterisation to Mech
[Frontiers in Bioscience 13, 2633-2652, January 1, 2008] Intraflagellar transport: from molecular characterisation to mechanism Oliver E. Blacque1, Sebiha Cevik1, Oktay Ismail Kaplan1 1School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland TABLE OF CONTENTS 1. Abstract 2. Introduction 2.1. Scope of Review 2.2. Overview of cilia and flagella 2.2.1. Two classes of cilia: motile and non-motile 2.2.2. Cilium structure 2.2.3. The ‘ciliome’ 2.3. Discovery of IFT 2.4. IFT in outline 3. The IFT machinery: lessons from unicellular chlamydomonas 3.1. Kinesin 2: the anterograde IFT motor 3.2. IFT-dynein: the retrograde motor 3.3. The IFT particle 3.3.1. IFT particle complexes A and B are functionally distinct 4. IFT in metazoans: the C. elegans model 4.1. Structure/function of C. elegans sensory cilia 4.2. Not one, but two kinesin 2 motors drive C. elegans anterograde IFT 4.3. Novel IFT genes 4.4. Regulation of C. elegans anterograde IFT 4.4.1. bbs gene function coordinates kinesin 2 motor association 4.4.2. dyf-5 regulates the docking/undocking of kinesin 2 motors 5. Vertebrate IFT 5.1. IFT and disease 5.2. Investigation of mammalian IFT 6. IFT and cilium-based signalling 6.1. IFT and sonic hedgehog (Shh) signalling 6.2. IFT and PDGF-AA signalling 6.3. IFT directly mediates Chlamydomonas signalling during mating 7. IFT Cargo 8. IFT and the Cell cycle 9. Mechanism of IFT: a current model 10. Perspective 11. -
Inhibition of Neural Crest Migration Underlies Craniofacial Dysmorphology and Hirschsprung's Disease in Bardet–Biedl Syndrom
Inhibition of neural crest migration underlies craniofacial dysmorphology and Hirschsprung’s disease in Bardet–Biedl syndrome Jonathan L. Tobin*, Matt Di Franco†, Erica Eichers‡, Helen May-Simera*, Monica Garcia‡, Jiong Yan‡, Robyn Quinlan*, Monica J. Justice‡, Raoul C. Hennekam§¶, James Briscoeʈ, Masazumi Tada**, Roberto Mayor**, Alan J. Burns††, James R. Lupski‡, Peter Hammond*†, and Philip L. Beales*‡‡ *Molecular Medicine Unit, UCL Institute of Child Health, 30 Guilford Street, London WC1N 1EH, United Kingdom; †Biomedical Informatics Unit, UCL Eastman Dental Institute for Oral Health Care Sciences, 256 Gray’s Inn Road, London WC1X 8LD, United Kingdom; ‡Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030; ʈDevelopmental Neurobiology, National Institute for Medical Research, London NW7 1AA, United Kingdom; **Department of Anatomy and Developmental Biology, University College London, London WC1E 6BT, United Kingdom; ††Neural Development Unit, UCL Institute of Child Health, 30 Guilford Street, London WC1N 1EH, United Kingdom; §Clinical and Molecular Genetics Unit, UCL Institute of Child Health, 30 Guilford Street, London WC1N 1EH, United Kingdom; and ¶Department of Pediatrics, Academic Medical Centre, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands Edited by Kathryn V. Anderson, Sloan–Kettering Institute, New York, NY, and approved March 6, 2008 (received for review July 30, 2007) Facial recognition is central to the diagnosis of many syndromes, oral ectoderm is essential for the formation of most facial structures and craniofacial patterns may reflect common etiologies. In the (12). Shh-deficient mice have severe loss of craniofacial bones, and, pleiotropic Bardet–Biedl syndrome (BBS), a primary ciliopathy with in humans, SHH mutations cause midline CF defects with holo- intraflagellar transport dysfunction, patients have a characteristic prosencephaly (HPE) (12). -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A.