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Post-Mortem Whole-Exome Analysis in a Large Sudden Infant Death Syndrome Cohort with a Focus on Cardiovascular and Metabolic Genetic Diseases
European Journal of Human Genetics (2017) 25, 404–409 & 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 1018-4813/17 www.nature.com/ejhg ARTICLE Post-mortem whole-exome analysis in a large sudden infant death syndrome cohort with a focus on cardiovascular and metabolic genetic diseases Jacqueline Neubauer*,1, Maria Rita Lecca2, Giancarlo Russo2, Christine Bartsch3, Argelia Medeiros-Domingo4, Wolfgang Berger5,6,7 and Cordula Haas1 Sudden infant death syndrome (SIDS) is described as the sudden and unexplained death of an apparently healthy infant younger than one year of age. Genetic studies indicate that up to 35% of SIDS cases might be explained by familial or genetic diseases such as cardiomyopathies, ion channelopathies or metabolic disorders that remained undetected during conventional forensic autopsy procedures. Post-mortem genetic testing by using massive parallel sequencing (MPS) approaches represents an efficient and rapid tool to further investigate unexplained death cases and might help to elucidate pathogenic genetic variants and mechanisms in cases without a conclusive cause of death. In this study, we performed whole-exome sequencing (WES) in 161 European SIDS infants with focus on 192 genes associated with cardiovascular and metabolic diseases. Potentially causative variants were detected in 20% of the SIDS cases. The majority of infants had variants with likely functional effects in genes associated with channelopathies (9%), followed by cardiomyopathies (7%) and metabolic diseases (1%). Although lethal arrhythmia represents the most plausible and likely cause of death, the majority of SIDS cases still remains elusive and might be explained by a multifactorial etiology, triggered by a combination of different genetic and environmental risk factors. -
Identification of Polycystic Kidney Disease 1 Like 1 Gene Variants In
HEPATOLOGY, VOL. 70, NO. 3, 2019 AUTOIMMUNE, CHOLESTaTIc aND BILIaRY DISEaSE Identification of Polycystic Kidney Disease 1 Like 1 Gene Variants in Children With Biliary Atresia Splenic Malformation Syndrome 1 1 1 2 2 2 3 John-Paul Berauer, Anya I. Mezina, David T. Okou, Aniko Sabo, Donna M. Muzny, Richard A. Gibbs, Madhuri R. Hegde, 3 3 4 5 6 7 Pankaj Chopra, David J. Cutler, David H. Perlmutter, Laura N. Bull, Richard J. Thompson, Kathleen M. Loomes, 8 8,9 10 11 11 12 Nancy B. Spinner, Ramakrishnan Rajagopalan, Stephen L. Guthery, Barry Moore, Mark Yandell, Sanjiv Harpavat, 13 14 15 16 17 18 John C. Magee, Binita M. Kamath, Jean P. Molleston, Jorge A. Bezerra , Karen F. Murray, Estella M. Alonso, 19 20 21 22 23 24 Philip Rosenthal, Robert H. Squires, Kasper S. Wang, Milton J. Finegold, Pierre Russo, Averell H. Sherker, 25 1 Ronald J. Sokol, and Saul J. Karpen ; for the Childhood Liver Disease Research Network (ChiLDReN) Biliary atresia (BA) is the most common cause of end-stage liver disease in children and the primary indication for pediatric liver transplantation, yet underlying etiologies remain unknown. Approximately 10% of infants affected by BA exhibit various laterality defects (heterotaxy) including splenic abnormalities and complex cardiac malforma- tions—a distinctive subgroup commonly referred to as the biliary atresia splenic malformation (BASM) syndrome. We hypothesized that genetic factors linking laterality features with the etiopathogenesis of BA in BASM patients could be identified through whole-exome sequencing (WES) of an affected cohort. DNA specimens from 67 BASM subjects, including 58 patient–parent trios, from the National Institute of Diabetes and Digestive and Kidney Diseases–supported Childhood Liver Disease Research Network (ChiLDReN) underwent WES. -
Cardiomyopathy
UNIVERSITY OF MINNESOTA PHYSICIANS OUTREACH LABS Submit this form along with the appropriate MOLECULAR DIAGNOSTICS (612) 273-8445 Molecular requisition (Molecular Diagnostics or DATE: TIME COLLECTED: PCU/CLINIC: Molecular NGS Oncology). AM PM PATIENT IDENTIFICATION DIAGNOSIS (Dx) / DIAGNOSIS CODES (ICD-9) - OUTPATIENTS ONLY SPECIMEN TYPE: o Blood (1) (2) (3) (4) PLEASE COLLECT 5-10CC IN ACD-A OR EDTA TUBE ORDERING PHYSICIAN NAME AND PHONE NUMBER: Tests can be ordered as a full panel, or by individual gene(s). Please contact the genetic counselor with any questions at 612-624-8948 or by pager at 612-899-3291. _______________________________________________ Test Ordered- EPIC: Next generation sequencing(Next Gen) Sunquest: NGS Brugada syndrome DMD Aortopathy Full panel DNAJC19 SCN5A DSP Full panel GPD1L Cardiomyopathy, familial MYH11 CACNA1C hypertrophic ACTA2 SCN1B Full panel MYLK KCNE3 ANKRD1 FBN2 SCN3B JPH2 SLC2A10 HCN4 PRKAG2 COL5A2 MYH7 COL5A1 MYL2 COL3A1 Cardiomyopathy ACTC1 CBS Cardiomyopathy, dilated CSRP3 SMAD3 Full panel TNNC1 TGFBR1 LDB3 MYH6 TGFBR2 LMNA VCL FBN1 ACTN2 MYOZ2 Arrhythmogenic right ventricular DSG2 PLN dysplasia NEXN CALR3 TNNT2 TNNT2 NEXN Full panel RBM20 TPM1 TGFB3 SCN5A MYBPC3 DSG2 MYH6 TNNI3 DSC2 TNNI3 MYL3 JUP TTN TTN RYR2 BAG3 MYLK2 TMEM43 DES Cardiomyopathy, familial DSP CRYAB EYA4 restrictive PKP2 Full panel Atrial fibrillation LAMA4 MYPN TNNI3 SGCD MYPN TNNT2 Full panel CSRP3 SCN5A MYBPC3 GJA5 TCAP ABCC9 ABCC9 SCN1B PLN SCN2B ACTC1 KCNQ1 MYH7 KCNE2 TMPO NPPA VCL NPPA TPM1 KCNA5 TNNC1 KCNJ2 GATAD1 4/1/2014 -
Evolutionary Genomics of a Plastic Life History Trait: Galaxias Maculatus Amphidromous and Resident Populations
EVOLUTIONARY GENOMICS OF A PLASTIC LIFE HISTORY TRAIT: GALAXIAS MACULATUS AMPHIDROMOUS AND RESIDENT POPULATIONS by María Lisette Delgado Aquije Submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy at Dalhousie University Halifax, Nova Scotia August 2021 Dalhousie University is located in Mi'kma'ki, the ancestral and unceded territory of the Mi'kmaq. We are all Treaty people. © Copyright by María Lisette Delgado Aquije, 2021 I dedicate this work to my parents, María and José, my brothers JR and Eduardo for their unconditional love and support and for always encouraging me to pursue my dreams, and to my grandparents Victoria, Estela, Jesús, and Pepe whose example of perseverance and hard work allowed me to reach this point. ii TABLE OF CONTENTS LIST OF TABLES ............................................................................................................ vii LIST OF FIGURES ........................................................................................................... ix ABSTRACT ...................................................................................................................... xii LIST OF ABBREVIATION USED ................................................................................ xiii ACKNOWLEDGMENTS ................................................................................................ xv CHAPTER 1. INTRODUCTION ....................................................................................... 1 1.1 Galaxias maculatus .................................................................................................. -
Minding the Calcium Store: Ryanodine Receptor Activation As a Convergent Mechanism of PCB Toxicity
Pharmacology & Therapeutics 125 (2010) 260–285 Contents lists available at ScienceDirect Pharmacology & Therapeutics journal homepage: www.elsevier.com/locate/pharmthera Associate Editor: Carey Pope Minding the calcium store: Ryanodine receptor activation as a convergent mechanism of PCB toxicity Isaac N. Pessah ⁎, Gennady Cherednichenko, Pamela J. Lein Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA 95616, USA article info abstract Keywords: Chronic low-level polychlorinated biphenyl (PCB) exposures remain a significant public health concern since Ryanodine receptor (RyR) results from epidemiological studies indicate that PCB burden is associated with immune system Calcium-induced calcium release dysfunction, cardiovascular disease, and impairment of the developing nervous system. Of these various Calcium regulation adverse health effects, developmental neurotoxicity has emerged as a particularly vulnerable endpoint in Polychlorinated biphenyls PCB toxicity. Arguably the most pervasive biological effects of PCBs could be mediated by their ability to alter Triclosan fi 2+ Bastadins the spatial and temporal delity of Ca signals through one or more receptor-mediated processes. This Polybrominated diphenylethers review will focus on our current knowledge of the structure and function of ryanodine receptors (RyRs) in Developmental neurotoxicity muscle and nerve cells and how PCBs and related non-coplanar structures alter these functions. The Activity dependent plasticity molecular and cellular mechanisms by which non-coplanar PCBs and related structures alter local and global Ca2+ signaling properties and the possible short and long-term consequences of these perturbations on neurodevelopment and neurodegeneration are reviewed. © 2009 Elsevier Inc. All rights reserved. Contents 1. Introduction ............................................... 260 2. Ryanodine receptor macromolecular complexes: significance to polychlorinated biphenyl-mediated Ca2+ dysregulation . -
Next Generation Sequencing for Molecular Confirmation of Hereditary
Arch Cardiol Mex. 2015;85(1):68---72 www.elsevier.com.mx SPECIAL ARTICLE Next generation sequencing for molecular confirmation of hereditary sudden cardiac death syndromes a,∗ b b b Manlio F. Márquez , David Cruz-Robles , Selene Ines-Real , Gilberto Vargas-Alarcón , a Manuel Cárdenas a Departamento de Electrofisiología, Instituto Nacional de Cardiología Ignacio Chávez, México, D.F., Mexico b Departamento de Biología Molecular, Instituto Nacional de Cardiología Ignacio Chávez, México, D.F., Mexico Received 26 March 2014; accepted 8 December 2014 KEYWORDS Abstract Hereditary sudden cardiac death syndromes comprise a wide range of diseases result- Arrhythmias; ing from alteration in cardiac ion channels. Genes involved in these syndromes represent diverse Hereditary sudden mutations that cause the altered encoding of the diverse proteins constituting these channels, cardiac death thus affecting directly the currents of the corresponding ions. In the present article we will syndromes; briefly review how to arrive to a clinical diagnosis and we will present the results of molecular Right ventricle genetic studies made in Mexican subjects attending the SCD Syndromes Clinic of the National arrhythmogenic Institute of Cardiology of Mexico City. cardiomyopathy; © 2014 Instituto Nacional de Cardiología Ignacio Chávez. Published by Masson Doyma México Brugada syndrome S.A. All rights reserved. PALABRAS CLAVE Confirmación diagnóstica molecular mediante secuenciación masiva de nueva Arritmias; generación (‘‘next generation sequencing’’) en síndromes hereditarios de muerte Síndromes súbita cardíaca hereditarios de Resumen Los síndromes hereditarios de muerte súbita cardíaca comprenden una amplia gama muerte súbita; Displasia de enfermedades resultantes de la alteración en los canales iónicos cardíacos. Los genes implicados en estos síndromes presentan mutaciones que causan alteraciones de las diversas Arritmogénica del proteínas que constituyen estos canales y que, por lo tanto, afectan directamente a las difer- ventriculo derecho; entes corrientes iónicas. -
Table SI. Genes Upregulated ≥ 2-Fold by MIH 2.4Bl Treatment Affymetrix ID
Table SI. Genes upregulated 2-fold by MIH 2.4Bl treatment Fold UniGene ID Description Affymetrix ID Entrez Gene Change 1558048_x_at 28.84 Hs.551290 231597_x_at 17.02 Hs.720692 238825_at 10.19 93953 Hs.135167 acidic repeat containing (ACRC) 203821_at 9.82 1839 Hs.799 heparin binding EGF like growth factor (HBEGF) 1559509_at 9.41 Hs.656636 202957_at 9.06 3059 Hs.14601 hematopoietic cell-specific Lyn substrate 1 (HCLS1) 202388_at 8.11 5997 Hs.78944 regulator of G-protein signaling 2 (RGS2) 213649_at 7.9 6432 Hs.309090 serine and arginine rich splicing factor 7 (SRSF7) 228262_at 7.83 256714 Hs.127951 MAP7 domain containing 2 (MAP7D2) 38037_at 7.75 1839 Hs.799 heparin binding EGF like growth factor (HBEGF) 224549_x_at 7.6 202672_s_at 7.53 467 Hs.460 activating transcription factor 3 (ATF3) 243581_at 6.94 Hs.659284 239203_at 6.9 286006 Hs.396189 leucine rich single-pass membrane protein 1 (LSMEM1) 210800_at 6.7 1678 translocase of inner mitochondrial membrane 8 homolog A (yeast) (TIMM8A) 238956_at 6.48 1943 Hs.741510 ephrin A2 (EFNA2) 242918_at 6.22 4678 Hs.319334 nuclear autoantigenic sperm protein (NASP) 224254_x_at 6.06 243509_at 6 236832_at 5.89 221442 Hs.374076 adenylate cyclase 10, soluble pseudogene 1 (ADCY10P1) 234562_x_at 5.89 Hs.675414 214093_s_at 5.88 8880 Hs.567380; far upstream element binding protein 1 (FUBP1) Hs.707742 223774_at 5.59 677825 Hs.632377 small nucleolar RNA, H/ACA box 44 (SNORA44) 234723_x_at 5.48 Hs.677287 226419_s_at 5.41 6426 Hs.710026; serine and arginine rich splicing factor 1 (SRSF1) Hs.744140 228967_at 5.37 -
NICU Gene List Generator.Xlsx
Neonatal Crisis Sequencing Panel Gene List Genes: A2ML1 - B3GLCT A2ML1 ADAMTS9 ALG1 ARHGEF15 AAAS ADAMTSL2 ALG11 ARHGEF9 AARS1 ADAR ALG12 ARID1A AARS2 ADARB1 ALG13 ARID1B ABAT ADCY6 ALG14 ARID2 ABCA12 ADD3 ALG2 ARL13B ABCA3 ADGRG1 ALG3 ARL6 ABCA4 ADGRV1 ALG6 ARMC9 ABCB11 ADK ALG8 ARPC1B ABCB4 ADNP ALG9 ARSA ABCC6 ADPRS ALK ARSL ABCC8 ADSL ALMS1 ARX ABCC9 AEBP1 ALOX12B ASAH1 ABCD1 AFF3 ALOXE3 ASCC1 ABCD3 AFF4 ALPK3 ASH1L ABCD4 AFG3L2 ALPL ASL ABHD5 AGA ALS2 ASNS ACAD8 AGK ALX3 ASPA ACAD9 AGL ALX4 ASPM ACADM AGPS AMELX ASS1 ACADS AGRN AMER1 ASXL1 ACADSB AGT AMH ASXL3 ACADVL AGTPBP1 AMHR2 ATAD1 ACAN AGTR1 AMN ATL1 ACAT1 AGXT AMPD2 ATM ACE AHCY AMT ATP1A1 ACO2 AHDC1 ANK1 ATP1A2 ACOX1 AHI1 ANK2 ATP1A3 ACP5 AIFM1 ANKH ATP2A1 ACSF3 AIMP1 ANKLE2 ATP5F1A ACTA1 AIMP2 ANKRD11 ATP5F1D ACTA2 AIRE ANKRD26 ATP5F1E ACTB AKAP9 ANTXR2 ATP6V0A2 ACTC1 AKR1D1 AP1S2 ATP6V1B1 ACTG1 AKT2 AP2S1 ATP7A ACTG2 AKT3 AP3B1 ATP8A2 ACTL6B ALAS2 AP3B2 ATP8B1 ACTN1 ALB AP4B1 ATPAF2 ACTN2 ALDH18A1 AP4M1 ATR ACTN4 ALDH1A3 AP4S1 ATRX ACVR1 ALDH3A2 APC AUH ACVRL1 ALDH4A1 APTX AVPR2 ACY1 ALDH5A1 AR B3GALNT2 ADA ALDH6A1 ARFGEF2 B3GALT6 ADAMTS13 ALDH7A1 ARG1 B3GAT3 ADAMTS2 ALDOB ARHGAP31 B3GLCT Updated: 03/15/2021; v.3.6 1 Neonatal Crisis Sequencing Panel Gene List Genes: B4GALT1 - COL11A2 B4GALT1 C1QBP CD3G CHKB B4GALT7 C3 CD40LG CHMP1A B4GAT1 CA2 CD59 CHRNA1 B9D1 CA5A CD70 CHRNB1 B9D2 CACNA1A CD96 CHRND BAAT CACNA1C CDAN1 CHRNE BBIP1 CACNA1D CDC42 CHRNG BBS1 CACNA1E CDH1 CHST14 BBS10 CACNA1F CDH2 CHST3 BBS12 CACNA1G CDK10 CHUK BBS2 CACNA2D2 CDK13 CILK1 BBS4 CACNB2 CDK5RAP2 -
Atrial Fibrillation (ATRIA) Study
European Journal of Human Genetics (2014) 22, 297–306 & 2014 Macmillan Publishers Limited All rights reserved 1018-4813/14 www.nature.com/ejhg REVIEW Atrial fibrillation: the role of common and rare genetic variants Morten S Olesen*,1,2,4, Morten W Nielsen1,2,4, Stig Haunsø1,2,3 and Jesper H Svendsen1,2,3 Atrial fibrillation (AF) is the most common cardiac arrhythmia affecting 1–2% of the general population. A number of studies have demonstrated that AF, and in particular lone AF, has a substantial genetic component. Monogenic mutations in lone and familial AF, although rare, have been recognized for many years. Presently, mutations in 25 genes have been associated with AF. However, the complexity of monogenic AF is illustrated by the recent finding that both gain- and loss-of-function mutations in the same gene can cause AF. Genome-wide association studies (GWAS) have indicated that common single-nucleotide polymorphisms (SNPs) have a role in the development of AF. Following the first GWAS discovering the association between PITX2 and AF, several new GWAS reports have identified SNPs associated with susceptibility of AF. To date, nine SNPs have been associated with AF. The exact biological pathways involving these SNPs and the development of AF are now starting to be elucidated. Since the first GWAS, the number of papers concerning the genetic basis of AF has increased drastically and the majority of these papers are for the first time included in a review. In this review, we discuss the genetic basis of AF and the role of both common and rare genetic variants in the susceptibility of developing AF. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Engineering Biosynthetic Excitable Tissues from Unexcitable Cells for Electrophysiological and Cell Therapy Studies
ARTICLE Received 11 Nov 2010 | Accepted 5 Apr 2011 | Published 10 May 2011 DOI: 10.1038/ncomms1302 Engineering biosynthetic excitable tissues from unexcitable cells for electrophysiological and cell therapy studies Robert D. Kirkton1 & Nenad Bursac1 Patch-clamp recordings in single-cell expression systems have been traditionally used to study the function of ion channels. However, this experimental setting does not enable assessment of tissue-level function such as action potential (AP) conduction. Here we introduce a biosynthetic system that permits studies of both channel activity in single cells and electrical conduction in multicellular networks. We convert unexcitable somatic cells into an autonomous source of electrically excitable and conducting cells by stably expressing only three membrane channels. The specific roles that these expressed channels have on AP shape and conduction are revealed by different pharmacological and pacing protocols. Furthermore, we demonstrate that biosynthetic excitable cells and tissues can repair large conduction defects within primary 2- and 3-dimensional cardiac cell cultures. This approach enables novel studies of ion channel function in a reproducible tissue-level setting and may stimulate the development of new cell-based therapies for excitable tissue repair. 1 Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA. Correspondence and requests for materials should be addressed to N.B. (email: [email protected]). NatURE COMMUNicatiONS | 2:300 | DOI: 10.1038/ncomms1302 | www.nature.com/naturecommunications © 2011 Macmillan Publishers Limited. All rights reserved. ARTICLE NatUre cOMMUNicatiONS | DOI: 10.1038/ncomms1302 ll cells express ion channels in their membranes, but cells a b with a significantly polarized membrane that can undergo e 0 a transient all-or-none membrane depolarization (action A 1 potential, AP) are classified as ‘excitable cells’ . -
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.