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Hu J, Korchina V, Zouk H, Harden MV, Murdock D, Macbeth A, Harrison SM, Lennon N, Kovar C, Balasubramanian A, Zhang L, Chandanavelli G, Pasham D, Rowley R, Wiley K, Smith ME, Gordon A, Jarvik GP, Sleiman P, Kelly MA, Bland HT, Murugan M, Venner E, Boerwinkle E, Prows C, Mahanta L, Rehm HL, Gibbs RA, Muzny DM. Genetic sex validation for sample tracking in next-generation sequencing clinical testing. BMC Res Notes 2024; 17:62. [PMID: 38433186 PMCID: PMC10910835 DOI: 10.1186/s13104-024-06723-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 02/16/2024] [Indexed: 03/05/2024] Open
Abstract
OBJECTIVE Data from DNA genotyping via a 96-SNP panel in a study of 25,015 clinical samples were utilized for quality control and tracking of sample identity in a clinical sequencing network. The study aimed to demonstrate the value of both the precise SNP tracking and the utility of the panel for predicting the sex-by-genotype of the participants, to identify possible sample mix-ups. RESULTS Precise SNP tracking showed no sample swap errors within the clinical testing laboratories. In contrast, when comparing predicted sex-by-genotype to the provided sex on the test requisition, we identified 110 inconsistencies from 25,015 clinical samples (0.44%), that had occurred during sample collection or accessioning. The genetic sex predictions were confirmed using additional SNP sites in the sequencing data or high-density genotyping arrays. It was determined that discrepancies resulted from clerical errors (49.09%), samples from transgender participants (3.64%) and stem cell or bone marrow transplant patients (7.27%) along with undetermined sample mix-ups (40%) for which sample swaps occurred prior to arrival at genome centers, however the exact cause of the events at the sampling sites resulting in the mix-ups were not able to be determined.
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Affiliation(s)
- Jianhong Hu
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA
| | - Viktoriya Korchina
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA
| | - Hana Zouk
- Laboratory for Molecular Medicine (LMM), Mass General Brigham, Cambridge, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - David Murdock
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | - Steven M Harrison
- Laboratory for Molecular Medicine (LMM), Mass General Brigham, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Niall Lennon
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Christie Kovar
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA
| | | | - Lan Zhang
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA
| | | | - Divya Pasham
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA
| | - Robb Rowley
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD, USA
| | - Ken Wiley
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD, USA
| | - Maureen E Smith
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Adam Gordon
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA, USA
| | - Patrick Sleiman
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Harris T Bland
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mullai Murugan
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA
| | - Eric Venner
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA
| | - Eric Boerwinkle
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Cynthia Prows
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Lisa Mahanta
- Laboratory for Molecular Medicine (LMM), Mass General Brigham, Cambridge, MA, USA
| | - Heidi L Rehm
- Laboratory for Molecular Medicine (LMM), Mass General Brigham, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Richard A Gibbs
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA
| | - Donna M Muzny
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC), Houston, TX, USA.
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Hu J, Korchina V, Zouk H, Harden MV, Murdock D, Macbeth A, Harrison SM, Lennon N, Kovar C, Balasubramanian A, Zhang L, Chandanavelli G, Pasham D, Rowley R, Wiley K, Smith ME, Gordon A, Jarvik GP, Sleiman P, Kelly MA, Bland HT, Murugan M, Venner E, Boerwinkle E, Prows C, Mahanta L, Rehm HL, Gibbs RA, Muzny DM. Genetic Sex Validation for Sample Tracking in Clinical Testing. Res Sq 2023:rs.3.rs-3304685. [PMID: 37790445 PMCID: PMC10543510 DOI: 10.21203/rs.3.rs-3304685/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Objective Data from DNA genotyping via a 96-SNP panel in a study of 25,015 clinical samples were utilized for quality control and tracking of sample identity in a clinical sequencing network. The study aimed to demonstrate the value of both the precise SNP tracking and the utility of the panel for predicting the sex-by-genotype of the participants, to identify possible sample mix-ups. Results Precise SNP tracking showed no sample swap errors within the clinical testing laboratories. In contrast, when comparing predicted sex-by-genotype to the provided sex on the test requisition, we identified 110 inconsistencies from 25,015 clinical samples (0.44%), that had occurred during sample collection or accessioning. The genetic sex predictions were confirmed using additional SNP sites in the sequencing data or high-density genotyping arrays. It was determined that discrepancies resulted from clerical errors, samples from transgender participants and stem cell or bone marrow transplant patients along with undetermined sample mix-ups.
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Affiliation(s)
- Jianhong Hu
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC)
| | | | - Hana Zouk
- Laboratory for Molecular Medicine (LMM), Mass General Brigham
| | | | - David Murdock
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC)
| | | | | | | | - Christie Kovar
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC)
| | | | - Lan Zhang
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC)
| | | | - Divya Pasham
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC)
| | | | - Ken Wiley
- National Human Genome Research Institute
| | | | - Adam Gordon
- Northwestern University Feinberg School of Medicine
| | | | | | | | | | - Mullai Murugan
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC)
| | - Eric Venner
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC)
| | - Eric Boerwinkle
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC)
| | | | - Lisa Mahanta
- Laboratory for Molecular Medicine (LMM), Mass General Brigham
| | | | - Richard A Gibbs
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC)
| | - Donna M Muzny
- Baylor College of Medicine, Human Genome Sequencing Center (HGSC)
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3
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Linder JE, Allworth A, Bland HT, Caraballo PJ, Chisholm RL, Clayton EW, Crosslin DR, Dikilitas O, DiVietro A, Esplin ED, Forman S, Freimuth RR, Gordon AS, Green R, Harden MV, Holm IA, Jarvik GP, Karlson EW, Labrecque S, Lennon NJ, Limdi NA, Mittendorf KF, Murphy SN, Orlando L, Prows CA, Rasmussen LV, Rasmussen-Torvik L, Rowley R, Sawicki KT, Schmidlen T, Terek S, Veenstra D, Velez Edwards DR, Absher D, Abul-Husn NS, Alsip J, Bangash H, Beasley M, Below JE, Berner ES, Booth J, Chung WK, Cimino JJ, Connolly J, Davis P, Devine B, Fullerton SM, Guiducci C, Habrat ML, Hain H, Hakonarson H, Harr M, Haverfield E, Hernandez V, Hoell C, Horike-Pyne M, Hripcsak G, Irvin MR, Kachulis C, Karavite D, Kenny EE, Khan A, Kiryluk K, Korf B, Kottyan L, Kullo IJ, Larkin K, Liu C, Malolepsza E, Manolio TA, May T, McNally EM, Mentch F, Miller A, Mooney SD, Murali P, Mutai B, Muthu N, Namjou B, Perez EF, Puckelwartz MJ, Rakhra-Burris T, Roden DM, Rosenthal EA, Saadatagah S, Sabatello M, Schaid DJ, Schultz B, Seabolt L, Shaibi GQ, Sharp RR, Shirts B, Smith ME, Smoller JW, Sterling R, Suckiel SA, Thayer J, Tiwari HK, Trinidad SB, Walunas T, Wei WQ, Wells QS, Weng C, Wiesner GL, Wiley K, Peterson JF. Returning integrated genomic risk and clinical recommendations: The eMERGE study. Genet Med 2023; 25:100006. [PMID: 36621880 PMCID: PMC10085845 DOI: 10.1016/j.gim.2023.100006] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/16/2022] [Accepted: 12/21/2022] [Indexed: 01/09/2023] Open
Abstract
PURPOSE Assessing the risk of common, complex diseases requires consideration of clinical risk factors as well as monogenic and polygenic risks, which in turn may be reflected in family history. Returning risks to individuals and providers may influence preventive care or use of prophylactic therapies for those individuals at high genetic risk. METHODS To enable integrated genetic risk assessment, the eMERGE (electronic MEdical Records and GEnomics) network is enrolling 25,000 diverse individuals in a prospective cohort study across 10 sites. The network developed methods to return cross-ancestry polygenic risk scores, monogenic risks, family history, and clinical risk assessments via a genome-informed risk assessment (GIRA) report and will assess uptake of care recommendations after return of results. RESULTS GIRAs include summary care recommendations for 11 conditions, education pages, and clinical laboratory reports. The return of high-risk GIRA to individuals and providers includes guidelines for care and lifestyle recommendations. Assembling the GIRA required infrastructure and workflows for ingesting and presenting content from multiple sources. Recruitment began in February 2022. CONCLUSION Return of a novel report for communicating monogenic, polygenic, and family history-based risk factors will inform the benefits of integrated genetic risk assessment for routine health care.
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Affiliation(s)
- Jodell E Linder
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Aimee Allworth
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - Harris T Bland
- Department of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Pedro J Caraballo
- Department of Internal Medicine and Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Rex L Chisholm
- Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Ellen Wright Clayton
- Center for Biomedical Ethics and Society, Vanderbilt University Medical Center, Nashville, TN
| | - David R Crosslin
- Division of Biomedical Informatics and Genomics, John W. Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA
| | - Ozan Dikilitas
- Mayo Clinician Investigator Training Program, Department of Internal Medicine and Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Alanna DiVietro
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | | | - Sophie Forman
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Robert R Freimuth
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN
| | - Adam S Gordon
- Department of Pharmacology, Feinberg School of Medicine, and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Richard Green
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | | | - Ingrid A Holm
- Division of Genetics and Genomics and Manton Center for Orphan Diseases Research, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA
| | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine and Department of Genome Science, University of Washington Medical Center, Seattle, WA
| | - Elizabeth W Karlson
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Sofia Labrecque
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | | | - Nita A Limdi
- Department of Neurology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Kathleen F Mittendorf
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Shawn N Murphy
- Department of Neurology, Massachusetts General Hospital, Boston, MA
| | - Lori Orlando
- Center for Applied Genomics and Precision Medicine, Duke University, Durham, NC
| | - Cynthia A Prows
- Divisions of Human Genetics and Patient Services, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Luke V Rasmussen
- Department of Preventive Medicine, Northwestern University, Chicago, IL
| | | | - Robb Rowley
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Konrad Teodor Sawicki
- Department of Cardiology and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | | | - Shannon Terek
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - David Veenstra
- School of Pharmacy, University of Washington, Seattle, WA
| | - Digna R Velez Edwards
- Division of Quantitative Science, Department of Obstetrics and Gynecology, Department of Biomedical Sciences, Vanderbilt University Medical Center, Nashville, TN
| | | | - Noura S Abul-Husn
- Institute for Genomic Health, Department of Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Hana Bangash
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Mark Beasley
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Jennifer E Below
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Eta S Berner
- Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL
| | - James Booth
- Department of Emergency Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University Irving Medical Center, Columbia University, New York, NY
| | - James J Cimino
- Division of General Internal Medicine and the Informatics Institute, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - John Connolly
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Patrick Davis
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | - Beth Devine
- School of Pharmacy, University of Washington, Seattle, WA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA
| | | | - Melissa L Habrat
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | - Heather Hain
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Margaret Harr
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | - Christin Hoell
- Department of Obstetrics & Gynecology and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Martha Horike-Pyne
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University Irving Medical Center, Columbia University, New York, NY
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | | | - Dean Karavite
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Eimear E Kenny
- Institute for Genomic Health, Department of Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Atlas Khan
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Bruce Korf
- Department of Genetics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Leah Kottyan
- The Center for Autoimmune Genomics and Etiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Katie Larkin
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Cong Liu
- Department of Biomedical Informatics, Columbia University Irving Medical Center, Columbia University, New York, NY
| | | | - Teri A Manolio
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Thomas May
- Elson S. Floyd College of Medicine, Washington State University, Vancouver, WA
| | | | - Frank Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Alexandra Miller
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Sean D Mooney
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | - Priyanka Murali
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - Brenda Mutai
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - Naveen Muthu
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Bahram Namjou
- The Center for Autoimmune Genomics and Etiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Emma F Perez
- Department of Medicine, Brigham and Women's Hospital, Mass General Brigham Personalized Medicine, Boston, MA
| | - Megan J Puckelwartz
- Department of Pharmacology, Feinberg School of Medicine, and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | | | - Dan M Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Elisabeth A Rosenthal
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | | | - Maya Sabatello
- Division of Nephrology, Department of Medicine & Division of Ethics, Department of Medical Humanities and Ethics, Columbia University Irving Medical Center, New York, NY
| | - Dan J Schaid
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Baergen Schultz
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Lynn Seabolt
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Gabriel Q Shaibi
- Center for Health Promotion and Disease Prevention, Arizona State University, Phoenix, AZ
| | - Richard R Sharp
- Biomedical Ethics Program, Department of Quantitative Health Science, Mayo Clinic, Rochester, MN
| | - Brian Shirts
- Department of Laboratory Medicine & Pathology, University of Washington Medical Center, Seattle, WA
| | - Maureen E Smith
- Department of Cardiology and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Jordan W Smoller
- Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Rene Sterling
- Division of Genomics and Society, National Human Genome Research Institute, Bethesda, MD
| | - Sabrina A Suckiel
- The Institute for Genomic Health, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jeritt Thayer
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Hemant K Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Susan B Trinidad
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA
| | - Theresa Walunas
- Department of Medicine and Center for Health Information Partnerships, Northwestern University, Chicago, IL
| | - Wei-Qi Wei
- Department of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Quinn S Wells
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University Irving Medical Center, Columbia University, New York, NY
| | - Georgia L Wiesner
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Ken Wiley
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Josh F Peterson
- Center for Precision Medicine, Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
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4
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Church AJ, Corson LB, Kao PC, Imamovic-Tuco A, Reidy D, Doan D, Kang W, Pinto N, Maese L, Laetsch TW, Kim A, Colace SI, Macy ME, Applebaum MA, Bagatell R, Sabnis AJ, Weiser DA, Glade-Bender JL, Homans AC, Hipps J, Harris H, Manning D, Al-Ibraheemi A, Li Y, Gupta H, Cherniack AD, Lo YC, Strand GR, Lee LA, Pinches RS, Lazo De La Vega L, Harden MV, Lennon NJ, Choi S, Comeau H, Harris MH, Forrest SJ, Clinton CM, Crompton BD, Kamihara J, MacConaill LE, Volchenboum SL, Lindeman NI, Van Allen E, DuBois SG, London WB, Janeway KA. Molecular profiling identifies targeted therapy opportunities in pediatric solid cancer. Nat Med 2022; 28:1581-1589. [PMID: 35739269 PMCID: PMC10953704 DOI: 10.1038/s41591-022-01856-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 05/03/2022] [Indexed: 11/09/2022]
Abstract
To evaluate the clinical impact of molecular tumor profiling (MTP) with targeted sequencing panel tests, pediatric patients with extracranial solid tumors were enrolled in a prospective observational cohort study at 12 institutions. In the 345-patient analytical population, median age at diagnosis was 12 years (range 0-27.5); 298 patients (86%) had 1 or more alterations with potential for impact on care. Genomic alterations with diagnostic, prognostic or therapeutic significance were present in 61, 16 and 65% of patients, respectively. After return of the results, impact on care included 17 patients with a clarified diagnostic classification and 240 patients with an MTP result that could be used to select molecularly targeted therapy matched to identified alterations (MTT). Of the 29 patients who received MTT, 24% had an objective response or experienced durable clinical benefit; all but 1 of these patients received targeted therapy matched to a gene fusion. Of the diagnostic variants identified in 209 patients, 77% were gene fusions. MTP with targeted panel tests that includes fusion detection has a substantial clinical impact for young patients with solid tumors.
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Affiliation(s)
- Alanna J Church
- Boston Children's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Laura B Corson
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Sema4, Stamford, CT, USA
| | | | - Alma Imamovic-Tuco
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Deirdre Reidy
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- University of Connecticut School of Medicine, Farmington, CT, USA
| | - Duong Doan
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- University of Massachusetts Medical School, Worcester, MA, USA
| | | | - Navin Pinto
- Seattle Children's Hospital, Seattle, WA, USA
- University of Washington, Seattle, WA, USA
| | - Luke Maese
- Primary Children's Hospital, Salt Lake City, UT, USA
- University of Utah Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Theodore W Laetsch
- University of Texas Southwestern Medical Center, Dallas, TX, USA
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
- University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - AeRang Kim
- Children's National Hospital, Washington, DC, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Susan I Colace
- Nationwide Children's Hospital, Columbus, OH, USA
- Ohio State University College of Medicine, Columbus, OH, USA
| | - Margaret E Macy
- Children's Hospital of Colorado, Aurora, CO, USA
- University of Colorado School of Medicine, Aurora, CO, USA
| | - Mark A Applebaum
- University of Chicago, Chicago, IL, USA
- Comer Children's Hospital, Chicago, IL, USA
| | - Rochelle Bagatell
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
- University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Amit J Sabnis
- University of California San Francisco Benioff Children's Hospital, San Francisco, CA, USA
| | - Daniel A Weiser
- Children's Hospital at Montefiore, New York, NY, USA
- Albert Einstein College of Medicine, New York, NY, USA
| | - Julia L Glade-Bender
- Columbia University Irving Medical Center, New York, NY, USA
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alan C Homans
- University of Vermont Medical Center, Burlington, VT, USA
- University of Vermont, Burlington, VT, USA
| | - John Hipps
- University of North Carolina Medical Center, Chapel Hill, NC, USA
- University of North Carolina-Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | | | | | - Alyaa Al-Ibraheemi
- Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Yvonne Li
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hersh Gupta
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Andrew D Cherniack
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ying-Chun Lo
- Boston Children's Hospital, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
- Mayo Clinic, Rochester, MN, USA
| | - Gianna R Strand
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Loyola University, Chicago, IL, USA
| | - Lobin A Lee
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - R Seth Pinches
- Boston Children's Hospital, Boston, MA, USA
- Philadelphia College of Osteopathic Medicine, Philadelphia, PA, USA
| | | | | | | | | | - Hannah Comeau
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Marian H Harris
- Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Suzanne J Forrest
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Catherine M Clinton
- Boston Children's Hospital, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Brian D Crompton
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Junne Kamihara
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Laura E MacConaill
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | | | - Neal I Lindeman
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Eliezer Van Allen
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Steven G DuBois
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Wendy B London
- Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Katherine A Janeway
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
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5
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Zouk H, Venner E, Lennon NJ, Muzny DM, Abrams D, Adunyah S, Albertson-Junkans L, Ames DC, Appelbaum P, Aronson S, Aufox S, Babb LJ, Balasubramanian A, Bangash H, Basford M, Bastarache L, Baxter S, Behr M, Benoit B, Bhoj E, Bielinski SJ, Bland HT, Blout C, Borthwick K, Bottinger EP, Bowser M, Brand H, Brilliant M, Brodeur W, Caraballo P, Carrell D, Carroll A, Almoguera B, Castillo L, Castro V, Chandanavelli G, Chiang T, Chisholm RL, Christensen KD, Chung W, Chute CG, City B, Cobb BL, Connolly JJ, Crane P, Crew K, Crosslin D, De Andrade M, De la Cruz J, Denson S, Denny J, DeSmet T, Dikilitas O, Friedrich C, Fullerton SM, Funke B, Gabriel S, Gainer V, Gharavi A, Glazer AM, Glessner JT, Goehringer J, Gordon AS, Graham C, Green RC, Gundelach JH, Dayal J, Hain HS, Hakonarson H, Harden MV, Harley J, Harr M, Hartzler A, Hayes MG, Hebbring S, Henrikson N, Hershey A, Hoell C, Holm I, Howell KM, Hripcsak G, Hu J, Jarvik GP, Jayaseelan JC, Jiang Y, Joo YY, Jose S, Josyula NS, Justice AE, Kalla SE, Kalra D, Karlson E, Kelly MA, Keating BJ, Kenny EE, Key D, Kiryluk K, Kitchner T, Klanderman B, Klee E, Kochan DC, Korchina V, Kottyan L, Kovar C, Kudalkar E, Kullo IJ, Lammers P, Larson EB, Lebo MS, Leduc M, Lee MT(M, Leppig KA, Leslie ND, Li R, Liang WH, Lin CF, Linder J, Lindor NM, Lingren T, Linneman JG, Liu C, Liu W, Liu X, Lynch J, Lyon H, Macbeth A, Mahadeshwar H, Mahanta L, Malin B, Manolio T, Marasa M, Marsolo K, Dinsmore MJ, Dodge S, Hynes ED, Dunlea P, Edwards TL, Eng CM, Fasel D, Fedotov A, Feng Q, Fleharty M, Foster A, Freimuth R, McGowan ML, McNally E, Meldrim J, Mentch F, Mosley J, Mukherjee S, Mullen TE, Muniz J, Murdock DR, Murphy S, Murugan M, Myers MF, Namjou B, Ni Y, Obeng AO, Onofrio RC, Taylor CO, Person TN, Peterson JF, Petukhova L, Pisieczko CJ, Pratap S, Prows CA, Puckelwartz MJ, Rahm AK, Raj R, Ralston JD, Ramaprasan A, Ramirez A, Rasmussen L, Rasmussen-Torvik L, Rasouly HM, Raychaudhuri S, Ritchie MD, Rives C, Riza B, Roden D, Rosenthal EA, Santani A, Schaid D, Scherer S, Scott S, Scrol A, Sengupta S, Shang N, Sharma H, Sharp RR, Singh R, Sleiman PM, Slowik K, Smith JC, Smith ME, Smoller JW, Sohn S, Stanaway IB, Starren J, Stroud M, Su J, Tolwinski K, Van Driest SL, Vargas SM, Varugheese M, Veenstra D, Verbitsky M, Vicente G, Wagner M, Walker K, Walunas T, Wang L, Wang Q, Wei WQ, Weiss ST, Wiesner GL, Wells Q, Weng C, White PS, Wiley KL, Williams JL, Williams MS, Wilson MW, Witkowski L, Woods LA, Woolf B, Wu TJ, Wynn J, Yang Y, Yi V, Zhang G, Zhang L, Rehm HL, Gibbs RA. Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network. Am J Hum Genet 2019; 105:588-605. [PMID: 31447099 PMCID: PMC6731372 DOI: 10.1016/j.ajhg.2019.07.018] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 07/26/2019] [Indexed: 12/25/2022] Open
Abstract
The advancement of precision medicine requires new methods to coordinate and deliver genetic data from heterogeneous sources to physicians and patients. The eMERGE III Network enrolled >25,000 participants from biobank and prospective cohorts of predominantly healthy individuals for clinical genetic testing to determine clinically actionable findings. The network developed protocols linking together the 11 participant collection sites and 2 clinical genetic testing laboratories. DNA capture panels targeting 109 genes were used for testing of DNA and sample collection, data generation, interpretation, reporting, delivery, and storage were each harmonized. A compliant and secure network enabled ongoing review and reconciliation of clinical interpretations, while maintaining communication and data sharing between clinicians and investigators. A total of 202 individuals had positive diagnostic findings relevant to the indication for testing and 1,294 had additional/secondary findings of medical significance deemed to be returnable, establishing data return rates for other testing endeavors. This study accomplished integration of structured genomic results into multiple electronic health record (EHR) systems, setting the stage for clinical decision support to enable genomic medicine. Further, the established processes enable different sequencing sites to harmonize technical and interpretive aspects of sequencing tests, a critical achievement toward global standardization of genomic testing. The eMERGE protocols and tools are available for widespread dissemination.
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Harden MV, Pereiro L, Ramialison M, Wittbrodt J, Prasad MK, McCallion AS, Whitlock KE. Close association of olfactory placode precursors and cranial neural crest cells does not predestine cell mixing. Dev Dyn 2012; 241:1143-54. [PMID: 22539261 DOI: 10.1002/dvdy.23797] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/09/2012] [Indexed: 12/22/2022] Open
Abstract
Vertebrate sensory organs originate from both cranial neural crest cells (CNCCs) and placodes. Previously, we have shown that the olfactory placode (OP) forms from a large field of cells extending caudally to the premigratory neural crest domain, and that OPs form through cell movements and not cell division. Concurrent with OP formation, CNCCs migrate rostrally to populate the frontal mass. However, little is known about the interactions between CNCCs and the placodes that form the olfactory sensory system. Previous reports suggest that the OP can generate cell types more typical of neural crest lineages such as neuroendocrine cells and glia, thus marking the OP as an unusual sensory placode. One possible explanation for this exception is that the neural crest origin of glia and neurons has been overlooked due to the intimate association of these two fields during migration. Using molecular markers and live imaging, we followed the development of OP precursors and of dorsally migrating CNCCs in zebrafish embryos. We generated a six4b:mCherry line (OP precursors) that, with a sox10:EGFP line (CNCCs), was used to follow cell migration. Our analyses showed that CNCCs associate with and eventually surround the forming OP with limited cell mixing occurring during this process.
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Affiliation(s)
- Maegan V Harden
- Department of Molecular Biology and Genetics, 445/449 Biotechnology Building, Cornell University, Ithaca, New York, USA
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Harden MV, Newton LA, Lloyd RC, Whitlock KE. Olfactory imprinting is correlated with changes in gene expression in the olfactory epithelia of the zebrafish. ACTA ACUST UNITED AC 2007; 66:1452-66. [PMID: 17013923 DOI: 10.1002/neu.20328] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Odors experienced as juveniles can have significant effects on the behavior of mature organisms. A dramatic example of this occurs in salmon, where the odors experienced by developing fish determine the river to which they return as adults. Further examples of olfactory memories are found in many animals including vertebrates and invertebrates. Yet, the cellular and molecular bases underlying the formation of olfactory memory are poorly understood. We have devised a series of experiments to determine whether zebrafish can form olfactory memories much like those observed in salmonids. Here we show for the first time that zebrafish form and retain olfactory memories of an artificial odorant, phenylethyl alcohol (PEA), experienced as juveniles. Furthermore, we demonstrate that exposure to PEA results in changes in gene expression within the olfactory sensory system. These changes are evident by in situ hybridization in the olfactory epithelium of the developing zebrafish. Strikingly, our analysis by in situ hybridization demonstrates that the transcription factor, otx2, is up regulated in the olfactory sensory epithelia in response to PEA. This increase is evident at 2-3 days postfertilization and is maintained in the adult animals. We propose that the changes in otx2 gene expression are manifest as an increase in the number of neuronal precursors in the cells olfactory epithelium of the odor-exposed fish. Thus, our results reveal a role for the environment in controlling gene expression in the developing peripheral nervous system.
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Affiliation(s)
- Maegan V Harden
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA
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8
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Quinn CC, Pfeil DS, Chen E, Stovall EL, Harden MV, Gavin MK, Forrester WC, Ryder EF, Soto MC, Wadsworth WG. UNC-6/netrin and SLT-1/slit guidance cues orient axon outgrowth mediated by MIG-10/RIAM/lamellipodin. Curr Biol 2006; 16:845-53. [PMID: 16563765 DOI: 10.1016/j.cub.2006.03.025] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2005] [Revised: 03/09/2006] [Accepted: 03/10/2006] [Indexed: 12/30/2022]
Abstract
BACKGROUND Axon migrations are guided by extracellular cues that can act as repellants or attractants. However, the logic underlying the manner through which attractive and repulsive responses are determined is unclear. Many extracellular guidance cues, and the cellular components that mediate their signals, have been implicated in both types of responses. RESULTS Genetic analyses indicate that MIG-10/RIAM/lamellipodin, a cytoplasmic adaptor protein, functions downstream of the attractive guidance cue UNC-6/netrin and the repulsive guidance cue SLT-1/slit to direct the ventral migration of the AVM and PVM axons in C. elegans. Furthermore, overexpression of MIG-10 in the absence of UNC-6 and SLT-1 induces a multipolar phenotype with undirected outgrowths. Addition of either UNC-6 or SLT-1 causes the neurons to become monopolar. Moreover, the ability of UNC-6 or SLT-1 to direct the axon ventrally is enhanced by the MIG-10 overexpression. We also demonstrate that an interaction between MIG-10 and UNC-34, a protein that promotes actin-filament extension, is important in the response to guidance cues and that MIG-10 colocalizes with actin in cultured cells, where it can induce the formation of lamellipodia. CONCLUSIONS We conclude that MIG-10 mediates the guidance of AVM and PVM axons in response to the extracellular UNC-6 and SLT-1 guidance cues. The attractive and repulsive guidance cues orient MIG-10-dependant axon outgrowth to cause a directional response.
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Affiliation(s)
- Christopher C Quinn
- Department of Pathology, Robert Wood Johnson Medical School, Piscataway, New Jersey 08854, USA.
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9
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Whitlock KE, Smith KM, Kim H, Harden MV. A role forfoxd3andsox10in the differentiation of gonadotropin-releasing hormone (GnRH) cells in the zebrafishDanio rerio. Development 2005; 132:5491-502. [PMID: 16291787 DOI: 10.1242/dev.02158] [Citation(s) in RCA: 66] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Gonadotropin-releasing hormone (GnRH) is found in a wide range of vertebrate tissues, including the nervous system. In general, GnRH has two functions: endocrine, acting as a releasing hormone; and neuromodulatory,affecting neural activity in the peripheral and central nervous system. The best understood population of GnRH cells is that of the hypothalamus, which is essential for reproduction. Less well understood are the populations of GnRH cells found in the terminal nerve and midbrain, which appear to be neuromodulatory in function. The GnRH-containing cells of the midbrain are proposed to arise from the mesencephalic region of the neural tube. Previously, we showed that neuromodulatory GnRH cells of the terminal nerve arise from cranial neural crest. To test the hypothesis that neuromodulatory GnRH cells of the midbrain also arise from neural crest, we used gene knockdown experiments in zebrafish to disrupt neural crest development. We demonstrate that decrement of the function of foxd3 and/or sox10, two genes important for the development and specification of neural crest, resulted in a reduction and/or loss of GnRH cells of the midbrain, as well as a reduction in the number of terminal nerve GnRH cells. Therefore, our data support a neural crest origin for midbrain GnRH cells. Additionally, we demonstrate that knockdown of kallmann gene function resulted in the loss of endocrine GnRH cells of the hypothalamus, but not of neuromodulatory GnRH cells of the midbrain and terminal nerve, thus providing additional evidence for separate pathways controlling the development of neuromodulatory and endocrine GnRH cells.
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Affiliation(s)
- Kathleen E Whitlock
- Department of Molecular Biology and Genetics, 445 Biotechnology Building, Cornell University, Ithaca, NY 14853, USA.
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