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Kurki MI, Karjalainen J, Palta P, Sipilä TP, Kristiansson K, Donner KM, Reeve MP, Laivuori H, Aavikko M, Kaunisto MA, Loukola A, Lahtela E, Mattsson H, Laiho P, Della Briotta Parolo P, Lehisto AA, Kanai M, Mars N, Rämö J, Kiiskinen T, Heyne HO, Veerapen K, Rüeger S, Lemmelä S, Zhou W, Ruotsalainen S, Pärn K, Hiekkalinna T, Koskelainen S, Paajanen T, Llorens V, Gracia-Tabuenca J, Siirtola H, Reis K, Elnahas AG, Sun B, Foley CN, Aalto-Setälä K, Alasoo K, Arvas M, Auro K, Biswas S, Bizaki-Vallaskangas A, Carpen O, Chen CY, Dada OA, Ding Z, Ehm MG, Eklund K, Färkkilä M, Finucane H, Ganna A, Ghazal A, Graham RR, Green EM, Hakanen A, Hautalahti M, Hedman ÅK, Hiltunen M, Hinttala R, Hovatta I, Hu X, Huertas-Vazquez A, Huilaja L, Hunkapiller J, Jacob H, Jensen JN, Joensuu H, John S, Julkunen V, Jung M, Junttila J, Kaarniranta K, Kähönen M, Kajanne R, Kallio L, Kälviäinen R, Kaprio J, Kerimov N, Kettunen J, Kilpeläinen E, Kilpi T, Klinger K, Kosma VM, Kuopio T, Kurra V, Laisk T, Laukkanen J, Lawless N, Liu A, Longerich S, Mägi R, Mäkelä J, Mäkitie A, Malarstig A, Mannermaa A, Maranville J, Matakidou A, Meretoja T, Mozaffari SV, Niemi MEK, Niemi M, Niiranen T, O Donnell CJ, Obeidat ME, Okafo G, Ollila HM, Palomäki A, Palotie T, Partanen J, Paul DS, Pelkonen M, Pendergrass RK, Petrovski S, Pitkäranta A, Platt A, Pulford D, Punkka E, Pussinen P, Raghavan N, Rahimov F, Rajpal D, Renaud NA, Riley-Gillis B, Rodosthenous R, Saarentaus E, Salminen A, Salminen E, Salomaa V, Schleutker J, Serpi R, Shen HY, Siegel R, Silander K, Siltanen S, Soini S, Soininen H, Sul JH, Tachmazidou I, Tasanen K, Tienari P, Toppila-Salmi S, Tukiainen T, Tuomi T, Turunen JA, Ulirsch JC, Vaura F, Virolainen P, Waring J, Waterworth D, Yang R, Nelis M, Reigo A, Metspalu A, Milani L, Esko T, Fox C, Havulinna AS, Perola M, Ripatti S, Jalanko A, Laitinen T, Mäkelä TP, Plenge R, McCarthy M, Runz H, Daly MJ, Palotie A. FinnGen provides genetic insights from a well-phenotyped isolated population. Nature 2023; 613:508-518. [PMID: 36653562 PMCID: PMC9849126 DOI: 10.1038/s41586-022-05473-8] [Citation(s) in RCA: 505] [Impact Index Per Article: 505.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 10/21/2022] [Indexed: 01/20/2023]
Abstract
Population isolates such as those in Finland benefit genetic research because deleterious alleles are often concentrated on a small number of low-frequency variants (0.1% ≤ minor allele frequency < 5%). These variants survived the founding bottleneck rather than being distributed over a large number of ultrarare variants. Although this effect is well established in Mendelian genetics, its value in common disease genetics is less explored1,2. FinnGen aims to study the genome and national health register data of 500,000 Finnish individuals. Given the relatively high median age of participants (63 years) and the substantial fraction of hospital-based recruitment, FinnGen is enriched for disease end points. Here we analyse data from 224,737 participants from FinnGen and study 15 diseases that have previously been investigated in large genome-wide association studies (GWASs). We also include meta-analyses of biobank data from Estonia and the United Kingdom. We identified 30 new associations, primarily low-frequency variants, enriched in the Finnish population. A GWAS of 1,932 diseases also identified 2,733 genome-wide significant associations (893 phenome-wide significant (PWS), P < 2.6 × 10-11) at 2,496 (771 PWS) independent loci with 807 (247 PWS) end points. Among these, fine-mapping implicated 148 (73 PWS) coding variants associated with 83 (42 PWS) end points. Moreover, 91 (47 PWS) had an allele frequency of <5% in non-Finnish European individuals, of which 62 (32 PWS) were enriched by more than twofold in Finland. These findings demonstrate the power of bottlenecked populations to find entry points into the biology of common diseases through low-frequency, high impact variants.
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Affiliation(s)
- Mitja I Kurki
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Juha Karjalainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Priit Palta
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Timo P Sipilä
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | - Kati M Donner
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Mary P Reeve
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Hannele Laivuori
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland.,Faculty of Medicine and Health Technology, Center for Child, Adolescent and Maternal Health, University of Tampere, Tampere, Finland
| | - Mervi Aavikko
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Mari A Kaunisto
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Anu Loukola
- Helsinki Biobank, University of Helsinki and Hospital District of Helsinki and Uusimaa, Helsinki, Finland
| | - Elisa Lahtela
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Hannele Mattsson
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Päivi Laiho
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Pietro Della Briotta Parolo
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Arto A Lehisto
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Masahiro Kanai
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.,Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Nina Mars
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Joel Rämö
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tuomo Kiiskinen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Henrike O Heyne
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Digital Health Center, Hasso Plattner Institute for Digital Engineering, University of Potsdam Potsdam, Potsdam, Germany.,Hasso Plattner Institute for Digital Health at Mount Sinai, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kumar Veerapen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Sina Rüeger
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Susanna Lemmelä
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Wei Zhou
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Sanni Ruotsalainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Kalle Pärn
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tero Hiekkalinna
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Sami Koskelainen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Teemu Paajanen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Vincent Llorens
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Javier Gracia-Tabuenca
- TAUCHI Research Center, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
| | - Harri Siirtola
- TAUCHI Research Center, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
| | - Kadri Reis
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Benjamin Sun
- Translational Biology, Research and Development, Biogen, Cambridge, MA, USA.,BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Christopher N Foley
- Optima Partners, Edinburgh, UK.,MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Kaur Alasoo
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Mikko Arvas
- Finnish Red Cross Blood Service, Helsinki, Finland
| | | | | | | | - Olli Carpen
- Helsinki Biobank, University of Helsinki and Hospital District of Helsinki and Uusimaa, Helsinki, Finland
| | | | - Oluwaseun A Dada
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Zhihao Ding
- Boehringer Ingelheim, Ingelheim am Rhein, Germany
| | | | - Kari Eklund
- Division of Rheumatology, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland.,Orton Orthopedic Hospital, Helsinki, Finland
| | - Martti Färkkilä
- Abdominal Center, Helsinki University Hospital, Helsinki University, Helsinki, Finland
| | - Hilary Finucane
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Andrea Ganna
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Awaisa Ghazal
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | | | - Antti Hakanen
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | | | - Åsa K Hedman
- Pfizer, New York, NY, USA.,Department of Medicine, Karolinska Institute, Solna, Sweden
| | - Mikko Hiltunen
- Clinical Biobank Tampere, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Reetta Hinttala
- Medical Research Center Oulu and PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Oulu University Hospital, Oulu, Finland
| | - Iiris Hovatta
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,SleepWell Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | | | - Laura Huilaja
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Department of Dermatology and Medical Research Center Oulu, Oulu University Hospital, Oulu, Finland
| | | | | | | | - Heikki Joensuu
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Valtteri Julkunen
- Neuro Center, Neurology, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Marc Jung
- Boehringer Ingelheim, Ingelheim am Rhein, Germany
| | - Juhani Junttila
- Northern Finland Biobank Borealis, University of Oulu, Northern Ostrobothnia Hospital District, Oulu, Finland
| | - Kai Kaarniranta
- Department of Ophthalmology, Kuopio University Hospital, Kuopio, Finland.,Department of Ophthalmology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Mika Kähönen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Risto Kajanne
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Lila Kallio
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | - Reetta Kälviäinen
- Epilepsy Center, Kuopio University Hospital, Kuopio, Finland.,Department of Neurology, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | | | - Nurlan Kerimov
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Johannes Kettunen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Computational Medicine, Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Elina Kilpeläinen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Terhi Kilpi
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | | | - Veli-Matti Kosma
- Biobank of Eastern Finland, University of Eastern Finland, Kuopio, Finland.,Kuopio University Hospital, Kuopio, Finland
| | - Teijo Kuopio
- Central Finland Biobank, Central Finland Health Care District, Jyväskylä, Finland
| | - Venla Kurra
- Department of Clinical Genetics, Tampere University Hospital, Tampere, Finland.,Department of Clinical Genetics, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Triin Laisk
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jari Laukkanen
- Central Finland Biobank, Central Finland Health Care District, Jyväskylä, Finland.,Department of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | | | - Aoxing Liu
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Antti Mäkitie
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Helsinki, Helsinki, Finland.,Helsinki University Hospital, Helsinki, Finland
| | - Anders Malarstig
- Pfizer, Cambridge, MA, USA.,Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Solna, Sweden
| | - Arto Mannermaa
- Biobank of Eastern Finland, University of Eastern Finland, Kuopio, Finland.,Kuopio University Hospital, Kuopio, Finland
| | | | - Athena Matakidou
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Tuomo Meretoja
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Mari E K Niemi
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Marianna Niemi
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,TAUCHI Research Center & Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Teemu Niiranen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland.,Turku University Hospital and University of Turku, Turku, Finland
| | | | - Ma En Obeidat
- Novartis Institutes for BioMedical Research, Cambridge, MA, USA
| | - George Okafo
- Boehringer Ingelheim, Ingelheim am Rhein, Germany
| | - Hanna M Ollila
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Antti Palomäki
- Turku University Hospital and University of Turku, Turku, Finland
| | - Tuula Palotie
- Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Helsinki, Finland.,Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland
| | - Jukka Partanen
- Finnish Red Cross Blood Service, Helsinki, Finland.,Finnish Hematological Biobank, Helsinki, Finland
| | - Dirk S Paul
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Margit Pelkonen
- Department of Pulmonary Diseases, Kuopio University Hospital, Kuopio, Finland
| | | | - Slavé Petrovski
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Anne Pitkäranta
- Department of Otorhinolaryngology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Adam Platt
- Translational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | | | - Eero Punkka
- Helsinki Biobank, University of Helsinki and Hospital District of Helsinki and Uusimaa, Helsinki, Finland
| | - Pirkko Pussinen
- Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland
| | | | | | - Deepak Rajpal
- Translational Sciences, Sanofi R&D, Framingham, MA, USA
| | - Nicole A Renaud
- Novartis Institutes for BioMedical Research, Cambridge, MA, USA
| | | | - Rodosthenis Rodosthenous
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Elmo Saarentaus
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Aino Salminen
- Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland
| | - Eveliina Salminen
- Helsinki University Hospital, Helsinki, Finland.,Department of Clinical Genetics, HUSLAB, HUS Diagnostic Center, University of Helsinki, Helsinki, Finland
| | - Veikko Salomaa
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Johanna Schleutker
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | - Raisa Serpi
- Northern Finland Biobank Borealis, University of Oulu, Northern Ostrobothnia Hospital District, Oulu, Finland
| | - Huei-Yi Shen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Richard Siegel
- Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Kaisa Silander
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Sanna Siltanen
- Finnish Clinical Biobank Tampere, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Sirpa Soini
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | | | - Ioanna Tachmazidou
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Kaisa Tasanen
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Department of Dermatology and Medical Research Center Oulu, Oulu University Hospital, Oulu, Finland
| | - Pentti Tienari
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland.,Translational Immunology, Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - Sanna Toppila-Salmi
- Department of Allergy, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Taru Tukiainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Abdominal Center, Endocrinology, Helsinki University Hospital, Helsinki, Finland.,Folkhalsan Research Center, Helsinki, Finland.,Research Program of Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Joni A Turunen
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,Eye Genetics Group, Folkhälsan Research Center, Helsinki, Finland
| | - Jacob C Ulirsch
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Felix Vaura
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland.,University of Turku, Turku, Finland
| | - Petri Virolainen
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | | | | | | | - Mari Nelis
- Genomics Core Facility, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Anu Reigo
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Andres Metspalu
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tõnu Esko
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Aki S Havulinna
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Markus Perola
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Anu Jalanko
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tarja Laitinen
- Finnish Clinical Biobank Tampere, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Tomi P Mäkelä
- Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | | | | | - Mark J Daly
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland. .,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA. .,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA. .,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
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Abbasi A, Liu M, Riley-Gillis B, Waring J, Jacob H, Brown SM, Cheng T, Mehta R, Smaoui N. 079 Applying human phenomics to electronic health records provides a framework for understanding skin-aging related phenotypes. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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3
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Karczewski KJ, Solomonson M, Chao KR, Goodrich JK, Tiao G, Lu W, Riley-Gillis BM, Tsai EA, Kim HI, Zheng X, Rahimov F, Esmaeeli S, Grundstad AJ, Reppell M, Waring J, Jacob H, Sexton D, Bronson PG, Chen X, Hu X, Goldstein JI, King D, Vittal C, Poterba T, Palmer DS, Churchhouse C, Howrigan DP, Zhou W, Watts NA, Nguyen K, Nguyen H, Mason C, Farnham C, Tolonen C, Gauthier LD, Gupta N, MacArthur DG, Rehm HL, Seed C, Philippakis AA, Daly MJ, Davis JW, Runz H, Miller MR, Neale BM. Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes. Cell Genom 2022; 2:100168. [PMID: 36778668 PMCID: PMC9903662 DOI: 10.1016/j.xgen.2022.100168] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 03/20/2022] [Accepted: 07/16/2022] [Indexed: 01/20/2023]
Abstract
Genome-wide association studies have successfully discovered thousands of common variants associated with human diseases and traits, but the landscape of rare variations in human disease has not been explored at scale. Exome-sequencing studies of population biobanks provide an opportunity to systematically evaluate the impact of rare coding variations across a wide range of phenotypes to discover genes and allelic series relevant to human health and disease. Here, we present results from systematic association analyses of 4,529 phenotypes using single-variant and gene tests of 394,841 individuals in the UK Biobank with exome-sequence data. We find that the discovery of genetic associations is tightly linked to frequency and is correlated with metrics of deleteriousness and natural selection. We highlight biological findings elucidated by these data and release the dataset as a public resource alongside the Genebass browser for rapidly exploring rare-variant association results.
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Affiliation(s)
- Konrad J. Karczewski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Matthew Solomonson
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Katherine R. Chao
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Julia K. Goodrich
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Grace Tiao
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Wenhan Lu
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | | | - Hye In Kim
- Worldwide Research Development and Medical, Pfizer, Inc., Cambridge, MA 02139, USA
| | - Xiuwen Zheng
- Genomics Research Center, AbbVie, North Chicago, IL 60064, USA
| | - Fedik Rahimov
- Genomics Research Center, AbbVie, North Chicago, IL 60064, USA
| | - Sahar Esmaeeli
- Genomics Research Center, AbbVie, North Chicago, IL 60064, USA
| | | | - Mark Reppell
- Genomics Research Center, AbbVie, North Chicago, IL 60064, USA
| | - Jeff Waring
- Genomics Research Center, AbbVie, North Chicago, IL 60064, USA
| | - Howard Jacob
- Genomics Research Center, AbbVie, North Chicago, IL 60064, USA
| | | | | | - Xing Chen
- Worldwide Research Development and Medical, Pfizer, Inc., Cambridge, MA 02139, USA
| | - Xinli Hu
- Worldwide Research Development and Medical, Pfizer, Inc., Cambridge, MA 02139, USA
| | - Jacqueline I. Goldstein
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniel King
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Christopher Vittal
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Timothy Poterba
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Duncan S. Palmer
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Claire Churchhouse
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniel P. Howrigan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Wei Zhou
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Nicholas A. Watts
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Kevin Nguyen
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Huy Nguyen
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Cara Mason
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Christopher Farnham
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Charlotte Tolonen
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Laura D. Gauthier
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Namrata Gupta
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniel G. MacArthur
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Heidi L. Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Cotton Seed
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Mark J. Daly
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Institute for Molecular Medicine Finland, Helsinki, Finland
| | - J. Wade Davis
- Genomics Research Center, AbbVie, North Chicago, IL 60064, USA
| | | | - Melissa R. Miller
- Worldwide Research Development and Medical, Pfizer, Inc., Cambridge, MA 02139, USA
| | - Benjamin M. Neale
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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4
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Fang LT, Zhu B, Zhao Y, Chen W, Yang Z, Kerrigan L, Langenbach K, de Mars M, Lu C, Idler K, Jacob H, Zheng Y, Ren L, Yu Y, Jaeger E, Schroth GP, Abaan OD, Talsania K, Lack J, Shen TW, Chen Z, Stanbouly S, Tran B, Shetty J, Kriga Y, Meerzaman D, Nguyen C, Petitjean V, Sultan M, Cam M, Mehta M, Hung T, Peters E, Kalamegham R, Sahraeian SME, Mohiyuddin M, Guo Y, Yao L, Song L, Lam HYK, Drabek J, Vojta P, Maestro R, Gasparotto D, Kõks S, Reimann E, Scherer A, Nordlund J, Liljedahl U, Jensen RV, Pirooznia M, Li Z, Xiao C, Sherry ST, Kusko R, Moos M, Donaldson E, Tezak Z, Ning B, Tong W, Li J, Duerken-Hughes P, Catalanotti C, Maheshwari S, Shuga J, Liang WS, Keats J, Adkins J, Tassone E, Zismann V, McDaniel T, Trent J, Foox J, Butler D, Mason CE, Hong H, Shi L, Wang C, Xiao W. Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing. Nat Biotechnol 2021; 39:1151-1160. [PMID: 34504347 PMCID: PMC8532138 DOI: 10.1038/s41587-021-00993-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [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: 05/02/2019] [Accepted: 06/18/2021] [Indexed: 02/08/2023]
Abstract
The lack of samples for generating standardized DNA datasets for setting up a sequencing pipeline or benchmarking the performance of different algorithms limits the implementation and uptake of cancer genomics. Here, we describe reference call sets obtained from paired tumor-normal genomic DNA (gDNA) samples derived from a breast cancer cell line-which is highly heterogeneous, with an aneuploid genome, and enriched in somatic alterations-and a matched lymphoblastoid cell line. We partially validated both somatic mutations and germline variants in these call sets via whole-exome sequencing (WES) with different sequencing platforms and targeted sequencing with >2,000-fold coverage, spanning 82% of genomic regions with high confidence. Although the gDNA reference samples are not representative of primary cancer cells from a clinical sample, when setting up a sequencing pipeline, they not only minimize potential biases from technologies, assays and informatics but also provide a unique resource for benchmarking 'tumor-only' or 'matched tumor-normal' analyses.
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Affiliation(s)
- Li Tai Fang
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yongmei Zhao
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Wanqiu Chen
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Zhaowei Yang
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
- Department of Allergy and Clinical Immunology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Liz Kerrigan
- ATCC (American Type Culture Collection), Manassas, VA, USA
| | | | | | - Charles Lu
- Computational Genomics, Genomics Research Center (GRC), AbbVie, North Chicago, IL, USA
| | - Kenneth Idler
- Computational Genomics, Genomics Research Center (GRC), AbbVie, North Chicago, IL, USA
| | - Howard Jacob
- Computational Genomics, Genomics Research Center (GRC), AbbVie, North Chicago, IL, USA
| | - Yuanting Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Luyao Ren
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | | | | | | | - Keyur Talsania
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Justin Lack
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Tsai-Wei Shen
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Zhong Chen
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Seta Stanbouly
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Bao Tran
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Jyoti Shetty
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Yuliya Kriga
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Daoud Meerzaman
- Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics and Information Technology (CBIIT), National Cancer Institute, Rockville, MD, USA
| | - Cu Nguyen
- Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics and Information Technology (CBIIT), National Cancer Institute, Rockville, MD, USA
| | - Virginie Petitjean
- Biomarker Development, Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - Marc Sultan
- Biomarker Development, Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - Margaret Cam
- CCR Collaborative Bioinformatics Resource (CCBR), Office of Science and Technology Resources, Center for Cancer Research, Bethesda, MD, USA
| | - Monika Mehta
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Tiffany Hung
- Genentech, a member of the Roche group, South San Francisco, CA, USA
| | - Eric Peters
- Genentech, a member of the Roche group, South San Francisco, CA, USA
| | - Rasika Kalamegham
- Genentech, a member of the Roche group, South San Francisco, CA, USA
| | | | - Marghoob Mohiyuddin
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Yunfei Guo
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Lijing Yao
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hugo Y K Lam
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Jiri Drabek
- IMTM, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
| | - Petr Vojta
- IMTM, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
| | - Roberta Maestro
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Unit of Oncogenetics and Functional Oncogenomics, Aviano, Italy
| | - Daniela Gasparotto
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Unit of Oncogenetics and Functional Oncogenomics, Aviano, Italy
| | - Sulev Kõks
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Ene Reimann
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Andreas Scherer
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Jessica Nordlund
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Ulrika Liljedahl
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Roderick V Jensen
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA
| | - Mehdi Pirooznia
- Bioinformatics and Computational Biology Core, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhipan Li
- Sentieon Inc., Mountain View, CA, USA
| | - Chunlin Xiao
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Stephen T Sherry
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | - Malcolm Moos
- Center for Biologics Evaluation and Research, FDA, Silver Spring, MD, USA
| | - Eric Donaldson
- Center for Drug Evaluation and Research, FDA, Silver Spring, MD, USA
| | - Zivana Tezak
- Center for Devices and Radiological Health, FDA, Silver Spring, MD, USA
| | - Baitang Ning
- National Center for Toxicological Research, FDA, Jefferson, AR, USA
| | - Weida Tong
- National Center for Toxicological Research, FDA, Jefferson, AR, USA
| | - Jing Li
- Department of Allergy and Clinical Immunology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | | | | | | | - Winnie S Liang
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Jonathan Keats
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | | | - Erica Tassone
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | | | | | - Jeffrey Trent
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Huixiao Hong
- National Center for Toxicological Research, FDA, Jefferson, AR, USA.
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China.
| | - Charles Wang
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA.
- Department of Basic Science, Loma Linda University School of Medicine, Loma Linda, CA, USA.
| | - Wenming Xiao
- Center for Devices and Radiological Health, FDA, Silver Spring, MD, USA.
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5
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Xiao W, Ren L, Chen Z, Fang LT, Zhao Y, Lack J, Guan M, Zhu B, Jaeger E, Kerrigan L, Blomquist TM, Hung T, Sultan M, Idler K, Lu C, Scherer A, Kusko R, Moos M, Xiao C, Sherry ST, Abaan OD, Chen W, Chen X, Nordlund J, Liljedahl U, Maestro R, Polano M, Drabek J, Vojta P, Kõks S, Reimann E, Madala BS, Mercer T, Miller C, Jacob H, Truong T, Moshrefi A, Natarajan A, Granat A, Schroth GP, Kalamegham R, Peters E, Petitjean V, Walton A, Shen TW, Talsania K, Vera CJ, Langenbach K, de Mars M, Hipp JA, Willey JC, Wang J, Shetty J, Kriga Y, Raziuddin A, Tran B, Zheng Y, Yu Y, Cam M, Jailwala P, Nguyen C, Meerzaman D, Chen Q, Yan C, Ernest B, Mehra U, Jensen RV, Jones W, Li JL, Papas BN, Pirooznia M, Chen YC, Seifuddin F, Li Z, Liu X, Resch W, Wang J, Wu L, Yavas G, Miles C, Ning B, Tong W, Mason CE, Donaldson E, Lababidi S, Staudt LM, Tezak Z, Hong H, Wang C, Shi L. Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing. Nat Biotechnol 2021; 39:1141-1150. [PMID: 34504346 PMCID: PMC8506910 DOI: 10.1038/s41587-021-00994-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [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: 09/26/2018] [Accepted: 06/18/2021] [Indexed: 02/01/2023]
Abstract
Clinical applications of precision oncology require accurate tests that can distinguish true cancer-specific mutations from errors introduced at each step of next-generation sequencing (NGS). To date, no bulk sequencing study has addressed the effects of cross-site reproducibility, nor the biological, technical and computational factors that influence variant identification. Here we report a systematic interrogation of somatic mutations in paired tumor-normal cell lines to identify factors affecting detection reproducibility and accuracy at six different centers. Using whole-genome sequencing (WGS) and whole-exome sequencing (WES), we evaluated the reproducibility of different sample types with varying input amount and tumor purity, and multiple library construction protocols, followed by processing with nine bioinformatics pipelines. We found that read coverage and callers affected both WGS and WES reproducibility, but WES performance was influenced by insert fragment size, genomic copy content and the global imbalance score (GIV; G > T/C > A). Finally, taking into account library preparation protocol, tumor content, read coverage and bioinformatics processes concomitantly, we recommend actionable practices to improve the reproducibility and accuracy of NGS experiments for cancer mutation detection.
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Affiliation(s)
- Wenming Xiao
- The Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.
| | - Luyao Ren
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Zhong Chen
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Li Tai Fang
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Yongmei Zhao
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Justin Lack
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | | | | | - Thomas M Blomquist
- Departments of Medicine and Pathology, University of Toledo Medical Center, Toledo, OH, USA
| | | | - Marc Sultan
- Biomarker Development, Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - Kenneth Idler
- Computational Genomics, Genomics Research Center, AbbVie, North Chicago, IL, USA
| | - Charles Lu
- Computational Genomics, Genomics Research Center, AbbVie, North Chicago, IL, USA
| | - Andreas Scherer
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
| | | | - Malcolm Moos
- The Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Chunlin Xiao
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Stephen T Sherry
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Ogan D Abaan
- Illumina Inc., Foster City, CA, USA
- Seven Bridges Genomics Inc., Cambridge, MA, USA
| | - Wanqiu Chen
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Xin Chen
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Jessica Nordlund
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Ulrika Liljedahl
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Centro di Riferimento Oncologico di Aviano IRCCS, National Cancer Institute, Unit of Oncogenetics and Functional Oncogenomics, Aviano, Italy
| | - Roberta Maestro
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Centro di Riferimento Oncologico di Aviano IRCCS, National Cancer Institute, Unit of Oncogenetics and Functional Oncogenomics, Aviano, Italy
| | - Maurizio Polano
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Centro di Riferimento Oncologico di Aviano IRCCS, National Cancer Institute, Unit of Oncogenetics and Functional Oncogenomics, Aviano, Italy
| | - Jiri Drabek
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- IMTM, Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Petr Vojta
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- IMTM, Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Sulev Kõks
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Perron Institute for Neurological and Translational Science, Nedlands, Perth, Western Australia, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, Perth, Western Australia, Australia
| | - Ene Reimann
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Bindu Swapna Madala
- Garvan Institute of Medical Research, The Kinghorn Cancer Centre, Darlinghurst, New South Wales, Australia
| | - Timothy Mercer
- Garvan Institute of Medical Research, The Kinghorn Cancer Centre, Darlinghurst, New South Wales, Australia
| | - Chris Miller
- Computational Genomics, Genomics Research Center, AbbVie, North Chicago, IL, USA
| | - Howard Jacob
- Computational Genomics, Genomics Research Center, AbbVie, North Chicago, IL, USA
| | | | | | | | | | | | | | | | - Virginie Petitjean
- Biomarker Development, Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - Ashley Walton
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Tsai-Wei Shen
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Keyur Talsania
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Cristobal Juan Vera
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | | | - Jennifer A Hipp
- Departments of Medicine and Pathology, University of Toledo Medical Center, Toledo, OH, USA
| | - James C Willey
- Departments of Medicine and Pathology, University of Toledo Medical Center, Toledo, OH, USA
| | - Jing Wang
- National Institute of Metrology, Beijing, China
| | - Jyoti Shetty
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Yuliya Kriga
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Arati Raziuddin
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bao Tran
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Yuanting Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Margaret Cam
- CCR Collaborative Bioinformatics Resource, Office of Science and Technology Resources, Center for Cancer Research, Bethesda, MD, USA
| | - Parthav Jailwala
- CCR Collaborative Bioinformatics Resource, Office of Science and Technology Resources, Center for Cancer Research, Bethesda, MD, USA
| | - Cu Nguyen
- Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, USA
| | - Daoud Meerzaman
- Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, USA
| | - Qingrong Chen
- Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, USA
| | - Chunhua Yan
- Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, USA
| | | | | | - Roderick V Jensen
- Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | | | - Jian-Liang Li
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Brian N Papas
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Mehdi Pirooznia
- Bioinformatics and Computational Biology Core, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yun-Ching Chen
- Bioinformatics and Computational Biology Core, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Fayaz Seifuddin
- Bioinformatics and Computational Biology Core, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhipan Li
- Sentieon Inc., Mountain View, CA, USA
| | - Xuelu Liu
- Center for Information Technology, National Institutes of Health, Bethesda, MD, USA
| | - Wolfgang Resch
- Center for Information Technology, National Institutes of Health, Bethesda, MD, USA
| | | | - Leihong Wu
- National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA
| | - Gokhan Yavas
- National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA
| | - Corey Miles
- National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA
| | - Baitang Ning
- National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA
| | - Weida Tong
- National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Eric Donaldson
- The Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Samir Lababidi
- Office of the Chief Scientist, Office of the Commissioner, US Food and Drug Information, Silver Spring, MD, USA
| | - Louis M Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zivana Tezak
- The Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA
| | - Huixiao Hong
- National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA
| | - Charles Wang
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA.
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China.
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6
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O'Connor JJ, Fobert EK, Besson M, Jacob H, Lecchini D. Live fast, die young: Behavioural and physiological impacts of light pollution on a marine fish during larval recruitment. Mar Pollut Bull 2019; 146:908-914. [PMID: 31426235 DOI: 10.1016/j.marpolbul.2019.05.038] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 05/16/2019] [Accepted: 05/16/2019] [Indexed: 06/10/2023]
Abstract
Artificial light at night (ALAN) is a recently acknowledged form of anthropogenic pollution of growing concern to the biology and ecology of exposed organisms. Though ALAN can have detrimental effects on physiology and behaviour, we have little understanding of how marine organisms in coastal areas may be impacted. Here, we investigated the effects of ALAN exposure on coral reef fish larvae during the critical recruitment stage, encompassing settlement, metamorphosis, and post-settlement survival. We found that larvae avoided illuminated settlement habitats, however those living under ALAN conditions for 10 days post-settlement experienced changes in swimming behaviour and higher susceptibility to nocturnal predation. Although ALAN-exposed fish grew faster and heavier than control fish, they also experienced significantly higher mortality rates by the end of the experimental period. This is the first study on the ecological impacts of ALAN during the early life history of marine fish.
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Affiliation(s)
- J J O'Connor
- School of BioSciences, University of Melbourne, Parkville, VIC 3010, Australia; Institute for Pacific Coral Reefs, IRCP, 98729, Moorea, French Polynesia.
| | - E K Fobert
- School of BioSciences, University of Melbourne, Parkville, VIC 3010, Australia
| | - M Besson
- PSL Research University: EPHE-UPVD-CNRS, USR3278 CRIOBE, BP 1013, 98729 Papetoai, Moorea, French Polynesia; Observatoire Océanologique de Banyuls-sur-Mer, UMR7232, Université Pierre et Marie Curie Paris, 1 avenue du Fontaulé, 66650 Banyuls-sur-Mer, France
| | - H Jacob
- PSL Research University: EPHE-UPVD-CNRS, USR3278 CRIOBE, BP 1013, 98729 Papetoai, Moorea, French Polynesia; International Atomic Energy Agency, Environment Laboratories, 4a, Quai Antoine 1er, Principality of Monaco, Monaco
| | - D Lecchini
- Institute for Pacific Coral Reefs, IRCP, 98729, Moorea, French Polynesia; PSL Research University: EPHE-UPVD-CNRS, USR3278 CRIOBE, BP 1013, 98729 Papetoai, Moorea, French Polynesia; Laboratoire d'Excellence "CORAIL", Moorea, French Polynesia
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7
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Daher S, Khoury T, Benson AA, Tsvang E, Elazary R, Jacob H. Hospital management of colonic perforations complicating ambulatory outpatient colonoscopy via over-the-scope clips or surgery: a case series. Tech Coloproctol 2019; 23:681-685. [PMID: 31338712 DOI: 10.1007/s10151-019-02045-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 07/17/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Colonoscopy is the standard of care for the diagnosis and treatment of many colonic disorders. Over the past few years, endoscopic closure of colonoscopy-related perforation has become more common. Endoscopic closure of perforation secondary to colonoscopy has been undertaken in patients in the hospital setting and often during the same colonoscopic procedure in which the perforation itself occurred. The aim of our study was to analyze our experience with emergency endoscopic closure of colonoscopy-related perforation with over-the-scope clip (OTSC) technique. METHODS We report five cases of colonic perforation that occurred during colonoscopy in an outpatient facility remotely located from our hospital and then referred as an emergency to our institution for endoscopic closure. RESULTS Bowel preparation was reported to be adequate in all cases. Prior to attempting endoscopic closure of colonic perforation, all patients were in stable clinical condition, early broad-spectrum antibiotic coverage was initiated, and a surgical consult was obtained. All patients had sigmoidoscopy and were found to have sigmoid colon perforations. In three cases, the perforations were closed successfully using an OTSC clip device 14 mm type t. Two patients were found to have greater than 4-cm sigmoid perforations with irregular margins, incompatible with OTSC closure, and were referred for emergency surgery. All patients had an uneventful course following either OTSC closure or surgery. CONCLUSIONS Based on the characteristics of the five cases and a review of the literature, we suggest a practical approach for undertaking closure of colonic perforations occurring during colonoscopy in the outpatient setting, focusing on clinical criteria to determine eligibility of patients for attempted endoscopic closure and outlining required therapeutic and monitoring steps needed to optimize outcomes.
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Affiliation(s)
- S Daher
- Division of Medicine, Institute of Gastroenterology and Liver Disease, Hadassah-Hebrew University Medical Center, P.O.B. 12000, 91120, Jerusalem, Israel
| | - T Khoury
- Division of Medicine, Institute of Gastroenterology and Liver Disease, Hadassah-Hebrew University Medical Center, P.O.B. 12000, 91120, Jerusalem, Israel.
- Department of Gastroenterology, Galilee Medical Center, Nahariya, Israel.
- Faculty of Medicine in the Galilee, Bar-Ilan University, Safed, Israel.
| | - A A Benson
- Division of Medicine, Institute of Gastroenterology and Liver Disease, Hadassah-Hebrew University Medical Center, P.O.B. 12000, 91120, Jerusalem, Israel
| | - E Tsvang
- Division of Medicine, Institute of Gastroenterology and Liver Disease, Hadassah-Hebrew University Medical Center, P.O.B. 12000, 91120, Jerusalem, Israel
| | - R Elazary
- Department of General Surgery, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - H Jacob
- Division of Medicine, Institute of Gastroenterology and Liver Disease, Hadassah-Hebrew University Medical Center, P.O.B. 12000, 91120, Jerusalem, Israel
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8
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Levy H, Jia S, Pan A, Zhang X, Kaldunski M, Nugent ML, Reske M, Feliciano RA, Quintero D, Renda MM, Woods KJ, Murkowski K, Johnson K, Verbsky J, Dasu T, Ideozu JE, McColley S, Quasney MW, Dahmer MK, Avner E, Farrell PM, Cannon CL, Jacob H, Simpson PM, Hessner MJ. Identification of molecular signatures of cystic fibrosis disease status with plasma-based functional genomics. Physiol Genomics 2018; 51:27-41. [PMID: 30540547 DOI: 10.1152/physiolgenomics.00109.2018] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Although cystic fibrosis (CF) is attributed to dysfunction of a single gene, the relationships between the abnormal gene product and the development of inflammation and progression of lung disease are not fully understood, which limits our ability to predict an individual patient's clinical course and treatment response. To better understand CF progression, we characterized the molecular signatures of CF disease status with plasma-based functional genomics. Peripheral blood mononuclear cells (PBMCs) from healthy donors were cultured with plasma samples from CF patients ( n = 103) and unrelated, healthy controls ( n = 31). Gene expression levels were measured with an Affymetrix microarray (GeneChip Human Genome U133 Plus 2.0). Peripheral blood samples from a subset of the CF patients ( n = 40) were immunophenotyped by flow cytometry, and the data were compared with historical data for age-matched healthy controls ( n = 351). Plasma samples from another subset of CF patients ( n = 56) and healthy controls ( n = 16) were analyzed by multiplex enzyme-linked immunosorbent assay (ELISA) for numerous cytokines and chemokines. Principal component analysis and hierarchical clustering of induced transcriptional data revealed disease-specific plasma-induced PBMC profiles. Among 1,094 differentially expressed probe sets, 51 genes were associated with pancreatic sufficient status, and 224 genes were associated with infection with Pseudomonas aeruginosa. The flow cytometry and ELISA data confirmed that various immune modulators are relevant contributors to the CF molecular signature. This study provides strong evidence for distinct molecular signatures among CF patients. An understanding of these molecular signatures may lead to unique molecular markers that will enable more personalized prognoses, individualized treatment plans, and rapid monitoring of treatment response.
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Affiliation(s)
- Hara Levy
- Human Molecular Genetics Program, Stanley Manne Children's Research Institute of Chicago , Chicago, Illinois.,Division of Pulmonary Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago , Chicago, Illinois.,Northwestern University Feinberg School of Medicine , Chicago, Illinois
| | - Shuang Jia
- Division of Endocrinology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin.,Max McGee National Research Center for Juvenile Diabetes, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Amy Pan
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin.,Division of Quantitative Health Sciences, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Xi Zhang
- Human Molecular Genetics Program, Stanley Manne Children's Research Institute of Chicago , Chicago, Illinois.,Division of Pulmonary Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago , Chicago, Illinois.,Northwestern University Feinberg School of Medicine , Chicago, Illinois
| | - Mary Kaldunski
- Division of Endocrinology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin.,Max McGee National Research Center for Juvenile Diabetes, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Melodee L Nugent
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin.,Division of Quantitative Health Sciences, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Melissa Reske
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin
| | - Rachel A Feliciano
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin
| | - Diana Quintero
- Division of Pulmonology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Michael M Renda
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin
| | - Katherine J Woods
- Division of Pediatric Critical Care Medicine, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Kathy Murkowski
- Division of Pediatric Critical Care Medicine, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Keven Johnson
- Human Molecular Genetics Program, Stanley Manne Children's Research Institute of Chicago , Chicago, Illinois
| | - James Verbsky
- Division of Rheumatology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Trivikram Dasu
- Division of Rheumatology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Justin Eze Ideozu
- Human Molecular Genetics Program, Stanley Manne Children's Research Institute of Chicago , Chicago, Illinois.,Division of Pulmonary Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago , Chicago, Illinois.,Northwestern University Feinberg School of Medicine , Chicago, Illinois
| | - Susanna McColley
- Division of Pulmonary Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago , Chicago, Illinois.,Northwestern University Feinberg School of Medicine , Chicago, Illinois
| | - Michael W Quasney
- Division of Pediatric Critical Care Medicine, University of Michigan Medical School , Ann Arbor, Michigan
| | - Mary K Dahmer
- Division of Pediatric Critical Care Medicine, University of Michigan Medical School , Ann Arbor, Michigan
| | - Ellis Avner
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin.,Division of Nephrology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Philip M Farrell
- Department of Pediatrics and Population Health Sciences, University of Wisconsin School of Medicine and Public Health , Madison, Wisconsin
| | - Carolyn L Cannon
- Division of Pulmonary Medicine, Department of Pediatrics, Baylor College of Medicine , Houston, Texas
| | - Howard Jacob
- Genomic Medicine, Institute for Biotechnology, Hudson Alpha, Huntsville, Alabama
| | - Pippa M Simpson
- Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin.,Division of Quantitative Health Sciences, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Martin J Hessner
- Division of Endocrinology, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin.,Max McGee National Research Center for Juvenile Diabetes, Department of Pediatrics, Medical College of Wisconsin , Milwaukee, Wisconsin.,Children's Research Institute of the Children's Hospital of Wisconsin , Milwaukee, Wisconsin
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9
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Wildgruber D, Ritter J, Jacob H, Kreifelts B. PB5. Perspective taking during laughter perception. Clin Neurophysiol 2018. [DOI: 10.1016/j.clinph.2018.04.630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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10
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C.Wu F, Dumas P, Rangel-Filho A, Datta M, Ning G, Cooley B, Majewski R, Provoost A, Jacob H, Datta Y. Genetic mapping and characterization of the bleeding disorder in the fawn-hooded hypertensive rat. Thromb Haemost 2017. [DOI: 10.1055/s-0037-1613405] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
SummaryRelease of platelet dense granule contents occurs in response to vascular injury, playing an important role in platelet aggregation and primary hemostasis. Abnormalities of the platelet dense granules results in a bleeding disorder of variable severity termed “storage pool defect” (SPD). We have examined the fawn-hooded hypertensive (FHH) rat as a model of SPD in order to genetically map the locus (Bd) responsible for prolonged bleeding. Platelet function assays of the FHH rat confirmed the presence of a platelet dense granule SPD. However electron microscopy and lysosomal enzyme assays indicated differences between the FHH rat and other rodent models of SPD. Genetic mapping through the use of congenic FHH rats localized the Bd locus to an approximately 1 cM region on rat chromosome 1. Through the use of comparative mapping between species and analysis of the initial draft of the rat genome assembly, six known and thirty-four putative genes were identified in the Bd locus. None of these genes have been previously implicated in platelet function. Therefore positional cloning of the gene responsible for the bleeding disorder in the FHH rat will lead to new insights in platelet physiology, with implications for diagnosis and management of hemostatic and thrombotic disorders.
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Abstract
Howard Jacob is best known for pioneering genomic sequencing of a patient to solve a mysterious pediatric case in 2010. With roots in pharmacology and cardiovascular disease, however, his career has largely been dedicated to dissecting the physiology and genetics of the rat to help understand complex human diseases. Howard was Director of the Human and Molecular Genetics Center at the Medical College of Wisconsin for 16 years, during which time he applied a combination of approaches, including quantitative genetics, integrative physiology and next-generation sequencing, in rat models to shed light on cardiovascular, metabolic and renal disorders. He was a key contributor to the genomic toolbox for rat research, and generated the first targeted-knockout rat models using zinc-finger-nuclease technology. He also contributed to sequencing of the rat genome and establishment of the Rat Genome Database. In this interview, Howard provides his perspectives on the past, present and future of rat-based translational research and explains why, despite his many successes as the leader of a rat group, he recently made the transition to clinical genomics. Summary: Howard Jacob describes some of the key moments and breakthroughs in his remarkable career, and the path that led him from his research roots in cardiovascular disease and rat physiology to becoming Director of a clinical genomic sequencing program.
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Affiliation(s)
- Howard Jacob
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
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12
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Xiao W, Wu L, Yavas G, Hong H, Ning B, Tong W, Donaldson EF, Tezak Z, Philip R, Jacob H, Staudt LM. Abstract 1556: Algorithms for discovery of somatic single nucleotide mutation display specific artifacts and different detection capabilities under the effect of read coverage and sample heterogeneity. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-1556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Understanding the performance and capability of different bioinformatics algorithms used for the discovery of somatic variants is very important for helping scientists choose an appropriate tool for cancer research. In this study, we developed a comparison approach and created a series of data sets that could be used to provide such guidance. We mixed reads from two well characterized individuals, NA12878 and NA24385, and generated a series of data sets with different coverages and sample heterogeneity. We then used these data sets to evaluate five commonly utilized somatic mutation detection tools. Our results indicate that read coverage has a significant impact on the accuracy and capability of mutation calling by individual bioinformatics algorithms. The mutation caller that performs well with high read coverage may perform poorly with low read coverage. On the other hand, the tool that performed well in calling variants in a relatively higher homogeneity sample may not have the same power to detect rare variants with low mutation allele frequency. In addition, we demonstrated that different mutation calling algorithms are associated with specific artifacts that were sensitive to read coverage. Furthermore, there were large numbers of false positives and false negatives shared by five callers, indicating that other factors, such as read alignment, library preparation, and even the properties of the sequencing platform could be the sources of false discovery for somatic variants. We observed similar behavior of the five variant calling algorithms using the sequencing data of a pair of matched tumor/normal cell lines, confirming the findings from the comparative analyses on the mixture of reads from the two normal individuals. Our findings are expected to facilitate selection of bioinformatics pipelines that fit for specific purposes in cancer research based on sequencing data.
Citation Format: Wenming Xiao, Leihong Wu, Gokhan Yavas, Huixiao Hong, Baitang Ning, Weida Tong, Eric F. Donaldson, Zivana Tezak, Reena Philip, Howard Jacob, Louis M. Staudt. Algorithms for discovery of somatic single nucleotide mutation display specific artifacts and different detection capabilities under the effect of read coverage and sample heterogeneity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1556. doi:10.1158/1538-7445.AM2017-1556
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13
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Jacob H, Metian M, Brooker RM, Duran E, Nakamura N, Roux N, Masanet P, Soulat O, Lecchini D. First description of the neuro-anatomy of a larval coral reef fish Amphiprion ocellaris. J Fish Biol 2016; 89:1583-1591. [PMID: 27346539 DOI: 10.1111/jfb.13057] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 05/09/2016] [Indexed: 06/06/2023]
Abstract
The present study described the neuro-anatomy of a larval coral reef fish Amphiprion ocellaris and hypothesized that morphological changes during the transition from the oceanic environment to a reef environment (i.e. recruitment) have the potential to be driven by changes to environmental conditions and associated changes to cognitive requirements. Quantitative comparisons were made of the relative development of three specific brain areas (telencephalon, mesencephalon and cerebellum) between 6 days post-hatch (dph) larvae (oceanic phase) and 11 dph (at reef recruitment). The results showed that 6 dph larvae had at least two larger structures (telencephalon and mesencephalon) than 11 dph larvae, while the size of cerebellum remained identical. These results suggest that the structure and organization of the brain may reflect the cognitive demands at every stage of development. This study initiates analysis of the relationship between behavioural ecology and neuroscience in coral reef fishes.
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Affiliation(s)
- H Jacob
- USR 3278 CNRS-EPHE-UPVD, Paris Sciences Lettres (PSL), Université de Perpignan via Domitia, 66100, Perpignan, France
- International Atomic Energy Agency, Environment Laboratories (IAEA-EL), Principality of Monaco, 98000, Monaco
| | - M Metian
- International Atomic Energy Agency, Environment Laboratories (IAEA-EL), Principality of Monaco, 98000, Monaco
| | - R M Brooker
- School Marine Science and Policy, University of Delaware, 07101, Newark, U.S.A
| | - E Duran
- Laboratorio de Psicobiologia, University of Sevilla, 41000, Sevilla, Spain
| | - N Nakamura
- USR 3278 CNRS-EPHE-UPVD, Paris Sciences Lettres (PSL), Université de Perpignan via Domitia, 66100, Perpignan, France
| | - N Roux
- USR 3278 CNRS-EPHE-UPVD, Paris Sciences Lettres (PSL), Université de Perpignan via Domitia, 66100, Perpignan, France
- Equipe Biologie Intégrative de la Métamorphose BIOM UMR7232 CNRS-UPMC Observatoire Océanologique de Banyuls sur mer, 66650, Banyuls sur mer, France
| | - P Masanet
- Aquarium de Canet-en-Roussillon, 66140, Canet-en-Roussillon, France
| | - O Soulat
- Aquarium de Canet-en-Roussillon, 66140, Canet-en-Roussillon, France
| | - D Lecchini
- USR 3278 CNRS-EPHE-UPVD, Paris Sciences Lettres (PSL), Université de Perpignan via Domitia, 66100, Perpignan, France
- Laboratoire d'Excellence "CORAIL", 98729, Moorea, French Polynesia
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14
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Bergom C, Straza M, Rymaszewski A, Frei A, Lemke A, Tsaih SW, Jacob H, Flister MJ. Abstract B07: Utilizing consomic xenograft models to identify genetic variants in the tumor microenvironment that determine breast cancer radiation responses. Cancer Res 2016. [DOI: 10.1158/1538-7445.tme16-b07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Progress in elucidating the molecular basis of breast cancer has allowed for treatment breakthroughs such as anti-estrogen and Her2-targeted therapy. It has also shaped the approaches to both surgical and systemic therapy. However, no similar use of molecular information has been utilized to better direct the use of radiation therapy. The development of predictive tools for the radiosensitivity of tumors could allow for personally tailored radiation doses, with treatment de-escalation for radiosensitive tumors, or dose escalation or the use of adjunct treatments in the case of radioresistant tumors. Communication between malignant tumor cells and the tumor microenvironment (TME) underlies most aspects of tumor biology, including chemotherapy and radiation resistance. We have developed a Consomic Xenograft Model (CXM), which maps germline variants that impact only the TME, as well as a species-specific RNA-seq (SSRS) protocol which allows detection of expression changes in the malignant and nonmalignant cellular compartments of tumor xenografts, in parallel and without cell-sorting. Here we utilize these unique techniques to identify genetic variants in the TME that can affect radiation sensitivity. In CXM, human triple negative breast cancer MDA-MD-231 cells are orthotopically implanted into immunodeficient (IL2Rγ-/-) consomic rat strains, which are rat strains in which an entire chromosome is introgressed into the isogenic background of another inbred strain by selective breeding. Because the strain backgrounds are different but the tumor cells are not varied, the observed changes in tumor progression are due to genetic differences in the non-malignant TME. We hypothesized that the tumors in SS.BN3 rats (identical to SS rats but with BN strain chromosome 3) would be more sensitive to radiation due to increased tumor vascularity via CD31 staining, and increased tumor blood volume capacity, as measured by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Our studies demonstrate differential responses to radiation in the CXM model comparing parental SS (IL2Rγ) rats to SS.BN3 (IL2Rγ) rats treated with fractionated radiation therapy (4 Gray x 3), with altered tumor growth kinetics and tumor recurrence rates. A difference was seen in time to 5-fold increase in tumor growth, with 44 vs. >130 days for SS versus SS.BN3 rats (supra-additive, p<0.05). There was a recurrence-free survival of 30% vs. 67% at 130 days, with a median time to recurrence of 57 days vs. time not reached (>130 days) in the SS versus SS.BN3 rats (p=0.02). These results suggest that genetic determinants in the TME affect the radiation sensitivity of genetically identical tumor cells. Using SSRS, we identified a number of candidates on rat chromosome 3 that may potentially influence radiation sensitivity by altering the tumor vasculature. Future studies will further dissect the pathways responsible for the changes in radiation sensitivity. Determining TME factors that affect the radiation sensitivity of tumors has the potential to allow for more tailored and effective radiation treatments in breast cancer.
Citation Format: Carmen Bergom, Michael Straza, Amy Rymaszewski, Anne Frei, Angela Lemke, Shirng-Wern Tsaih, Howard Jacob, Michael J. Flister. Utilizing consomic xenograft models to identify genetic variants in the tumor microenvironment that determine breast cancer radiation responses. [abstract]. In: Proceedings of the AACR Special Conference: Function of Tumor Microenvironment in Cancer Progression; 2016 Jan 7–10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2016;76(15 Suppl):Abstract nr B07.
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Affiliation(s)
| | | | | | - Anne Frei
- 1Medical College of Wisconsin, Milwaukee, WI,
| | | | | | - Howard Jacob
- 2HudsonAlpha Institute for Biotechnology, Huntsville, AL
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15
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Xia S, Kohli M, Du M, Dittmar RL, Lee A, Nandy D, Yuan T, Guo Y, Wang Y, Tschannen MR, Worthey E, Jacob H, See W, Kilari D, Wang X, Hovey RL, Huang CC, Wang L. Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer. Oncotarget 2016; 6:16411-21. [PMID: 25915538 PMCID: PMC4599278 DOI: 10.18632/oncotarget.3845] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Accepted: 03/20/2015] [Indexed: 12/20/2022] Open
Abstract
Liquid biopsies, examinations of tumor components in body fluids, have shown promise for predicting clinical outcomes. To evaluate tumor-associated genomic and genetic variations in plasma cell-free DNA (cfDNA) and their associations with treatment response and overall survival, we applied whole genome and targeted sequencing to examine the plasma cfDNAs derived from 20 patients with advanced prostate cancer. Sequencing-based genomic abnormality analysis revealed locus-specific gains or losses that were common in prostate cancer, such as 8q gains, AR amplifications, PTEN losses and TMPRSS2-ERG fusions. To estimate tumor burden in cfDNA, we developed a Plasma Genomic Abnormality (PGA) score by summing the most significant copy number variations. Cox regression analysis showed that PGA scores were significantly associated with overall survival (p < 0.04). After androgen deprivation therapy or chemotherapy, targeted sequencing showed significant mutational profile changes in genes involved in androgen biosynthesis, AR activation, DNA repair, and chemotherapy resistance. These changes may reflect the dynamic evolution of heterozygous tumor populations in response to these treatments. These results strongly support the feasibility of using non-invasive liquid biopsies as potential tools to study biological mechanisms underlying therapy-specific resistance and to predict disease progression in advanced prostate cancer.
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Affiliation(s)
- Shu Xia
- Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Manish Kohli
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Meijun Du
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Rachel L Dittmar
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Adam Lee
- Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Debashis Nandy
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Tiezheng Yuan
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Yongchen Guo
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Yuan Wang
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Michael R Tschannen
- Human Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Elizabeth Worthey
- Human Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Howard Jacob
- Human Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - William See
- Department of Urology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Deepak Kilari
- Department of Urology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Xuexia Wang
- Joseph J. Zilber School of Public Health, University of Wisconsin, Milwaukee, WI, USA
| | - Raymond L Hovey
- Great Lakes Genomics Center, School of Freshwater Sciences, University of Wisconsin, Milwaukee, WI, USA
| | - Chiang-Ching Huang
- Joseph J. Zilber School of Public Health, University of Wisconsin, Milwaukee, WI, USA
| | - Liang Wang
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
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Flister MJ, Stoddard A, Tsaih SW, Lemke A, Lazar J, Jacob H. Abstract PR16: New tools for mapping genetic modifiers of cancer risk in the tumor microenvironment. Cancer Res 2015. [DOI: 10.1158/1538-7445.transcagen-pr16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The majority of heritable breast cancer risk is unknown. One potential source of “missing heritability” is genetic modifiers in the tumor microenvironment (TME). Although genetic modifiers in the TME have long been suspected, they have rarely been studied and are largely unknown. Here, we used two new techniques: the Consomic Xenograft Model (CXM) and species-specific RNA-seq (SSRS) to map genetic modifiers in the TME. In CXM, human breast cancer xenografts are implanted in immunodeficient consomic rat strains and tracked for tumor progression. Because the rat strains vary by one chromosome (i.e., consomic), whereas the malignant tumor cells do not differ, any observed changes in tumor phenotypes are due to genetic modifiers in the TME and can be localized to one chromosome. The SSRS method uses probabilistic mapping of RNAseq reads to a joint human and rat transcriptome to assess differential expression (DE) in malignant (human) tumor cells and the nonmalignant (rat) TME. Validation of SSRS revealed >99.4% specificity in calling human or rat reads, which was significantly better than conventional RNA-seq. Using CXM, we found that BN-derived genetic variant(s) on rat chromosome 3 significantly reduced growth of MDA-MB-231-Luc (231Luc+) tumors by 49% (P<0.05) in the SS.BN3IL2Rγ CXM strain compared with parental SSIL2Rγ. This coincided with a 3.1-fold (P<0.001) decrease in blood vascular invasion by 231Luc+ tumor cells and 7.3-fold (P<0.05) lower metastatic burden in the lungs in SS.BN3IL2Rγ compared with SSIL2Rγ, despite a paradoxical 27% (P<0.05) increase in blood vessel density (BVD) in SS.BN3IL2Rγ rats. The tumor-associated blood vessels in SS.BN3IL2Rγ rats appeared collapsed and dysfunctional, possibly explaining the decreased tumor growth and metastasis, despite increased BVD. Lymphatic vasculature and lymphogenous metastasis were completely unaffected by the SS.BN3IL2Rγ background, suggesting that the causative variant(s) on BN rat chromosome 3 are vascular cell-type specific. We used SSRS to begin identifying the TME-specific mediators on rat chromosome 3 (RNO3) that inhibit growth and hematogenous metastasis of human 231Luc+ breast cancer xenografts implanted in the SS.BN3IL2Rγ. Compared with SSIL2Rγ tumors, we identified a network of 539 DE transcripts in the TME of SS.BN3IL2Rγ rats, of which 28% (150 genes) reside on RNO3, which was significantly higher (>4-fold; P<0.001) than any other rat chromosome. Moreover, a two-sample Kolmogorov-Smirnov test revealed that the difference in distributions of adjusted p-values for RN03 versus the rest of the genome was highly significantly higher for DE genes (P=3.152e-08) or DE transcripts (P=3.441e-16). Compared with other rat chromosomes, RNO3 also had by far the highest incidence of alternative isoform usage (91% of all instances). Pathway analysis of DE genes using DAVID revealed that the two most significant GO clusters were extracellular matrix (49 genes; P<10-20) and blood vessel development (43 genes; P<10-17), which recapitulated the vascular defects observed in the SS.BN3IL2Rγ tumors. Collectively, our data demonstrate that CXM and SSRS can be used to detect genetic modifiers in the TME.
Citation Format: Michael J. Flister, Alexander Stoddard, Shirng-Wern Tsaih, Angela Lemke, Jozef Lazar, Howard Jacob. New tools for mapping genetic modifiers of cancer risk in the tumor microenvironment. [abstract]. In: Proceedings of the AACR Special Conference on Translation of the Cancer Genome; Feb 7-9, 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 1):Abstract nr PR16.
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17
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Flister MJ, Stoddard A, Tsaih SW, Lemke A, Lazar J, Jacob H. Abstract PR08: New tools for mapping genetic modifiers of cancer risk in the tumor microenvironment. Cancer Res 2015. [DOI: 10.1158/1538-7445.compsysbio-pr08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The majority of heritable breast cancer risk is unknown. One potential source of “missing heritability” is genetic modifiers in the tumor microenvironment (TME). Although genetic modifiers in the TME have long been suspected, they have rarely been studied and are largely unknown. Here, we used two new techniques: the Consomic Xenograft Model (CXM) and species-specific RNA-seq (SSRS) to map genetic modifiers in the TME. In CXM, human breast cancer xenografts are implanted in immunodeficient consomic rat strains and tracked for tumor progression. Because the rat strains vary by one chromosome (i.e., consomic), whereas the malignant tumor cells do not differ, any observed changes in tumor phenotypes are due to genetic modifiers in the TME and can be localized to one chromosome. The SSRS method uses probabilistic mapping of RNAseq reads to a joint human and rat transcriptome to assess differential expression (DE) in malignant (human) tumor cells and the nonmalignant (rat) TME. Validation of SSRS revealed >99.4% specificity in calling human or rat reads, which was significantly better than conventional RNA-seq. Using CXM, we found that BN-derived genetic variant(s) on rat chromosome 3 significantly reduced growth of MDA-MB-231-Luc (231Luc+) tumors by 49% (P<0.05) in the SS.BN3IL2Rγ CXM strain compared with parental SSIL2Rγ. This coincided with a 3.1-fold (P<0.001) decrease in blood vascular invasion by 231Luc+ tumor cells and 7.3-fold (P<0.05) lower metastatic burden in the lungs in SS.BN3IL2Rγ compared with SSIL2Rγ, despite a paradoxical 27% (P<0.05) increase in blood vessel density (BVD) in SS.BN3IL2Rγ rats. The tumor-associated blood vessels in SS.BN3IL2Rγ rats appeared collapsed and dysfunctional, possibly explaining the decreased tumor growth and metastasis, despite increased BVD. Lymphatic vasculature and lymphogenous metastasis were completely unaffected by the SS.BN3IL2Rγ background, suggesting that the causative variant(s) on BN rat chromosome 3 are vascular cell-type specific. We used SSRS to begin identifying the TME-specific mediators on rat chromosome 3 (RNO3) that inhibit growth and hematogenous metastasis of human 231Luc+ breast cancer xenografts implanted in the SS.BN3IL2Rγ. Compared with SSIL2Rγ tumors, we identified a network of 539 DE transcripts in the TME of SS.BN3IL2Rγ rats, of which 28% (150 genes) reside on RNO3, which was significantly higher (>4-fold; P<0.001) than any other rat chromosome. Moreover, a two-sample Kolmogorov-Smirnov test revealed that the difference in distributions of adjusted p-values for RN03 versus the rest of the genome was highly significantly higher for DE genes (P=3.152e-08) or DE transcripts (P=3.441e-16). Compared with other rat chromosomes, RNO3 also had by far the highest incidence of alternative isoform usage (91% of all instances). Pathway analysis of DE genes using DAVID revealed that the two most significant GO clusters were extracellular matrix (49 genes; P<10-20) and blood vessel development (43 genes; P<10-17), which recapitulated the vascular defects observed in the SS.BN3IL2Rγ tumors. Collectively, our data demonstrate that CXM and SSRS can be used to detect genetic modifiers in the TME.
Citation Format: Michael J. Flister, Alexander Stoddard, Shirng-Wern Tsaih, Angela Lemke, Jozef Lazar, Howard Jacob. New tools for mapping genetic modifiers of cancer risk in the tumor microenvironment. [abstract]. In: Proceedings of the AACR Special Conference on Computational and Systems Biology of Cancer; Feb 8-11 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 2):Abstract nr PR08.
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Cowley AW, Yang C, Kumar V, Lazar J, Jacob H, Geurts AM, Liu P, Dayton A, Kurth T, Liang M. Pappa2 is linked to salt-sensitive hypertension in Dahl S rats. Physiol Genomics 2015; 48:62-72. [PMID: 26534937 DOI: 10.1152/physiolgenomics.00097.2015] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Accepted: 10/29/2015] [Indexed: 01/11/2023] Open
Abstract
A 1.37 Mbp region of chromosome 13 previously identified by exclusion mapping was consistently associated with a reduction of salt-induced hypertension in the Dahl salt-sensitive (SS) rat. This region contained five genes that were introgressed from the salt-insensitive Brown Norway (BN) rat. The goal of the present study was to further narrow that region to identify the gene(s) most likely to protect from salt-induced hypertension. The studies yielded a subcongenic SS rat strain containing a 0.71 Mbp insert from BN (26-P strain) in which salt-induced hypertension was reduced by 24 mmHg. The region contained two protein-coding genes (Astn1 and Pappa2) and a microRNA (miR-488). Pappa2 mRNA in the renal cortex of the protected 26-P was 6- to 10-fold greater than in SS fed a 0.4% NaCl diet but was reduced to levels observed in SS when fed 8.0% NaCl diet for 7 days. Compared with brain nuclei (NTS, RVLM, CVLM) and the adrenal gland, Pappa2 in the renal cortex was the only gene found to be differentially expressed between SS and 26-P and that responded to changes of salt diet. Immunohistochemistry studies found Pappa2 localized in the cytosol of the epithelial cells of the cortical thick ascending limbs. In more distal segments of the renal tubules, it was observed within tubular lumens and most notably bound to the apical membranes of the intercalated cells of collecting ducts. We conclude that we have identified a variant form of Pappa2 that can protect against salt-induced hypertension in the Dahl S rat.
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Affiliation(s)
- Allen W Cowley
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin;
| | - Chun Yang
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Vikash Kumar
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Jozef Lazar
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Howard Jacob
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin; Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Aron M Geurts
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin; Cardiovascular Center, Medical College of Wisconsin, Milwaukee, Wisconsin; and
| | - Pengyuan Liu
- Cancer Center, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Alex Dayton
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Theresa Kurth
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Mingyu Liang
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
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19
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Cowley AW, Yang C, Kumar V, Lazar J, Jacob H, Geurts AM, Liu P, Dayton A, Kurth T, Liang M. Abstract 044: Pappa2 is Linked to Salt-sensitive Hypertension in Dahl SS Rats. Hypertension 2015. [DOI: 10.1161/hyp.66.suppl_1.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The goal of the present study was to narrow a 1.37 Mbp region containing five genes on chromosome 13 (positions 80.92-82.29 Mbp in the Rn5 genome assembly) that we have previously found to influence the mean arterial pressure (MAP) by at least 25 mmHg in SS rats fed a high salt diet (8.0% NaCl for 14 days). The creation of 6 overlapping subcongenic strains that cover this region identified a 0.71 Mbp region (positions 81.01-81.72 Mbp) in which substitution of SS alleles with BN alleles reduced salt-induced hypertension in congenic SS rats by nearly 30 mmHg and significantly reduced urinary albumin excretion (UalbV) (see figure below; n=10-15/strain; * significant difference from SS; p<0.05). Analysis of the narrow candidate region revealed the presence of two protein-coding genes (
Pappa2
and
Astn1
) and a microRNA (
miR488
), none of which are known to be mechanistically involved in hypertension.
Pappa2
mRNA in these rat strains fed 0.4% NaCl diet was expressed at 6-10 fold higher levels in the renal cortex of the salt-resistant congenic strains with the BN allele (26-N, -O, and [[Unable to Display Character: –]]P) compared to strains with the SS allele (26-Q, -R, and [[Unable to Display Character: –]]S). A
Pappa2
coding sequence variant of unknown functional importance was identified. Immunohistochemistry and fluorescence
in situ
hybridization studies localized
Pappa2
to intercalated cells of the cortical and medullary collecting duct.
Astn1
and
miR-488
were not differentially expressed in renal tissue. Together, these findings point towards
Pappa2
as a candidate gene for salt-induced hypertension in SS rats.
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Affiliation(s)
| | - Chun Yang
- Med College of Wisconsin, Milwaukee, WI
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Flister M, Lemke A, Dwinell M, Bergom C, Shull J, Jacob H. Abstract 3217: NextGen strategies for mapping genetic modifiers in the tumor microenvironment. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-3217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The majority of heritable breast cancer risk is unknown. One potential source of “missing heritability” is genetic modifiers in the tumor microenvironment (TME). Although genetic modifiers in the TME have long been suspected, they have rarely been studied and are largely unknown. Here, we used two new techniques: the Consomic Xenograft Model (CXM) and species-specific RNA-seq (SSRS) to map genetic modifiers in the TME. In CXM, human breast cancer xenografts are implanted in immunodeficient consomic rat strains and tracked for tumor progression. Because the rat strains vary by one chromosome (i.e., consomic), whereas the malignant tumor cells do not differ, any observed changes in tumor phenotypes are due to genetic modifiers in the TME and can be localized to one chromosome. The SSRS method uses probabilistic mapping of RNAseq reads to a joint human and rat transcriptome to assess differential expression (DE) in malignant (human) tumor cells and the nonmalignant (rat) TME. Validation of SSRS revealed >99.4% specificity in calling human or rat reads, which was significantly better than conventional RNA-seq. Using CXM, we found that BN-derived genetic variant(s) on rat chromosome 3 significantly reduced growth of MDA-MB-231-Luc (231Luc+) tumors by 49% (P<0.05) in the SS.BN3IL2Rγ CXM strain compared with parental SSIL2Rγ. This coincided with a 3.1-fold (P<0.001) decrease in blood vascular invasion by 231Luc+ tumor cells and 7.3-fold (P<0.05) lower metastatic burden in the lungs in SS.BN3IL2Rγ compared with SSIL2Rγ, despite a paradoxical 27% (P<0.05) increase in blood vessel density (BVD) in SS.BN3IL2Rγ rats. The tumor-associated blood vessels in SS.BN3IL2Rγ rats appeared collapsed and dysfunctional, possibly explaining the decreased tumor growth and metastasis, despite increased BVD. We used SSRS to begin identifying the TME-specific mediators on rat chromosome 3 (RNO3) that inhibit growth and hematogenous metastasis of human 231Luc+ breast cancer xenografts implanted in the SS.BN3IL2Rγ. Compared with SSIL2Rγ tumors, we identified a network of 539 DE transcripts in the TME of SS.BN3IL2Rγ rats, of which 28% (150 genes) reside on RNO3, which was significantly higher (>4-fold; P<0.001) than any other rat chromosome. Moreover, a two-sample Kolmogorov-Smirnov test revealed that the difference in distributions of adjusted p-values for RN03 versus the rest of the genome was highly significantly higher for DE genes (P = 3.152e-08) or DE transcripts (P = 3.441e-16). Compared with other rat chromosomes, RNO3 also had by far the highest incidence of alternative isoform usage (91% of all instances). Pathway analysis of DE genes using DAVID revealed that the two most significant GO clusters were extracellular matrix (49 genes; P<10−20) and blood vessel development (43 genes; P<10−17), which recapitulated the vascular defects observed in the SS.BN3IL2Rγ tumors. Collectively, our data demonstrate that CXM and SSRS can be used to detect genetic modifiers in the TME.
Citation Format: Michael Flister, Angela Lemke, Michael Dwinell, Carmen Bergom, James Shull, Howard Jacob. NextGen strategies for mapping genetic modifiers in the tumor microenvironment. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3217. doi:10.1158/1538-7445.AM2015-3217
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Dwinell M, Nigam R, Smith J, De Pons J, Laulederkind S, Petri V, Hayman G, Wang S, Worthey L, Shimoyama M, Jacob H. Genomic and Phenotypic Rat Strain Profiles for Disease Model Identification. FASEB J 2015. [DOI: 10.1096/fasebj.29.1_supplement.814.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Melinda Dwinell
- PhysiologyMedical College of WisconsinMilwaukeeWIUnited States
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
| | - Rajni Nigam
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
| | - Jennifer Smith
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
| | - Jeff De Pons
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
| | - Stan Laulederkind
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
| | - Victoria Petri
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
| | - G. Hayman
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
| | - Shur‐Jen Wang
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
| | - Liz Worthey
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
| | - Mary Shimoyama
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
- SurgeryMedical College of WisconsinMilwaukeeWIUnited States
| | - Howard Jacob
- PhysiologyMedical College of WisconsinMilwaukeeWIUnited States
- Human & Molecular Genetics Medical College of WisconsinMilwaukeeWIUnited States
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Schuler B, Tsaih S, Worthey E, Kirby A, Stevens C, Daly M, Jacob H. Identification and Investigation of Mucin 1‐Mediated Kidney Disease. FASEB J 2015. [DOI: 10.1096/fasebj.29.1_supplement.663.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Bryce Schuler
- Human and Molecular Genetics Center Medical College of WisconsinMilwaukeeWIUnited States
| | - Shring‐Wern Tsaih
- Human and Molecular Genetics Center Medical College of WisconsinMilwaukeeWIUnited States
| | - Elizabeth Worthey
- Human and Molecular Genetics Center Medical College of WisconsinMilwaukeeWIUnited States
| | - Andrew Kirby
- Broad Institute Harvard and MITCambridgeMAUnited States
| | | | - Mark Daly
- Broad Institute Harvard and MITCambridgeMAUnited States
| | - Howard Jacob
- Human and Molecular Genetics Center Medical College of WisconsinMilwaukeeWIUnited States
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23
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Prokop J, Lazar J, Underwood A, Jacob H. Gene Duplication and Sequence Variants of the
Rattus norvegicus
Y‐Chromosome can Alter Kidney Function. FASEB J 2015. [DOI: 10.1096/fasebj.29.1_supplement.665.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Jeremy Prokop
- Human and Molecular Genetics Center Medical College of WisconsinUnited States
| | - Jozef Lazar
- Human and Molecular Genetics Center Medical College of WisconsinUnited States
| | | | - Howard Jacob
- Human and Molecular Genetics Center Medical College of WisconsinUnited States
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Fan F, Geurts AM, Pabbidi MR, Smith SV, Harder DR, Jacob H, Roman RJ. Zinc-finger nuclease knockout of dual-specificity protein phosphatase-5 enhances the myogenic response and autoregulation of cerebral blood flow in FHH.1BN rats. PLoS One 2014; 9:e112878. [PMID: 25397684 PMCID: PMC4232417 DOI: 10.1371/journal.pone.0112878] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Accepted: 10/18/2014] [Indexed: 12/11/2022] Open
Abstract
We recently reported that the myogenic responses of the renal afferent arteriole (Af-Art) and middle cerebral artery (MCA) and autoregulation of renal and cerebral blood flow (RBF and CBF) were impaired in Fawn Hooded hypertensive (FHH) rats and were restored in a FHH.1BN congenic strain in which a small segment of chromosome 1 from the Brown Norway (BN) containing 15 genes including dual-specificity protein phosphatase-5 (Dusp5) were transferred into the FHH genetic background. We identified 4 single nucleotide polymorphisms in the Dusp5 gene in FHH as compared with BN rats, two of which altered CpG sites and another that caused a G155R mutation. To determine whether Dusp5 contributes to the impaired myogenic response in FHH rats, we created a Dusp5 knockout (KO) rat in the FHH.1BN genetic background using a zinc-finger nuclease that introduced an 11 bp frame-shift deletion and a premature stop codon at AA121. The expression of Dusp5 was decreased and the levels of its substrates, phosphorylated ERK1/2 (p-ERK1/2), were enhanced in the KO rats. The diameter of the MCA decreased to a greater extent in Dusp5 KO rats than in FHH.1BN and FHH rats when the perfusion pressure was increased from 40 to 140 mmHg. CBF increased markedly in FHH rats when MAP was increased from 100 to 160 mmHg, and CBF was better autoregulated in the Dusp5 KO and FHH.1BN rats. The expression of Dusp5 was higher at the mRNA level but not at the protein level and the levels of p-ERK1/2 and p-PKC were lower in cerebral microvessels and brain tissue isolated from FHH than in FHH.1BN rats. These results indicate that Dusp5 modulates myogenic reactivity in the cerebral circulation and support the view that a mutation in Dusp5 may enhance Dusp5 activity and contribute to the impaired myogenic response in FHH rats.
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Affiliation(s)
- Fan Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Aron M. Geurts
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America
| | - Mallikarjuna R. Pabbidi
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Stanley V. Smith
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - David R. Harder
- Department of Physiology and Cardiovascular Research Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America
| | - Howard Jacob
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America
| | - Richard J. Roman
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
- * E-mail:
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Shimoyama M, De Pons J, Hayman GT, Laulederkind SJF, Liu W, Nigam R, Petri V, Smith JR, Tutaj M, Wang SJ, Worthey E, Dwinell M, Jacob H. The Rat Genome Database 2015: genomic, phenotypic and environmental variations and disease. Nucleic Acids Res 2014; 43:D743-50. [PMID: 25355511 PMCID: PMC4383884 DOI: 10.1093/nar/gku1026] [Citation(s) in RCA: 178] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
The Rat Genome Database (RGD, http://rgd.mcw.edu) provides the most comprehensive data repository and informatics platform related to the laboratory rat, one of the most important model organisms for disease studies. RGD maintains and updates datasets for genomic elements such as genes, transcripts and increasingly in recent years, sequence variations, as well as map positions for multiple assemblies and sequence information. Functional annotations for genomic elements are curated from published literature, submitted by researchers and integrated from other public resources. Complementing the genomic data catalogs are those associated with phenotypes and disease, including strains, QTL and experimental phenotype measurements across hundreds of strains. Data are submitted by researchers, acquired through bulk data pipelines or curated from published literature. Innovative software tools provide users with an integrated platform to query, mine, display and analyze valuable genomic and phenomic datasets for discovery and enhancement of their own research. This update highlights recent developments that reflect an increasing focus on: (i) genomic variation, (ii) phenotypes and diseases, (iii) data related to the environment and experimental conditions and (iv) datasets and software tools that allow the user to explore and analyze the interactions among these and their impact on disease.
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Affiliation(s)
- Mary Shimoyama
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA Department of Surgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Jeff De Pons
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - G Thomas Hayman
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | | | - Weisong Liu
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Rajni Nigam
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Victoria Petri
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Jennifer R Smith
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Marek Tutaj
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Shur-Jen Wang
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Elizabeth Worthey
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Melinda Dwinell
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Howard Jacob
- Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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Fan F, Pabbidi MR, Geurts AM, Jacob H, Roman RJ. Abstract 222: Upregulation Of Cyp4a1 Gene Expression Restores The Impaired Myogenic Response And Autoregulation Of Cerebral Blood Flow In Dahl Salt Sensitive Rats. Hypertension 2014. [DOI: 10.1161/hyp.64.suppl_1.222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We have reported that a reduction in the expression of CYP4A and the production of 20-HETE in the renal outer medulla contributes to development of hypertension in Dahl salt sensitive (SS) rats. The present study examined whether 20-HETE production is also reduced in the vasculature and if a deficiency in the formation of 20-HETE in the vasculature alters vascular tone and promotes end organ damage. The production of 20-HETE, the myogenic response of middle cerebral arteries (MCA) and autoregulation of cerebral blow flow (CBF) was compared in SS, CYP4A1 transgenic SS rats and SS.5BN consomic rats in which chromosome 5 from Brown Norway (BN) was transferred into the SS genetic background. 20-HETE production was 6-fold higher in cerebral arteries obtained from CYP4A1 transgenic (n=25) and SS.5BN (n=4)rats than in SS (n=17) rats 0.77 ± 0.08 versus 0.12 ± 0.03 pmol/mg/min). The luminal diameter of MCA decreased to 70 ± 3 % in CYP4A1 transgenic rats and to 65 ± 6 in SS.5BN when perfusion pressure was increased from 40 to 140 mmHg, whereas it remained unaltered in SS rats. Administration of the inhibitor of the synthesis of 20-HETE, HET0016 (10 uM), abolished the myogenic response in MCA of CYP4A1 transgenic and SS.5BN rats but had no effect in SS rats. CBF was poorly autoregulated and increased by 49 ± 6% in SS rats as MAP was increased by 60% from 100 to 160 mmHg. In contrast, CBF was only increased by 26 ± 5% and in SS.5BN rats and by 19 ± 2% in CYP4A1 transgenic rats when MAP was increased in the same range. These results indicate that a genetic deficiency of 20-HETE contributes to an impaired myogenic response in autoregulation of CBF in SS rats which may contribute to vascular remodeling, stroke and dementia following the onset of hypertension.
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Affiliation(s)
- Fan Fan
- Univ of Mississippi Med Cntr, Jackson, MS
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Fan F, Geurts AM, Pabbidi MR, Harder DR, Jacob H, Roman RJ. Abstract 223: Zinc-finger Nuclease Knockout Of Dual-specificity Protein Phosphatase-5 Enhances Myogenic Response In Autoregulation Of Cerebral Blood Flow In Fhh.1bn Rats. Hypertension 2014. [DOI: 10.1161/hyp.64.suppl_1.223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We recently reported that the pressure-induced myogenic responses of afferent arteries (Af-Art) and middle cerebral arteries (MCAs) were impaired in the fawn hooded hypertensive (FHH) rats and were restored in FHH.1BN congenic strain in which chromosome 1 from the Brown Norway (BN) rats containing 11 genes including dual-specificity protein phosphatase-5 (Dusp5) was transferred into FHH genetic background. There are 4 single nucleotide polymorphisms (SNP) in Dusp5 in FHH as compared with BN rats, one of which causes G155R mutation. To determine whether Dusp5 contributes to the impaired vascular myogenic response in FHH rats, we created a Dusp5 knockout (KO) rats in the FHH.1BN genetic background using zinc-finger nuclease (ZFN) that introduced a premature stop codon at amino acid (AA) 121. The expression of Dusp5 in KO rats were significantly decreased and the level of phosphorylated ERK2 (p-ERK2) was significantly increased in multiple organs including liver, spleen and white blood cells (WBCs). The luminal diameter of the MCAs in FHH.1BN rats (n=12) decreased 20 ± 2 % when the perfusion pressure was increased from 40 to 140 mmHg, whereas it decreased 34 ± 7 % in Dusp5 KO rats (n=6) and increased 10 ± 4% in FHH strain (n=8). Autoregulation was markedly impaired and CBF increased by 54 ± 6% in FHH rats when MAP was increased from 100 to 160 mmHg. CBF was better autoregulated in FHH.1BN strain and Dusp5 KO rats increased by only 26 ± 3% and 12 ± 3% when MAP was increased over the same range. However, the range of autoregulation of CBF was extended in the FHH rats (n=7) in that CBF rose to 107 ± 6% in FHH.1BN rats (n=7) when pressure was increased to 190 mmHg versus 33 ± 4% in the Dusp5 KO animals (n=6). These results suggest that Dusp5 plays an important role in modulating of myogenic tone in the cerebral circulation. Unless the G155R mutation activates Dusp5 in FHH rats, it is unlikely that Dusp5 is responsible for the impaired myogenic response in FHH rats.
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Affiliation(s)
- Fan Fan
- Univ of Mississippi Med Cntr, Jackson, MS
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Muroya Y, Fan F, Jacob H, Geurts A, Roman R. Abstract 298: Protective Role of Endogenous 20-HETE in Renal Ischemia-Reperfusion Injury. Hypertension 2014. [DOI: 10.1161/hyp.64.suppl_1.298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The present study compared renal ischemia-reperfusion (IR) injury in Dahl salt-sensitive (SS) rats that have a deficiency in the renal formation of 20-HETE versus CYP4A1 transgenic SS (SS.4A1) rats in which the renal production of 20-HETE is restored. The concentrations of free 20-HETE in the renal cortex and outer medulla were significantly greater in SS.4A1 than in SS rats. Renal 20-HETE levels rose to a greater extent in SS.4A1 than in SS rats following renal IR. Plasma creatinine level rose to 3.7 ± 0.1 in SS versus 1.8 ± 0.3 mg/dl in SS.4A1 rats (respectively, n=6) following 30 min of ischemia and 24 h reperfusion. The % of necrotic tubules and apoptotic cells were 4-fold higher in SS than in SS.4A1 rats. Administration of the 20-HETE synthesis inhibitor (HET0016, 10 mg/kg) abolished the resistance of SS.4A1 rats to renal IR injury and plasma creatinine level rose to 3.8 ± 0.1 mg/dl (n=6). Cortical blood flow in SS, SS.4A1 and HET0016 treated SS.4A1 rats immediately returned to control following IR. However, medullary blood flow in SS and HET0016 treated SS.4A1 rats fell to 30 % of control 3 h after IR (n=5), and it remained depressed for 24 h. In contrast, medullary blood flow did not decline following IR in SS.4A1 rats. Proximal intratubular pressure rose from 13 to approximately 40 mmHg, 2 h after IR in both SS and SS.4A1 rats. Proximal intratubular pressure remained much higher in SS than in SS.4A1 rats 24 h after IR (32 vs 19 mmHg). These data indicate that normalization of renal CYP4A activity and 20-HETE production opposes renal IR injury by preventing secondary fall in medullary blood flow and the prolonged renal medullary ischemia.
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Affiliation(s)
| | - Fan Fan
- Univ of Mississippi Med Cntr, Jackson, MS
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29
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Du M, Yuan T, Schilter KF, Dittmar RL, Mackinnon A, Huang X, Tschannen M, Worthey E, Jacob H, Xia S, Gao J, Tillmans L, Lu Y, Liu P, Thibodeau SN, Wang L. Prostate cancer risk locus at 8q24 as a regulatory hub by physical interactions with multiple genomic loci across the genome. Hum Mol Genet 2014; 24:154-66. [PMID: 25149474 DOI: 10.1093/hmg/ddu426] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Chromosome 8q24 locus contains regulatory variants that modulate genetic risk to various cancers including prostate cancer (PC). However, the biological mechanism underlying this regulation is not well understood. Here, we developed a chromosome conformation capture (3C)-based multi-target sequencing technology and systematically examined three PC risk regions at the 8q24 locus and their potential regulatory targets across human genome in six cell lines. We observed frequent physical contacts of this risk locus with multiple genomic regions, in particular, inter-chromosomal interaction with CD96 at 3q13 and intra-chromosomal interaction with MYC at 8q24. We identified at least five interaction hot spots within the predicted functional regulatory elements at the 8q24 risk locus. We also found intra-chromosomal interaction genes PVT1, FAM84B and GSDMC and inter-chromosomal interaction gene CXorf36 in most of the six cell lines. Other gene regions appeared to be cell line-specific, such as RRP12 in LNCaP, USP14 in DU-145 and SMIN3 in lymphoblastoid cell line. We further found that the 8q24 functional domains more likely interacted with genomic regions containing genes enriched in critical pathways such as Wnt signaling and promoter motifs such as E2F1 and TCF3. This result suggests that the risk locus may function as a regulatory hub by physical interactions with multiple genes important for prostate carcinogenesis. Further understanding genetic effect and biological mechanism of these chromatin interactions will shed light on the newly discovered regulatory role of the risk locus in PC etiology and progression.
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Affiliation(s)
- Meijun Du
- Department of Pathology and Cancer Center
| | | | | | | | | | | | | | | | | | - Shu Xia
- Department of Pathology and Cancer Center Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jianzhong Gao
- Beijing 3H Medical Technology Co. Ltd., Beijing 100176, China and
| | - Lori Tillmans
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Yan Lu
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Pengyuan Liu
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Stephen N Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Liang Wang
- Department of Pathology and Cancer Center
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Jacob H, Dahl O, Myklebust M. 501: The prognostic value of β-catenin in anal cancer. Eur J Cancer 2014. [DOI: 10.1016/s0959-8049(14)50446-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Flister MJ, Hoffman M, Lemke A, Prisco S, Rudemiller N, O'Meara C, Moreno C, Geurts A, Lazar J, Adhikari N, Hall J, Jacob H. Abstract 41: SH2B3 Is a Genetic Determinant of Cardiac Inflammation and Fibrosis. Arterioscler Thromb Vasc Biol 2014. [DOI: 10.1161/atvb.34.suppl_1.41] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Genome wide association studies (GWAS) are powerful tools for nominating pathogenic variants, but offer little insight as to how candidate genes impact disease outcome. Such is the case for SH2B adaptor protein 3 (SH2B3), which is associated with coronary artery disease (CAD), atherosclerosis, and risk of myocardial infarction (MI), but its role in post-MI response is completely unknown.
Methods:
Using an experimental model of MI (left anterior descending artery [LAD] occlusion) in wild-type (WT) and Sh2b3 knockout (KO) rats, we assessed the role of Sh2b3 in post-MI fibrosis, leukocyte infiltration, angiogenesis, left ventricle (LV) contractility, and inflammatory gene expression. We also confirmed our findings in LV samples from end-stage heart failure patients with or without the MI-associated SH2B3 risk allele.
Results:
Compared with WT, Sh2b3 KO rats had significantly increased fibrosis (2.2-fold; P2-fold; P<0.001), which coincided with decreased LV fractional shortening (FS) (-Δ11%; P<0.05) at 7 days post-LAD occlusion. Despite an increased angiogenic potential in Sh2b3 KO rats (1.7-fold; P<0.05), we observed no significant differences in LV capillary density between WT and Sh2b3 KO rats. Of the 903 genes examined, 19 were significantly elevated in the post-LAD occluded hearts of Sh2b3 KO rats relative to WT, of which three (NLRP12, CCR2, and IFNγ) were also significantly elevated in the LV of heart failure (HF) patients carrying the MI-associated rs3184504 [T] SH2B3 risk allele.
Conclusions:
These data suggest for the first time that SH2B3 is a master risk factor for MI by impacting both MI incidence and post-MI response.
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Affiliation(s)
| | | | - Angela Lemke
- Physiology, Med College of Wisconsin, Milwuakee, WI
| | - Sasha Prisco
- Physiology, Med College of Wisconsin, Milwuakee, WI
| | | | | | - Carol Moreno
- Physiology, Med College of Wisconsin, Milwuakee, WI
| | - Aron Geurts
- Physiology, Med College of Wisconsin, Milwuakee, WI
| | - Jozef Lazar
- Physiology, Med College of Wisconsin, Milwuakee, WI
| | | | | | - Howard Jacob
- Physiology, Med College of Wisconsin, Milwuakee, WI
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32
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Lazar J, Dwinell M, Geurts A, Mattson D, Jacob H. Research community driven development to genetically modify rat models for heart, lung, blood and sleep disorders (1121.3). FASEB J 2014. [DOI: 10.1096/fasebj.28.1_supplement.1121.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Jozef Lazar
- Medical College of WisconsinMIlwaukeeWIUnited States
| | | | - Aron Geurts
- Medical College of WisconsinMIlwaukeeWIUnited States
| | - David Mattson
- Medical College of WisconsinMIlwaukeeWIUnited States
| | - Howard Jacob
- Medical College of WisconsinMIlwaukeeWIUnited States
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33
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Palygin O, Levchenko V, Lowing A, Ilatovskaya D, Pavlov T, Geurts A, Jacob H, Staruschenko A. Renal phenotype of inwardly rectifying potassium channel Kcnj16 (Kir 5.1) knockout in the Dahl salt‐sensitive rats (893.16). FASEB J 2014. [DOI: 10.1096/fasebj.28.1_supplement.893.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Oleg Palygin
- Department of Physiology Medical College of WisconsinMIlwaukeeWIUnited States
| | - Vladislav Levchenko
- Department of Physiology Medical College of WisconsinMIlwaukeeWIUnited States
| | - Andrea Lowing
- Department of Physiology Medical College of WisconsinMIlwaukeeWIUnited States
| | - Daria Ilatovskaya
- Department of Physiology Medical College of WisconsinMIlwaukeeWIUnited States
| | - Tengis Pavlov
- Department of Physiology Medical College of WisconsinMIlwaukeeWIUnited States
| | - Aron Geurts
- Department of Physiology Medical College of WisconsinMIlwaukeeWIUnited States
- Human and Molecular Genetics Centers Medical College of WisconsinMIlwaukeeWIUnited States
| | - Howard Jacob
- Department of Physiology Medical College of WisconsinMIlwaukeeWIUnited States
- Human and Molecular Genetics Centers Medical College of WisconsinMIlwaukeeWIUnited States
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34
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Flister M, Endres B, Hoffman M, Jacob H, Sweeney W, Avner E, Moreno C. Identifying genetic modifiers of autosomal recessive polycystic kidney disease (1179.1). FASEB J 2014. [DOI: 10.1096/fasebj.28.1_supplement.1179.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Michael Flister
- Physiology Medical College of WisconsinMIlwaukeeWIUnited States
| | - Bradley Endres
- Physiology Medical College of WisconsinMIlwaukeeWIUnited States
| | - Matthew Hoffman
- Physiology Medical College of WisconsinMIlwaukeeWIUnited States
| | - Howard Jacob
- Physiology Medical College of WisconsinMIlwaukeeWIUnited States
| | - William Sweeney
- Pediatrics Medical College of WisconsinMIlwaukeeWIUnited States
| | - Ellis Avner
- Pediatrics Medical College of WisconsinMIlwaukeeWIUnited States
| | - Carol Moreno
- Physiology Medical College of WisconsinMIlwaukeeWIUnited States
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35
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McPherson K, White T, Johnson A, Geurts A, Jacob H, Garrett M, Williams J. Initial characterization of leptin receptor knockout Dahl salt‐sensitive rats (1121.2). FASEB J 2014. [DOI: 10.1096/fasebj.28.1_supplement.1121.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Kasi McPherson
- Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJACKSONMSUnited States
| | - Tiffani White
- Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJACKSONMSUnited States
| | - Ashley Johnson
- Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJACKSONMSUnited States
| | - Aron Geurts
- Human and Molecular Genetics Center Medical College of WisconsinMIlwaukeeWIUnited States
| | - Howard Jacob
- Human and Molecular Genetics Center Medical College of WisconsinMIlwaukeeWIUnited States
| | - Michael Garrett
- Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJACKSONMSUnited States
| | - Jan Williams
- Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJACKSONMSUnited States
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36
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Kaczorowski C, Stodola T, Hoffmann B, Prisco A, Lui P, Didier D, Karcher J, Liang M, Jacob H, Greene A. Abstract 48: Targeting the Endothelial Progenitor Cell Surface Proteome to Identify Novel Mechanisms that Mediate Angiogenic Efficacy and Restore Angiogenesis in a Rodent Model of Vascular Disease. Hypertension 2013. [DOI: 10.1161/hyp.62.suppl_1.a48] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Bone-marrow derived endothelial progenitor cells (EPCs) promote angiogenesis, and clinical trials suggest autologous EPC-based therapy may be effective in treatment of vascular diseases. Albeit promising, variability in the efficacy of EPCs associated with underlying disease states has hindered the realization of EPC-based therapy. Here we identify and characterize EPC dysfunction in a rodent model of vascular disease (SS/Mcwi rat) that exhibits impaired angiogenesis under physiological conditions, and develops cardiovascular disease on a high salt diet. First, we compared the angiogenic responses to EPCs delivered into the skeletal muscle of SS/Mcwi recipient prior to electrical stimulation. Delivery of EPCs from SS/Mcwi donors had no effect on angiogenesis compared to stimulation alone (9.2± 2.2% vs. 7.6 ± 1.7%, respectively). In contrast, introgression of chromosome 13 from a Brown Norway rat onto the SS/Mcwi background (SS-13
BN
/Mcwi rat) significantly enhanced the angiogenic function of EPCs (22.3 ± 3.7%) and suggests involvement of genes on chromosome 13. To identify molecular candidates that mediate the angiogenic potential of these cells, we performed a cell surface proteomic analysis. Analysis revealed that EPCs derived from SS/Mcwi rats express significantly more type 2 low-affinity immunoglobulin Fc-gamma (FCGR2, 25% increase) and Natural Killer 2B4 (CD244, 67% increase) receptors than EPCs from the SS-13
BN
/Mcwi rat. Genome-wide mRNA sequencing (RNAseq) revealed differential expression of multiple isoforms encoding FCGR2a and CD244 proteins, and qt-PCR confirmed an increase in CD244 and FCGR2a transcripts in SS/Mcwi EPCs. Increased expression of FCGR2a and CD244 receptors are predicted to increase the probability of SS/Mcwi EPCs being targeted for death, providing a mechanistic explanation for their reduced angiogenic efficacy
in vivo
. Pathway analysis supported this contention, as ‘key’ molecules annotated to cell death paths were differentially expressed in the SS/Mcwi EPC transcriptome. We speculate that screening and neutralization of cell surface proteins that tag ‘diseased’ EPCs for death will enhance regenerative potential of EPC-based therapies, providing a major advance in the field of regenerative medicine.
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Fan F, Ge Y, Murphy S, Geurts AM, Jacob H, Roman RJ. Abstract 39: Cyp4a1 Transgenic Rats Generated Using Sleeping Beauty Transposon System Restores the Impaired Myogenic Responses in the Afferent Arteriole of Dahl S Rats. Hypertension 2013. [DOI: 10.1161/hyp.62.suppl_1.a39] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We have reported that the production of 20-HETE is reduced in the renal vasculature of Dahl S rats and that myogenic and TGF responses of afferent arteries (Af-Art) are impaired in Dahl S rats. In this study we generated CYP4A1 transgenic rats in the Dahl S inbred strain background utilizing the enhanced
Sleeping Beauty
(SB100X) transposon system to determine if upregulation of 20-HETE production can restore vascular reactivity and oppose the development of renal injury. Fertilized eggs collected from female Dahl S rats were microinjected with a transposon vector harboring the rat CYP4A1 cDNA under the control of the ubiquitous CAG promoter along with SB100X transposase mRNA to produce transgenic founders. Heterozygous founders were backcrossed to Dahl S rats, transgene insertion sites were identified by Ligation Mediated PCR and sequencing, and the progeny were brother-sister mated to derive homozygous transgenic lines. The expression of CYP4A protein was significantly elevated and the production of 20-HETE was 3-fold higher in the renal outer medullary tissue of CYP4A1 transgenic (n=17) compared to Dahl S rats (n=17). 20-HETE production was 10-fold higher in renal microvessels of CYP4A1 transgenic animals than Dahl S rats. (0.2±0.3, n=22 versus 1.9±0.1 pmol/mg/min, n=14). The luminal diameter of the Af-Art decreased significantly from 15.9 ± 0.6 to 14.1 ± 0.5 μm in CYP4A1 transgenic rats (n=5) when the perfusion pressure was increased from 60 to 120 mmHg, whereas it remained unaltered in Dahl S rats (from 19.4 ± 2.3 to 20.6 ± 5.6 μm, n=22). These studies further support the view that a deficiency in the formation of 20-HETE in the renal microcirculation contributes to the marked susceptibility of Dahl S rats to develop of hypertension and diabetic induced renal injury, and the new CYP4A1 transposon transgenic rat model may be useful for determining the mechanisms involved.
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Affiliation(s)
- Fan Fan
- Univ of Mississippi Med Cntr, Jackson, MS
| | - Ying Ge
- Univ of Mississippi Med Cntr, Jackson, MS
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Atanur SS, Diaz AG, Maratou K, Sarkis A, Rotival M, Game L, Tschannen MR, Kaisaki PJ, Otto GW, Ma MCJ, Keane TM, Hummel O, Saar K, Chen W, Guryev V, Gopalakrishnan K, Garrett MR, Joe B, Citterio L, Bianchi G, McBride M, Dominiczak A, Adams DJ, Serikawa T, Flicek P, Cuppen E, Hubner N, Petretto E, Gauguier D, Kwitek A, Jacob H, Aitman TJ. Genome sequencing reveals loci under artificial selection that underlie disease phenotypes in the laboratory rat. Cell 2013; 154:691-703. [PMID: 23890820 PMCID: PMC3732391 DOI: 10.1016/j.cell.2013.06.040] [Citation(s) in RCA: 115] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2013] [Revised: 04/30/2013] [Accepted: 06/21/2013] [Indexed: 12/24/2022]
Abstract
Large numbers of inbred laboratory rat strains have been developed for a range of complex disease phenotypes. To gain insights into the evolutionary pressures underlying selection for these phenotypes, we sequenced the genomes of 27 rat strains, including 11 models of hypertension, diabetes, and insulin resistance, along with their respective control strains. Altogether, we identified more than 13 million single-nucleotide variants, indels, and structural variants across these rat strains. Analysis of strain-specific selective sweeps and gene clusters implicated genes and pathways involved in cation transport, angiotensin production, and regulators of oxidative stress in the development of cardiovascular disease phenotypes in rats. Many of the rat loci that we identified overlap with previously mapped loci for related traits in humans, indicating the presence of shared pathways underlying these phenotypes in rats and humans. These data represent a step change in resources available for evolutionary analysis of complex traits in disease models. PaperClip
Genomes of 27 rat strains were sequenced; >13 million sequence variants identified Selective sweeps and coevolved gene clusters were detected in 11 disease models Previously identified and new disease genes and pathways were identified This is first evolutionary analysis of artificial selection for disease phenotypes
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Affiliation(s)
- Santosh S Atanur
- Physiological Genomic and Medicine Group, MRC Clinical Sciences Centre, Imperial College London, London W12 0NN, UK
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39
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Huang X, Yuan T, Tschannen M, Sun Z, Jacob H, Du M, Liang M, Dittmar RL, Liu Y, Liang M, Kohli M, Thibodeau SN, Boardman L, Wang L. Characterization of human plasma-derived exosomal RNAs by deep sequencing. BMC Genomics 2013; 14:319. [PMID: 23663360 PMCID: PMC3653748 DOI: 10.1186/1471-2164-14-319] [Citation(s) in RCA: 741] [Impact Index Per Article: 67.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2013] [Accepted: 05/02/2013] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Exosomes, endosome-derived membrane microvesicles, contain specific RNA transcripts that are thought to be involved in cell-cell communication. These RNA transcripts have great potential as disease biomarkers. To characterize exosomal RNA profiles systemically, we performed RNA sequencing analysis using three human plasma samples and evaluated the efficacies of small RNA library preparation protocols from three manufacturers. In all we evaluated 14 libraries (7 replicates). RESULTS From the 14 size-selected sequencing libraries, we obtained a total of 101.8 million raw single-end reads, an average of about 7.27 million reads per library. Sequence analysis showed that there was a diverse collection of the exosomal RNA species among which microRNAs (miRNAs) were the most abundant, making up over 42.32% of all raw reads and 76.20% of all mappable reads. At the current read depth, 593 miRNAs were detectable. The five most common miRNAs (miR-99a-5p, miR-128, miR-124-3p, miR-22-3p, and miR-99b-5p) collectively accounted for 48.99% of all mappable miRNA sequences. MiRNA target gene enrichment analysis suggested that the highly abundant miRNAs may play an important role in biological functions such as protein phosphorylation, RNA splicing, chromosomal abnormality, and angiogenesis. From the unknown RNA sequences, we predicted 185 potential miRNA candidates. Furthermore, we detected significant fractions of other RNA species including ribosomal RNA (9.16% of all mappable counts), long non-coding RNA (3.36%), piwi-interacting RNA (1.31%), transfer RNA (1.24%), small nuclear RNA (0.18%), and small nucleolar RNA (0.01%); fragments of coding sequence (1.36%), 5' untranslated region (0.21%), and 3' untranslated region (0.54%) were also present. In addition to the RNA composition of the libraries, we found that the three tested commercial kits generated a sufficient number of DNA fragments for sequencing but each had significant bias toward capturing specific RNAs. CONCLUSIONS This study demonstrated that a wide variety of RNA species are embedded in the circulating vesicles. To our knowledge, this is the first report that applied deep sequencing to discover and characterize profiles of plasma-derived exosomal RNAs. Further characterization of these extracellular RNAs in diverse human populations will provide reference profiles and open new doors for the development of blood-based biomarkers for human diseases.
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Affiliation(s)
- Xiaoyi Huang
- Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | - Tiezheng Yuan
- Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | - Michael Tschannen
- Human Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | - Zhifu Sun
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, 55905, USA
| | - Howard Jacob
- Human Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | - Meijun Du
- Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | - Meihua Liang
- Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China
| | - Rachel L Dittmar
- Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | - Yong Liu
- Department of Physiology, Medical College of Wisconsi, Milwaukee, WI, 53226, USA
| | - Mingyu Liang
- Department of Physiology, Medical College of Wisconsi, Milwaukee, WI, 53226, USA
| | - Manish Kohli
- Department of Oncology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Stephen N Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Lisa Boardman
- Department of Oncology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Liang Wang
- Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
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Rudemiller N, Lund H, Guo C, Geurts A, Jacob H, Mattson DL. Mutation of Sh2b3 attenuates Dahl SS hypertension via inflammatory signaling. FASEB J 2013. [DOI: 10.1096/fasebj.27.1_supplement.1114.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Hayley Lund
- PhysiologyMedical College of WisconsinMilwaukeeWI
| | | | - Aaron Geurts
- PhysiologyMedical College of WisconsinMilwaukeeWI
| | - Howard Jacob
- PhysiologyMedical College of WisconsinMilwaukeeWI
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Mattson DL, Lund H, Guo C, Rudemiller N, Geurts AM, Jacob H. Genetic mutation of recombination activating gene 1 in Dahl salt-sensitive rats attenuates hypertension and renal damage. Am J Physiol Regul Integr Comp Physiol 2013; 304:R407-14. [PMID: 23364523 DOI: 10.1152/ajpregu.00304.2012] [Citation(s) in RCA: 136] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Hypertension and renal damage in Dahl SS rats are associated with increased infiltrating immune cells in the kidney. To examine the role of infiltrating immune cells in this disease process, a zinc finger nuclease targeting bases 672-706 of recombination-activating gene 1 (Rag1) was injected into the pronucleus of Dahl SS (SS/JrHsdMcwi) strain embryos and implanted in pseudopregnant females. This strategy yielded a rat strain with a 13-base frame-shift mutation in the target region of Rag1 and a deletion of immunoreactive Rag1 protein in the thymus. Flow cytometry demonstrated that the Rag1-null mutant rats have a significant reduction in T and B lymphocytes in the circulation and spleen. Studies were performed on SS and Rag1-null rats fed a 4.0% NaCl diet for 3 wk. The infiltration of T cells into the kidney following high-salt intake was significantly blunted in the Rag1-null rats (1.7 ± 0.6 × 10(5) cells/kidney) compared with the Dahl SS (5.6 ± 0.9 × 10(5) cells/kidney). Accompanying the reduction in infiltration of immune cells in the kidney, mean arterial blood pressure and urinary albumin excretion rate were significantly lower in Rag1-null mutants (158 ± 3 mmHg and 60 ± 16 mg/day, respectively) than in SS rats (180 ± 11 mmHg and 251 ± 37 mg/day). Finally, a histological analysis revealed that the glomerular and tubular damage in the kidneys of the SS rats fed a high-salt diet was also attenuated in the Rag1 mutants. These studies demonstrate the importance of renal infiltration of immune cells in the pathogenesis of hypertension and renal damage in Dahl SS rats.
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Affiliation(s)
- David L Mattson
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
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Mattson DL, Lund H, Guo C, Geurts A, Jacob H. Abstract 4: Genetic Deletion of CD247 in Dahl Salt-Sensitive (SS) Rats Attenuates Hypertension and Renal Damage. Hypertension 2012. [DOI: 10.1161/hyp.60.suppl_1.a4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The CD3 zeta chain (CD247), a gene involved in T cell signaling, has been demonstrated to associate with hypertension in human genetic studies. Hypertension and renal damage in the Dahl SS rat are associated with an increase in infiltrating T cells in the kidney. There are numerous descriptions of the role of CD247 as a modulator of T cell receptor signaling, but little is known about the role of this gene product in hypertension. To test the functional role of CD247 in hypertension and renal disease, zinc finger nucleases targeting exon 1 were injected into Dahl SS/JrHsdMcwi embryos. The resulting mutation is a 13-bp frameshift deletion of bases 155-167 in exon 1 of CD247 leading to a predicted stop codon within 19 bases of the mutation. Western blotting confirmed the absence of CD247 protein in the thymus, demonstrating a null mutation, and flow cytometry of circulating T and B-cells in wild type (WT) and CD247 null mutant rats (n=5-10/group) demonstrated that the mutants have a significant decrease in CD3+ T-cells (0.04±0.01 vs 4.6±0.5 x 10
7
cells/ml) and increased CD45R+ B-cells (4.1±0.4 vs 1.2±0.2 x 10
7
cells/ml). Studies were then performed on age-matched, male, WT and CD247 null mutant rats fed a 4.0% NaCl diet for three weeks. The infiltration of CD3+ T-cells into the kidney following high salt was significantly blunted in the CD247 mutant rats (1.4±0.4 x 10
5
cells/kidney) compared to the WT (8.7±2.0 x 10
5
cells/kidney). Accompanying the reduced infiltration of T-cells, mean arterial blood pressure was significantly lower in the CD247 null mutant rats than the WT (134±1 vs 151±2 mmHg). As an index of kidney disease, urinary albumin and protein excretion rate were significantly reduced in CD247 null mutants (17±1 and 62±2 mg/day, respectively) compared to WT (49±3 and 121±5 mg/day, respectively). Finally, a histological analysis revealed that the glomerular and tubular damage in the kidneys of the WT rats fed high salt was also attenuated in the CD247 null mutants. This new experimental model provides evidence that T cells are required for the full development of Dahl SS hypertension and indicate that the association between CD247 and hypertension in humans may be related to altered immune cell function. Supported by HL-29587, DK-62803, and RC2-HL101681.
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Pabbidi MR, Juncos J, Renic M, Tullos HJ, Lazar J, Harder DR, Jacob H, Roman RJ. Abstract 127: Identification of a Region of Rat Chromosome 1 That Impairs the Myogenic Response and Cerebral Blood Flow Autoregulation in Fawn Hooded Hypertensive Rats. Hypertension 2012. [DOI: 10.1161/hyp.60.suppl_1.a127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study examined the effect of transfer of a 2.4 Mbp region of Brown Norway (BN) rat Chr 1 into the Fawn Hooded Hypertensive (FHH) genetic background on autoregulation (AR) of cerebral blood flow (CBF) and the myogenic response of isolated middle cerebral arteries (MCA). Autoregulation of CBF measured by laser Doppler flowmetry was poor in FHH rats (AR index (AI), 0.8±0.1) and in FHH.1BN congenic strains which excluded the critical region (AR-: AI, 0.9± 0.1). In contrast, autoregulation of CBF was completely restored by transfer of the region of BN Chr 1 between 258.8 to 261.2 Mbp in AR+ FHH.1BN congenic strains (AI, 0.3 ± 0.1). The diameter of MCA of FHH rats and AR- congenic strains increased by ∼10% (140 ± 1 to 157± 2 μm), when transmural pressure was increased from 40 to 140 mmHg. In contrast, the diameter of the MCA in AR+ congenic strain fell from 127 ± 2 to 65 ± 1 μm. Whole-cell patch-clamp of cerebral VSM cells revealed a 4.3-fold increase in BK channel current densities at depolarized potentials in FHH versus AR+ rats (105 ± 2 versus 24 ± 4 pA/pF at +80mV). Using single channel analysis we found that the increase in BK channel current was largely due to a marked increase in the NPo of BK channel in FHH as compared to AR+ rats (0.9 ± 0.1 and 0.2 ± 0.1 at +80mV). To explore the significance of the impaired myogenic response, we compared changes in CBF and infarct size following transient occlusion and reperfusion of the MCA in FHH rats and the AR- and AR+ congenic strains. Occlusion of MCA reduced CBF similarly in all the strains. However, the hyperemic response following reperfusion in FHH and AR- strains was significantly greater and more prolonged than that seen in AR+ rats (AR-: 173 ± 1%, 45 min versus AR+: 124 ± 5%, 15 min). Moreover, infarct size and edema formation was significantly greater in the AR- congenic strain (39 ± 3 % and 12 ± 2 %) in comparison to that seen in the AR+ strain (28 ± 2 %; 7 ± 1%). These results indicate that there is a gene that plays a critical role in the regulation of the myogenic response of the cerebral vasculature by altering BK channel activity in the critical 2.4 Mb region of Chr 1 containing just 15 genes and that transfer of this region from BN to FHH rats restores autoregulation of CBF, vascular reactivity and reduces infarct size following ischemia/reperfusion injury.
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Liu P, Morrison C, Wang L, Xiong D, Vedell P, Cui P, Hua X, Ding F, Lu Y, James M, Ebben JD, Xu H, Adjei AA, Head K, Andrae JW, Tschannen MR, Jacob H, Pan J, Zhang Q, Van den Bergh F, Xiao H, Lo KC, Patel J, Richmond T, Watt MA, Albert T, Selzer R, Anderson M, Wang J, Wang Y, Starnes S, Yang P, You M. Identification of somatic mutations in non-small cell lung carcinomas using whole-exome sequencing. Carcinogenesis 2012; 33:1270-6. [PMID: 22510280 DOI: 10.1093/carcin/bgs148] [Citation(s) in RCA: 162] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Lung cancer is the leading cause of cancer-related death, with non-small cell lung cancer (NSCLC) being the predominant form of the disease. Most lung cancer is caused by the accumulation of genomic alterations due to tobacco exposure. To uncover its mutational landscape, we performed whole-exome sequencing in 31 NSCLCs and their matched normal tissue samples. We identified both common and unique mutation spectra and pathway activation in lung adenocarcinomas and squamous cell carcinomas, two major histologies in NSCLC. In addition to identifying previously known lung cancer genes (TP53, KRAS, EGFR, CDKN2A and RB1), the analysis revealed many genes not previously implicated in this malignancy. Notably, a novel gene CSMD3 was identified as the second most frequently mutated gene (next to TP53) in lung cancer. We further demonstrated that loss of CSMD3 results in increased proliferation of airway epithelial cells. The study provides unprecedented insights into mutational processes, cellular pathways and gene networks associated with lung cancer. Of potential immediate clinical relevance, several highly mutated genes identified in our study are promising druggable targets in cancer therapy including ALK, CTNNA3, DCC, MLL3, PCDHIIX, PIK3C2B, PIK3CG and ROCK2.
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Affiliation(s)
- Pengyuan Liu
- Department of Physiology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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Flister M, Jia S, Tsaih SW, Sarkis A, Zheng S, Geurts A, Moreno-Quinn C, Lazar J, Hessner MJ, Jacob H. GWAS nominated gene SH2B3 increases cardiac remodeling and inflammation associated with type 1 diabetes (T1D). FASEB J 2012. [DOI: 10.1096/fasebj.26.1_supplement.1057.25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Michael Flister
- Department of PhysiologyMedical College of WisconsinMilwaukeeWI
- Human and Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Shuang Jia
- Human and Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
- Department of PediatricsMedical College of WisconsinMilwaukeeWI
| | - Shirng-Wern Tsaih
- Human and Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Allison Sarkis
- Department of PhysiologyMedical College of WisconsinMilwaukeeWI
| | - Sasha Zheng
- Department of PhysiologyMedical College of WisconsinMilwaukeeWI
- Human and Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Aron Geurts
- Department of PhysiologyMedical College of WisconsinMilwaukeeWI
- Human and Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Carol Moreno-Quinn
- Department of PhysiologyMedical College of WisconsinMilwaukeeWI
- Human and Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Jozef Lazar
- Human and Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
- Department of DermatologyMedical College of WisconsinMilwaukeeWI
| | - Martin J Hessner
- Human and Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
- Department of PediatricsMedical College of WisconsinMilwaukeeWI
| | - Howard Jacob
- Department of PhysiologyMedical College of WisconsinMilwaukeeWI
- Human and Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
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Murphy S, Fan F, Baker R, Guerts A, Jacob H, Roman R. Upregulation of renal medullary 20‐HETE production opposes the development of hypertension in Sleeping Beauty Transposon CYP4A1 transgenic Dahl S rats. FASEB J 2012. [DOI: 10.1096/fasebj.26.1_supplement.1103.13] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Sydney Murphy
- Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJacksonMS
| | - Fan Fan
- Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJacksonMS
| | - Rodney Baker
- Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJacksonMS
| | | | | | - Richard Roman
- Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJacksonMS
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Dwinell M, Shimoyama M, Nigam R, Liu W, Tutaj M, De Pons J, Wang SJ, Smith J, Lowry T, Hayman GT, Laulederkind S, Petri V, Jayaraman P, Worthey E, Munzenmaier D, Jacob H. PhenoMiner: an interactive tool for physiologists integrating phenotype data using multiple ontologies. FASEB J 2012. [DOI: 10.1096/fasebj.26.1_supplement.717.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Melinda Dwinell
- PhysiologyMedical College of WisconsinMilwaukeeWI
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Mary Shimoyama
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
- SurgeryMedical College of WisconsinMilwaukeeWI
| | - Rajni Nigam
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Weisong Liu
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Marek Tutaj
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Jeff De Pons
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Shur-Jen Wang
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Jennifer Smith
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Timothy Lowry
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - G. Thomas Hayman
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | | | - Victoria Petri
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Pushkala Jayaraman
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Elizabeth Worthey
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
- PediatricsMedical College of WisconsinMilwaukeeWI
| | - Diane Munzenmaier
- PhysiologyMedical College of WisconsinMilwaukeeWI
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | - Howard Jacob
- PhysiologyMedical College of WisconsinMilwaukeeWI
- Human & Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
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Endres B, Moreno C, Lombard J, Jacob H, Geurts A. Identifying Plekha7, an adherens junction protein, as a regulator of protein excretion in the kidney. FASEB J 2012. [DOI: 10.1096/fasebj.26.1_supplement.875.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Carol Moreno
- PhysiologyMedical College of WisconsinMilwaukeeWI
- Human Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
| | | | - Howard Jacob
- Human Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
- PediatricsMedical College of WisconsinMilwaukeeWI
| | - Aron Geurts
- PhysiologyMedical College of WisconsinMilwaukeeWI
- Human Molecular Genetics CenterMedical College of WisconsinMilwaukeeWI
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Lehrl S, Gusinde J, Schulz-Drost S, Rein A, Schlechtweg PM, Jacob H, Krinner S, Gelse K, Pauser J, Brem MH. Advancement of physical process by mental activation: A prospective controlled study. ACTA ACUST UNITED AC 2012; 49:1221-8. [DOI: 10.1682/jrrd.2011.05.0086] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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McDermott-Roe C, Ye J, Ahmed R, Sun XM, Serafín A, Ware J, Bottolo L, Muckett P, Cañas X, Zhang J, Rowe GC, Buchan R, Lu H, Braithwaite A, Mancini M, Hauton D, Martí R, García-Arumí E, Hubner N, Jacob H, Serikawa T, Zidek V, Papousek F, Kolar F, Cardona M, Ruiz-Meana M, García-Dorado D, Comella JX, Felkin LE, Barton PJR, Arany Z, Pravenec M, Petretto E, Sanchis D, Cook SA. Endonuclease G is a novel determinant of cardiac hypertrophy and mitochondrial function. Nature 2011; 478:114-8. [PMID: 21979051 PMCID: PMC3189541 DOI: 10.1038/nature10490] [Citation(s) in RCA: 115] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2011] [Accepted: 08/17/2011] [Indexed: 12/31/2022]
Abstract
Left ventricular mass (LVM) is a highly heritable trait and an independent risk factor for all-cause mortality. So far, genome-wide association studies have not identified the genetic factors that underlie LVM variation, and the regulatory mechanisms for blood-pressure-independent cardiac hypertrophy remain poorly understood. Unbiased systems genetics approaches in the rat now provide a powerful complementary tool to genome-wide association studies, and we applied integrative genomics to dissect a highly replicated, blood-pressure-independent LVM locus on rat chromosome 3p. Here we identified endonuclease G (Endog), which previously was implicated in apoptosis but not hypertrophy, as the gene at the locus, and we found a loss-of-function mutation in Endog that is associated with increased LVM and impaired cardiac function. Inhibition of Endog in cultured cardiomyocytes resulted in an increase in cell size and hypertrophic biomarkers in the absence of pro-hypertrophic stimulation. Genome-wide network analysis unexpectedly implicated ENDOG in fundamental mitochondrial processes that are unrelated to apoptosis. We showed direct regulation of ENDOG by ERR-α and PGC1α (which are master regulators of mitochondrial and cardiac function), interaction of ENDOG with the mitochondrial genome and ENDOG-mediated regulation of mitochondrial mass. At baseline, the Endog-deleted mouse heart had depleted mitochondria, mitochondrial dysfunction and elevated levels of reactive oxygen species, which were associated with enlarged and steatotic cardiomyocytes. Our study has further established the link between mitochondrial dysfunction, reactive oxygen species and heart disease and has uncovered a role for Endog in maladaptive cardiac hypertrophy.
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Affiliation(s)
- Chris McDermott-Roe
- Medical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital, Du Cane Road, London W12 ONN, UK
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