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Wang A, Shen J, Rodriguez AA, Saunders EJ, Chen F, Janivara R, Darst BF, Sheng X, Xu Y, Chou AJ, Benlloch S, Dadaev T, Brook MN, Plym A, Sahimi A, Hoffman TJ, Takahashi A, Matsuda K, Momozawa Y, Fujita M, Laisk T, Figuerêdo J, Muir K, Ito S, Liu X, Uchio Y, Kubo M, Kamatani Y, Lophatananon A, Wan P, Andrews C, Lori A, Choudhury PP, Schleutker J, Tammela TL, Sipeky C, Auvinen A, Giles GG, Southey MC, MacInnis RJ, Cybulski C, Wokolorczyk D, Lubinski J, Rentsch CT, Cho K, Mcmahon BH, Neal DE, Donovan JL, Hamdy FC, Martin RM, Nordestgaard BG, Nielsen SF, Weischer M, Bojesen SE, Røder A, Stroomberg HV, Batra J, Chambers S, Horvath L, Clements JA, Tilly W, Risbridger GP, Gronberg H, Aly M, Szulkin R, Eklund M, Nordstrom T, Pashayan N, Dunning AM, Ghoussaini M, Travis RC, Key TJ, Riboli E, Park JY, Sellers TA, Lin HY, Albanes D, Weinstein S, Cook MB, Mucci LA, Giovannucci E, Lindstrom S, Kraft P, Hunter DJ, Penney KL, Turman C, Tangen CM, Goodman PJ, Thompson IM, Hamilton RJ, Fleshner NE, Finelli A, Parent MÉ, Stanford JL, Ostrander EA, Koutros S, Beane Freeman LE, Stampfer M, Wolk A, Håkansson N, Andriole GL, Hoover RN, Machiela MJ, Sørensen KD, Borre M, Blot WJ, Zheng W, Yeboah ED, Mensah JE, Lu YJ, Zhang HW, Feng N, Mao X, Wu Y, Zhao SC, Sun Z, Thibodeau SN, McDonnell SK, Schaid DJ, West CM, Barnett G, Maier C, Schnoeller T, Luedeke M, Kibel AS, Drake BF, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Koudou YA, John EM, Grindedal EM, Maehle L, Khaw KT, Ingles SA, Stern MC, Vega A, Gómez-Caamaño A, Fachal L, Rosenstein BS, Kerns SL, Ostrer H, Teixeira MR, Paulo P, Brandão A, Watya S, Lubwama A, Bensen JT, Butler EN, Mohler JL, Taylor JA, Kogevinas M, Dierssen-Sotos T, Castaño-Vinyals G, Cannon-Albright L, Teerlink CC, Huff CD, Pilie P, Yu Y, Bohlender RJ, Gu J, Strom SS, Multigner L, Blanchet P, Brureau L, Kaneva R, Slavov C, Mitev V, Leach RJ, Brenner H, Chen X, Holleczek B, Schöttker B, Klein EA, Hsing AW, Kittles RA, Murphy AB, Logothetis CJ, Kim J, Neuhausen SL, Steele L, Ding YC, Isaacs WB, Nemesure B, Hennis AJ, Carpten J, Pandha H, Michael A, Ruyck KD, Meerleer GD, Ost P, Xu J, Razack A, Lim J, Teo SH, Newcomb LF, Lin DW, Fowke JH, Neslund-Dudas CM, Rybicki BA, Gamulin M, Lessel D, Kulis T, Usmani N, Abraham A, Singhal S, Parliament M, Claessens F, Joniau S, den Broeck TV, Gago-Dominguez M, Castelao JE, Martinez ME, Larkin S, Townsend PA, Aukim-Hastie C, Bush WS, Aldrich MC, Crawford DC, Srivastava S, Cullen J, Petrovics G, Casey G, Wang Y, Tettey Y, Lachance J, Tang W, Biritwum RB, Adjei AA, Tay E, Truelove A, Niwa S, Yamoah K, Govindasami K, Chokkalingam AP, Keaton JM, Hellwege JN, Clark PE, Jalloh M, Gueye SM, Niang L, Ogunbiyi O, Shittu O, Amodu O, Adebiyi AO, Aisuodionoe-Shadrach OI, Ajibola HO, Jamda MA, Oluwole OP, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Diop H, Gundell SM, Roobol MJ, Jenster G, van Schaik RH, Hu JJ, Sanderson M, Kachuri L, Varma R, McKean-Cowdin R, Torres M, Preuss MH, Loos RJ, Zawistowski M, Zöllner S, Lu Z, Van Den Eeden SK, Easton DF, Ambs S, Edwards TL, Mägi R, Rebbeck TR, Fritsche L, Chanock SJ, Berndt SI, Wiklund F, Nakagawa H, Witte JS, Gaziano JM, Justice AC, Mancuso N, Terao C, Eeles RA, Kote-Jarai Z, Madduri RK, Conti DV, Haiman CA. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants. Nat Genet 2023; 55:2065-2074. [PMID: 37945903 PMCID: PMC10841479 DOI: 10.1038/s41588-023-01534-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 09/15/2023] [Indexed: 11/12/2023]
Abstract
The transferability and clinical value of genetic risk scores (GRSs) across populations remain limited due to an imbalance in genetic studies across ancestrally diverse populations. Here we conducted a multi-ancestry genome-wide association study of 156,319 prostate cancer cases and 788,443 controls of European, African, Asian and Hispanic men, reflecting a 57% increase in the number of non-European cases over previous prostate cancer genome-wide association studies. We identified 187 novel risk variants for prostate cancer, increasing the total number of risk variants to 451. An externally replicated multi-ancestry GRS was associated with risk that ranged from 1.8 (per standard deviation) in African ancestry men to 2.2 in European ancestry men. The GRS was associated with a greater risk of aggressive versus non-aggressive disease in men of African ancestry (P = 0.03). Our study presents novel prostate cancer susceptibility loci and a GRS with effective risk stratification across ancestry groups.
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Affiliation(s)
- Anqi Wang
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jiayi Shen
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Fei Chen
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rohini Janivara
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Burcu F. Darst
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Xin Sheng
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yili Xu
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Alisha J. Chou
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sara Benlloch
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology,University of Cambridge, Cambridge, UK
| | | | | | - Anna Plym
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Urology Division, Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ali Sahimi
- Department of Population and Public Health Sciences, Keck School of Medicine,University of Southern California, Los Angeles, CA, USA
| | - Thomas J. Hoffman
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Atushi Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Genomic Medicine, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan
| | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Laboratory of Clinical Genome Sequencing,Graduate school of Frontier Sciences,The University of Tokyo, Tokyo, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center of Integrative Medical Sciences, Yokohama, Japan
| | - Masashi Fujita
- Laboratory for Cancer Genomics, RIKEN Center of Integrative Medical Sciences, Yokohama, Japan
| | - Triin Laisk
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jéssica Figuerêdo
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Shuji Ito
- Department of Orthopaedics, Shimane University, Izumo, Shimane, Japan
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Xiaoxi Liu
- Laboratory for Statistical and Translational Genetics, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - The Biobank Japan Project
- Corresponding Author: Christopher A. Haiman, Harlyne J. Norris Cancer Research Tower, USC Norris Comprehensive Cancer Center, 1450 Biggy Street, Rm 1504, Los Angeles, CA 90033 or
| | - Yuji Uchio
- Department of Orthopaedics, Shimane University, Izumo, Shimane, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester, UK
| | - Peggy Wan
- Department of Population and Public Health Sciences, Keck School of Medicine,University of Southern California, Los Angeles, CA, USA
| | - Caroline Andrews
- Harvard TH Chan School of Public Health and Division of Population Sciences,Dana Farber Cancer Institute, Boston, MA, USA
| | - Adriana Lori
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | | | - Johanna Schleutker
- Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Medical Genetics, Genomics, Laboratory Division, Turku University Hospital, Turku, Finland
| | | | - Csilla Sipeky
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Anssi Auvinen
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health,The University of Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Melissa C. Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Robert J. MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health,The University of Melbourne, Victoria, Australia
| | - Cezary Cybulski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Dominika Wokolorczyk
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Jan Lubinski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Christopher T. Rentsch
- Yale School of Medicine, New Haven, CT, USA
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kelly Cho
- Division of Aging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
| | | | - David E. Neal
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Headington, Oxford, UK
- University of Cambridge, Department of Oncology, Addenbrooke’s Hospital, Cambridge, UK
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, UK
| | - Jenny L. Donovan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Freddie C. Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Faculty of Medical Science, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Richard M. Martin
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Borge G. Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
| | - Sune F. Nielsen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
| | - Maren Weischer
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
| | - Stig E. Bojesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
| | - Andreas Røder
- Copenhagen Prostate Cancer Center, Department of Urology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Hein V. Stroomberg
- Copenhagen Prostate Cancer Center, Department of Urology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jyotsna Batra
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
- Translational Research Institute, Brisbane, Queensland, Australia
| | | | - Lisa Horvath
- Chris O’Brien Lifehouse (COBLH), Camperdown, Sydney, NSW, Australia, Sydney, Australia
- Garvan Institute of Medical Research, Sydney, Australia
| | - Judith A. Clements
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
- Translational Research Institute, Brisbane, Queensland, Australia
| | - Wayne Tilly
- Dame Roma Mitchell Cancer Research Laboratories, University of Adelaide, Adelaide, Australia
| | - Gail P. Risbridger
- Department of Anatomy and Developmental Biology, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia
- Prostate Cancer Translational Research Program, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Henrik Gronberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Markus Aly
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, and Department of Urology, Karolinska University Hospital, Solna, Stockholm, Sweden
- Department of Urology, Karolinska University Hospital, Stockholm, Sweden
| | - Robert Szulkin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- SDS Life Sciences, Stockholm, Sweden
| | - Martin Eklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Tobias Nordstrom
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Sciences at Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Nora Pashayan
- University College London, Department of Applied Health Research, London, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Cambridge, UK
- Department of Applied Health Research, University College London, London, UK
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Cambridge, UK
| | - Maya Ghoussaini
- Open Targets, Wellcome Sanger Institute, Hinxton, Saffron Walden, Hinxton, UK
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tim J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Jong Y. Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Thomas A. Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Hui-Yi Lin
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Michael B. Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH,, Bethesda, MD, USA
| | - Lorelei A. Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Sara Lindstrom
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - David J. Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kathryn L. Penney
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital/Harvard Medical School, Boston, MA, USA
| | - Constance Turman
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Catherine M. Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Phyllis J. Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ian M. Thompson
- CHRISTUS Santa Rosa Hospital – Medical Center, San Antonio, TX, USA
| | - Robert J. Hamilton
- Dept. of Surgical Oncology, Princess Margaret Cancer Centre, Toronto, Canada
- Dept. of Surgery (Urology), University of Toronto, Toronto, Canada
| | - Neil E. Fleshner
- Dept. of Surgical Oncology, Princess Margaret Cancer Centre, Toronto, Canada
| | - Antonio Finelli
- Division of Urology, Princess Margaret Cancer Centre, Toronto, Canada
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Laval, QC, Canada
| | - Janet L. Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Elaine A. Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Laura E. Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Meir Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital/Harvard Medical School, Boston, MA, USA
| | - Alicja Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Niclas Håkansson
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gerald L. Andriole
- Brady Urological Institute in National Capital Region, Johns Hopkins University, Baltimore, MD, USA
| | - Robert N. Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Mitchell J. Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Karina Dalsgaard Sørensen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Michael Borre
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Urology, Aarhus University Hospital, Aarhus, Denmark
| | - William J. Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- International Epidemiology Institute, Rockville, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - James E. Mensah
- University of Ghana Medical School, Accra, Ghana
- Korle Bu Teaching Hospital, Accra, Ghana
| | - Yong-Jie Lu
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, UK
| | | | - Ninghan Feng
- Wuxi Second Hospital, Nanjing Medical University, Wuxi, Jiangzhu Province, China
| | - Xueying Mao
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, UK
| | - Yudong Wu
- Department of Urology, First Affiliated Hospital, The Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Shan-Chao Zhao
- Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zan Sun
- The People’s Hospital of Liaoning Proviouce, The People’s Hospital of China Medical University, Shenyang, China, Shenyang, China
| | - Stephen N. Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - Daniel J. Schaid
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Catharine M.L. West
- Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Radiotherapy Related Research, The Christie Hospital NHS Foundation Trust, Manchester, UK
| | - Gill Barnett
- University of Cambridge Department of Oncology, Oncology Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | | | | | - Adam S. Kibel
- Division of Urologic Surgery, Brigham and Womens Hospital, Boston, MA, USA
| | | | - Olivier Cussenot
- GRC 5 Predictive Onco-Urology, Sorbonne Université, Paris, France
- CeRePP, Paris, France
| | | | - Florence Menegaux
- Exposome and Heredity, CESP (UMR 1018), Paris-Saclay Medical School, Paris-Saclay University, Inserm, Gustave Roussy, Villejuif, France
| | - Thérèse Truong
- Exposome and Heredity, CESP (UMR 1018), Paris-Saclay Medical School, Paris-Saclay University, Inserm, Gustave Roussy, Villejuif, France
| | - Yves Akoli Koudou
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif Cédex, France
| | - Esther M. John
- Department of Medicine, Stanford Cancer Institute,Stanford University School of Medicine, Stanford, CA, USA
| | | | - Lovise Maehle
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Kay-Tee Khaw
- Clinical Gerontology Unit, University of Cambridge, Cambridge, UK
| | - Sue A. Ingles
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Mariana C Stern
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Ana Vega
- Fundación Pública Galega Medicina Xenómica, Santiago De Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago De Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Spain
| | - Antonio Gómez-Caamaño
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Laura Fachal
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago De Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Spain
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
- Fundación Pública Galega Medicina Xenómica, Santiago de Compostela, Spain
| | - Barry S. Rosenstein
- Department of Radiation Oncology and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sarah L. Kerns
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Harry Ostrer
- Professor of Pathology and Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Manuel R. Teixeira
- Department of Laboratory Genetics, Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
- School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Porto, Portugal
| | - Paula Paulo
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
| | - Andreia Brandão
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
| | | | | | - Jeannette T. Bensen
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ebonee N. Butler
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James L. Mohler
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Jack A. Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
- Laboratory of Molecular Carcinogenesis, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Trinidad Dierssen-Sotos
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- University of Cantabria-IDIVAL, Santander, Spain
| | - Gemma Castaño-Vinyals
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Lisa Cannon-Albright
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Craig C. Teerlink
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Chad D. Huff
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Patrick Pilie
- Department of Genitourinary Medical Oncology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Yao Yu
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Ryan J. Bohlender
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Jian Gu
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Sara S. Strom
- The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Luc Multigner
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Rennes, France
| | - Pascal Blanchet
- CHU de Pointe-à-Pitre, Univ Antilles, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Pointe-à-Pitre, France
| | - Laurent Brureau
- CHU de Pointe-à-Pitre, Univ Antilles, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Pointe-à-Pitre, France
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Chavdar Slavov
- Department of Urology and Alexandrovska University Hospital, Medical University of Sofia, Sofia, Bulgaria
| | - Vanio Mitev
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Robin J. Leach
- Department of Cell Systems and Anatomy and Mays Cancer Center, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Xuechen Chen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eric A. Klein
- Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
- Glickman Urological & Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ann W. Hsing
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Adam B. Murphy
- Department of Urology, Northwestern University, Chicago, IL, USA
| | - Christopher J. Logothetis
- The University of Texas M. D. Anderson Cancer Center, Department of Genitourinary Medical Oncology, Houston, TX, USA
| | - Jeri Kim
- The University of Texas M. D. Anderson Cancer Center, Department of Genitourinary Medical Oncology, Houston, TX, USA
| | - Susan L. Neuhausen
- Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Linda Steele
- Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Yuan Chun Ding
- Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - William B. Isaacs
- James Buchanan Brady Urological Institute, Johns Hopkins Hospital and Medical Institution, Baltimore, MD, USA
| | - Barbara Nemesure
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Anselm J.M. Hennis
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
- Chronic Disease Research Centre and Faculty of Medical Sciences, University of the West Indies, Bridgetown, Barbados
| | - John Carpten
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Kim De Ruyck
- Ghent University, Faculty of Medicine and Health Sciences, Basic Medical Sciences, Ghent, Belgium
| | - Gert De Meerleer
- Ghent University Hospital, Department of Radiotherapy, Ghent, Belgium
| | - Piet Ost
- Ghent University Hospital, Department of Radiotherapy, Ghent, Belgium
| | - Jianfeng Xu
- Program for Personalized Cancer Care and Department of Surgery, NorthShore University HealthSystem, Evanston, IL, USA
| | - Azad Razack
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Jasmine Lim
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Soo-Hwang Teo
- Cancer Research Malaysia (CRM), Outpatient Centre, Subang Jaya Medical Centre, Subang Jaya, Selangor, Malaysia
| | - Lisa F. Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Daniel W. Lin
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Jay H. Fowke
- Department of Preventive Medicine, Division of Epidemiology,The University of Tennessee Health Science Center, Memphis, TN, USA
| | | | - Benjamin A. Rybicki
- Department of Public Health Sciences, Henry Ford Hospital, Detroit, Detroit, MI, USA
| | - Marija Gamulin
- Division of Medical Oncology, Urogenital Unit, Department of Oncology, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Davor Lessel
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tomislav Kulis
- Department of Urology, University Hospital Center Zagreb, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Nawaid Usmani
- Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada
- Division of Radiation Oncology, Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Aswin Abraham
- Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada
- Division of Radiation Oncology, Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Sandeep Singhal
- Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Matthew Parliament
- Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada
- Division of Radiation Oncology, Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Frank Claessens
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, Leuven, Belgium
| | - Steven Joniau
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | - Thomas Van den Broeck
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, Leuven, Belgium
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigacion Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saúde, SERGAS, Santiago de Compostela, Spain
- University of California San Diego, Moores Cancer Center, La Jolla, CA, USA
| | - Jose Esteban Castelao
- Genetic Oncology Unit, CHUVI Hospital, Complexo Hospitalario Universitario de Vigo, Instituto de Investigación Biomédica Galicia Sur (IISGS), Vigo (Pontevedra), Spain
| | - Maria Elena Martinez
- University of California San Diego, Moores Cancer Center, Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Samantha Larkin
- Scientific Education Support, Thames Ditton, Surrey, Formerly Cancer Sciences, University of Southampton, Southampton, UK
| | - Paul A. Townsend
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
| | | | - William S. Bush
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Melinda C. Aldrich
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dana C. Crawford
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Shiv Srivastava
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, USA
| | - Jennifer Cullen
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
- Department of Surgery, Center for Prostate Disease Research,Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Gyorgy Petrovics
- Department of Surgery, Center for Prostate Disease Research,Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Graham Casey
- Department of Public Health Science, Center for Public Health Genomics,University of Virginia, Charlottesville, VA, USA
| | - Ying Wang
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Yao Tettey
- Korle Bu Teaching Hospital, Accra, Ghana
- Department of Pathology, University of Ghana, Accra, Ghana
| | - Joseph Lachance
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Wei Tang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | - Andrew A. Adjei
- Department of Pathology, University of Ghana Medical School, Accra, Ghana
| | - Evelyn Tay
- Korle Bu Teaching Hospital, Accra, Ghana
| | | | | | - Kosj Yamoah
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | | | | | - Jacob M. Keaton
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jacklyn N. Hellwege
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Nashville, TN, USA
| | - Peter E. Clark
- Atrium Health/Levine Cancer Institute, Charlotte, NC, USA
| | | | | | | | - Olufemi Ogunbiyi
- Department of Pathology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Olayiwola Shittu
- Department of Surgery, College of Medicine, University of Ibadan and Univerity College Hospital, Ibadan, Nigeria
| | - Olukemi Amodu
- Institute of Child Health, College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria
| | - Akindele O. Adebiyi
- Clinical Epidemiology Unit, Department of Community Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oseremen I. Aisuodionoe-Shadrach
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Hafees O. Ajibola
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Mustapha A. Jamda
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Olabode P. Oluwole
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Maxwell Nwegbu
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | | | | | | | - Halimatou Diop
- Laboratoires Bacteriologie et Virologie, Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Susan M. Gundell
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Monique J. Roobol
- Department of Urology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Guido Jenster
- Department of Urology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Ron H.N. van Schaik
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Jennifer J. Hu
- The University of Miami School of Medicine, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, Nashville, TN, USA
| | - Linda Kachuri
- Department of Epidemiology and Population Health, Stanford Cancer Institute, Stanford, CA, USA
| | - Rohit Varma
- Southern California Eye Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, CA, USA
| | - Roberta McKean-Cowdin
- Department of Population and Public Health Sciences, Keck School of Medicine,University of Southern California, Los Angeles, CA, USA
| | - Mina Torres
- Southern California Eye Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, CA, USA
| | - Michael H. Preuss
- The Charles Bronfman Institute for Personalized Medicine,Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine,Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew Zawistowski
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Sebastian Zöllner
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Zeyun Lu
- Department of Population and Public Health Sciences, Keck School of Medicine,University of Southern California, Los Angeles, CA, USA
| | | | - Douglas F. Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology,, Cambridge, UK
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Todd L. Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Timothy R. Rebbeck
- Harvard TH Chan School of Public Health and Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA, USA
| | - Lars Fritsche
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Hidewaki Nakagawa
- Laboratory for Cancer Genomics, RIKEN Center of Integrative Medical Sciences, Yokohama, Japan
| | - John S. Witte
- Department of Epidemiology and Population Health, Stanford Cancer Institute, Stanford, CA, USA
- Departments of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - J. Michael Gaziano
- Division of Aging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
| | | | - Nick Mancuso
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- The Department of Applied Genetics, School of Pharmaceutical Sciences, Shizuoka, Japan
| | - Rosalind A. Eeles
- The Institute of Cancer Research, London, UK
- Royal Marsden NHS Foundation Trust, London, UK
| | | | | | - David V. Conti
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Christopher A. Haiman
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Lu X, Ye Y, Qian Y. A Modified Double-Eyelid Blepharoplasty: Tarsus Linkage Mechanism. Aesthetic Plast Surg 2023; 47:2440-2446. [PMID: 37386262 PMCID: PMC10784336 DOI: 10.1007/s00266-023-03444-6] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/27/2023] [Indexed: 07/01/2023]
Abstract
BACKGROUND Double-eyelid blepharoplasty is the most popular plastic surgery in East Asia. The incisional methods are divided into two schools. The traditional method produces a stable eyelid, but will leave a postoperative scar. The other is represented by "Park," creating dynamic double-eyelid technology. Its advantage is that there is only mild scarring, but its disadvantages are asymmetry, corneal exposure, and loss of the palpebral furrow. Due to these various complications, we here propose an improved incisional blepharoplasty with the tarsus linkage mechanism. METHODS This work covers 482 patients who underwent surgery from March 2018 to March 2022. All patients completed 6 months of postoperative follow-up. The basic procedure described here involves removing the pre-tarsal tissue without completely incising the orbicularis and suturing the orbicularis and the tarsus into a unit. This connection provides a more robust and stable eyelid adhesion. RESULTS As reported by physicians, 412 patients (85.5%) had satisfactory results, 69 patients (14.3%) had somewhat satisfactory results, and 1 patient (0.2%) had unsatisfactory results. As reported by the patients, 424 patients (88.0%) were satisfied, 57 patients (11.8%) were somewhat satisfied, and 1 patient (0.2%) was unsatisfied. CONCLUSION This study proposes a modified double-eyelid blepharoplasty with the tarsus linkage mechanism. It is suitable for most primary eye cases, particularly in patients with lax upper lid skin and high levels of upper orbital fat. LEVEL OF EVIDENCE V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
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Affiliation(s)
- Xin Lu
- Department of Ophthalmology, Ningbo Medical Center Lihuili Hospital, Medical School of Ningbo University, Ningbo, 315000, Zhejiang, People's Republic of China.
| | - Yunyan Ye
- Department of Ophthalmology, Ningbo Medical Center Lihuili Hospital, Medical School of Ningbo University, Ningbo, 315000, Zhejiang, People's Republic of China
| | - Yuxian Qian
- Ya Su Medical Beauty Clinic, Ningbo, 315000, Zhejiang, People's Republic of China.
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53
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Lin Y, Shi J, Shi B, Jia Z. MMP16 as NSCL ± P Susceptible Gene in Western Han Chinese. Cleft Palate Craniofac J 2023; 60:1625-1631. [PMID: 36120833 DOI: 10.1177/10556656221125392] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE The role of MMP16 in lip development is unclear. This study aimed to identify nonsyndromic cleft lip with or without palate (NSCL ± P) susceptible loci of MMP16 in western Han Chinese. DESIGN We performed targeted sequencing around MMP16 combined with a 2-phase association analysis on common variants. Phase 2 association analysis was performed with NSCL ± P specific subphenotypes (NSCL and NSCLP). Then we used rare variants burden analysis and genotyping, accompanied by motif analysis. SETTING This study was completed in a tertiary medical center. PATIENTS, PARTICIPANTS Phase 1 targeted sequencing included 159 patients with NSCL ± P and 542 normal controls; phase 2 included 1626 patients with NSCL ± P (1047 NSCL and 579 NSCLP) and 2255 normal controls. INTERVENTIONS Venous blood samples were collected from patients and used to extract DNA. MAIN OUTCOME MEASURES After Bonferroni correction, phase 1 significant threshold of p-value was 4.28 × 10-5 (0.05/1167 single nucleotide polymorphisms [SNPs]), and phase 2 was .00025 (0.05/200 SNPs). Burden analysis significant threshold p-value was .05. RESULTS Common variants phase 1 association analysis identified 11 statistically significant SNPs (lowest p = 1.90 × 10-9, odds ratio (OR) = 0.27, 95% CI: 0.17-0.44), phase 2 replication identified 16 SNPs in NSCL ± P (lowest p = 6.26 × 10-6, OR = 0.77, 95% CI: 0.69-0.86) and 9 in NSCL (lowest p = 8.44 × 10-5, OR = 0.76, 95% CI: 0.66-0.87). Rare variants burden analysis showed no significant results, genotyping results showed they were maternally inherited. CONCLUSIONS Our study identified MMP16 susceptible SNPs in NSCL ± P and NSCL, emphasizing its potential role in lip development. Our study also highlighted the importance to perform association analysis with subphenotypes divided.
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Affiliation(s)
- Yansong Lin
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Cleft Lip and Palate, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Jiayu Shi
- Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California, Los Angeles, CA, USA
| | - Bing Shi
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Cleft Lip and Palate, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Zhonglin Jia
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Cleft Lip and Palate, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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54
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Kusuma P, Cox MP, Barker G, Sudoyo H, Lansing JS, Jacobs GS. Deep ancestry of Bornean hunter-gatherers supports long-term local ancestry dynamics. Cell Rep 2023; 42:113346. [PMID: 37917587 DOI: 10.1016/j.celrep.2023.113346] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 06/30/2023] [Accepted: 10/10/2023] [Indexed: 11/04/2023] Open
Abstract
Borneo was a crossroad of ancient dispersals, with some of the earliest Southeast Asian human remains and rock art. The island is home to traditionally hunter-gatherer Punan communities, whose origins, whether of subsistence reversion or long-term foraging, are unclear. The connection between its past and present-day agriculturalist inhabitants, who currently speak Austronesian languages and have composite and complex genetic ancestry, is equally opaque. Here, we analyze the genetic ancestry of the northeastern Bornean Punan Batu (who still practice some mobile hunting and gathering), Tubu, and Aput. We find deep ancestry connections, with a shared Asian signal outgrouping modern and ancient Austronesian-ancestry proxies, suggesting a time depth of more than 7,500 years. They also largely lack the mainland Southeast Asian signals of agricultural Borneans, who are themselves genetically heterogeneous. Our results support long-term inhabitation of Borneo by some Punan ancestors and reveal unexpected complexity in the origins and dispersal of Austronesian-expansion-related ancestry.
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Affiliation(s)
- Pradiptajati Kusuma
- Division of Genome Diversity and Diseases, Mochtar Riady Institute for Nanotechnology, Banten, Indonesia.
| | - Murray P Cox
- Department of Statistics, University of Auckland, Auckland, New Zealand; School of Natural Sciences, Massey University, Palmerston North, New Zealand
| | - Graeme Barker
- Department of Archaeology, University of Cambridge, Cambridge, UK
| | - Herawati Sudoyo
- Division of Genome Diversity and Diseases, Mochtar Riady Institute for Nanotechnology, Banten, Indonesia
| | - J Stephen Lansing
- Santa Fe Institute, Santa Fe, NM, USA; Complexity Science Hub Vienna, Vienna, Austria
| | - Guy S Jacobs
- Department of Archaeology, University of Cambridge, Cambridge, UK.
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Chen J, Zhang H, Yang M, Wang R, Zhang H, Ren Z, Wang Q, Liu Y, Chen J, Ji J, Zhao J, He G, Guo J, Zhu K, Yang X, Ma H, Wang CC, Huang J. Genomic formation of Tibeto-Burman speaking populations in Guizhou, Southwest China. BMC Genomics 2023; 24:672. [PMID: 37936086 PMCID: PMC10630991 DOI: 10.1186/s12864-023-09767-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 10/25/2023] [Indexed: 11/09/2023] Open
Abstract
Sino-Tibetan is the most prominent language family in East Asia. Previous genetic studies mainly focused on the Tibetan and Han Chinese populations. However, due to the sparse sampling, the genetic structure and admixture history of Tibeto-Burman-speaking populations in the low-altitude region of Southwest China still need to be clarified. We collected DNA from 157 individuals from four Tibeto-Burman-speaking groups from the Guizhou province in Southwest China. We genotyped the samples at about 700,000 genome-wide single nucleotide polymorphisms. Our results indicate that the genetic variation of the four Tibeto-Burman-speaking groups in Guizhou is at the intermediate position in the modern Tibetan-Tai-Kadai/Austronesian genetic cline. This suggests that the formation of Tibetan-Burman groups involved a large-scale gene flow from lowland southern Chinese. The southern ancestry could be further modelled as deriving from Vietnam's Late Neolithic-related inland Southeast Asia agricultural populations and Taiwan's Iron Age-related coastal rice-farming populations. Compared to the Tibeto-Burman speakers in the Tibetan-Yi Corridor reported previously, the Tibeto-Burman groups in the Guizhou region received additional gene flow from the southeast coastal area of China. We show a difference between the genetic profiles of the Tibeto-Burman speakers of the Tibetan-Yi Corridor and the Guizhou province. Vast mountain ranges and rivers in Southwest China may have decelerated the westward expansion of the southeast coastal East Asians. Our results demonstrate the complex genetic profile in the Guizhou region in Southwest China and support the multiple waves of human migration in the southern area of East Asia.
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Affiliation(s)
- Jinwen Chen
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Rui Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jing Chen
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jing Zhao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China
| | - Guanglin He
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China
| | - Jianxin Guo
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China
| | - Kongyang Zhu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China
| | - Xiaomin Yang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China
| | - Hao Ma
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China.
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China.
- Department of Anthropology and Human Genetics, Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China.
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, 361102, China.
- Institute of Artificial Intelligence, Xiamen University, Xiamen, 361005, Fujian, China.
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China.
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Tanigawa Y, Kellis M. Power of inclusion: Enhancing polygenic prediction with admixed individuals. Am J Hum Genet 2023; 110:1888-1902. [PMID: 37890495 PMCID: PMC10645553 DOI: 10.1016/j.ajhg.2023.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 09/22/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023] Open
Abstract
Admixed individuals offer unique opportunities for addressing limited transferability in polygenic scores (PGSs), given the substantial trans-ancestry genetic correlation in many complex traits. However, they are rarely considered in PGS training, given the challenges in representing ancestry-matched linkage-disequilibrium reference panels for admixed individuals. Here we present inclusive PGS (iPGS), which captures ancestry-shared genetic effects by finding the exact solution for penalized regression on individual-level data and is thus naturally applicable to admixed individuals. We validate our approach in a simulation study across 33 configurations with varying heritability, polygenicity, and ancestry composition in the training set. When iPGS is applied to n = 237,055 ancestry-diverse individuals in the UK Biobank, it shows the greatest improvements in Africans by 48.9% on average across 60 quantitative traits and up to 50-fold improvements for some traits (neutrophil count, R2 = 0.058) over the baseline model trained on the same number of European individuals. When we allowed iPGS to use n = 284,661 individuals, we observed an average improvement of 60.8% for African, 11.6% for South Asian, 7.3% for non-British White, 4.8% for White British, and 17.8% for the other individuals. We further developed iPGS+refit to jointly model the ancestry-shared and -dependent genetic effects when heterogeneous genetic associations were present. For neutrophil count, for example, iPGS+refit showed the highest predictive performance in the African group (R2 = 0.115), which exceeds the best predictive performance for the White British group (R2 = 0.090 in the iPGS model), even though only 1.49% of individuals used in the iPGS training are of African ancestry. Our results indicate the power of including diverse individuals for developing more equitable PGS models.
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Affiliation(s)
- Yosuke Tanigawa
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Manolis Kellis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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Magavern EF, Durrani F, Raza M, Lerner R, Islam MR, Clinch M, Caulfield MJ. British South Asian ancestry participants views of pharmacogenomics clinical implementation and research: a thematic analysis. Pharmacogenomics J 2023; 23:185-194. [PMID: 37907686 PMCID: PMC10661738 DOI: 10.1038/s41397-023-00317-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 11/02/2023]
Abstract
BACKGROUND South Asian ancestry populations are underrepresented in genomic studies and therapeutics trials. British South Asians suffer from multi-morbidity leading to polypharmacy. Our objective was to elucidate British South Asian ancestry community perspectives on pharmacogenomic implementation and sharing pharmacogenomic clinical data for research. METHODS Four focus groups were conducted (9-12 participants in each). Two groups were mixed gender, while one group was male only and one was female only. Simultaneous interpretation was available to participants in Urdu and Bengali. Focus groups were recorded and abridged transcription and thematic analysis were undertaken. RESULTS There were 42 participants, 64% female. 26% were born in the UK or Europe. 52% were born in Bangladesh and 17% in Pakistan. 36% reported university level education. Implementation of pharmacogenomics was perceived to be beneficial to individuals but pose a risk of overburdening resource limited systems. Pharmacogenomic research was perceived to be beneficial to the community, with concerns about data privacy and misuse. Data sharing was desirable if the researchers did not have a financial stake, and benefits would be shared. Trust was the key condition for the acceptability of both clinical implementation and research. Trust was linked with medication compliance. Education, outreach, and communication facilitate trust. CONCLUSIONS (SIGNIFICANCE AND IMPACT OF THE STUDY) Pharmacogenomics implementation with appropriate education and communication has the potential to enhance trust and contribute to increased medication compliance. Trust drives data sharing, which would enable enhanced representation in research. Representation in scientific evidence base could cyclically enhance trust and compliance.
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Grants
- Wellcome Trust
- This work forms part of the portfolio and was funded by the National Institute for Health Research Barts Biomedical Research Centre. EFM is funded by Barts Charity. Genes & Health is/has recently been core-funded by Wellcome (WT102627, WT210561), the Medical Research Council (UK) (M009017, MR/X009777/1, MR/X009920/1), Higher Education Funding Council for England Catalyst, Barts Charity (845/1796), Health Data Research UK (for London substantive site), and research delivery support from the NHS National Institute for Health Research Clinical Research Network (North Thames). Genes & Health is/has recently been funded by Alnylam Pharmaceuticals, Genomics PLC; and a Life Sciences Industry Consortium of Astra Zeneca PLC, Bristol-Myers Squibb Company, GlaxoSmithKline Research and Development Limited, Maze Therapeutics Inc, Merck Sharp & Dohme LLC, Novo Nordisk A/S, Pfizer Inc, Takeda Development Centre Americas Inc. We thank Social Action for Health, Centre of The Cell, members of our Community Advisory Group, and staff who have recruited and collected data from volunteers. We thank the NIHR National Biosample Centre (UK Biocentre), the Social Genetic & Developmental Psychiatry Centre (King’ College London), Wellcome Sanger Institute, and Broad Institute for sample processing, genotyping, sequencing and variant annotation.
- Genes & Health is/has recently been core-funded by Wellcome (WT102627, WT210561), the Medical Research Council (UK) (M009017, MR/X009777/1, MR/X009920/1), Higher Education Funding Council for England Catalyst, Barts Charity (845/1796), Health Data Research UK (for London substantive site), and research delivery support from the NHS National Institute for Health Research Clinical Research Network (North Thames). Genes & Health is/has recently been funded by Alnylam Pharmaceuticals, Genomics PLC; and a Life Sciences Industry Consortium of Astra Zeneca PLC, Bristol-Myers Squibb Company, GlaxoSmithKline Research and Development Limited, Maze Therapeutics Inc, Merck Sharp & Dohme LLC, Novo Nordisk A/S, Pfizer Inc, Takeda Development Centre Americas Inc. We thank Social Action for Health, Centre of The Cell, members of our Community Advisory Group, and staff who have recruited and collected data from volunteers. We thank the NIHR National Biosample Centre (UK Biocentre), the Social Genetic & Developmental Psychiatry Centre (King’ College London), Wellcome Sanger Institute, and Broad Institute for sample processing, genotyping, sequencing and variant annotation.
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Affiliation(s)
- Emma F Magavern
- William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Faiza Durrani
- Genes & Health, Blizard Institute, Queen Mary University of London, London, E1 2AB, UK
| | - Mehru Raza
- Genes & Health, Blizard Institute, Queen Mary University of London, London, E1 2AB, UK
| | - Robin Lerner
- Genes & Health, Blizard Institute, Queen Mary University of London, London, E1 2AB, UK
| | | | - Megan Clinch
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Mark J Caulfield
- William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
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Bai XH, Su J, Mu YY, Zhang XQ, Li HZ, He XF, He XF. Association between the ESR1 and ESR2 polymorphisms and osteoporosis risk: An updated meta-analysis. Medicine (Baltimore) 2023; 102:e35461. [PMID: 37832086 PMCID: PMC10578747 DOI: 10.1097/md.0000000000035461] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 09/12/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Gene polymorphisms of estrogen receptor (ESR) 1 PvuII (rs2234693), XbaI (rs9340799), G2014A (rs2228480), ESR2 AluI (rs4986938), and RsaI (rs1256049) had been reported to be associated with the risk of osteoporosis. However, these conclusions were inconsistent, therefore, an updated meta-analysis was conducted to further explore these issues. OBJECTIVE To evaluate the association between gene polymorphisms of ESR1 PvuII (rs2234693), XbaI (rs9340799), G2014A (rs2228480), ESR2 AluI (rs4986938), RsaI (rs1256049), and osteoporosis risk. MATERIALS AND METHODS PubMed, Medline, Ovid, Embase, CNKI, and China Wanfang databases were searched. Association was assessed using odds ratio with 95% confidence interval. Moreover, the false-positive reporting probability, Bayesian false-finding probability, and Venetian criteria were used to assess the credibility of statistically significant associations. RESULTS Overall, ESR1 PvuII (rs2234693) and XbaI (rs9340799) were associated with the risk of osteoporosis in Indians. Moreover, ESR1 G2014A (rs2228480) was associated with the decreased risk of osteoporosis in East Asians. Moreover, ESR2 Alul (rs4986938) was associated with the increased risk of osteoporosis in East Asians and Caucasians. There was a significant association between ESR2 Rsal (rs1256049) and osteoporosis risk in overall population. When only high-quality and Hardy-Weinberg equilibrium studies were included in the sensitivity analysis, all results did not change in the present study. When the credibility was evaluated applying false-positive reporting probability, Bayesian false-finding probability, and Venetian criteria, all significant associations were considered as false positive results. CONCLUSIONS In summary, this study shows that all substantial associations between gene polymorphisms of ESR1 (PvuII, XbaI, and G2014A) and ESR 2 (AluI and RsaI) and osteoporosis risk are possibly false positive results instead of real associations or biological variables.
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Affiliation(s)
- Xiao-Hui Bai
- Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China
| | - Jiao Su
- Department of Biochemistry, Changzhi Medical College, Changzhi, China
| | - Yi-Yang Mu
- Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China
| | - Xi-Qin Zhang
- Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China
| | - Hong-Zhuo Li
- Department of Orthopaedics, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China
| | - Xiao-Feng He
- Institute of Evidence-Based Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China
| | - Xiao-Feng He
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
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Yu J, Xu M, Ding L, Huang Y, Guo H, He Y. [Analysis of clinical characteristics and genetic variants in two children with Limb-girdle muscular dystrophy autosomal recessive 9 FKRP-related]. Zhonghua Yi Xue Yi Chuan Xue Za Zhi 2023; 40:1217-1221. [PMID: 37730220 DOI: 10.3760/cma.j.cn511374-20220929-00657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
OBJECTIVE To explore the correlation between clinical manifestations of Limb-girdle muscular dystrophy autosomal recessive 9 FKRP-related (R9 FKRP-related) and variants of the FKRP gene. METHODS Two children who had presented at the Children's Hospital of Nanjing Medical University respectively due to increased serum myocardial zymogram and hepatic dysfunction on September 30, 2018 and August 3, 2018 were selected as the study subjects. Clinical data of the children were collected. Both children were suspected for Duchenne or Becker muscular dystrophy for asymptomatic high creatine kinase (CK) levels. Peripheral blood samples of the children and their parents were collected for whole exome sequencing, and candidate variants were validated by Sanger sequencing. RESULTS Genetic testing revealed that both children have carried compound heterozygous variants of the FKRP gene. The c.545A>G and c.941C>T variants in child 1 have been reported previously, among which the c.545A>G is a hot spot mutation in the Chinese population. Child 2 has carried c.602T>C and c.961G>A variants, both of which were unreported previously. CONCLUSION Both children have met the diagnostic criteria for LGMD R9 FKRP-related. Carriers of the c.545A>G variant may present milder symptoms. Compared with patients carrying null variants, carriers of compound heterozygous missense variants may present with a milder phenotype, manifesting as asymptomatic high CK level.
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Affiliation(s)
- Jie Yu
- Department of Neurology, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu 210008, China.
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Wang L, Wang XD, Yang B, Wang XM, Peng YQ, Tan HJ, Xiao HM. Novel SETBP1 mutation in a chinese family with intellectual disability. BMC Med Genomics 2023; 16:233. [PMID: 37798664 PMCID: PMC10552191 DOI: 10.1186/s12920-023-01649-x] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 08/28/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Intellectual disability (ID) is characterized by an IQ < 70, which implies below-average intellectual function and a lack of skills necessary for daily living. ID may occur due to multiple causes, such as metabolic, infectious, and chromosomal causes. ID affects approximately 1-3% of the population; however, the cause can be identified in only 25% of clinical patients. METHODS To find the cause of genetic ID in a family, we performed whole-exome sequencing and Sanger sequencing to confirm the presence of a SETBP1 variant and real-time quantitative polymerase chain reaction to detect SETBP1 expression in the proband and normal controls. RESULTS A novel variant, c.942_943insGT (p. Asp316TrpfsTer28), was found in SETBP1. Furthermore, we observed that SETBP1 expression in patients was only 20% that of normal controls (P < 0.05). CONCLUSION A heterozygous variant in SETBP1 associated with ID was found. This report provides further evidence for its genetic basis and support for clinical genetic diagnosis.
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Affiliation(s)
- Le Wang
- School of Basic Medical Science, Hunan University of Medicine, Huaihua, Hunan, China
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Xu-Dong Wang
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Bo Yang
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Xue-Meng Wang
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Yu-Qian Peng
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Hang-Jing Tan
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Hong-Mei Xiao
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.
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Ge X, Lu Y, Chen S, Gao Y, Ma L, Liu L, Liu J, Ma X, Kang L, Xu S. Genetic Origins and Adaptive Evolution of the Deng People on the Tibetan Plateau. Mol Biol Evol 2023; 40:msad205. [PMID: 37713634 PMCID: PMC10584363 DOI: 10.1093/molbev/msad205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/01/2023] [Accepted: 08/30/2023] [Indexed: 09/17/2023] Open
Abstract
The Tibetan Plateau is populated by diverse ethnic groups, but most of them are underrepresented in genomics studies compared with the Tibetans (TIB). Here, to gain further insight into the genetic diversity and evolutionary history of the people living in the Tibetan Plateau, we sequenced 54 whole genomes of the Deng people with high coverage (30-60×) and analyzed the data together with that of TIB and Sherpas, as well as 968 ancient Asian genomes and available archaic and modern human data. We identified 17.74 million novel single-nucleotide variants from the newly sequenced genomes, although the Deng people showed reduced genomic diversity and a relatively small effective population size. Compared with the other Tibetan highlander groups which are highly admixed, the Deng people are dominated by a sole ancestry that could be traced to some ancient northern East Asian populations. The divergence between Deng and Tibetan people (∼4,700-7,200 years) was more recent than that between highlanders and the Han Chinese (Deng-HAN, ∼9,000-14,000 years; TIB-HAN, 7,200-10,000 years). Adaptive genetic variants (AGVs) identified in the Deng are only partially shared with those previously reported in the TIB like HLA-DQB1, whereas others like KLHL12 were not reported in TIB. In contrast, the top candidate genes harboring AGVs as previously identified in TIB, like EPAS1 and EGLN1, do not show strong positive selection signals in Deng. Interestingly, Deng also showed a different archaic introgression scenario from that observed in the TIB. Our results suggest that convergent adaptation might be prevalent on the Tibetan Plateau.
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Affiliation(s)
- Xueling Ge
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yan Lu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China
| | - Shuanghui Chen
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Yang Gao
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China
| | - Lifeng Ma
- Key Laboratory of High-Altitude Environment and Genes Related to Disease of Tibet Ministry of Education, Xizang Minzu University, Xianyang, Shaanxi, China
- Research Center for Tibetan Social Governance, Key Research Institute of Humanities and Social Sciences in Xizang Minzu University, State Ethnic Affairs Commission, Xizang Minzu University, Xianyang, Shaanxi, China
| | - Lijun Liu
- Key Laboratory of High-Altitude Environment and Genes Related to Disease of Tibet Ministry of Education, Xizang Minzu University, Xianyang, Shaanxi, China
- Research Center for Tibetan Social Governance, Key Research Institute of Humanities and Social Sciences in Xizang Minzu University, State Ethnic Affairs Commission, Xizang Minzu University, Xianyang, Shaanxi, China
| | - Jiaojiao Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China
| | - Xixian Ma
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Longli Kang
- Key Laboratory of High-Altitude Environment and Genes Related to Disease of Tibet Ministry of Education, Xizang Minzu University, Xianyang, Shaanxi, China
- Research Center for Tibetan Social Governance, Key Research Institute of Humanities and Social Sciences in Xizang Minzu University, State Ethnic Affairs Commission, Xizang Minzu University, Xianyang, Shaanxi, China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China
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Liu X, Matsunami M, Horikoshi M, Ito S, Ishikawa Y, Suzuki K, Momozawa Y, Niida S, Kimura R, Ozaki K, Maeda S, Imamura M, Terao C. Natural Selection Signatures in the Hondo and Ryukyu Japanese Subpopulations. Mol Biol Evol 2023; 40:msad231. [PMID: 37903429 PMCID: PMC10615566 DOI: 10.1093/molbev/msad231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 09/20/2023] [Accepted: 10/06/2023] [Indexed: 11/01/2023] Open
Abstract
Natural selection signatures across Japanese subpopulations are under-explored. Here we conducted genome-wide selection scans with 622,926 single nucleotide polymorphisms for 20,366 Japanese individuals, who were recruited from the main-islands of Japanese Archipelago (Hondo) and the Ryukyu Archipelago (Ryukyu), representing two major Japanese subpopulations. The integrated haplotype score (iHS) analysis identified several signals in one or both subpopulations. We found a novel candidate locus at IKZF2, especially in Ryukyu. Significant signals were observed in the major histocompatibility complex region in both subpopulations. The lead variants differed and demonstrated substantial allele frequency differences between Hondo and Ryukyu. The lead variant in Hondo tags HLA-A*33:03-C*14:03-B*44:03-DRB1*13:02-DQB1*06:04-DPB1*04:01, a haplotype specific to Japanese and Korean. While in Ryukyu, the lead variant tags DRB1*15:01-DQB1*06:02, which had been recognized as a genetic risk factor for narcolepsy. In contrast, it is reported to confer protective effects against type 1 diabetes and human T lymphotropic virus type 1-associated myelopathy/tropical spastic paraparesis. The FastSMC analysis identified 8 loci potentially affected by selection within the past 20-150 generations, including 2 novel candidate loci. The analysis also showed differences in selection patterns of ALDH2 between Hondo and Ryukyu, a gene recognized to be specifically targeted by selection in East Asian. In summary, our study provided insights into the selection signatures within the Japanese and nominated potential sources of selection pressure.
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Affiliation(s)
- Xiaoxi Liu
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
| | - Masatoshi Matsunami
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara-Cho, Japan
| | - Momoko Horikoshi
- Laboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shuji Ito
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yuki Ishikawa
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kunihiko Suzuki
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shumpei Niida
- Core Facility Administration, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Ryosuke Kimura
- Department of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, Nishihara-Cho, Japan
| | - Kouichi Ozaki
- Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Shiro Maeda
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara-Cho, Japan
- Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Okinawa, Japan
| | - Minako Imamura
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara-Cho, Japan
- Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Okinawa, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- The Department of Applied Genetics, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
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Mishra S, Nair KV, Shukla A. Delineation of molecular characteristics of congenital myasthenic syndromes in Indian families and review of literature. Clin Dysmorphol 2023; 32:162-167. [PMID: 37646703 DOI: 10.1097/mcd.0000000000000465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Congenital myasthenic syndromes (CMS) are rare, heterogeneous, and often treatable genetic disorders depending on the underlying molecular defect. We performed a detailed clinical evaluation of seven patients from five unrelated families. Exome sequencing was performed on five index patients. Clinically significant variants were identified in four CMS disease-causing genes: COLQ (3/7), CHRNE (2/7), DOK7 (1/7), and RAPSN (1/7). We identified two novel variants, c.930_933delCATG in DOK7 and c.1016_1032 + 2dup in CHRNE . A common pathogenic variant, c.955-2A>C, has been identified in COLQ -related CMS patients. Homozygosity mapping of this COLQ variant in patients from two unrelated families revealed that it was located in a common homozygous region of 3.2 Mb on chromosome 3 and was likely to be inherited from a common ancestor. Patients with COLQ variants had generalized muscle weakness, those with DOK7 and RAPSN variants had limb-girdle weakness, and those with CHRNE variants had predominant ocular weakness. Patients with COLQ and DOK7 variants showed improvement with salbutamol and CHRNE with pyridostigmine therapy. This study expands the mutational spectrum and adds a small but significant cohort of CMS patients from India. We also reviewed the literature to identify genetic subtypes of CMS in India.
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Affiliation(s)
- Shivani Mishra
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Zhong YP, Quan ZR, He LM, Zou HY. The novel HLA-B*13:179 variant detected by next generation sequencing in a Chinese individual. HLA 2023; 102:519-521. [PMID: 37431702 DOI: 10.1111/tan.15153] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/12/2023]
Abstract
HLA-B*13:179 differs from HLA-B*13:99 by one nucleotide substitution at position 829(A>G) in exon 4.
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Affiliation(s)
- Yan-Ping Zhong
- Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Zhan-Rou Quan
- Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Liu-Mei He
- Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Hong-Yan Zou
- Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong, China
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Zhao B, Jiang Q, Lin J, Wei Q, Li C, Hou Y, Cao B, Zhang L, Ou R, Liu K, Yang T, Xiao Y, Shang H. TBK1 variants in Chinese patients with amyotrophic lateral sclerosis: Genetic analysis and clinical features. Eur J Neurol 2023; 30:3079-3089. [PMID: 37422901 DOI: 10.1111/ene.15973] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 03/09/2023] [Accepted: 07/04/2023] [Indexed: 07/11/2023]
Abstract
BACKGROUND AND PURPOSE Haploinsufficiency of TANK-binding kinase 1 (TBK1) loss-of-function (LoF) variants has been shown to be pathogenic in amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). However, the genetic spectrum of TBK1 and clinical features of ALS patients with TBK1 variants remain largely unknown in Asians. METHODS Genetic analysis was performed on 2011 Chinese ALS patients. Software was used to predict the deleteriousness of missense variants in TBK1. In addition, PubMed, Embase and Web of Science were searched for related literature. RESULTS Twenty-six TBK1 variants were identified in 33 of 2011 ALS patients, including six novel LoF variants (0.3%) and 20 rare missense variants, 12 of which were predicted to be deleterious (0.6%). In addition to TBK1 variants, 11 patients had other ALS-related gene variants. Forty-two previous studies found that the frequency of TBK1 variants was 1.81% in ALS/FTD patients. The frequency of TBK1 LoF variants in ALS was 0.5% (Asians 0.4%; Caucasian 0.6%) and that of missense variants was 0.8% (Asians 1.0%; Caucasian 0.8%). ALS patients with TBK1 LoF variants affecting the kinase domain had a significantly younger age of onset than patients carrying LoF variants affecting the coiled coil domains CCD1 and CCD2. FTD has a frequency of 10% in Caucasian ALS patients with TBK1 LoF variants, which was not found in our cohort. CONCLUSION Our study expanded the genotypic spectrum of ALS patients with TBK1 variants and found that the clinical manifestations of TBK1 carriers are diverse.
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Affiliation(s)
- Bi Zhao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Qirui Jiang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Junyu Lin
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Qianqian Wei
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Chunyu Li
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Yanbing Hou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Bei Cao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Lingyu Zhang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Ruwei Ou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Kuncheng Liu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Tianmi Yang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Xiao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, China
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Kim MJ, Kim B, Lee H, Lee JS, Chae SW, Shin HS, Cho SI, Kim SY, Moon J, Lim BC, Ko JM, Chae JH, Park SS, Seong MW. The Korean Genetic Diagnosis Program for Rare Disease Phase II: outcomes of a 6-year national project. Eur J Hum Genet 2023; 31:1147-1153. [PMID: 37414863 PMCID: PMC10545669 DOI: 10.1038/s41431-023-01415-8] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/28/2023] [Accepted: 06/16/2023] [Indexed: 07/08/2023] Open
Abstract
The Korean Genetic Diagnosis Program for Rare Disease (KGDP) enrolled 1890 patients with rare diseases between March 2017 and October 2022. Children and adolescents accounted for the majority of the patients, and systemic disease was the most common presenting symptom. The exome-based virtual disease-specific multigene panel was the most frequently used analytical method, with an overall diagnostic yield of 33.3%. A total of 629 positive cases were diagnosed, involving 297 genes. All 297 genes identified in these cases were confirmed to be known genes listed in the OMIM database. The nationwide KGDP network and its cooperation with the Korean Undiagnosed Diseases Program (KUDP) provide a more comprehensive genetic analysis of undiagnosed cases. The partnership between the KGDP and KUDP has the potential to improve the diagnosis and treatment options for patients. In conclusion, KGDP serves as the primary access point or gateway to KUDP.
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Affiliation(s)
- Man Jin Kim
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Korea
| | - Boram Kim
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Heerah Lee
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jee-Soo Lee
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Won Chae
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Ho Seob Shin
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Sung Im Cho
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Soo Yeon Kim
- Department of Pediatrics, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jangsup Moon
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Korea
| | - Byung Chan Lim
- Department of Pediatrics, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jung Min Ko
- Department of Pediatrics, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jong-Hee Chae
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Pediatrics, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Sung Sup Park
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Moon-Woo Seong
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
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Pauline R, Devaraj DV, Sivasubramanian J, Velmurugan S, Stephen SB, Yasam SK, Kulanthaivel L, Subbaraj GK. Systemic assessment of solute carrier family 11-member A1 (rs17235409) gene polymorphism and Mycobacterium Tuberculosis Risk in Asian and caucasian population: A comprehensive updated meta-analysis. Int J Mycobacteriol 2023; 12:467-477. [PMID: 38149545 DOI: 10.4103/ijmy.ijmy_180_23] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023] Open
Abstract
Background The present meta-analysis was assessed to confirm the association between solute carrier family 11-member A1 (SLC11A1) gene (rs17235409) polymorphism with the Mycobacterium tuberculosis infection in the Asian and Caucasian populations. Methods A search was conducted using the databases including Google Scholar, Science Direct, Embase, and PubMed to find the case-control studies related to SLC11A1 gene polymorphism and tuberculosis (TB) infection. The MetaGenyo programme was used to perform statistical analyses of the data. The odds ratio and 95% confidence interval were calculated based on genetic models such as allelic model, dominant model, recessive model, and overdominant. The heterogeneity and publication bias for the present study were examined to assess its quality. The study was registered in PROSPERO (ID Number: 461434). Results This current study revealed the association between the SLC11A1 gene polymorphism with TB. The statistical value obtained at P < 0.05 was deemed to be statistically significant. The meta-analysis results revealed that allele contrast and recessive models are significant association between SLC11A1 gene polymorphism with risk of TB infections, and dominant and overdominant models have no significant association with TB risk. In addition, the subgroup analysis based on the ethnicity dominant revealed a significant association with the risk of TB. Therefore, this results that the gene SLC11A1 has a significant association for allelic and recessive and has no significant association for dominant and overdominant with the risk of TB. Conclusion According to the data retrieved from the database with respect to the present study revealed that SLC11A1 gene polymorphism rs17235409 for allelic, recessive models have been associated with TB infections, but dominant and overdominant models have not been associated with TB infections.
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Affiliation(s)
- Rashmi Pauline
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
| | - Danis Vijay Devaraj
- Department of Microbiology, Karpaga Vinayaga Institute of Medical Sciences and Research Centre, Mathuranthagam, Tamil Nadu, India
| | - Jayanthi Sivasubramanian
- Department of Microbiology, Panimalar Medical College Hospital and Research Institute, Chennai, Tamil Nadu, India
| | - Saranya Velmurugan
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
| | - Sharon Benita Stephen
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
| | - Santhosh Kumar Yasam
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
| | - Langeswaran Kulanthaivel
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
| | - Gowtham Kumar Subbaraj
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
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He L, Zou H. Characterization of a novel variant allele, HLA-B*56:04:05, identified in a Chinese Han individual. HLA 2023; 102:531-532. [PMID: 37339910 DOI: 10.1111/tan.15136] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 05/29/2023] [Accepted: 06/02/2023] [Indexed: 06/22/2023]
Abstract
The novel HLA-B *56:04:05 allele differs from its most closely related allele B*56:04:01:01 in exon 4.
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Affiliation(s)
- Liumei He
- Immunogenetics Laboratory, Shenzhen Institution of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, China
| | - Hongyan Zou
- Immunogenetics Laboratory, Shenzhen Institution of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, China
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Yang C, Zhou Y, Song Y, Wu D, Zeng Y, Nie L, Liu P, Zhang S, Chen G, Xu J, Zhou H, Zhou L, Qian X, Liu C, Tan S, Zhou C, Dai W, Xu M, Qi Y, Wang X, Guo L, Fan G, Wang A, Deng Y, Zhang Y, Jin J, He Y, Guo C, Guo G, Zhou Q, Xu X, Yang H, Wang J, Xu S, Mao Y, Jin X, Ruan J, Zhang G. The complete and fully-phased diploid genome of a male Han Chinese. Cell Res 2023; 33:745-761. [PMID: 37452091 PMCID: PMC10542383 DOI: 10.1038/s41422-023-00849-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 06/29/2023] [Indexed: 07/18/2023] Open
Abstract
Since the release of the complete human genome, the priority of human genomic study has now been shifting towards closing gaps in ethnic diversity. Here, we present a fully phased and well-annotated diploid human genome from a Han Chinese male individual (CN1), in which the assemblies of both haploids achieve the telomere-to-telomere (T2T) level. Comparison of this diploid genome with the CHM13 haploid T2T genome revealed significant variations in the centromere. Outside the centromere, we discovered 11,413 structural variations, including numerous novel ones. We also detected thousands of CN1 alleles that have accumulated high substitution rates and a few that have been under positive selection in the East Asian population. Further, we found that CN1 outperforms CHM13 as a reference genome in mapping and variant calling for the East Asian population owing to the distinct structural variants of the two references. Comparison of SNP calling for a large cohort of 8869 Chinese genomes using CN1 and CHM13 as reference respectively showed that the reference bias profoundly impacts rare SNP calling, with nearly 2 million rare SNPs miss-called with different reference genomes. Finally, applying the CN1 as a reference, we discovered 5.80 Mb and 4.21 Mb putative introgression sequences from Neanderthal and Denisovan, respectively, including many East Asian specific ones undetected using CHM13 as the reference. Our analyses reveal the advances of using CN1 as a reference for population genomic studies and paleo-genomic studies. This complete genome will serve as an alternative reference for future genomic studies on the East Asian population.
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Affiliation(s)
- Chentao Yang
- Center for Genomic Research, International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
- Center for Evolutionary & Organismal Biology, & Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Yang Zhou
- BGI-Shenzhen, Shenzhen, Guangdong, China
- BGI Research-Wuhan, BGI, Wuhan, Hubei, China
| | - Yanni Song
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Dongya Wu
- Center for Genomic Research, International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
- Center for Evolutionary & Organismal Biology, & Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, Zhejiang, China
- Institute of Crop Science & Institute of Bioinformatics, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yan Zeng
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Lei Nie
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | | | - Shilong Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Guangji Chen
- BGI-Shenzhen, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jinjin Xu
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Hongling Zhou
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Long Zhou
- Center for Evolutionary & Organismal Biology, & Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, Zhejiang, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaobo Qian
- BGI-Shenzhen, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Chenlu Liu
- Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang, China
| | | | | | - Wei Dai
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Mengyang Xu
- BGI-Shenzhen, Shenzhen, Guangdong, China
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong, China
| | - Yanwei Qi
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong, China
| | - Xiaobo Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Lidong Guo
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong, China
| | - Guangyi Fan
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong, China
| | - Aijun Wang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong, China
| | - Yuan Deng
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Yong Zhang
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | | | - Yunqiu He
- Center for Genomic Research, International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
- Center for Evolutionary & Organismal Biology, & Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Chunxue Guo
- BGI-Shenzhen, Shenzhen, Guangdong, China
- BGI-Hangzhou, Hangzhou, Zhejiang, China
| | - Guoji Guo
- School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Qing Zhou
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, Zhejiang, China
- Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | | | - Jian Wang
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
- Jiangsu Key Laboratory of Phylogenomics & Comparative Genomics, International Joint Center of Genomics of Jiangsu Province School of Life Sciences, Jiangsu Normal University, Xuzhou, Jiangsu, China
- Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yafei Mao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Xin Jin
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Jue Ruan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China.
| | - Guojie Zhang
- Center for Genomic Research, International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China.
- Center for Evolutionary & Organismal Biology, & Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, Zhejiang, China.
- Innovation Center of Yangtze River Delta, Zhejiang University, Hangzhou, Zhejiang, China.
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
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Walia GK, Sharma P, Agarwal T, Lal M, Negandhi H, Prabhakaran D, Khadgawat R, Sachdeva MP, Gupta V. Genetic associations of TMEM154, PRC1 and ZFAND6 loci with type 2 diabetes in an endogamous business community of North India. PLoS One 2023; 18:e0291339. [PMID: 37738238 PMCID: PMC10516421 DOI: 10.1371/journal.pone.0291339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 08/27/2023] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND More than 250 loci have been identified by genome-wide scans for type 2 diabetes in different populations. South Asians have a very different manifestation of the diseases and hence role of these loci need to be investigated among Indians with huge burden of cardio-metabolic disorders. Thus the present study aims to validate the recently identified GWAS loci in an endogamous caste population in North India. METHODS 219 T2D cases and 184 controls were recruited from hospitals and genotyped for 15 GWAS loci of T2D. Regression models adjusted for covariates were run to examine the association for T2D and fasting glucose levels. RESULTS We validated three variants for T2D namely, rs11634397 at ZFAND6 (OR = 3.05, 95%CI = 1.02-9.19, p = 0.047) and rs8042680 at PRC1 (OR = 3.67, 95%CI = 1.13-11.93, p = 0.031) showing higher risk and rs6813195 at TMEM154 (OR = 0.28, 95%CI = 0.09-0.90, p = 0.033) showing protective effect. The combined risk of 9 directionally consistent variants was also found to be significantly associated with T2D (OR = 1.91, 95%CI = 1.18-3.08, p = 0.008). One variant rs10842994 at KLHDC5 was validated for 9.15mg/dl decreased fasting glucose levels (SE = -17.25-1.05, p = 0.027). CONCLUSION We confirm the role of ZFAND6, PRC1 and TMEM154 in the pathophysiology of type 2 diabetes among Indians. More efforts are needed with larger sample sizes to validate the diabetes GWAS loci in South Asian populations for wider applicability.
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Affiliation(s)
- Gagandeep Kaur Walia
- Public Health Foundation of India, Gurugram, India
- Centre for Chronic Disease Control, Safdarjung Development Area, New Delhi, India
| | - Pratiksha Sharma
- Indian Institute of Public Health-Delhi, Public Health Foundation of India, Gurugram, India
| | - Tripti Agarwal
- Indian Institute of Public Health-Delhi, Public Health Foundation of India, Gurugram, India
| | - Moti Lal
- Department of Anthropology, University of Delhi, Delhi, India
| | | | - Dorairaj Prabhakaran
- Public Health Foundation of India, Gurugram, India
- Centre for Chronic Disease Control, Safdarjung Development Area, New Delhi, India
| | - Rajesh Khadgawat
- Department of Endocrinology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | | | - Vipin Gupta
- Department of Anthropology, University of Delhi, Delhi, India
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Woravatin W, Stoneking M, Srikummool M, Kampuansai J, Arias L, Kutanan W. South Asian maternal and paternal lineages in southern Thailand and the role of sex-biased admixture. PLoS One 2023; 18:e0291547. [PMID: 37708147 PMCID: PMC10501589 DOI: 10.1371/journal.pone.0291547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 08/31/2023] [Indexed: 09/16/2023] Open
Abstract
Previous genome-wide studies have reported South Asian (SA) ancestry in several Mainland Southeast Asian (MSEA) populations; however, additional details concerning population history, in particular the role of sex-specific aspects of the SA admixture in MSEA populations can be addressed with uniparental markers. Here, we generated ∼2.3 mB sequences of the male-specific portions of the Y chromosome (MSY) of a Tai-Kadai (TK)-speaking Southern Thai group (SouthernThai_TK), and complete mitochondrial (mtDNA) genomes of the SouthernThai_TK and an Austronesian (AN)-speaking Southern Thai (SouthernThai_AN) group. We identified new mtDNA haplogroups, e.g. Q3, E1a1a1, B4a1a and M7c1c3 that have not previously reported in Thai populations, but are frequent in Island Southeast Asia and Oceania, suggesting interactions between MSEA and these regions. SA prevalent mtDNA haplogroups were observed at frequencies of ~35-45% in the Southern Thai groups; both of them showed more genetic relatedness to Austroasiatic (AA) speaking Mon than to any other group. For MSY, SouthernThai_TK had ~35% SA prevalent haplogroups and exhibited closer genetic affinity to Central Thais. We also analyzed published data from other MSEA populations and observed SA ancestry in some additional MSEA populations that also reflects sex-biased admixture; in general, most AA- and AN-speaking groups in MSEA were closer to SA than to TK groups based on mtDNA, but the opposite pattern was observed for the MSY. Overall, our results of new genetic lineages and sex-biased admixture from SA to MSEA groups attest to the additional value that uniparental markers can add to studies of genome-wide variation.
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Affiliation(s)
- Wipada Woravatin
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Biométrie et Biologie Évolutive, UMR 5558, CNRS & Université de Lyon, Lyon, France
| | - Metawee Srikummool
- Department of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand
| | - Jatupol Kampuansai
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
- Research Center in Bioresources for Agriculture, Industry and Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Leonardo Arias
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Centre for Linguistics, Faculty of Humanities, Leiden University, Leiden, The Netherlands
| | - Wibhu Kutanan
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
- Department of Biology, Faculty of Science, Naresuan University, Phitsanulok, Thailand
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Hu L, Huang S, Huang Q, Huang J, Feng Z, He G. Population pharmacokinetics of voriconazole and the role of CYP2C19 genotype on treatment optimization in pediatric patients. PLoS One 2023; 18:e0288794. [PMID: 37695751 PMCID: PMC10495004 DOI: 10.1371/journal.pone.0288794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 07/04/2023] [Indexed: 09/13/2023] Open
Abstract
The aim of this study was to evaluate factors that impact on voriconazole (VRC) population pharmacokinetic (PPK) parameters and explore the optimal dosing regimen for different CYP2C19 genotypes in Chinese paediatric patients. PPK analysis was used to identify the factors contributing to the variability in VRC plasma trough concentrations. A total of 210 VRC trough concentrations from 91 paediatric patients were included in the study. The median VRC trough concentration was 1.23 mg/L (range, 0.02 to 8.58 mg/L). At the measurement of all the trough concentrations, the target range (1.0~5.5 mg/L) was achieved in 52.9% of the patients, while subtherapeutic and supratherapeutic concentrations were obtained in 40.9% and 6.2% of patients, respectively. VRC trough concentrations were adjusted for dose (Ctrough/D), with normal metabolizers (NMs) and intermediate metabolizers (IMs) having significantly lower levels than poor metabolizers (PMs) (PN-P < 0.001, PI-P = 0.039). A one-compartment model with first-order absorption and elimination was suitable to describe the VRC pharmacokinetic characteristics. The final model of VRC PPK analysis contained CYP2C19 phenotype as a significant covariate for clearance. Dose simulations suggested that a maintenance dose of 9 mg/kg orally or 8 mg/kg intravenously twice daily was appropriate for NMs to achieve the target concentration. A maintenance dose of 9 mg/kg orally or 5 mg/kg intravenously twice daily was appropriate for IMs. Meanwhile, PMs could use lower maintenance dose and an oral dose of 6 mg/kg twice daily or an intravenous dose of 5mg/kg twice daily was appropriate. To increase the probability of achieving the therapeutic range and improving efficacy, CYP2C19 phenotype can be used to predict VRC trough concentrations and guide dose adjustments in Chinese pediatric patients.
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Affiliation(s)
- Lin Hu
- Department of Pharmacy, The First Hospital of Changsha, Changsha, Hunan, China
| | - Shiqiong Huang
- Department of Pharmacy, The First Hospital of Changsha, Changsha, Hunan, China
| | - Qi Huang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Juanjuan Huang
- Department of Pharmacy, The First Hospital of Changsha, Changsha, Hunan, China
| | - Zeying Feng
- Clinical Trial Institution Office, Liuzhou Hospital of Guangzhou Women and Children’s Medical Center, Liuzhou, Guangxi, China
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Gefei He
- Department of Pharmacy, The First Hospital of Changsha, Changsha, Hunan, China
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Song Y, Lee D, Choi J, Lee JW, Hong K. Genome-wide association and replication studies for handedness in a Korean community-based cohort. Brain Behav 2023; 13:e3121. [PMID: 37337823 PMCID: PMC10498080 DOI: 10.1002/brb3.3121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 06/21/2023] Open
Abstract
INTRODUCTION Handedness is a conspicuous characteristic in human behavior, with a worldwide proportion of approximately 90% of people preferring to use the right hand for many tasks. In the Korean population, the proportion of left-handedness is relatively low at approximately 7%-10%, similar to that in other East-Asian cultures in which the use of the left hand for writing and other public activities has historically been oppressed. METHODS In this study, we conducted two genome-wide association studies (GWASs) between right-handedness and left-handedness, and between right-handedness and ambidexterity using logistic regression analyses using a Korean community-based cohort. We also performed association analyses with previously reported variants and our findings. RESULTS A total of 8806 participants were included for analysis, and the results identified 28 left-handedness-associated and 15 ambidexterity-associated loci; of these, two left-handedness loci (NEIL3 [rs11726465] and SVOPL [rs117495448]) and one ambidexterity locus (PDE8B/WDR41 [rs118077080]) showed near genome-wide significance. Association analyses with previously reported variants replicated ANKS1B (rs7132513) in left-handedness and ANKIB1 (rs2040498) in ambidexterity. CONCLUSION The variants and positional candidate genes identified and replicated in this study were largely associated with brain development, cerebral asymmetry, neurological processes, and neuropsychiatric diseases in line with previous findings. As the first East-Asian GWAS related to handedness, these results may provide an intriguing reference for further human neurologic research in the future.
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Affiliation(s)
- Youhyun Song
- Department of Family MedicineGangnam Severance HospitalYonsei University College of MedicineSeoulSouth Korea
- Healthcare Research Team, Health Promotion CenterGangnam Severance HospitalYonsei University College of MedicineSeoulSouth Korea
| | - Dasom Lee
- Theragen Bio Co. Ltd.Gyeonggi‐doSouth Korea
| | | | - Ji Won Lee
- Department of Family MedicineSeverance HospitalYonsei University College of MedicineSeoulSouth Korea
- Institute for Innovation in Digital HealthcareYonsei UniversitySeoulSouth Korea
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Pasumarthi D, Ranganath P, Mandal K, Dhanya LN, Dalal A, Aggarwal S. Identification of three novel mutations in SLCO2A1 in Asian-Indians with Pachydermoperiostosis. Indian J Med Res 2023; 158:319-323. [PMID: 37861627 PMCID: PMC10720970 DOI: 10.4103/ijmr.ijmr_3353_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Indexed: 10/21/2023] Open
Affiliation(s)
- Divya Pasumarthi
- Diagnostics Division, Centre for DNA Fingerprinting and Diagnostics, Hyderabad 500 082, Telangana, India
| | - Priya Ranganath
- Department of Medical Genetics, Nizam’s Institute of Medical Sciences, Hyderabad 500 082, Telangana, India
| | - Kausik Mandal
- Department of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226 014, Uttar Pradesh, India
| | - Lakshmi N Dhanya
- Department of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226 014, Uttar Pradesh, India
| | - Ashwin Dalal
- Diagnostics Division, Centre for DNA Fingerprinting and Diagnostics, Hyderabad 500 082, Telangana, India
| | - Shagun Aggarwal
- Diagnostics Division, Centre for DNA Fingerprinting and Diagnostics, Hyderabad 500 082, Telangana, India
- Department of Medical Genetics, Nizam’s Institute of Medical Sciences, Hyderabad 500 082, Telangana, India
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Xiao C, Yang X, Yu Z, Wu W, Wang Y, Xu Q, Chen L. Genetic polymorphism and variability in the Guangdong Hakka, Teochew, and Cantonese groups: A comprehensive analysis of 19 X-STRs. Ann Hum Genet 2023; 87:232-240. [PMID: 37337755 DOI: 10.1111/ahg.12518] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 05/24/2023] [Accepted: 05/25/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND X chromosomeshort tandem repeat (X-STR) loci are playing an increasingly important role inforensic work, identifying female traces in male contamination and explainingcomplex kinship analyses. METHODS In this study, we analyzed thegenetic polymorphism of 19 X-STR loci in the Guangdong Hakka, Teochew and Cantonese groups, respectively, aswell as in the Guangdong Hakka, Teochew andCantonese pooled Han. The genetic diversity and forensic characteristics of the19 X-STRs and 7 linkage groups were investigated, respectively. RESULTS The experiments showed that the genetic diversity (GD) and polymorphism information content (PIC) in the pooledGuangdong Han ranged from 0.5320 to 0.9234 and 0.4369 to 0.9171, respectively, and the cumulative power of discrimination for males (PDM), power of discrimination for females (PDF) and mean paternity exclusion chance (MEC) were higher than 0.9999999, indicating that the 19 X-STRs had high geneticpolymorphism and discriminatory power. Genetic differences among Chinese Hansubgroups and among different Chinese populations were investigated byphylogenetic reconstruction and principal component analysis (PCA), respectively. Genetic analyses based on neighbor-joining (NJ) tree and principal component analysis plot showed that Cantonese, Teochew and Hakka were closely genetically related, and different populations with closer linguistic components had more genetic affinity. CONCLUSIONS This study adds to the forensic X-STR database and demonstrates the forensic efficiency of 19 X-STRs for the Hakka, Teochewand Cantonese populations in Guangdong, and the pooled Han of Hakka, Teochewand Cantonese people in Guangdong.
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Affiliation(s)
- Cheng Xiao
- Guangzhou Red Cross Hospital, Guangzhou, China
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Xingyi Yang
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Zhonghao Yu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Weibin Wu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Yuan Wang
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Quyi Xu
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Ling Chen
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
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Tang X, Liu G, Lin L, Xiao N, Chen Y. The recurrent WASF1 nonsense variant identified in two unaffected Chinese families with neurodevelopmental disorder: case report and review of the literatures. BMC Med Genomics 2023; 16:203. [PMID: 37641121 PMCID: PMC10464119 DOI: 10.1186/s12920-023-01630-8] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 08/11/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Neurodevelopmental disorder with absent language and variable seizures (NEDALVS, # 618707) are characterized by delayed speech and motor development, ocular abnormalities, and seizures. NEDAVLS is an autosomal dominant disorder caused by de novo mutations in the wasp protein family member 1 (WASF1) gene. CASE PRESENTATION We identified a de novo nonsense variant c.1516 C > T (p.Arg506*) of WASF1 gene (NM_003931.3) in two pediatric female patients with delayed motor and language development. CONCLUSION This case demonstrates the effective role of WES in the diagnosis of NEDALVS. To the best of our knowledge, this variant has not been reported in the Chinese population. This contributes to our further understanding of the disease and to research related to the genetic and clinical heterogeneity, the treatment and prognosis of the disease.
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Affiliation(s)
- Xiang Tang
- Department of Rehabilitation, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, P.R. China
- National Clinical Research Center for Child Health and Disorders, Chongqing, P.R. China
- China International Science and Technology Cooperation base of Child development and Critical Disorders, Chongqing, P.R. China
- Children's Hospital of Chongqing Medical University, Chongqing, P.R. China
- Chongqing Key Laboratory of Pediatric, Chongqing, P.R. China
| | - Guoqing Liu
- Department of Rehabilitation, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, P.R. China
- National Clinical Research Center for Child Health and Disorders, Chongqing, P.R. China
- China International Science and Technology Cooperation base of Child development and Critical Disorders, Chongqing, P.R. China
- Children's Hospital of Chongqing Medical University, Chongqing, P.R. China
- Chongqing Key Laboratory of Pediatric, Chongqing, P.R. China
| | - Li Lin
- Department of Rehabilitation, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, P.R. China
- National Clinical Research Center for Child Health and Disorders, Chongqing, P.R. China
- China International Science and Technology Cooperation base of Child development and Critical Disorders, Chongqing, P.R. China
- Children's Hospital of Chongqing Medical University, Chongqing, P.R. China
- Chongqing Key Laboratory of Pediatric, Chongqing, P.R. China
| | - Nong Xiao
- Department of Rehabilitation, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, P.R. China
- National Clinical Research Center for Child Health and Disorders, Chongqing, P.R. China
- China International Science and Technology Cooperation base of Child development and Critical Disorders, Chongqing, P.R. China
- Children's Hospital of Chongqing Medical University, Chongqing, P.R. China
- Chongqing Key Laboratory of Pediatric, Chongqing, P.R. China
| | - Yuxia Chen
- Department of Rehabilitation, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China.
- Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, P.R. China.
- National Clinical Research Center for Child Health and Disorders, Chongqing, P.R. China.
- China International Science and Technology Cooperation base of Child development and Critical Disorders, Chongqing, P.R. China.
- Children's Hospital of Chongqing Medical University, Chongqing, P.R. China.
- Chongqing Key Laboratory of Pediatric, Chongqing, P.R. China.
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Wang C, Zhang R. The effect of ITLN1, XCL2 and DOT1L variants on knee osteoarthritis risk in the Han population. Arch Orthop Trauma Surg 2023; 143:4821-4831. [PMID: 36773049 DOI: 10.1007/s00402-023-04799-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/22/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND Knee osteoarthritis (KOA) is a complex multifactorial disease, in which genetic factors account for 50% of the risk of osteoarthritis. This study investigated the association between ITLN1, XCL2 and DOT1L variants and KOA risk in the Han population. METHODS We applied Agena MassARRAY technology platform to genotype five single-nucleotide polymorphisms (SNPs) in 710 KOA patients and 709 controls. The correlation between ITLN1, XCL2 and DOT1L SNPs (rs2274908, rs4282797, rs4301615 and rs3815308) and KOA risk was calculated by logistic regression analysis, with odds ratio (OR) and 95% confidence intervals (CIs). Also, the relationship between genotypes at these different loci and clinical parameters (White blood cell, Eosinophil ratio, Neutrophil count, Eosinophil count, Monocyte ratio and Monocyte count) among patients and controls was analyzed. RESULTS In the overall results, rs2274908, rs4301615 and rs3815308 were correlated with KOA susceptibility. After gender stratification analysis, ITLN1 rs2274908 and XCL2 rs4301615 were related to an increased risk of KOA in males, and ITLN1 rs2274908 and DOT1L rs3815308 were related to an increased risk of KOA in females. After age stratification analysis, ITLN1 rs2274908 and XCL2 rs4301615 were correlated with an increased risk of KOA in people aged > 65 year old. After smoking stratification analysis and drinking stratification analysis, ITLN1 rs2274908, XCL2 rs4301615 and DOT1L rs3815308 were still associated with the risk of KOA. CONCLUSION In short, ITLN1 rs2274908, XCL2 rs4301615 and DOT1L rs3815308 were related to KOA risk in the Han population, which was helpful to clarify the pathogenesis of these sites in KOA.
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Affiliation(s)
- Cheng Wang
- Department of Massage, Traditional Chinese Medicine Hospital of Xinjiang Uygur Autonomous Region, No. 116, Huanghe Road, Urumqi, 830000, Xinjiang, China
| | - Ruichun Zhang
- Department of Massage, Traditional Chinese Medicine Hospital of Xinjiang Uygur Autonomous Region, No. 116, Huanghe Road, Urumqi, 830000, Xinjiang, China.
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Liu J, Li L, Wu G, Ma T, Liu X, Huang B, Chen J, Zhou Y. Identification of a novel FUT1 allele with c.325_414dup in a Chinese individual with para-Bombay phenotype. Transfusion 2023; 63:E45-E46. [PMID: 37318046 DOI: 10.1111/trf.17452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 05/05/2023] [Accepted: 05/05/2023] [Indexed: 06/16/2023]
Affiliation(s)
- Jinlian Liu
- Nanning Blood Center, Nanning Institute of Transfusion Medicine, Nanning, Guangxi, China
| | - Lilan Li
- Nanning Blood Center, Nanning Institute of Transfusion Medicine, Nanning, Guangxi, China
| | - Guoguang Wu
- Nanning Blood Center, Nanning Institute of Transfusion Medicine, Nanning, Guangxi, China
| | - Tingting Ma
- Nanning Blood Center, Nanning Institute of Transfusion Medicine, Nanning, Guangxi, China
| | - Xuejun Liu
- Nanning Blood Center, Nanning Institute of Transfusion Medicine, Nanning, Guangxi, China
| | - Baojia Huang
- Nanning Blood Center, Nanning Institute of Transfusion Medicine, Nanning, Guangxi, China
| | - Jierun Chen
- Nanning Blood Center, Nanning Institute of Transfusion Medicine, Nanning, Guangxi, China
| | - Yan Zhou
- Nanning Blood Center, Nanning Institute of Transfusion Medicine, Nanning, Guangxi, China
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Chevy ET, Huerta-Sánchez E, Ramachandran S. Integrating sex-bias into studies of archaic introgression on chromosome X. PLoS Genet 2023; 19:e1010399. [PMID: 37578977 PMCID: PMC10449224 DOI: 10.1371/journal.pgen.1010399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 08/24/2023] [Accepted: 07/10/2023] [Indexed: 08/16/2023] Open
Abstract
Evidence of interbreeding between archaic hominins and humans comes from methods that infer the locations of segments of archaic haplotypes, or 'archaic coverage' using the genomes of people living today. As more estimates of archaic coverage have emerged, it has become clear that most of this coverage is found on the autosomes- very little is retained on chromosome X. Here, we summarize published estimates of archaic coverage on autosomes and chromosome X from extant human samples. We find on average 7 times more archaic coverage on autosomes than chromosome X, and identify broad continental patterns in this ratio: greatest in European samples, and least in South Asian samples. We also perform extensive simulation studies to investigate how the amount of archaic coverage, lengths of coverage, and rates of purging of archaic coverage are affected by sex-bias caused by an unequal sex ratio within the archaic introgressors. Our results generally confirm that, with increasing male sex-bias, less archaic coverage is retained on chromosome X. Ours is the first study to explicitly model such sex-bias and its potential role in creating the dearth of archaic coverage on chromosome X.
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Affiliation(s)
- Elizabeth T. Chevy
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America
| | - Emilia Huerta-Sánchez
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, United States of America
| | - Sohini Ramachandran
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, United States of America
- Data Science Initiative, Brown University, Providence, Rhode Island, United States of America
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80
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Bao YF, Li XY, Dong Y, Wu ZY. Loss of CAA interruption and intergenerational CAG instability in Chinese patients with Huntington's disease. J Mol Med (Berl) 2023; 101:869-876. [PMID: 37231148 DOI: 10.1007/s00109-023-02329-0] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 04/06/2023] [Accepted: 04/28/2023] [Indexed: 05/27/2023]
Abstract
Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder caused by CAG expansions in huntingtin (HTT) gene, involving motor, cognitive, and neuropsychiatric symptoms. However, genetic modifiers and CAG repeat instability may lead to variations of clinical manifestations, making diagnosis of HD difficult. In this study, we recruited 229 HD individuals from 164 families carrying expanded CAG repeats of HTT, and analyzed loss of CAA interruption (LOI) on the expanded allele and CAG instability during germline transmission. Sanger sequencing and TA cloning were used to determine CAG repeat length and identify LOI variants. Detailed clinical features and genetic testing results were collected. We identified 6 individuals with LOI variants from 3 families, and all probands presented with earlier motor onset age than predicted onset age. In addition, we also presented 2 families with extreme CAG instability during germline transmission. One family showed an expansion from 35 to 66 CAG repeats, while the other family showed both CAG expansion and contraction in lineal three generations. In conclusion, we present the first document of Asian HD population with LOI variant, and we suggest that for symptomatic individuals with intermediate or reduced penetrance allele or negative family history, HTT gene sequencing should be considered in the clinical practice. KEY MESSAGES : We screened the loss of CAA interruption (LOI) variant in a Chinese HD cohort and presented the first document of Asian patients with Huntington's disease carrying LOI variant. We identified 6 individuals with LOI variants from 3 families, and all probands presented with earlier motor onset age than predicted onset age. We presented 2 families with extreme CAG instability during germline transmission. One family showed an expansion from 35 to 66 CAG repeats, while the other family showed both CAG expansion and contraction in lineal three generations. We suggest that for symptomatic individuals with intermediate or reduced penetrance allele or negative family history, HTT gene sequencing should be considered in the clinical practice.
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Affiliation(s)
- Yu-Feng Bao
- Department of Medical Genetics and Center for Rare Diseases, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China
- Department of Neurology and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China
| | - Xiao-Yan Li
- Department of Medical Genetics and Center for Rare Diseases, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China
- Department of Neurology and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China
| | - Yi Dong
- Department of Medical Genetics and Center for Rare Diseases, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China
- Department of Neurology and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China
| | - Zhi-Ying Wu
- Department of Medical Genetics and Center for Rare Diseases, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China.
- Department of Neurology and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China.
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Desai D, Jena A, Sharma V, Hibi T. Time to incorporate preemptive NUDT15 testing before starting thiopurines in inflammatory bowel disease in Asia and beyond: a review. Expert Rev Clin Pharmacol 2023; 16:643-653. [PMID: 37387532 DOI: 10.1080/17512433.2023.2232300] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 06/29/2023] [Indexed: 07/01/2023]
Abstract
INTRODUCTION Thiopurine toxicity is related to genetic polymorphism. Thiopurine methyltransferase (TPMT) variants do not explain thiopurine toxicity in more than half of patients. Asians, despite the low prevalence of TPMT variants, are more susceptible to thiopurine toxicity. Since 2014, studies from many Asian countries have shown a strong association between nucleoside diphosphate-linked moiety X-type motif (NUDT) 15 polymorphism and thiopurine-induced myelotoxicity. AREAS COVERED An English language literature search was performed for TPMT and NUDT15 genetic variants in inflammatory bowel disease and other diseases. This article discusses the merits of preemptive NUDT15 and TPMT testing in Asian and non-Asian IBD populations. EXPERT OPINION The NUDT polymorphism occurs in up to 27% of the Asian and Hispanic population. Hematological toxicity occurs in up to one-third of patients with this genetic variant. Given this, preemptive testing for NUDT15 variant is worthwhile and is probably more cost-effective than TPMT testing in these groups. Prevalence of NUDT15 variants is low in non-Finnish European population, but NUDT15 variants have been linked to myelotoxicity along with TPMT genetic variants. NUDT15 preemptive testing should be considered in the migrant Asian population in Europe and North America and in Caucasian populations who develop myelotoxicity.
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Affiliation(s)
- Devendra Desai
- Division of Gastroenterology, P D Hinduja Hospital, Mumbai, India
| | - Anuraag Jena
- Department of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Vishal Sharma
- Department of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Toshifumi Hibi
- Center for Advanced IBD Research and Treatment, Kitasato Institute Hospital, Kitasato University, Tokyo, Japan
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Fu Y, Zhao Z, Zheng J, Zhu Y, Sun L. Gene Screening for Non-Syndromic Deafness in Hainanese Patients. J Int Adv Otol 2023; 19:283-287. [PMID: 37528592 PMCID: PMC10544452 DOI: 10.5152/iao.2023.21582] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 10/21/2022] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Hainan Province is the southernmost island in China, far from the mainland, and the resident population changes little. In order to understand the mutation spectrum in Hainan and provide effective genetic counseling for deaf people, we carried out genetic analysis on the non-comprehensive hearing impairment in this population. Therefore, in this study, 183 children with moderate sensorineural deafness in the northeast of Hainan were analyzed with susceptibility gene carrying and gene mutation, providing some reference for hainan to guide the prevention and treatment of deafness. METHODS Complete clinical evaluations were performed on 183 unrelated patients with a non-syndromic hearing impairment from Hainan Province. Each subject was screened for common mutations using the matrix-assisted laser desorption ionization-time of flight mass spectrometry, including GJB2 c.35delG,c.235delC,c.299_300del AT,c.176_191del16,c.167delT; GJB3 c.538 C>T,c.547G >A;SLC26A4 IVS7-2 A>G,c.2168 A>G,c.1174A>T,c.1229 C>T,c.1226G>A,c.1975G>C,c.2027T>A,c.2162C>T,c.281C>T,c.589G>A,IVS15+5G>A; and mtRNA 1494 C>T,1555 A>G. RESULTS Genetic analysis showed that GJB2, SLC26A4, and mitochondrial M. 1555A > G mutations accounted for 7.10%, 8.74%, and 0.55% of the etiology of non-syndromic hearing impairment, respectively. Common mutations include GJB2 C. 235delC, SLC26A4 c.I vs7-2a →G, C. 2168A→G, and mitochondrial M. 1555A > G. The total mutation rate in Hainan was 16.39%. CONCLUSION Our study is the first one to carry out genetic analysis on non-syndromic hearing impairment in Hainan. The results show that in the cases of non-syndromic hearing impairment in these areas, there is a clear genetic cause accounted for 16.39%, and the mutation hot spots are mainly GJB2 and SLC26A4, and SLC26A4 is the most common mutation site. This study provides useful and targeted information for genetic counseling of deafness in people with non-syndromic hearing impairment in Hainan.
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Affiliation(s)
- Yifei Fu
- Department of ENT & HN Surgery, ainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Zhibin Zhao
- Department of ENT & HN Surgery, ainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jing Zheng
- Department of ENT & HN Surgery, ainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yuanping Zhu
- Department of ENT & HN Surgery, ainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Liang Sun
- Department of ENT & HN Surgery, ainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
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83
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Nie W, Zhang S, Gao X. Associations between KCNQ1OT1 genetic variation rs10766212 and susceptibility to colorectal cancer and clinical stage in a Chinese Han population. Environ Mol Mutagen 2023; 64:354-358. [PMID: 37349861 DOI: 10.1002/em.22559] [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: 10/08/2022] [Revised: 01/08/2023] [Accepted: 06/22/2023] [Indexed: 06/24/2023]
Abstract
KCNQ1OT1 has been linked to the development and progression of colorectal cancer (CRC). As a result, functional polymorphisms in the KCNQ1OT1 gene may have a role in CRC formation and progression. The goal of this study was to see if the rs10766212 polymorphism on the KCNQ1OT1 gene was linked to CRC susceptibility and clinical stage in a Chinese Han population. The case-control research comprised a total of 576 CRC patients and 606 healthy controls. The genotype of the rs10766212 polymorphic locus was determined using the Sanger sequencing technique. We found that the KCNQ1OT1 rs10766212 polymorphism was not related to CRC susceptibility; however, it was connected with the clinical stage of CRC. Patients with CRC who had the rs10766212 T allele had a lower risk of stage III/IV tumors than those who had the rs10766212 C allele. Furthermore, CRC tissues with the rs10766212 CC genotype showed a significant negative connection between KCNQ1OT1 and hsa-miR-622 expression. The luciferase assay showed that the rs10766212 C allele might contribute to the adsorption of KCNQ1OT1 on hsa-miR-622. In conclusion, the rs10766212 polymorphism altering hsa-miR-622 binding is linked to the clinical stage of CRC and may serve as a biomarker for predicting CRC progression in the Chinese Han population. However, better-designed studies are still needed to confirm the current findings.
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Affiliation(s)
- Wanjia Nie
- School of Pharmacy, Yancheng Teachers' University, Yancheng, Jiangsu, China
| | - Shulong Zhang
- Department of General Surgery, Xuhui District Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China
| | - Xueren Gao
- School of Pharmacy, Yancheng Teachers' University, Yancheng, Jiangsu, China
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Wall JD, Sathirapongsasuti JF, Gupta R, Rasheed A, Venkatesan R, Belsare S, Menon R, Phalke S, Mittal A, Fang J, Tanneeru D, Deshmukh M, Bassi A, Robinson J, Chaudhary R, Murugan S, Ul-Asar Z, Saleem I, Ishtiaq U, Fatima A, Sheikh SS, Hameed S, Ishaq M, Rasheed SZ, Memon FUR, Jalal A, Abbas S, Frossard P, Fuchsberger C, Forer L, Schoenherr S, Bei Q, Bhangale T, Tom J, Gadde SGK, B V P, Naik NK, Wang M, Kwok PY, Khera AV, Lakshmi BR, Butterworth AS, Chowdhury R, Danesh J, di Angelantonio E, Naheed A, Goyal V, Kandadai RM, Kumar H, Borgohain R, Mukherjee A, Wadia PM, Yadav R, Desai S, Kumar N, Biswas A, Pal PK, Muthane UB, Das SK, Ramprasad VL, Kukkle PL, Seshagiri S, Kathiresan S, Ghosh A, Mohan V, Saleheen D, Stawiski EW, Peterson AS. South Asian medical cohorts reveal strong founder effects and high rates of homozygosity. Nat Commun 2023; 14:3377. [PMID: 37291107 PMCID: PMC10250394 DOI: 10.1038/s41467-023-38766-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 05/15/2023] [Indexed: 06/10/2023] Open
Abstract
The benefits of large-scale genetic studies for healthcare of the populations studied are well documented, but these genetic studies have traditionally ignored people from some parts of the world, such as South Asia. Here we describe whole genome sequence (WGS) data from 4806 individuals recruited from the healthcare delivery systems of Pakistan, India and Bangladesh, combined with WGS from 927 individuals from isolated South Asian populations. We characterize population structure in South Asia and describe a genotyping array (SARGAM) and imputation reference panel that are optimized for South Asian genomes. We find evidence for high rates of reproductive isolation, endogamy and consanguinity that vary across the subcontinent and that lead to levels of rare homozygotes that reach 100 times that seen in outbred populations. Founder effects increase the power to associate functional variants with disease processes and make South Asia a uniquely powerful place for population-scale genetic studies.
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Affiliation(s)
- Jeffrey D Wall
- Institute for Human Genetics, University of California, San Francisco, CA, 94143, USA.
- Dept of Ornithology and Mammology, California Academy of Sciences, San Francisco, CA, 94118, USA.
| | - J Fah Sathirapongsasuti
- MedGenome Inc., Foster City, CA, 94404, USA
- GenomeAsia 100K Foundation, Foster City, CA, 94404, USA
| | - Ravi Gupta
- MedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, 560099, India
| | - Asif Rasheed
- Center for Non-Communicable Disease, Karachi, Karachi City, Sindh, 75300, Pakistan
| | - Radha Venkatesan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, Tamil Nadu, 600086, India
| | - Saurabh Belsare
- Institute for Human Genetics, University of California, San Francisco, CA, 94143, USA
| | - Ramesh Menon
- MedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, 560099, India
| | - Sameer Phalke
- MedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, 560099, India
| | | | - John Fang
- Thermo Fisher Scientific, Santa Clara, CA, 95051, USA
| | - Deepak Tanneeru
- MedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, 560099, India
| | | | - Akshi Bassi
- MedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, 560099, India
| | - Jacqueline Robinson
- Institute for Human Genetics, University of California, San Francisco, CA, 94143, USA
| | | | | | - Zameer Ul-Asar
- Center for Non-Communicable Disease, Karachi, Karachi City, Sindh, 75300, Pakistan
| | - Imran Saleem
- Center for Non-Communicable Disease, Karachi, Karachi City, Sindh, 75300, Pakistan
| | - Unzila Ishtiaq
- Center for Non-Communicable Disease, Karachi, Karachi City, Sindh, 75300, Pakistan
| | - Areej Fatima
- Center for Non-Communicable Disease, Karachi, Karachi City, Sindh, 75300, Pakistan
| | | | | | | | | | | | - Anjum Jalal
- Faisalabad Institute of Cardiology, Faisalabad, Pakistan
| | - Shahid Abbas
- Faisalabad Institute of Cardiology, Faisalabad, Pakistan
| | - Philippe Frossard
- Center for Non-Communicable Disease, Karachi, Karachi City, Sindh, 75300, Pakistan
| | - Christian Fuchsberger
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Institute for Biomedicine, Eurac Research, Bolzano, Italy
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Sebastian Schoenherr
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Qixin Bei
- Department of Molecular Biology, Genentech, South San Francisco, CA, 94080, USA
| | - Tushar Bhangale
- Department of Human Genetics, Genentech, South San Francisco, CA, 94080, USA
| | - Jennifer Tom
- Product Development Data Sciences, Genentech, South San Francisco, CA, 94080, USA
| | | | - Priya B V
- Narayana Nethralaya Foundation, Bengaluru, Karnataka, 560010, India
| | | | - Minxian Wang
- Program in Medical and Population Genetics & Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Pui-Yan Kwok
- Institute for Human Genetics, University of California, San Francisco, CA, 94143, USA
- Cardiovascular Research Institute and Department of Dermatology, University of California San Francisco, San Francisco, CA, 94143, USA
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Amit V Khera
- Harvard Medical School, Boston, MA, 02115, USA
- Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, MA, 02115, Boston, USA
- Verve Therapeutics, Cambridge, MA, 02139, USA
| | - B R Lakshmi
- MDCRC, Royal Care Super Speciality Hospital 1/520, Neelambur, Coimbatore, Tamil Nadu, 641062, India
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - Rajiv Chowdhury
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Emanuele di Angelantonio
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - Aliya Naheed
- Initiative for Non Communicable Diseases, Health Systems and Population Studies Division, icddr,b, Dhaka, Bangladesh
| | - Vinay Goyal
- All India Institute of Medical Sciences (AIIMS), New Delhi, India
- Medanta Hospital, New Delhi, India
- Medanta, The Medicity, Gurgaon, India
| | | | | | - Rupam Borgohain
- Nizams Institute of Medical Sciences (NIMS), Hyderabad, India
| | - Adreesh Mukherjee
- Bangur Institute of Neurosciences and Institute of Post Graduate Medical Education and Research (IPGME&R), Kolkata, India
| | | | - Ravi Yadav
- National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - Soaham Desai
- Shree Krishna Hospital and Pramukhaswami Medical College, Bhaikaka University, Karamsad, Gujarat, India
| | - Niraj Kumar
- All India Institute of Medical Sciences, Rishikesh, India
| | - Atanu Biswas
- Bangur Institute of Neurosciences and Institute of Post Graduate Medical Education and Research (IPGME&R), Kolkata, India
| | - Pramod Kumar Pal
- National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - Uday B Muthane
- Parkinson and Ageing Research Foundation, Bengaluru, India
| | - Shymal K Das
- Bangur Institute of Neurosciences and Institute of Post Graduate Medical Education and Research (IPGME&R), Kolkata, India
| | | | - Prashanth L Kukkle
- All India Institute of Medical Sciences, Rishikesh, India
- Manipal Hospital, Miller Road, Bengaluru, India
- Parkinson's Disease and Movement Disorders Clinic, Bengaluru, India
| | - Somasekar Seshagiri
- GenomeAsia 100K Foundation, Foster City, CA, 94404, USA
- Department of Molecular Biology, Genentech, South San Francisco, CA, 94080, USA
| | - Sekar Kathiresan
- Program in Medical and Population Genetics & Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Verve Therapeutics, Cambridge, MA, 02139, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Arkasubhra Ghosh
- Narayana Nethralaya Foundation, Bengaluru, Karnataka, 560010, India
| | - V Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, Tamil Nadu, 600086, India
| | - Danish Saleheen
- Center for Non-Communicable Disease, Karachi, Karachi City, Sindh, 75300, Pakistan
- Seymour, Paul and Gloria Milstein Division of Cardiology at Columbia University, New York, NY, 10032, USA
| | - Eric W Stawiski
- MedGenome Inc., Foster City, CA, 94404, USA
- GenomeAsia 100K Foundation, Foster City, CA, 94404, USA
- Department of Molecular Biology, Genentech, South San Francisco, CA, 94080, USA
- Caribou Biosciences, Berkeley, CA, 94710, USA
| | - Andrew S Peterson
- MedGenome Inc., Foster City, CA, 94404, USA.
- GenomeAsia 100K Foundation, Foster City, CA, 94404, USA.
- Department of Molecular Biology, Genentech, South San Francisco, CA, 94080, USA.
- Broadwing Bio, South San Francisco, CA, 94080, USA.
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Huang H, Yang X, Tao L, Xiang R, Yang H. Identification of a de novo heterozygous mutation of ANKZF1 in a Chinese patient with inflammatory bowel disease. QJM 2023; 116:463-465. [PMID: 36857589 DOI: 10.1093/qjmed/hcad030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 02/25/2023] [Indexed: 03/03/2023] Open
Affiliation(s)
- H Huang
- From the Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China
- Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Organ Fibrosis, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - X Yang
- Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Organ Fibrosis, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - L Tao
- From the Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Organ Fibrosis, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - R Xiang
- Hunan Key Laboratory of Organ Fibrosis, Central South University, Changsha, China
| | - H Yang
- Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Organ Fibrosis, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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86
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Wang A, Zhang T, Li J, Wang W, Xu C, Duan H, Tian X, Zhang D. Genetic and Environmental Correlation Analysis of Serum Creatinine Levels in Chinese Twins. Twin Res Hum Genet 2023; 26:219-222. [PMID: 37170793 DOI: 10.1017/thg.2023.20] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Almost all creatinine is excreted by the kidney in individuals. Serum creatinine concentration, a widely used renal function index in clinical practice, can be affected by both genetic and environmental factors, as evidenced by current research exploring the relationship between these factors and kidney function. However, few studies have explored the heritability of serum creatinine in Asian populations. Therefore, we explored the genetic and environmental factors that affect the serum creatinine level in Asian populations. Participants in this study came from the Qingdao Twin Registry in China, and 374 pairs of twins were included, of which 139 pairs were dizygotic twins, whose ages ranged from 40 to 80 years old, and the serum creatinine level ranged from 10 to 126 μmol/L. Structural equation models were constructed using Mx software to calculate heritability, with adjusted covariates being age, sex, and body mass index. The results of heritability analysis showed that ACE was the best fit model. Serum creatinine level is influenced by genetic and environmental factors. The result of heritability was 35.44%, and the influence of shared environmental factors accounted for 52.13%. This study provided the relevant basis for future research on genetic and environmental factors affecting serum creatinine levels in Asian populations.
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Affiliation(s)
- Anni Wang
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao, Shandong Province, China
| | - Tianhao Zhang
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao, Shandong Province, China
| | - Jingxian Li
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao, Shandong Province, China
| | - Weijing Wang
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao, Shandong Province, China
| | - Chunsheng Xu
- Qingdao Municipal Centre for Disease Control and Prevention, Qingdao, Shandong Province, China
| | - Haiping Duan
- Qingdao Municipal Centre for Disease Control and Prevention, Qingdao, Shandong Province, China
| | - Xiaocao Tian
- Qingdao Municipal Centre for Disease Control and Prevention, Qingdao, Shandong Province, China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao, Shandong Province, China
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Deva JP, Ngeow YF, Zin T. The association between VSX1 exon3 gene variants and keratoconus in Malaysian patients. Indian J Ophthalmol 2023; 71:2443-2447. [PMID: 37322657 PMCID: PMC10418017 DOI: 10.4103/ijo.ijo_2894_22] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/22/2023] [Accepted: 03/24/2023] [Indexed: 06/17/2023] Open
Abstract
Purpose This case-control study aims to examine possible associations of VSX1 exon3 gene variants with the development of keratoconus (KC) in Malaysian patients. Methods A case-control study was done on 42 keratoconus cases, 127 family member controls, and 96 normal controls. Results Three gene variants, p.A182A, p.P237P, and p.R217H showed significant associations with keratoconus (P < 0.05). While p.A182A and p.P227P were more prevalent than in the family and normal controls (OR 3.14-4.05), the reverse was observed with p.R217H (OR 0.086-1.59). With Haploview analysis, p.A182A and p.P237P were shown to be in linkage disequilibrium (LD) (LOD (logarithm of the odds score) score of 2.0, r2 of 0.957, and 95% confidence interval (CI) of 0.96-1.00). Conclusion The study results suggest that the p.A182A and p.P237P variants could have contributed to the development of keratoconus in some Malaysians and that these two variants are likely to be co-inherited. In contrast, the p.R217H variant appeared to confer some protection against the development of keratoconus.
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Affiliation(s)
- Jenny P Deva
- Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Sg Long, Malaysia
| | - Yun F Ngeow
- Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Sg Long, Malaysia
| | - Thaw Zin
- Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Sg Long, Malaysia
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88
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Zhao Z, Zhao F, Wang X, Liu D, Liu J, Zhang Y, Hu X, Zhao M, Tian C, Dong S, Jin P. Genetic Factors Influencing Warfarin Dose in Han Chinese Population: A Systematic Review and Meta-Analysis of Cohort Studies. Clin Pharmacokinet 2023; 62:819-833. [PMID: 37273173 DOI: 10.1007/s40262-023-01258-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/30/2023] [Indexed: 06/06/2023]
Abstract
OBJECTIVE To investigate the association of single nucleotide polymorphisms (SNPs) of various genes known to influence mean daily warfarin dose (MDWD) in the Han Chinese population. METHODS The study is a systematic review and meta-analysis. Selected studies retrieved by searching Pubmed, Embase (Ovid), Medline, CNKI, Wanfang data, and SinoMed (from their inception to 31 August 2022) for the cohort studies assessing genetic variations that may possibly influence MDWD in Chinese patients were included. RESULT A total of 46 studies including a total of 10,102 Han Chinese adult patients were finally included in the meta-analysis. The impact of 20 single nucleotide polymorphisms (SNPs) in 8 genes on MDWD was analyzed. The significant impact of some of these SNPs on MDWD requirements was demonstrated. Patients with CYP4F2 rs2108622 TT, EPHX1 rs2260863 GC, or NQO1 rs1800566 TT genotype required more than 10% higher MDWD. Furthermore, patients with ABCB1 rs2032582 GT or GG, or CALU rs2290228 TT genotype required more than 10% lower MDWD. Subgroup analysis showed that patients with EPHX1 rs2260863 GC genotype required 7% lower MDWD after heart valve replacement (HVR). CONCLUSION This is the first systematic review and meta-analysis assessing the association between single nucleotide polymorphisms (SNPs) of various genes known to influence MDWD besides CYP2C9 and VKORC1 in the Han Chinese population. CYP4F2 (rs2108622), GGCX (rs12714145), EPHX1 (rs2292566 and rs2260863), ABCB1 (rs2032582), NQO1 (rs1800566), and CALU (rs2290228) SNPs might be moderate factors affecting MDWD requirements. REGISTERED INFORMATION PROSPERO International Prospective Register of Systematic Reviews (CRD42022355130).
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Affiliation(s)
- Zinan Zhao
- Department of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China
| | - Fei Zhao
- Department of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China
| | - Xiang Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Deping Liu
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Junpeng Liu
- Department of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yatong Zhang
- Department of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China
| | - Xin Hu
- Department of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China
| | - Ming Zhao
- Department of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China
| | - Chao Tian
- Department of Pharmacy, Beijing Children's Hospital, Capital Medicine University, National Center for Children's Health, Beijing, 100045, China
| | - Shujie Dong
- Department of Pharmacy, Peking University Third Hospital, Beijing, 100191, China
| | - Pengfei Jin
- Department of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China.
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Clark R, Lee SSY, Du R, Wang Y, Kneepkens SCM, Charng J, Huang Y, Hunter ML, Jiang C, Tideman JWL, Melles RB, Klaver CCW, Mackey DA, Williams C, Choquet H, Ohno-Matsui K, Guggenheim JA. A new polygenic score for refractive error improves detection of children at risk of high myopia but not the prediction of those at risk of myopic macular degeneration. EBioMedicine 2023; 91:104551. [PMID: 37055258 PMCID: PMC10203044 DOI: 10.1016/j.ebiom.2023.104551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/17/2023] [Accepted: 03/17/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND High myopia (HM), defined as a spherical equivalent refractive error (SER) ≤ -6.00 diopters (D), is a leading cause of sight impairment, through myopic macular degeneration (MMD). We aimed to derive an improved polygenic score (PGS) for predicting children at risk of HM and to test if a PGS is predictive of MMD after accounting for SER. METHODS The PGS was derived from genome-wide association studies in participants of UK Biobank, CREAM Consortium, and Genetic Epidemiology Research on Adult Health and Aging. MMD severity was quantified by a deep learning algorithm. Prediction of HM was quantified as the area under the receiver operating curve (AUROC). Prediction of severe MMD was assessed by logistic regression. FINDINGS In independent samples of European, African, South Asian and East Asian ancestry, the PGS explained 19% (95% confidence interval 17-21%), 2% (1-3%), 8% (7-10%) and 6% (3-9%) of the variation in SER, respectively. The AUROC for HM in these samples was 0.78 (0.75-0.81), 0.58 (0.53-0.64), 0.71 (0.69-0.74) and 0.67 (0.62-0.72), respectively. The PGS was not associated with the risk of MMD after accounting for SER: OR = 1.07 (0.92-1.24). INTERPRETATION Performance of the PGS approached the level required for clinical utility in Europeans but not in other ancestries. A PGS for refractive error was not predictive of MMD risk once SER was accounted for. FUNDING Supported by the Welsh Government and Fight for Sight (24WG201).
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Affiliation(s)
- Rosie Clark
- School of Optometry & Vision Sciences, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Samantha Sze-Yee Lee
- University of Western Australia, Centre for Ophthalmology and Visual Science (incorporating the Lions Eye Institute), Perth, Western Australia, Australia
| | - Ran Du
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 1138510, Japan; Department of Ophthalmology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
| | - Yining Wang
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 1138510, Japan
| | - Sander C M Kneepkens
- Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands; Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Jason Charng
- University of Western Australia, Centre for Ophthalmology and Visual Science (incorporating the Lions Eye Institute), Perth, Western Australia, Australia; Department of Optometry, School of Allied Health, University of Western Australia, Perth, Australia
| | - Yu Huang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Michael L Hunter
- Busselton Health Study Centre, Busselton Population Medical Research Institute, Busselton, Western Australia; School of Population and Global Health, University of Western Australia, Perth, Western Australia
| | - Chen Jiang
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - J Willem L Tideman
- Department of Ophthalmology, Martini Hospital, Groningen, the Netherlands; Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ronald B Melles
- Department of Ophthalmology Kaiser Permanente Northern California, Redwood City, CA, USA
| | - Caroline C W Klaver
- Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands; Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands; Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland; Department of Ophthalmology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - David A Mackey
- University of Western Australia, Centre for Ophthalmology and Visual Science (incorporating the Lions Eye Institute), Perth, Western Australia, Australia; Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, East Melbourne, Victoria, Australia; School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, Tasmania, Australia
| | - Cathy Williams
- Centre for Academic Child Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS81NU, UK
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Kyoko Ohno-Matsui
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 1138510, Japan
| | - Jeremy A Guggenheim
- School of Optometry & Vision Sciences, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, UK.
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90
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Ling S, Qiu W, Zhang H, Liang L, Lu D, Chen T, Zhan X, Wang Y, Gu X, Han L. Clinical, biochemical, and genetic analysis of 28 Chinese patients with holocarboxylase synthetase deficiency. Orphanet J Rare Dis 2023; 18:48. [PMID: 36890565 PMCID: PMC9997024 DOI: 10.1186/s13023-023-02656-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 02/27/2023] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND This study aimed to describe the clinical, biochemical, and molecular characteristics of Chinese patients with holocarboxylase synthetase (HLCS) deficiency, and to investigate the mutation spectrum of HCLS deficiency as well as their potential correlation with phenotype. METHODS A total of 28 patients with HLCS deficiency were enrolled between 2006 and 2021. Clinical and laboratory data were reviewed retrospectively from medical records. RESULTS Among the 28 patients, six patients underwent newborn screening, of which only one was missed. Therefore, 23 patients were diagnosed because of disease onset. Among all the patients, 24 showed varying degrees of symptoms such as rash, vomiting, seizures, and drowsiness, while only four cases remained asymptomatic nowadays. The concentration of 3-hydroxyisovalerylcarnitine (C5-OH) in blood and pyruvate, 3-hydroxypropionate, methylcitric acid, 3-hydroxyvaleric acid, 3-methylcrotonylglycine in urine were increased greatly among affected individuals. After prompt supplement of biotin, both the clinical and biochemical symptoms were dramatically resolved and nearly all patients developed normal intelligence and physique on follow-up. DNA sequencing revealed 12 known and 6 novel variants in the HLCS gene of patients. Among them, the variant of c.1522C > T was the most common. CONCLUSIONS Our findings expanded the spectrum of phenotypes and genotypes for HLCS deficiency in Chinese populations and suggested that with timely biotin therapy, patients with HLCS deficiency showed low mortality and optimistic prognosis. Newborn screening is crucial for early diagnosis, treatment, and long-term outcomes.
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Affiliation(s)
- Shiying Ling
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
| | - Wenjuan Qiu
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
| | - Huiwen Zhang
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
| | - Lili Liang
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
| | - Deyun Lu
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
| | - Ting Chen
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
| | - Xia Zhan
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
| | - Yu Wang
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
| | - Xuefan Gu
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
| | - Lianshu Han
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.
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Nakanishi H, Pereira V, Børsting C, Tvedebrink T, Takada A, Saito K. Development of an Okinawa panel for biogeographic inference of Okinawans. Ann Hum Biol 2023; 50:436-441. [PMID: 37812250 DOI: 10.1080/03014460.2023.2257594] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 08/31/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND The Precision ID Ancestry Panel with 165 SNP markers was unable to differentiate between mainland Japanese and Okinawa Japanese or to distinguish either of them from other East Asian populations. AIM An Okinawa panel was developed with the aim of further separating Okinawa Japanese individuals from mainland Japanese and other Asian groups. Seventy-five SNPs were selected using the most informative markers from the literature. Further, 22 SNPs were selected to separate Okinawa Japanese at minimum SNPs. SUBJECTS AND METHODS Samples were collected from 48 unrelated individuals from mainland Japan and 46 unrelated residents of the Okinawa prefecture. Data were evaluated by STRUCTURE, principal component, and GenoGeographer analyses. RESULTS The 22 SNP set had similar levels of differentiation in STRUCTURE and PCA analyses as the 75 SNP set. GenoGeographer analysis showed that, out of the 46 Okinawa Japanese individuals, the 75 SNP and 22 SNP sets correctly assigned the Okinawan population as the most likely population of origin for 32 and 31 individuals, respectively. CONCLUSION Neither SNP set could completely differentiate between Okinawa Japanese and other Asian groups, however, these sets should be useful for crime investigation, when the sample, cost and time are limited.
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Affiliation(s)
- Hiroaki Nakanishi
- Department of Forensic Medicine, Juntendo University School of Medicine, Tokyo, Japan
- Department of Forensic Medicine, Saitama Medical University, Saitama, Japan
| | - Vania Pereira
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Claus Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Tvedebrink
- Department of Mathematical Sciences, Aalborg University, Aalborg, Denmark
| | - Aya Takada
- Department of Forensic Medicine, Saitama Medical University, Saitama, Japan
| | - Kazuyuki Saito
- Department of Forensic Medicine, Juntendo University School of Medicine, Tokyo, Japan
- Department of Forensic Medicine, Saitama Medical University, Saitama, Japan
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92
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Zhang Z, Zhang Z, Shu L, Meng Y, Ma J, Gao R, Zhou X. A Genetic Variant of the ROBO3 Gene is Associated With Adolescent Idiopathic Scoliosis in the Chinese Population. Spine (Phila Pa 1976) 2023; 48:E20-E24. [PMID: 36149840 DOI: 10.1097/brs.0000000000004484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 09/05/2022] [Indexed: 02/01/2023]
Abstract
STUDY DESIGN A case-control association study. OBJECTIVES This study aimed to reveal whether mutations within roundabout receptor 3 ( ROBO3 ) gene were related to adolescent idiopathic scoliosis (AIS) in Chinese Han population and to investigate the functional role of ROBO3 in the pathogenesis and progression of AIS. SUMMARY OF BACKGROUND DATA ROBO3 is essential for the regulation of hindbrain axonal cell migration and midline crossing. Studies have demonstrated that ROBO3 homozygous mutations are associated with horizontal gaze palsy with progressive scoliosis. However, whether and how ROBO3 contributed to the development of scoliosis remains unclear. MATERIALS AND METHODS Whole exome sequencing was performed in 135 AIS patients and 267 healthy controls to evaluate the differences of single nucleotide polymorphism variants within ROBO3 . Then the identified variant of ROBO3 was genotyped in another cohort included 1140 AIS patients and 1580 controls. Moreover, paraspinal muscles were collected from 39 AIS patients and 45 lumbar disk herniation patients for the measurement of ROBO3 mRNA expression. The χ 2 test, Fisher exact test or the Student t test were used to compare intergroup data. Pearson correlation was used to determine the association between ROBO3 expression and clinical phenotypes. RESULTS A significant association was identified between the gene variant (rs74787566) of ROBO3 and the development of AIS through exome sequencing. The genotyping cohort demonstrated a higher frequency of allele A in AIS patients compared to controls (7.89% vs . 4.30%, P <0.001, odds ratio=1.87). In addition, the expression of ROBO3 in paraspinal muscles was inversely correlated with the Cobb angle ( P =0.043, r2 =0.1059). CONCLUSION A significant association was identified between the gene variant (rs74787566) of ROBO3 and the development of AIS. The reduced expression of ROBO3 could result in the progression of curve magnitude in patients with AIS. Further studies are needed to verify the functional role of ROBO3 in the development of AIS. LEVEL OF EVIDENCE Level III.
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Affiliation(s)
- Zheng Zhang
- Department of Orthopedics, Changzheng Hospital, Second Military Medical University (Naval Medical University), Shanghai
| | - Zhanrong Zhang
- Department of Orthopedics, Changzheng Hospital, Second Military Medical University (Naval Medical University), Shanghai
| | - Lun Shu
- Department of Orthopedics, Hainan Hospital, Chinese PLA General Hospital, Hainan, People's Republic of China
| | - Yichen Meng
- Department of Orthopedics, Changzheng Hospital, Second Military Medical University (Naval Medical University), Shanghai
| | - Jun Ma
- Department of Orthopedics, Changzheng Hospital, Second Military Medical University (Naval Medical University), Shanghai
| | - Rui Gao
- Department of Orthopedics, Changzheng Hospital, Second Military Medical University (Naval Medical University), Shanghai
| | - Xuhui Zhou
- Department of Orthopedics, Changzheng Hospital, Second Military Medical University (Naval Medical University), Shanghai
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Yang H, Li H, Xia Q, Dai W, Li X, Liu Y, Nie J, Yang F, Sun Y, Feng L, Yang L. UGT1A1 variants in Chinese Uighur and Han newborns and its correlation with neonatal hyperbilirubinemia. PLoS One 2022; 17:e0279059. [PMID: 36520959 PMCID: PMC9754166 DOI: 10.1371/journal.pone.0279059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 11/17/2022] [Indexed: 12/23/2022] Open
Abstract
To explore the correlation between UGT1A1 variant and neonatal hyperbilirubinemia in Chinese Uighur and Han populations. We conducted this study in Urumqi, China. Umbilical cord blood specimens and clinical information of term infants born in the studied center were collected. Variation status of UGT1A1 was determined by direct sequencing or capillary electrophoresis analysis. 102 Uighur and 99 Han normal term neonates, together with 19 hospitalized term newborns (10 Uighur and 9 Han) due to significant hyperbilirubinemia were enrolled into the final analysis. The incidence of neonates with high-risk transcutaneous bilirubin level (TCB) were much higher in Han newborns than in Uighur newborns(P = 0.01). Also, there was statistically significant difference in (TA) 7 promoter mutation of UGT1A1 between Han and Uighur group(χ2 = 4.675, P = 0.03). Furthermore, exon mutation (c.211 and /or c.1091) in UGT1A1 gene was significantly associated with increased TCB level (ORadj = 1.41, 95%CI: 0.25-2.51, P = 0.002) and higher risk of hyperbilirubinemia in both Han and Uighur infants after adjusted for covariates (ORadj = 2.21, 95%CI: 1.09-4.49, P = 0.03). In conclusion, UGT1A1 promoter polymorphism seem to be an important genetic modulator of plasma bilirubin level and neonatal hyperbilirubinemia risk within ethnic groups. Genetic assessment of UGT1A1 coding variants may be useful for clinical diagnosis of neonatal jaundice.
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Affiliation(s)
- Hui Yang
- Department of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, China
- * E-mail:
| | - Huijun Li
- Department of Gynecology and Obstetrics, Maternity and Child Health Care Hospital, Urumqi Municipality Xinjiang Uighur Autonomous Region, Xinjiang Province, China
| | - Qingyao Xia
- Department of Laboratory Medicine, Western China Women and Child’s Hospital, Sichuan University, Chengdu, China
| | - Wencheng Dai
- Department of Gynecology and Obstetrics, Maternity and Child Health Care Hospital, Urumqi Municipality Xinjiang Uighur Autonomous Region, Xinjiang Province, China
| | - Xin Li
- Department of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, China
| | - Yan Liu
- Department of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, China
| | - Jie Nie
- Department of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, China
| | - Fei Yang
- Department of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, China
| | - Yunfeng Sun
- Department of Rehabilitation, Affiliated Traditional Chinese Medicine Hospital of Xinjiang Medical University, Urumqi Municipality Xinjiang Uighur Autonomous Region, Xinjiang Province, China
| | - Lei Feng
- Department of Laboratory Medicine, People’s Hospital of Yuxi City, Yuxi, P. R. China
| | - Liye Yang
- Lab for Respiratory Disease, People’s Hospital of Yangjiang, Yangjiang, P. R. China
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Li J, Wang X, Zheng N, Wang X, Liu Y, Xue L. A novel variant of SLC4A1 for hereditary spherocytosis in a Chinese family: a case report and systematic review. BMC Med Genomics 2022; 15:250. [PMID: 36463227 PMCID: PMC9719243 DOI: 10.1186/s12920-022-01399-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/14/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND The incidence of hereditary spherocytosis (HS) is approximately 1:2000 in the western population, while it is much lower in the Chinese population. It is difficult to make a definite diagnosis due to the variable genotypic features and the lack of well-documented evidence for HS patients. Gene sequence examination is helpful for clear diagnosis. CASE PRESENTATION We presented the case of a 29-year-old male HS patient with skin yellowness, anorexia, and cholecystolithiasis as the first manifestations. Laboratory examination of the patient and his parents showed a mild reduction in hemoglobin and mean corpuscular hemoglobin concentration, increased reticulocytes, and promotion of indirect bilirubin in the patient and his father. Furthermore, small globular red blood cells with increased osmotic fragility were observed. In particular, the eosin-5'-maleimide binding test provided the strong evidence that band 3 protein was deleted in the erythrocyte membrane. Next-generation sequencing (NGS) and Sanger sequencing further demonstrated a heterozygous nonsense variant (exon16, c.G1985A: p.W662X) in SLC4A1, inherited from his father. Thus, the patient was diagnosed with HS, and then was effectively treated. After splenectomy, the anemia was relieved without any obvious unpleasant side effects. CONCLUSION We report an extremely rare case of HS in China that presented with hereditary hemolytic anemia with band 3 deletion resulting from a novel variant of SLC4A1, and systematically review a large number of related literatures. This study, therefore, significantly contributes to the literature on HS.
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Affiliation(s)
- Jie Li
- Department of Hematology, Hebei General Hospital, 348 West Heping Road, 050000, Shijiazhuang, China.
| | - Xiaozi Wang
- Laboratory of Pathology, Hebei Medical University, No. 361, Zhongshan Eastern Road, 050000, Shijiazhuang, China
| | - Na Zheng
- Department of Hematology, Hebei General Hospital, 348 West Heping Road, 050000, Shijiazhuang, China
| | - Xiaoning Wang
- Department of Hematology, Hebei General Hospital, 348 West Heping Road, 050000, Shijiazhuang, China
| | - Yan Liu
- Department of Hematology, Hebei General Hospital, 348 West Heping Road, 050000, Shijiazhuang, China
| | - Liying Xue
- Laboratory of Pathology, Hebei Medical University, No. 361, Zhongshan Eastern Road, 050000, Shijiazhuang, China.
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95
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Borges MC, Haycock P, Zheng J, Hemani G, Howe LJ, Schmidt AF, Staley JR, Lumbers RT, Henry A, Lemaitre RN, Gaunt TR, Holmes MV, Davey Smith G, Hingorani AD, Lawlor DA. The impact of fatty acids biosynthesis on the risk of cardiovascular diseases in Europeans and East Asians: a Mendelian randomization study. Hum Mol Genet 2022; 31:4034-4054. [PMID: 35796550 PMCID: PMC9703943 DOI: 10.1093/hmg/ddac153] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 06/11/2022] [Accepted: 06/24/2022] [Indexed: 11/14/2022] Open
Abstract
Despite early interest, the evidence linking fatty acids to cardiovascular diseases (CVDs) remains controversial. We used Mendelian randomization to explore the involvement of polyunsaturated (PUFA) and monounsaturated (MUFA) fatty acids biosynthesis in the etiology of several CVD endpoints in up to 1 153 768 European (maximum 123 668 cases) and 212 453 East Asian (maximum 29 319 cases) ancestry individuals. As instruments, we selected single nucleotide polymorphisms mapping to genes with well-known roles in PUFA (i.e. FADS1/2 and ELOVL2) and MUFA (i.e. SCD) biosynthesis. Our findings suggest that higher PUFA biosynthesis rate (proxied by rs174576 near FADS1/2) is related to higher odds of multiple CVDs, particularly ischemic stroke, peripheral artery disease and venous thromboembolism, whereas higher MUFA biosynthesis rate (proxied by rs603424 near SCD) is related to lower odds of coronary artery disease among Europeans. Results were unclear for East Asians as most effect estimates were imprecise. By triangulating multiple approaches (i.e. uni-/multi-variable Mendelian randomization, a phenome-wide scan, genetic colocalization and within-sibling analyses), our results are compatible with higher low-density lipoprotein (LDL) cholesterol (and possibly glucose) being a downstream effect of higher PUFA biosynthesis rate. Our findings indicate that PUFA and MUFA biosynthesis are involved in the etiology of CVDs and suggest LDL cholesterol as a potential mediating trait between PUFA biosynthesis and CVDs risk.
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Affiliation(s)
- Maria-Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Phillip Haycock
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Jie Zheng
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Laurence J Howe
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - A Floriaan Schmidt
- Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London WC1E 6DD, UK
- Department of Cardiology, Division Heart and Lungs, UMC Utrecht, Utrecht 3584 CX, The Netherlands
| | - James R Staley
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - R Thomas Lumbers
- Institute of Health Informatics, University College London, London NW1 2DA, UK
- Health Data Research UK London, University College London NW1 2DA, UK
- UCL British Heart Foundation Research Accelerator, London NW1 2DA, UK
| | - Albert Henry
- Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London WC1E 6DD, UK
- Institute of Health Informatics, University College London, London NW1 2DA, UK
- UCL British Heart Foundation Research Accelerator, London NW1 2DA, UK
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA WA 98101, USA
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Michael V Holmes
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
| | - Aroon D Hingorani
- Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London WC1E 6DD, UK
- Health Data Research UK London, University College London NW1 2DA, UK
- UCL British Heart Foundation Research Accelerator, London NW1 2DA, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PN, UK
- NIHR Bristol Biomedical Research Centre, Bristol BS8 2BN, UK
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Liu J, Wang L, Qian Y, Shen Q, Yang M, Dong Y, Chen H, Yang Z, Liu Y, Cui X, Ma H, Jin G. Metabolic and Genetic Markers Improve Prediction of Incident Type 2 Diabetes: A Nested Case-Control Study in Chinese. J Clin Endocrinol Metab 2022; 107:3120-3127. [PMID: 35977051 PMCID: PMC9681609 DOI: 10.1210/clinem/dgac487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Indexed: 11/29/2022]
Abstract
CONTEXT It is essential to improve the current predictive ability for type 2 diabetes (T2D) risk. OBJECTIVE We aimed to identify novel metabolic markers for future T2D in Chinese individuals of Han ethnicity and to determine whether the combined effect of metabolic and genetic markers improves the accuracy of prediction models containing clinical factors. METHODS A nested case-control study containing 220 incident T2D patients and 220 age- and sex- matched controls from normoglycemic Chinese individuals of Han ethnicity was conducted within the Wuxi Non-Communicable Disease cohort with a 12-year follow-up. Metabolic profiling detection was performed by high-performance liquid chromatography‒mass spectrometry (HPLC-MS) by an untargeted strategy and 20 single nucleotide polymorphisms (SNPs) associated with T2D were genotyped using the Iplex Sequenom MassARRAY platform. Machine learning methods were used to identify metabolites associated with future T2D risk. RESULTS We found that abnormal levels of 5 metabolites were associated with increased risk of future T2D: riboflavin, cnidioside A, 2-methoxy-5-(1H-1, 2, 4-triazol-5-yl)- 4-(trifluoromethyl) pyridine, 7-methylxanthine, and mestranol. The genetic risk score (GRS) based on 20 SNPs was significantly associated with T2D risk (OR = 1.35; 95% CI, 1.08-1.70 per SD). The area under the receiver operating characteristic curve (AUC) was greater for the model containing metabolites, GRS, and clinical traits than for the model containing clinical traits only (0.960 vs 0.798, P = 7.91 × 10-16). CONCLUSION In individuals with normal fasting glucose levels, abnormal levels of 5 metabolites were associated with future T2D. The combination of newly discovered metabolic markers and genetic markers could improve the prediction of incident T2D.
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Affiliation(s)
| | | | - Yun Qian
- Correspondence: Yun Qian, PhD, Department of Health Promotion & Chronic Non-Communicable Disease Control. Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University), 499 Jincheng Rd, Wuxi 214023, China. E-mail:
| | - Qian Shen
- Department of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University), Wuxi 214023, Jiangsu, China
| | - Man Yang
- Department of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University), Wuxi 214023, Jiangsu, China
| | - Yunqiu Dong
- Department of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University), Wuxi 214023, Jiangsu, China
| | - Hai Chen
- Department of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University), Wuxi 214023, Jiangsu, China
| | - Zhijie Yang
- Department of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University), Wuxi 214023, Jiangsu, China
| | - Yaqi Liu
- Department of Health Promotion & Chronic Non-Communicable Disease Control, Wuxi Center for Disease Control and Prevention (The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University), Wuxi 214023, Jiangsu, China
| | - Xuan Cui
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Hongxia Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Guangfu Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
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Lamri A, Limbachia J, Schulze KM, Desai D, Kelly B, de Souza RJ, Paré G, Lawlor DA, Wright J, Anand SS. The genetic risk of gestational diabetes in South Asian women. eLife 2022; 11:81498. [PMID: 36412575 PMCID: PMC9683781 DOI: 10.7554/elife.81498] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/02/2022] [Indexed: 11/23/2022] Open
Abstract
South Asian women are at increased risk of developing gestational diabetes mellitus (GDM). Few studies have investigated the genetic contributions to GDM risk. We investigated the association of a type 2 diabetes (T2D) polygenic risk score (PRS), on its own, and with GDM risk factors, on GDM-related traits using data from two birth cohorts in which South Asian women were enrolled during pregnancy. 837 and 4372 pregnant South Asian women from the SouTh Asian BiRth CohorT (START) and Born in Bradford (BiB) cohort studies underwent a 75-g glucose tolerance test. PRSs were derived using genome-wide association study results from an independent multi-ethnic study (~18% South Asians). Associations with fasting plasma glucose (FPG); 2 hr post-load glucose (2hG); area under the curve glucose; and GDM were tested using linear and logistic regressions. The population attributable fraction (PAF) of the PRS was calculated. Every 1 SD increase in the PRS was associated with a 0.085 mmol/L increase in FPG ([95% confidence interval, CI=0.07-0.10], p=2.85×10-20); 0.21 mmol/L increase in 2hG ([95% CI=0.16-0.26], p=5.49×10-16); and a 45% increase in the risk of GDM ([95% CI=32-60%], p=2.27×10-14), independent of parental history of diabetes and other GDM risk factors. PRS tertile 3 accounted for 12.5% of the population's GDM alone, and 21.7% when combined with family history. A few weak PRS and GDM risk factors interactions modulating FPG and GDM were observed. Taken together, these results show that a T2D PRS and family history of diabetes are strongly and independently associated with multiple GDM-related traits in women of South Asian descent, an effect that could be modulated by other environmental factors.
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Affiliation(s)
- Amel Lamri
- Department of Medicine, McMaster UniversityHamiltonCanada
- Population Health Research InstituteHamiltonCanada
| | - Jayneel Limbachia
- Population Health Research InstituteHamiltonCanada
- Department of Health Research Methods, Evidence, and Impact, McMaster UniversityHamiltonCanada
| | | | - Dipika Desai
- Population Health Research InstituteHamiltonCanada
| | - Brian Kelly
- Bradford Institute for Health Research, Bradford Royal InfirmaryBradfordUnited Kingdom
| | - Russell J de Souza
- Population Health Research InstituteHamiltonCanada
- Department of Health Research Methods, Evidence, and Impact, McMaster UniversityHamiltonCanada
| | - Guillaume Paré
- Population Health Research InstituteHamiltonCanada
- Department of Health Research Methods, Evidence, and Impact, McMaster UniversityHamiltonCanada
- Department of Pathology and Molecular Medicine, McMaster UniversityHamiltonCanada
| | - Deborah A Lawlor
- Population Health Science, Bristol Medical School, University of BristolBristolUnited Kingdom
- MRC Integrative Epidemiology Unit, University of BristolBristolUnited Kingdom
- Bristol NIHR Biomedical Research CentreBristolUnited Kingdom
| | - John Wright
- Bradford Institute for Health Research, Bradford Royal InfirmaryBradfordUnited Kingdom
| | - Sonia S Anand
- Department of Medicine, McMaster UniversityHamiltonCanada
- Population Health Research InstituteHamiltonCanada
- Department of Health Research Methods, Evidence, and Impact, McMaster UniversityHamiltonCanada
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98
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Kong YQ, Liu JK, Gu JQ, Xu JY, Zheng YN, Wei YL, Wu SY. Optimization scheme of machine learning model for genetic division between northern Han, southern Han, Korean and Japanese. Yi Chuan 2022; 44:1028-1043. [PMID: 36384995 DOI: 10.16288/j.yczz.22-073] [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] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Han Chinese, Korean and Japanese are the main populations of East Asia, and Han Chinese presents a gradient admixture from north to south. There are differences among the East Asian populations in genetic structure. To achieve fine-scale genetic classification of southern (S-) and northern (N-) Han Chinese, Korean and Japanese individuals in this study, we collected and analyzed 1185 ancestry informative SNPs (AISNPs) from previous literature reports and our laboratory findings. First, two machine learning algorithms, softmax and randomForest, were used to build genetic classification models. Then, phylogenetic tree, STRUCTURE and principal component analysis were used to evaluate the performance of classification for different AISNP panels. The 234-AISNP panel achieved a fine-scale differentiation among the target populations in four classification schemes. The accuracy of the softmax model was 92%, which realized the accurate classification of the S-Han, N-Han, Korean and Japanese individuals. The two machine learning models tested in this study provided important references for the high-resolution discrimination of close-range populations and will be useful tools to optimize marker panels for developing forensic DNA ancestry inference systems.
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Affiliation(s)
- Yong-Qiang Kong
- Key Laboratory of Tianjin for Epigenetics, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Jin-Kai Liu
- Key Laboratory of Tianjin for Epigenetics, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Jia-Qi Gu
- Key Laboratory of Phylogeny and Comparative Genomics of Jiangsu Province, Jiangsu Normal University, Xuzhou 221116, China
| | - Jing-Yi Xu
- Key Laboratory of Tianjin for Epigenetics, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Yu-Nuo Zheng
- Key Laboratory of Phylogeny and Comparative Genomics of Jiangsu Province, Jiangsu Normal University, Xuzhou 221116, China
| | - Yi-Liang Wei
- Key Laboratory of Phylogeny and Comparative Genomics of Jiangsu Province, Jiangsu Normal University, Xuzhou 221116, China
| | - Shao-Yuan Wu
- Key Laboratory of Tianjin for Epigenetics, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
- Key Laboratory of Phylogeny and Comparative Genomics of Jiangsu Province, Jiangsu Normal University, Xuzhou 221116, China
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99
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Tran NQ, Truong SD, Ma PT, Hoang CK, Le BH, Dinh TTN, Van Tran L, Tran TV, Le LHG, Le KT, Nguyen HT, Vu HA, Mai TP, Do MD. Association of KCNJ11 and ABCC8 single-nucleotide polymorphisms with type 2 diabetes mellitus in a Kinh Vietnamese population. Medicine (Baltimore) 2022; 101:e31653. [PMID: 36401380 PMCID: PMC9678638 DOI: 10.1097/md.0000000000031653] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a genetically influenced disease, but few studies have been performed to investigate the genetic basis of T2DM in Vietnamese subjects. Thus, the potential associations of KCNJ11 and ABCC8 single nucleotide polymorphisms (SNPs) with T2DM were investigated in a Kinh Vietnamese population. A cross-sectional study consisting of 404 subjects including 202 T2DM cases and 202 non-T2DM controls was designed to examine the potential associations of 4 KCNJ11 and ABCC8 SNPs (rs5219, rs2285676, rs1799859, and rs757110) with T2DM. Genotypes were identified based on restriction fragment length polymorphism and tetra-primer amplification refractory mutation system polymerase chain reaction. After statistically adjusting for age, sex, and BMI, rs5219 was found to be associated with an increased risk of T2DM under 2 inheritance models: codominant (OR = 2.15, 95% confidence intervals [CI] = 1.09-4.22) and recessive (OR = 2.08, 95%CI = 1.09-3.94). On the other hand, rs2285676, rs1799859, and rs757110 were not associated with an increased risk of T2DM. Haplotype analysis elucidated a strong linkage disequilibrium between the 3 SNPs, rs5219, rs2285676, and rs757110. The haplotype rs5219(A)/rs2285676(T)/rs757110(G) was associated with an increased risk of T2DM (OR = 1.42, 95%CI = 1.01-1.99). The results show that rs5219 is a lead candidate SNP associated with an increased risk of developing T2DM in the Kinh Vietnamese population. Further functional characterization is needed to uncover the mechanism underlying the potential genotype-phenotype associations.
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Affiliation(s)
- Nam Quang Tran
- Department of Endocrinology, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
- Department of Endocrinology, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Steven D. Truong
- Department of Medicine, School of Medicine, Stanford University, USA
| | - Phat Tung Ma
- Department of Endocrinology, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
- Department of Endocrinology, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Chi Khanh Hoang
- Department of Endocrinology, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Bao Hoang Le
- Department of Endocrinology, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Thang Tat Ngo Dinh
- Department of Endocrinology, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Luong Van Tran
- Department of Endocrinology, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Thang Viet Tran
- Department of Endocrinology, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
- Department of Endocrinology, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Linh Hoang Gia Le
- Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Khuong Thai Le
- Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Hien Thanh Nguyen
- Department of Medical Laboratory Technology, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Hoang Anh Vu
- Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Thao Phuong Mai
- Department of Physiology-Pathophysiology-Immunology, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
| | - Minh Duc Do
- Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam
- * Correspondence: Minh Duc Do, Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh City, 217 Hong Bang, District 5, Ho Chi Minh City 700000, Vietnam (e-mail: )
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100
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Park HW, Kim YR, Lee JY, Ko EJ, Kwon MJ, Kim JH, Kim NK. Association of Polymorphisms in the Long Non-Coding RNA HOTAIR with Recurrent Pregnancy Loss in a Korean Population. Genes (Basel) 2022; 13:2138. [PMID: 36421813 PMCID: PMC9690393 DOI: 10.3390/genes13112138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/05/2022] [Accepted: 11/11/2022] [Indexed: 01/21/2024] Open
Abstract
Recurrent pregnancy loss (RPL) affects 1% to 5% of women, with devastating effects on both reproductive health and psychological well-being. Homeobox (HOX) transcript antisense RNA (HOTAIR) is a long non-coding RNA (lncRNA) produced by HOXC; it plays a major role in invasion and development of ovarian and other cancers. The aim of the present study was to analyze effects of HOTAIR polymorphisms (rs4759314 A>G, rs920778 T>C, rs1899663 G>T, and rs7958904 G>C) on RPL in Korean women. A total of 403 women with RPL and 383 healthy women were selected for this study. Genotyping analysis was performed with the polymerase chain reaction, restriction fragment length polymorphism, and the TaqMan genotyping assay. Clinical characteristics were compared using Student's unpaired t-test and the chi-square test for categorical variables. Logistic regression was performed to evaluate associations between single nucleotide polymorphisms and RPL incidence. In all assays, p < 0.05 was considered significant. HOTAIR polymorphisms rs4759314A>G and rs920778T>C were highly associated with increased risk of RPL, specifically the haplotypes rs4759314A>G/rs1899663G>T (G-T) and rs4759314A>G/rs920778 T>C (G-C). These associations were maintained in haplotypes that contained three polymorphisms (rs4759314 A>G, rs920778 T>C, and rs1899663 G>T) A-C-G, G-T-G, and G-T-T, further indicating that the HOTAIR rs4759314 and rs920778 polymorphisms play significant roles in idiopathic RPL in Korean women.
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Affiliation(s)
- Hyeon Woo Park
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13488, Republic of Korea
| | - Young Ran Kim
- CHA Bundang Medical Center, Department of Obstetrics and Gynecology, School of Medicine, CHA University, Seongnam 13496, Republic of Korea
| | - Jeong Yong Lee
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13488, Republic of Korea
| | - Eun Ju Ko
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13488, Republic of Korea
| | - Min Jung Kwon
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13488, Republic of Korea
| | - Ji Hyang Kim
- CHA Bundang Medical Center, Department of Obstetrics and Gynecology, School of Medicine, CHA University, Seongnam 13496, Republic of Korea
| | - Nam Keun Kim
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13488, Republic of Korea
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