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Cheng C, Hong W, Li Y, Xiao X, McKay J, Han Y, Byun J, Peng B, Albanes D, Lam S, Tardon A, Chen C, Bojesen SE, Landi MT, Johansson M, Risch A, Bickeböller H, Wichmann HE, Christiani DC, Rennert G, Arnold S, Goodman G, Field JK, Davies MPA, Shete SS, Le Marchand L, Liu G, Hung RJ, Andrew AS, Kiemeney LA, Zhu M, Shen H, Zienolddiny S, Grankvist K, Johansson M, Cox A, Hong YC, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Brennan P, Li Y, Gorlova O, Gorlov I, Amos CI. Mosaic Chromosomal Alterations Are Associated With Increased Lung Cancer Risk: Insight From the INTEGRAL-ILCCO Cohort Analysis. J Thorac Oncol 2023; 18:1003-1016. [PMID: 37150255 PMCID: PMC10435278 DOI: 10.1016/j.jtho.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/21/2023] [Accepted: 05/01/2023] [Indexed: 05/09/2023]
Abstract
INTRODUCTION Mosaic chromosomal alterations (mCAs) detected in white blood cells represent a type of clonal hematopoiesis (CH) that is understudied compared with CH-related somatic mutations. A few recent studies indicated their potential link with nonhematological cancers, especially lung cancer. METHODS In this study, we investigated the association between mCAs and lung cancer using the high-density genotyping data from the OncoArray study of INTEGRAL-ILCCO, the largest single genetic study of lung cancer with 18,221 lung cancer cases and 14,825 cancer-free controls. RESULTS We identified a comprehensive list of autosomal mCAs, ChrX mCAs, and mosaic ChrY (mChrY) losses from these samples. Autosomal mCAs were detected in 4.3% of subjects, in addition to ChrX mCAs in 3.6% of females and mChrY losses in 9.6% of males. Multivariable logistic regression analysis indicated that the presence of autosomal mCAs in white blood cells was associated with an increased lung cancer risk after adjusting for key confounding factors, including age, sex, smoking status, and race. This association was mainly driven by a specific type of mCAs: copy-neutral loss of heterozygosity on autosomal chromosomes. The association between autosome copy-neutral loss of heterozygosity and increased risk of lung cancer was further confirmed in two major histologic subtypes, lung adenocarcinoma and squamous cell carcinoma. In addition, we observed a significant increase of ChrX mCAs and mChrY losses in smokers compared with nonsmokers and racial differences in certain types of mCA events. CONCLUSIONS Our study established a link between mCAs in white blood cells and increased risk of lung cancer.
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Affiliation(s)
- Chao Cheng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Wei Hong
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - Yafang Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - James McKay
- Section of Genetics, International Agency for Research on Cancer, WHO, Lyon, France
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Bo Peng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Demetrios Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen Lam
- Department of Integrative Oncology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Adonina Tardon
- Public Health Department, University of Oviedo, ISPA and CIBERESP, Asturias, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maria T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, WHO, Lyon, France
| | - Angela Risch
- Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany; University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
| | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - H-Erich Wichmann
- Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, Kentucky
| | | | - John K Field
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Michael P A Davies
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas M. D. Anderson Cancer Center, Houston, Texas; Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Geoffrey Liu
- University Health Network- The Princess Margaret Cancer Centre, Toronto, California
| | - Rayjean J Hung
- Luenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada; Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Angeline S Andrew
- Department of Epidemiology, Dartmouth College, Hanover, New Hampshire; Department of Community and Family Medicine, Dartmouth College, Hanover, New Hampshire
| | | | - Meng Zhu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | - Angela Cox
- Academic Unit of Clinical Oncology University of Sheffield, Weston Park Hospital, Whitham Road, Sheffield, United Kingdom
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jian-Min Yuan
- University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Melinda C Aldrich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, WHO, Lyon, France
| | - Yong Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Olga Gorlova
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Ivan Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas; Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas.
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Franch-Expósito S, Mehine M, Ptashkin RN, Bolton KL, Bandlamudi C, Srinivasan P, Zhang L, Goodell MA, Gedvilaite E, Menghrajani K, Sánchez-Vela P, Mandelker D, Comen E, Norton L, Benayed R, Gao T, Papaemmanuil E, Taylor B, Levine R, Offit K, Stadler Z, Berger MF, Zehir A. Associations Between Cancer Predisposition Mutations and Clonal Hematopoiesis in Patients With Solid Tumors. JCO Precis Oncol 2023; 7:e2300070. [PMID: 37561983 PMCID: PMC10581611 DOI: 10.1200/po.23.00070] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/31/2023] [Accepted: 07/05/2023] [Indexed: 08/12/2023] Open
Abstract
PURPOSE Clonal hematopoiesis (CH), the expansion of clones in the hematopoietic system, has been linked to different internal and external features such as aging, genetic ancestry, smoking, and oncologic treatment. However, the interplay between mutations in known cancer predisposition genes and CH has not been thoroughly examined in patients with solid tumors. METHODS We used prospective tumor-blood paired sequencing data from 46,906 patients who underwent Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT) testing to interrogate the associations between CH and rare pathogenic or likely pathogenic (P/LP) germline variants. RESULTS We observed an enrichment of CH-positive patients among those carrying P/LP germline mutations and identified a significant association between P/LP germline variants in ATM and CH. Germline and CH comutation patterns in ATM, TP53, and CHEK2 suggested biallelic inactivation as a potential mediator of clonal expansion. Moreover, we observed that CH-PPM1D mutations, similar to somatic tumor-associated PPM1D mutations, were depleted in patients with P/LP germline mutations in the DNA damage response (DDR) genes ATM, CHEK2, and TP53. Patients with solid tumors and harboring P/LP germline mutations, CH mutations, and mosaicism chromosomal alterations might be at an increased risk of developing secondary leukemia while germline variants in TP53 were identified as an independent risk factor (hazard ratio, 36; P < .001) for secondary leukemias. CONCLUSION Our results suggest a close relationship between inherited variants and CH mutations within the DDR genes in patients with solid tumors. Associations identified in this study might translate into enhanced clinical surveillance for CH and associated comorbidities in patients with cancer harboring these germline mutations.
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Affiliation(s)
- Sebastià Franch-Expósito
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Miika Mehine
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ryan N. Ptashkin
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- C2i Genomics, New York, NY
| | - Kelly L. Bolton
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Chaitanya Bandlamudi
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Preethi Srinivasan
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Natera Inc, San Carlos, CA
| | - Linda Zhang
- Department of Molecular and Cellular Biology, Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX
| | - Margaret A. Goodell
- Department of Molecular and Cellular Biology, Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX
| | - Erika Gedvilaite
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kamal Menghrajani
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Pablo Sánchez-Vela
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Diana Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Elizabeth Comen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Larry Norton
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ryma Benayed
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Precision Medicine and Biosamples, AstraZeneca, New York, NY
| | - Teng Gao
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | - Elli Papaemmanuil
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Barry Taylor
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ross Levine
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Zsofia Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Michael F. Berger
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ahmet Zehir
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Precision Medicine and Biosamples, AstraZeneca, New York, NY
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Boßelmann CM, Leu C, Lal D. Technological and computational approaches to detect somatic mosaicism in epilepsy. Neurobiol Dis 2023:106208. [PMID: 37343892 DOI: 10.1016/j.nbd.2023.106208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 06/03/2023] [Accepted: 06/16/2023] [Indexed: 06/23/2023] Open
Abstract
Lesional epilepsy is a common and severe disease commonly associated with malformations of cortical development, including focal cortical dysplasia and hemimegalencephaly. Recent advances in sequencing and variant calling technologies have identified several genetic causes, including both short/single nucleotide and structural somatic variation. In this review, we aim to provide a comprehensive overview of the methodological advancements in this field while highlighting the unresolved technological and computational challenges that persist, including ultra-low variant allele fractions in bulk tissue, low availability of paired control samples, spatial variability of mutational burden within the lesion, and the issue of false-positive calls and validation procedures. Information from genetic testing in focal epilepsy may be integrated into clinical care to inform histopathological diagnosis, postoperative prognosis, and candidate precision therapies.
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Affiliation(s)
- Christian M Boßelmann
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Costin Leu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Clinical and Experimental Epilepsy, Institute of Neurology, University College London, London, UK.
| | - Dennis Lal
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and M.I.T., Cambridge, MA, USA; Cologne Center for Genomics (CCG), University of Cologne, Cologne, DE, USA
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Hujoel ML, Handsaker RE, Sherman MA, Kamitaki N, Barton AR, Mukamel RE, Terao C, McCarroll SA, Loh PR. Hidden protein-altering variants influence diverse human phenotypes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.07.544066. [PMID: 37333244 PMCID: PMC10274781 DOI: 10.1101/2023.06.07.544066] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Structural variants (SVs) comprise the largest genetic variants, altering from 50 base pairs to megabases of DNA. However, SVs have not been effectively ascertained in most genetic association studies, leaving a key gap in our understanding of human complex trait genetics. We ascertained protein-altering SVs from UK Biobank whole-exome sequencing data (n=468,570) using haplotype-informed methods capable of detecting sub-exonic SVs and variation within segmental duplications. Incorporating SVs into analyses of rare variants predicted to cause gene loss-of-function (pLoF) identified 100 associations of pLoF variants with 41 quantitative traits. A low-frequency partial deletion of RGL3 exon 6 appeared to confer one of the strongest protective effects of gene LoF on hypertension risk (OR = 0.86 [0.82-0.90]). Protein-coding variation in rapidly-evolving gene families within segmental duplications-previously invisible to most analysis methods-appeared to generate some of the human genome's largest contributions to variation in type 2 diabetes risk, chronotype, and blood cell traits. These results illustrate the potential for new genetic insights from genomic variation that has escaped large-scale analysis to date.
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Affiliation(s)
- Margaux L.A. Hujoel
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Robert E. Handsaker
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard University, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Maxwell A. Sherman
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Nolan Kamitaki
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Alison R. Barton
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Ronen E. Mukamel
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- Department of Applied Genetics, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
| | - Steven A. McCarroll
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard University, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Po-Ru Loh
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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Buttigieg MM, Rauh MJ. Clonal Hematopoiesis: Updates and Implications at the Solid Tumor-Immune Interface. JCO Precis Oncol 2023; 7:e2300132. [PMID: 37343201 PMCID: PMC10309572 DOI: 10.1200/po.23.00132] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/26/2023] [Accepted: 05/04/2023] [Indexed: 06/23/2023] Open
Abstract
Recent larger-scale studies of patients with cancer and longitudinal population cohorts have revealed how age-related expansions of mutant hematopoietic cells (clonal hematopoiesis [CH]) have differential associations with incident and prevalent cancers and their outcomes. Increasing recognition and deeper understanding of genetic subtypes of CH are yielding insights into the tumor-immune interface that may help to explain the heterogeneous impact of CH on tumorigenesis and treatment. Herein, we update the expanding influence of CH in precision oncology and propose important research and clinical questions to address to effectively manage and harness CH in oncology patients.
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Affiliation(s)
- Marco M Buttigieg
- Department of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada
| | - Michael J Rauh
- Department of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada
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Jakubek YA, Reiner AP, Honigberg MC. Risk factors for clonal hematopoiesis of indeterminate potential and mosaic chromosomal alterations. Transl Res 2023; 255:171-180. [PMID: 36414227 PMCID: PMC10135440 DOI: 10.1016/j.trsl.2022.11.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/11/2022] [Accepted: 11/15/2022] [Indexed: 11/21/2022]
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) and mosaic chromosomal alterations (mCAs) of the autosomes, X, and Y chromosomes are aging-related somatic mutations detectable in peripheral blood. The presence of these acquired mutations predisposes otherwise healthy adults to increased risk of several chronic aging-related conditions including hematologic cancers, atherosclerotic cardiovascular diseases, other inflammatory conditions, and mortality. While the public health impact and disease associations of these blood-derived somatic mutations continue to expand, the inherited, behavioral/lifestyle, environmental risk factors and comorbid conditions that influence their occurrence and progression have been less well characterized. Age is the strongest risk factor for all types of CHIP and mCAs. CHIP and mCAs are generally more common in individuals of European than non-European ancestry. Evidence for a genetic predisposition has been strongest for mosaic loss of Y chromosome in men. Genome-wide association studies have recently begun to identify common and rare germline genetic variants associated with CHIP and mCAs. These loci include genes involving cell cycle regulation, cell proliferation/survival, hematopoietic progenitor cell regulation, DNA damage repair, and telomere maintenance. Some loci, such as TERT, ATM, TP53, CHEK2, and TCL1A, have overlapping associations with different types of CHIP, mCAs, and cancer predisposition. Various environmental or co-morbid contexts associated with presence or expansion of specific CHIP or mCA mutations are beginning to be elucidated, such as cigarette smoking, diet, cancer chemotherapy, particulate matter, and premature menopause. Further characterization of the germline genetic and environmental correlates of CHIP/mCAs may inform our ability to modify their progression and ultimately reduce the risk and burden of chronic diseases associated with these clonal somatic phenomena.
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Affiliation(s)
- Yasminka A Jakubek
- Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, Kentucky
| | - Alexander P Reiner
- Division of Public Health Sciences, Fred Hutchinson Center Research Center, Seattle, Washington; Department of Epidemiology, University of Washington, Seattle, Washington.
| | - Michael C Honigberg
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
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57
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Weeks LD, Niroula A, Neuberg D, Wong W, Lindsley RC, Luskin M, Berliner N, Stone RM, DeAngelo DJ, Soiffer R, Uddin MM, Griffin G, Vlasschaert C, Gibson CJ, Jaiswal S, Bick AG, Malcovati L, Natarajan P, Ebert BL. Prediction of risk for myeloid malignancy in clonal hematopoiesis. NEJM EVIDENCE 2023; 2:10.1056/evidoa2200310. [PMID: 37483562 PMCID: PMC10361696 DOI: 10.1056/evidoa2200310] [Citation(s) in RCA: 77] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Background Clonal hematopoiesis of indeterminate potential (CHIP) and clonal cytopenia of undetermined significance (CCUS) are defined by somatic mutations in genes associated with myeloid neoplasms (MN) at a variant allele fraction (VAF) ≥ 0.02, in the absence and presence of cytopenia, respectively. CHIP/CCUS is highly prevalent in adults and defining predictors of MN risk would aid clinical management and research. Methods We analyzed sequenced exomes of healthy UK Biobank (UKB) participants (n = 438,890) in separate derivation and validation cohorts. Genetic mutations, laboratory values, and MN outcomes were used in conditional probability-based recursive partitioning and Cox regression to determine predictors of incident MN. Combined statistical weights defined a clonal hematopoiesis risk score (CHRS). Independent CHIP/CCUS patient cohorts were used to test prognostic capability of the CHRS in the clinical setting. Results Recursive partitioning distinguished CHIP/CCUS cases with 10-year probabilities of MN ranging from 0.0078 - 0.85. Multivariable analysis validated partitioning variables as predictors of MN. Key features, including single DNMT3A mutations, high risk mutations, ≥ 2 mutations, VAF ≥ 0.2, age ≥ 65 years, CCUS vs CHIP and red blood cell indices, influenced MN risk in variable direction. The CHRS defined low risk (n = 10018, 88.4%), intermediate risk (n = 1196, 10.5%), and high risk (n = 123, 1.1%) groups. In clinical cohorts, most MN events occurred in high risk CHIP/CCUS patients. Conclusions The CHRS provides simple prognostic framework for CHIP/CCUS, distinguishing a high risk minority from the majority of CHIP/CCUS which has minimal risk for progression to MN.
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Affiliation(s)
- Lachelle D. Weeks
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Center for Prevention of Progression, Dana-Farber Cancer Institute, Boston, MA
| | - Abhishek Niroula
- Broad Institute of MIT and Harvard University, Cambridge, MA
- Department of Lab Medicine, Lund University, Lund, Sweden
| | - Donna Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Waihay Wong
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | - R. Coleman Lindsley
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Marlise Luskin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Nancy Berliner
- Department of Medicine, Harvard Medical School, Boston, MA
- Department of Hematology, Brigham and Women’s Hospital, Boston, MA
| | - Richard M. Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Daniel J. DeAngelo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Robert Soiffer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Center for Prevention of Progression, Dana-Farber Cancer Institute, Boston, MA
| | - Md Mesbah Uddin
- Cardiovascular Research Center, Massachusetts General Hospital, 185 Cambridge Street, CPZN 3.184, Boston, MA
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Gabriel Griffin
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Christopher J. Gibson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | | | - Alexander G. Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN
| | - Luca Malcovati
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Department of Hematology Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo Foundation, Pavia, Italy
| | - Pradeep Natarajan
- Department of Medicine, Harvard Medical School, Boston, MA
- Cardiovascular Research Center, Massachusetts General Hospital, 185 Cambridge Street, CPZN 3.184, Boston, MA
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Benjamin L. Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Center for Prevention of Progression, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of MIT and Harvard University, Cambridge, MA
- Howard Hughes Medical Institute, Boston, MA
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58
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Weinstock JS, Laurie CA, Broome JG, Taylor KD, Guo X, Shuldiner AR, O’Connell JR, Lewis JP, Boerwinkle E, Barnes KC, Chami N, Kenny EE, Loos RJ, Fornage M, Redline S, Cade BE, Gilliland FD, Chen Z, Gauderman WJ, Kumar R, Grammer L, Schleimer RP, Psaty BM, Bis JC, Brody JA, Silverman EK, Yun JH, Qiao D, Weiss ST, Lasky-Su J, DeMeo DL, Palmer ND, Freedman BI, Bowden DW, Cho MH, Vasan RS, Johnson AD, Yanek LR, Becker LC, Kardia S, He J, Kaplan R, Heckbert SR, Smith NL, Wiggins KL, Arnett DK, Irvin MR, Tiwari H, Correa A, Raffield LM, Gao Y, de Andrade M, Rotter JI, Rich SS, Manichaikul AW, Konkle BA, Johnsen JM, Wheeler MM, Custer BS, Duggirala R, Curran JE, Blangero J, Gui H, Xiao S, Williams LK, Meyers DA, Li X, Ortega V, McGarvey S, Gu CC, Chen YDI, Lee WJ, Shoemaker MB, Darbar D, Roden D, Albert C, Kooperberg C, Desai P, Blackwell TW, Abecasis GR, Smith AV, Kang HM, Mathias R, Natarajan P, Jaiswal S, Reiner AP, Bick AG. The genetic determinants of recurrent somatic mutations in 43,693 blood genomes. SCIENCE ADVANCES 2023; 9:eabm4945. [PMID: 37126548 PMCID: PMC10132750 DOI: 10.1126/sciadv.abm4945] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 03/24/2023] [Indexed: 05/03/2023]
Abstract
Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid lineage commitment. In addition, the presence of eight specific RNMSMs associated with blood cell traits at effect sizes comparable to Mendelian genetic mutations. Overall, we found that somatic mutations in blood are an unexpectedly common phenomenon with ancestry-specific determinants and human health consequences.
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Affiliation(s)
- Joshua S. Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Cecelia A. Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jai G. Broome
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Alan R. Shuldiner
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD 21201, USA
| | - Jeffrey R. O’Connell
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD 21201, USA
| | - Joshua P. Lewis
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD 21201, USA
| | - Eric Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Kathleen C. Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Nathalie Chami
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eimear E. Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ruth J. F. Loos
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Brian E. Cade
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Frank D. Gilliland
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Zhanghua Chen
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - W. James Gauderman
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Rajesh Kumar
- Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Leslie Grammer
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | | | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Jeong H. Yun
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Scott T. Weiss
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Jessica Lasky-Su
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Dawn L. DeMeo
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Michael H. Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Ramachandran S. Vasan
- National Heart, Lung, and Blood Institute’s, Boston University’s Framingham Heart Study, Framingham, MA 01701, USA
| | - Andrew D. Johnson
- National Heart, Lung, and Blood Institute’s, Boston University’s Framingham Heart Study, Framingham, MA 01701, USA
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA 01701, USA
| | - Lisa R. Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Lewis C. Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sharon Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Susan R. Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA 98101, USA
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA 98101, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA 98108, USA
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Donna K. Arnett
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY 40506, USA
| | | | - Hemant Tiwari
- University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Adolfo Correa
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yan Gao
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Stephen S. Rich
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
| | - Ani W. Manichaikul
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
| | - Barbara A. Konkle
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jill M. Johnsen
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Research Institute, Bloodworks Northwest, Seattle, WA 98102, USA
| | | | | | - Ravindranath Duggirala
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Joanne E. Curran
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - John Blangero
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Hongsheng Gui
- Center for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI 48202, USA
- Department of Medicine, Henry Ford Health System, Detroit, MI 48202, USA
| | - Shujie Xiao
- Center for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI 48202, USA
- Department of Medicine, Henry Ford Health System, Detroit, MI 48202, USA
| | - L. Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI 48202, USA
- Department of Medicine, Henry Ford Health System, Detroit, MI 48202, USA
| | - Deborah A. Meyers
- Division of Genetics, Genomics, and Precision Medicine, University of Arizona, Tucson, AZ 85721, USA
| | - Xingnan Li
- Department of Medicine, University of Arizona, Tucson, AZ 85721, USA
| | - Victor Ortega
- Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
| | - Stephen McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI 02903, USA
| | - C. Charles Gu
- Division of Biostatistics, Washington University School of Medicine, Campus Box 8067, 660 S. Euclid Avenue, St. Louis, MO 63110, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, 1650, Sec. 4, Taiwan Boulevard, Taichung City, Taiwan
| | - M. Benjamin Shoemaker
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Dan Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Christine Albert
- Department of Cardiology, Cedars-Sinai, Los Angeles, CA 90048, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Pinkal Desai
- Division of Hematology and Oncology, Weill Cornell Medicine, New York, NY 10065, USA
- Englander Institute of Precision Medicine, Weill Cornell Medicine, New York 10065, NY, USA
| | - Thomas W. Blackwell
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Goncalo R. Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Regeneron Pharmaceuticals, Tarrytown, NY 10591, USA
| | - Albert V. Smith
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Hyun M. Kang
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Rasika Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | | | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Alexander G. Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN 37232, USA
| | - NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD 21201, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
- Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- National Heart, Lung, and Blood Institute’s, Boston University’s Framingham Heart Study, Framingham, MA 01701, USA
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA 01701, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA 98101, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA 98108, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY 40506, USA
- University of Alabama at Birmingham, Birmingham, AL 35294, USA
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS 39216, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Research Institute, Bloodworks Northwest, Seattle, WA 98102, USA
- Genome Science, University of Washington, Seattle, WA 98195, USA
- Vitalant Research Institute, San Francisco, CA 94105, USA
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
- Center for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI 48202, USA
- Department of Medicine, Henry Ford Health System, Detroit, MI 48202, USA
- Division of Genetics, Genomics, and Precision Medicine, University of Arizona, Tucson, AZ 85721, USA
- Department of Medicine, University of Arizona, Tucson, AZ 85721, USA
- Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI 02903, USA
- Division of Biostatistics, Washington University School of Medicine, Campus Box 8067, 660 S. Euclid Avenue, St. Louis, MO 63110, USA
- Department of Medical Research, Taichung Veterans General Hospital, 1650, Sec. 4, Taiwan Boulevard, Taichung City, Taiwan
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL 60607, USA
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Cardiology, Cedars-Sinai, Los Angeles, CA 90048, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Division of Hematology and Oncology, Weill Cornell Medicine, New York, NY 10065, USA
- Englander Institute of Precision Medicine, Weill Cornell Medicine, New York 10065, NY, USA
- Regeneron Pharmaceuticals, Tarrytown, NY 10591, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN 37232, USA
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59
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Dawoud AA, Tapper WJ, Cross NC. Age-related loss of chromosome Y is associated with levels of sex hormone binding globulin and clonal hematopoiesis defined by TET2, TP53, and CBL mutations. SCIENCE ADVANCES 2023; 9:eade9746. [PMID: 37083525 PMCID: PMC10121166 DOI: 10.1126/sciadv.ade9746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Mosaic loss of the Y-chromosome (LOY) in peripheral blood leukocytes is the most common somatic alteration in men and linked to wide range of malignant and nonmalignant conditions. LOY is associated with age, smoking, and constitutional genetics. Here, we aimed to assess the relationships between LOY, serum biomarkers, and clonal hematopoiesis (CH). LOY in U.K. Biobank was strongly associated with levels of sex hormone binding globulin (SHBG), a key regulator of testosterone bioavailability. Mendelian randomization suggested a causal effect of SHBG on LOY but there was no evidence for an effect of LOY on SHBG. In contrast, age-related CH defined by somatic driver mutations was not associated with SHBG but was associated with LOY at clonal fractions above 30%. TET2, TP53, and CBL mutations were enriched in LOY cases, but JAK2 V617F was depleted. Our findings thus identify independent relationships between LOY, sex hormone levels, and CH.
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Affiliation(s)
- Ahmed A. Z. Dawoud
- School of Medicine, University of Southampton, Southampton, Hampshire SO17 1BJ, UK
- Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, Wiltshire SP2 8BJ, UK
| | - William J. Tapper
- School of Medicine, University of Southampton, Southampton, Hampshire SO17 1BJ, UK
| | - Nicholas C. P. Cross
- School of Medicine, University of Southampton, Southampton, Hampshire SO17 1BJ, UK
- Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, Wiltshire SP2 8BJ, UK
- Corresponding author.
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60
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Mendez LM, Patnaik MM. Clonal Hematopoiesis: Origins and determinants of evolution. Leuk Res 2023; 129:107076. [PMID: 37075557 DOI: 10.1016/j.leukres.2023.107076] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/22/2023] [Accepted: 04/10/2023] [Indexed: 04/21/2023]
Abstract
The accrual of somatic mutations is a byproduct of aging. When a clone bearing a somatic genetic alteration, conferring comparative competitive advantage, displays sufficient outgrowth to become detectable amongst an otherwise polyclonal background in the hematopoietic system, this is called clonal hematopoiesis (CH). Somatic genetic alterations observed in CH include point mutations in cancer related genes, mosaic chromosomal alterations or a combination of these. Interestingly, clonal hematopoiesis (CH) can also occur with somatic variants in genes without a known role in cancer and in the absence of a somatic genetic alteration through a process that has been described as 'genetic drift'. Clonal hematopoiesis of indeterminate significance (CHIP), is age-related and defined by the presence of somatic point mutations in cancer related genes, in the absence of cytopenias or a diagnosis of hematologic neoplasm, with a variant allele fraction ≥ 2 %. Remarkably, the increased mortality associated with CHIP is largely due to cardiovascular disease. Subsequently, CHIP has been associated with a myriad of age-related conditions such as Alzheimer's Disease, osteoporosis, CVA and COPD. CHIP is associated with an increased risk of hematologic malignancies, particularly myeloid neoplasms, with the risk rising with increasing clone size and clonal complexity. Mechanisms regulating clonal evolution and progression to hematologic malignancies remain to be defined. However, observations on context specific CH arising in the setting of bone marrow failure states, or on exposure to chemotherapy and radiation therapy, suggest that CH reflects context specific selection pressures and constraint-escape mechanisms.
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Affiliation(s)
- Lourdes M Mendez
- Section of Hematology, Department of Internal Medicine, Yale Cancer Center and Smilow Cancer Hospital, Yale University School of Medicine, CT, USA
| | - Mrinal M Patnaik
- Division of Hematology, Department of Medicine, Mayo Clinic, MN, USA.
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61
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Otahalova B, Volkova Z, Soukupova J, Kleiblova P, Janatova M, Vocka M, Macurek L, Kleibl Z. Importance of Germline and Somatic Alterations in Human MRE11, RAD50, and NBN Genes Coding for MRN Complex. Int J Mol Sci 2023; 24:ijms24065612. [PMID: 36982687 PMCID: PMC10051278 DOI: 10.3390/ijms24065612] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/11/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
The MRE11, RAD50, and NBN genes encode for the nuclear MRN protein complex, which senses the DNA double strand breaks and initiates the DNA repair. The MRN complex also participates in the activation of ATM kinase, which coordinates DNA repair with the p53-dependent cell cycle checkpoint arrest. Carriers of homozygous germline pathogenic variants in the MRN complex genes or compound heterozygotes develop phenotypically distinct rare autosomal recessive syndromes characterized by chromosomal instability and neurological symptoms. Heterozygous germline alterations in the MRN complex genes have been associated with a poorly-specified predisposition to various cancer types. Somatic alterations in the MRN complex genes may represent valuable predictive and prognostic biomarkers in cancer patients. MRN complex genes have been targeted in several next-generation sequencing panels for cancer and neurological disorders, but interpretation of the identified alterations is challenging due to the complexity of MRN complex function in the DNA damage response. In this review, we outline the structural characteristics of the MRE11, RAD50 and NBN proteins, the assembly and functions of the MRN complex from the perspective of clinical interpretation of germline and somatic alterations in the MRE11, RAD50 and NBN genes.
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Affiliation(s)
- Barbora Otahalova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 12800 Prague, Czech Republic
- Department of Biochemistry, Faculty of Natural Science, Charles University in Prague, 12800 Prague, Czech Republic
| | - Zuzana Volkova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 12800 Prague, Czech Republic
| | - Jana Soukupova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 12800 Prague, Czech Republic
| | - Petra Kleiblova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 12800 Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 12800 Prague, Czech Republic
| | - Marketa Janatova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 12800 Prague, Czech Republic
| | - Michal Vocka
- Department of Oncology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 12800 Prague, Czech Republic
| | - Libor Macurek
- Laboratory of Cancer Cell Biology, Institute of Molecular Genetics, Czech Academy of Sciences, 14220 Prague, Czech Republic
| | - Zdenek Kleibl
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 12800 Prague, Czech Republic
- Institute of Pathological Physiology, First Faculty of Medicine and General University Hospital in Prague, 12853 Prague, Czech Republic
- Correspondence: ; Tel.: +420-22496-4287
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Xie Z, Zeidan AM. CHIPing away the progression potential of CHIP: A new reality in the making. Blood Rev 2023; 58:101001. [PMID: 35989137 DOI: 10.1016/j.blre.2022.101001] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 11/15/2022]
Abstract
Over the past few years, we have gained a deeper understanding of clonal hematopoiesis of indeterminate potential (CHIP), especially with regard to the epidemiology, clinical sequelae, and mechanical aspects. However, interventional strategies to prevent or delay the potential negative consequences of CHIP remain underdeveloped. In this review, we highlight the latest updates on clonal hematopoiesis research, including molecular mechanisms and clinical implications, with a particular focus on the evolving strategies for the interventions that are being evaluated in ongoing observational and interventional trials. There remains an urgent need to formulate standardized and evidence-based recommendations and guidelines for evaluating and managing individuals with clonal hematopoiesis. In addition, patient-centric endpoints must be defined for clinical trials, which will enable us to continue the robust development of effective preventive strategies and improve clinical outcomes.
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Affiliation(s)
- Zhuoer Xie
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Amer M Zeidan
- Section of Hematology, Department of Internal Medicine, Yale Cancer Center and Smilow Cancer Hospital, Yale University School of Medicine, CT, United States.
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63
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Hubbard AK, Brown DW, Machiela MJ. Clonal hematopoiesis due to mosaic chromosomal alterations: Impact on disease risk and mortality. Leuk Res 2023; 126:107022. [PMID: 36706615 PMCID: PMC9974917 DOI: 10.1016/j.leukres.2023.107022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/28/2022] [Accepted: 01/22/2023] [Indexed: 01/25/2023]
Abstract
Mosaic chromosomal alterations (mCAs) are the clonal expansion of large somatically acquired structural chromosomal changes present on the autosomes and sex chromosomes. Most studies of mCAs use existing genotype array intensity data from large populations to investigate potential risk factors and disease outcomes associated with mCAs. In this review, we perform a comprehensive examination of existing evidence for mCA disease and mortality associations and provide a framework for interpreting these associations in the context of important biases specific to mCA studies. Our goal is to motivate well-designed mCA studies to assist in unlocking the potential of mCAs to improve understanding of the effects of ageing and accelerate translational applications for improving public health.
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Affiliation(s)
- Aubrey K Hubbard
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Derek W Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA; Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, USA
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
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64
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Wang A, Xu Y, Yu Y, Nead KT, Kim T, Xu K, Dadaev T, Saunders E, Sheng X, Wan P, Pooler L, Xia LY, Chanock S, Berndt SI, Gapstur SM, Stevens V, Albanes D, Weinstein SJ, Gnanapragasam V, Giles GG, Nguyen-Dumont T, Milne RL, Pomerantz MM, Schmidt JA, Stopsack KH, Mucci LA, Catalona WJ, Hetrick KN, Doheny KF, MacInnis RJ, Southey MC, Eeles RA, Wiklund F, Kote-Jarai Z, de Smith AJ, Conti DV, Huff C, Haiman CA, Darst BF. Clonal hematopoiesis and risk of prostate cancer in large samples of European ancestry men. Hum Mol Genet 2023; 32:489-495. [PMID: 36018819 PMCID: PMC9851740 DOI: 10.1093/hmg/ddac214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 07/31/2022] [Accepted: 08/22/2022] [Indexed: 01/24/2023] Open
Abstract
Little is known regarding the potential relationship between clonal hematopoiesis (CH) of indeterminate potential (CHIP), which is the expansion of hematopoietic stem cells with somatic mutations, and risk of prostate cancer, the fifth leading cause of cancer death of men worldwide. We evaluated the association of age-related CHIP with overall and aggressive prostate cancer risk in two large whole-exome sequencing studies of 75 047 European ancestry men, including 7663 prostate cancer cases, 2770 of which had aggressive disease, and 3266 men carrying CHIP variants. We found that CHIP, defined by over 50 CHIP genes individually and in aggregate, was not significantly associated with overall (aggregate HR = 0.93, 95% CI = 0.76-1.13, P = 0.46) or aggressive (aggregate OR = 1.14, 95% CI = 0.92-1.41, P = 0.22) prostate cancer risk. CHIP was weakly associated with genetic risk of overall prostate cancer, measured using a polygenic risk score (OR = 1.05 per unit increase, 95% CI = 1.01-1.10, P = 0.01). CHIP was not significantly associated with carrying pathogenic/likely pathogenic/deleterious variants in DNA repair genes, which have previously been found to be associated with aggressive prostate cancer. While findings from this study suggest that CHIP is likely not a risk factor for prostate cancer, it will be important to investigate other types of CH in association with prostate cancer risk.
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Affiliation(s)
- Anqi Wang
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yili Xu
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yao Yu
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77230, USA
| | - Kevin T Nead
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77230, USA
| | - TaeBeom Kim
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77230, USA
| | - Keren Xu
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tokhir Dadaev
- The Institute of Cancer Research, London, SM2 5NG, UK
| | - Ed Saunders
- The Institute of Cancer Research, London, SM2 5NG, UK
| | - Xin Sheng
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Peggy Wan
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Loreall Pooler
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Lucy Y Xia
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Stephen Chanock
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sonja I Berndt
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | | | - Demetrius Albanes
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Vincent Gnanapragasam
- Division of Urology, Department of Surgery, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria 3168, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria 3010, Australia
| | - Tu Nguyen-Dumont
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria 3168, Australia
- Department of Clinical Pathology, The University of Melbourne, Victoria 3010, Australia
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria 3168, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria 3010, Australia
| | | | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Aarhus N, DK-8200, Denmark
| | | | - Lorelei A Mucci
- Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - William J Catalona
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Kurt N Hetrick
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Kimberly F Doheny
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria 3010, Australia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria 3168, Australia
- Department of Clinical Pathology, The University of Melbourne, Victoria 3010, Australia
| | - Rosalind A Eeles
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
- The Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK
| | | | | | - Adam J de Smith
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - David V Conti
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Chad Huff
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77230, USA
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Burcu F Darst
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
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65
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Abnormal Platelet Counts and Clonal Hematopoiesis in the General Population. Hemasphere 2023; 7:e821. [PMID: 36698617 PMCID: PMC9829283 DOI: 10.1097/hs9.0000000000000821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 11/21/2022] [Indexed: 01/27/2023] Open
Abstract
Clonal hematopoiesis (CH) is defined by the presence of somatic mutations that may cause clonal expansion of hematopoietic cells. Here, we investigated the association between platelet count abnormalities, CH and consequences on overall survival and the development of hematological malignancies. Individuals with thrombocytopenia (n = 631) or thrombocytosis (n = 178) ≥60 years, and their age- and sex-matched controls, were selected within the population-based Lifelines cohort (n = 167,729). Although the prevalence of CH was not increased in thrombocytopenia cases compared with their controls (37.9% vs 39.3%; P = 0.639), mutations in spliceosome genes (SF3B1, SRSF2, U2AF1) were significantly enriched in thrombocytopenia cases (P = 0.007). Overall, CH in combination with thrombocytopenia did not impact on survival, but thrombocytopenia in combination with multiple mutated genes (hazard ratio [HR] = 2.08, 95% confidence interval [CI], 1.24-3.50; P = 0.006), mutations in TP53 (HR = 5.83, 95% CI, 2.49-13.64; P < 0.001) or spliceosome genes (HR = 2.69, 95% CI, 1.29-5.63; P = 0.009) increased the risk of death. The prevalence of CH in thrombocytosis cases was higher compared with controls (55.8% vs 37.7%; P < 0.001). Especially mutations in JAK2 (P < 0.001) and CALR (P = 0.003) were enriched in individuals with thrombocytosis. The presence of CH in individuals with thrombocytosis did not impact on overall survival. However, during follow-up of 11 years 23% of the individuals with thrombocytosis and CH were diagnosed with hematological malignancies. From these, 81% were diagnosed with myeloproliferative disease and 76% carried driver mutations JAK2, CALR, or MPL.
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66
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Natarajan P. Genomic Aging, Clonal Hematopoiesis, and Cardiovascular Disease. Arterioscler Thromb Vasc Biol 2023; 43:3-14. [PMID: 36353993 PMCID: PMC9780188 DOI: 10.1161/atvbaha.122.318181] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 10/31/2022] [Indexed: 11/11/2022]
Abstract
Chronologic age is the dominant risk factor for coronary artery disease but the features of aging promoting coronary artery disease are poorly understood. Advances in human genetics and population-based genetic profiling of blood cells have uncovered the surprising role of age-related subclinical leukemogenic mutations in blood cells, termed "clonal hematopoiesis of indeterminate potential," in coronary artery disease. Such mutations typically occur in DNMT3A, TET2, ASXL1, and JAK2. Murine and human studies prioritize the role of key inflammatory pathways linking clonal hematopoiesis with coronary artery disease. Increasingly larger, longitudinal, multiomics analyses are enabling further dissection into mechanistic insights. These observations expand the genetic architecture of coronary artery disease, now linking hallmark features of hematologic neoplasia with a much more common cardiovascular condition. Implications of these studies include the prospect of novel precision medicine paradigms for coronary artery disease.
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Affiliation(s)
- Pradeep Natarajan
- Center for Genomic Medicine and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
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67
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Eberhardt RY, Wright CF, FitzPatrick DR, Hurles ME, Firth HV. Detection of mosaic chromosomal alterations in children with severe developmental disorders recruited to the DDD study. GENETICS IN MEDICINE OPEN 2023; 1:100836. [PMID: 39346101 PMCID: PMC11436381 DOI: 10.1016/j.gimo.2023.100836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/01/2024]
Abstract
Purpose Structural mosaicism has been previously implicated in developmental disorders. We aimed to identify rare mosaic chromosomal alterations (MCAs) in probands with severe undiagnosed developmental disorders. Methods We identified MCAs in genotyping array data from 12,530 probands in the Deciphering Developmental Disorders study using mosaic chromosome alterations caller (MoChA). Results We found 61 MCAs in 57 probands, many of these were tissue specific. In 23 of 26 (88.5%) cases for which the MCA was detected in saliva in which blood was also available for analysis, the MCA could not be detected in blood. The MCAs included 20 polysomies, comprising either 1 arm of a chromosome or a whole chromosome, for which we were able to show the timing of the error (25% mitosis, 40% meiosis I, and 35% meiosis II). Only 2 of 57 (3.5%) of the probands in whom we found MCAs had another likely genetic diagnosis identified by exome sequencing, despite an overall diagnostic yield of ∼40% across the cohort. Conclusion Our results show that identification of MCAs provides candidate diagnoses for previously undiagnosed patients with developmental disorders, potentially explaining ∼0.45% of cases in the Deciphering Developmental Disorders study. Nearly 90% of these MCAs would have remained undetected by analyzing DNA from blood and no other tissue.
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Affiliation(s)
- Ruth Y Eberhardt
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, Hinxton, United Kingdom
| | - Caroline F Wright
- University of Exeter Medical School, Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, Exeter, United Kingdom
| | - David R FitzPatrick
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Matthew E Hurles
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, Hinxton, United Kingdom
| | - Helen V Firth
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, Hinxton, United Kingdom
- Cambridge University Hospitals NHS Foundation Trust, Clinical Genetics, Addenbrooke's Hospital, Cambridge, United Kingdom
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68
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Zhang Z, Sun J. The Origin of Clonal Hematopoiesis and Its Implication in Human Diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1442:65-83. [PMID: 38228959 DOI: 10.1007/978-981-99-7471-9_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Clonal expansion of hematopoietic cells is first observed in hematological malignancies where all the leukemic cells can be traced back to a single cell carrying oncogenic alterations. Interestingly, expansion of hematopoietic clones with defined genomic alterations, including single nucleotide variants (SNVs), small insertions and deletions (indels), and large structural chromosomal alterations (CAs), is also found in the healthy population. These genomic changes often affect leukemia driver genes. As a result, healthy individuals bearing such clonal hematopoiesis (CH) are at a higher risk of hematological malignancies. In addition to blood cancers, SNV/indel-related CH has been found associated with elevated cardiovascular and all-cause mortality, indicating adverse impacts of abnormalities in the blood on the normal functions of non-hematological tissues. In the past decade, much effort has been invested in understanding the origins of CH and its causal relationship with diseases in hematological and non-hematological tissues. Here, we review recent progress in these areas and discuss future directions that can be pursued to translate the acquired knowledge into better management of CH-related diseases.
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Affiliation(s)
- Zhen Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Jianlong Sun
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
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Qin N, Wang C, Chen C, Yang L, Liu S, Xiang J, Xie Y, Liang S, Zhou J, Xu X, Zhao X, Zhu M, Jin G, Ma H, Dai J, Hu Z, Shen H. Association of the interaction between mosaic chromosomal alterations and polygenic risk score with the risk of lung cancer: an array-based case-control association and prospective cohort study. Lancet Oncol 2022; 23:1465-1474. [PMID: 36265503 DOI: 10.1016/s1470-2045(22)00600-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/13/2022] [Accepted: 09/15/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Mosaic chromosomal alterations (mCAs) detected from blood-derived DNA are large structural alterations of clonal haematopoietic origin and are associated with various diseases, such as haematological malignancies, infections, and solid cancers. We aimed to investigate whether mCAs contribute to the risk of lung cancer and modify the effect of polygenic risk score (PRS) on lung cancer risk prediction. METHODS The blood-derived DNA of patients with lung cancer and cancer-free controls with Chinese ancestry from the Nanjing Lung Cancer Cohort (NJLCC) study were genotyped with a Global Screening Array, and mCAs were detected with the Mosaic Chromosomal Alterations (MoChA) pipeline. mCA call sets of individuals with European ancestry were obtained from the prospective cohort UK Biobank (UKB) study, including documented incident lung cancer. All patients with lung cancer from the NJLCC study (aged 15 years or older at diagnosis) were histopathologically confirmed as new lung cancer cases by at least two pathologists and were free of chemotherapy or radiotherapy before diagnosis. Participants with incident lung cancer (aged 37-73 years at assessment) diagnosed after recruitment to the UKB were identified through linkage to national cancer registries. Logistic regression and Cox proportional hazard models were applied to evaluate associations between mCAs and risk of lung cancer in the NJLCC (logistic regression) and UKB (Cox proportional hazard model) studies. FINDINGS The NJLCC study included 10 248 individuals (6445 [62·89%] men and 3803 [37·11%] women; median age 60·0 years [IQR 53·0-66·0]) with lung cancer and 9298 individuals (5871 [63·14%] men and 3427 [36·86%] women; median age 60·0 years [52·0-65·0]) without lung cancer recruited from three sub-regions (north, central, and south) across China between April 15, 2003, and Aug 18, 2017. The UKB included 450 821 individuals recruited from 22 centres across the UK between March 13, 2006, and Nov 1, 2010, including 2088 individuals with lung cancer (1075 [51·48%] men and 1013 [48·52%] women; median age 63·0 years [IQR 59·0-66·0]), and 448 733 participants were free of lung cancer (204 713 [45·62%] men and 244 020 [54·38%] women; median age 58·0 years [IQR 50·0-63·0]). Compared with non-carriers of mosaic losses, carriers had a significantly increased risk of lung cancer in the NJLCC (odds ratio [OR] 1·81, 95% CI 1·43-2·28; p=6·69 × 10-7) and UKB (hazard ratio [HR] 1·40, 95% CI 1·00-1·95; p=0·048) studies. This increased risk was even higher in patients with expanded cell fractions of mCAs (ie, cell fractions ≥10% vs cell fractions <10%) in the NJLCC (OR 1·61 [95% CI 1·26-2·08] vs 1·03 [0·83-1·26]; p for heterogeneity test=6·41 × 10-3). A significant multiplicative interaction was observed between PRS and mosaic losses on the risk of lung cancer in both the NJLCC (interaction p value=0·030) and UKB (p=0·043). Compared with non-carriers of mosaic loss abnormalities with low genetic risk, participants with expanded mosaic losses (cell fractions ≥10%) and high genetic risk had around a six-times increased risk of lung cancer in the NJLCC study (OR 6·40 [95% CI 3·22-12·69]), and an almost four-times increased risk of lung cancer (HR 3·75 [95% CI 1·86-7·55]) in the UKB study. The additive interaction also contributed a 3·67 (95% CI 0·49-6·85) relative excess risk of developing lung cancer in the NJLCC study, and a 2·15 (0·12-4·19) relative excess risk in the UKB study. INTERPRETATION mCAs act as a new endogenous indicator for the risk of lung cancer and might be jointly used with PRS to optimise personalised risk stratification for lung cancer. FUNDING National Natural Science Foundation of China, Outstanding Youth Foundation of Jiangsu Province, Natural Science Foundation of Jiangsu Province, and Postdoctoral Science Foundation of China. TRANSLATION For the Chinese translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Na Qin
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Centre for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Cheng Wang
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Centre for Cancer Medicine, Nanjing Medical University, Nanjing, China; Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Congcong Chen
- Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Liu Yang
- Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Su Liu
- Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jun Xiang
- Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yuan Xie
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Shuang Liang
- Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jun Zhou
- Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xianfeng Xu
- Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiaoyu Zhao
- Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Centre for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Centre for Cancer Medicine, Nanjing Medical University, Nanjing, China; State Key Laboratory of Reproductive Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Centre for Cancer Medicine, Nanjing Medical University, Nanjing, China; State Key Laboratory of Reproductive Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Nanjing, China; Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
| | - Juncheng Dai
- Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Centre for Cancer Medicine, Nanjing Medical University, Nanjing, China; State Key Laboratory of Reproductive Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Centre for Cancer Medicine, Nanjing Medical University, Nanjing, China; State Key Laboratory of Reproductive Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Nanjing, China.
| | - Hongbing Shen
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Centre for Cancer Medicine, Nanjing Medical University, Nanjing, China; Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China.
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70
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Hujoel MLA, Sherman MA, Barton AR, Mukamel RE, Sankaran VG, Terao C, Loh PR. Influences of rare copy-number variation on human complex traits. Cell 2022; 185:4233-4248.e27. [PMID: 36306736 PMCID: PMC9800003 DOI: 10.1016/j.cell.2022.09.028] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 07/22/2022] [Accepted: 09/19/2022] [Indexed: 11/06/2022]
Abstract
The human genome contains hundreds of thousands of regions harboring copy-number variants (CNV). However, the phenotypic effects of most such polymorphisms are unknown because only larger CNVs have been ascertainable from SNP-array data generated by large biobanks. We developed a computational approach leveraging haplotype sharing in biobank cohorts to more sensitively detect CNVs. Applied to UK Biobank, this approach accounted for approximately half of all rare gene inactivation events produced by genomic structural variation. This CNV call set enabled a detailed analysis of associations between CNVs and 56 quantitative traits, identifying 269 independent associations (p < 5 × 10-8) likely to be causally driven by CNVs. Putative target genes were identifiable for nearly half of the loci, enabling insights into dosage sensitivity of these genes and uncovering several gene-trait relationships. These results demonstrate the ability of haplotype-informed analysis to provide insights into the genetic basis of human complex traits.
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Affiliation(s)
- Margaux L A Hujoel
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Maxwell A Sherman
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alison R Barton
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Bioinformatics and Integrative Genomics Program, Harvard Medical School, Boston, MA, USA
| | - Ronen E Mukamel
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vijay G Sankaran
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan; Department of Applied Genetics, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
| | - Po-Ru Loh
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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71
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Germline-somatic JAK2 interactions are associated with clonal expansion in myelofibrosis. Nat Commun 2022; 13:5284. [PMID: 36075929 PMCID: PMC9458655 DOI: 10.1038/s41467-022-32986-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 08/25/2022] [Indexed: 12/13/2022] Open
Abstract
Myelofibrosis is a rare myeloproliferative neoplasm (MPN) with high risk for progression to acute myeloid leukemia. Our integrated genomic analysis of up to 933 myelofibrosis cases identifies 6 germline susceptibility loci, 4 of which overlap with previously identified MPN loci. Virtual karyotyping identifies high frequencies of mosaic chromosomal alterations (mCAs), with enrichment at myelofibrosis GWAS susceptibility loci and recurrently somatically mutated MPN genes (e.g., JAK2). We replicate prior MPN associations showing germline variation at the 9p24.1 risk haplotype confers elevated risk of acquiring JAK2V617F mutations, demonstrating with long-read sequencing that this relationship occurs in cis. We also describe recurrent 9p24.1 large mCAs that selectively retained JAK2V617F mutations. Germline variation associated with longer telomeres is associated with increased myelofibrosis risk. Myelofibrosis cases with high-frequency JAK2 mCAs have marked reductions in measured telomere length – suggesting a relationship between telomere biology and myelofibrosis clonal expansion. Our results advance understanding of the germline-somatic interaction at JAK2 and implicate mCAs involving JAK2 as strong promoters of clonal expansion of those mutated clones. Myelofibrosis is a risk factor for the development of Acute Myeloid Leukaemia. Here, the authors carry out an integrated genomic investigation of 933 myelofibrosis patients, and identified interactions between germline and somatic variation in patients who required haematopoietic cell transplantation.
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72
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Genovese G, Mello CJ, Loh PR, Handsaker RE, Kashin S, Whelan CW, Bayer-Zwirello LA, McCarroll SA. Chromosomal phase improves aneuploidy detection in non-invasive prenatal testing at low fetal DNA fractions. Sci Rep 2022; 12:12025. [PMID: 35835769 PMCID: PMC9283487 DOI: 10.1038/s41598-022-14049-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/31/2022] [Indexed: 11/09/2022] Open
Abstract
Non-invasive prenatal testing (NIPT) to detect fetal aneuploidy by sequencing the cell-free DNA (cfDNA) in maternal plasma is being broadly adopted. To detect fetal aneuploidies from maternal plasma, where fetal DNA is mixed with far-larger amounts of maternal DNA, NIPT requires a minimum fraction of the circulating cfDNA to be of placental origin, a level which is usually attained beginning at 10 weeks gestational age. We present an approach that leverages the arrangement of alleles along homologous chromosomes—also known as chromosomal phase—to make NIPT analyses more conclusive. We validate our approach with in silico simulations, then re-analyze data from a pregnant mother who, due to a fetal DNA fraction of 3.4%, received an inconclusive aneuploidy determination through NIPT. We find that the presence of a trisomy 18 fetus can be conclusively inferred from the patient’s same molecular data when chromosomal phase is incorporated into the analysis. Key to the effectiveness of our approach is the ability of homologous chromosomes to act as natural controls for each other and the ability of chromosomal phase to integrate subtle quantitative signals across very many sequence variants. These results show that chromosomal phase increases the sensitivity of a common laboratory test, an idea that could also advance cfDNA analyses for cancer detection.
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Affiliation(s)
- Giulio Genovese
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA. .,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA. .,Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
| | - Curtis J Mello
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - Po-Ru Loh
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Robert E Handsaker
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - Seva Kashin
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - Christopher W Whelan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - Lucy A Bayer-Zwirello
- Steward St. Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA, 02135, USA
| | - Steven A McCarroll
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
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73
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Zuffardi O, Fichera M, Bonaglia MC. The embryo battle against adverse genomes: Are de novo terminal deletions the rescue of unfavorable zygotic imbalances? Eur J Med Genet 2022; 65:104532. [PMID: 35724817 DOI: 10.1016/j.ejmg.2022.104532] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 04/02/2022] [Accepted: 05/21/2022] [Indexed: 11/03/2022]
Abstract
De novo distal deletions are structural variants considered to be already present in the zygote. However, investigations especially in the prenatal setting have documented that they are often in mosaic with cell lines in which the same deleted chromosome shows different types of aberrations such as: 1) neutral copy variants with loss of heterozygosity that replace the deleted region with equivalent portions of the homologous chromosome and create distal uniparental disomy (UPD); 2) derivative chromosomes where the deleted one ends with the distal region of another chromosome or has the shape of a ring; 3) U-type mirror dicentric or inv-dup del rearrangements. Unstable dicentrics had already been entailed as causative of terminal deletions even when no trace of the reciprocal inv-dup del had been detected. To clarify the mechanism of origin of distal deletions, we examined PubMed using as keywords: complex/mosaic chromosomal deletions, distal UPD, U-type dicentrics, inv-dup del chromosomes, excluding the recurrent inv-dup del(8p)s which are known to originate by NAHR at the maternal meiosis. The literature has shown that U-type dicentrics leading to nearly complete trisomy and therefore incompatible with zygotic survival underlie many types of de novo unbalanced rearrangements, including terminal deletions. In the early embryo, the position of the postzygotic breaks of the dicentric, the different ways of acquiring telomeres by the broken portions and the selection of the most favorable cell lines in the different tissues determine the prevalence of one or the other rearrangement. Multiple lines with simple terminal deletions, inv-dup dels, unbalanced translocations and segmental UPDs can coexist in various mosaic combinations although it is rare to identify them all in the blood. Regarding the origin of the dicentric, among the 30 cases of non-recurrent inv-dup del with sufficient genotyping information, paternal origin was markedly prevalent with consistently identical polymorphisms within the duplication region, regardless of parental origin. The non-random parental origin made any postzygotic origin unlikely and suggested the occurrence of these dicentrics mainly in spermatogenesis. This study strengthens the evidence that non-recurrent de novo structural rearrangements are often secondary to the rescue of a zygotic genome incompatible with embryo survival.
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Affiliation(s)
- Orsetta Zuffardi
- Department of Molecular Medicine, University of Pavia, Pavia, Italy.
| | - Marco Fichera
- Department of Biomedical and Biotechnological Sciences, Medical Genetics, University of Catania, Catania, Italy; Oasi Research Institute-IRCCS, Troina, Italy.
| | - Maria Clara Bonaglia
- Cytogenetics Laboratory, Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy.
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74
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Haring B, Wissel S, Manson JE. Somatic Mutations and Clonal Hematopoiesis as Drivers of Age-Related Cardiovascular Risk. Curr Cardiol Rep 2022; 24:1049-1058. [PMID: 35657494 PMCID: PMC9329391 DOI: 10.1007/s11886-022-01724-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/17/2022] [Indexed: 12/01/2022]
Abstract
Purpose of Review Clonal hematopoiesis of indeterminate potential (CHIP) has been identified as a novel cardiovascular risk factor. Here we review the relationship of lifestyle and environmental risk factors predisposing to somatic mutations and CHIP and provide an overview on age-related cardiovascular outcomes. Recent Findings CHIP has been associated with accelerated atherosclerosis and cardiovascular disease in both epidemiological and experimental studies. The most commonly mutated candidate driver genes are DNMT3A, TET2, JAK2, and ASXL1. The underlying mechanisms appear predominantly related to inflammatory pathways. Although age is the dominant risk factor for developing CHIP, emerging evidence suggests that other factors such as smoking, obesity/type 2 diabetes, or an unhealthy diet play a role in the occurrence of somatic mutations. Summary Evidence suggests a strong link between vascular risk factors, somatic hematopoietic mutations, and age-related cardiovascular disease. Further studies on CHIP biology are required to identify targeted interventions for risk reduction in patients with CHIP and inform the utility of screening strategies.
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Affiliation(s)
- Bernhard Haring
- Department of Medicine III, Saarland University Hospital, Homburg, Saarland, Germany. .,Department of Medicine I, University of Würzburg, Würzburg, Bavaria, Germany. .,Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - Stephanie Wissel
- Department of Medicine I, University of Würzburg, Würzburg, Bavaria, Germany
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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75
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Kakuta Y, Iwaki H, Umeno J, Kawai Y, Kawahara M, Takagawa T, Shimoyama Y, Naito T, Moroi R, Kuroha M, Shiga H, Watanabe K, Nakamura S, Nakase H, Sasaki M, Hanai H, Fuyuno Y, Hirano A, Matsumoto T, Kudo H, Minegishi N, Nakamura M, Hisamatsu T, Andoh A, Nagasaki M, Tokunaga K, Kinouchi Y, Masamune A. Crohn's Disease and Early Exposure to Thiopurines are Independent Risk Factors for Mosaic Chromosomal Alterations in Patients with Inflammatory Bowel Diseases. J Crohns Colitis 2022; 16:643-655. [PMID: 34751398 DOI: 10.1093/ecco-jcc/jjab199] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND AIMS Mosaic chromosomal alterations [mCAs] increase the risk for haematopoietic malignancies and may be risk factors for several other diseases. Inflammatory bowel diseases [IBDs], including Crohn's disease [CD] and ulcerative colitis [UC], are associated with mCAs, and patients may be at risk for haematopoietic malignancy development and/or modification of IBD phenotypes. In the present study, we screened patients with IBD for the presence of mCAs and explored the possible pathophysiological and genetic risk factors for mCAs. METHODS We analysed mCAs in peripheral blood from 3339 patients with IBD and investigated the clinical and genetic risk factors for mCAs. RESULTS CD and exposure to thiopurines before the age of 20 years were identified as novel independent risk factors for mCAs [odds ratio = 2.15 and 5.68, p = 1.17e-2 and 1.60e-3, respectively]. In contrast, there were no significant associations of disease duration, anti-tumour necrosis factor alpha antibodies, or other clinical factors with mCAs. Gene ontology enrichment analysis revealed that genes specifically located in the mCAs in patients with CD were significantly associated with factors related to mucosal immune responses. A genome-wide association study revealed that ERBIN, CD96, and AC068672.2 were significantly associated with mCAs in patients with CD [p = 1.56e-8, 1.65e-8, and 4.92e-8, respectively]. CONCLUSIONS The difference in mCAs between patients with CD and UC supports the higher incidence of haematopoietic malignancies in CD. Caution should be exercised when using thiopurines in young patients with IBD, particularly CD, in light of possible chromosomal alterations.
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Affiliation(s)
- Yoichi Kakuta
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hideya Iwaki
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Junji Umeno
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yosuke Kawai
- National Center for Global Health and Medicine, Tokyo, Japan
| | - Masahiro Kawahara
- Division of Gastroenterology and Hematology, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Tetsuya Takagawa
- Center for Inflammatory Bowel Disease, Division of Internal Medicine, Hyogo College of Medicine, Nishinomiya, Japan
| | - Yusuke Shimoyama
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takeo Naito
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Rintaro Moroi
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masatake Kuroha
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hisashi Shiga
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kenji Watanabe
- Center for Inflammatory Bowel Disease, Division of Internal Medicine, Hyogo College of Medicine, Nishinomiya, Japan
| | - Shiro Nakamura
- Center for Inflammatory Bowel Disease, Division of Internal Medicine, Hyogo College of Medicine, Nishinomiya, Japan
| | - Hiroshi Nakase
- Department of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Makoto Sasaki
- Division of Gastroenterology, Department of Internal Medicine, Aichi Medical University School of Medicine, Nagakute, Japan
| | | | - Yuta Fuyuno
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Atsushi Hirano
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takayuki Matsumoto
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Division of Gastroenterology, Department of Internal Medicine, Iwate Medical University, Morioka, Japan
| | - Hisaaki Kudo
- Department of Biobank, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoko Minegishi
- Department of Biobank, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Minoru Nakamura
- Clinical Research Center, National Hospital Organization [NHO] Nagasaki Medical Center, Omura, Japan
| | - Tadakazu Hisamatsu
- Department of Gastroenterology and Hepatology, Kyorin University School of Medicine, Mitaka, Japan
| | - Akira Andoh
- Division of Gastroenterology and Hematology, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Masao Nagasaki
- Human Biosciences Unit for the Top Global Course Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan
| | | | - Yoshitaka Kinouchi
- Student Healthcare Center, Institute for Excellence in Higher Education, Tohoku University, Sendai, Japan
| | - Atsushi Masamune
- Division of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan
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76
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Levin MG, Nakao T, Zekavat SM, Koyama S, Bick AG, Niroula A, Ebert B, Damrauer SM, Natarajan P. Genetics of smoking and risk of clonal hematopoiesis. Sci Rep 2022; 12:7248. [PMID: 35508625 PMCID: PMC9068754 DOI: 10.1038/s41598-022-09604-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 03/25/2022] [Indexed: 11/12/2022] Open
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) and mosaic chromosomal alterations (mCAs) represent two forms of clonal hematopoiesis where clones bearing expanded somatic mutations have been linked to both oncologic and non-oncologic clinical outcomes including atherosclerosis and all-cause mortality. Epidemiologic studies have highlighted smoking as an important driver of somatic mutations across multiple tissues. However, establishing the causal role of smoking in clonal hematopoiesis has been limited by observational study designs, which may suffer from confounding and reverse-causality. We performed two complementary analyses to investigate the role of smoking in mCAs and CHIP. First, using an observational study design among UK Biobank participants, we confirmed strong associations between smoking and mCAs. Second, using two-sample Mendelian randomization, smoking was strongly associated with mCA but not with CHIP. Overall, these results support a causal association between smoking and mCAs and suggest smoking may variably shape the fitness of clones bearing somatic mutations.
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Affiliation(s)
- Michael G Levin
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Tetsushi Nakao
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, 185 Cambridge Street, CPZN 3.184, Boston, MA, 02114, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Seyedeh M Zekavat
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Yale University School of Medicine, New Haven, CT, USA
| | - Satoshi Koyama
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Alexander G Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Abhishek Niroula
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Benjamin Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Scott M Damrauer
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Cardiovascular Research Center, Massachusetts General Hospital, 185 Cambridge Street, CPZN 3.184, Boston, MA, 02114, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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77
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Liu JZ, Chen CY, Tsai EA, Whelan CD, Sexton D, John S, Runz H. The burden of rare protein-truncating genetic variants on human lifespan. NATURE AGING 2022; 2:289-294. [PMID: 37117740 PMCID: PMC10154195 DOI: 10.1038/s43587-022-00182-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 01/20/2022] [Indexed: 04/30/2023]
Abstract
Genetic predisposition has been shown to contribute substantially to the age at which we die. Genome-wide association studies (GWASs) have linked more than 20 loci to phenotypes related to human lifespan1. However, little is known about how lifespan is impacted by gene loss of function. Through whole-exome sequencing of 352,338 UK Biobank participants of European ancestry, we assessed the relevance of protein-truncating variant (PTV) gene burden on individual and parental survival. We identified four exome-wide significant (P < 4.2 × 10-7) human lifespan genes, BRCA1, BRCA2, ATM and TET2. Gene and gene-set, PTV-burden, phenome-wide association studies support known roles of these genes in cancer to impact lifespan at the population level. The TET2 PTV burden was associated with a lifespan through somatic mutation events presumably due to clonal hematopoiesis. The overlap between PTV burden and common variant-based lifespan GWASs was modest, underscoring the value of exome sequencing in well-powered biobank cohorts to complement GWASs for identifying genes underlying complex traits.
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Affiliation(s)
- Jimmy Z Liu
- Translational Biology, Research & Development, Biogen Inc., Cambridge, MA, USA.
| | - Chia-Yen Chen
- Translational Biology, Research & Development, Biogen Inc., Cambridge, MA, USA
| | - Ellen A Tsai
- Translational Biology, Research & Development, Biogen Inc., Cambridge, MA, USA
| | | | - David Sexton
- Translational Biology, Research & Development, Biogen Inc., Cambridge, MA, USA
| | - Sally John
- Translational Biology, Research & Development, Biogen Inc., Cambridge, MA, USA
| | - Heiko Runz
- Translational Biology, Research & Development, Biogen Inc., Cambridge, MA, USA.
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78
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Watt SM, Hua P, Roberts I. Increasing Complexity of Molecular Landscapes in Human Hematopoietic Stem and Progenitor Cells during Development and Aging. Int J Mol Sci 2022; 23:3675. [PMID: 35409034 PMCID: PMC8999121 DOI: 10.3390/ijms23073675] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/21/2022] [Accepted: 03/23/2022] [Indexed: 02/05/2023] Open
Abstract
The past five decades have seen significant progress in our understanding of human hematopoiesis. This has in part been due to the unprecedented development of advanced technologies, which have allowed the identification and characterization of rare subsets of human hematopoietic stem and progenitor cells and their lineage trajectories from embryonic through to adult life. Additionally, surrogate in vitro and in vivo models, although not fully recapitulating human hematopoiesis, have spurred on these scientific advances. These approaches have heightened our knowledge of hematological disorders and diseases and have led to their improved diagnosis and therapies. Here, we review human hematopoiesis at each end of the age spectrum, during embryonic and fetal development and on aging, providing exemplars of recent progress in deciphering the increasingly complex cellular and molecular hematopoietic landscapes in health and disease. This review concludes by highlighting links between chronic inflammation and metabolic and epigenetic changes associated with aging and in the development of clonal hematopoiesis.
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Affiliation(s)
- Suzanne M. Watt
- Stem Cell Research, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9BQ, UK
- Myeloma Research Laboratory, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, North Terrace, Adelaide 5005, Australia
- Cancer Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide 5001, Australia
| | - Peng Hua
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 210029, China;
| | - Irene Roberts
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, and NIHR Oxford Biomedical Research Centre Haematology Theme, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, UK;
- Department of Paediatrics and NIHR Oxford Biomedical Research Centre Haematology Theme, University of Oxford, Oxford OX3 9DU, UK
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79
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Alagpulinsa DA, Toribio MP, Alhallak I, Shmookler Reis RJ. Advances in understanding the molecular basis of clonal hematopoiesis. Trends Mol Med 2022; 28:360-377. [PMID: 35341686 DOI: 10.1016/j.molmed.2022.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/02/2022] [Accepted: 03/04/2022] [Indexed: 12/28/2022]
Abstract
Hematopoietic stem cells (HSCs) are polyfunctional, regenerating all blood cells via hematopoiesis throughout life. Clonal hematopoiesis (CH) is said to occur when a substantial proportion of mature blood cells is derived from a single dominant HSC lineage, usually because these HSCs have somatic mutations that confer a fitness and expansion advantage. CH strongly associates with aging and enrichment in some diseases irrespective of age, emerging as an independent causal risk factor for hematologic malignancies, cardiovascular disease, adverse disease outcomes, and all-cause mortality. Defining the molecular mechanisms underlying CH will thus provide a framework to develop interventions for healthy aging and disease treatment. Here, we review the most recent advances in understanding the molecular basis of CH in health and disease.
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Affiliation(s)
- David A Alagpulinsa
- Vaccine & Immunotherapy Center, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA.
| | - Mabel P Toribio
- Metabolism Unit, Division of Endocrinology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Iad Alhallak
- Metabolism Unit, Division of Endocrinology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Robert J Shmookler Reis
- Central Arkansas Veterans Healthcare System and Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
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80
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Balagué-Dobón L, Cáceres A, González JR. Fully exploiting SNP arrays: a systematic review on the tools to extract underlying genomic structure. Brief Bioinform 2022; 23:bbac043. [PMID: 35211719 PMCID: PMC8921734 DOI: 10.1093/bib/bbac043] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/25/2022] [Accepted: 01/28/2022] [Indexed: 12/12/2022] Open
Abstract
Single nucleotide polymorphisms (SNPs) are the most abundant type of genomic variation and the most accessible to genotype in large cohorts. However, they individually explain a small proportion of phenotypic differences between individuals. Ancestry, collective SNP effects, structural variants, somatic mutations or even differences in historic recombination can potentially explain a high percentage of genomic divergence. These genetic differences can be infrequent or laborious to characterize; however, many of them leave distinctive marks on the SNPs across the genome allowing their study in large population samples. Consequently, several methods have been developed over the last decade to detect and analyze different genomic structures using SNP arrays, to complement genome-wide association studies and determine the contribution of these structures to explain the phenotypic differences between individuals. We present an up-to-date collection of available bioinformatics tools that can be used to extract relevant genomic information from SNP array data including population structure and ancestry; polygenic risk scores; identity-by-descent fragments; linkage disequilibrium; heritability and structural variants such as inversions, copy number variants, genetic mosaicisms and recombination histories. From a systematic review of recently published applications of the methods, we describe the main characteristics of R packages, command-line tools and desktop applications, both free and commercial, to help make the most of a large amount of publicly available SNP data.
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Walsh K, Raghavachari N, Kerr C, Bick AG, Cummings SR, Druley T, Dunbar CE, Genovese G, Goodell MA, Jaiswal S, Maciejewski J, Natarajan P, Shindyapina AV, Shuldiner AR, Van Den Akker EB, Vijg J. Clonal Hematopoiesis Analyses in Clinical, Epidemiologic, and Genetic Aging Studies to Unravel Underlying Mechanisms of Age-Related Dysfunction in Humans. FRONTIERS IN AGING 2022; 3:841796. [PMID: 35821803 PMCID: PMC9261374 DOI: 10.3389/fragi.2022.841796] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/07/2022] [Indexed: 11/13/2022]
Abstract
Aging is characterized by increased mortality, functional decline, and exponential increases in the incidence of diseases such as cancer, stroke, cardiovascular disease, neurological disease, respiratory disease, etc. Though the role of aging in these diseases is widely accepted and considered to be a common denominator, the underlying mechanisms are largely unknown. A significant age-related feature observed in many population cohorts is somatic mosaicism, the detectable accumulation of somatic mutations in multiple cell types and tissues, particularly those with high rates of cell turnover (e.g., skin, liver, and hematopoietic cells). Somatic mosaicism can lead to the development of cellular clones that expand with age in otherwise normal tissues. In the hematopoietic system, this phenomenon has generally been referred to as "clonal hematopoiesis of indeterminate potential" (CHIP) when it applies to a subset of clones in which mutations in driver genes of hematologic malignancies are found. Other mechanisms of clonal hematopoiesis, including large chromosomal alterations, can also give rise to clonal expansion in the absence of conventional CHIP driver gene mutations. Both types of clonal hematopoiesis (CH) have been observed in studies of animal models and humans in association with altered immune responses, increased mortality, and disease risk. Studies in murine models have found that some of these clonal events are involved in abnormal inflammatory and metabolic changes, altered DNA damage repair and epigenetic changes. Studies in long-lived individuals also show the accumulation of somatic mutations, yet at this advanced age, carriership of somatic mutations is no longer associated with an increased risk of mortality. While it remains to be elucidated what factors modify this genotype-phenotype association, i.e., compensatory germline genetics, cellular context of the mutations, protective effects to diseases at exceptional age, it points out that the exceptionally long-lived are key to understand the phenotypic consequences of CHIP mutations. Assessment of the clinical significance of somatic mutations occurring in blood cell types for age-related outcomes in human populations of varied life and health span, environmental exposures, and germline genetic risk factors will be valuable in the development of personalized strategies tailored to specific somatic mutations for healthy aging.
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Affiliation(s)
- Kenneth Walsh
- University of Virginia, Charlottesville, VA, United States
| | - Nalini Raghavachari
- National Institute on Aging, NIH, Bethesda, MD, United States,*Correspondence: Nalini Raghavachari,
| | - Candace Kerr
- National Institute on Aging, NIH, Bethesda, MD, United States
| | | | - Steven R. Cummings
- University of California, San Francisco, San Francisco, CA, United States
| | - Todd Druley
- Angle Biosciences, St. Louis, MO, United States
| | - Cynthia E. Dunbar
- National Heart, Lung and Blood Institute, NIH, Bethesda, MD, United States
| | | | | | | | | | | | | | | | | | - Jan Vijg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
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Schendel D, Laursen TM, Albiñana C, Vilhjalmsson B, Ladd-Acosta C, Fallin MD, Benke K, Lee B, Grove J, Kalkbrenner A, Ejlskov L, Hougaard D, Bybjerg-Grauholm J, Bækvad-Hansen M, Børglum AD, Werge T, Nordentoft M, Mortensen PB, Agerbo E. Evaluating the interrelations between the autism polygenic score and psychiatric family history in risk for autism. Autism Res 2022; 15:171-182. [PMID: 34664785 PMCID: PMC11289736 DOI: 10.1002/aur.2629] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 09/19/2021] [Accepted: 10/01/2021] [Indexed: 01/25/2023]
Abstract
Psychiatric family history or a high autism polygenic risk score (PRS) have been separately linked to autism spectrum disorder (ASD) risk. The study aimed to simultaneously consider psychiatric family history and individual autism genetic liability (PRS) in autism risk. We performed a case-control study of all Denmark singleton births, May 1981-December 2005, in Denmark at their first birthday and a known mother. Cases were diagnosed with ASD before 2013 and controls comprised a random sample of 30,000 births without ASD, excluding persons with non-Denmark-born parents, missing ASD PRS, non-European ancestry. Adjusted odds ratios (aOR) were estimated for ASD by PRS decile and by psychiatric history in parents or full siblings (8 mutually-exclusive categories) using logistic regression. Adjusted ASD PRS z-score least-squares means were estimated by psychiatric family history category. ASD risk (11,339 ASD cases; 20,175 controls) from ASD PRS was not substantially altered after accounting for psychiatric family history (e.g., ASD PRS 10th decile aOR: 2.35 (95% CI 2.11-2.63) before vs 2.11 (95% CI 1.91-2.40) after adjustment) nor from psychiatric family history after accounting for ASD PRS (e.g., ASD family history aOR: 6.73 (95% CI 5.89-7.68) before vs 6.32 (95% CI 5.53-7.22) after adjustment). ASD risk from ASD PRS varied slightly by psychiatric family history. While ASD risk from psychiatric family history was not accounted for by ASD PRS and vice versa, risk overlap between the two factors will likely increase as measures of genetic risk improve. The two factors are best viewed as complementary measures of family-based autism risk. LAY SUMMARY: Autism risk from a history of mental disorders in the immediate family was not explained by a measure of individual genetic risk (autism polygenic risk score) and vice versa. That is, genetic risk did not appear to overlap family history risk. As genetic measures for autism improve then the overlap in autism risk from family history versus genetic factors will likely increase, but further study may be needed to fully determine the components of risk and how they are inter-related between these key family factors. Meanwhile, the two factors may be best viewed as complementary measures of autism family-based risk.
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Affiliation(s)
- Diana Schendel
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Public Health, Aarhus University, Aarhus, Denmark
- National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
- A. J. Drexel Autism Institute, Drexel University, Philadelphia, USA
| | - Thomas Munk Laursen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
| | - Clara Albiñana
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
| | - Bjarni Vilhjalmsson
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - M Danielle Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Brian Lee
- A. J. Drexel Autism Institute, Drexel University, Philadelphia, USA
- Drexel University Dornsife School of Public Health, Philadelphia, USA
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Jakob Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Department of Biomedicine – Human Genetics, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- Centre for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Amy Kalkbrenner
- University of Wisconsin Milwaukee, Joseph J Zilber School of Public Health, Milwaukee, WI
| | - Linda Ejlskov
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
| | - David Hougaard
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Jonas Bybjerg-Grauholm
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Marie Bækvad-Hansen
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Department of Biomedicine – Human Genetics, Aarhus University, Aarhus, Denmark
- Centre for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Mental Health Center Copenhagen, Copenhagen, Denmark
| | - Preben Bo Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Esben Agerbo
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
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Morris R, Butler L, Perkins A, Kershaw NJ, Babon JJ. The Role of LNK (SH2B3) in the Regulation of JAK-STAT Signalling in Haematopoiesis. Pharmaceuticals (Basel) 2021; 15:ph15010024. [PMID: 35056081 PMCID: PMC8781068 DOI: 10.3390/ph15010024] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/17/2021] [Accepted: 12/21/2021] [Indexed: 01/05/2023] Open
Abstract
LNK is a member of the SH2B family of adaptor proteins and is a non-redundant regulator of cytokine signalling. Cytokines are secreted intercellular messengers that bind to specific receptors on the surface of target cells to activate the Janus Kinase-Signal Transducer and Activator of Transcription (JAK-STAT) signalling pathway. Activation of the JAK-STAT pathway leads to proliferative and often inflammatory effects, and so the amplitude and duration of signalling are tightly controlled. LNK binds phosphotyrosine residues to signalling proteins downstream of cytokines and constrains JAK-STAT signalling. Mutations in LNK have been identified in a range of haematological and inflammatory diseases due to increased signalling following the loss of LNK function. Here, we review the regulation of JAK-STAT signalling via the adaptor protein LNK and discuss the role of LNK in haematological diseases.
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Affiliation(s)
- Rhiannon Morris
- Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; (R.M.); (N.J.K.)
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia
| | - Liesl Butler
- Australian Centre for Blood Diseases, Monash University, Melbourne, VIC 3001, Australia; (L.B.); (A.P.)
- Alfred Health, Melbourne, VIC 3001, Australia
| | - Andrew Perkins
- Australian Centre for Blood Diseases, Monash University, Melbourne, VIC 3001, Australia; (L.B.); (A.P.)
- Alfred Health, Melbourne, VIC 3001, Australia
| | - Nadia J. Kershaw
- Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; (R.M.); (N.J.K.)
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia
| | - Jeffrey J. Babon
- Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; (R.M.); (N.J.K.)
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia
- Correspondence: ; Tel.: +61-3-9345-2960; Fax: +61-3-9347-0852
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Guo X, Li J, Xue J, Fenech M, Wang X. Loss of Y chromosome: An emerging next-generation biomarker for disease prediction and early detection? MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2021; 788:108389. [PMID: 34893154 DOI: 10.1016/j.mrrev.2021.108389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 07/01/2021] [Accepted: 07/01/2021] [Indexed: 12/25/2022]
Abstract
As human life expectancy increases substantially and aging is the primary risk factor for most chronic diseases, there is an urgent need for advancing the development of post-genomic era biomarkers that can be used for disease prediction and early detection (DPED). Mosaic loss of Y chromosome (LOY) is the state of nullisomy Y in sub-groups of somatic cells acquired from different post-zygotic development stages and onwards throughout the lifespan. Multiple large-cohort based epidemiology studies have found that LOY in blood cells is a significant risk factor for future mortality and various diseases in males. Many features intrinsic to LOY analysis may be leveraged to enhance its use as a non-invasive, sensitive, reliable, high throughput-biomarker for DPED. Here, we review the emerging literatures in LOY studies and highlight ten strengths for using LOY as a novel biomarker for genomics-driven DPED diagnostics. Meanwhile, the current limitations in this area are also discussed. We conclude by identifying some important knowledge gaps regarding the consequences of malsegregation of the Y chromosome and propose further steps that are required before clinical implementation of LOY. Taken together, we think that LOY has substantial potential as a biomarker for DPED, despite some hurdles that still need to be addressed before its integration into healthcare becomes acceptable.
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Affiliation(s)
- Xihan Guo
- School of Life Sciences, Yunnan Normal University, Kunming, Yunnan, 650500, China; Yunnan Environmental Mutagen Society, Kunming, Yunnan, 650500, China.
| | - Jianfei Li
- School of Life Sciences, Yunnan Normal University, Kunming, Yunnan, 650500, China
| | - Jinglun Xue
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Michael Fenech
- Genome Health Foundation, North Brighton, SA, 5048, Australia; University of South Australia, School of Pharmacy and Medical Sciences, Adelaide, SA, 5000, Australia; Centre of Healthy Ageing and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
| | - Xu Wang
- School of Life Sciences, Yunnan Normal University, Kunming, Yunnan, 650500, China; Yunnan Environmental Mutagen Society, Kunming, Yunnan, 650500, China.
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85
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Marnell CS, Bick A, Natarajan P. Clonal hematopoiesis of indeterminate potential (CHIP): Linking somatic mutations, hematopoiesis, chronic inflammation and cardiovascular disease. J Mol Cell Cardiol 2021; 161:98-105. [PMID: 34298011 PMCID: PMC8629838 DOI: 10.1016/j.yjmcc.2021.07.004] [Citation(s) in RCA: 87] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 07/10/2021] [Accepted: 07/16/2021] [Indexed: 12/13/2022]
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) is the presence of a clonally expanded hematopoietic stem cell caused by a leukemogenic mutation in individuals without evidence of hematologic malignancy, dysplasia, or cytopenia. CHIP is associated with a 0.5-1.0% risk per year of leukemia. Remarkably, it confers a two-fold increase in cardiovascular risk independent of traditional risk factors. Roughly 80% of patients with CHIP have mutations in epigenetic regulators DNMT3A, TET2, ASXL1, DNA damage repair genes PPM1D, TP53, the regulatory tyrosine kinase JAK2, or mRNA spliceosome components SF3B1, and SRSF2. CHIP is associated with a pro-inflammatory state that has been linked to coronary artery disease, myocardial infarction, and venous thromboembolic disease, as well as prognosis among those with aortic stenosis and heart failure. Heritable and acquired risk factors are associated with increased CHIP prevalence, including germline variation, age, unhealthy lifestyle behaviors (i.e. smoking, obesity), inflammatory conditions, premature menopause, HIV and exposure to cancer therapies. This review aims to summarize emerging research on CHIP, the mechanisms underlying its important role in propagating inflammation and accelerating cardiovascular disease, and new studies detailing the role of associated risk factors and co-morbidities that increase CHIP prevalence.
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Affiliation(s)
- Christopher S Marnell
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States of America; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, United States of America
| | - Alexander Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Pradeep Natarajan
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States of America; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, United States of America.
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86
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Recent innovations and in-depth aspects of post-genome wide association study (Post-GWAS) to understand the genetic basis of complex phenotypes. Heredity (Edinb) 2021; 127:485-497. [PMID: 34689168 PMCID: PMC8626474 DOI: 10.1038/s41437-021-00479-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 10/13/2021] [Accepted: 10/13/2021] [Indexed: 12/13/2022] Open
Abstract
In the past decade, the high throughput and low cost of sequencing/genotyping approaches have led to the accumulation of a large amount of data from genome-wide association studies (GWASs). The first aim of this review is to highlight how post-GWAS analysis can be used make sense of the obtained associations. Novel directions for integrating GWAS results with other resources, such as somatic mutation, metabolite-transcript, and transcriptomic data, are also discussed; these approaches can help us move beyond each individual data point and provide valuable information about complex trait genetics. In addition, cross-phenotype association tests, when the loci detected by GWASs have significant associations with multiple traits, are reviewed to provide biologically informative results for use in real-time applications. This review also discusses the challenges of identifying interactions between genetic mutations (epistasis) and mutations of loci affecting more than one trait (pleiotropy) as underlying causes of cross-phenotype associations; these challenges can be overcome using post-GWAS analysis. Genetic similarities between phenotypes that can be revealed using post-GWAS analysis are also discussed. In summary, different methodologies of post-GWAS analysis are now available, enhancing the value of information obtained from GWAS results, and facilitating application in both humans and nonhuman species. However, precise methods still need to be developed to overcome challenges in the field and uncover the genetic underpinnings of complex traits.
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87
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Köhnke T, Majeti R. Clonal Hematopoiesis: From Mechanisms to Clinical Intervention. Cancer Discov 2021; 11:2987-2997. [PMID: 34407958 PMCID: PMC8854454 DOI: 10.1158/2159-8290.cd-21-0901] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 08/12/2021] [Accepted: 08/17/2021] [Indexed: 11/16/2022]
Abstract
Our knowledge of how clonal hematopoiesis relates to diverse health conditions has grown vastly over the past years, touching upon many specialties beyond cancer medicine. Given that clonal hematopoiesis can act as a precursor to overt disease in many settings, the promise of early intervention has garnered much attention. In this review, we discuss the state of clonal hematopoiesis research and outline the challenges in developing clinical trials of early interventions. We anticipate that incidental findings of clonal hematopoiesis will become more common in the near future, but evidence-based efforts of how to manage these findings is currently lacking. SIGNIFICANCE Our knowledge regarding the relevance of clonal hematopoiesis has increased drastically over the past years. However, evidence of how to manage these findings is currently lacking. In this review, we summarize the current state of clonal hematopoiesis research and outline the challenges of developing clinical trials in this field. We anticipate that incidental findings of clonal hematopoiesis will become more common in the near future and argue that there is urgency to start designing and conducting prospective trials.
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Affiliation(s)
- Thomas Köhnke
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Ravindra Majeti
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California, USA
- Lead contact
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LNK (SH2B3) Inhibition Expands Healthy and Fanconi Anemia Human Hematopoietic Stem and Progenitor Cells. Blood Adv 2021; 6:731-745. [PMID: 34844262 PMCID: PMC8945310 DOI: 10.1182/bloodadvances.2021004205] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 11/07/2021] [Indexed: 11/20/2022] Open
Abstract
Hematopoietic stem cell transplantation (HSCT) remains the only curative treatment for a variety of hematological diseases. Allogenic HSCT requires hematopoietic stem cells (HSCs) from matched donors and comes with cytotoxicity and mortality. Recent advances in genome modification of HSCs have demonstrated the possibility of using autologous HSCT-based gene therapy to cure monogenic diseases, such as the inherited bone marrow failure (BMF) syndrome Fanconi Anemia (FA). However, for FA and other BMF syndromes insufficient HSC numbers with functional defects results in delayed hematopoietic recovery and increased risk of graft failure. We and others previously identified the adaptor protein Lnk (Sh2b3) as a critical negative regulator of murine HSC homeostasis. However, whether LNK (SH2B3) controls human HSCs has not been studied. Here, we demonstrate that depletion of LNK via lentiviral expression of miR30-based short hairpin RNAs (shRNAs) resulted in robust expansion of transplantable human HSCs that provided balanced multilineage reconstitution in primary and secondary mouse recipients. Importantly, LNK depletion enhanced cytokine mediated JAK/STAT activation in CD34+ hematopoietic stem and progenitor cells (HSPCs). Moreover, we demonstrate that LNK depletion expands primary HSPCs associated with FA. In xenotransplant, engraftment defects of FANCD2-depleted FA-like HSCs were markedly improved by LNK inhibition. Finally, targeting LNK in primary bone marrow HSPCs from FA patients enhanced their colony forming potential in vitro. Together, these results demonstrate the potential of targeting LNK to expand HSCs to improve HSCT and HSCT-based gene therapy.
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89
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Poon GYP, Watson CJ, Fisher DS, Blundell JR. Synonymous mutations reveal genome-wide levels of positive selection in healthy tissues. Nat Genet 2021; 53:1597-1605. [PMID: 34737428 DOI: 10.1038/s41588-021-00957-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 09/20/2021] [Indexed: 01/02/2023]
Abstract
Genetic alterations under positive selection in healthy tissues have implications for cancer risk. However, total levels of positive selection across the genome remain unknown. Passenger mutations are influenced by all driver mutations, regardless of type or location in the genome. Therefore, the total number of passengers can be used to estimate the total number of drivers-including unidentified drivers outside of cancer genes that are traditionally missed. Here we analyze the variant allele frequency spectrum of synonymous mutations from healthy blood and esophagus to quantify levels of missing positive selection. In blood, we find that only 30% of passengers can be explained by single-nucleotide variants in driver genes, suggesting high levels of positive selection for mutations elsewhere in the genome. In contrast, more than half of all passengers in the esophagus can be explained by just the two driver genes NOTCH1 and TP53, suggesting little positive selection elsewhere.
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Affiliation(s)
- Gladys Y P Poon
- Early Detection Programme, CRUK Cambridge Cancer Centre, University of Cambridge, Cambridge, UK.
- Department of Oncology, University of Cambridge, Cambridge, UK.
| | - Caroline J Watson
- Early Detection Programme, CRUK Cambridge Cancer Centre, University of Cambridge, Cambridge, UK
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Daniel S Fisher
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Jamie R Blundell
- Early Detection Programme, CRUK Cambridge Cancer Centre, University of Cambridge, Cambridge, UK.
- Department of Oncology, University of Cambridge, Cambridge, UK.
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90
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Distinction of lymphoid and myeloid clonal hematopoiesis. Nat Med 2021; 27:1921-1927. [PMID: 34663986 DOI: 10.1038/s41591-021-01521-4] [Citation(s) in RCA: 118] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 08/27/2021] [Indexed: 01/21/2023]
Abstract
Clonal hematopoiesis (CH) results from somatic genomic alterations that drive clonal expansion of blood cells. Somatic gene mutations associated with hematologic malignancies detected in hematopoietic cells of healthy individuals, referred to as CH of indeterminate potential (CHIP), have been associated with myeloid malignancies, while mosaic chromosomal alterations (mCAs) have been associated with lymphoid malignancies. Here, we analyzed CHIP in 55,383 individuals and autosomal mCAs in 420,969 individuals with no history of hematologic malignancies in the UK Biobank and Mass General Brigham Biobank. We distinguished myeloid and lymphoid somatic gene mutations, as well as myeloid and lymphoid mCAs, and found both to be associated with risk of lineage-specific hematologic malignancies. Further, we performed an integrated analysis of somatic alterations with peripheral blood count parameters to stratify the risk of incident myeloid and lymphoid malignancies. These genetic alterations can be readily detected in clinical sequencing panels and used with blood count parameters to identify individuals at high risk of developing hematologic malignancies.
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91
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Elkholi IE, Foulkes WD, Rivera B. MRN Complex and Cancer Risk: Old Bottles, New Wine. Clin Cancer Res 2021; 27:5465-5471. [PMID: 34261697 DOI: 10.1158/1078-0432.ccr-21-1509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 06/21/2021] [Accepted: 07/09/2021] [Indexed: 11/16/2022]
Abstract
The MRN complex, composed of MRE11A, RAD50, and NBN, mediates vital molecular functions to maintain genomic stability and hence protect against related disorders. Germline mutations in the MRN genes predispose to three different syndromes: ataxia-telangiectasia-like disorder (MRE11A deficiency), Nijmegen breakage syndrome (NBS; NBN deficiency), and NBS-like disorder (RAD50 deficiency). The potential cancer component of these syndromes in addition to the close physical and functional proximity of the MRN complex to BRCA1 has promoted the MRN genes as candidate risk genes for developing breast cancer. This notion has been challenged by independent large-scale population-based studies. Despite having their two-decade old candidacy as breast cancer genes close to being refuted, it has recently been reported that the MRN genes rise to have potential new roles in clonal hematopoiesis. In this article, we discuss the history and current status of MRN genes' clinical utility in breast cancer and then focus on their recently uncovered and less understood roles in clonal hematopoiesis that likely predispose to health-related disorders such as hematologic malignancies and/or cardiovascular morbid events.
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Affiliation(s)
- Islam E Elkholi
- Montreal Clinical Research Institute (IRCM), Montreal, Quebec, Canada
- Molecular Biology Programs, Université de Montréal, Montreal, Quebec, Canada
| | - William D Foulkes
- Gerald Bronfman Department of Oncology, McGill University, Montreal, Quebec, Canada.
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute, The Jewish General Hospital, Montreal, Quebec, Canada
- Cancer Research Program, The Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Barbara Rivera
- Gerald Bronfman Department of Oncology, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute, The Jewish General Hospital, Montreal, Quebec, Canada
- Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
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92
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Mukamel RE, Handsaker RE, Sherman MA, Barton AR, Zheng Y, McCarroll SA, Loh PR. Protein-coding repeat polymorphisms strongly shape diverse human phenotypes. Science 2021; 373:1499-1505. [PMID: 34554798 PMCID: PMC8549062 DOI: 10.1126/science.abg8289] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Many human proteins contain domains that vary in size or copy number because of variable numbers of tandem repeats (VNTRs) in protein-coding exons. However, the relationships of VNTRs to most phenotypes are unknown because of difficulties in measuring such repetitive elements. We developed methods to estimate VNTR lengths from whole-exome sequencing data and impute VNTR alleles into single-nucleotide polymorphism haplotypes. Analyzing 118 protein-altering VNTRs in 415,280 UK Biobank participants for association with 786 phenotypes identified some of the strongest associations of common variants with human phenotypes, including height, hair morphology, and biomarkers of health. Accounting for large-effect VNTRs further enabled fine-mapping of associations to many more protein-coding mutations in the same genes. These results point to cryptic effects of highly polymorphic common structural variants that have eluded molecular analyses to date.
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Affiliation(s)
- Ronen E Mukamel
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Boston, MA, USA
| | - Robert E Handsaker
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard University, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Maxwell A Sherman
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Boston, MA, USA
- Computer Science and Artificial Intelligence Laboratory, MIT, Boston, MA, USA
| | - Alison R Barton
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Boston, MA, USA
- Bioinformatics and Integrative Genomics Program, Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Yiming Zheng
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard University, Boston, MA, USA
| | - Steven A McCarroll
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard University, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Po-Ru Loh
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Boston, MA, USA
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93
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Abstract
Clonal haematopoiesis (CH) is a common, age-related expansion of blood cells with somatic mutations that is associated with an increased risk of haematological malignancies, cardiovascular disease and all-cause mortality. CH may be caused by point mutations in genes associated with myeloid neoplasms, chromosomal copy number changes and loss of heterozygosity events. How inherited and environmental factors shape the incidence of CH is incompletely understood. Even though the several varieties of CH may have distinct phenotypic consequences, recent research points to an underlying genetic architecture that is highly overlapping. Moreover, there are numerous commonalities between the inherited variation associated with CH and that which has been linked to age-associated biomarkers and diseases. In this Review, we synthesize what is currently known about how inherited variation shapes the risk of CH and how this genetic architecture intersects with the biology of diseases that occur with ageing.
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Affiliation(s)
- Alexander J Silver
- Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA
- Division of Hematology and Oncology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Alexander G Bick
- Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- Center for Immunobiology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Michael R Savona
- Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA.
- Division of Hematology and Oncology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
- Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
- Center for Immunobiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
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94
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Mian SA, Bonnet D. Nature or Nurture? Role of the Bone Marrow Microenvironment in the Genesis and Maintenance of Myelodysplastic Syndromes. Cancers (Basel) 2021; 13:4116. [PMID: 34439269 PMCID: PMC8394536 DOI: 10.3390/cancers13164116] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 08/10/2021] [Accepted: 08/11/2021] [Indexed: 12/18/2022] Open
Abstract
Myelodysplastic syndrome (MDS) are clonal haematopoietic stem cell (HSC) disorders driven by a complex combination(s) of changes within the genome that result in heterogeneity in both clinical phenotype and disease outcomes. MDS is among the most common of the haematological cancers and its incidence markedly increases with age. Currently available treatments have limited success, with <5% of patients undergoing allogeneic HSC transplantation, a procedure that offers the only possible cure. Critical contributions of the bone marrow microenvironment to the MDS have recently been investigated. Although the better understanding of the underlying biology, particularly genetics of haematopoietic stem cells, has led to better disease and risk classification; however, the role that the bone marrow microenvironment plays in the development of MDS remains largely unclear. This review provides a comprehensive overview of the latest developments in understanding the aetiology of MDS, particularly focussing on understanding how HSCs and the surrounding immune/non-immune bone marrow niche interacts together.
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Affiliation(s)
| | - Dominique Bonnet
- Haematopoietic Stem Cell Laboratory, The Francis Crick Institute, London NW1 1AT, UK;
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95
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Genetics of autosomal mosaic chromosomal alteration (mCA). J Hum Genet 2021; 66:879-885. [PMID: 34321609 DOI: 10.1038/s10038-021-00964-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 12/11/2022]
Abstract
Mosaic chromosomal alterations (mCAs) are frequently observed in cancer cells and are regarded as one of the common features of cancers. Strikingly, accumulating studies demonstrated that mCAs are also prevalent in elderly individuals without cancer, implying mCA could be a feature of aging and not necessarily a cancerous state. However, the genetic basis of mCA has been mostly unknown. Recent studies of autosomal mCA based on biobank-scale datasets, including UK Biobank and Biobank Japan, provided a glimpse into the underlying genetic mechanism. In this concise review, we briefly introduced mCA, its link with cancer and aging, and the emerging genetic mechanisms of this phenomenon. We highlighted the following aspects: (1) the interplay between somatic and inherited germline mutations in generating mosaicism; (2) monogenic and polygenic architectures of mCA; and (3) population-specific profiles of mCA. We provided a future perspective emphasizing the need to understand the connection between mCA and other characteristics of aging, in particular, the epigenetic and immunologic features.
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96
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Lin SH, Brown DW, Rose B, Day F, Lee OW, Khan SM, Hislop J, Chanock SJ, Perry JRB, Machiela MJ. Incident disease associations with mosaic chromosomal alterations on autosomes, X and Y chromosomes: insights from a phenome-wide association study in the UK Biobank. Cell Biosci 2021; 11:143. [PMID: 34301302 PMCID: PMC8299574 DOI: 10.1186/s13578-021-00651-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 07/06/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Mosaic chromosomal alterations (mCAs) are large chromosomal gains, losses and copy-neutral losses of heterozygosity (LOH) in peripheral leukocytes. While many individuals with detectable mCAs have no notable adverse outcomes, mCA-associated gene dosage alterations as well as clonal expansion of mutated leukocyte clones could increase susceptibility to disease. RESULTS We performed a phenome-wide association study (PheWAS) using existing data from 482,396 UK Biobank (UKBB) participants to investigate potential associations between mCAs and incident disease. Of the 1290 ICD codes we examined, our adjusted analysis identified a total of 50 incident disease outcomes associated with mCAs at PheWAS significance levels. We observed striking differences in the diseases associated with each type of alteration, with autosomal mCAs most associated with increased hematologic malignancies, incident infections and possibly cancer therapy-related conditions. Alterations of chromosome X were associated with increased lymphoid leukemia risk and, mCAs of chromosome Y were linked to potential reduced metabolic disease risk. CONCLUSIONS Our findings demonstrate that a wide range of diseases are potential sequelae of mCAs and highlight the critical importance of careful covariate adjustment in mCA disease association studies.
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Affiliation(s)
- Shu-Hong Lin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20892, USA
| | - Derek W Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20892, USA
| | - Brandon Rose
- University of Miami Miller School of Medicine, Miami, FL, 33136, USA
| | - Felix Day
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Olivia W Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20892, USA
| | - Sairah M Khan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20892, USA
| | - Jada Hislop
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20892, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20892, USA
| | - John R B Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20892, USA.
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97
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Whole-exome imputation within UK Biobank powers rare coding variant association and fine-mapping analyses. Nat Genet 2021; 53:1260-1269. [PMID: 34226706 PMCID: PMC8349845 DOI: 10.1038/s41588-021-00892-1] [Citation(s) in RCA: 113] [Impact Index Per Article: 37.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 05/28/2021] [Indexed: 02/06/2023]
Abstract
Exome association studies to date have generally been underpowered to systematically evaluate the phenotypic impact of very rare coding variants. We leveraged extensive haplotype sharing between 49,960 exome-sequenced UK Biobank participants and the remainder of the cohort (total N~500K) to impute exome-wide variants with accuracy (R2>0.5) down to minor allele frequency (MAF) ~0.00005. Association and fine-mapping analyses of 54 quantitative traits identified 1,189 significant associations (P<5 x 10−8) involving 675 distinct rare protein-altering variants (MAF<0.01) that passed stringent filters for likely causality. Across all traits, 49% of associations (578/1,189) occurred in genes with two or more hits; follow-up analyses of these genes identified allelic series containing up to 45 distinct likely-causal variants. Our results demonstrate the utility of within-cohort imputation in population-scale GWAS cohorts, provide a catalog of likely-causal, large-effect coding variant associations, and foreshadow the insights that will be revealed as genetic biobank studies continue to grow.
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98
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Olafsson S, Anderson CA. Somatic mutations provide important and unique insights into the biology of complex diseases. Trends Genet 2021; 37:872-881. [PMID: 34226062 DOI: 10.1016/j.tig.2021.06.012] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/15/2021] [Accepted: 06/16/2021] [Indexed: 10/20/2022]
Abstract
Somatic evolution of cells within the body is well known to lead to cancers. However, spread of somatic mutations within a tissue over time may also contribute to the pathogenesis of non-neoplastic diseases. Recent years have seen the publication of many studies aiming to characterize somatic evolution in healthy tissues. A logical next step is to extend such work to diseased conditions. As our understanding of the interplay between somatic mutations and non-neoplastic disease grows, opportunities for the joint study of germline and somatic variants will present themselves. Here, we present our thoughts on the utility of somatic mutations for understanding both the causes and consequences of common complex disease and the challenges that remain for the joint study of the soma and germline.
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Affiliation(s)
| | - Carl A Anderson
- Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK.
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99
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Dai X, Guo X. Decoding and rejuvenating human ageing genomes: Lessons from mosaic chromosomal alterations. Ageing Res Rev 2021; 68:101342. [PMID: 33866012 DOI: 10.1016/j.arr.2021.101342] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 04/05/2021] [Accepted: 04/07/2021] [Indexed: 01/10/2023]
Abstract
One of the most curious findings emerged from genome-wide studies over the last decade was that genetic mosaicism is a dominant feature of human ageing genomes. The clonal dominance of genetic mosaicism occurs preceding the physiological and physical ageing and associates with propensity for diseases including cancer, Alzheimer's disease, cardiovascular disease and diabetes. These findings are revolutionizing the ways biologists thinking about health and disease pathogenesis. Among all mosaic mutations in ageing genomes, mosaic chromosomal alterations (mCAs) have the most significant functional consequences because they can produce intercellular genomic variations simultaneously involving dozens to hundreds or even thousands genes, and therefore have most profound effects in human ageing and disease etiology. Here, we provide a comprehensive picture of the landscapes, causes, consequences and rejuvenation of mCAs at multiple scales, from cell to human population, by reviewing data from cytogenetic, genetic and genomic studies in cells, animal models (fly and mouse) and, more frequently, large-cohort populations. A detailed decoding of ageing genomes with a focus on mCAs may yield important insights into the genomic architecture of human ageing, accelerate the risk stratification of age-related diseases (particularly cancers) and development of novel targets and strategies for delaying or rejuvenating human (genome) ageing.
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Affiliation(s)
- Xueqin Dai
- School of Life Sciences, Yunnan Normal University, Kunming, Yunnan, 650500, China
| | - Xihan Guo
- School of Life Sciences, Yunnan Normal University, Kunming, Yunnan, 650500, China; The Engineering Research Center of Sustainable Development and Utilization of Biomass Energy, Ministry of Education, Kunming, Yunnan, 650500, China; Yunnan Environmental Mutagen Society, Kunming, Yunnan, 650500, China.
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100
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Saiki R, Momozawa Y, Nannya Y, Nakagawa MM, Ochi Y, Yoshizato T, Terao C, Kuroda Y, Shiraishi Y, Chiba K, Tanaka H, Niida A, Imoto S, Matsuda K, Morisaki T, Murakami Y, Kamatani Y, Matsuda S, Kubo M, Miyano S, Makishima H, Ogawa S. Combined landscape of single-nucleotide variants and copy number alterations in clonal hematopoiesis. Nat Med 2021; 27:1239-1249. [PMID: 34239136 DOI: 10.1038/s41591-021-01411-9] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 05/26/2021] [Indexed: 02/04/2023]
Abstract
Clonal hematopoiesis (CH) in apparently healthy individuals is implicated in the development of hematological malignancies (HM) and cardiovascular diseases. Previous studies of CH analyzed either single-nucleotide variants and indels (SNVs/indels) or copy number alterations (CNAs), but not both. Here, using a combination of targeted sequencing of 23 CH-related genes and array-based CNA detection of blood-derived DNA, we have delineated the landscape of CH-related SNVs/indels and CNAs in 11,234 individuals without HM from the BioBank Japan cohort, including 672 individuals with subsequent HM development, and studied the effects of these somatic alterations on mortality from HM and cardiovascular disease, as well as on hematological and cardiovascular phenotypes. The total number of both types of CH-related lesions and their clone size positively correlated with blood count abnormalities and mortality from HM. CH-related SNVs/indels and CNAs exhibited statistically significant co-occurrence in the same individuals. In particular, co-occurrence of SNVs/indels and CNAs affecting DNMT3A, TET2, JAK2 and TP53 resulted in biallelic alterations of these genes and was associated with higher HM mortality. Co-occurrence of SNVs/indels and CNAs also modulated risks for cardiovascular mortality. These findings highlight the importance of detecting both SNVs/indels and CNAs in the evaluation of CH.
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Affiliation(s)
- Ryunosuke Saiki
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yasuhito Nannya
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masahiro M Nakagawa
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Yotaro Ochi
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tetsuichi Yoshizato
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yutaka Kuroda
- Department of Orthopaedic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yuichi Shiraishi
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Kenichi Chiba
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Hiroko Tanaka
- Department of Integrated Data Science, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Atsushi Niida
- Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Takayuki Morisaki
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoshinori Murakami
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.,Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Shuichi Matsuda
- Department of Orthopaedic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Satoru Miyano
- Department of Integrated Data Science, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Hideki Makishima
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan. .,Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan. .,Department of Medicine, Centre for Haematology and Regenerative Medicine, Karolinska Institute, Stockholm, Sweden.
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