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Jakubek YA, Ma X, Stilp AM, Yu F, Bacon J, Wong JW, Aguet F, Ardlie K, Arnett D, Barnes K, Bis JC, Blackwell T, Becker LC, Boerwinkle E, Bowler RP, Budoff MJ, Carson AP, Chen J, Cho MH, Coresh J, Cox N, de Vries PS, DeMeo DL, Fardo DW, Fornage M, Guo X, Hall ME, Heard-Costa N, Hidalgo B, Irvin MR, Johnson AD, Kenny EE, Levy D, Li Y, Lima JA, Liu Y, Loos RJF, Machiela MJ, Mathias RA, Mitchell BD, Murabito J, Mychaleckyj JC, North K, Orchard P, Parker SC, Pershad Y, Peyser PA, Pratte KA, Psaty BM, Raffield LM, Redline S, Rich SS, Rotter JI, Shah SJ, Smith JA, Smith AP, Smith A, Taub M, Tiwari HK, Tracy R, Tuftin B, Bick AG, Sankaran VG, Reiner AP, Scheet P, Auer PL. Genomic and phenotypic correlates of mosaic loss of chromosome Y in blood. medRxiv 2024:2024.04.16.24305851. [PMID: 38699360 PMCID: PMC11065036 DOI: 10.1101/2024.04.16.24305851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Mosaic loss of Y (mLOY) is the most common somatic chromosomal alteration detected in human blood. The presence of mLOY is associated with altered blood cell counts and increased risk of Alzheimer's disease, solid tumors, and other age-related diseases. We sought to gain a better understanding of genetic drivers and associated phenotypes of mLOY through analyses of whole genome sequencing of a large set of genetically diverse males from the Trans-Omics for Precision Medicine (TOPMed) program. This approach enabled us to identify differences in mLOY frequencies across populations defined by genetic similarity, revealing a higher frequency of mLOY in the European American (EA) ancestry group compared to those of Hispanic American (HA), African American (AA), and East Asian (EAS) ancestry. Further, we identified two genes ( CFHR1 and LRP6 ) that harbor multiple rare, putatively deleterious variants associated with mLOY susceptibility, show that subsets of human hematopoietic stem cells are enriched for activity of mLOY susceptibility variants, and that certain alleles on chromosome Y are more likely to be lost than others.
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Guan X, Meng X, Zhong G, Zhang Z, Wang C, Xiao Y, Fu M, Zhao H, Zhou Y, Hong S, Xu X, Bai Y, Kan H, Chen R, Wu T, Guo H. Particulate matter pollution, polygenic risk score and mosaic loss of chromosome Y in middle-aged and older men from the Dongfeng-Tongji cohort study. J Hazard Mater 2024; 471:134315. [PMID: 38678703 DOI: 10.1016/j.jhazmat.2024.134315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 04/04/2024] [Accepted: 04/14/2024] [Indexed: 05/01/2024]
Abstract
Mosaic loss of chromosome Y (mLOY) is the most common somatic alteration as men aging and may reflect genome instability. PM exposure is a major health concern worldwide, but its effects with genetic factors on mLOY has never been investigated. Here we explored the associations of PM2.5 and PM10 exposure with mLOY of 10,158 males measured via signal intensity of 2186 probes in male-specific chromosome-Y region from Illumina array data. The interactive and joint effects of PM2.5 and PM10 with genetic factors and smoking on mLOY were further evaluated. Compared with the lowest tertiles of PM2.5 levels in each exposure window, the highest tertiles in the same day, 7-, 14-, 21-, and 28-day showed a 0.005, 0.006, 0.007, 0.007, and 0.006 decrease in mLRR-Y, respectively (all P < 0.05), with adjustment for age, BMI, smoking pack-years, alcohol drinking status, physical activity, education levels, season of blood draw, and experimental batch. Such adverse effects were also observed in PM10-mLOY associations. Moreover, the unweighted and weighted PRS presented significant negative associations with mLRR-Y (both P < 0.001). Participants with high PRS and high PM2.5 or PM10 exposure in the 28-day separately showed a 0.018 or 0.019 lower mLRR-Y level [β (95 %CI) = -0.018 (-0.023, -0.012) and - 0.019 (-0.025, -0.014), respectively, both P < 0.001], when compared to those with low PRS and low PM2.5 or PM10 exposure. We also observed joint effects of PM with smoking on exacerbated mLOY. This large study is the first to elucidate the impacts of PM2.5 exposure on mLOY, and provides key evidence regarding the interactive and joint effects of PM with genetic factors on mLOY, which may promote understanding of mLOY development, further modifying and increasing healthy aging in males.
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Affiliation(s)
- Xin Guan
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Xia Meng
- Department of Environment Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Guorong Zhong
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Zirui Zhang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Chenming Wang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Yang Xiao
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Ming Fu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Hui Zhao
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Yuhan Zhou
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Shiru Hong
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Xuedan Xu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Yansen Bai
- Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, China
| | - Haidong Kan
- Department of Environment Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Renjie Chen
- Department of Environment Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China
| | - Huan Guo
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, China.
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3
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Wang Y, Sano S. Why Y matters? The implication of loss of Y chromosome in blood and cancer. Cancer Sci 2024; 115:706-714. [PMID: 38258457 PMCID: PMC10921008 DOI: 10.1111/cas.16072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/23/2023] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
Hematopoietic mosaic loss of Y chromosome (mLOY) has emerged as a potential male-specific accelerator of biological aging, increasing the risk of various age-related diseases, including cancer. Importantly, mLOY is not confined to hematopoietic cells; its presence has also been observed in nonhematological cancer cells, with the impact of this presence previously unknown. Recent studies have revealed that, whether occurring in leukocytes or cancer cells, mLOY plays a role in promoting the development of an immunosuppressive tumor microenvironment. This occurs through the modulation of tumor-infiltrating immune cells, ultimately enabling cancer cells to evade the vigilant immune system. In this review, we illuminate recent progress concerning the effects of hematopoietic mLOY and cancer mLOY on cancer progression. Examining cancer progression from the perspective of LOY adds a new layer to our understanding of cancer immunity, promising insights that hold the potential to identify innovative and potent immunotherapy targets for cancer.
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Affiliation(s)
- Ying Wang
- Department of CardiologyThe Second Affiliated Hospital of Army Medical UniversityChongqingChina
| | - Soichi Sano
- Laboratory of Cardiovascular MosaicismNational Cerebral and Cardiovascular CenterOsakaJapan
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Kapadia CD, Goodell MA. Tissue mosaicism following stem cell aging: blood as an exemplar. Nat Aging 2024; 4:295-308. [PMID: 38438628 DOI: 10.1038/s43587-024-00589-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 02/07/2024] [Indexed: 03/06/2024]
Abstract
Loss of stem cell regenerative potential underlies aging of all tissues. Somatic mosaicism, the emergence of cellular patchworks within tissues, increases with age and has been observed in every organ yet examined. In the hematopoietic system, as in most tissues, stem cell aging through a variety of mechanisms occurs in lockstep with the emergence of somatic mosaicism. Here, we draw on insights from aging hematopoiesis to illustrate fundamental principles of stem cell aging and somatic mosaicism. We describe the generalizable changes intrinsic to aged stem cells and their milieu that provide the backdrop for somatic mosaicism to emerge. We discuss genetic and nongenetic mechanisms that can result in tissue somatic mosaicism and existing methodologies to detect such clonal outgrowths. Finally, we propose potential avenues to modify mosaicism during aging, with the ultimate aim of increasing tissue resiliency.
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Affiliation(s)
- Chiraag D Kapadia
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
| | - Margaret A Goodell
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA.
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Pandey M, Shah SK, Gromiha MM. Computational approaches for identifying disease-causing mutations in proteins. Adv Protein Chem Struct Biol 2023; 139:141-171. [PMID: 38448134 DOI: 10.1016/bs.apcsb.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
Advancements in genome sequencing have expanded the scope of investigating mutations in proteins across different diseases. Amino acid mutations in a protein alter its structure, stability and function and some of them lead to diseases. Identification of disease-causing mutations is a challenging task and it will be helpful for designing therapeutic strategies. Hence, mutation data available in the literature have been curated and stored in several databases, which have been effectively utilized for developing computational methods to identify deleterious mutations (drivers), using sequence and structure-based properties of proteins. In this chapter, we describe the contents of specific databases that have information on disease-causing and neutral mutations followed by sequence and structure-based properties. Further, characteristic features of disease-causing mutations will be discussed along with computational methods for identifying cancer hotspot residues and disease-causing mutations in proteins.
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Affiliation(s)
- Medha Pandey
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, India
| | - Suraj Kumar Shah
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, India
| | - M Michael Gromiha
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, India; International Research Frontiers Initiative, School of Computing, Tokyo Institute of Technology, Yokohama, Japan.
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García-Olivares V, Muñoz-Barrera A, Rubio-Rodríguez LA, Jáspez D, Díaz-de Usera A, Iñigo-Campos A, Veeramah KR, Alonso S, Thomas MG, Lorenzo-Salazar JM, González-Montelongo R, Flores C. Benchmarking of human Y-chromosomal haplogroup classifiers with whole-genome and whole-exome sequence data. Comput Struct Biotechnol J 2023; 21:4613-4618. [PMID: 37817776 PMCID: PMC10560978 DOI: 10.1016/j.csbj.2023.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/12/2023] [Accepted: 09/12/2023] [Indexed: 10/12/2023] Open
Abstract
In anthropological, medical, and forensic studies, the nonrecombinant region of the human Y chromosome (NRY) enables accurate reconstruction of pedigree relationships and retrieval of ancestral information. Using high-throughput sequencing (HTS) data, we present a benchmarking analysis of command-line tools for NRY haplogroup classification. The evaluation was performed using paired Illumina data from whole-genome sequencing (WGS) and whole-exome sequencing (WES) experiments from 50 unrelated donors. Additionally, as a validation, we also used paired WGS/WES datasets of 54 individuals from the 1000 Genomes Project. Finally, we evaluated the tools on data from third-generation HTS obtained from a subset of donors and one reference sample. Our results show that WES, despite typically offering less genealogical resolution than WGS, is an effective method for determining the NRY haplogroup. Y-LineageTracker and Yleaf showed the highest accuracy for WGS data, classifying precisely 98% and 96% of the samples, respectively. Yleaf outperforms all benchmarked tools in the WES data, classifying approximately 90% of the samples. Yleaf, Y-LineageTracker, and pathPhynder can correctly classify most samples (88%) sequenced with third-generation HTS. As a result, Yleaf provides the best performance for applications that use WGS and WES. Overall, our study offers researchers with a guide that allows them to select the most appropriate tool to analyze the NRY region using both second- and third-generation HTS data.
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Affiliation(s)
- Víctor García-Olivares
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
- Plataforma Genómica de Alto Rendimiento para el Estudio de la Biodiversidad, Instituto de Productos Naturales y Agrobiología (IPNA), Consejo Superior de Investigaciones Científicas, San Cristóbal de La Laguna, Spain
| | - Adrián Muñoz-Barrera
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Luis A. Rubio-Rodríguez
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - David Jáspez
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Ana Díaz-de Usera
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Antonio Iñigo-Campos
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Krishna R. Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, United States
| | - Santos Alonso
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Bizkaia, Spain
- María Goyri Building, Biotechnology Center, Human Molecular Evolution Lab 2.08 UPV/EHU Science Park, 48940 Leioa, Bizkaia, Spain
| | - Mark G. Thomas
- UCL Genetics Institute, University College London (UCL), Gower Street, London WC1E 6BT, United Kingdom
- Research Department of Genetics, Evolution & Environment, University College London (UCL), Darwin Building, Gower Street, London WC1E 6BT, United Kingdom
| | - José M. Lorenzo-Salazar
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Rafaela González-Montelongo
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
- Plataforma Genómica de Alto Rendimiento para el Estudio de la Biodiversidad, Instituto de Productos Naturales y Agrobiología (IPNA), Consejo Superior de Investigaciones Científicas, San Cristóbal de La Laguna, Spain
| | - Carlos Flores
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
- Plataforma Genómica de Alto Rendimiento para el Estudio de la Biodiversidad, Instituto de Productos Naturales y Agrobiología (IPNA), Consejo Superior de Investigaciones Científicas, San Cristóbal de La Laguna, Spain
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Facultad de Ciencias de la Salud, Universidad Fernando de Pessoa Canarias, Las Palmas de Gran Canaria, Spain
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Xu X, Zhou R, Duan Q, Miao Y, Zhang T, Wang M, Jones OD, Xu M. Circulating macrophages as the mechanistic link between mosaic loss of Y-chromosome and cardiac disease. Cell Biosci 2023; 13:135. [PMID: 37488646 PMCID: PMC10364353 DOI: 10.1186/s13578-023-01075-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 06/19/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Genetics evidences have long linked mosaic loss of Y-chromosome (mLOY) in peripheral leukocytes with a wide range of male age-associated diseases. However, a lack of cellular and molecular mechanistic explanations for this link has limited further investigation into the relationship between mLOY and male age-related disease. Excitingly, Sano et al. have provided the first piece of evidence directly linking mLOY to cardiac fibrosis through mLOY enriched profibrotic transforming growth factor β1 (TGF-β1) regulons in hematopoietic macrophages along with suppressed interleukin-1β (IL-1β) proinflammatory regulons. The results of this novel finding can be extrapolated to other disease related to mLOY, such as cancer, cardiac disease, and age-related macular degeneration. RESULTS Sano et al. used a CRISPR-Cas9 gRNAs gene editing induced Y-chromosome ablation mouse model to assess results of a UK biobank prospective analysis implicating the Y-chromosome in male age-related disease. Using this in vivo model, Sano et al. showed that hematopoietic mLOY accelerated cardiac fibrosis and heart failure in male mice through profibrotic pathways. This process was linked to monocyte-macrophage differentiation during hematopoietic development. Mice confirmed to have mLOY in leukocytes, by loss of Y-chromosome genes Kdm5d, Uty, Eif2s3y, and Ddx3y, at similar percentages to the human population were shown to have accelerated rates of interstitial and perivascular fibrosis and abnormal echocardiograms. These mice also recovered poorly from the transverse aortic constriction (TAC) model of heart failure and developed left ventricular dysfunction at higher rates. This was attributed to aberrant proliferation of cardiac MEF-SK4 + fibroblasts promoted by mLOY macrophages enriched in profibrotic regulons and lacking in proinflammatory regulons. These pro-fibrotic macrophages localized to heart and eventually resulted in cardiac fibrosis via enhanced TGF-β1 and suppressed IL-1β signaling. Furthermore, treatment of mLOY mice with TGFβ1 neutralizing antibody was able to improve their cardiac function. This study by Sano et al. was able to provide a causative link between the known association between mLOY and male cardiac disease morbidity and mortality for the first time, and thereby provide a new target for improving human health. CONCLUSIONS Using a CRISPR-Cas9 induced Y-chromosome ablation mouse model, Sano et al. has proven mosaic loss of Y-chromosome in peripheral myeloid cells to have a causative effect on male mobility and mortality due to male age-related cardiac disease. They traced the mechanism of this effect to hyper-expression of the profibrotic TGF-β1 and reduced pro-inflammatory IL-1β signaling, attenuation of which could provide another potential strategy in improving outcomes against age-related diseases in men.
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Affiliation(s)
- Xuehong Xu
- Laboratory of Cell Biology, Genetics and Developmental Biology, Shaanxi Normal University College of Life Sciences and University Hospital Medical Center, 620 West Chang'an, Chang'an District, Xi'an, 710119, China.
| | - Rong Zhou
- Laboratory of Cell Biology, Genetics and Developmental Biology, Shaanxi Normal University College of Life Sciences and University Hospital Medical Center, 620 West Chang'an, Chang'an District, Xi'an, 710119, China
| | - Qinchun Duan
- Laboratory of Cell Biology, Genetics and Developmental Biology, Shaanxi Normal University College of Life Sciences and University Hospital Medical Center, 620 West Chang'an, Chang'an District, Xi'an, 710119, China
| | - Yuanlin Miao
- Laboratory of Cell Biology, Genetics and Developmental Biology, Shaanxi Normal University College of Life Sciences and University Hospital Medical Center, 620 West Chang'an, Chang'an District, Xi'an, 710119, China
| | - Tingting Zhang
- Laboratory of Cell Biology, Genetics and Developmental Biology, Shaanxi Normal University College of Life Sciences and University Hospital Medical Center, 620 West Chang'an, Chang'an District, Xi'an, 710119, China
| | - Mofei Wang
- Laboratory of Cell Biology, Genetics and Developmental Biology, Shaanxi Normal University College of Life Sciences and University Hospital Medical Center, 620 West Chang'an, Chang'an District, Xi'an, 710119, China
| | - Odell D Jones
- University of Pennsylvania School of Medicine ULAR, Philadelphia, PA, 19144, USA
| | - MengMeng Xu
- Department of Pediatrics, Morgan Stanley Children's Hospital, Columbia University, 3959 Broadway, New York, NY, 10032, USA.
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Ocañas SR, Ansere VA, Kellogg CM, Isola JVV, Chucair-Elliott AJ, Freeman WM. Chromosomal and gonadal factors regulate microglial sex effects in the aging brain. Brain Res Bull 2023; 195:157-171. [PMID: 36804773 PMCID: PMC10810555 DOI: 10.1016/j.brainresbull.2023.02.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 02/10/2023] [Accepted: 02/14/2023] [Indexed: 02/17/2023]
Abstract
Biological sex contributes to phenotypic sex effects through genetic (sex chromosomal) and hormonal (gonadal) mechanisms. There are profound sex differences in the prevalence and progression of age-related brain diseases, including neurodegenerative diseases. Inflammation of neural tissue is one of the most consistent age-related phenotypes seen with healthy aging and disease. The pro-inflammatory environment of the aging brain has primarily been attributed to microglial reactivity and adoption of heterogeneous reactive states dependent upon intrinsic (i.e., sex) and extrinsic (i.e., age, disease state) factors. Here, we review sex effects in microglia across the lifespan, explore potential genetic and hormonal molecular mechanisms of microglial sex effects, and discuss currently available models and methods to study sex effects in the aging brain. Despite recent attention to this area, significant further research is needed to mechanistically understand the regulation of microglial sex effects across the lifespan, which may open new avenues for sex informed prevention and treatment strategies.
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Affiliation(s)
- Sarah R Ocañas
- Genes & Human Disease Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA; Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
| | - Victor A Ansere
- Genes & Human Disease Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA; Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Collyn M Kellogg
- Genes & Human Disease Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA; Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Jose V V Isola
- Aging & Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Ana J Chucair-Elliott
- Genes & Human Disease Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Willard M Freeman
- Genes & Human Disease Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA; Oklahoma City Veterans Affairs Medical Center, Oklahoma City, OK, USA; Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
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9
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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] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 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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Abstract
Somatic mosaicism, the occurrence of multiple genetically distinct cell clones within the same tissue, is an evitable consequence of human aging. The hematopoietic system is no exception to this, where studies have revealed the presence of expanded blood cell clones carrying mutations in preleukemic driver genes and/or genetic alterations in chromosomes. This phenomenon is referred to as clonal hematopoiesis and is remarkably prevalent in elderly individuals. While clonal hematopoiesis represents an early step toward a hematological malignancy, most individuals will never develop blood cancer. Somewhat unexpectedly, epidemiological studies have found that clonal hematopoiesis is associated with an increase in the risk of all-cause mortality and age-related disease, particularly in the cardiovascular system. Studies using murine models of clonal hematopoiesis have begun to shed light on this relationship, suggesting that driver mutations in mature blood cells can causally contribute to aging and disease by augmenting inflammatory processes. Here we provide an up-to-date review of clonal hematopoiesis within the context of somatic mosaicism and aging and describe recent epidemiological studies that have reported associations with age-related disease. We will also discuss the experimental studies that have provided important mechanistic insight into how driver mutations promote age-related disease and how this knowledge could be leveraged to treat individuals with clonal hematopoiesis.
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Affiliation(s)
- Megan A Evans
- Hematovascular Biology Center, Robert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Kenneth Walsh
- Hematovascular Biology Center, Robert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine, Charlottesville, Virginia
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11
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Bruhn-Olszewska B, Davies H, Sarkisyan D, Juhas U, Rychlicka-Buniowska E, Wójcik M, Horbacz M, Jąkalski M, Olszewski P, Westholm JO, Smialowska A, Wierzba K, Torinsson Naluai Å, Jern N, Andersson LM, Järhult JD, Filipowicz N, Tiensuu Janson E, Rubertsson S, Lipcsey M, Gisslén M, Hultström M, Frithiof R, Dumanski JP. Loss of Y in leukocytes as a risk factor for critical COVID-19 in men. Genome Med 2022; 14:139. [PMID: 36514076 PMCID: PMC9747543 DOI: 10.1186/s13073-022-01144-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 11/23/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic, which has a prominent social and economic impact worldwide, shows a largely unexplained male bias for the severity and mortality of the disease. Loss of chromosome Y (LOY) is a risk factor candidate in COVID-19 due to its prior association with many chronic age-related diseases, and its impact on immune gene transcription. METHODS Publicly available scRNA-seq data of PBMC samples derived from male patients critically ill with COVID-19 were reanalyzed, and LOY status was added to the annotated cells. We further studied LOY in whole blood for 211 COVID-19 patients treated at intensive care units (ICU) from the first and second waves of the pandemic. Of these, 139 patients were subject to cell sorting for LOY analysis in granulocytes, low-density neutrophils (LDNs), monocytes, and PBMCs. RESULTS Reanalysis of available scRNA-seq data revealed LDNs and monocytes as the cell types most affected by LOY. Subsequently, DNA analysis indicated that 46%, 32%, and 29% of critically ill patients showed LOY above 5% cut-off in LDNs, granulocytes, and monocytes, respectively. Hence, the myeloid lineage that is crucial for the development of severe COVID-19 phenotype is affected by LOY. Moreover, LOY correlated with increasing WHO score (median difference 1.59%, 95% HDI 0.46% to 2.71%, p=0.025), death during ICU treatment (median difference 1.46%, 95% HDI 0.47% to 2.43%, p=0.0036), and history of vessel disease (median difference 2.16%, 95% HDI 0.74% to 3.7%, p=0.004), among other variables. In 16 recovered patients, sampled during ICU stay and 93-143 days later, LOY decreased significantly in whole blood and PBMCs. Furthermore, the number of LDNs at the recovery stage decreased dramatically (median difference 76.4 per 10,000 cell sorting events, 95% HDI 55.5 to 104, p=6e-11). CONCLUSIONS We present a link between LOY and an acute, life-threatening infectious disease. Furthermore, this study highlights LOY as the most prominent clonal mutation affecting the myeloid cell lineage during emergency myelopoiesis. The correlation between LOY level and COVID-19 severity might suggest that this mutation affects the functions of monocytes and neutrophils, which could have consequences for male innate immunity.
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Affiliation(s)
- Bożena Bruhn-Olszewska
- grid.8993.b0000 0004 1936 9457Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Hanna Davies
- grid.8993.b0000 0004 1936 9457Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Daniil Sarkisyan
- grid.8993.b0000 0004 1936 9457Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Ulana Juhas
- grid.11451.300000 0001 0531 34263P-Medicine Laboratory, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland
| | - Edyta Rychlicka-Buniowska
- grid.11451.300000 0001 0531 34263P-Medicine Laboratory, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland
| | - Magdalena Wójcik
- grid.11451.300000 0001 0531 34263P-Medicine Laboratory, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland
| | - Monika Horbacz
- grid.11451.300000 0001 0531 34263P-Medicine Laboratory, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland
| | - Marcin Jąkalski
- grid.11451.300000 0001 0531 34263P-Medicine Laboratory, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland
| | - Paweł Olszewski
- grid.11451.300000 0001 0531 34263P-Medicine Laboratory, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland
| | - Jakub O. Westholm
- grid.10548.380000 0004 1936 9377National Bioinformatics Infrastructure Sweden, Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Stockholm, Sweden
| | - Agata Smialowska
- grid.10548.380000 0004 1936 9377National Bioinformatics Infrastructure Sweden, Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Stockholm, Sweden
| | - Karol Wierzba
- grid.11451.300000 0001 0531 3426Department and Clinic of Rheumatology, Clinical Immunology, Geriatrics and Internal Medicine, Medical University of Gdańsk, Gdańsk, Poland
| | - Åsa Torinsson Naluai
- grid.8761.80000 0000 9919 9582Department of Laboratory Medicine, Institute of Biomedicine and Biobank Core Facility, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Niklas Jern
- grid.8761.80000 0000 9919 9582Department of Laboratory Medicine, Institute of Biomedicine and Biobank Core Facility, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Lars-Magnus Andersson
- grid.8761.80000 0000 9919 9582Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden ,grid.1649.a000000009445082XDepartment of Infectious Diseases, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Josef D. Järhult
- grid.8993.b0000 0004 1936 9457Zoonosis Science Center, Department of Medical Sciences, Uppsala, Sweden, Uppsala University, Uppsala, Sweden
| | - Natalia Filipowicz
- grid.11451.300000 0001 0531 34263P-Medicine Laboratory, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland
| | - Eva Tiensuu Janson
- grid.8993.b0000 0004 1936 9457Department of Medical Sciences, Endocrine Oncology Unit, Uppsala University, Uppsala, Sweden
| | - Sten Rubertsson
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Anesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
| | - Miklós Lipcsey
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Anesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden ,grid.8993.b0000 0004 1936 9457Hedenstierna laboratory, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Magnus Gisslén
- grid.8761.80000 0000 9919 9582Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden ,grid.1649.a000000009445082XDepartment of Infectious Diseases, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Michael Hultström
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Anesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden ,grid.8993.b0000 0004 1936 9457Integrative Physiology, Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Robert Frithiof
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Anesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
| | - Jan P. Dumanski
- grid.8993.b0000 0004 1936 9457Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden ,grid.11451.300000 0001 0531 34263P-Medicine Laboratory, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland
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12
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Duan Q, Gao Y, Cao X, Wang S, Xu M, Jones OD, Xu X. Mosaic loss of chromosome Y in peripheral blood cells is associated with age-related macular degeneration in men. Cell Biosci 2022; 12:73. [PMID: 35642040 PMCID: PMC9153148 DOI: 10.1186/s13578-022-00811-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 05/11/2022] [Indexed: 11/10/2022] Open
Abstract
Background Age-related macular degeneration (AMD) is the leading cause of severe vision loss in patients over 55 years old in the industrialized world. In the past 20 years, approximately 288 million patents have been affected by this disease. Despite this high prevalence, the molecular mechanism for AMD remains unclear, and there remains no effective treatment for this disease. The mosaic loss of Y chromosome (mLOY) has been identified as a common phenomenon in multiple age-related disease (i.e., oncogenesis and cardiovascular disease) has recently been identified by genome-wide analysis to be linked to AMD as well. As the Y chromosome mainly possesses three genomic functions, sister chromatin cohesion, cell cycle mitosis, and apoptotic signaling, here we characterize the Y chromosome euchromatic genes and non-chromosome AMD genes in relevance to cellular proliferation and apoptotic signaling of leukocytes. Results Using STRING, a publically available database of all protein–protein interaction, Grassmann et al. found the genes on the Y chromosome is mainly believed to take part in three major cellular genomic functions- sister chromatin cohesion, cell cycle mitosis, and apoptotic signaling. Based on data from the Ensembl Genome database, we focus on our discussion on coding genes found in the euchromatins but not the PAR1 and PAR2 regions of the Y chromosomes. All 14 known euchromatic genes on the Y chromosome short arm and all 31 known euchromatic genes on the Y chromosome long arm (Yq) are directly or indirectly involved in the cell cycle (meiosis and mitosis) and proliferation. We sorted non-Y chromosome AMD associated genes into these three categories to identify signaling pathways that may compound with cellular dysregulation due to mLOY. Of the genes associated with AMD, complement pathway genes such as C2, C9 and CFH/ARMD4 are associated with proliferation, receptor-mediated endocytosis genes such as APOE, DAB2 and others associated with apoptotic signaling. Because nucleated cells found in peripheral circulation are mainly composed of leukocytes with reduced expression of CD99, a protein essential for leukocytes adhesion, translocation, and function, mLOY in these cells likely affect retinal degeneration through altered immunological surveillance. In fact, there is precedence that circulating macrophage can stabilize and modify the cardiac rhythm and contractility post ischemic damage. Therefore, the most likely mechanism through which peripheral mLOY affects AMD development in men is through the role affected leukocytes play in retinal proliferation and apoptosis. Conclusions mLOY in peripheral blood is newly discovered in AMD by Grassmann et al. as it is a common phenomenon in oncogenesis and cardiac dysfunction. Here the recent data conclude the possible mechanism for the newly identified link between mLOY and AMD, and provide support that mLOY in circulating macrophage-monocyte of affected male patients promotes AMD by targeting the retina and causing macular degeneration. Supplementary Information The online version contains supplementary material available at 10.1186/s13578-022-00811-9.
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13
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Cīrulis A, Hansson B, Abbott JK. Sex-limited chromosomes and non-reproductive traits. BMC Biol 2022; 20:156. [PMID: 35794589 PMCID: PMC9261002 DOI: 10.1186/s12915-022-01357-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 06/22/2022] [Indexed: 12/03/2022] Open
Abstract
Sex chromosomes are typically viewed as having originated from a pair of autosomes, and differentiated as the sex-limited chromosome (e.g. Y) has degenerated by losing most genes through cessation of recombination. While often thought that degenerated sex-limited chromosomes primarily affect traits involved in sex determination and sex cell production, accumulating evidence suggests they also influence traits not sex-limited or directly involved in reproduction. Here, we provide an overview of the effects of sex-limited chromosomes on non-reproductive traits in XY, ZW or UV sex determination systems, and discuss evolutionary processes maintaining variation at sex-limited chromosomes and molecular mechanisms affecting non-reproductive traits.
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Affiliation(s)
- Aivars Cīrulis
- Department of Biology, Lund University, 223 62, Lund, Sweden.
| | - Bengt Hansson
- Department of Biology, Lund University, 223 62, Lund, Sweden
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14
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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15
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Fukami M, Miyado M. Mosaic loss of the Y chromosome and men's health. Reprod Med Biol 2022; 21:e12445. [PMID: 35386373 PMCID: PMC8967293 DOI: 10.1002/rmb2.12445] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 11/08/2022] Open
Affiliation(s)
- Maki Fukami
- Department of Molecular Endocrinology National Research Institute for Child Health and Development Tokyo Japan
| | - Mami Miyado
- Department of Molecular Endocrinology National Research Institute for Child Health and Development Tokyo Japan
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16
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Orta AH, Bush SJ, Gutiérrez-Mariscal M, Castro-Obregón S, Jaimes-Hoy L, Grande R, Vázquez G, Gorostieta-Salas E, Martínez-Pacheco M, Díaz-Barba K, Cornejo-Páramo P, Sanchez-Flores A, Székely T, Urrutia AO, Cortez D. Rats exhibit age-related mosaic loss of chromosome Y. Commun Biol 2021; 4:1418. [PMID: 34934158 DOI: 10.1038/s42003-021-02936-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 11/29/2021] [Indexed: 01/01/2023] Open
Abstract
Mosaic loss of the Y chromosome (LOY) is the most frequent chromosomal aberration in aging men and is strongly correlated with mortality and disease. To date, studies of LOY have only been performed in humans, and so it is unclear whether LOY is a natural consequence of our relatively long lifespan or due to exposure to human-specific external stressors. Here, we explored whether LOY could be detected in rats. We applied a locus-specific PCR and target sequencing approach that we used as a proxy to estimate LOY in 339 samples covering eleven tissues from young and old individuals. We detected LOY in four tissues of older rats. To confirm the results from the PCR screening, we re-sequenced 60 full genomes from old rats, which revealed that the Y chromosome is the sole chromosome with low copy numbers. Finally, our results suggest that LOY is associated with other structural aberrations on the Y chromosome and possibly linked to the mosaic loss of the X chromosome. This is the first report, to our knowledge, demonstrating that the patterns of LOY observed in aging men are also present in a rodent, and conclude that LOY may be a natural process in placental mammals.
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17
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Riaz M, Mattisson J, Polekhina G, Bakshi A, Halvardson J, Danielsson M, Ameur A, McNeil J, Forsberg LA, Lacaze P. A polygenic risk score predicts mosaic loss of chromosome Y in circulating blood cells. Cell Biosci 2021; 11:205. [PMID: 34895331 PMCID: PMC8667399 DOI: 10.1186/s13578-021-00716-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 11/19/2021] [Indexed: 11/23/2022] Open
Abstract
Background Mosaic loss of Y chromosome (LOY) is the most common somatic change that occurs in circulating white blood cells of older men. LOY in leukocytes is associated with increased risk for all-cause mortality and a range of common disease such as hematological and non-hematological cancer, Alzheimer’s disease, and cardiovascular events. Recent genome-wide association studies identified up to 156 germline variants associated with risk of LOY. The objective of this study was to use these variants to calculate a novel polygenic risk score (PRS) for LOY, and to assess the predictive performance of this score in a large independent population of older men. Results We calculated a PRS for LOY in 5131 men aged 70 years and older. Levels of LOY were estimated using microarrays and validated by whole genome sequencing. After adjusting for covariates, the PRS was a significant predictor of LOY (odds ratio [OR] = 1.74 per standard deviation of the PRS, 95% confidence intervals [CI] 1.62–1.86, p < 0.001). Men in the highest quintile of the PRS distribution had > fivefold higher risk of LOY than the lowest (OR = 5.05, 95% CI 4.05–6.32, p < 0.001). Adding the PRS to a LOY prediction model comprised of age, smoking and alcohol consumption significantly improved prediction (AUC = 0.628 [CI 0.61–0.64] to 0.695 [CI 0.67–0.71], p < 0.001). Conclusions Our results suggest that a PRS for LOY could become a useful tool for risk prediction and targeted intervention for common disease in men. Supplementary Information The online version contains supplementary material available at 10.1186/s13578-021-00716-z.
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Affiliation(s)
- Moeen Riaz
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jonas Mattisson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Galina Polekhina
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Andrew Bakshi
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jonatan Halvardson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Marcus Danielsson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Adam Ameur
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - John McNeil
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Lars A Forsberg
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. .,The Beijer Laboratory, Uppsala University, Uppsala, Sweden.
| | - Paul Lacaze
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
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18
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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? Mutat Res Rev Mutat Res 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] [What about the content of this article? (0)] [Affiliation(s)] [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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19
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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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20
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Mattisson J, Danielsson M, Hammond M, Davies H, Gallant CJ, Nordlund J, Raine A, Edén M, Kilander L, Ingelsson M, Dumanski JP, Halvardson J, Forsberg LA. Leukocytes with chromosome Y loss have reduced abundance of the cell surface immunoprotein CD99. Sci Rep 2021; 11:15160. [PMID: 34312421 PMCID: PMC8313698 DOI: 10.1038/s41598-021-94588-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 07/12/2021] [Indexed: 01/02/2023] Open
Abstract
Mosaic loss of chromosome Y (LOY) in immune cells is a male-specific mutation associated with increased risk for morbidity and mortality. The CD99 gene, positioned in the pseudoautosomal regions of chromosomes X and Y, encodes a cell surface protein essential for several key properties of leukocytes and immune system functions. Here we used CITE-seq for simultaneous quantification of CD99 derived mRNA and cell surface CD99 protein abundance in relation to LOY in single cells. The abundance of CD99 molecules was lower on the surfaces of LOY cells compared with cells without this aneuploidy in all six types of leukocytes studied, while the abundance of CD proteins encoded by genes located on autosomal chromosomes were independent from LOY. These results connect LOY in single cells with immune related cellular properties at the protein level, providing mechanistic insight regarding disease vulnerability in men affected with mosaic chromosome Y loss in blood leukocytes.
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Affiliation(s)
- Jonas Mattisson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Marcus Danielsson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Maria Hammond
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Hanna Davies
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Caroline J Gallant
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Jessica Nordlund
- Department of Medical Sciences, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Amanda Raine
- Department of Medical Sciences, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Malin Edén
- Department of Public Health and Caring Sciences / Geriatrics, Uppsala University, Uppsala, Sweden
| | - Lena Kilander
- Department of Public Health and Caring Sciences / Geriatrics, Uppsala University, Uppsala, Sweden
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences / Geriatrics, Uppsala University, Uppsala, Sweden
| | - Jan P Dumanski
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.,Faculty of Pharmacy, 3P Medicine Laboratory, International Research Agendas Programme, Medical University of Gdańsk, Gdańsk, Poland
| | - Jonatan Halvardson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Lars A Forsberg
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. .,The Beijer Laboratory, Uppsala University, Uppsala, Sweden.
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21
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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22
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Zhao Y, Stankovic S, Koprulu M, Wheeler E, Day FR, Lango Allen H, Kerrison ND, Pietzner M, Loh PR, Wareham NJ, Langenberg C, Ong KK, Perry JRB. GIGYF1 loss of function is associated with clonal mosaicism and adverse metabolic health. Nat Commun 2021; 12:4178. [PMID: 34234147 DOI: 10.1038/s41467-021-24504-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 06/21/2021] [Indexed: 12/01/2022] Open
Abstract
Mosaic loss of chromosome Y (LOY) in leukocytes is the most common form of clonal mosaicism, caused by dysregulation in cell-cycle and DNA damage response pathways. Previous genetic studies have focussed on identifying common variants associated with LOY, which we now extend to rarer, protein-coding variation using exome sequences from 82,277 male UK Biobank participants. We find that loss of function of two genes—CHEK2 and GIGYF1—reach exome-wide significance. Rare alleles in GIGYF1 have not previously been implicated in any complex trait, but here loss-of-function carriers exhibit six-fold higher susceptibility to LOY (OR = 5.99 [3.04–11.81], p = 1.3 × 10−10). These same alleles are also associated with adverse metabolic health, including higher susceptibility to Type 2 Diabetes (OR = 6.10 [3.51–10.61], p = 1.8 × 10−12), 4 kg higher fat mass (p = 1.3 × 10−4), 2.32 nmol/L lower serum IGF1 levels (p = 1.5 × 10−4) and 4.5 kg lower handgrip strength (p = 4.7 × 10−7) consistent with proposed GIGYF1 enhancement of insulin and IGF-1 receptor signalling. These associations are mirrored by a common variant nearby associated with the expression of GIGYF1. Our observations highlight a potential direct connection between clonal mosaicism and metabolic health. Mosaic loss of chromosome Y (LOY) is a common form of clonal mosaicism in leukocytes. Here, the authors extend genetic association analyses to rare variation using exome-sequence data from 82,277 males, finding that loss-of-function alleles in GIGYF1 are associated with six-fold higher susceptibility to both LOY and Type 2 Diabetes.
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23
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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: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 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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24
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Dumanski JP, Halvardson J, Davies H, Rychlicka-Buniowska E, Mattisson J, Moghadam BT, Nagy N, Węglarczyk K, Bukowska-Strakova K, Danielsson M, Olszewski P, Piotrowski A, Oerton E, Ambicka A, Przewoźnik M, Bełch Ł, Grodzicki T, Chłosta PL, Imreh S, Giedraitis V, Kilander L, Nordlund J, Ameur A, Gyllensten U, Johansson Å, Józkowicz A, Siedlar M, Klich-Rączka A, Jaszczyński J, Enroth S, Baran J, Ingelsson M, Perry JRB, Ryś J, Forsberg LA. Immune cells lacking Y chromosome show dysregulation of autosomal gene expression. Cell Mol Life Sci 2021; 78:4019-4033. [PMID: 33837451 PMCID: PMC8106578 DOI: 10.1007/s00018-021-03822-w] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 03/01/2021] [Accepted: 03/25/2021] [Indexed: 01/09/2023]
Abstract
Epidemiological investigations show that mosaic loss of chromosome Y (LOY) in leukocytes is associated with earlier mortality and morbidity from many diseases in men. LOY is the most common acquired mutation and is associated with aberrant clonal expansion of cells, yet it remains unclear whether this mosaicism exerts a direct physiological effect. We studied DNA and RNA from leukocytes in sorted- and single-cells in vivo and in vitro. DNA analyses of sorted cells showed that men diagnosed with Alzheimer's disease was primarily affected with LOY in NK cells whereas prostate cancer patients more frequently displayed LOY in CD4 + T cells and granulocytes. Moreover, bulk and single-cell RNA sequencing in leukocytes allowed scoring of LOY from mRNA data and confirmed considerable variation in the rate of LOY across individuals and cell types. LOY-associated transcriptional effect (LATE) was observed in ~ 500 autosomal genes showing dysregulation in leukocytes with LOY. The fraction of LATE genes within specific cell types was substantially larger than the fraction of LATE genes shared between different subsets of leukocytes, suggesting that LOY might have pleiotropic effects. LATE genes are involved in immune functions but also encode proteins with roles in other diverse biological processes. Our findings highlight a surprisingly broad role for chromosome Y, challenging the view of it as a "genetic wasteland", and support the hypothesis that altered immune function in leukocytes could be a mechanism linking LOY to increased risk for disease.
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Affiliation(s)
- Jan P Dumanski
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. .,Faculty of Pharmacy and 3P Medicine Laboratory, International Research Agendas Programme, Medical University of Gdańsk, Gdańsk, Poland.
| | - Jonatan Halvardson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Hanna Davies
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Edyta Rychlicka-Buniowska
- International Research Agendas Programme, 3P Medicine Laboratory, Medical University of Gdańsk, Gdańsk, Poland
| | - Jonas Mattisson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Behrooz Torabi Moghadam
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Noemi Nagy
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Kazimierz Węglarczyk
- Department of Clinical Immunology, Institute of Paediatrics, Jagiellonian University, Collegium Medicum, Kraków, Poland
| | - Karolina Bukowska-Strakova
- Department of Clinical Immunology, Institute of Paediatrics, Jagiellonian University, Collegium Medicum, Kraków, Poland
| | - Marcus Danielsson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Paweł Olszewski
- International Research Agendas Programme, 3P Medicine Laboratory, Medical University of Gdańsk, Gdańsk, Poland
| | - Arkadiusz Piotrowski
- Faculty of Pharmacy and 3P Medicine Laboratory, International Research Agendas Programme, Medical University of Gdańsk, Gdańsk, Poland
| | - Erin Oerton
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Aleksandra Ambicka
- Department of Tumour Pathology, Kraków Branch, Maria Skłodowska-Curie Memorial Cancer Centre and Institute of Oncology, Kraków, Poland
| | - Marcin Przewoźnik
- Department of Tumour Pathology, Kraków Branch, Maria Skłodowska-Curie Memorial Cancer Centre and Institute of Oncology, Kraków, Poland
| | - Łukasz Bełch
- Department and Clinic of Urology, Jagiellonian University, Collegium Medicum, Kraków, Poland
| | - Tomasz Grodzicki
- Department and Clinic of Internal Medicine and Gerontology, Jagiellonian University, Collegium Medicum, Kraków, Poland
| | - Piotr L Chłosta
- Department and Clinic of Urology, Jagiellonian University, Collegium Medicum, Kraków, Poland
| | - Stefan Imreh
- Department Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Lena Kilander
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Jessica Nordlund
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Adam Ameur
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Alicja Józkowicz
- Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Kraków, Poland
| | - Maciej Siedlar
- Department of Clinical Immunology, Institute of Paediatrics, Jagiellonian University, Collegium Medicum, Kraków, Poland
| | - Alicja Klich-Rączka
- Department and Clinic of Internal Medicine and Gerontology, Jagiellonian University, Collegium Medicum, Kraków, Poland
| | - Janusz Jaszczyński
- Department of Urology, Maria Skłodowska-Curie Memorial Cancer Centre, Institute of Oncology, Kraków Branch, Kraków, Poland
| | - Stefan Enroth
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Jarosław Baran
- Department of Clinical Immunology, Institute of Paediatrics, Jagiellonian University, Collegium Medicum, Kraków, Poland
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - John R B Perry
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Janusz Ryś
- Department of Tumour Pathology, Kraków Branch, Maria Skłodowska-Curie Memorial Cancer Centre and Institute of Oncology, Kraków, Poland
| | - Lars A Forsberg
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. .,The Beijer Laboratory, Uppsala University, Uppsala, Sweden.
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25
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Ouseph MM, Hasserjian RP, Dal Cin P, Lovitch SB, Steensma DP, Nardi V, Weinberg OK. Genomic alterations in patients with somatic loss of the Y chromosome as the sole cytogenetic finding in bone marrow cells. Haematologica 2021; 106:555-564. [PMID: 32193254 PMCID: PMC7849577 DOI: 10.3324/haematol.2019.240689] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 03/19/2020] [Indexed: 01/23/2023] Open
Abstract
Loss of the Y chromosome (LOY) is one of the most common somatic genomic alterations in hematopoietic cells in men. However, due to the high prevalence of LOY as the sole cytogenetic finding in the healthy older population, differentiating isolated LOY associated with clonal hematologic processes from aging-associated mosaicism can be difficult in the absence of definitive morphological features of disease. In the past, various investigators have proposed that a high percentage of metaphases with LOY is more likely to represent expansion of a clonal myeloid disease-associated population. It is unknown whether the proportion of metaphases with LOY is associated with the incidence of myeloid neoplasia-associated genomic alterations. To address this question, we identified bone marrow samples with LOY as an isolated cytogenetic finding and used targeted next generation sequencing-based molecular analysis to identify common myeloid neoplasia-associated somatic mutations. Among 73 patients with a median age of 75 years (range, 29-90), the percentage of metaphases with LOY was <25% in 23 patients, 25-49% in 10, 50-74% in 8 and ≥75% in 32. A threshold of ≥75% LOY was significantly associated with a morphological diagnosis of myeloid neoplasm (P=0.004). Furthermore, ≥75% LOY was associated with a higher lifetime incidence of a diagnosis of myelodysplastic syndromes (MDS) (P<0.0001), and in multivariate analysis ≥75% LOY was a statistically significant independent predictor of myeloid neoplasia (odds ratio 6.17; 95% confidence interval: 2.15-17.68; P=0.0007]. Higher LOY percentage (≥75%) was associated with greater likelihood of having somatic mutations (P=0.0009) and a higher number of these mutations (P=0.0002). Our findings indicate that ≥75% LOY in bone marrow cells is associated with an increased likelihood of molecular aberrations in genes commonly seen to be altered in myeloid neoplasia and with morphological features of MDS. These observations suggest that ≥75% LOY in bone marrow should be considered an MDS-associated cytogenetic aberration.
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Affiliation(s)
- Madhu M Ouseph
- Department of Pathology, Brigham and Women's Hospital, Boston, USA
| | | | - Paola Dal Cin
- Department of Pathology, Brigham and Women's Hospital, Boston, USA
| | - Scott B Lovitch
- Department of Pathology, Brigham and Women's Hospital, Boston, USA
| | - David P Steensma
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - Valentina Nardi
- Department of Pathology, Massachusetts General Hospital, Boston, USA
| | - Olga K Weinberg
- Department of Pathology, Boston Children Hospital, Boston, USA
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26
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Affiliation(s)
- Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University
| | - Lars A Forsberg
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University; The Beijer Laboratory, Uppsala University, Uppsala.
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27
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González JR, López-Sánchez M, Cáceres A, Puig P, Esko T, Pérez-Jurado LA. MADloy: robust detection of mosaic loss of chromosome Y from genotype-array-intensity data. BMC Bioinformatics 2020; 21:533. [PMID: 33225898 PMCID: PMC7682048 DOI: 10.1186/s12859-020-03768-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 09/20/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Accurate protocols and methods to robustly detect the mosaic loss of chromosome Y (mLOY) are needed given its reported role in cancer, several age-related disorders and overall male mortality. Intensity SNP-array data have been used to infer mLOY status and to determine its prominent role in male disease. However, discrepancies of reported findings can be due to the uncertainty and variability of the methods used for mLOY detection and to the differences in the tissue-matrix used. RESULTS We created a publicly available software tool called MADloy (Mosaic Alteration Detection for LOY) that incorporates existing methods and includes a new robust approach, allowing efficient calling in large studies and comparisons between methods. MADloy optimizes mLOY calling by correctly modeling the underlying reference population with no-mLOY status and incorporating B-deviation information. We observed improvements in the calling accuracy to previous methods, using experimentally validated samples, and an increment in the statistical power to detect associations with disease and mortality, using simulation studies and real dataset analyses. To understand discrepancies in mLOY detection across different tissues, we applied MADloy to detect the increment of mLOY cellularity in blood on 18 individuals after 3 years and to confirm that its detection in saliva was sub-optimal (41%). We additionally applied MADloy to detect the down-regulation genes in the chromosome Y in kidney and bladder tumors with mLOY, and to perform pathway analyses for the detection of mLOY in blood. CONCLUSIONS MADloy is a new software tool implemented in R for the easy and robust calling of mLOY status across different tissues aimed to facilitate its study in large epidemiological studies.
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Affiliation(s)
- Juan R González
- Barcelona Institute for Global Health (ISGlobal), 08003, Barcelona, Spain. .,Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain. .,Department of Mathematics, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.
| | - Marcos López-Sánchez
- Genetics Unit, Universitat Pompeu Fabra, Barcelona, Spain.,Institut Hospital del Mar D'Investigacions Mediques (IMIM), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Alejandro Cáceres
- Barcelona Institute for Global Health (ISGlobal), 08003, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain
| | - Pere Puig
- Department of Mathematics, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Tonu Esko
- Estonian Genome Centre Science Centre, University of Tartu, Tartu, Estonia
| | - Luis A Pérez-Jurado
- Genetics Unit, Universitat Pompeu Fabra, Barcelona, Spain.,Institut Hospital del Mar D'Investigacions Mediques (IMIM), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain.,SA Clinical Genetics, Women's and Children's Hospital, Adelaide, Australia.,South Australian Health and Medical Research Institute, University of Adelaide, Adelaide, Australia
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28
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Deschepper CF. Regulatory effects of the Uty/Ddx3y locus on neighboring chromosome Y genes and autosomal mRNA transcripts in adult mouse non-reproductive cells. Sci Rep 2020; 10:14900. [PMID: 32913328 PMCID: PMC7484786 DOI: 10.1038/s41598-020-71447-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 08/13/2020] [Indexed: 12/22/2022] Open
Abstract
In addition to sperm-related genes, the male-specific chromosome Y (chrY) contains a class of ubiquitously expressed and evolutionary conserved dosage-sensitive regulator genes that include the neighboring Uty, Ddx3y and (in mice) Eif2s3y genes. However, no study to date has investigated the functional impact of targeted mutations of any of these genes within adult non-reproductive somatic cells. We thus compared adult male mice carrying a gene trap within their Uty gene (UtyGT) to their wild-type (WT) isogenic controls, and performed deep sequencing of RNA and genome-wide profiling of chromatin features in extracts from either cardiac tissue, cardiomyocyte-specific nuclei or purified cardiomyocytes. The apparent impact of UtyGT on gene transcription concentrated mostly on chrY genes surrounding the locus of insertion, i.e. Uty, Ddx3y, long non-coding RNAs (lncRNAs) contained within their introns and Eif2s3y, in addition to possible effects on the autosomal Malat1 lncRNA. Notwithstanding, UtyGT also caused coordinate changes in the abundance of hundreds of mRNA transcripts related to coherent cell functions, including RNA processing and translation. The results altogether indicated that tightly co-regulated chrY genes had nonetheless more widespread effects on the autosomal transcriptome in adult somatic cells, most likely due to mechanisms other than just transcriptional regulation of corresponding protein-coding genes.
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Affiliation(s)
- Christian F Deschepper
- Cardiovascular Biology Research Unit, Institut de Recherches Cliniques de Montréal (IRCM) and Université de Montréal, 100 Pine Ave West, Montréal, QC, H2W 1R7, Canada.
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29
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Olney KC, Brotman SM, Andrews JP, Valverde-Vesling VA, Wilson MA. Reference genome and transcriptome informed by the sex chromosome complement of the sample increase ability to detect sex differences in gene expression from RNA-Seq data. Biol Sex Differ 2020; 11:42. [PMID: 32693839 PMCID: PMC7374973 DOI: 10.1186/s13293-020-00312-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 06/17/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Human X and Y chromosomes share an evolutionary origin and, as a consequence, sequence similarity. We investigated whether the sequence homology between the X and Y chromosomes affects the alignment of RNA-Seq reads and estimates of differential expression. We tested the effects of using reference genomes and reference transcriptomes informed by the sex chromosome complement of the sample's genome on the measurements of RNA-Seq abundance and sex differences in expression. RESULTS The default genome includes the entire human reference genome (GRCh38), including the entire sequence of the X and Y chromosomes. We created two sex chromosome complement informed reference genomes. One sex chromosome complement informed reference genome was used for samples that lacked a Y chromosome; for this reference genome version, we hard-masked the entire Y chromosome. For the other sex chromosome complement informed reference genome, to be used for samples with a Y chromosome, we hard-masked only the pseudoautosomal regions of the Y chromosome, because these regions are duplicated identically in the reference genome on the X chromosome. We analyzed the transcript abundance in the whole blood, brain cortex, breast, liver, and thyroid tissues from 20 genetic female (46, XX) and 20 genetic male (46, XY) samples. Each sample was aligned twice: once to the default reference genome and then independently aligned to a reference genome informed by the sex chromosome complement of the sample, repeated using two different read aligners, HISAT and STAR. We then quantified sex differences in gene expression using featureCounts to get the raw count estimates followed by Limma/Voom for normalization and differential expression. We additionally created sex chromosome complement informed transcriptome references for use in pseudo-alignment using Salmon. Transcript abundance was quantified twice for each sample: once to the default target transcripts and then independently to target transcripts informed by the sex chromosome complement of the sample. CONCLUSIONS We show that regardless of the choice of the read aligner, using an alignment protocol informed by the sex chromosome complement of the sample results in higher expression estimates on the pseudoautosomal regions of the X chromosome in both genetic male and genetic female samples, as well as an increased number of unique genes being called as differentially expressed between the sexes. We additionally show that using a pseudo-alignment approach informed on the sex chromosome complement of the sample eliminates Y-linked expression in female XX samples.
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Affiliation(s)
- Kimberly C Olney
- School of Life Sciences, Arizona State University, PO Box 874501, Tempe, AZ, 85287-4501, USA.,Center for Evolution and Medicine, Arizona State University, Tempe, AZ, 85282, USA
| | - Sarah M Brotman
- School of Life Sciences, Arizona State University, PO Box 874501, Tempe, AZ, 85287-4501, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Jocelyn P Andrews
- School of Life Sciences, Arizona State University, PO Box 874501, Tempe, AZ, 85287-4501, USA.,College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA, 91766, USA
| | | | - Melissa A Wilson
- School of Life Sciences, Arizona State University, PO Box 874501, Tempe, AZ, 85287-4501, USA. .,Center for Evolution and Medicine, Arizona State University, Tempe, AZ, 85282, USA. .,Center for Mechanisms of Evolution, The Biodesign Institute, Arizona State University, Tempe, AZ, 85282, USA.
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30
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Guo X, Dai X, Zhou T, Wang H, Ni J, Xue J, Wang X. Mosaic loss of human Y chromosome: what, how and why. Hum Genet 2020; 139:421-446. [DOI: 10.1007/s00439-020-02114-w] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 01/06/2020] [Indexed: 02/07/2023]
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31
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Thompson DJ, Genovese G, Halvardson J, Ulirsch JC, Wright DJ, Terao C, Davidsson OB, Day FR, Sulem P, Jiang Y, Danielsson M, Davies H, Dennis J, Dunlop MG, Easton DF, Fisher VA, Zink F, Houlston RS, Ingelsson M, Kar S, Kerrison ND, Kinnersley B, Kristjansson RP, Law PJ, Li R, Loveday C, Mattisson J, McCarroll SA, Murakami Y, Murray A, Olszewski P, Rychlicka-Buniowska E, Scott RA, Thorsteinsdottir U, Tomlinson I, Moghadam BT, Turnbull C, Wareham NJ, Gudbjartsson DF, Kamatani Y, Hoffmann ER, Jackson SP, Stefansson K, Auton A, Ong KK, Machiela MJ, Loh PR, Dumanski JP, Chanock SJ, Forsberg LA, Perry JRB. Genetic predisposition to mosaic Y chromosome loss in blood. Nature 2019; 575:652-657. [PMID: 31748747 PMCID: PMC6887549 DOI: 10.1038/s41586-019-1765-3] [Citation(s) in RCA: 161] [Impact Index Per Article: 32.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 10/04/2019] [Indexed: 12/13/2022]
Abstract
Mosaic loss of chromosome Y (LOY) in circulating white blood cells is the most common form of clonal mosaicism1-5, yet our knowledge of the causes and consequences of this is limited. Here, using a computational approach, we estimate that 20% of the male population represented in the UK Biobank study (n = 205,011) has detectable LOY. We identify 156 autosomal genetic determinants of LOY, which we replicate in 757,114 men of European and Japanese ancestry. These loci highlight genes that are involved in cell-cycle regulation and cancer susceptibility, as well as somatic drivers of tumour growth and targets of cancer therapy. We demonstrate that genetic susceptibility to LOY is associated with non-haematological effects on health in both men and women, which supports the hypothesis that clonal haematopoiesis is a biomarker of genomic instability in other tissues. Single-cell RNA sequencing identifies dysregulated expression of autosomal genes in leukocytes with LOY and provides insights into why clonal expansion of these cells may occur. Collectively, these data highlight the value of studying clonal mosaicism to uncover fundamental mechanisms that underlie cancer and other ageing-related diseases.
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Affiliation(s)
- Deborah J Thompson
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Giulio Genovese
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- 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, Cambridge, MA, USA
| | - Jonatan Halvardson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Jacob C Ulirsch
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Daniel J Wright
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Open Targets Core Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Chikashi Terao
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- Department of Applied Genetics, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | | | - Felix R Day
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | | | - Marcus Danielsson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Hanna Davies
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Malcolm G Dunlop
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit and CRUK Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Victoria A Fisher
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Martin Ingelsson
- Geriatrics Research Group, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Siddhartha Kar
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Nicola D Kerrison
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | | | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Rong Li
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chey Loveday
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Jonas Mattisson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Steven A McCarroll
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- 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, Cambridge, MA, USA
| | - Yoshinori Murakami
- Division of Molecular Pathology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Anna Murray
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Pawel Olszewski
- Faculty of Pharmacy, Medical University of Gdansk, Gdansk, Poland
| | - Edyta Rychlicka-Buniowska
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Faculty of Pharmacy, Medical University of Gdansk, Gdansk, Poland
| | - Robert A Scott
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Amgen, Reykjavík, Iceland
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Ian Tomlinson
- Cancer Genetics and Evolution Laboratory, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Behrooz Torabi Moghadam
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Clare Turnbull
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- William Harvey Research Institute, Queen Mary University, London, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Daniel F Gudbjartsson
- deCODE Genetics, Amgen, Reykjavík, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
- Kyoto-McGill International Collaborative School in Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Eva R Hoffmann
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Steve P Jackson
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- Wellcome Trust and Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge, UK
| | - Kari Stefansson
- deCODE Genetics, Amgen, Reykjavík, Iceland
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | | | - Ken K Ong
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Po-Ru Loh
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jan P Dumanski
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Faculty of Pharmacy, Medical University of Gdansk, Gdansk, Poland
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Lars A Forsberg
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Beijer Laboratory of Genome Research, Uppsala University, Uppsala, Sweden
| | - John R B Perry
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
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Danielsson M, Halvardson J, Davies H, Torabi Moghadam B, Mattisson J, Rychlicka-Buniowska E, Jaszczyński J, Heintz J, Lannfelt L, Giedraitis V, Ingelsson M, Dumanski JP, Forsberg LA. Longitudinal changes in the frequency of mosaic chromosome Y loss in peripheral blood cells of aging men varies profoundly between individuals. Eur J Hum Genet 2020; 28:349-57. [PMID: 31654039 DOI: 10.1038/s41431-019-0533-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 10/10/2019] [Accepted: 10/13/2019] [Indexed: 11/18/2022] Open
Abstract
Mosaic loss of chromosome Y (LOY) is the most common somatic genetic aberration and is associated with increased risk for all-cause mortality, various forms of cancer and Alzheimer’s disease, as well as other common human diseases. By tracking LOY frequencies in subjects from which blood samples have been serially collected up to five times during up to 22 years, we observed a pronounced intra-individual variation of changes in the frequency of LOY within individual men over time. We observed that in some individuals the frequency of LOY in blood clearly progressed over time and that in other men, the frequency was constant or showed other types of longitudinal development. The predominant method used for estimating LOY is calculation of the median Log R Ratio of probes located in the male specific part of chromosome Y (mLRRY) from intensity data generated by SNP-arrays, which is difficult to interpret due to its logarithmic and inversed scale. We present here a formula to transform mLRRY-values to percentage of LOY that is a more comprehensible unit. The formula was derived using measurements of LOY from matched samples analysed using SNP-array, whole genome sequencing and a new AMELX/AMELY-based assay for droplet digital PCR. The methods described could be applied for analyses of the vast amount of SNP-array data already generated in the scientific community, allowing further discoveries of LOY associated diseases and outcomes.
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Anderson K, Cañadas-Garre M, Chambers R, Maxwell AP, McKnight AJ. The Challenges of Chromosome Y Analysis and the Implications for Chronic Kidney Disease. Front Genet 2019; 10:781. [PMID: 31552093 PMCID: PMC6737325 DOI: 10.3389/fgene.2019.00781] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 07/24/2019] [Indexed: 12/17/2022] Open
Abstract
The role of chromosome Y in chronic kidney disease (CKD) remains unknown, as chromosome Y is typically excluded from genetic analysis in CKD. The complex, sex-specific presentation of CKD could be influenced by chromosome Y genetic variation, but there is limited published research available to confirm or reject this hypothesis. Although traditionally thought to be associated with male-specific disease, evidence linking chromosome Y genetic variation to common complex disorders highlights a potential gap in CKD research. Chromosome Y variation has been associated with cardiovascular disease, a condition closely linked to CKD and one with a very similar sexual dimorphism. Relatively few sources of genetic variation in chromosome Y have been examined in CKD. The association between chromosome Y aneuploidy and CKD has never been explored comprehensively, while analyses of microdeletions, copy number variation, and single-nucleotide polymorphisms in CKD have been largely limited to the autosomes or chromosome X. In many studies, it is unclear whether the analyses excluded chromosome Y or simply did not report negative results. Lack of imputation, poor cross-study comparability, and requirement for separate or additional analyses in comparison with autosomal chromosomes means that chromosome Y is under-investigated in the context of CKD. Limitations in genotyping arrays could be overcome through use of whole-chromosome sequencing of chromosome Y that may allow analysis of many different types of genetic variation across the chromosome to determine if chromosome Y genetic variation is associated with CKD.
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Affiliation(s)
- Kerry Anderson
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University of Belfast, c/o Regional Genetics Centre, Belfast City Hospital, Belfast, United Kingdom
| | - Marisa Cañadas-Garre
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University of Belfast, c/o Regional Genetics Centre, Belfast City Hospital, Belfast, United Kingdom
| | - Robyn Chambers
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University of Belfast, c/o Regional Genetics Centre, Belfast City Hospital, Belfast, United Kingdom
| | - Alexander Peter Maxwell
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University of Belfast, c/o Regional Genetics Centre, Belfast City Hospital, Belfast, United Kingdom.,Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom
| | - Amy Jayne McKnight
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University of Belfast, c/o Regional Genetics Centre, Belfast City Hospital, Belfast, United Kingdom
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Grassmann F, Weber BHF, Veitia RA; International AMD Genomics Consortium (IAMDGC). Insights into the loss of the Y chromosome with age in control individuals and in patients with age-related macular degeneration using genotyping microarray data. Hum Genet 2020; 139:401-7. [PMID: 31134332 DOI: 10.1007/s00439-019-02029-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 05/15/2019] [Indexed: 10/26/2022]
Abstract
The extent of aneuploidy of the sex chromosomes increases with age in human leukocytes. Here, we re-explore the dynamics of normal loss of the Y chromosome (LOY) with age based on microarray data using two exponential models and two different ways to estimate the fraction of LOY. This analysis shows the existence of a significant correlation between the fraction of LOY estimated from molecular cytogenetics and genotyping microarray data. Although the specific estimates of the parameters for the two exponential models are different from those derived from cytogenetics data, the present analysis in an independent dataset of normal individuals confirms that X0 cells have a selective advantage over XY cells. Moreover, patients with age-related macular degeneration display higher fraction of LOY values and seem to have a predisposition to lose their Y chromosome even at young ages compared to control individuals. As there are no data available for the same individuals at different time points, the parameters reported here are average values drawn from population analyses.
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35
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Forsberg LA. Back to the drawing board-loss of chromosome Y (LOY) in leukocytes is associated with age-related macular degeneration. Eur J Hum Genet 2019; 27:17-9. [PMID: 30353152 DOI: 10.1038/s41431-018-0261-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 08/24/2018] [Indexed: 02/07/2023] Open
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