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Risch N. 2023 lifetime achievement award: "If you want to go fast, go alone; if you want to go far, go together". Am J Hum Genet 2024; 111:412-423. [PMID: 38458162 PMCID: PMC10995461 DOI: 10.1016/j.ajhg.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 02/06/2024] [Indexed: 03/10/2024] Open
Abstract
This article is based on the address given by the author at the 2023 meeting of The American Society of Human Genetics (ASHG). A video of the original address can be found at the ASHG website.
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Affiliation(s)
- Neil Risch
- Institute for Human Genetics, University of California San Francisco, San Fransisco, CA, USA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Fransisco, CA, USA; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
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2
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Elvidge KL, Christodoulou J, Farrar MA, Tilden D, Maack M, Valeri M, Ellis M, Smith NJC. The collective burden of childhood dementia: a scoping review. Brain 2023; 146:4446-4455. [PMID: 37471493 PMCID: PMC10629766 DOI: 10.1093/brain/awad242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/16/2023] [Accepted: 06/25/2023] [Indexed: 07/22/2023] Open
Abstract
Childhood dementia is a devastating and under-recognized group of disorders with a high level of unmet need. Typically monogenic in origin, this collective of individual neurodegenerative conditions are defined by a progressive impairment of neurocognitive function, presenting in childhood and adolescence. This scoping review aims to clarify definitions and conceptual boundaries of childhood dementia and quantify the collective disease burden. A literature review identified conditions that met the case definition. An expert clinical working group reviewed and ratified inclusion. Epidemiological data were extracted from published literature and collective burden modelled. One hundred and seventy genetic childhood dementia disorders were identified. Of these, 25 were analysed separately as treatable conditions. Collectively, currently untreatable childhood dementia was estimated to have an incidence of 34.5 per 100 000 (1 in 2900 births), median life expectancy of 9 years and prevalence of 5.3 per 100 000 persons. The estimated number of premature deaths per year is similar to childhood cancer (0-14 years) and approximately 70% of those deaths will be prior to adulthood. An additional 49.8 per 100 000 births are attributable to treatable conditions that would cause childhood dementia if not diagnosed early and stringently treated. A relational database of the childhood dementia disorders has been created and will be continually updated as new disorders are identified (https://knowledgebase.childhooddementia.org/). We present the first comprehensive overview of monogenic childhood dementia conditions and their collective epidemiology. Unifying these conditions, with consistent language and definitions, reinforces motivation to advance therapeutic development and health service supports for this significantly disadvantaged group of children and their families.
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Affiliation(s)
| | - John Christodoulou
- Brain and Mitochondrial Research Group, Murdoch Children’s Research Institute, Royal Children's Hospital, Parkville, Victoria 3052, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Michelle A Farrar
- Department of Neurology, Sydney Children's Hospital Network, Randwick, NSW 2031, Australia
- Discipline of Paediatrics, School of Clinical Medicine, UNSW Medicine and Health, Sydney, NSW 2052, Australia
| | | | - Megan Maack
- Childhood Dementia Initiative, Brookvale, NSW 2100, Australia
| | | | - Magda Ellis
- THEMA Consulting Pty Ltd, Pyrmont, NSW 2009, Australia
| | - Nicholas J C Smith
- Discipline of Paediatrics, University of Adelaide, Women's and Children's Hospital, North Adelaide, South Australia 5006, Australia
- Department of Neurology and Clinical Neurophysiology, Women’s and Children’s Health Network, North Adelaide, South Australia 5006, Australia
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3
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Fan J, Hale VL, Lelieveld LT, Whitworth LJ, Busch-Nentwich EM, Troll M, Edelstein PH, Cox TM, Roca FJ, Aerts JMFG, Ramakrishnan L. Gaucher disease protects against tuberculosis. Proc Natl Acad Sci U S A 2023; 120:e2217673120. [PMID: 36745788 PMCID: PMC7614233 DOI: 10.1073/pnas.2217673120] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 12/31/2022] [Indexed: 02/08/2023] Open
Abstract
Biallelic mutations in the glucocerebrosidase (GBA1) gene cause Gaucher disease, characterized by lysosomal accumulation of glucosylceramide and glucosylsphingosine in macrophages. Gaucher and other lysosomal diseases occur with high frequency in Ashkenazi Jews. It has been proposed that the underlying mutations confer a selective advantage, in particular conferring protection against tuberculosis. Here, using a zebrafish Gaucher disease model, we find that the mutation GBA1 N370S, predominant among Ashkenazi Jews, increases resistance to tuberculosis through the microbicidal activity of glucosylsphingosine in macrophage lysosomes. Consistent with lysosomal accumulation occurring only in homozygotes, heterozygotes remain susceptible to tuberculosis. Thus, our findings reveal a mechanistic basis for protection against tuberculosis by GBA1 N370S and provide biological plausibility for its selection if the relatively mild deleterious effects in homozygotes were offset by significant protection against tuberculosis, a rampant killer of the young in Europe through the Middle Ages into the 19th century.
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Affiliation(s)
- Jingwen Fan
- Molecular Immunity Unit, Cambridge Institute of Therapeutic Immunology and Infectious Diseases, Department of Medicine, University of Cambridge, CambridgeCB2 0QH, UK
- MRC Laboratory of Molecular Biology, CambridgeCB2 0QH, UK
| | | | - Lindsey T. Lelieveld
- Department of Medical Biochemistry, Leiden Institute of Chemistry, Leiden University2333 CC, Leiden, The Netherlands
| | - Laura J. Whitworth
- Molecular Immunity Unit, Cambridge Institute of Therapeutic Immunology and Infectious Diseases, Department of Medicine, University of Cambridge, CambridgeCB2 0QH, UK
- MRC Laboratory of Molecular Biology, CambridgeCB2 0QH, UK
| | - Elisabeth M. Busch-Nentwich
- Molecular Immunity Unit, Cambridge Institute of Therapeutic Immunology and Infectious Diseases, Department of Medicine, University of Cambridge, CambridgeCB2 0QH, UK
- School of Biological and Behavioral Sciences, Queen Mary University of London, LondonE1 4NS, UK
| | - Mark Troll
- Molecular Immunity Unit, Cambridge Institute of Therapeutic Immunology and Infectious Diseases, Department of Medicine, University of Cambridge, CambridgeCB2 0QH, UK
- MRC Laboratory of Molecular Biology, CambridgeCB2 0QH, UK
| | - Paul H. Edelstein
- Molecular Immunity Unit, Cambridge Institute of Therapeutic Immunology and Infectious Diseases, Department of Medicine, University of Cambridge, CambridgeCB2 0QH, UK
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, PhiladelphiaPA19104
| | - Timothy M. Cox
- Department of Medicine, University of Cambridge, CambridgeCB2 0QQ, UK
| | - Francisco J. Roca
- Molecular Immunity Unit, Cambridge Institute of Therapeutic Immunology and Infectious Diseases, Department of Medicine, University of Cambridge, CambridgeCB2 0QH, UK
- Department of Biochemistry and Molecular Biology B and Immunology, University of Murcia, Murcia30120, Spain
- Biomedical Research Institute of Murcia Pascual Parrilla (IMIB-Arrixaca), Murcia30120, Spain
| | - Johannes M. F. G. Aerts
- Department of Medical Biochemistry, Leiden Institute of Chemistry, Leiden University2333 CC, Leiden, The Netherlands
| | - Lalita Ramakrishnan
- Molecular Immunity Unit, Cambridge Institute of Therapeutic Immunology and Infectious Diseases, Department of Medicine, University of Cambridge, CambridgeCB2 0QH, UK
- MRC Laboratory of Molecular Biology, CambridgeCB2 0QH, UK
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4
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Genome-wide data from medieval German Jews show that the Ashkenazi founder event pre-dated the 14 th century. Cell 2022; 185:4703-4716.e16. [PMID: 36455558 PMCID: PMC9793425 DOI: 10.1016/j.cell.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 08/26/2022] [Accepted: 11/01/2022] [Indexed: 12/05/2022]
Abstract
We report genome-wide data from 33 Ashkenazi Jews (AJ), dated to the 14th century, obtained following a salvage excavation at the medieval Jewish cemetery of Erfurt, Germany. The Erfurt individuals are genetically similar to modern AJ, but they show more variability in Eastern European-related ancestry than modern AJ. A third of the Erfurt individuals carried a mitochondrial lineage common in modern AJ and eight carried pathogenic variants known to affect AJ today. These observations, together with high levels of runs of homozygosity, suggest that the Erfurt community had already experienced the major reduction in size that affected modern AJ. The Erfurt bottleneck was more severe, implying substructure in medieval AJ. Overall, our results suggest that the AJ founder event and the acquisition of the main sources of ancestry pre-dated the 14th century and highlight late medieval genetic heterogeneity no longer present in modern AJ.
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Brace S, Diekmann Y, Booth T, Macleod R, Timpson A, Stephen W, Emery G, Cabot S, Thomas MG, Barnes I. Genomes from a medieval mass burial show Ashkenazi-associated hereditary diseases pre-date the 12th century. Curr Biol 2022; 32:4350-4359.e6. [PMID: 36044903 PMCID: PMC10499757 DOI: 10.1016/j.cub.2022.08.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/26/2022] [Accepted: 08/12/2022] [Indexed: 11/16/2022]
Abstract
We report genome sequence data from six individuals excavated from the base of a medieval well at a site in Norwich, UK. A revised radiocarbon analysis of the assemblage is consistent with these individuals being part of a historically attested episode of antisemitic violence on 6 February 1190 CE. We find that four of these individuals were closely related and all six have strong genetic affinities with modern Ashkenazi Jews. We identify four alleles associated with genetic disease in Ashkenazi Jewish populations and infer variation in pigmentation traits, including the presence of red hair. Simulations indicate that Ashkenazi-associated genetic disease alleles were already at appreciable frequencies, centuries earlier than previously hypothesized. These findings provide new insights into a significant historical crime, into Ashkenazi population history, and into the origins of genetic diseases associated with modern Jewish populations.
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Affiliation(s)
- Selina Brace
- Department of Earth Sciences, The Natural History Museum, Cromwell Road, London SW7 5BD, UK
| | - Yoan Diekmann
- Research Department of Genetics, Evolution and Environment, University College London, Gower Street, London WC1E 6BT, UK; Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iomE), Johannes Gutenberg-University Mainz, 55099 Mainz, Germany
| | - Thomas Booth
- Department of Earth Sciences, The Natural History Museum, Cromwell Road, London SW7 5BD, UK; Francis Crick Institute, London NW1 1AT, UK; UCL Genetics Institute, University College London, London, UK
| | - Ruairidh Macleod
- Department of Earth Sciences, The Natural History Museum, Cromwell Road, London SW7 5BD, UK; Research Department of Genetics, Evolution and Environment, University College London, Gower Street, London WC1E 6BT, UK; Department of Archaeology, University of Cambridge, Downing Street, Cambridge CB2 3DZ, UK
| | - Adrian Timpson
- Research Department of Genetics, Evolution and Environment, University College London, Gower Street, London WC1E 6BT, UK
| | - Will Stephen
- Department of Earth Sciences, The Natural History Museum, Cromwell Road, London SW7 5BD, UK
| | - Giles Emery
- Norvic Archaeology, 7 Foxburrow Road, Norwich NR7 8QU, UK
| | - Sophie Cabot
- Norfolk Record Office, The Archive Centre, Martineau Lane, Norwich, Norfolk NR1 2DQ, UK
| | - Mark G Thomas
- Research Department of Genetics, Evolution and Environment, University College London, Gower Street, London WC1E 6BT, UK.
| | - Ian Barnes
- Department of Earth Sciences, The Natural History Museum, Cromwell Road, London SW7 5BD, UK.
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6
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Labuda D, Harding T, Milot E, Vézina H. The effective family size of immigrant founders predicts their long-term demographic outcome: From Québec settlers to their 20th-century descendants. PLoS One 2022; 17:e0266079. [PMID: 35507549 PMCID: PMC9067642 DOI: 10.1371/journal.pone.0266079] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 03/14/2022] [Indexed: 11/19/2022] Open
Abstract
Population history reconstruction, using extant genetic diversity data, routinely relies on simple demographic models to project the past through ascending genealogical-tree branches. Because genealogy and genetics are intimately related, we traced descending genealogies of the Québec founders to pursue their fate and to assess their contribution to the present-day population. Focusing on the female and male founder lines, we observed important sex-biased immigration in the early colony years and documented a remarkable impact of these early immigrants on the genetic make-up of 20th-century Québec. We estimated the immigrants’ survival ratio as a proportion of lineages found in the 1931–60 Québec to their number introduced within the immigration period. We assessed the effective family size, EFS, of all immigrant parents and their Québec-born descendants. The survival ratio of the earliest immigrants was the highest and declined over centuries in association with the immigrants’ EFS. Parents with high EFS left plentiful married descendants, putting EFS as the most important variable determining the parental demographic success throughout time for generations ahead. EFS of immigrant founders appears to predict their long-term demographic and, consequently, their genetic outcome. Genealogically inferred immigrants’ "autosomal" genetic contribution to 1931–60 Québec from consecutive immigration periods follow the same yearly pattern as the corresponding maternal and paternal lines. Québec genealogical data offer much broader information on the ancestral diversity distribution than genetic scrutiny of a limited population sample. Genealogically inferred population history could assist studies of evolutionary factors shaping population structure and provide tools to target specific health interventions.
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Affiliation(s)
- Damian Labuda
- Centre de Recherche, CHU Sainte-Justine, Université de Montréal, Montreal, Québec, Canada
- Département de Pédiatrie, Université de Montréal, Montreal, Québec, Canada
- * E-mail:
| | - Tommy Harding
- Centre de Recherche, CHU Sainte-Justine, Université de Montréal, Montreal, Québec, Canada
- Département de chimie, biochimie et physique, Université du Québec à Trois-Rivières, Trois-Rivières, Québec, Canada
| | - Emmanuel Milot
- Département de chimie, biochimie et physique, Université du Québec à Trois-Rivières, Trois-Rivières, Québec, Canada
| | - Hélène Vézina
- Projet BALSAC, Université du Québec à Chicoutimi, Chicoutimi, Québec, Canada
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Loh M, Zhang W, Ng HK, Schmid K, Lamri A, Tong L, Ahmad M, Lee JJ, Ng MCY, Petty LE, Spracklen CN, Takeuchi F, Islam MT, Jasmine F, Kasturiratne A, Kibriya M, Mohlke KL, Paré G, Prasad G, Shahriar M, Chee ML, de Silva HJ, Engert JC, Gerstein HC, Mani KR, Sabanayagam C, Vujkovic M, Wickremasinghe AR, Wong TY, Yajnik CS, Yusuf S, Ahsan H, Bharadwaj D, Anand SS, Below JE, Boehnke M, Bowden DW, Chandak GR, Cheng CY, Kato N, Mahajan A, Sim X, McCarthy MI, Morris AP, Kooner JS, Saleheen D, Chambers JC. Identification of genetic effects underlying type 2 diabetes in South Asian and European populations. Commun Biol 2022; 5:329. [PMID: 35393509 PMCID: PMC8991226 DOI: 10.1038/s42003-022-03248-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 03/08/2022] [Indexed: 02/08/2023] Open
Abstract
South Asians are at high risk of developing type 2 diabetes (T2D). We carried out a genome-wide association meta-analysis with South Asian T2D cases (n = 16,677) and controls (n = 33,856), followed by combined analyses with Europeans (neff = 231,420). We identify 21 novel genetic loci for significant association with T2D (P = 4.7 × 10-8 to 5.2 × 10-12), to the best of our knowledge at the point of analysis. The loci are enriched for regulatory features, including DNA methylation and gene expression in relevant tissues, and highlight CHMP4B, PDHB, LRIG1 and other genes linked to adiposity and glucose metabolism. A polygenic risk score based on South Asian-derived summary statistics shows ~4-fold higher risk for T2D between the top and bottom quartile. Our results provide further insights into the genetic mechanisms underlying T2D, and highlight the opportunities for discovery from joint analysis of data from across ancestral populations.
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Affiliation(s)
- Marie Loh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UB1 3HW, UK
| | - Hong Kiat Ng
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore
| | - Katharina Schmid
- Institute of Computational Biology, Deutsches Forschungszentrum für Gesundheit und Umwelt, Helmholtz Zentrum München, 85764, Neuherberg, Germany
- Department of Informatics, Technical University of Munich, 85748, Garching bei München, Neuherberg, Germany
| | - Amel Lamri
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
| | - Lin Tong
- The University of Chicago, Biological Sciences Division, Public Health Sciences, 5841 South Maryland Avenue, MC2000, Chicago, IL, 60637, USA
| | - Meraj Ahmad
- Genomic Research on Complex diseases, CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
| | - Jung-Jin Lee
- Translational Medicine and Human Genetics, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Medicine, Mayo Hospital, Lahore, Pakistan
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, 37215, USA
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Lauren E Petty
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Cassandra N Spracklen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA, 01003, USA
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Md Tariqul Islam
- U Chicago Research Bangladesh, House#4, Road#2b, Sector#4, Uttara, Dhaka, 1230, Bangladesh
| | - Farzana Jasmine
- The University of Chicago, Biological Sciences Division, Public Health Sciences, 5841 South Maryland Avenue, MC2000, Chicago, IL, 60637, USA
| | - Anuradhani Kasturiratne
- Department of Public Health, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka
| | - Muhammad Kibriya
- The University of Chicago, Biological Sciences Division, Public Health Sciences, 5841 South Maryland Avenue, MC2000, Chicago, IL, 60637, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Guillaume Paré
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
| | - Gauri Prasad
- Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi, 110020, India
- Systems Genomics Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Mohammad Shahriar
- The University of Chicago, Biological Sciences Division, Public Health Sciences, 5841 South Maryland Avenue, MC2000, Chicago, IL, 60637, USA
| | - Miao Ling Chee
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - H Janaka de Silva
- Department of Medicine, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka
| | - James C Engert
- Department of Medicine, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Hertzel C Gerstein
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - K Radha Mani
- Genomic Research on Complex diseases, CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Marijana Vujkovic
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Ananda R Wickremasinghe
- Department of Public Health, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | - Salim Yusuf
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Habibul Ahsan
- The University of Chicago, Biological Sciences Division, Public Health Sciences, 5841 South Maryland Avenue, MC2000, Chicago, IL, 60637, USA
| | - Dwaipayan Bharadwaj
- Academy of Scientific and Innovative Research, CSIR-Institute of Genomics and Integrative Biology Campus, New Delhi, 110020, India
- Systems Genomics Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Sonia S Anand
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Donald W Bowden
- Department of Medicine, Mayo Hospital, Lahore, Pakistan
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, 37215, USA
| | - Giriraj R Chandak
- Genomic Research on Complex diseases, CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India
- JSS Academy of Health Education of Research, Mysuru, India
- Science and Engineering Research Board, Department of Science and Technology, Ministry of Science and technology, Government of India, New Delhi, India
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Anubha Mahajan
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hosptial, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 7LE, UK
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool, L69 3GL, UK
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UB1 3HW, UK.
- Imperial College Healthcare NHS Trust, Imperial College London, London, W12 0HS, UK.
- MRC-PHE Centre for Enviroment and Health, Imperial College London, London, W2 1PG, UK.
- National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK.
| | - Danish Saleheen
- Center for Non-Communicable Diseases, Karachi, Pakistan.
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, 10032, USA.
- Department of Cardiology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
| | - John C Chambers
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore.
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK.
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UB1 3HW, UK.
- Imperial College Healthcare NHS Trust, Imperial College London, London, W12 0HS, UK.
- MRC-PHE Centre for Enviroment and Health, Imperial College London, London, W2 1PG, UK.
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8
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Helman G, Zerem A, Almad A, Hacker JL, Woidill S, Sase S, LeFevre AN, Ekstein J, Johansson MM, Stutterd CA, Taft RJ, Simons C, Grinspan JB, Pizzino A, Schmidt JL, Harding B, Hirsch Y, Viaene AN, Fattal-Valevski A, Vanderver A. Further Delineation of the Clinical and Pathologic Features of HIKESHI-Related Hypomyelinating Leukodystrophy. Pediatr Neurol 2021; 121:11-19. [PMID: 34111619 PMCID: PMC8327280 DOI: 10.1016/j.pediatrneurol.2021.04.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/26/2021] [Accepted: 04/29/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND A recurrent homozygous missense variant, c.160G>C;p.(Val54Leu) in HIKESHI, was found to cause a hypomyelinating leukodystrophy with high frequency in the Ashkenazi Jewish population. We provide extended phenotypic classification of this disorder based on clinical history of a further seven affected individuals, assess carrier frequency in the Ashkenazi Jewish population, and provide a neuropathological study. METHODS Clinical information, neuroimaging, and biosamples were collected. Brain autopsy was performed for one case. RESULTS Individuals with HIKESHI-related disease share common clinical features: early axial hypotonia evolving to dystonia or with progressive spasticity, hyperreflexia and clonus, feeding difficulties with poor growth, and nystagmus. Severe morbidity or death during febrile illness occurred in five of the nine affected individuals. Magnetic resonance images of seven patients were analyzed and demonstrated diffuse hypomyelination and thin corpus callosum. Genotyping data of more than 125,000 Ashkenazi Jewish individuals revealed a carrier frequency of 1 in 216. Gross pathology examination in one case revealed abnormal white matter. Microscopically, there was a near-total absence of myelin with a relative preservation of axons. The cerebral white matter showed several reactive astrocytes and microglia. CONCLUSIONS We provide pathologic evidence for a primary disorder of the myelin in HIKESHI-related leukodystrophy. These findings are consistent with the hypomyelination seen in brain magnetic resonance imaging and with the clinical features of early-onset spastic/dystonic quadriplegia and nystagmus. The high carrier rate of the recurrent variant seen in the Ashkenazi Jewish population requires increased attention to screening and diagnosis of this condition, particularly in this population.
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Affiliation(s)
- Guy Helman
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Melbourne, Australia,Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Ayelet Zerem
- Pediatric Neurology Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Akshata Almad
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Julia L. Hacker
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Sarah Woidill
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Sunetra Sase
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | | | - Josef Ekstein
- Dor Yeshorim, Committee for Prevention of Jewish Genetic Diseases, Brooklyn, New York
| | - Martin M. Johansson
- Dor Yeshorim, Committee for Prevention of Jewish Genetic Diseases, Brooklyn, New York
| | - Chloe A. Stutterd
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Melbourne, Australia,Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | | | - Cas Simons
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Melbourne, Australia,Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Judith B. Grinspan
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania,Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Amy Pizzino
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Johanna L. Schmidt
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Brian Harding
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Yoel Hirsch
- Dor Yeshorim, Committee for Prevention of Jewish Genetic Diseases, Brooklyn, New York
| | - Angela N. Viaene
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania,Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Aviva Fattal-Valevski
- Pediatric Neurology Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Adeline Vanderver
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
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9
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Vasilyev V, Zakharova F, Bogoslovskay T, Mandelshtam M. Familial Hypercholesterolemia in Russia: Three Decades of Genetic Studies. Front Genet 2020; 11:550591. [PMID: 33391333 PMCID: PMC7773754 DOI: 10.3389/fgene.2020.550591] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 11/16/2020] [Indexed: 12/31/2022] Open
Abstract
The first studies of familial hypercholesterolemia (FH) in Russia go back to late 1980-ies. For more than 10 years the research in this field was carried out in Saint-Petersburg, the megapolis in the North-West Russia. Studies were focused on the search for causative mutations in low-density lipoprotein receptor gene (LDLR). Gradually the research was spread to Petrozavodsk in Karelia and in the XXI century two more centers contributed in investigations of genetics of FH, i.e., in Moscow and Novosibirsk. The best studied is the spectrum of mutations in LDLR, though genetic abnormalities in APOB and PCSK9 genes were also considered. Despite that some 40% mutations in LDLR found in Saint-Petersburg and Moscow are referred to as specific for Russian population, and this proportion is even higher in Karelia (ca. 70%), rapid introduction of NGS and intensifying genetic research all over the world result in continuous decrease of these numbers as "Slavic" mutations become documented in other countries. The samplings of genetically characterized patients in Russia were relatively small, which makes difficult to specify major mutations reflecting the national specificity of FH. Moreover, the majority of studies accomplished so far did not explore possible associations of certain mutations with ethnic origin of patients. By now the only exception is the study of Karelian population showing the absence of typical Finnish mutations in the region that borders on Finland. It can be concluded that the important primary research partly characterizing the mutation spectrum in FH patients both in the European and Siberian parts of Russia has been done. However, it seems likely that the most interesting and comprehensive genetic studies of FH in Russia, concerning various mutations in different genes and the variety of ethnic groups in this multi-national country, are still to be undertaken.
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Affiliation(s)
- Vadim Vasilyev
- Institute of Experimental Medicine, Saint Petersburg, Russia
- St. Petersburg State University, Saint Petersburg, Russia
| | - Faina Zakharova
- Institute of Experimental Medicine, Saint Petersburg, Russia
- St. Petersburg State University, Saint Petersburg, Russia
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10
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A founder deletion in the TRPM1 gene associated with congenital stationary night blindness and myopia is highly prevalent in Ashkenazi Jews. Hum Genome Var 2019; 6:45. [PMID: 31645983 PMCID: PMC6804618 DOI: 10.1038/s41439-019-0076-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 08/08/2019] [Accepted: 08/09/2019] [Indexed: 02/07/2023] Open
Abstract
Congenital stationary night blindness (CSNB) is a disease affecting the night vision of individuals. Previous studies identified TRPM1 as a gene involved in reduced night vision. Homozygous deletion of TRPM1 was the cause of CSNB in several children in 6 Ashkenazi Jewish families, thereby prompting further investigation of the carrier status within the families as well as in large cohorts of unrelated Ashkenazi and Sephardi individuals. Affected children were tested with a CSNB next-generation (NextGen) sequencing panel. A deletion of TRPM1 exons 2 through 7 was detected and confirmed by PCR and sequence analysis. A TaqMan-based assay was used to assess the frequency of this deletion in 18266 individuals of Jewish descent. High-throughput amplicon sequencing was performed on 380 samples to determine the putative deletion-flanking founder haplotype. Heterozygous TRPM1 deletions were found in 2.75% (1/36) of Ashkenazi subjects and in 1.22% (1/82) individuals of mixed Ashkenazi/Sephardic origin. The homozygous deletion frequency in our data was 0.03% (1/4025) and was only found in Ashkenazi Jewish individuals. Homozygous deletion of exons 2–7 in TRPM1 is a common cause of CSNB and myopia in many Ashkenazi Jewish patients. This deletion is a founder Ashkenazi Jewish deletion. A genetic mutation found in Ashkenazi Jewish population causes an eye disease that leads to poor vision in dim light. Yoel Hirsch and Martin M. Johansson from Dor Yeshorim, together with colleagues determined the genetic etiology of congenital stationary night blindness (CSNB) in children from six Ashkenazi families. Each affected child harbored two mutant versions of TRPM1, a gene involved in the transmission of light-elicited signals within the retina of the eye. Notably, all the children had the same large chunk of DNA missing from the gene. The researchers next screened for this genetic deletion in >18,000 individuals of Jewish descent, finding single copies of the mutation in 2.75% of Ashkenazi subjects. The findings should help doctors better diagnose CSNB and care for Jewish patients with eyesight problems.
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11
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Gladstein AL, Hammer MF. Substructured Population Growth in the Ashkenazi Jews Inferred with Approximate Bayesian Computation. Mol Biol Evol 2019; 36:1162-1171. [PMID: 30840069 DOI: 10.1093/molbev/msz047] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
The Ashkenazi Jews (AJ) are a population isolate sharing ancestry with both European and Middle Eastern populations that has likely resided in Central Europe since at least the tenth century. Between the 11th and 16th centuries, the AJ population expanded eastward leading to two culturally distinct communities in Western/Central and Eastern Europe. Our aim was to determine whether the western and eastern groups are genetically distinct, and if so, what demographic processes contributed to population differentiation. We used Approximate Bayesian Computation to choose among models of AJ history and to infer demographic parameter values, including divergence times, effective population sizes, and levels of gene flow. For the ABC analysis, we used allele frequency spectrum and identical by descent-based statistics to capture information on a wide timescale. We also mitigated the effects of ascertainment bias when performing ABC on SNP array data by jointly modeling and inferring SNP discovery. We found that the most likely model was population differentiation between Eastern and Western AJ ∼400 years ago. The differentiation between the Eastern and Western AJ could be attributed to more extreme population growth in the Eastern AJ (0.250 per generation) than the Western AJ (0.069 per generation).
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Affiliation(s)
- Ariella L Gladstein
- Department of Ecology, Evolution and Biology, University of Arizona, Tucson, AZ
| | - Michael F Hammer
- Arizona Research Laboratory Division of Biotechnology, University of Arizona, Tucson, AZ
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12
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Exome-based search for recurrent disease-causing alleles in Russian population. Eur J Med Genet 2019; 62:103656. [DOI: 10.1016/j.ejmg.2019.04.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 04/12/2019] [Accepted: 04/21/2019] [Indexed: 11/18/2022]
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13
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Autosomal recessive diseases among the Israeli Arabs. Hum Genet 2019; 138:1117-1122. [DOI: 10.1007/s00439-019-02043-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 06/20/2019] [Indexed: 10/26/2022]
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14
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Yardumian A, Schurr TG. The Geography of Jewish Ethnogenesis. JOURNAL OF ANTHROPOLOGICAL RESEARCH 2019. [DOI: 10.1086/702709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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15
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Granot-Hershkovitz E, Karasik D, Friedlander Y, Rodriguez-Murillo L, Dorajoo R, Liu J, Sewda A, Peter I, Carmi S, Hochner H. A study of Kibbutzim in Israel reveals risk factors for cardiometabolic traits and subtle population structure. Eur J Hum Genet 2018; 26:1848-1858. [PMID: 30108283 PMCID: PMC6244281 DOI: 10.1038/s41431-018-0230-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 06/24/2018] [Accepted: 07/17/2018] [Indexed: 11/09/2022] Open
Abstract
Genetic studies in isolated populations often increase power for identifying loci associated with complex diseases and traits. We present here the Kibbutzim Family Study (KFS), aimed at investigating the genetic basis of cardiometabolic traits in extended Israeli families characterized by long-term social stability and a homogeneous environment. Extensive information on cardiometabolic traits, as well as genome-wide genotypes, were collected on 901 individuals. We observed that most KFS participants were of Ashkenazi Jewish (AJ) genetic origin, confirmed a recent severe bottleneck in the AJ recent history, and detected a subtle within-AJ population structure. Focusing on genetic variants relatively common in the KFS but very rare in Europeans, we observed that AJ-enriched variants appear in cancer-related pathways more than expected by chance. We conducted an association study of the AJ-enriched variants against 16 cardiometabolic traits, and found seven loci (24 variants) to be significantly associated. The strongest association, which we also replicated in an independent study, was between a variant upstream of MSRA (frequency ≈1% in the KFS and nearly absent in Europeans) and weight (P = 3.6∙10-8). In conclusion, the KFS is a valuable resource for the study of the population genetics of Israel as well as the genetics of cardiometabolic traits.
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Affiliation(s)
| | - David Karasik
- Faculty of Medicine in the Galilee, Bar-Ilan University, Safed, Israel
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Laura Rodriguez-Murillo
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Anshuman Sewda
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Inga Peter
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Shai Carmi
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.
| | - Hagit Hochner
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.
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16
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Zlotogora J, Patrinos GP, Meiner V. Ashkenazi Jewish genomic variants: integrating data from the Israeli National Genetic Database and gnomAD. Genet Med 2017; 20:867-871. [PMID: 29144512 DOI: 10.1038/gim.2017.193] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2017] [Accepted: 10/03/2017] [Indexed: 01/07/2023] Open
Abstract
PURPOSE The aim of the study was to compare the data for mutations related to clinical disorders reported among Ashkenazi Jewish patients in the Israeli National Genetic Database (INGD) with variants included in the Genome Aggregation Database (gnomAD). METHODS We extracted data for mutations claimed to cause disorders reported among Ashkenazi Jews from the INGD and searched gnomAD for each of them. We compared the allele frequency of each variant in Ashkenazi Jews with that of other delineated populations. RESULTS Of the 58 INGD-reported mutations related to autosomal-dominant disorders, 19 were present in gnomAD (32.8%). Of the 309 mutations related to autosomal-recessive disorders, 240 (77.7%) were variants found in gnomAD. Of these variants, 202 (84.2%) were documented among one or more Ashkenazi individuals. At this point in the INGD, there are 168 Ashkenazi assumed founder mutations in 128 different genes corresponding to 111 autosomal-recessive disorders. CONCLUSION Integration of information on mutations among Ashkenazi Jews extracted from the INGD with their population frequency recorded in gnomAD is important for effective straightforward molecular diagnosis as well as for targeted carrier screening either for reproductive decision-making or for implementation of disease-modifying behavior.
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Affiliation(s)
- Joël Zlotogora
- Faculty of Medicine, Hebrew University, Jerusalem, Israel.
| | - George P Patrinos
- Department of Pharmacy, University of Patras School of Health Sciences, Patras, Greece.,Department of Bioinformatics, Faculty of Medicine and Health Sciences, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Vardiella Meiner
- Faculty of Medicine, Hebrew University, Jerusalem, Israel.,Department of Genetics and Metabolic Diseases, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
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17
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Vairo FP, Boczek NJ, Cousin MA, Kaiwar C, Blackburn PR, Conboy E, Lanpher BC, Gavrilova RH, Pichurin PN, Lazaridis KN, Babovic-Vuksanovic D, Klee EW. The prevalence of diseases caused by lysosome-related genes in a cohort of undiagnosed patients. Mol Genet Metab Rep 2017; 13:46-51. [PMID: 28831385 PMCID: PMC5554961 DOI: 10.1016/j.ymgmr.2017.08.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 08/01/2017] [Indexed: 02/08/2023] Open
Abstract
Lysosomal diseases (LD) comprise a group of approximately 60 hereditary conditions caused by progressive accumulation of metabolites due to defects in lysosomal enzymes and degradation pathways, which lead to a wide range of clinical manifestations. The estimated combined incidence of LD is between 1 in 4000 to 1 in 13,000 live births, with recent data from pilot newborn screening studies showing even higher incidence. We aimed to determine the prevalence of the classical LD and other diseases caused by lysosome-related genes in our cohort of diagnostic odyssey patients. The Individualized Medicine Clinic at Mayo Clinic is increasingly utilizing whole exome sequencing (WES) to determine the genetic etiology of undiagnosed Mendelian disease. From September 2012 to April 2017, WES results from 350 patients with unexplained symptoms were reviewed. Disease-causing variants were identified in MYO6, CLN6, LRBA, KCTD7, and ARSB revealing a genetic diagnosis of a LD in 8 individuals from 5 families. Based on our findings, lysosome-related disorders may be collectively common, reaching up to 1.5% prevalence in a cohort of patients with undiagnosed diseases presenting to a genetics clinic.
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Affiliation(s)
- Filippo Pinto Vairo
- Center for Individualized Medicine, Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Nicole J. Boczek
- Center for Individualized Medicine, Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Margot A. Cousin
- Center for Individualized Medicine, Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Charu Kaiwar
- Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Patrick R. Blackburn
- Center for Individualized Medicine, Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Erin Conboy
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | - Brendan C. Lanpher
- Center for Individualized Medicine, Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | - Ralitza H. Gavrilova
- Center for Individualized Medicine, Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Pavel N. Pichurin
- Center for Individualized Medicine, Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | - Konstantinos N. Lazaridis
- Center for Individualized Medicine, Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Dusica Babovic-Vuksanovic
- Center for Individualized Medicine, Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | - Eric W. Klee
- Center for Individualized Medicine, Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
- Department of Biomedical Informatics, Mayo Clinic, Rochester, MN, USA
- Corresponding author at: 200 First Street SW, Rochester, MN, 55905, USA.200 First Street SWRochesterMN55905USA
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18
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Xue J, Lencz T, Darvasi A, Pe’er I, Carmi S. The time and place of European admixture in Ashkenazi Jewish history. PLoS Genet 2017; 13:e1006644. [PMID: 28376121 PMCID: PMC5380316 DOI: 10.1371/journal.pgen.1006644] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Accepted: 02/18/2017] [Indexed: 12/21/2022] Open
Abstract
The Ashkenazi Jewish (AJ) population is important in genetics due to its high rate of Mendelian disorders. AJ appeared in Europe in the 10th century, and their ancestry is thought to comprise European (EU) and Middle-Eastern (ME) components. However, both the time and place of admixture are subject to debate. Here, we attempt to characterize the AJ admixture history using a careful application of new and existing methods on a large AJ sample. Our main approach was based on local ancestry inference, in which we first classified each AJ genomic segment as EU or ME, and then compared allele frequencies along the EU segments to those of different EU populations. The contribution of each EU source was also estimated using GLOBETROTTER and haplotype sharing. The time of admixture was inferred based on multiple statistics, including ME segment lengths, the total EU ancestry per chromosome, and the correlation of ancestries along the chromosome. The major source of EU ancestry in AJ was found to be Southern Europe (≈60–80% of EU ancestry), with the rest being likely Eastern European. The inferred admixture time was ≈30 generations ago, but multiple lines of evidence suggest that it represents an average over two or more events, pre- and post-dating the founder event experienced by AJ in late medieval times. The time of the pre-bottleneck admixture event, which was likely Southern European, was estimated to ≈25–50 generations ago. The Ashkenazi Jewish population has resided in Europe for much of its 1000-year existence. However, its ethnic and geographic origins are controversial, due to the scarcity of reliable historical records. Previous genetic studies have found links to Middle-Eastern and European ancestries, but the admixture history has not been studied in detail yet, partly due to technical difficulties in disentangling signals from multiple admixture events. Here, we present an in-depth analysis of the sources of European gene flow and the time of admixture events by using multiple new and existing methods and extensive simulations. Our results suggest a model of at least two events of European admixture. One event slightly pre-dated a late medieval founder event and was likely from a Southern European source. Another event post-dated the founder event and likely occurred in Eastern Europe. These results, as well as the methods introduced, will be highly valuable for geneticists and other researchers interested in Ashkenazi Jewish origins.
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Affiliation(s)
- James Xue
- Department of Computer Science, Columbia University, New York, New York, United States of America
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Todd Lencz
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York, United States of America
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of the North Shore–Long Island Jewish Health System, Glen Oaks, New York, United States of America
- Departments of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, New York, United States of America
| | - Ariel Darvasi
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Itsik Pe’er
- Department of Computer Science, Columbia University, New York, New York, United States of America
- Department of Systems Biology, Columbia University, New York, New York, United States of America
| | - Shai Carmi
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Ein Kerem, Jerusalem, Israel
- * E-mail:
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19
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Durst R, Ibe UK, Shpitzen S, Schurr D, Eliav O, Futema M, Whittall R, Szalat A, Meiner V, Knobler H, Gavish D, Henkin Y, Ellis A, Rubinstein A, Harats D, Bitzur R, Hershkovitz B, Humphries SE, Leitersdorf E. Molecular genetics of familial hypercholesterolemia in Israel–revisited. Atherosclerosis 2017; 257:55-63. [DOI: 10.1016/j.atherosclerosis.2016.12.021] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2015] [Revised: 12/10/2016] [Accepted: 12/16/2016] [Indexed: 10/20/2022]
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20
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Cunniff C, Bassetti JA, Ellis NA. Bloom's Syndrome: Clinical Spectrum, Molecular Pathogenesis, and Cancer Predisposition. Mol Syndromol 2017; 8:4-23. [PMID: 28232778 PMCID: PMC5260600 DOI: 10.1159/000452082] [Citation(s) in RCA: 160] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/22/2016] [Indexed: 01/07/2023] Open
Abstract
Bloom's syndrome is an autosomal recessive disorder characterized by prenatal and postnatal growth deficiency, photosensitive skin changes, immune deficiency, insulin resistance, and a greatly increased risk of early onset of cancer and for the development of multiple cancers. Loss-of-function mutations of BLM, which codes for a RecQ helicase, cause Bloom's syndrome. The absence of a functional BLM protein causes chromosome instability, excessive homologous recombination, and a greatly increased number of sister chromatid exchanges that are pathognomonic of the syndrome. A common founder mutation designated blmAsh is present in about 1 in 100 persons of Eastern European Jewish ancestry, and there are additional recurrent founder mutations among other populations. Missense, nonsense, and frameshift mutations as well as multiexonic deletions have all been observed. Bloom's syndrome is a prototypical chromosomal instability syndrome, and the somatic mutations that occur as a result of that instability are responsible for the increased cancer risk. Although there is currently no treatment aimed at the underlying genetic abnormality, persons with Bloom's syndrome benefit from sun protection, aggressive treatment of infections, surveillance for insulin resistance, and early identification of cancer.
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Affiliation(s)
- Christopher Cunniff
- Division of Medical Genetics, Department of Pediatrics, Weill Cornell Medical College, New York, N.Y, USA
| | - Jennifer A. Bassetti
- Division of Medical Genetics, Department of Pediatrics, Weill Cornell Medical College, New York, N.Y, USA
| | - Nathan A. Ellis
- Department of Cellular and Molecular Medicine, University of Arizona Cancer Center, Tucson, Ariz., USA
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21
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Simons YB, Sella G. The impact of recent population history on the deleterious mutation load in humans and close evolutionary relatives. Curr Opin Genet Dev 2016; 41:150-158. [PMID: 27744216 DOI: 10.1016/j.gde.2016.09.006] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 09/13/2016] [Accepted: 09/18/2016] [Indexed: 01/22/2023]
Abstract
Over the past decade, there has been both great interest and confusion about whether recent demographic events-notably the Out-of-Africa-bottleneck and recent population growth-have led to differences in mutation load among human populations. The confusion can be traced to the use of different summary statistics to measure load, which lead to apparently conflicting results. We argue, however, that when statistics more directly related to load are used, the results of different studies and data sets consistently reveal little or no difference in the load of non-synonymous mutations among human populations. Theory helps to understand why no such differences are seen, as well as to predict in what settings they are to be expected. In particular, as predicted by modeling, there is evidence for changes in the load of recessive loss of function mutations in founder and inbred human populations. Also as predicted, eastern subspecies of gorilla, Neanderthals and Denisovans, who are thought to have undergone reductions in population sizes that exceed the human Out-of-Africa bottleneck in duration and severity, show evidence for increased load of non-synonymous mutations (relative to western subspecies of gorillas and modern humans, respectively). A coherent picture is thus starting to emerge about the effects of demographic history on the mutation load in populations of humans and close evolutionary relatives.
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Affiliation(s)
- Yuval B Simons
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - Guy Sella
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA.
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22
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Sulovari A, Chen YH, Hudziak JJ, Li D. Atlas of human diseases influenced by genetic variants with extreme allele frequency differences. Hum Genet 2016; 136:39-54. [PMID: 27699474 DOI: 10.1007/s00439-016-1734-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 09/27/2016] [Indexed: 12/22/2022]
Abstract
Genetic variants with extreme allele frequency differences (EAFD) may underlie some human health disparities across populations. To identify EAFD loci, we systematically analyzed and characterized 81 million genomic variants from 2504 unrelated individuals of 26 world populations (phase III of the 1000 Genomes Project). Our analyses revealed a total of 434 genes, 15 pathways, and 18 diseases and traits influenced by EAFD variants from five continental populations. They included known EAFD genes, such as LCT (lactose tolerance), SLC24A5 (skin pigmentation), and EDAR (hair morphology). We found many novel EAFD genes, including TBC1D2B (autophagy mediator), TRIM40 (gastrointestinal inflammatory regulator), KRT71, KRT75, KRT83, and KRTAP10-1 (hair and epithelial keratin synthesis), PIK3R3 (insulin receptor interaction), DARS (neurological disorders), and NACA2 (skin inflammatory response). Our results also showed four complex diseases significantly associated with EAFD loci, including asthma (adjusted enrichment P = 4 × 10-8), type I diabetes (P = 6 × 10-9), alcohol consumption (P = 0.0002), and attention deficit/hyperactivity disorder (P = 0.003). This study provides a comprehensive atlas of genes, pathways, and human diseases significantly influenced by EAFD variants.
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Affiliation(s)
- Arvis Sulovari
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT, 05405, USA
| | - Yolanda H Chen
- Department of Plant and Soil Science, University of Vermont, Burlington, VT, 05405, USA
| | - James J Hudziak
- Vermont Center for Children, Youth, and Families, Department of Psychiatry, University of Vermont, Burlington, VT, 05405, USA
| | - Dawei Li
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT, 05405, USA. .,Department of Computer Science, University of Vermont, Burlington, VT, 05405, USA. .,Neuroscience, Behavior, and Health Initiative, University of Vermont, Burlington, VT, 05405, USA.
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A founder effect for p47phox Trp193Ter chronic granulomatous disease in Kavkazi Jews. Blood Cells Mol Dis 2015; 55:320-7. [DOI: 10.1016/j.bcmd.2015.07.014] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 07/15/2015] [Indexed: 11/21/2022]
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Edge MD, Rosenberg NA. A General Model of the Relationship between the Apportionment of Human Genetic Diversity and the Apportionment of Human Phenotypic Diversity. Hum Biol 2015; 87:313-337. [PMID: 27737590 PMCID: PMC8504698 DOI: 10.13110/humanbiology.87.4.0313] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Models that examine genetic differences between populations alongside a genotype-phenotype map can provide insight about phenotypic variation among groups. We generalize a simple model of a completely heritable, additive, selectively neutral quantitative trait to examine the relationship between single-locus genetic differentiation and phenotypic differentiation on quantitative traits. In agreement with similar efforts using different models, we show that the expected degree to which two groups differ on a neutral quantitative trait is not strongly affected by the number of genetic loci that influence the trait: neutral trait differences are expected to have a magnitude comparable to the genetic differences at a single neutral locus. We discuss this result with respect to population differences in disease phenotypes, arguing that although neutral genetic differences between populations can contribute to specific differences between populations in health outcomes, systematic patterns of difference that run in the same direction for many genetically independent health conditions are unlikely to be explained by neutral genetic differentiation.
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Affiliation(s)
- Michael D. Edge
- Department of Biology, Stanford University, Stanford, California
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25
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Yang Y, Peter I, Scott SA. Pharmacogenetics in Jewish populations. ACTA ACUST UNITED AC 2015; 29:221-33. [PMID: 24867283 DOI: 10.1515/dmdi-2013-0069] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Accepted: 04/04/2014] [Indexed: 12/24/2022]
Abstract
Spanning over 2000 years, the Jewish population has a long history of migration, population bottlenecks, expansions, and geographical isolation, which has resulted in a unique genetic architecture among the Jewish people. As such, many Mendelian disease genes and founder mutations for autosomal recessive diseases have been discovered in several Jewish groups, which have prompted recent genomic studies in the Jewish population on common disease susceptibility and other complex traits. Although few studies on the genetic determinants of drug response variability have been reported in the Jewish population, a number of unique pharmacogenetic variants have been discovered that are more common in Jewish populations than in other major racial groups. Notable examples identified in the Ashkenazi Jewish (AJ) population include the vitamin K epoxide reductase complex subunit 1 (VKORC1) c.106G>T (p.D36Y) variant associated with high warfarin dosing requirements and the recently reported cytochrome P450 2C19 (CYP2C19) allele, CYP2C19*4B, that harbors both loss-of-function [*4 (c.1A>G)] and increased-function [*17 (c.-806C>T)] variants on the same haplotype. These data are encouraging in that like other ethnicities and subpopulations, the Jewish population likely harbors numerous pharmacogenetic variants that are uncommon or absent in other larger racial groups and ethnicities. In addition to unique variants, common multi-ethnic variants in key drug metabolism genes (e.g., ABCB1, CYP2C8, CYP2C9, CYP2C19, CYP2D6, NAT2) have also been detected in the AJ and other Jewish groups. This review aims to summarize the currently available pharmacogenetics literature and discuss future directions for related research with this unique population.
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Holtkamp KCA, van Maarle MC, Schouten MJE, Dondorp WJ, Lakeman P, Henneman L. Do people from the Jewish community prefer ancestry-based or pan-ethnic expanded carrier screening? Eur J Hum Genet 2015; 24:171-7. [PMID: 25966636 PMCID: PMC4717216 DOI: 10.1038/ejhg.2015.97] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Revised: 04/02/2015] [Accepted: 04/14/2015] [Indexed: 01/08/2023] Open
Abstract
Ancestry-based carrier screening in the Ashkenazi Jewish population entails screening for specific autosomal recessive founder mutations, which are rarer among the general population. As it is now technically feasible to screen for many more diseases, the question arises whether this population prefers a limited ancestry-based offer or a pan-ethnic expanded carrier screening panel that goes beyond the diseases that are frequent in their own population, and is offered regardless of ancestry. An online questionnaire was completed by 145 individuals from the Dutch Jewish community (≥18 years) between April and July 2014. In total, 64.8% were aware of the existence of ancestry-based carrier screening, and respondents were generally positive about screening. About half (53.8%) preferred pan-ethnic expanded carrier screening, whereas 42.8% preferred ancestry-based screening. Reasons for preferring pan-ethnic screening included ‘everyone has a right to be tested', ‘fear of stigmatization when offering ancestry-based panels', and ‘difficulties with identifying risk owing to mixed backgrounds'. ‘Preventing high healthcare costs' was the most important reason against pan-ethnic carrier screening among those in favor of an ancestry-based panel. In conclusion, these findings show that people from the Dutch Jewish community have a positive attitude regarding carrier screening in their community for a wide range of diseases. As costs of expanded carrier screening panels are most likely to drop in the near future, it is expected that these panels will receive more support in the future.
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Affiliation(s)
- Kim C A Holtkamp
- Department of Clinical Genetics, Section of Community Genetics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Merel C van Maarle
- Department of Clinical Genetics, Academic Medical Center, Amsterdam, The Netherlands
| | - Maria J E Schouten
- Department of Clinical Genetics, Section of Community Genetics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Wybo J Dondorp
- Department of Health, Ethics and Society, Research Institutes CAPHRI and GROW, Maastricht University, Maastricht, The Netherlands
| | - Phillis Lakeman
- Department of Clinical Genetics, Academic Medical Center, Amsterdam, The Netherlands
| | - Lidewij Henneman
- Department of Clinical Genetics, Section of Community Genetics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
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27
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Nævdal E. Optimal screening for genetic diseases. ECONOMICS AND HUMAN BIOLOGY 2014; 15:129-139. [PMID: 25203815 DOI: 10.1016/j.ehb.2014.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2014] [Revised: 08/13/2014] [Accepted: 08/13/2014] [Indexed: 06/03/2023]
Abstract
Screening for genetic diseases is performed in many regions and/or ethnic groups where there is a high prevalence of possibly malign genes. The propagation of such genes can be considered a dynamic externality. Given that many of these diseases are untreatable and give rise to truly tragic outcomes, they are a source of societal concern, and the screening process should perhaps be regulated. This paper incorporates a standard model of genetic propagation into an economic model of dynamic management to derive cost benefit rules for optimal screening. The highly non-linear nature of genetic dynamics gives rise to perhaps surprising results that include discontinuous controls and threshold effects. One insight is that any screening program that is in place for any amount of time should screen all individuals in a target population. The incorporation of genetic models may prove to be useful to several emerging fields in economics such as genoeconomics, neuroeconomics and paleoeconomics.
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Affiliation(s)
- Eric Nævdal
- The Ragnar Frisch Centre for Economic Research, University of Oslo, Gaustadalléen 21, N-0349 Oslo, Norway.
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28
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Melhem NM, Lu C, Dresbold C, Middleton FA, Klei L, Wood S, Faraone SV, Vinogradov S, Tiobech J, Yano V, Roeder K, Byerley W, Myles-Worsley M, Devlin B. Characterizing runs of homozygosity and their impact on risk for psychosis in a population isolate. Am J Med Genet B Neuropsychiatr Genet 2014; 165B:521-30. [PMID: 24980794 PMCID: PMC5058445 DOI: 10.1002/ajmg.b.32255] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2014] [Accepted: 06/04/2014] [Indexed: 11/12/2022]
Abstract
An increased abundance of runs of homozygosity (ROH) has been associated with risk for various diseases, including schizophrenia. Here we investigate the characteristics of ROH in Palau, an Oceanic population, evaluating whether these characteristics are related to risk for psychotic disorders and the nature of this association. To accomplish these aims we evaluate a sample of 203 cases with schizophrenia and related psychotic disorders-representing almost complete ascertainment of affected individuals in the population-and contrast their ROH to that of 125 subjects chosen to function as controls. While Palauan diagnosed with psychotic disorders tend to have slightly more ROH regions than controls, the distinguishing features are that they have longer ROH regions, greater total length of ROH, and their ROH tends to co-occur more often at the same locus. The nature of the sample allows us to investigate whether rare, highly penetrant recessive variants generate such case-control differences in ROH. Neither rare, highly penetrant recessive variants nor individual common variants of large effect account for a substantial proportion of risk for psychosis in Palau. These results suggest a more nuanced model for risk is required to explain patterns of ROH for this population.
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Affiliation(s)
- Nadine M. Melhem
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Cong Lu
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA
| | - Cara Dresbold
- Department of Human Genetics, University of Pittsburgh
| | | | | | - Shawn Wood
- University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Stephen V Faraone
- Department of Psychiatry, SUNY Upstate Medical University; Syracuse NY
| | | | | | - Victor Yano
- Palauan Ministry of Health, Republic of Palau
| | - Kathryn Roeder
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA
| | - William Byerley
- Department of Psychiatry, University of California San Francisco
| | | | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
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Prenatal Diagnosis of Lysosomal Storage Disorders by Enzymes Study Using Chorionic Villus and Amniotic Fluid. JOURNAL OF FETAL MEDICINE 2014. [DOI: 10.1007/s40556-014-0001-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Abstract
Bloom Syndrome (BS, MIM #210900) is an autosomal recessive genetic disorder caused by a mutation in the BLM gene, which codes for the DNA repair enzyme RecQL3 helicase. Without proper DNA repair mechanisms, abnormal DNA exchange takes place between sister chromatids and results in genetic instability that may lead to cancer, especially lymphoma and acute myelogenous leukemia, lower and upper gastrointestinal tract neoplasias, cutaneous tumors, and neoplasias in the genitalia and urinary tract. BS patients are usually of Ashkenazi Jewish descent and exhibit narrow facial features, elongated limbs, and several dermatologic complications including photosensitivity, poikiloderma, and telangiectatic erythema. The most concerning manifestation of BS is multiple malignancies, which require frequent screenings and strict vigilance by the physician. Therefore, distinguishing between BS and other dermatologic syndromes of similar presentation such as Rothmund-Thomson Syndrome, Erythropoietic Protoporphyria, and Cockayne Syndrome is paramount to disease management and to prolonging life. BS can be diagnosed through a variety of DNA sequencing methods, and genetic testing is available for high-risk populations. This review consolidates several sources on BS sequelae and aims to suggest the importance of differentiating BS from other dermatologic conditions. This paper also elucidates the recently discovered BRAFT and FANCM protein complexes that link BS and Fanconi anemia.
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Affiliation(s)
- Harleen Arora
- Department of Dermatology and Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
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Luo M, Liu L, Peter I, Zhu J, Scott SA, Zhao G, Eversley C, Kornreich R, Desnick RJ, Edelmann L. An Ashkenazi Jewish SMN1 haplotype specific to duplication alleles improves pan-ethnic carrier screening for spinal muscular atrophy. Genet Med 2013; 16:149-56. [PMID: 23788250 DOI: 10.1038/gim.2013.84] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2013] [Accepted: 05/02/2013] [Indexed: 11/09/2022] Open
Abstract
PURPOSE Spinal muscular atrophy is a common autosomal-recessive disorder caused by mutations of the SMN1 gene. Spinal muscular atrophy carrier screening uses dosage-sensitive methods that determine SMN1 copy number, and the frequency of carriers varies by ethnicity, with detection rates ranging from 71 to 94% due to the inability to identify silent (2 + 0) carriers with two copies of SMN1 on one chromosome 5 and deletion on the other. We hypothesized that identification of deletion and/or duplication founder alleles might provide an approach to identify silent carriers in various ethnic groups. METHODS SMN1 founder alleles were investigated in the Ashkenazi Jewish population by microsatellite analysis and next-generation sequencing. RESULTS An extended haplotype block, specific to Ashkenazi Jewish SMN1 duplications, was identified by microsatellite analysis, and next-generation sequencing of SMN1 further defined a more localized haplotype. Of note, six novel SMN1 sequence variants were identified that were specific to duplications and not present on single-copy alleles. The haplotype was also identified on SMN1 duplication alleles in additional ethnic groups. CONCLUSION Identification of these novel variants in an individual with two copies of SMN1 significantly improves the accuracy of residual risk estimates and has important implications for spinal muscular atrophy carrier screening.
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Affiliation(s)
- Minjie Luo
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine of New York University, New York, New York, USA
| | - Liu Liu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Inga Peter
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine of New York University, New York, New York, USA
| | - Jun Zhu
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine of New York University, New York, New York, USA
| | - Stuart A Scott
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine of New York University, New York, New York, USA
| | - Geping Zhao
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine of New York University, New York, New York, USA
| | | | - Ruth Kornreich
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine of New York University, New York, New York, USA
| | - Robert J Desnick
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine of New York University, New York, New York, USA
| | - Lisa Edelmann
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine of New York University, New York, New York, USA
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High mammographic density in women of Ashkenazi Jewish descent. Breast Cancer Res 2013; 15:R40. [PMID: 23668689 PMCID: PMC4053164 DOI: 10.1186/bcr3424] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2012] [Accepted: 05/13/2013] [Indexed: 11/21/2022] Open
Abstract
Introduction Percent mammographic density (PMD) adjusted for age and body mass index is one of the strongest risk factors for breast cancer and is known to be approximately 60% heritable. Here we report a finding of an association between genetic ancestry and adjusted PMD. Methods We selected self-identified Caucasian women in the California Pacific Medical Center Research Institute Cohort whose screening mammograms placed them in the top or bottom quintiles of age-adjusted and body mass index-adjusted PMD. Our final dataset included 474 women with the highest adjusted PMD and 469 with the lowest genotyped on the Illumina 1 M platform. Principal component analysis (PCA) and identity-by-descent analyses allowed us to infer the women's genetic ancestry and correlate it with adjusted PMD. Results Women of Ashkenazi Jewish ancestry, as defined by the first principal component of PCA and identity-by-descent analyses, represented approximately 15% of the sample. Ashkenazi Jewish ancestry, defined by the first principal component of PCA, was associated with higher adjusted PMD (P = 0.004). Using multivariate regression to adjust for epidemiologic factors associated with PMD, including age at parity and use of postmenopausal hormone therapy, did not attenuate the association. Conclusions Women of Ashkenazi Jewish ancestry, based on genetic analysis, are more likely to have high age-adjusted and body mass index-adjusted PMD. Ashkenazi Jews may have a unique set of genetic variants or environmental risk factors that increase mammographic density.
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Asymptotic distributions of coalescence times and ancestral lineage numbers for populations with temporally varying size. Genetics 2013; 194:721-36. [PMID: 23666939 DOI: 10.1534/genetics.113.151522] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The distributions of coalescence times and ancestral lineage numbers play an essential role in coalescent modeling and ancestral inference. Both exact distributions of coalescence times and ancestral lineage numbers are expressed as the sum of alternating series, and the terms in the series become numerically intractable for large samples. More computationally attractive are their asymptotic distributions, which were derived in Griffiths (1984) for populations with constant size. In this article, we derive the asymptotic distributions of coalescence times and ancestral lineage numbers for populations with temporally varying size. For a sample of size n, denote by Tm the mth coalescent time, when m + 1 lineages coalesce into m lineages, and An(t) the number of ancestral lineages at time t back from the current generation. Similar to the results in Griffiths (1984), the number of ancestral lineages, An(t), and the coalescence times, Tm, are asymptotically normal, with the mean and variance of these distributions depending on the population size function, N(t). At the very early stage of the coalescent, when t → 0, the number of coalesced lineages n - An(t) follows a Poisson distribution, and as m → n, $$n\left(n-1\right){T}_{m}/2N\left(0\right)$$ follows a gamma distribution. We demonstrate the accuracy of the asymptotic approximations by comparing to both exact distributions and coalescent simulations. Several applications of the theoretical results are also shown: deriving statistics related to the properties of gene genealogies, such as the time to the most recent common ancestor (TMRCA) and the total branch length (TBL) of the genealogy, and deriving the allele frequency spectrum for large genealogies. With the advent of genomic-level sequencing data for large samples, the asymptotic distributions are expected to have wide applications in theoretical and methodological development for population genetic inference.
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The KCNJ8-S422L variant previously associated with J-wave syndromes is found at an increased frequency in Ashkenazi Jews. Eur J Hum Genet 2013; 22:94-8. [PMID: 23632791 DOI: 10.1038/ejhg.2013.78] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2012] [Revised: 01/11/2013] [Accepted: 03/27/2013] [Indexed: 02/03/2023] Open
Abstract
J-wave syndromes have been associated with increased risk of ventricular fibrillation and sudden cardiac death. Previous studies have identified the KCNJ8-S422L variant in heterozygous form in individuals with J-wave syndromes. Its absence in over 1500 controls, coupled with in vitro analysis, have led to the conclusion that S422L is pathogenic. We previously performed whole-genome sequencing in a family quartet of Ashkenazi Jewish decent with no history of J-wave syndrome. Re-examination of these data reveals that both parents are heterozygous for the S422L variant, while the 12-year old son carries two copies--thus representing the first reported case of a S422L homozygote. In order to examine whether the S422L mutation might segregate at appreciable frequencies in specific populations, we genotyped the variant in a panel consisting of 722 individuals from 22 European, Middle Eastern non-Jewish, Ashkenazi Jewish, and non-Ashkenazi Jewish populations. We found that the S422L allele was at a significantly higher frequency in Ashkenazi Jews (~4%) compared with other populations in our survey, which have frequencies <0.25%. We also performed ECGs in both male members of the family quartet. The homozygous boy demonstrated no clinically significant ECG abnormalities, while the heterozygous father presented with a subtle J-wave point elevation. Our results suggest that either (a) previous studies implicating S422L as pathogenic for J-wave syndromes failed to appropriately account for European population structure and the variant is likely benign, or (b) Ashkenazi Jews may be at significantly increased risk of J-wave syndromes and ultimately sudden cardiac death.
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Peretz H, Salomon O, Mor-Cohen R, Usher S, Zucker M, Zivelin A, Seligsohn U. Type I mutation in the F11 gene is a third ancestral mutation which causes factor XI deficiency in Ashkenazi Jews. J Thromb Haemost 2013; 11:724-30. [PMID: 23332144 DOI: 10.1111/jth.12137] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2012] [Accepted: 01/09/2013] [Indexed: 12/21/2022]
Abstract
BACKGROUND Factor XI (FXI) deficiency is one of the most frequent inherited disorders in Ashkenazi Jews (AJ). Two predominant founder mutations termed type II (p.Glu117Stop) and type III (p.Phe283Leu) account for most cases. OBJECTIVES To present clinical aspects of a third FXI mutation, type I (c.1716 + 1G>A), which is also prevalent in AJ and to discern a possible founder effect. METHODS Bleeding manifestations, FXI levels and origin of members of 13 unrelated families harboring the type I mutation were determined. In addition, eight intragenic and five extragenic polymorphisms were analyzed in patients with a type I mutation, in 16 unrelated type II homozygotes, in 23 unrelated type III homozygotes and in Ashkenazi Jewish controls. Analysis of these polymorphisms enabled haplotype analysis and estimation of the age of the type I mutation. RESULTS Four of 16 type I heterozygotes (25%) and 6 of 12 (50%) compound heterozygotes for type I mutation (I/II and I/III), or a type I homozygote had bleeding manifestations. Haplotype analysis disclosed that like type II and type III mutations, the type I is also an ancestral mutation. An age estimate revealed that the type I mutation occurred approximately 600 years ago. The geographic distribution of affected families suggested that there was a distinct origin of the type I mutation in Eastern Europe. CONCLUSIONS The rather rare type I mutation in the FXI gene is a third founder mutation in AJ.
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Affiliation(s)
- H Peretz
- Clinical Biochemistry Laboratory, Sourasky Medical Center, Tel Aviv, Israel.
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36
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Chen H. Intercoalescence Time Distribution of Incomplete Gene Genealogies in Temporally Varying Populations, and Applications in Population Genetic Inference. Ann Hum Genet 2013; 77:158-73. [DOI: 10.1111/ahg.12007] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2012] [Accepted: 10/13/2012] [Indexed: 01/15/2023]
Affiliation(s)
- Hua Chen
- Department of Epidemiology; Harvard School of Public Health; Boston; MA
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Abstract
Adherents to the Jewish faith have resided in numerous geographic locations over the course of three millennia. Progressively more detailed population genetic analysis carried out independently by multiple research groups over the past two decades has revealed a pattern for the population genetic architecture of contemporary Jews descendant from globally dispersed Diaspora communities. This pattern is consistent with a major, but variable component of shared Near East ancestry, together with variable degrees of admixture and introgression from the corresponding host Diaspora populations. By combining analysis of monoallelic markers with recent genome-wide variation analysis of simple tandem repeats, copy number variations, and single-nucleotide polymorphisms at high density, it has been possible to determine the relative contribution of sex-specific migration and introgression to map founder events and to suggest demographic histories corresponding to western and eastern Diaspora migrations, as well as subsequent microevolutionary events. These patterns have been congruous with the inferences of many, but not of all historians using more traditional tools such as archeology, archival records, linguistics, comparative analysis of religious narrative, liturgy and practices. Importantly, the population genetic architecture of Jews helps to explain the observed patterns of health and disease-relevant mutations and phenotypes which continue to be carefully studied and catalogued, and represent an important resource for human medical genetics research. The current review attempts to provide a succinct update of the more recent developments in a historical and human health context.
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Chong JX, Ouwenga R, Anderson RL, Waggoner DJ, Ober C. A population-based study of autosomal-recessive disease-causing mutations in a founder population. Am J Hum Genet 2012; 91:608-20. [PMID: 22981120 DOI: 10.1016/j.ajhg.2012.08.007] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2012] [Revised: 06/12/2012] [Accepted: 08/09/2012] [Indexed: 01/18/2023] Open
Abstract
The decreasing cost of whole-genome and whole-exome sequencing has resulted in a renaissance for identifying Mendelian disease mutations, and for the first time it is possible to survey the distribution and characteristics of these mutations in large population samples. We conducted carrier screening for all autosomal-recessive (AR) mutations known to be present in members of a founder population and revealed surprisingly high carrier frequencies for many of these mutations. By utilizing the rich demographic, genetic, and phenotypic data available on these subjects and simulations in the exact pedigree that these individuals belong to, we show that the majority of mutations were most likely introduced into the population by a single founder and then drifted to the high carrier frequencies observed. We further show that although there is an increased incidence of AR diseases overall, the mean carrier burden is likely to be lower in the Hutterites than in the general population. Finally, on the basis of simulations, we predict the presence of 30 or more undiscovered recessive mutations among these subjects, and this would at least double the number of AR diseases that have been reported in this isolated population.
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Affiliation(s)
- Jessica X Chong
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
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Dillenburg CV, Bandeira IC, Tubino TV, Rossato LG, Dias ES, Bittelbrunn AC, Leistner-Segal S. Prevalence of 185delAG and 5382insC mutations in BRCA1, and 6174delT in BRCA2 in women of Ashkenazi Jewish origin in southern Brazil. Genet Mol Biol 2012; 35:599-602. [PMID: 23055798 PMCID: PMC3459409 DOI: 10.1590/s1415-47572012000400009] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2012] [Accepted: 06/01/2012] [Indexed: 01/28/2023] Open
Abstract
Certain mutations in BRCA1 and BRCA2 genes are frequent in the Ashkenazi Jewish population. Several factors contribute to this increased frequency, including consanguineous marriages and an event known as a "bottleneck", which occurred in the past and caused a drastic reduction in the genetic variability of this population. Several studies were performed over the years in an attempt to elucidate the role of BRCA1 and BRCA2 genes in susceptibility to breast cancer. The aim of this study was to estimate the carrier frequency of certain common mutations in the BRCA1 (185delAG and 5382insC) and BRCA2 (6174delT) genes in an Ashkenazi Jewish population from Porto Alegre, Brazil. Molecular analyses were done by PCR followed by RFLP (ACRS). The carrier frequencies for BRCA1 185delAG and 5382insC were 0.78 and 0 respectively, and 0.4 for the BRCA2 6174deT mutation. These findings are similar to those of some prior studies but differ from others, possibly due to excluding individuals with a personal or family history of cancer. Our sample was drawn from the community group and included individuals with or without a family or personal history of cancer. Furthermore, increased dispersion among Ashkenazi subpopulations may be the result of strong genetic drift and/or admixture. It is therefore necessary to consider the effects of local admixture on the mismatch distributions of various Jewish populations.
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Affiliation(s)
- Crisle Vignol Dillenburg
- Banco de DNA/Tecido de Mama e Ovário, Centro de Pesquisas Experimentais, Hospital de Clínicas de Porto Alegre, RS, Brazil
| | - Isabel Cristina Bandeira
- Banco de DNA/Tecido de Mama e Ovário, Centro de Pesquisas Experimentais, Hospital de Clínicas de Porto Alegre, RS, Brazil
| | - Taiana Valente Tubino
- Banco de DNA/Tecido de Mama e Ovário, Centro de Pesquisas Experimentais, Hospital de Clínicas de Porto Alegre, RS, Brazil
| | - Luciana Grazziotin Rossato
- Banco de DNA/Tecido de Mama e Ovário, Centro de Pesquisas Experimentais, Hospital de Clínicas de Porto Alegre, RS, Brazil
| | | | | | - Sandra Leistner-Segal
- Banco de DNA/Tecido de Mama e Ovário, Centro de Pesquisas Experimentais, Hospital de Clínicas de Porto Alegre, RS, Brazil
- Laboratório de Genética Molecular, Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, RS, Brazil
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Mozersky J. Who's to blame? Accounts of genetic responsibility and blame among Ashkenazi Jewish women at risk of BRCA breast cancer. SOCIOLOGY OF HEALTH & ILLNESS 2012; 34:776-790. [PMID: 22257279 DOI: 10.1111/j.1467-9566.2011.01427.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Genetic knowledge of disease risk may induce a sense of genetic responsibility whereby those who are at risk feel an obligation to take certain actions not only in relation to their own personal health but also to their family, their children and many other aspects of their life. This article examines genetic responsibility among Ashkenazi Jewish women at increased risk of BRCA genetic breast cancer. It demonstrates the ways in which accounts of blame help to mitigate or allocate genetic responsibility and in particular focuses on the temporal nature of women's accounts. Women locate responsibility or blame for genetic disease in the collective reproductive history of Ashkenazi Jews, currently among specific groups of Ashkenazi Jews, and this knowledge can have potential future reproductive consequences. A contradiction may arise between a pre-existing sense of responsibility to produce future generations of Jews with that of producing future breast cancer free children. The research is based on in-depth qualitative interviews with 14 high-risk Ashkenazi Jewish women in London, England.
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Abstract
The central preoccupation of human genetics is an effort to understand the genotypic basis of human phenotypic diversity. Although recent progress in identifying the genes that, when mutated, underlie major genetic diseases has been rapid, knowledge of the genetic influences on the vast range of variable, and at least partially heritable, traits that constitute the "normal" range of human phenotypic variation lags. Spectacular advances in our knowledge of human genetic variation have laid the groundwork for a synthesis of insights from medical genetics, population genetics, molecular evolution, and the study of human origins that places basic constraints on models of human genetic individuality. Balancing selection, local adaptation, mutation-selection balance, and founder effects have all extensively shaped contemporary genetic variation. Long-term-balancing selection appears largely to reflect the consequences of host-pathogen arms races. Local adaptation has been widespread-and involved responses to a plethora of selective pressures, some identifiable but most unknown. However, it appears to be a combination of mutation-selection balance and founder effects that largely accounts for genetic individuality. If true, this inference has major implications for future research programs in human genetics.
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Affiliation(s)
- Maynard V Olson
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA.
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Abstract
Evolution has long provided a foundation for population genetics, but some major advances in evolutionary biology from the twentieth century that provide foundations for evolutionary medicine are only now being applied in molecular medicine. They include the need for both proximate and evolutionary explanations, kin selection, evolutionary models for cooperation, competition between alleles, co-evolution, and new strategies for tracing phylogenies and identifying signals of selection. Recent advances in genomics are transforming evolutionary biology in ways that create even more opportunities for progress at its interfaces with genetics, medicine, and public health. This article reviews 15 evolutionary principles and their applications in molecular medicine in hopes that readers will use them and related principles to speed the development of evolutionary molecular medicine.
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Kenny EE, Pe'er I, Karban A, Ozelius L, Mitchell AA, Ng SM, Erazo M, Ostrer H, Abraham C, Abreu MT, Atzmon G, Barzilai N, Brant SR, Bressman S, Burns ER, Chowers Y, Clark LN, Darvasi A, Doheny D, Duerr RH, Eliakim R, Giladi N, Gregersen PK, Hakonarson H, Jones MR, Marder K, McGovern DPB, Mulle J, Orr-Urtreger A, Proctor DD, Pulver A, Rotter JI, Silverberg MS, Ullman T, Warren ST, Waterman M, Zhang W, Bergman A, Mayer L, Katz S, Desnick RJ, Cho JH, Peter I. A genome-wide scan of Ashkenazi Jewish Crohn's disease suggests novel susceptibility loci. PLoS Genet 2012; 8:e1002559. [PMID: 22412388 PMCID: PMC3297573 DOI: 10.1371/journal.pgen.1002559] [Citation(s) in RCA: 126] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2011] [Accepted: 01/12/2012] [Indexed: 12/19/2022] Open
Abstract
Crohn's disease (CD) is a complex disorder resulting from the interaction of intestinal microbiota with the host immune system in genetically susceptible individuals. The largest meta-analysis of genome-wide association to date identified 71 CD-susceptibility loci in individuals of European ancestry. An important epidemiological feature of CD is that it is 2-4 times more prevalent among individuals of Ashkenazi Jewish (AJ) descent compared to non-Jewish Europeans (NJ). To explore genetic variation associated with CD in AJs, we conducted a genome-wide association study (GWAS) by combining raw genotype data across 10 AJ cohorts consisting of 907 cases and 2,345 controls in the discovery stage, followed up by a replication study in 971 cases and 2,124 controls. We confirmed genome-wide significant associations of 9 known CD loci in AJs and replicated 3 additional loci with strong signal (p<5×10⁻⁶). Novel signals detected among AJs were mapped to chromosomes 5q21.1 (rs7705924, combined p = 2×10⁻⁸; combined odds ratio OR = 1.48), 2p15 (rs6545946, p = 7×10⁻⁹; OR = 1.16), 8q21.11 (rs12677663, p = 2×10⁻⁸; OR = 1.15), 10q26.3 (rs10734105, p = 3×10⁻⁸; OR = 1.27), and 11q12.1 (rs11229030, p = 8×10⁻⁹; OR = 1.15), implicating biologically plausible candidate genes, including RPL7, CPAMD8, PRG2, and PRG3. In all, the 16 replicated and newly discovered loci, in addition to the three coding NOD2 variants, accounted for 11.2% of the total genetic variance for CD risk in the AJ population. This study demonstrates the complementary value of genetic studies in the Ashkenazim.
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Affiliation(s)
- Eimear E. Kenny
- Department of Computer Sciences, Columbia University, New York, New York, United States of America
| | - Itsik Pe'er
- Department of Computer Sciences, Columbia University, New York, New York, United States of America
| | - Amir Karban
- Department of Gastroenterology, Rambam Health Care Campus, B. Rappaport Institute for Research in the Medical Sciences, Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Laurie Ozelius
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Adele A. Mitchell
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Sok Meng Ng
- Department of Medicine, Section of Digestive Diseases, Yale University, New Haven, Connecticut, United States of America
| | - Monica Erazo
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Harry Ostrer
- Department of Pathology, Albert Einstein College of Medicine, New York, New York, United States of America
| | - Clara Abraham
- Department of Medicine, Section of Digestive Diseases, Yale University, New Haven, Connecticut, United States of America
| | - Maria T. Abreu
- Division of Gastroenterology, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Gil Atzmon
- Genetic Core for Longevity, Institute for Aging Research and the Diabetes Research Center, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Nir Barzilai
- Genetic Core for Longevity, Institute for Aging Research and the Diabetes Research Center, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Steven R. Brant
- Meyerhoff Inflammatory Bowel Disease Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Susan Bressman
- Mirken Department of Neurology, Beth Israel Medical Center, New York, New York, United States of America
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Edward R. Burns
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Yehuda Chowers
- Department of Gastroenterology, Rambam Health Care Campus, B. Rappaport Institute for Research in the Medical Sciences, Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Lorraine N. Clark
- Department of Pathology and Cell Biology, Columbia University, New York, New York, United States of America
| | - Ariel Darvasi
- The Institute of Life Sciences, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dana Doheny
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Richard H. Duerr
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Rami Eliakim
- Department of Gastroenterology and Hepatology, Sheba Medical Center, Raman Gan, Israel
| | - Nir Giladi
- Department of Neurology, Tel Aviv Sourasky Medical Center, Sackler School of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Peter K. Gregersen
- Robert S. Boas Center for Genomics and Human Genetics, Feinstein Institute for Medical Research, North Shore LIJ Health System, Manhasset, New York, United States of America
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Michelle R. Jones
- Division of Endocrinology, Diabetes, and Metabolism, Graduate Program in Biomedical Sciences and Translational Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Karen Marder
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
| | - Dermot P. B. McGovern
- Department of Translational Medicine, Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Jennifer Mulle
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Avi Orr-Urtreger
- Genetic Institute, Tel Aviv Sourasky Medical Center, Sackler School of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Deborah D. Proctor
- Department of Medicine, Section of Digestive Diseases, Yale University, New Haven, Connecticut, United States of America
| | - Ann Pulver
- Epidemiology-Genetics Program in Schizophrenia, Bipolar Disorders, and Related Disorders, Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | | | - Thomas Ullman
- Division of Gastroenterology, Department of Medicine, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Stephen T. Warren
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, United States of America
- Departments of Biochemistry and Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Matti Waterman
- Department of Gastroenterology, Rambam Health Care Campus, B. Rappaport Institute for Research in the Medical Sciences, Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Wei Zhang
- Department of Medicine, Section of Digestive Diseases, Yale University, New Haven, Connecticut, United States of America
| | - Aviv Bergman
- Department of Systems and Computational Biology, Albert Einstein College of Medicine, New York, New York, United States of America
| | - Lloyd Mayer
- Division of Gastroenterology, Department of Medicine, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Seymour Katz
- Albert Einstein College of Medicine, North Shore University Hospital-Long Island Jewish Hospital Systems, St. Francis Hospital, Great Neck, New York, United States of America
| | - Robert J. Desnick
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Judy H. Cho
- Department of Medicine, Section of Digestive Diseases, Yale University, New Haven, Connecticut, United States of America
- * E-mail: (JH Cho) (JC); (I Peter) (IP)
| | - Inga Peter
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
- * E-mail: (JH Cho) (JC); (I Peter) (IP)
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Garrod's fourth inborn error of metabolism solved by the identification of mutations causing pentosuria. Proc Natl Acad Sci U S A 2011; 108:18313-7. [PMID: 22042873 DOI: 10.1073/pnas.1115888108] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Pentosuria is one of four conditions hypothesized by Archibald Garrod in 1908 to be inborn errors of metabolism. Mutations responsible for the other three conditions (albinism, alkaptonuria, and cystinuria) have been identified, but the mutations responsible for pentosuria remained unknown. Pentosuria, which affects almost exclusively individuals of Ashkenazi Jewish ancestry, is characterized by high levels of the pentose sugar L-xylulose in blood and urine and deficiency of the enzyme L-xylulose reductase. The condition is autosomal-recessive and completely clinically benign, but in the early and mid-20th century attracted attention because it was often confused with diabetes mellitus and inappropriately treated with insulin. Persons with pentosuria were identified from records of Margaret Lasker, who studied the condition in the 1930s to 1960s. In the DCXR gene encoding L-xylulose reductase, we identified two mutations, DCXR c.583ΔC and DCXR c.52(+1)G > A, each predicted to lead to loss of enzyme activity. Of nine unrelated living pentosuric subjects, six were homozygous for DCXR c.583ΔC, one was homozygous for DCXR c.52(+1)G > A, and two were compound heterozygous for the two mutant alleles. L-xylulose reductase was not detectable in protein lysates from subjects' cells and high levels of xylulose were detected in their sera, confirming the relationship between the DCXR genotypes and the pentosuric phenotype. The combined frequency of the two mutant DCXR alleles in 1,067 Ashkenazi Jewish controls was 0.0173, suggesting a pentosuria frequency of approximately one in 3,300 in this population. Haplotype analysis indicated that the DCXR c.52(+1)G > A mutation arose more recently than the DCXR c.583ΔC mutation.
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Gusev A, Palamara PF, Aponte G, Zhuang Z, Darvasi A, Gregersen P, Pe'er I. The architecture of long-range haplotypes shared within and across populations. Mol Biol Evol 2011; 29:473-86. [PMID: 21984068 DOI: 10.1093/molbev/msr133] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Homologous long segments along the genomes of close or remote relatives that are identical by descent (IBD) from a common ancestor provide clues for recent events in human genetics. We set out to extensively map such IBD segments in large cohorts and investigate their distribution within and across different populations. We report analysis of several data sets, demonstrating that IBD is more common than expected by naïve models of population genetics. We show that the frequency of IBD pairs is population dependent and can be used to cluster individuals into populations, detect a homogeneous subpopulation within a larger cohort, and infer bottleneck events in such a subpopulation. Specifically, we show that Ashkenazi Jewish individuals are all connected through transitive remote family ties evident by sharing of 50 cM IBD to a publicly available data set of less than 400 individuals. We further expose regions where long-range haplotypes are shared significantly more often than elsewhere in the genome, observed across multiple populations, and enriched for common long structural variation. These are inconsistent with recent relatedness and suggest ancient common ancestry, with limited recombination between haplotypes.
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Affiliation(s)
- Alexander Gusev
- Department of Computer Science, Columbia University, New York, New York, USA
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Tay-Sachs disease preconception screening in Australia: self-knowledge of being an Ashkenazi Jew predicts carrier state better than does ancestral origin, although there is an increased risk for c.1421 + 1G > C mutation in individuals with South African heritage. J Community Genet 2011; 2:201-9. [PMID: 22109873 DOI: 10.1007/s12687-011-0057-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2011] [Accepted: 06/30/2011] [Indexed: 10/18/2022] Open
Abstract
The Australasian Community Genetics Program provided a preconception screening for Tay-Sachs disease (TSD) to 4,105 Jewish high school students in Sydney and Melbourne over the 12-year period 1995-2007. By correlating the frequencies of mutant HEXA, MIM *606869 (gene map locus 15q23-q24) alleles with subjects' nominated ethnicity (Ashkenazi/Sephardi/Mixed) and grandparental birthplaces, we established that Ashkenazi ethnicity is a better predictor of TSD carrier status than grandparental ancestral origins. Screening self-identified Ashkenazi subjects detected 95% of TSD carriers (carrier frequency 1:25). Having mixed Ashkenazi and non-Ashkenazi heritage reduced the carrier frequency (1:97). South African heritage conveyed a fourfold risk of c.1421 + 1G > C mutation compared with other AJ subjects (odds ratio (OR), 4.19; 95% confidence interval (CI), 1.83-9.62, p = 0.001), but this was the only specific case of ancestral origin improving diagnostic sensitivity over that based on determining Ashkenazi ethnicity. Carriers of c.1278insTATC mutations were more likely to have heritage from Western Europe (OR, 1.65 (95% CI, 1.04-2.60), p = 0.032) and South Eastern Europe (OR, 1.77 (95% CI, 1.14-2.73), p = 0.010). However, heritage from specific European countries investigated did not significantly alter the overall odds of TSD carrier status.
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Baiotto C, Sperb F, Matte U, da Silva CD, Sano R, Coelho JC, Giugliani R. Population analysis of the GLB1 gene in South Brazil. Genet Mol Biol 2011; 34:45-8. [PMID: 21637542 PMCID: PMC3085372 DOI: 10.1590/s1415-47572011000100009] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2010] [Accepted: 10/29/2010] [Indexed: 11/22/2022] Open
Abstract
Infantile GM1 gangliosidosis is caused by the absence or reduction of lysosomal beta-galactosidase activity. Studies conducted in Brazil have indicated that it is one of the most frequent lysosomal storage disorders in the southern part of the country. To assess the incidence of this disorder, 390 blood donors were tested for the presence of two common mutations (1622–1627insG and R59H) in the GLB1 gene. Another group, consisting of 26 GM1 patients, and the blood donors were tested for the presence of two polymorphisms (R521C and S532G), in an attempt to elucidate whether there is a founder effect. The frequencies of the R59H and 1622–1627insG mutations among the GM1 patients studied were 19.2% and 38.5%, respectively. The frequency of polymorphism S532G was 16.7%, whereas R521C was not found in the patients. The overall frequency of either R59H or 1622–1627insG was 57.7% of the disease-causing alleles. This epidemiological study suggested a carrier frequency of 1:58. Seven different haplotypes were found. The 1622–1627insG mutation was not found to be linked to any polymorphism, whereas linkage disequilibrium was found for haplotype 2 (R59H, S532G) (p < 0.001). These data confirm the high incidence of GM1 gangliosidosis and the high frequency of two common mutations in southern Brazil.
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Affiliation(s)
- Cléia Baiotto
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
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Azmanov DN, Dimitrova S, Florez L, Cherninkova S, Draganov D, Morar B, Saat R, Juan M, Arostegui JI, Ganguly S, Soodyall H, Chakrabarti S, Padh H, López-Nevot MA, Chernodrinska V, Anguelov B, Majumder P, Angelova L, Kaneva R, Mackey DA, Tournev I, Kalaydjieva L. LTBP2 and CYP1B1 mutations and associated ocular phenotypes in the Roma/Gypsy founder population. Eur J Hum Genet 2011; 19:326-33. [PMID: 21081970 PMCID: PMC3062003 DOI: 10.1038/ejhg.2010.181] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2010] [Revised: 09/28/2010] [Accepted: 10/08/2010] [Indexed: 12/19/2022] Open
Abstract
Primary congenital glaucoma (PCG) is a genetically heterogeneous autosomal recessive disorder, which is an important cause of blindness in childhood. The first known gene, CYP1B1, accounts for a variable proportion of cases in most populations. A second gene, LTBP2, was recently reported in association with a syndrome, in which glaucoma is secondary to lens dislocation. We report on the molecular and clinical profile of 34 families diagnosed as PCG, all originating from the Roma/Gypsy founder population. Comprehensive sequencing analysis revealed a level of heterogeneity unusual for this population, with five CYP1B1 and one ancestral LTBP2 mutation accounting for ∼70% of patients (25 out of 37) and the remainder still unexplained. Homozygosity for the founder LTBP2 p.R299X mutation resulted in a more severe clinical phenotype and poorer outcome despite a markedly higher number of surgical interventions. The genetically homogeneous group of p.R299X homozygotes showed variable phenotypes (presumably also underlying pathogenetic mechanisms), wherein PCG proper with primary dysgenesis of the trabecular meshwork, and Marfan syndrome-like zonular disease with ectopia lentis and later onset secondary glaucoma are two extremes. The spectrum manifestations may occur in different combinations and have a different evolution even within the same sibship or a single patient. Preliminary observations on compounds with mutations in both CYP1B1-LTBP2 suggest that the observed combinations are of no clinical significance and digenic inheritance is unlikely. We provide a population genetics perspective to explain the allelic heterogeneity, comparing the history and geographic distribution of the two major founder mutations--p.R299X/LTBP2 and p.E387K/CYP1B1.
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Affiliation(s)
- Dimitar N Azmanov
- Laboratory for Molecular Genetics, Centre for Medical Research and Western Australian Institute for Medical Research, QEII Medical Centre, University of Western Australia, Perth, Western Australia, Australia
| | | | - Laura Florez
- Laboratory for Molecular Genetics, Centre for Medical Research and Western Australian Institute for Medical Research, QEII Medical Centre, University of Western Australia, Perth, Western Australia, Australia
| | | | | | - Bharti Morar
- Laboratory for Molecular Genetics, Centre for Medical Research and Western Australian Institute for Medical Research, QEII Medical Centre, University of Western Australia, Perth, Western Australia, Australia
| | - Rosmawati Saat
- Laboratory for Molecular Genetics, Centre for Medical Research and Western Australian Institute for Medical Research, QEII Medical Centre, University of Western Australia, Perth, Western Australia, Australia
| | - Manel Juan
- Servei d'Immunologia, IDIBAPS-Hospital Clínic, Barcelona, Spain
| | | | - Sriparna Ganguly
- Human Genetics Unit, Indian Statistical Institute, Kolkata, India
| | - Himla Soodyall
- National Health Laboratory Service, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Harish Padh
- BV Patel Pharmaceutical Education and Research Development Centre, Thaltej, Ahmedabad, India
| | - Miguel A López-Nevot
- Servicio de Análisis Clínicos, Hospital Universitario Virgen de las Nieves, Universidad de Granada, Granada, Spain
| | | | - Botio Anguelov
- Department of Ophthalmology, Medical University, Sofia, Bulgaria
| | - Partha Majumder
- Human Genetics Unit, Indian Statistical Institute, Kolkata, India
- National Institute of Biomedical Genomics, Kalyani, India
| | - Lyudmila Angelova
- Department of Paediatrics and Medical Genetics, Medical University, Varna, Bulgaria
| | - Radka Kaneva
- Molecular Medicine Centre, Medical University, Sofia, Bulgaria
| | - David A Mackey
- Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia
| | - Ivailo Tournev
- Department of Neurology, Medical University, Sofia, Bulgaria
- Department of Cognitive Science and Psychology, New Bulgarian University, Sofia, Bulgaria
| | - Luba Kalaydjieva
- Laboratory for Molecular Genetics, Centre for Medical Research and Western Australian Institute for Medical Research, QEII Medical Centre, University of Western Australia, Perth, Western Australia, Australia
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Harris EE. Nonadaptive processes in primate and human evolution. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2011; 143 Suppl 51:13-45. [PMID: 21086525 DOI: 10.1002/ajpa.21439] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Evolutionary biology has tended to focus on adaptive evolution by positive selection as the primum mobile of evolutionary trajectories in species while underestimating the importance of nonadaptive evolutionary processes. In this review, I describe evidence that suggests that primate and human evolution has been strongly influenced by nonadaptive processes, particularly random genetic drift and mutation. This is evidenced by three fundamental effects: a relative relaxation of selective constraints (i.e., purifying selection), a relative increase in the fixation of slightly deleterious mutations, and a general reduction in the efficacy of positive selection. These effects are observed in protein-coding, regulatory regions, and in gene expression data, as well as in an augmentation of fixation of large-scale mutations, including duplicated genes, mobile genetic elements, and nuclear mitochondrial DNA. The evidence suggests a general population-level explanation such as a reduction in effective population size (N(e)). This would have tipped the balance between the evolutionary forces of natural selection and random genetic drift toward genetic drift for variants having small selective effects. After describing these proximate effects, I describe the potential consequences of these effects for primate and human evolution. For example, an increase in the fixation of slightly deleterious mutations could potentially have led to an increase in the fixation rate of compensatory mutations that act to suppress the effects of slightly deleterious substitutions. The potential consequences of compensatory evolution for the evolution of novel gene functions and in potentially confounding the detection of positively selected genes are explored. The consequences of the passive accumulation of large-scale genomic mutations by genetic drift are unclear, though evidence suggests that new gene copies as well as insertions of transposable elements into genes can potentially lead to adaptive phenotypes. Finally, because a decrease in selective constraint at the genetic level is expected to have effects at the morphological level, I review studies that compare rates of morphological change in various mammalian and island populations where N(e) is reduced. Furthermore, I discuss evidence that suggests that craniofacial morphology in the Homo lineage has shifted from an evolutionary rate constrained by purifying selection toward a neutral evolutionary rate.
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Affiliation(s)
- Eugene E Harris
- Department of Biological Sciences and Geology, Queensborough Community College, City University of New York, Bayside, NY 10364, USA.
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50
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Case studies in the co-production of populations and genetics: The making of ‘at risk populations’ in BRCA genetics. BIOSOCIETIES 2010. [DOI: 10.1057/biosoc.2010.27] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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