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Faux P, Ding L, Ramirez-Aristeguieta LM, Chacón-Duque JC, Comini M, Mendoza-Revilla J, Fuentes-Guajardo M, Jaramillo C, Arias W, Hurtado M, Villegas V, Granja V, Barquera R, Everardo-Martínez P, Quinto-Sánchez M, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Hünemeier T, Ramallo V, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acuña-Alonzo V, Canizales-Quinteros S, Poletti G, Gallo C, Rothhammer F, Rojas W, Schmid AB, Adhikari K, Bennett DL, Ruiz-Linares A. Neanderthal introgression in SCN9A impacts mechanical pain sensitivity. Commun Biol 2023; 6:958. [PMID: 37816865 PMCID: PMC10564861 DOI: 10.1038/s42003-023-05286-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 08/25/2023] [Indexed: 10/12/2023] Open
Abstract
The Nav1.7 voltage-gated sodium channel plays a key role in nociception. Three functional variants in the SCN9A gene (encoding M932L, V991L, and D1908G in Nav1.7), have recently been identified as stemming from Neanderthal introgression and to associate with pain symptomatology in UK BioBank data. In 1000 genomes data, these variants are absent in Europeans but common in Latin Americans. Analysing high-density genotype data from 7594 Latin Americans, we characterized Neanderthal introgression in SCN9A. We find that tracts of introgression occur on a Native American genomic background, have an average length of ~123 kb and overlap the M932L, V991L, and D1908G coding positions. Furthermore, we measured experimentally six pain thresholds in 1623 healthy Colombians. We found that Neanderthal ancestry in SCN9A is significantly associated with a lower mechanical pain threshold after sensitization with mustard oil and evidence of additivity of effects across Nav1.7 variants. Our findings support the reported association of Neanderthal Nav1.7 variants with clinical pain, define a specific sensory modality affected by archaic introgression in SCN9A and are consistent with independent effects of the Neanderthal variants on Nav1.7 function.
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Affiliation(s)
- Pierre Faux
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, 200438, Shanghai, China
- UMR ADES, Aix-Marseille Université, CNRS, EFS, 13005, Marseille, France
- UMR GenPhySE, INRAE, INP, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France
| | - Li Ding
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, 200438, Shanghai, China
| | | | - J Camilo Chacón-Duque
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, SE-10691, Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, SE-1069, Stockholm, Sweden
- Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK
| | - Maddalena Comini
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK
| | - Javier Mendoza-Revilla
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
- Unit of Human Evolutionary Genetics, Institut Pasteur, 75015, Paris, France
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, 1000000, Arica, Chile
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, 5001000, Medellín, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, 5001000, Medellín, Colombia
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Rodrigo Barquera
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), 07745, Jena, Germany
| | - Paola Everardo-Martínez
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
| | - Mirsha Quinto-Sánchez
- Forensic Science, Faculty of Medicine, UNAM (Universidad Nacional Autónoma de México), 06320, Mexico City, Mexico
| | - Jorge Gómez-Valdés
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, 4510, Mexico City, Mexico
| | | | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, 05508-090, São Paulo, SP, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, 90040-060, Porto Alegre, Brasil
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, U9129ACD, Puerto Madryn, Argentina
| | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, U9129ACD, Puerto Madryn, Argentina
| | - Lavinia Schüler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, 90040-060, Porto Alegre, Brasil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, 90040-060, Porto Alegre, Brasil
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, 4510, Mexico City, Mexico
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, 1000000, Arica, Chile
| | - Winston Rojas
- GENMOL (Genética Molecular), Universidad de Antioquia, 5001000, Medellín, Colombia
| | - Annina B Schmid
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK.
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, UK.
- Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
| | - David L Bennett
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK.
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, 200438, Shanghai, China.
- UMR ADES, Aix-Marseille Université, CNRS, EFS, 13005, Marseille, France.
- Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK.
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Luo J, Huang H, Qiao H, Tan J, Chen W, Zhang M, Ruiz-Linares A, Wang J, Yang Y, Jin L, Headon DJ, Wang S. GWASs Identify Genetic Loci Associated with Human Scalp Hair Whorl Direction. J Invest Dermatol 2023; 143:2065-2068.e10. [PMID: 37565938 DOI: 10.1016/j.jid.2023.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 04/07/2023] [Accepted: 04/10/2023] [Indexed: 08/12/2023]
Affiliation(s)
- Junyu Luo
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - He Huang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China
| | - Hui Qiao
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China
| | - Jingze Tan
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China
| | - Wenyan Chen
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Manfei Zhang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China; Aix-Marseille Université, Centre National de la Recherche Scientifique (CNRS), EFS, Anthropologie Bio-Culturelle, Droit, Ethique et Santé (ADES), Marseille, France; Department of Genetics, Evolution and Environment, UCL Division of Biosciences, University College London, London, United Kingdom
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China; Fudan-Taizhou Institute of Health Sciences, Taizhou, China; Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Shanghai, China
| | - Yajun Yang
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China; Fudan-Taizhou Institute of Health Sciences, Taizhou, China; Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Shanghai, China
| | - Denis J Headon
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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3
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Peng F, Xiong Z, Zhu G, Hysi PG, Eller RJ, Wu S, Adhikari K, Chen Y, Li Y, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acuña-Alonzo V, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Uitterlinden AG, Ikram MA, Nijsten T, Ruiz-Linares A, Wang S, Walsh S, Spector TD, Martin NG, Kayser M, Liu F. GWAs Identify DNA Variants Influencing Eyebrow Thickness Variation in Europeans and Across Continental Populations. J Invest Dermatol 2023; 143:1317-1322.e11. [PMID: 37085041 DOI: 10.1016/j.jid.2022.11.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 04/23/2023]
Affiliation(s)
- Fuduan Peng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ziyi Xiong
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Pirro G Hysi
- Department of Twin Research & Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, United Kingdom
| | - Ryan J Eller
- Department of Biology, School of Science, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, USA
| | - Sijie Wu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, Division of Biosciences, London, United Kingdom; Genetics Institute, Division of Biosciences, University College London, London, United Kingdom; School of Mathematics & Statistics, Faculty of Science, Technology, Engineering & Mathematics, The Open University, Milton Keynes, United Kingdom
| | - Yan Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; China National Center for Bioinformation, Beijing, China
| | - Yi Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; China National Center for Bioinformation, Beijing, China
| | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Puerto Madryn, Argentina
| | | | - Maria-Cátira Bortolini
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, Mexico
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM)-Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia
| | | | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, Division of Biosciences, London, United Kingdom; CNRS, EFS, ADES UMR 7268, Faculté de Médecine Timone, Aix-Marseille Université, Marseille, France; Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China; Human Phenome Institute, Fudan University, Shanghai, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Susan Walsh
- Department of Biology, School of Science, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, USA
| | - Timothy D Spector
- Department of Twin Research & Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, United Kingdom
| | | | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; China National Center for Bioinformation, Beijing, China
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4
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Li Q, Chen J, Faux P, Delgado ME, Bonfante B, Fuentes-Guajardo M, Mendoza-Revilla J, Chacón-Duque JC, Hurtado M, Villegas V, Granja V, Jaramillo C, Arias W, Barquera R, Everardo-Martínez P, Sánchez-Quinto M, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Hünemeier T, Ramallo V, Wu S, Du S, Giardina A, Paria SS, Khokan MR, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acuña-Alonzo V, Canizales-Quinteros S, Gallo C, Poletti G, Rojas W, Rothhammer F, Navarro N, Wang S, Adhikari K, Ruiz-Linares A. Automatic landmarking identifies new loci associated with face morphology and implicates Neanderthal introgression in human nasal shape. Commun Biol 2023; 6:481. [PMID: 37156940 PMCID: PMC10167347 DOI: 10.1038/s42003-023-04838-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 04/12/2023] [Indexed: 05/10/2023] Open
Abstract
We report a genome-wide association study of facial features in >6000 Latin Americans based on automatic landmarking of 2D portraits and testing for association with inter-landmark distances. We detected significant associations (P-value <5 × 10-8) at 42 genome regions, nine of which have been previously reported. In follow-up analyses, 26 of the 33 novel regions replicate in East Asians, Europeans, or Africans, and one mouse homologous region influences craniofacial morphology in mice. The novel region in 1q32.3 shows introgression from Neanderthals and we find that the introgressed tract increases nasal height (consistent with the differentiation between Neanderthals and modern humans). Novel regions include candidate genes and genome regulatory elements previously implicated in craniofacial development, and show preferential transcription in cranial neural crest cells. The automated approach used here should simplify the collection of large study samples from across the world, facilitating a cosmopolitan characterization of the genetics of facial features.
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Affiliation(s)
- Qing Li
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China
| | - Jieyi Chen
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Pierre Faux
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille, 13005, France
| | - Miguel Eduardo Delgado
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China
- División Antropología, Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata, La Plata, República Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, Buenos Aires, República Argentina
| | - Betty Bonfante
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille, 13005, France
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, 1000000, Chile
| | - Javier Mendoza-Revilla
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
- Unit of Human Evolutionary Genetics, Institut Pasteur, Paris, 75015, France
| | - J Camilo Chacón-Duque
- Division of Vertebrates and Anthropology, Department of Earth Sciences, Natural History Museum, London, SW7 5BD, UK
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - Rodrigo Barquera
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, Mexico, 6600, Mexico
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, 07745, Germany
| | - Paola Everardo-Martínez
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, Mexico, 6600, Mexico
| | - Mirsha Sánchez-Quinto
- Forensic Science, Faculty of Medicine, UNAM (Universidad Nacional Autónoma de México), Mexico City, 06320, Mexico
| | - Jorge Gómez-Valdés
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, Mexico, 6600, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, 4510, Mexico
| | | | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, SP, 05508-090, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 90040-060, Brazil
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, U9129ACD, Argentina
| | - Sijie Wu
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Siyuan Du
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Andrea Giardina
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, United Kingdom
| | - Soumya Subhra Paria
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, United Kingdom
| | - Mahfuzur Rahman Khokan
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, United Kingdom
| | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, U9129ACD, Argentina
| | - Lavinia Schüler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 90040-060, Brazil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 90040-060, Brazil
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, Mexico, 6600, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, 4510, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Winston Rojas
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Arica, 1000000, Chile
| | - Nicolas Navarro
- Biogéosciences, UMR 6282 CNRS, Université de Bourgogne, Dijon, 21000, France
- EPHE, PSL University, Paris, 75014, France
| | - Sijia Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, United Kingdom.
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China.
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille, 13005, France.
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.
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5
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Nieves-Colón MA, Badillo Rivera KM, Sandoval K, Villanueva Dávalos V, Enriquez Lencinas LE, Mendoza-Revilla J, Adhikari K, González-Buenfil R, Chen JW, Zhang ET, Sockell A, Ortiz-Tello P, Hurtado GM, Condori Salas R, Cebrecos R, Manzaneda Choque JC, Manzaneda Choque FP, Yábar Pilco GP, Rawls E, Eng C, Huntsman S, Burchard E, Ruiz-Linares A, González-José R, Bedoya G, Rothhammer F, Bortolini MC, Poletti G, Gallo C, Bustamante CD, Baker JC, Gignoux CR, Wojcik GL, Moreno-Estrada A. Clotting factor genes are associated with preeclampsia in high-altitude pregnant women in the Peruvian Andes. Am J Hum Genet 2022; 109:1117-1139. [PMID: 35588731 PMCID: PMC9247825 DOI: 10.1016/j.ajhg.2022.04.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 04/25/2022] [Indexed: 11/20/2022] Open
Abstract
Preeclampsia is a multi-organ complication of pregnancy characterized by sudden hypertension and proteinuria that is among the leading causes of preterm delivery and maternal morbidity and mortality worldwide. The heterogeneity of preeclampsia poses a challenge for understanding its etiology and molecular basis. Intriguingly, risk for the condition increases in high-altitude regions such as the Peruvian Andes. To investigate the genetic basis of preeclampsia in a population living at high altitude, we characterized genome-wide variation in a cohort of preeclamptic and healthy Andean families (n = 883) from Puno, Peru, a city located above 3,800 meters of altitude. Our study collected genomic DNA and medical records from case-control trios and duos in local hospital settings. We generated genotype data for 439,314 SNPs, determined global ancestry patterns, and mapped associations between genetic variants and preeclampsia phenotypes. A transmission disequilibrium test (TDT) revealed variants near genes of biological importance for placental and blood vessel function. The top candidate region was found on chromosome 13 of the fetal genome and contains clotting factor genes PROZ, F7, and F10. These findings provide supporting evidence that common genetic variants within coagulation genes play an important role in preeclampsia. A selection scan revealed a potential adaptive signal around the ADAM12 locus on chromosome 10, implicated in pregnancy disorders. Our discovery of an association in a functional pathway relevant to pregnancy physiology in an understudied population of Native American origin demonstrates the increased power of family-based study design and underscores the importance of conducting genetic research in diverse populations.
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Affiliation(s)
- Maria A Nieves-Colón
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36821, México; School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85281, USA; Department of Anthropology, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.
| | | | - Karla Sandoval
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36821, México
| | | | | | - Javier Mendoza-Revilla
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru; Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris 75015, France
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes MK7 6AA, UK; Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, WC1E 6BT London, UK
| | - Ram González-Buenfil
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36821, México
| | - Jessica W Chen
- Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Elisa T Zhang
- Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Alexandra Sockell
- Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA
| | | | - Gloria Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Ramiro Condori Salas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Ricardo Cebrecos
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | | | | | | | - Erin Rawls
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85281, USA
| | - Celeste Eng
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94143, USA
| | - Scott Huntsman
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94143, USA
| | - Esteban Burchard
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94143, USA
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, WC1E 6BT London, UK; Aix-Marseille Université, CNRS, EFS, ADES, 13005 Marseille, France; Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, China
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico-CONICET y Programa Nacional de Referencia y Biobanco Genómico de la Población Argentina (PoblAr), Ministerio de Ciencia, Tecnología e Innovación, Puerto Madryn, Chubut, Argentina
| | - Gabriel Bedoya
- Genética Molecular (GENMOL), Universidad de Antioquía, Medellin, Colombia
| | - Francisco Rothhammer
- Instituto de Alta Investigación Universidad de Tarapacá, Tarapacá, Chile; Programa de Genética Humana, ICBM Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Maria Cátira Bortolini
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Caixa Postal 15053, 91501-970 Porto Alegre, Rio Grande do Sul, Brazil
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Carlos D Bustamante
- Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford School of Medicine, Stanford, CA 94305, USA
| | - Julie C Baker
- Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA
| | | | - Genevieve L Wojcik
- Department of Epidemiology, Bloomberg School of Public Health, John Hopkins University, Baltimore, MD 21205, USA
| | - Andrés Moreno-Estrada
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36821, México.
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6
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Mendoza-Revilla J, Chacón-Duque JC, Fuentes-Guajardo M, Ormond L, Wang K, Hurtado M, Villegas V, Granja V, Acuña-Alonzo V, Jaramillo C, Arias W, Barquera R, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Badillo Rivera KM, Nieves-Colón MA, Gignoux CR, Wojcik GL, Moreno-Estrada A, Hünemeier T, Ramallo V, Schuler-Faccini L, Gonzalez-José R, Bortolini MC, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Balding D, Fumagalli M, Adhikari K, Ruiz-Linares A, Hellenthal G. Disentangling Signatures of Selection Before and After European Colonization in Latin Americans. Mol Biol Evol 2022; 39:6565306. [PMID: 35460423 PMCID: PMC9034689 DOI: 10.1093/molbev/msac076] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Throughout human evolutionary history, large-scale migrations have led to intermixing (i.e., admixture) between previously separated human groups. Although classical and recent work have shown that studying admixture can yield novel historical insights, the extent to which this process contributed to adaptation remains underexplored. Here, we introduce a novel statistical model, specific to admixed populations, that identifies loci under selection while determining whether the selection likely occurred post-admixture or prior to admixture in one of the ancestral source populations. Through extensive simulations, we show that this method is able to detect selection, even in recently formed admixed populations, and to accurately differentiate between selection occurring in the ancestral or admixed population. We apply this method to genome-wide SNP data of ∼4,000 individuals in five admixed Latin American cohorts from Brazil, Chile, Colombia, Mexico, and Peru. Our approach replicates previous reports of selection in the human leukocyte antigen region that are consistent with selection post-admixture. We also report novel signals of selection in genomic regions spanning 47 genes, reinforcing many of these signals with an alternative, commonly used local-ancestry-inference approach. These signals include several genes involved in immunity, which may reflect responses to endemic pathogens of the Americas and to the challenge of infectious disease brought by European contact. In addition, some of the strongest signals inferred to be under selection in the Native American ancestral groups of modern Latin Americans overlap with genes implicated in energy metabolism phenotypes, plausibly reflecting adaptations to novel dietary sources available in the Americas.
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Affiliation(s)
- Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.,Human Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.,Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - J Camilo Chacón-Duque
- Centre for Palaeogenetics, Stockholm, Sweden.,Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, Chile
| | - Louise Ormond
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
| | - Ke Wang
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.,Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | | | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia
| | - Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.,National School of Anthropology and History, Mexico City, Mexico
| | | | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, Mexico.,Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | | | | | - Maria A Nieves-Colón
- Department of Anthropology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Christopher R Gignoux
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Genevieve L Wojcik
- Bloomberg School of Public Health, John Hopkins University, Baltimore, MD, USA
| | - Andrés Moreno-Estrada
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Tábita Hünemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Department of Genetics and Evolutionary Biology, University of São Paulo, São Paulo, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | | | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, Mexico.,Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia
| | | | - David Balding
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.,Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, Australia
| | - Matteo Fumagalli
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, United Kingdom
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.,Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, China.,Aix-Marseille Université, CNRS, EFS, ADES, Marseille, France
| | - Garrett Hellenthal
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
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7
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Zhang M, Wu S, Du S, Qian W, Chen J, Qiao L, Yang Y, Tan J, Yuan Z, Peng Q, Liu Y, Navarro N, Tang K, Ruiz-Linares A, Wang J, Claes P, Jin L, Li J, Wang S. Genetic variants underlying differences in facial morphology in East Asian and European populations. Nat Genet 2022; 54:403-411. [PMID: 35393595 DOI: 10.1038/s41588-022-01038-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 01/19/2022] [Accepted: 02/25/2022] [Indexed: 11/09/2022]
Abstract
Facial morphology-a conspicuous feature of human appearance-is highly heritable. Previous studies on the genetic basis of facial morphology were performed mainly in European-ancestry cohorts (EUR). Applying a data-driven phenotyping and multivariate genome-wide scanning protocol to a large collection of three-dimensional facial images of individuals with East Asian ancestry (EAS), we identified 244 variants in 166 loci (62 new) associated with typical-range facial variation. A newly proposed polygenic shape analysis indicates that the effects of the variants on facial shape in EAS can be generalized to EUR. Based on this, we further identified 13 variants related to differences between facial shape in EUR and EAS populations. Evolutionary analyses suggest that the difference in nose shape between EUR and EAS populations is caused by a directional selection, due mainly to a local adaptation in Europeans. Our results illustrate the underlying genetic basis for facial differences across populations.
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Affiliation(s)
- Manfei Zhang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China.,CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,School of Computer Science, Fudan University, Shanghai, China
| | - Sijie Wu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China.,CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Siyuan Du
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Wei Qian
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China.,CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,School of Computer Science, Fudan University, Shanghai, China
| | - Jieyi Chen
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Lu Qiao
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yajun Yang
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Jingze Tan
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Ziyu Yuan
- Fudan-Taizhou Institute of Health Sciences, Taizhou, China
| | - Qianqian Peng
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yu Liu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Nicolas Navarro
- Biogéosciences, UMR 6282 CNRS-EPHE, Université Bourgogne Franche-Comté, Dijon, France.,Ecole Pratique des Hautes Etudes, PSL University, Paris, France
| | - Kun Tang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Andrés Ruiz-Linares
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China.,Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Aix-Marseille Université, CNRS, EFS, ADES, Marseille, France.,Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, UK
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China.,Fudan-Taizhou Institute of Health Sciences, Taizhou, China
| | - Peter Claes
- Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium.,Medical Imaging Research Center, UZ Leuven, Leuven, Belgium.,Department of Human Genetics, KU Leuven, Leuven, Belgium.,Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China. .,CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China. .,Fudan-Taizhou Institute of Health Sciences, Taizhou, China.
| | - Jiarui Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China. .,Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium. .,Medical Imaging Research Center, UZ Leuven, Leuven, Belgium.
| | - Sijia Wang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China. .,CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China. .,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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8
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Fears SC, Service SK, Kremeyer B, Araya C, Araya X, Bejarano J, Ramirez M, Castrillón G, Gomez-Franco J, Lopez MC, Montoya G, Montoya P, Aldana I, Teshiba TM, Al-Sharif NB, Jalbrzikowski M, Tishler TA, Escobar J, Ruiz-Linares A, Lopez-Jaramillo C, Macaya G, Molina J, Reus VI, Cantor RM, Sabatti C, Freimer NB, Bearden CE. Genome-wide mapping of brain phenotypes in extended pedigrees with strong genetic loading for bipolar disorder. Mol Psychiatry 2021; 26:5229-5238. [PMID: 32606377 DOI: 10.1038/s41380-020-0805-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 05/26/2020] [Accepted: 05/29/2020] [Indexed: 02/08/2023]
Abstract
Bipolar disorder is a highly heritable illness, associated with alterations of brain structure. As such, identification of genes influencing inter-individual differences in brain morphology may help elucidate the underlying pathophysiology of bipolar disorder (BP). To identify quantitative trait loci (QTL) that contribute to phenotypic variance of brain structure, structural neuroimages were acquired from family members (n = 527) of extended pedigrees heavily loaded for bipolar disorder ascertained from genetically isolated populations in Latin America. Genome-wide linkage and association analysis were conducted on the subset of heritable brain traits that showed significant evidence of association with bipolar disorder (n = 24) to map QTL influencing regional measures of brain volume and cortical thickness. Two chromosomal regions showed significant evidence of linkage; a QTL on chromosome 1p influencing corpus callosum volume and a region on chromosome 7p linked to cortical volume. Association analysis within the two QTLs identified three SNPs correlated with the brain measures.
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Affiliation(s)
- Scott C Fears
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA. .,Section of Mental Health, Greater Los Angeles Veterans Administration, Los Angeles, CA, USA. .,Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA.
| | - Susan K Service
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA.,Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Barbara Kremeyer
- Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK
| | - Carmen Araya
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Xinia Araya
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Julio Bejarano
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Margarita Ramirez
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | | | | | - Maria C Lopez
- Grupo de Investigación en Psiquiatría (Research Group in Psychiatry (GIPSI)), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Gabriel Montoya
- Grupo de Investigación en Psiquiatría (Research Group in Psychiatry (GIPSI)), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Patricia Montoya
- Grupo de Investigación en Psiquiatría (Research Group in Psychiatry (GIPSI)), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Ileana Aldana
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA
| | - Terri M Teshiba
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA
| | - Noor B Al-Sharif
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA
| | - Maria Jalbrzikowski
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA
| | - Todd A Tishler
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA
| | - Javier Escobar
- Department of Psychiatry and Family Medicine, Rutgers-Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, China.,UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de médecine Timone, Marseille, 13005, France.,Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Carlos Lopez-Jaramillo
- Grupo de Investigación en Psiquiatría (Research Group in Psychiatry (GIPSI)), Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Gabriel Macaya
- Cell and Molecular Biology Research Center, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Julio Molina
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA.,BioCiencias Lab, Guatemala, Guatemala
| | - Victor I Reus
- Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Rita M Cantor
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA.,Department of Human Genetics, University of California, Los Angeles, CA, USA
| | - Chiara Sabatti
- Department of Health Research and Policy, Stanford University, Stanford, CA, USA
| | - Nelson B Freimer
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA.,Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Science, University of California, Los Angeles, CA, USA.,Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
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9
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Allouche J, Rachmin I, Adhikari K, Pardo LM, Lee JH, McConnell AM, Kato S, Fan S, Kawakami A, Suita Y, Wakamatsu K, Igras V, Zhang J, Navarro PP, Lugo CM, Noonan HR, Christie KA, Itin K, Mujahid N, Lo JA, Won CH, Evans CL, Weng QY, Wang H, Osseiran S, Lovas A, Németh I, Cozzio A, Navarini AA, Hsiao JJ, Nguyen N, Kemény LV, Iliopoulos O, Berking C, Ruzicka T, Gonzalez-José R, Bortolini MC, Canizales-Quinteros S, Acuna-Alonso V, Gallo C, Poletti G, Bedoya G, Rothhammer F, Ito S, Schiaffino MV, Chao LH, Kleinstiver BP, Tishkoff S, Zon LI, Nijsten T, Ruiz-Linares A, Fisher DE, Roider E. NNT mediates redox-dependent pigmentation via a UVB- and MITF-independent mechanism. Cell 2021; 184:4268-4283.e20. [PMID: 34233163 PMCID: PMC8349839 DOI: 10.1016/j.cell.2021.06.022] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 03/09/2021] [Accepted: 06/15/2021] [Indexed: 12/26/2022]
Abstract
Ultraviolet (UV) light and incompletely understood genetic and epigenetic variations determine skin color. Here we describe an UV- and microphthalmia-associated transcription factor (MITF)-independent mechanism of skin pigmentation. Targeting the mitochondrial redox-regulating enzyme nicotinamide nucleotide transhydrogenase (NNT) resulted in cellular redox changes that affect tyrosinase degradation. These changes regulate melanosome maturation and, consequently, eumelanin levels and pigmentation. Topical application of small-molecule inhibitors yielded skin darkening in human skin, and mice with decreased NNT function displayed increased pigmentation. Additionally, genetic modification of NNT in zebrafish alters melanocytic pigmentation. Analysis of four diverse human cohorts revealed significant associations of skin color, tanning, and sun protection use with various single-nucleotide polymorphisms within NNT. NNT levels were independent of UVB irradiation and redox modulation. Individuals with postinflammatory hyperpigmentation or lentigines displayed decreased skin NNT levels, suggesting an NNT-driven, redox-dependent pigmentation mechanism that can be targeted with NNT-modifying topical drugs for medical and cosmetic purposes.
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Affiliation(s)
- Jennifer Allouche
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Inbal Rachmin
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, The Open University, Milton Keynes, MK7 6AA, UK; Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Luba M Pardo
- Department of Dermatology, Erasmus Medical Center, 3015 Rotterdam, the Netherlands
| | - Ju Hee Lee
- Department of Dermatology and Cutaneous Biology Research Institute, Yonsei University College of Medicine, 03722 Seoul, Korea
| | - Alicia M McConnell
- Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital and the Howard Hughes Medical Institute, Boston, MA 02115, USA
| | - Shinichiro Kato
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA; Department of Immunology, Center for 5D Cell Dynamics, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan
| | - Shaohua Fan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, 200438 Shanghai, China
| | - Akinori Kawakami
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Yusuke Suita
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Kazumasa Wakamatsu
- Institute for Melanin Chemistry, Fujita Health University, Toyoake, Aichi 470-1192, Japan
| | - Vivien Igras
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Jianming Zhang
- National Research Center for Translational Medicine (Shanghai), State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China
| | - Paula P Navarro
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Camila Makhlouta Lugo
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Haley R Noonan
- Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital and the Howard Hughes Medical Institute, Boston, MA 02115, USA
| | - Kathleen A Christie
- Center for Genomic Medicine and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Pathology, Harvard Medical School, Boston, MA 02115, USA
| | - Kaspar Itin
- Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland
| | - Nisma Mujahid
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA; Boston University School of Medicine, Boston, MA 02118, USA; University of Utah, Department of Dermatology, Salt Lake City, UT 84132, USA
| | - Jennifer A Lo
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Chong Hyun Won
- Department of Dermatology, Asan Medical Center, Ulsan University College of Medicine, 05505 Seoul, Korea
| | - Conor L Evans
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Qing Yu Weng
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Hequn Wang
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Sam Osseiran
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Alyssa Lovas
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - István Németh
- Department of Dermatology and Allergology, University of Szeged, 6720 Szeged, Hungary
| | - Antonio Cozzio
- Department of Dermatology, Venerology, and Allergology, Kantonsspital St. Gallen, 9007 St. Gallen, Switzerland
| | - Alexander A Navarini
- Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland
| | - Jennifer J Hsiao
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Nhu Nguyen
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Lajos V Kemény
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA; Department of Dermatology, Venereology, and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary
| | - Othon Iliopoulos
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA 02114, USA
| | - Carola Berking
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich Alexander University Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Thomas Ruzicka
- Department of Dermatology and Allergy, University Hospital Munich, Ludwig Maximilian University, 80337 Munich, Germany
| | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn U912OACD, Argentina
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brazil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City 04510, Mexico
| | | | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Gabriel Bedoya
- Genética Molecular (GENMOL), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000009, Chile; Programa de Genetica Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago 1027, Chile
| | - Shosuke Ito
- Institute for Melanin Chemistry, Fujita Health University, Toyoake, Aichi 470-1192, Japan
| | - Maria Vittoria Schiaffino
- Internal Medicine, Diabetes and Endocrinology Unit, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Luke H Chao
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Benjamin P Kleinstiver
- Center for Genomic Medicine and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Pathology, Harvard Medical School, Boston, MA 02115, USA
| | - Sarah Tishkoff
- Departments of Genetics and Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Leonard I Zon
- Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital and the Howard Hughes Medical Institute, Boston, MA 02115, USA
| | - Tamar Nijsten
- Department of Dermatology, Erasmus Medical Center, 3015 Rotterdam, the Netherlands
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai 200433, China; UMR 7268, CNRS-EFS-ADES, Aix-Marseille University, Marseille 13005, France
| | - David E Fisher
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA; Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA 02114, USA.
| | - Elisabeth Roider
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA; Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland; Department of Dermatology and Allergology, University of Szeged, 6720 Szeged, Hungary.
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10
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Nunes K, Maia MHT, Dos Santos EJM, Dos Santos SEB, Guerreiro JF, Petzl-Erler ML, Bedoya G, Gallo C, Poletti G, Llop E, Tsuneto L, Bortolini MC, Rothhammer F, Single R, Ruiz-Linares A, Rocha J, Meyer D. How natural selection shapes genetic differentiation in the MHC region: A case study with Native Americans. Hum Immunol 2021; 82:523-531. [PMID: 33812704 PMCID: PMC8217218 DOI: 10.1016/j.humimm.2021.03.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 02/15/2021] [Accepted: 03/09/2021] [Indexed: 12/19/2022]
Abstract
The Human Leukocyte Antigen (HLA) loci are extremely well documented targets of balancing selection, yet few studies have explored how selection affects population differentiation at these loci. In the present study we investigate genetic differentiation at HLA genes by comparing differentiation at microsatellites distributed genomewide to those in the MHC region. Our study uses a sample of 494 individuals from 30 human populations, 28 of which are Native Americans, all of whom were typed for genomewide and MHC region microsatellites. We find greater differentiation in the MHC than in the remainder of the genome (FST-MHC = 0.130 and FST-Genomic = 0.087), and use a permutation approach to show that this difference is statistically significant, and not accounted for by confounding factors. This finding lies in the opposite direction to the expectation that balancing selection reduces population differentiation. We interpret our findings as evidence that selection favors different sets of alleles in distinct localities, leading to increased differentiation. Thus, balancing selection at HLA genes simultaneously increases intra-population polymorphism and inter-population differentiation in Native Americans.
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Affiliation(s)
- Kelly Nunes
- Departamento de Genética e Biologia Evolutiva, Universidade de São Paulo, São Paulo, Brazil.
| | | | | | | | | | | | - Gabriel Bedoya
- Instituto de Biología, Universidad de Antioquia, Medellín, Colombia
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Giovanni Poletti
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Elena Llop
- Instituto de Ciencias Biomédicas, Faculdad de Medicina, Universidade de Chile, Santiago, Chile
| | - Luiza Tsuneto
- Departamento de Ciências Básicas da Saúde, Universidade Estadual de Maringá, Maringá, Brazil
| | - Maria Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Richard Single
- Department of Mathematics and Statistics, University of Vermont, Burlington, VT, USA
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai 200433, China; D Aix-Marseille University, CNRS, EFS, ADES, Marseille 13007, France
| | - Jorge Rocha
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal; CIBIO - Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Porto, Portugal.
| | - Diogo Meyer
- Departamento de Genética e Biologia Evolutiva, Universidade de São Paulo, São Paulo, Brazil.
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11
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Paschetta C, de Azevedo S, Ramallo V, Cintas C, Pérez O, Navarro P, Bandieri L, Sánchez MQ, Adhikari K, Bortolini MC, Ferrara GP, Gallo C, Bedoya G, Rothhammer F, Alonzo VA, Ruiz-Linares A, González-José R. The impact of socioeconomic and phenotypic traits on self-perception of ethnicity in Latin America. Sci Rep 2021; 11:12617. [PMID: 34135396 PMCID: PMC8209281 DOI: 10.1038/s41598-021-92061-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 05/18/2021] [Indexed: 01/10/2023] Open
Abstract
Self-perception of ethnicity is a complex social trait shaped by both, biological and non-biological factors. We developed a comprehensive analysis of ethnic self-perception (ESP) on a large sample of Latin American mestizos from five countries, differing in age, socio-economic and education context, external phenotypic attributes and genetic background. We measured the correlation of ESP against genomic ancestry, and the influence of physical appearance, socio-economic context, and education on the distortion observed between both. Here we show that genomic ancestry is correlated to aspects of physical appearance, which in turn affect the individual ethnic self-perceived ancestry. Also, we observe that, besides the significant correlation among genomic ancestry and ESP, specific physical or socio-economic attributes have a strong impact on self-perception. In addition, the distortion among ESP and genomic ancestry differs across age ranks/countries, probably suggesting the underlying effect of past public policies regarding identity. Our results indicate that individuals' own ideas about its origins should be taken with caution, especially in aspects of modern life, including access to work, social policies, and public health key decisions such as drug administration, therapy design, and clinical trials, among others.
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Affiliation(s)
- Carolina Paschetta
- Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina
| | - Soledad de Azevedo
- Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina
| | - Virginia Ramallo
- Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina
| | | | - Orlando Pérez
- Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina
| | - Pablo Navarro
- Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina
| | - Lucas Bandieri
- Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina
| | - Mirsha Quinto Sánchez
- Ciencia Forense, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, United Kingdom.,Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, United Kingdom
| | - M Catira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Giovanni Poletti Ferrara
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Gabriel Bedoya
- Grupo de Genética Molecular (GENMOL), Universidad de Antioquia, Medellín, Colombia
| | - Francisco Rothhammer
- Instituto de Alta Investigación Universidad de Tarapacá, Programa de Genética Humana, ICBM Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | | | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, United Kingdom.,UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, 13005, Marseille, France.,Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200433, China
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas-CONICET, Puerto Madryn, Chubut, Argentina. .,Centro Nacional Patagónico-CONICET, Bvd. Brown 2915. U9120ACD, Puerto Madryn, Argentina.
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12
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Chen Y, André M, Adhikari K, Blin M, Bonfante B, Mendoza-Revilla J, Fuentes-Guajardo M, Palmal S, Chacón-Duque JC, Hurtado M, Villegas V, Granja V, Jaramillo C, Arias W, Lozano RB, Everardo-Martínez P, Gómez-Valdés J, Villamil-Ramírez H, de Cerqueira CCS, Hünemeier T, Ramallo V, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acuña-Alonzo V, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Balding D, Tobin DJ, Wang S, Faux P, Ruiz-Linares A. A genome-wide association study identifies novel gene associations with facial skin wrinkling and mole count in Latin Americans. Br J Dermatol 2021; 185:988-998. [PMID: 33959940 DOI: 10.1111/bjd.20436] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/04/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND Genome-wide association studies (GWASs) have identified genes influencing skin ageing and mole count in Europeans, but little is known about the relevance of these (or other genes) in non-Europeans. OBJECTIVES To conduct a GWAS for facial skin ageing and mole count in adults < 40 years old, of mixed European, Native American and African ancestry, recruited in Latin America. METHODS Skin ageing and mole count scores were obtained from facial photographs of over 6000 individuals. After quality control checks, three wrinkling traits and mole count were retained for genetic analyses. DNA samples were genotyped with Illumina's HumanOmniExpress chip. Association testing was performed on around 8 703 729 single-nucleotide polymorphisms (SNPs) across the autosomal genome. RESULTS Genome-wide significant association was observed at four genome regions: two were associated with wrinkling (in 1p13·3 and 21q21·2), one with mole count (in 1q32·3) and one with both wrinkling and mole count (in 5p13·2). Associated SNPs in 5p13·2 and in 1p13·3 are intronic within SLC45A2 and VAV3, respectively, while SNPs in 1q32·3 are near the SLC30A1 gene, and those in 21q21·2 occur in a gene desert. Analyses of SNPs in IRF4 and MC1R are consistent with a role of these genes in skin ageing. CONCLUSIONS We replicate the association of wrinkling with variants in SLC45A2, IRF4 and MC1R reported in Europeans. We identify VAV3 and SLC30A1 as two novel candidate genes impacting on wrinkling and mole count, respectively. We provide the first evidence that SLC45A2 influences mole count, in addition to variants in this gene affecting melanoma risk in Europeans.
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Affiliation(s)
- Y Chen
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, China
| | - M André
- UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France.,Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - K Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, UK.,Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - M Blin
- UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France
| | - B Bonfante
- UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France
| | - J Mendoza-Revilla
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú.,Unit of Human Evolutionary Genetics, Institut Pasteur, Paris, 75015, France
| | - M Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, 1000000, Chile
| | - S Palmal
- UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France
| | - J C Chacón-Duque
- Division of Vertebrates and Anthropology, Department of Earth Sciences, Natural History Museum, London, SW7 5BD, UK
| | - M Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - V Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - V Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - C Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - W Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - R B Lozano
- National Institute of Anthropology and History, Mexico City, MC, 6600, Mexico.,Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, 07745, Germany
| | - P Everardo-Martínez
- National Institute of Anthropology and History, Mexico City, MC, 6600, Mexico
| | - J Gómez-Valdés
- National Institute of Anthropology and History, Mexico City, MC, 6600, Mexico
| | - H Villamil-Ramírez
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, MC, 4510, Mexico
| | | | - T Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, SP, 05508-090, Brazil
| | - V Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 90040-060, Brazil.,Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, U9129ACD, Argentina
| | - R Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, U9129ACD, Argentina
| | - L Schüler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 90040-060, Brazil
| | - M-C Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 90040-060, Brazil
| | - V Acuña-Alonzo
- National Institute of Anthropology and History, Mexico City, MC, 6600, Mexico
| | - S Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, MC, 4510, Mexico
| | - C Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - G Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - G Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - F Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, 1000000, Chile
| | - D Balding
- Melbourne Integrative Genomics, Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, VIC, 3010, Australia
| | - D J Tobin
- The Charles Institute of Dermatology, University College Dublin, Dublin, Ireland
| | - S Wang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institutes for Biological Sciences, University of the Chinese Academy of Sciences, Shanghai, 200031, China
| | - P Faux
- UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France
| | - A Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, China.,UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France.,Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
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13
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Palmal S, Adhikari K, Mendoza-Revilla J, Fuentes-Guajardo M, Silva de Cerqueira CC, Bonfante B, Chacón-Duque JC, Sohail A, Hurtado M, Villegas V, Granja V, Jaramillo C, Arias W, Lozano RB, Everardo-Martínez P, Gómez-Valdés J, Villamil-Ramírez H, Hünemeier T, Ramallo V, Parolin ML, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acuña-Alonzo V, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Balding D, Faux P, Ruiz-Linares A. Prediction of eye, hair and skin colour in Latin Americans. Forensic Sci Int Genet 2021; 53:102517. [PMID: 33865096 DOI: 10.1016/j.fsigen.2021.102517] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 03/19/2021] [Accepted: 03/30/2021] [Indexed: 10/21/2022]
Abstract
Here we evaluate the accuracy of prediction for eye, hair and skin pigmentation in a dataset of > 6500 individuals from Mexico, Colombia, Peru, Chile and Brazil (including genome-wide SNP data and quantitative/categorical pigmentation phenotypes - the CANDELA dataset CAN). We evaluated accuracy in relation to different analytical methods and various phenotypic predictors. As expected from statistical principles, we observe that quantitative traits are more sensitive to changes in the prediction models than categorical traits. We find that Random Forest or Linear Regression are generally the best performing methods. We also compare the prediction accuracy of SNP sets defined in the CAN dataset (including 56, 101 and 120 SNPs for eye, hair and skin colour prediction, respectively) to the well-established HIrisPlex-S SNP set (including 6, 22 and 36 SNPs for eye, hair and skin colour prediction respectively). When training prediction models on the CAN data, we observe remarkably similar performances for HIrisPlex-S and the larger CAN SNP sets for the prediction of hair (categorical) and eye (both categorical and quantitative), while the CAN sets outperform HIrisPlex-S for quantitative, but not for categorical skin pigmentation prediction. The performance of HIrisPlex-S, when models are trained in a world-wide sample (although consisting of 80% Europeans, https://hirisplex.erasmusmc.nl), is lower relative to training in the CAN data (particularly for hair and skin colour). Altogether, our observations are consistent with common variation of eye and hair colour having a relatively simple genetic architecture, which is well captured by HIrisPlex-S, even in admixed Latin Americans (with partial European ancestry). By contrast, since skin pigmentation is a more polygenic trait, accuracy is more sensitive to prediction SNP set size, although here this effect was only apparent for a quantitative measure of skin pigmentation. Our results support the use of HIrisPlex-S in the prediction of categorical pigmentation traits for forensic purposes in Latin America, while illustrating the impact of training datasets on its accuracy.
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Affiliation(s)
- Sagnik Palmal
- UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille 13005, France
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes MK7 6AA, UK; Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Javier Mendoza-Revilla
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú; Unit of Human Evolutionary Genetics, Institut Pasteur, Paris 75015, France
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica 1000000, Chile
| | | | - Betty Bonfante
- UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille 13005, France
| | - Juan Camilo Chacón-Duque
- Division of Vertebrates and Anthropology, Department of Earth Sciences, Natural History Museum, London SW7 5BD, UK
| | - Anood Sohail
- Department of Biotechnology, Kinnaird College for Women, 93 - Jail Road, Lahore 54000, Pakistan
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Claudia Jaramillo
- Department of Biotechnology, Kinnaird College for Women, 93 - Jail Road, Lahore 54000, Pakistan; GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Rodrigo Barquera Lozano
- National Institute of Anthropology and History, Mexico City 6600, Mexico; Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena 07745, Germany
| | | | - Jorge Gómez-Valdés
- National Institute of Anthropology and History, Mexico City 6600, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City 4510, Mexico
| | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, SP 05508-090, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil; Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina
| | - Maria-Laura Parolin
- Instituto de Diversidad y Evolución Austral (IDEAus), Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina
| | - Lavinia Schüler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil
| | | | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City 4510, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile; Programa de Genetica Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Arica 1000000, Chile
| | - David Balding
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK; Melbourne Integrative Genomics, Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Pierre Faux
- UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille 13005, France.
| | - Andrés Ruiz-Linares
- UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille 13005, France; Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK; Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, China.
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14
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Bonfante B, Faux P, Navarro N, Mendoza-Revilla J, Dubied M, Montillot C, Wentworth E, Poloni L, Varón-González C, Jones P, Xiong Z, Fuentes-Guajardo M, Palmal S, Chacón-Duque JC, Hurtado M, Villegas V, Granja V, Jaramillo C, Arias W, Barquera R, Everardo-Martínez P, Sánchez-Quinto M, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Hünemeier T, Ramallo V, Liu F, Weinberg SM, Shaffer JR, Stergiakouli E, Howe LJ, Hysi PG, Spector TD, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acuña-Alonzo V, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Thauvin-Robinet C, Faivre L, Costedoat C, Balding D, Cox T, Kayser M, Duplomb L, Yalcin B, Cotney J, Adhikari K, Ruiz-Linares A. A GWAS in Latin Americans identifies novel face shape loci, implicating VPS13B and a Denisovan introgressed region in facial variation. Sci Adv 2021; 7:eabc6160. [PMID: 33547071 PMCID: PMC7864580 DOI: 10.1126/sciadv.abc6160] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 12/17/2020] [Indexed: 05/25/2023]
Abstract
To characterize the genetic basis of facial features in Latin Americans, we performed a genome-wide association study (GWAS) of more than 6000 individuals using 59 landmark-based measurements from two-dimensional profile photographs and ~9,000,000 genotyped or imputed single-nucleotide polymorphisms. We detected significant association of 32 traits with at least 1 (and up to 6) of 32 different genomic regions, more than doubling the number of robustly associated face morphology loci reported until now (from 11 to 23). These GWAS hits are strongly enriched in regulatory sequences active specifically during craniofacial development. The associated region in 1p12 includes a tract of archaic adaptive introgression, with a Denisovan haplotype common in Native Americans affecting particularly lip thickness. Among the nine previously unidentified face morphology loci we identified is the VPS13B gene region, and we show that variants in this region also affect midfacial morphology in mice.
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Affiliation(s)
- Betty Bonfante
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille 13005, France
| | - Pierre Faux
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille 13005, France
| | - Nicolas Navarro
- Biogéosciences, UMR 6282 CNRS, EPHE, Université Bourgogne Franche-Comté, Dijon 21078, France
- EPHE, PSL University, Paris 75014, France
| | - Javier Mendoza-Revilla
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
- Unit of Human Evolutionary Genetics, Institut Pasteur, Paris 75015, France
| | - Morgane Dubied
- Biogéosciences, UMR 6282 CNRS, EPHE, Université Bourgogne Franche-Comté, Dijon 21078, France
| | - Charlotte Montillot
- INSERM UMR 1231 Génétique des Anomalies du Développement, Université Bourgogne Franche-Comté, Dijon 21000, France
| | - Emma Wentworth
- Department of Genetics and Genome Sciences, University of Connecticut Health, Farmington, CT 06030, USA
| | - Lauriane Poloni
- Biogéosciences, UMR 6282 CNRS, EPHE, Université Bourgogne Franche-Comté, Dijon 21078, France
- EPHE, PSL University, Paris 75014, France
| | - Ceferino Varón-González
- Institut de Systématique, Évolution, Biodiversité, ISYEB-UMR 7205-CNRS, MNHN, UPMC, EPHE, UA, Muséum National d'Histoire Naturelle, Sorbonne Universités, Paris 75005, France
| | - Philip Jones
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Ziyi Xiong
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam 3015GD, Netherlands
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica 1000000, Chile
| | - Sagnik Palmal
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille 13005, France
| | - Juan Camilo Chacón-Duque
- Division of Vertebrates and Anthropology, Department of Earth Sciences, Natural History Museum, London SW7 5BD, UK
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Rodrigo Barquera
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City 14050, Mexico
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena 07745, Germany
| | - Paola Everardo-Martínez
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City 14050, Mexico
| | - Mirsha Sánchez-Quinto
- Forensic Science, Faculty of Medicine, UNAM (Universidad Nacional Autónoma de México), Mexico City 06320, Mexico
| | - Jorge Gómez-Valdés
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City 14050, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City 4510, Mexico
| | | | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, SP 05508-090, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brasil
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina
| | - Fan Liu
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam 3015GD, Netherlands
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100864, China
- University of Chinese Academy of Sciences, Beijing 100864, China
| | - Seth M Weinberg
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA 15260, USA
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15260, USA
- Department of Anthropology, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - John R Shaffer
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA 15260, USA
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Evie Stergiakouli
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol BS1 2LY, UK
- School of Oral and Dental Sciences, University of Bristol, Bristol BS1 2LY, UK
| | - Laurence J Howe
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol BS1 2LY, UK
| | - Pirro G Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London, London WC2R 2LS, UK
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London WC2R 2LS, UK
| | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina
| | - Lavinia Schüler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brasil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brasil
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City 14050, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City 4510, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Arica 1000000, Chile
| | - Christel Thauvin-Robinet
- INSERM UMR 1231 Génétique des Anomalies du Développement, Université Bourgogne Franche-Comté, Dijon 21000, France
- Centre de Référence Maladies Rares "Anomalies du Développement et Syndromes Malformatifs" de l'Est, Centre de Génétique, FHU TRANSLAD, CHU Dijon, Dijon 21000, France
| | - Laurence Faivre
- INSERM UMR 1231 Génétique des Anomalies du Développement, Université Bourgogne Franche-Comté, Dijon 21000, France
- Centre de Référence Maladies Rares "Anomalies du Développement et Syndromes Malformatifs" de l'Est, Centre de Génétique, FHU TRANSLAD, CHU Dijon, Dijon 21000, France
| | | | - David Balding
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Melbourne Integrative Genomics, Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, VIC 3052, Australia
| | - Timothy Cox
- Department of Oral and Craniofacial Sciences, School of Dentistry and Department of Pediatrics, School of Medicine, University of Missouri, Kansas City, MO 64108, USA
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam 3015GD, Netherlands
| | - Laurence Duplomb
- INSERM UMR 1231 Génétique des Anomalies du Développement, Université Bourgogne Franche-Comté, Dijon 21000, France
| | - Binnaz Yalcin
- INSERM UMR 1231 Génétique des Anomalies du Développement, Université Bourgogne Franche-Comté, Dijon 21000, France
| | - Justin Cotney
- Department of Genetics and Genome Sciences, University of Connecticut Health, Farmington, CT 06030, USA
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes MK7 6AA, UK.
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Andrés Ruiz-Linares
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille 13005, France.
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, China
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15
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Single RM, Meyer D, Nunes K, Francisco RS, Hünemeier T, Maiers M, Hurley CK, Bedoya G, Gallo C, Hurtado AM, Llop E, Petzl-Erler ML, Poletti G, Rothhammer F, Tsuneto L, Klitz W, Ruiz-Linares A. Demographic history and selection at HLA loci in Native Americans. PLoS One 2020; 15:e0241282. [PMID: 33147239 PMCID: PMC7641399 DOI: 10.1371/journal.pone.0241282] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 10/12/2020] [Indexed: 12/22/2022] Open
Abstract
The American continent was the last to be occupied by modern humans, and native populations bear the marks of recent expansions, bottlenecks, natural selection, and population substructure. Here we investigate how this demographic history has shaped genetic variation at the strongly selected HLA loci. In order to disentangle the relative contributions of selection and demography process, we assembled a dataset with genome-wide microsatellites and HLA-A, -B, -C, and -DRB1 typing data for a set of 424 Native American individuals. We find that demographic history explains a sizeable fraction of HLA variation, both within and among populations. A striking feature of HLA variation in the Americas is the existence of alleles which are present in the continent but either absent or very rare elsewhere in the world. We show that this feature is consistent with demographic history (i.e., the combination of changes in population size associated with bottlenecks and subsequent population expansions). However, signatures of selection at HLA loci are still visible, with significant evidence selection at deeper timescales for most loci and populations, as well as population differentiation at HLA loci exceeding that seen at neutral markers.
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Affiliation(s)
- Richard M. Single
- Department of Mathematics and Statistics, University of Vermont, Burlington, Vermont, United States of America
- * E-mail:
| | - Diogo Meyer
- Departmento de Genética e Biologia Evolutiva, Universidade de São Paulo, São Paulo, Brazil
| | - Kelly Nunes
- Departmento de Genética e Biologia Evolutiva, Universidade de São Paulo, São Paulo, Brazil
| | | | - Tábita Hünemeier
- Departmento de Genética e Biologia Evolutiva, Universidade de São Paulo, São Paulo, Brazil
| | - Martin Maiers
- Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota, United States of America
| | - Carolyn K. Hurley
- CW Bill Young Marrow Donor Recruitment and Research Program, Georgetown University, Washington, DC, United States of America
| | - Gabriel Bedoya
- Instituto de Biología, Universidad de Antioquia Medellín, Medellín, Colombia
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Ana Magdalena Hurtado
- School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, United States of America
| | - Elena Llop
- Programa de Genética Humana, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | | | - Giovanni Poletti
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Francisco Rothhammer
- Programa de Genética Humana, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Instituto de Alta Investigación, Tarapacá University, Arica, Chile
| | - Luiza Tsuneto
- Department of Basic Health Sciences, Universidade Estadual de Maringá, Maringá, Paraná, Brazil
| | - William Klitz
- Department of Integrative Biology, University of California, Berkeley, California, United States of America
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
- CNRS, EFS, ADES, D Aix-Marseille University, Marseille, France
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16
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Romero-Hidalgo S, Flores-Rivera J, Rivas-Alonso V, Barquera R, Villarreal-Molina MT, Antuna-Puente B, Macias-Kauffer LR, Villalobos-Comparán M, Ortiz-Maldonado J, Yu N, Lebedeva TV, Alosco SM, García-Rodríguez JD, González-Torres C, Rosas-Madrigal S, Ordoñez G, Guerrero-Camacho JL, Treviño-Frenk I, Escamilla-Tilch M, García-Lechuga M, Tovar-Méndez VH, Pacheco-Ubaldo H, Acuña-Alonzo V, Bortolini MC, Gallo C, Bedoya G, Rothhammer F, González-Jose R, Ruiz-Linares A, Canizales-Quinteros S, Yunis E, Granados J, Corona T. Native American ancestry significantly contributes to neuromyelitis optica susceptibility in the admixed Mexican population. Sci Rep 2020; 10:13706. [PMID: 32792643 PMCID: PMC7426416 DOI: 10.1038/s41598-020-69224-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 06/30/2020] [Indexed: 01/05/2023] Open
Abstract
Neuromyelitis Optica (NMO) is an autoimmune disease with a higher prevalence in non-European populations. Because the Mexican population resulted from the admixture between mainly Native American and European populations, we used genome-wide microarray, HLA high-resolution typing and AQP4 gene sequencing data to analyze genetic ancestry and to seek genetic variants conferring NMO susceptibility in admixed Mexican patients. A total of 164 Mexican NMO patients and 1,208 controls were included. On average, NMO patients had a higher proportion of Native American ancestry than controls (68.1% vs 58.6%; p = 5 × 10-6). GWAS identified a HLA region associated with NMO, led by rs9272219 (OR = 2.48, P = 8 × 10-10). Class II HLA alleles HLA-DQB1*03:01, -DRB1*08:02, -DRB1*16:02, -DRB1*14:06 and -DQB1*04:02 showed the most significant associations with NMO risk. Local ancestry estimates suggest that all the NMO-associated alleles within the HLA region are of Native American origin. No novel or missense variants in the AQP4 gene were found in Mexican patients with NMO or multiple sclerosis. To our knowledge, this is the first study supporting the notion that Native American ancestry significantly contributes to NMO susceptibility in an admixed population, and is consistent with differences in NMO epidemiology in Mexico and Latin America.
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Affiliation(s)
- Sandra Romero-Hidalgo
- Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica (INMEGEN), 14610, Mexico City, Mexico.
| | - José Flores-Rivera
- Laboratorio Clínico de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez" (INNN), 14269, Mexico City, Mexico
| | - Verónica Rivas-Alonso
- Laboratorio Clínico de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez" (INNN), 14269, Mexico City, Mexico
| | - Rodrigo Barquera
- Molecular Genetics Laboratory, National School of Anthropology and History, 14030, Mexico City, Mexico.,Department of Archaeogenetics, Max Planck Institute for the Science of Human History, 07745, Jena, Germany
| | | | | | - Luis Rodrigo Macias-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a La Salud, Facultad de Química, UNAM/INMEGEN, 04510, Mexico City, Mexico
| | - Marisela Villalobos-Comparán
- Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica (INMEGEN), 14610, Mexico City, Mexico
| | - Jair Ortiz-Maldonado
- Laboratorio Clínico de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez" (INNN), 14269, Mexico City, Mexico
| | - Neng Yu
- HLA Laboratory, The American Red Cross Northeast Division, Dedham, MA, 02026, USA
| | - Tatiana V Lebedeva
- HLA Laboratory, The American Red Cross Northeast Division, Dedham, MA, 02026, USA
| | - Sharon M Alosco
- HLA Laboratory, The American Red Cross Northeast Division, Dedham, MA, 02026, USA
| | - Juan Daniel García-Rodríguez
- Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica (INMEGEN), 14610, Mexico City, Mexico
| | | | | | | | | | - Irene Treviño-Frenk
- Department of Neurology, Instituto Nacional de Ciencias Medicas y Nutrición "Salvador Zubirán" (INCMNSZ), 14080, Mexico City, Mexico.,Neurologic Center, ABC Medical Center, Mexico City, Mexico
| | | | | | | | - Hanna Pacheco-Ubaldo
- Molecular Genetics Laboratory, National School of Anthropology and History, 14030, Mexico City, Mexico
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, National School of Anthropology and History, 14030, Mexico City, Mexico
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, 91501-970, Brasil
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Peru
| | - Gabriel Bedoya
- GENMOL (Genetica Molecular), Universidad de Antioquia, 5001000, Medellin, Colombia
| | - Francisco Rothhammer
- Departamento de Tecnología Médica, Facultad de Ciencias de La Salud, Universidad de Tarapaca, 1000009, Arica, Chile
| | - Rolando González-Jose
- Centro Nacional Patagónico, CONICET, Unidad de Diversidad, Sistematica Y Evolucion, Puerto Madryn U912OACD, Argentina
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a La Salud, Facultad de Química, UNAM/INMEGEN, 04510, Mexico City, Mexico
| | - Edmond Yunis
- Department of Cancer Immunology and Virology, Dana Farber Cancer Institute, Boston, MA, 02215, USA
| | - Julio Granados
- Department of Transplantation, INCMNSZ, 14080, Mexico City, Mexico.
| | - Teresa Corona
- Laboratorio Clínico de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez" (INNN), 14269, Mexico City, Mexico.
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17
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Barquera R, Hernández-Zaragoza DI, Bravo-Acevedo A, Arrieta-Bolaños E, Clayton S, Acuña-Alonzo V, Martínez-Álvarez JC, López-Gil C, Adalid-Sáinz C, Vega-Martínez MDR, Escobedo-Ruíz A, Juárez-Cortés ED, Immel A, Pacheco-Ubaldo H, González-Medina L, Lona-Sánchez A, Lara-Riegos J, Sánchez-Fernández MGDJ, Díaz-López R, Guizar-López GU, Medina-Escobedo CE, Arrazola-García MA, Montiel-Hernández GD, Hernández-Hernández O, Ramos-de la Cruz FDR, Juárez-Nicolás F, Pantoja-Torres JA, Rodríguez-Munguía TJ, Juárez-Barreto V, Delgado-Aguirre H, Escutia-González AB, Goné-Vázquez I, Benítez-Arvizu G, Arellano-Prado FP, García-Arias VE, Rodríguez-López ME, Méndez-Mani P, García-Álvarez R, González-Martínez MDR, Aquino-Rubio G, Escareño-Montiel N, Vázquez-Castillo TV, Uribe-Duarte MG, Ruíz-Corral MDJ, Ortega-Yáñez A, Bernal-Felipe N, Gómez-Navarro B, Arriaga-Perea AJ, Martínez-Bezies V, Macías-Medrano RM, Aguilar-Campos JA, Solís-Martínez R, Serrano-Osuna R, Sandoval-Sandoval MJ, Jaramillo-Rodríguez Y, Salgado-Adame A, Juárez-de la Cruz F, Novelo-Garza B, Pavón-Vargas MDLÁ, Salgado-Galicia N, Bortolini MC, Gallo C, Bedoya G, Rothhammer F, González-José R, Ruiz-Linares A, Canizales-Quinteros S, Romero-Hidalgo S, Krause J, Zúñiga J, Yunis EJ, Bekker-Méndez C, Granados J. The immunogenetic diversity of the HLA system in Mexico correlates with underlying population genetic structure. Hum Immunol 2020; 81:461-474. [PMID: 32651014 DOI: 10.1016/j.humimm.2020.06.008] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 12/15/2022]
Abstract
We studied HLA class I (HLA-A, -B) and class II (HLA-DRB1, -DQB1) allele groups and alleles by PCR-SSP based typing in a total of 15,318 mixed ancestry Mexicans from all the states of the country divided into 78 sample sets, providing information regarding allelic and haplotypic frequencies and their linkage disequilibrium, as well as admixture estimates and genetic substructure. We identified the presence of 4268 unique HLA extended haplotypes across Mexico and find that the ten most frequent (HF > 1%) HLA haplotypes with significant linkage disequilibrium (Δ'≥0.1) in Mexico (accounting for 20% of the haplotypic diversity of the country) are of primarily Native American ancestry (A*02~B*39~DRB1*04~DQB1*03:02, A*02~B*35~DRB1*08~DQB1*04, A*68~B*39~DRB1*04~DQB1*03:02, A*02~B*35~DRB1*04~DQB1*03:02, A*24~B*39~DRB1*14~DQB1*03:01, A*24~B*35~DRB1*04~DQB1*03:02, A*24~B*39~DRB1*04~DQB1*03:02, A*02~B*40:02~DRB1*04~DQB1*03:02, A*68~B*35~DRB1*04~DQB1*03:02, A*02~B*15:01~DRB1*04~DQB1*03:02). Admixture estimates obtained by a maximum likelihood method using HLA-A/-B/-DRB1 as genetic estimators revealed that the main genetic components in Mexico as a whole are Native American (ranging from 37.8% in the northern part of the country to 81.5% in the southeastern region) and European (ranging from 11.5% in the southeast to 62.6% in northern Mexico). African admixture ranged from 0.0 to 12.7% not following any specific pattern. We were able to detect three major immunogenetic clusters correlating with genetic diversity and differential admixture within Mexico: North, Central and Southeast, which is in accordance with previous reports using genome-wide data. Our findings provide insights into the population immunogenetic substructure of the whole country and add to the knowledge of mixed ancestry Latin American population genetics, important for disease association studies, detection of demographic signatures on population variation and improved allocation of public health resources.
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Affiliation(s)
- Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Germany; Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico.
| | - Diana Iraíz Hernández-Zaragoza
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico; Immunogenetics Unit, Técnicas Genéticas Aplicadas a la Clínica (TGAC), Mexico City, Mexico
| | - Alicia Bravo-Acevedo
- Blood Bank, UMAE Hospital de Gineco Obstetricia No. 4 "Luis Castelazo Ayala", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | | | - Stephen Clayton
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Germany
| | - Víctor Acuña-Alonzo
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Julio César Martínez-Álvarez
- HLA Laboratory, Central Blood Bank, Hospital de Especialidades, Unidad Médica de Alta Especialidad (UMAE), Centro Médico Nacional "Siglo XXI", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Concepción López-Gil
- Histocompatibility Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 6, Instituto Mexicano del Seguro Social (IMSS), Puebla, Puebla, Mexico
| | - Carmen Adalid-Sáinz
- Laboratory of Histocompatibility, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | - María Del Rosario Vega-Martínez
- Molecular Biology and Histocompatibility Laboratory, Hospital Central Sur de Alta Especialidad, Petróleos Mexicanos (PEMEX), Mexico City, Mexico
| | - Araceli Escobedo-Ruíz
- Histocompatibility Laboratory, Hospital de Especialidades, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Eva Dolores Juárez-Cortés
- Histocompatibility Laboratory, Central Blood Bank, Centro Médico Nacional "La Raza", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Alexander Immel
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Germany; Institute of Clinical Molecular Biology (IKMB), Kiel University, University Hospital, Schleswig-Holstein, Germany
| | - Hanna Pacheco-Ubaldo
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Liliana González-Medina
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Abraham Lona-Sánchez
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Julio Lara-Riegos
- Chemistry Faculty, Universidad Autónoma de Yucatán (UADY), Mérida, Yucatán, Mexico
| | - María Guadalupe de Jesús Sánchez-Fernández
- Department of Nephrology and Transplantation Unit, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Rosario Díaz-López
- Molecular Biology Laboratory, Hospital Central Militar, Secretaría de la Defensa Nacional (SEDENA), Mexico City, Mexico
| | - Gregorio Ulises Guizar-López
- Molecular Biology Laboratory, Hospital Central Militar, Secretaría de la Defensa Nacional (SEDENA), Mexico City, Mexico
| | - Carolina Elizabeth Medina-Escobedo
- Unit of Research and Education in Health, Unidad Médica de Alta Especialidad (UMAE) # 10, Instituto Mexicano del Seguro Social (IMSS), Mérida, Yucatán, Mexico
| | - María Araceli Arrazola-García
- HLA Laboratory, Central Blood Bank, Hospital de Especialidades, Unidad Médica de Alta Especialidad (UMAE), Centro Médico Nacional "Siglo XXI", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | | | | | - Flor Del Rocío Ramos-de la Cruz
- Histocompatibility Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 6, Instituto Mexicano del Seguro Social (IMSS), Puebla, Puebla, Mexico
| | | | - Jorge Arturo Pantoja-Torres
- Immunology Division, Unidad Médica de Alta Especialidad (UMAE) # 1, Instituto Mexicano del Seguro Social (IMSS), León, Guanajuato, Mexico
| | - Tirzo Jesús Rodríguez-Munguía
- Molecular Biology Laboratory, Hospital General "Norberto Treviño Zapata", Dirección de Servicios de Salud de Tamaulipas, Ciudad Victoria, Tamaulipas, Mexico
| | | | - Héctor Delgado-Aguirre
- Laboratory of Histocompatibility, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | | | - Isis Goné-Vázquez
- Histocompatibility Laboratory, Hospital de Especialidades, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Gamaliel Benítez-Arvizu
- HLA Laboratory, Central Blood Bank, Hospital de Especialidades, Unidad Médica de Alta Especialidad (UMAE), Centro Médico Nacional "Siglo XXI", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Francia Paulina Arellano-Prado
- Pediatrics Hospital, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Víctor Eduardo García-Arias
- Pediatrics Hospital, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Marla Estefanía Rodríguez-López
- Pediatrics Hospital, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Patricia Méndez-Mani
- Histocompatibility Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 6, Instituto Mexicano del Seguro Social (IMSS), Puebla, Puebla, Mexico
| | - Raquel García-Álvarez
- Pharmacology Laboratory, Research Unit, Instituto Nacional de Pediatría (INP), Mexico City, Mexico
| | | | - Guadalupe Aquino-Rubio
- Molecular Biology Laboratory, Hospital General "Norberto Treviño Zapata", Dirección de Servicios de Salud de Tamaulipas, Ciudad Victoria, Tamaulipas, Mexico
| | - Néstor Escareño-Montiel
- Department of Transplantation, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | | | - María Guadalupe Uribe-Duarte
- Clinical Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 2, Instituto Mexicano del Seguro Social (IMSS), Ciudad Obregón, Sonora, Mexico
| | - María de Jesús Ruíz-Corral
- Clinical Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 2, Instituto Mexicano del Seguro Social (IMSS), Ciudad Obregón, Sonora, Mexico
| | - Andrea Ortega-Yáñez
- Department of Development Genetics and Molecular Physiology, Instituto de Biotecnología (IBT), Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Morelos, Mexico
| | | | - Benjamín Gómez-Navarro
- Central Office of Nephrology, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Agustín Jericó Arriaga-Perea
- Histocompatibility Laboratory, Central Blood Bank, Centro Médico Nacional "La Raza", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | | | - Rosa María Macías-Medrano
- Histocompatibility Laboratory, Central Blood Bank, Centro Médico Nacional "La Raza", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Jesús Abraham Aguilar-Campos
- Clinical Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 2, Instituto Mexicano del Seguro Social (IMSS), Ciudad Obregón, Sonora, Mexico
| | - Raúl Solís-Martínez
- Department of Molecular Biology, Laboratorios Diagnóstica, Villahermosa, Tabasco, Mexico
| | - Ricardo Serrano-Osuna
- Clinical Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 2, Instituto Mexicano del Seguro Social (IMSS), Ciudad Obregón, Sonora, Mexico
| | - Mario J Sandoval-Sandoval
- Central Office of Transplantation, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico; Health Research Division, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | - Yolanda Jaramillo-Rodríguez
- Direction of Health Education and Research, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | - Antonio Salgado-Adame
- Direction of Health Education and Research, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | - Federico Juárez-de la Cruz
- Department of Transplantation, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | - Bárbara Novelo-Garza
- Medical Infrastructure Planning Committee, Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - María de Los Ángeles Pavón-Vargas
- Histocompatibility Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 6, Instituto Mexicano del Seguro Social (IMSS), Puebla, Puebla, Mexico
| | - Norma Salgado-Galicia
- Molecular Biology and Histocompatibility Laboratory, Hospital Central Sur de Alta Especialidad, Petróleos Mexicanos (PEMEX), Mexico City, Mexico
| | - Maria Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Gabriel Bedoya
- Genética Molecular (GENMOL, Universidad de Antioquia, Medellín, Colombia
| | - Francisco Rothhammer
- Programa de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile; Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, China; Aix-Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Sandra Romero-Hidalgo
- Department of Computational Genomics, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Germany
| | - Joaquín Zúñiga
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico
| | - Edmond J Yunis
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Carolina Bekker-Méndez
- Immunology and Infectology Research Unit, Infectology Hospital, Centro Médico Nacional "La Raza", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Julio Granados
- Department of Transplantation, Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán" (INCMNSZ), Mexico City, Mexico.
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18
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Adhikari K, Mendoza-Revilla J, Sohail A, Fuentes-Guajardo M, Lampert J, Chacón-Duque JC, Hurtado M, Villegas V, Granja V, Acuña-Alonzo V, Jaramillo C, Arias W, Lozano RB, Everardo P, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Hunemeier T, Ramallo V, Schuler-Faccini L, Salzano FM, Gonzalez-José R, Bortolini MC, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Tobin DJ, Fumagalli M, Balding D, Ruiz-Linares A. A GWAS in Latin Americans highlights the convergent evolution of lighter skin pigmentation in Eurasia. Nat Commun 2019; 10:358. [PMID: 30664655 PMCID: PMC6341102 DOI: 10.1038/s41467-018-08147-0] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 12/20/2018] [Indexed: 12/17/2022] Open
Abstract
We report a genome-wide association scan in >6,000 Latin Americans for pigmentation of skin and eyes. We found eighteen signals of association at twelve genomic regions. These include one novel locus for skin pigmentation (in 10q26) and three novel loci for eye pigmentation (in 1q32, 20q13 and 22q12). We demonstrate the presence of multiple independent signals of association in the 11q14 and 15q13 regions (comprising the GRM5/TYR and HERC2/OCA2 genes, respectively) and several epistatic interactions among independently associated alleles. Strongest association with skin pigmentation at 19p13 was observed for an Y182H missense variant (common only in East Asians and Native Americans) in MFSD12, a gene recently associated with skin pigmentation in Africans. We show that the frequency of the derived allele at Y182H is significantly correlated with lower solar radiation intensity in East Asia and infer that MFSD12 was under selection in East Asians, probably after their split from Europeans. Pigmentation variation in humans is influenced by complex genetic architecture in different populations. Here, the authors perform a genome-wide association analysis involving > 6,000 Latin Americans for pigmentation of skin and eyes, and identify known and novel genetic associations.
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Affiliation(s)
- Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.,Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Anood Sohail
- Department of Genetics, Cambridge University, Cambridge, CB2 3EH, UK
| | - Macarena Fuentes-Guajardo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.,Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, 1000000, Chile
| | - Jodie Lampert
- Department of Genetics and Genome Biology, University of Leicester, Leicester, LE1 7RH, UK
| | - Juan Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.,National Institute of Anthropology and History, Mexico City, 4510, Mexico
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - Rodrigo Barquera Lozano
- National Institute of Anthropology and History, Mexico City, 4510, Mexico.,Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, 07745, Germany
| | - Paola Everardo
- National Institute of Anthropology and History, Mexico City, 4510, Mexico
| | - Jorge Gómez-Valdés
- National Institute of Anthropology and History, Mexico City, 4510, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, 4510, Mexico
| | - Caio C Silva de Cerqueira
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Tábita Hunemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil.,Instituto Patagonico de Ciencias Sociales y Humanas, Centro Nacional Patagonico, CONICET, Puerto Madryn, U9129ACD, Argentina
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Francisco M Salzano
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Rolando Gonzalez-José
- Instituto Patagonico de Ciencias Sociales y Humanas, Centro Nacional Patagonico, CONICET, Puerto Madryn, U9129ACD, Argentina
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, 4510, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapaca, Arica, 1000000, Chile.,Programa de Genetica Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, 8320000, Chile
| | - Desmond J Tobin
- Centre for Skin Sciences, Faculty of Life Sciences, University of Bradford, Bradford, BD7 1DP, West Yorkshire, UK.,The Charles Institute of Dermatology, University College Dublin, Dublin, D4, Ireland
| | - Matteo Fumagalli
- Department of Life Sciences, Silwood Park campus, Imperial College London, Ascot, SL5 7PY, UK
| | - David Balding
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.,Melbourne Integrative Genomics, Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, 200438, China. .,Aix-Marseille Université, CNRS, EFS, ADES, Marseille, 13005, France.
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19
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Liu F, Chen Y, Zhu G, Hysi PG, Wu S, Adhikari K, Breslin K, Pospiech E, Hamer MA, Peng F, Muralidharan C, Acuna-Alonzo V, Canizales-Quinteros S, Bedoya G, Gallo C, Poletti G, Rothhammer F, Bortolini MC, Gonzalez-Jose R, Zeng C, Xu S, Jin L, Uitterlinden AG, Ikram MA, van Duijn CM, Nijsten T, Walsh S, Branicki W, Wang S, Ruiz-Linares A, Spector TD, Martin NG, Medland SE, Kayser M. Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair. Hum Mol Genet 2019; 27:559-575. [PMID: 29220522 PMCID: PMC5886212 DOI: 10.1093/hmg/ddx416] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 11/29/2017] [Indexed: 01/18/2023] Open
Abstract
Shape variation of human head hair shows striking variation within and between human populations, while its genetic basis is far from being understood. We performed a series of genome-wide association studies (GWASs) and replication studies in a total of 28 964 subjects from 9 cohorts from multiple geographic origins. A meta-analysis of three European GWASs identified 8 novel loci (1p36.23 ERRFI1/SLC45A1, 1p36.22 PEX14, 1p36.13 PADI3, 2p13.3 TGFA, 11p14.1 LGR4, 12q13.13 HOXC13, 17q21.2 KRTAP, and 20q13.33 PTK6), and confirmed 4 previously known ones (1q21.3 TCHH/TCHHL1/LCE3E, 2q35 WNT10A, 4q21.21 FRAS1, and 10p14 LINC00708/GATA3), all showing genome-wide significant association with hair shape (P < 5e-8). All except one (1p36.22 PEX14) were replicated with nominal significance in at least one of the 6 additional cohorts of European, Native American and East Asian origins. Three additional previously known genes (EDAR, OFCC1, and PRSS53) were confirmed at the nominal significance level. A multivariable regression model revealed that 14 SNPs from different genes significantly and independently contribute to hair shape variation, reaching a cross-validated AUC value of 0.66 (95% CI: 0.62–0.70) and an AUC value of 0.64 in an independent validation cohort, providing an improved accuracy compared with a previous model. Prediction outcomes of 2504 individuals from a multiethnic sample were largely consistent with general knowledge on the global distribution of hair shape variation. Our study thus delivers target genes and DNA variants for future functional studies to further evaluate the molecular basis of hair shape in humans.
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Affiliation(s)
- Fan Liu
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.,University of Chinese Academy of Sciences, Beijing, China
| | - Yan Chen
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Pirro G Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Sijie Wu
- University of Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Kaustubh Adhikari
- Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK
| | - Krystal Breslin
- Department of Biology, Indiana-University-Purdue-University-Indianapolis (IUPUI), Indianapolis, IN, USA
| | - Ewelina Pospiech
- Institute of Zoology and Biomedical Research, Faculty of Biology and Earth Sciences, Jagiellonian University, Kraków, Poland.,Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland
| | - Merel A Hamer
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Fuduan Peng
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Charanya Muralidharan
- Department of Biology, Indiana-University-Purdue-University-Indianapolis (IUPUI), Indianapolis, IN, USA
| | - Victor Acuna-Alonzo
- Laboratorio de Genética Molecular, Escuela Nacional de Antropologia e Historia, México City, México
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City, México
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | | | - Maria Catira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil
| | - Rolando Gonzalez-Jose
- Instituto Patagónico de Ciencias Sociales y Humanas, CENPAT-CONICET, Puerto Madryn, Argentina
| | - Changqing Zeng
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Shuhua Xu
- University of Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Li Jin
- University of Chinese Academy of Sciences, Beijing, China.,State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Susan Walsh
- Department of Biology, Indiana-University-Purdue-University-Indianapolis (IUPUI), Indianapolis, IN, USA
| | - Wojciech Branicki
- Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.,Central Forensic Laboratory of the Police, Warsaw, Poland
| | - Sijia Wang
- University of Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK.,Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, China.,Laboratory of Biocultural Anthropology, Law, Ethics, and Health (Centre National de la Recherche Scientifique and Etablissement Français du Sang), Aix-Marseille Université, Marseille, France
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
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20
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Chacón-Duque JC, Adhikari K, Fuentes-Guajardo M, Mendoza-Revilla J, Acuña-Alonzo V, Barquera R, Quinto-Sánchez M, Gómez-Valdés J, Everardo Martínez P, Villamil-Ramírez H, Hünemeier T, Ramallo V, Silva de Cerqueira CC, Hurtado M, Villegas V, Granja V, Villena M, Vásquez R, Llop E, Sandoval JR, Salazar-Granara AA, Parolin ML, Sandoval K, Peñaloza-Espinosa RI, Rangel-Villalobos H, Winkler CA, Klitz W, Bravi C, Molina J, Corach D, Barrantes R, Gomes V, Resende C, Gusmão L, Amorim A, Xue Y, Dugoujon JM, Moral P, González-José R, Schuler-Faccini L, Salzano FM, Bortolini MC, Canizales-Quinteros S, Poletti G, Gallo C, Bedoya G, Rothhammer F, Balding D, Hellenthal G, Ruiz-Linares A. Latin Americans show wide-spread Converso ancestry and imprint of local Native ancestry on physical appearance. Nat Commun 2018; 9:5388. [PMID: 30568240 PMCID: PMC6300600 DOI: 10.1038/s41467-018-07748-z] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Accepted: 11/19/2018] [Indexed: 12/15/2022] Open
Abstract
Historical records and genetic analyses indicate that Latin Americans trace their ancestry mainly to the intermixing (admixture) of Native Americans, Europeans and Sub-Saharan Africans. Using novel haplotype-based methods, here we infer sub-continental ancestry in over 6,500 Latin Americans and evaluate the impact of regional ancestry variation on physical appearance. We find that Native American ancestry components in Latin Americans correspond geographically to the present-day genetic structure of Native groups, and that sources of non-Native ancestry, and admixture timings, match documented migratory flows. We also detect South/East Mediterranean ancestry across Latin America, probably stemming mostly from the clandestine colonial migration of Christian converts of non-European origin (Conversos). Furthermore, we find that ancestry related to highland (Central Andean) versus lowland (Mapuche) Natives is associated with variation in facial features, particularly nose morphology, and detect significant differences in allele frequencies between these groups at loci previously associated with nose morphology in this sample.
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Affiliation(s)
- Juan-Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
| | - Macarena Fuentes-Guajardo
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, 1000009, Chile
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia, Mexico City, 14030, Mexico
| | - Rodrigo Barquera
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia, Mexico City, 14030, Mexico
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, 07745, Germany
| | - Mirsha Quinto-Sánchez
- Ciencia Forense, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, 04510, Mexico
| | - Jorge Gómez-Valdés
- Posgrado en Antropología Física, Escuela Nacional de Antropología e Historia, Mexico City, 14030, Mexico
| | - Paola Everardo Martínez
- Posgrado en Antropología, Universidad Nacional Autónoma de México, Mexico City, 04510, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, 04510, Mexico
| | - Tábita Hünemeier
- Departamento de Genética e Biología Evolutiva, Instituto de Biociências, Universidade de São Paulo, Sao Paulo, 05508-090, Brazil
| | - Virginia Ramallo
- Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, U912OACD, Argentina
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Caio C Silva de Cerqueira
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Mercedes Villena
- Instituto Boliviano de Biología de Altura (IBBA), Universidad Mayor de San Andrés (UMSA), La Paz, 2070, Bolivia
| | - René Vásquez
- Instituto Boliviano de Biología de Altura (IBBA), Universidad Autónoma Tomás Frías, Potosí, 53820, Bolivia
| | - Elena Llop
- Programa de Genetica Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, 1027, Chile
| | - José R Sandoval
- Facultad de Medicina Humana, Universidad de San Martín de Porres, Lima, 12, Peru
| | | | - Maria-Laura Parolin
- Instituto de Diversidad y Evolución Austral (IDEAus), Centro Nacional Patagónico, CONICET, Puerto Madryn, U912OACD, Argentina
| | - Karla Sandoval
- National Laboratory of Genomics and Biodiversity (LANGEBIO), CINVESTAV, Irapuato, 36821, Mexico
| | - Rosenda I Peñaloza-Espinosa
- Department of Biological Systems, Division of Biological and Health Sciences, Universidad Autónoma Metropolitana-Xochimilco, Mexico City, 04960, Mexico
| | - Hector Rangel-Villalobos
- Instituto de Investigación en Genética Molecular, Universidad de Guadalajara, Ocotlán, 1115, Mexico
| | - Cheryl A Winkler
- Basic Research Laboratory, National Cancer Institute, Frederick National Laboratory, Frederick, MD, 21702, USA
| | - William Klitz
- Integrative Biology, University of California, Berkeley, CA, 94720, USA
| | - Claudio Bravi
- Instituto Multidisciplinario de Biología Celular, CONICET, La Plata, B1906APO, Argentina
| | - Julio Molina
- Centro de Investigaciones Biomédicas de Guatemala, Ciudad de Guatemala, 01011, Guatemala
| | - Daniel Corach
- Servicio de Huellas Digitales Genéticas and CONICET, Universidad de Buenos Aires, Buenos Aires, C1113AAD, Argentina
| | - Ramiro Barrantes
- Escuela de Biología, Universidad de Costa Rica, San José, 2060, Costa Rica
| | - Verónica Gomes
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, 4200-135, Portugal
- Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, 4200-135, Portugal
| | - Carlos Resende
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, 4200-135, Portugal
- Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, 4200-135, Portugal
| | - Leonor Gusmão
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, 4200-135, Portugal
- Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, 4200-135, Portugal
- DNA Diagnostic Laboratory (LDD), Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 23968-000, Brazil
| | - Antonio Amorim
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Porto, 4200-135, Portugal
- Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, 4200-135, Portugal
- Faculdade de Ciências, Universidade do Porto, Porto, 4169-007, Portugal
| | - Yali Xue
- The Wellcome Trust Sanger Institute, Hinxton, CB10 1SA, UK
| | - Jean-Michel Dugoujon
- Centre National de la Recherche Scientifique, Université Toulouse 3 Paul Sabatier, Toulouse, 31330, France
| | - Pedro Moral
- Departamento de Biología Evolutiva, Ecología y Ciencias Ambientales, Universitat de Barcelona, Barcelona, 08007, Spain
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, U912OACD, Argentina
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Francisco M Salzano
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Brazil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, 04510, Mexico
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Peru
| | - Gabriel Bedoya
- Genética Molecular (GENMOL), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - Francisco Rothhammer
- Programa de Genetica Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, 1027, Chile
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, 1000009, Chile
| | - David Balding
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK
- Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Garrett Hellenthal
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, 200433, China.
- Aix-Marseille Univ, CNRS, EFS, ADES, Marseille, 13007, France.
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21
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Mooney JA, Huber CD, Service S, Sul JH, Marsden CD, Zhang Z, Sabatti C, Ruiz-Linares A, Bedoya G, Freimer N, Lohmueller KE. Understanding the Hidden Complexity of Latin American Population Isolates. Am J Hum Genet 2018; 103:707-726. [PMID: 30401458 PMCID: PMC6218714 DOI: 10.1016/j.ajhg.2018.09.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Accepted: 09/26/2018] [Indexed: 12/12/2022] Open
Abstract
Most population isolates examined to date were founded from a single ancestral population. Consequently, there is limited knowledge about the demographic history of admixed population isolates. Here we investigate genomic diversity of recently admixed population isolates from Costa Rica and Colombia and compare their diversity to a benchmark population isolate, the Finnish. These Latin American isolates originated during the 16th century from admixture between a few hundred European males and Amerindian females, with a limited contribution from African founders. We examine whole-genome sequence data from 449 individuals, ascertained as families to build mutigenerational pedigrees, with a mean sequencing depth of coverage of approximately 36×. We find that Latin American isolates have increased genetic diversity relative to the Finnish. However, there is an increase in the amount of identity by descent (IBD) segments in the Latin American isolates relative to the Finnish. The increase in IBD segments is likely a consequence of a very recent and severe population bottleneck during the founding of the admixed population isolates. Furthermore, the proportion of the genome that falls within a long run of homozygosity (ROH) in Costa Rican and Colombian individuals is significantly greater than that in the Finnish, suggesting more recent consanguinity in the Latin American isolates relative to that seen in the Finnish. Lastly, we find that recent consanguinity increased the number of deleterious variants found in the homozygous state, which is relevant if deleterious variants are recessive. Our study suggests that there is no single genetic signature of a population isolate.
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Affiliation(s)
- Jazlyn A Mooney
- Department of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Christian D Huber
- Department of Ecology & Evolutionary Biology, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Susan Service
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Jae Hoon Sul
- Department of Psychiatry and Biobehavioral Sciences, Semel Center for Informatics and Personalized Genomics, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Clare D Marsden
- Department of Ecology & Evolutionary Biology, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Zhongyang Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chiara Sabatti
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA; Department of Statistics, Stanford University, Stanford, CA 94305, USA
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai 200438, China; Aix-Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - Gabriel Bedoya
- Genética Molecular (GENMOL), Universidad de Antioquia, Medellín, Colombia
| | - Nelson Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Kirk E Lohmueller
- Department of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Ecology & Evolutionary Biology, University of California Los Angeles, Los Angeles, CA 90095, USA.
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22
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Shaffer JR, Li J, Lee MK, Roosenboom J, Orlova E, Adhikari K, Gallo C, Poletti G, Schuler-Faccini L, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, González-José R, Pfeffer PE, Wollenschlaeger CA, Hecht JT, Wehby GL, Moreno LM, Ding A, Jin L, Yang Y, Carlson JC, Leslie EJ, Feingold E, Marazita ML, Hinds DA, Cox TC, Wang S, Ruiz-Linares A, Weinberg SM. Multiethnic GWAS Reveals Polygenic Architecture of Earlobe Attachment. Am J Hum Genet 2017; 101:913-924. [PMID: 29198719 PMCID: PMC5812923 DOI: 10.1016/j.ajhg.2017.10.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Accepted: 10/04/2017] [Indexed: 01/08/2023] Open
Abstract
The genetic basis of earlobe attachment has been a matter of debate since the early 20th century, such that geneticists argue both for and against polygenic inheritance. Recent genetic studies have identified a few loci associated with the trait, but large-scale analyses are still lacking. Here, we performed a genome-wide association study of lobe attachment in a multiethnic sample of 74,660 individuals from four cohorts (three with the trait scored by an expert rater and one with the trait self-reported). Meta-analysis of the three expert-rater-scored cohorts revealed six associated loci harboring numerous candidate genes, including EDAR, SP5, MRPS22, ADGRG6 (GPR126), KIAA1217, and PAX9. The large self-reported 23andMe cohort recapitulated each of these six loci. Moreover, meta-analysis across all four cohorts revealed a total of 49 significant (p < 5 × 10-8) loci. Annotation and enrichment analyses of these 49 loci showed strong evidence of genes involved in ear development and syndromes with auricular phenotypes. RNA sequencing data from both human fetal ear and mouse second branchial arch tissue confirmed that genes located among associated loci showed evidence of expression. These results provide strong evidence for the polygenic nature of earlobe attachment and offer insights into the biological basis of normal and abnormal ear development.
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Affiliation(s)
- John R Shaffer
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Jinxi Li
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Myoung Keun Lee
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Jasmien Roosenboom
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Ekaterina Orlova
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Kaustabh Adhikari
- Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 430 Cercado de Lima, Peru
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 430 Cercado de Lima, Peru
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México, Instituto Nacional de Medicina Genómica, Mexico City 4510, Mexico
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile; Facultad de Medicina, Universidad de Chile, Santiago 8320000, Chile
| | - Gabriel Bedoya
- Grupo Genética Molecular GENMOL, Universidad de Antioquia, Medellín 050003, Colombia
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Científico Tecnológico, Centro Nacional Patagónico, Consejo Nacional de Investigaciones Científicas y Técnicas, Puerto Madryn U9120, Argentina
| | - Paige E Pfeffer
- Center for Advanced Dental Education, Orthodontics Program, Saint Louis University, St. Louis, MO 63104, USA
| | | | - Jacqueline T Hecht
- Department of Pediatrics, McGovern Medical School, University of Texas, Houston, TX 77030, USA
| | - George L Wehby
- Department of Health Management and Policy, University of Iowa, Iowa City, IA 52246, USA
| | - Lina M Moreno
- Department of Orthodontics, University of Iowa, Iowa City, IA 52242, USA
| | - Anan Ding
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Li Jin
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Yajun Yang
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Jenna C Carlson
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Elizabeth J Leslie
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Eleanor Feingold
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Mary L Marazita
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15219, USA; Clinical and Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - David A Hinds
- 23andMe Inc., 899 West Evelyn Avenue, Mountain View, CA 94041, USA
| | - Timothy C Cox
- Center for Developmental Biology & Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA 98101, USA; Craniofacial Medicine, Department of Pediatrics, University of Washington, Seattle, WA 98195, USA; Department of Anatomy & Developmental Biology, Monash University, Clayton, VIC 3800, Australia
| | - Sijia Wang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China.
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, University College London, London, UK; Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China; Laboratory of Biocultural Anthropology, Law, Ethics, and Health, Centre National de la Recherche Scientifique and Etablissement Français du Sang, UMR 7268, Aix-Marseille University, Marseille 13284, France
| | - Seth M Weinberg
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA 15219, USA; Department of Anthropology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
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23
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Affiliation(s)
- Kaustubh Adhikari
- Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, United Kingdom
| | - Juan Camilo Chacón-Duque
- Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, United Kingdom
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, United Kingdom
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Macarena Fuentes-Guajardo
- Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, United Kingdom
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica 1000009, Chile
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, United Kingdom
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai 200438, China
- Laboratory of Biocultural Anthropology, Law, Ethics, and Health (Centre National de la Recherche Scientifique and Etablissement Français du Sang, UMR-7268), Aix-Marseille University, 13824 Marseille, France
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24
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Quinto-Sánchez M, Cintas C, Silva de Cerqueira CC, Ramallo V, Acuña-Alonzo V, Adhikari K, Castillo L, Gomez-Valdés J, Everardo P, De Avila F, Hünemeier T, Jaramillo C, Arias W, Fuentes M, Gallo C, Poletti G, Schuler-Faccini L, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, Rosique J, Ruiz-Linares A, González-José R. Correction: Socioeconomic Status Is Not Related with Facial Fluctuating Asymmetry: Evidence from Latin-American Populations. PLoS One 2017; 12:e0172418. [PMID: 28192507 PMCID: PMC5305118 DOI: 10.1371/journal.pone.0172418] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0169287.].
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25
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Amorim CEG, Hofer T, Ray N, Foll M, Ruiz-Linares A, Excoffier L. Long-distance dispersal suppresses introgression of local alleles during range expansions. Heredity (Edinb) 2017; 118:135-142. [PMID: 27577693 PMCID: PMC5234476 DOI: 10.1038/hdy.2016.68] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Revised: 07/15/2016] [Accepted: 07/18/2016] [Indexed: 12/24/2022] Open
Abstract
During range expansions, even low levels of interbreeding can lead to massive introgression of local alleles into an invader's genome. Nonetheless, this pattern is not always observed in human populations. For instance, European Americans in North America are barely introgressed by Amerindian genes in spite of known contact and admixture. With coalescent spatially explicit simulations, we examined the impact of long-distance dispersal (LDD) events on introgression of local alleles into the invading population using a set of different demographic scenarios applicable to a diverse range of natural populations and species. More specifically, we consider two distinct LDD models: one where LDD events originate in the range core and targets only the expansion front and a second one where LDD events can occur from any area to any other. We find that LDD generally prevents introgression, but that LDD events specifically targeting the expansion front are most efficient in suppressing introgression. This is likely due to the fact that LDD allows for the presence of a larger number of invader alleles at the wave front, where effective population size is thus increased and local introgressed alleles are rapidly outnumbered. We postulate that the documented settlement of pioneers directly on the wave front in North America has contributed to low levels of Amerindian admixture observed in European Americans and that this phenomenon may well explain the lack of introgression after a range expansion in natural populations without the need to evoke other mechanisms such as natural selection.
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Affiliation(s)
- C E G Amorim
- Department of Biological Sciences,
Columbia University, New York, NY,
USA
- CAPES Foundation, Ministry of
Education of Brazil, Brasília, Distrito
Federal, Brazil
| | - T Hofer
- Computational and Molecular
Population Genetics Lab, Institute of Ecology and Evolution, University of
Bern, Bern, Switzerland
- Swiss Institute of
Bioinformatics, Lausanne, Switzerland
| | - N Ray
- EnviroSPACE Laboratory, Institute for
Environmental Sciences, University of Geneva, Geneva,
Switzerland
| | - M Foll
- Genetic Cancer Susceptibility Group,
International Agency for Research on Cancer, Lyon,
France
| | - A Ruiz-Linares
- Department of Genetics, Evolution and
Environment, University College London, London,
UK
| | - L Excoffier
- Computational and Molecular
Population Genetics Lab, Institute of Ecology and Evolution, University of
Bern, Bern, Switzerland
- Swiss Institute of
Bioinformatics, Lausanne, Switzerland
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26
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Quinto-Sánchez M, Cintas C, Silva de Cerqueira CC, Ramallo V, Acuña-Alonzo V, Adhikari K, Castillo L, Gomez-Valdés J, Everardo P, De Avila F, Hünemeier T, Jaramillo C, Arias W, Fuentes M, Gallo C, Poletti G, Schuler-Faccini L, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, Rosique J, Ruiz-Linares A, González-José R. Socioeconomic Status Is Not Related with Facial Fluctuating Asymmetry: Evidence from Latin-American Populations. PLoS One 2017; 12:e0169287. [PMID: 28060876 PMCID: PMC5218465 DOI: 10.1371/journal.pone.0169287] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 12/14/2016] [Indexed: 11/18/2022] Open
Abstract
The expression of facial asymmetries has been recurrently related with poverty and/or disadvantaged socioeconomic status. Departing from the developmental instability theory, previous approaches attempted to test the statistical relationship between the stress experienced by individuals grown in poor conditions and an increase in facial and corporal asymmetry. Here we aim to further evaluate such hypothesis on a large sample of admixed Latin Americans individuals by exploring if low socioeconomic status individuals tend to exhibit greater facial fluctuating asymmetry values. To do so, we implement Procrustes analysis of variance and Hierarchical Linear Modelling (HLM) to estimate potential associations between facial fluctuating asymmetry values and socioeconomic status. We report significant relationships between facial fluctuating asymmetry values and age, sex, and genetic ancestry, while socioeconomic status failed to exhibit any strong statistical relationship with facial asymmetry. These results are persistent after the effect of heterozygosity (a proxy for genetic ancestry) is controlled in the model. Our results indicate that, at least on the studied sample, there is no relationship between socioeconomic stress (as intended as low socioeconomic status) and facial asymmetries.
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Affiliation(s)
- Mirsha Quinto-Sánchez
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
- Ciencia Forense, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Celia Cintas
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
| | - Caio Cesar Silva de Cerqueira
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
- Ciencia Forense, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México
- Superintendência da Polícia Técnico-Científica do Estado de São Paulo. Equipe de Perícias Criminalísticas de Ourinhos, São Paulo, Brazil
| | - Virginia Ramallo
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
| | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
- Escuela Nacional de Antropología e Historia. Instituto Nacional de Antropología e Historia, Ciudad de México, México
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
| | - Lucía Castillo
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
| | - Jorge Gomez-Valdés
- Posgrado en Antropología Física, Escuela Nacional de Antropología e Historia, Ciudad de México, México
| | - Paola Everardo
- Escuela Nacional de Antropología e Historia. Instituto Nacional de Antropología e Historia, Ciudad de México, México
| | - Francisco De Avila
- Escuela Nacional de Antropología e Historia. Instituto Nacional de Antropología e Historia, Ciudad de México, México
| | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo
| | | | | | - Macarena Fuentes
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
- Departamento de Técnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, Chile
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Giovani Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil
| | - Maria Cátira Bortolini
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Ciudad de México, México
| | | | | | - Javier Rosique
- Departamento de Antropología. Facultad de Ciencias Sociales y Humanas. Universidad de Antioquia, Medellín, Colombia
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom
- MOE Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - Rolando González-José
- Grupo de Investigación en Biología Evolutiva Humana, Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET. Puerto Madryn, Chubut, Argentina
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27
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Adhikari K, Mendoza-Revilla J, Chacón-Duque JC, Fuentes-Guajardo M, Ruiz-Linares A. Admixture in Latin America. Curr Opin Genet Dev 2016; 41:106-114. [PMID: 27690355 DOI: 10.1016/j.gde.2016.09.003] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 09/12/2016] [Accepted: 09/13/2016] [Indexed: 12/18/2022]
Abstract
Latin Americans arguably represent the largest recently admixed populations in the world. This reflects a history of massive settlement by immigrants (mostly Europeans and Africans) and their variable admixture with Natives, starting in 1492. This process resulted in the population of Latin America showing an extensive genetic and phenotypic diversity. Here we review how genetic analyses are being applied to examine the demographic history of this population, including patterns of mating, population structure and ancestry. The admixture history of Latin America, and the resulting extensive diversity of the region, represents a natural experiment offering an advantageous setting for genetic association studies. We review how recent analyses in Latin Americans are contributing to elucidating the genetic architecture of human complex traits.
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Affiliation(s)
- Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Juan Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | | | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK.
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28
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Adhikari K, Fuentes-Guajardo M, Quinto-Sánchez M, Mendoza-Revilla J, Camilo Chacón-Duque J, Acuña-Alonzo V, Jaramillo C, Arias W, Lozano RB, Pérez GM, Gómez-Valdés J, Villamil-Ramírez H, Hunemeier T, Ramallo V, Silva de Cerqueira CC, Hurtado M, Villegas V, Granja V, Gallo C, Poletti G, Schuler-Faccini L, Salzano FM, Bortolini MC, Canizales-Quinteros S, Cheeseman M, Rosique J, Bedoya G, Rothhammer F, Headon D, González-José R, Balding D, Ruiz-Linares A. A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation. Nat Commun 2016; 7:11616. [PMID: 27193062 PMCID: PMC4874031 DOI: 10.1038/ncomms11616] [Citation(s) in RCA: 116] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Accepted: 04/14/2016] [Indexed: 12/28/2022] Open
Abstract
We report a genome-wide association scan for facial features in ∼6,000 Latin Americans. We evaluated 14 traits on an ordinal scale and found significant association (P values<5 × 10−8) at single-nucleotide polymorphisms (SNPs) in four genomic regions for three nose-related traits: columella inclination (4q31), nose bridge breadth (6p21) and nose wing breadth (7p13 and 20p11). In a subsample of ∼3,000 individuals we obtained quantitative traits related to 9 of the ordinal phenotypes and, also, a measure of nasion position. Quantitative analyses confirmed the ordinal-based associations, identified SNPs in 2q12 associated to chin protrusion, and replicated the reported association of nasion position with SNPs in PAX3. Strongest association in 2q12, 4q31, 6p21 and 7p13 was observed for SNPs in the EDAR, DCHS2, RUNX2 and GLI3 genes, respectively. Associated SNPs in 20p11 extend to PAX1. Consistent with the effect of EDAR on chin protrusion, we documented alterations of mandible length in mice with modified Edar funtion. Humans show great diversity in facial appearance and this variation is highly heritable. Here, Andres Ruiz-Linares and colleagues examined facial features in admixed Latin Americans and identify genome-wide associations for 14 facial traits, including four gene loci (RUNX2, GLI3, DCHS2 and PAX1) influencing nose morphology.
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Affiliation(s)
- Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Macarena Fuentes-Guajardo
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK.,Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica 1000009, Chile
| | - Mirsha Quinto-Sánchez
- Centro Nacional Patagónico, CONICET, Unidad de Diversidad, Sistematica y Evolucion, Puerto Madryn U912OACD, Argentina
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK.,Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Juan Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK.,Laboratorio de Genética Molecular, Escuela Nacional de Antropologia e Historia, México City 14030, México
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Rodrigo Barquera Lozano
- Laboratorio de Genética Molecular, Escuela Nacional de Antropologia e Historia, México City 14030, México.,Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City 4510, México
| | - Gastón Macín Pérez
- Laboratorio de Genética Molecular, Escuela Nacional de Antropologia e Historia, México City 14030, México.,Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City 4510, México
| | - Jorge Gómez-Valdés
- Departamento de Anatomía, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), México City 04510, México
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City 4510, México
| | - Tábita Hunemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Virginia Ramallo
- Centro Nacional Patagónico, CONICET, Unidad de Diversidad, Sistematica y Evolucion, Puerto Madryn U912OACD, Argentina.,Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Caio C Silva de Cerqueira
- Centro Nacional Patagónico, CONICET, Unidad de Diversidad, Sistematica y Evolucion, Puerto Madryn U912OACD, Argentina.,Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Francisco M Salzano
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City 4510, México
| | - Michael Cheeseman
- Division of Developmental Biology, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | - Javier Rosique
- Departamento de Antropología, Universidad de Antioquia, Medellín 5001000, Colombia
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | | | - Denis Headon
- Division of Developmental Biology, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | - Rolando González-José
- Centro Nacional Patagónico, CONICET, Unidad de Diversidad, Sistematica y Evolucion, Puerto Madryn U912OACD, Argentina
| | - David Balding
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK.,Schools of BioSciences and Mathematics and Statistics, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
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29
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Adhikari K, Fontanil T, Cal S, Mendoza-Revilla J, Fuentes-Guajardo M, Chacón-Duque JC, Al-Saadi F, Johansson JA, Quinto-Sanchez M, Acuña-Alonzo V, Jaramillo C, Arias W, Barquera Lozano R, Macín Pérez G, Gómez-Valdés J, Villamil-Ramírez H, Hunemeier T, Ramallo V, Silva de Cerqueira CC, Hurtado M, Villegas V, Granja V, Gallo C, Poletti G, Schuler-Faccini L, Salzano FM, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, Gonzalez-José R, Headon D, López-Otín C, Tobin DJ, Balding D, Ruiz-Linares A. A genome-wide association scan in admixed Latin Americans identifies loci influencing facial and scalp hair features. Nat Commun 2016; 7:10815. [PMID: 26926045 PMCID: PMC4773514 DOI: 10.1038/ncomms10815] [Citation(s) in RCA: 118] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Accepted: 01/25/2016] [Indexed: 12/20/2022] Open
Abstract
We report a genome-wide association scan in over 6,000 Latin Americans for features of scalp hair (shape, colour, greying, balding) and facial hair (beard thickness, monobrow, eyebrow thickness). We found 18 signals of association reaching genome-wide significance (P values 5 × 10(-8) to 3 × 10(-119)), including 10 novel associations. These include novel loci for scalp hair shape and balding, and the first reported loci for hair greying, monobrow, eyebrow and beard thickness. A newly identified locus influencing hair shape includes a Q30R substitution in the Protease Serine S1 family member 53 (PRSS53). We demonstrate that this enzyme is highly expressed in the hair follicle, especially the inner root sheath, and that the Q30R substitution affects enzyme processing and secretion. The genome regions associated with hair features are enriched for signals of selection, consistent with proposals regarding the evolution of human hair.
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Affiliation(s)
- Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Tania Fontanil
- Departamento de Bioquímica y Biología Molecular, IUOPA, Universidad de Oviedo, Oviedo 33006, Spain
| | - Santiago Cal
- Departamento de Bioquímica y Biología Molecular, IUOPA, Universidad de Oviedo, Oviedo 33006, Spain
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Macarena Fuentes-Guajardo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica 1000009, Chile
| | - Juan-Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Farah Al-Saadi
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Jeanette A. Johansson
- Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | | | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- National Institute of Anthropology and History, México 4510, México
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Rodrigo Barquera Lozano
- National Institute of Anthropology and History, México 4510, México
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | - Gastón Macín Pérez
- National Institute of Anthropology and History, México 4510, México
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | | | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | - Tábita Hunemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Virginia Ramallo
- Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Caio C. Silva de Cerqueira
- Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Francisco M. Salzano
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | | | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | | | - Denis Headon
- Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | - Carlos López-Otín
- Departamento de Bioquímica y Biología Molecular, IUOPA, Universidad de Oviedo, Oviedo 33006, Spain
| | - Desmond J. Tobin
- Centre for Skin Sciences, Faculty of Life Sciences, University of Bradford, Bradford BD7 1DP, Victoria, UK
| | - David Balding
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Schools of BioSciences and Mathematics and Statistics, University of Melbourne, Melbourne 3010, Australia
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
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Adhikari K, Reales G, Smith AJP, Konka E, Palmen J, Quinto-Sanchez M, Acuña-Alonzo V, Jaramillo C, Arias W, Fuentes M, Pizarro M, Barquera Lozano R, Macín Pérez G, Gómez-Valdés J, Villamil-Ramírez H, Hunemeier T, Ramallo V, Silva de Cerqueira CC, Hurtado M, Villegas V, Granja V, Gallo C, Poletti G, Schuler-Faccini L, Salzano FM, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, Calderón R, Rosique J, Cheeseman M, Bhutta MF, Humphries SE, Gonzalez-José R, Headon D, Balding D, Ruiz-Linares A. A genome-wide association study identifies multiple loci for variation in human ear morphology. Nat Commun 2015; 6:7500. [PMID: 26105758 PMCID: PMC4491814 DOI: 10.1038/ncomms8500] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 05/14/2015] [Indexed: 11/09/2022] Open
Abstract
Here we report a genome-wide association study for non-pathological pinna morphology in over 5,000 Latin Americans. We find genome-wide significant association at seven genomic regions affecting: lobe size and attachment, folding of antihelix, helix rolling, ear protrusion and antitragus size (linear regression P values 2 × 10(-8) to 3 × 10(-14)). Four traits are associated with a functional variant in the Ectodysplasin A receptor (EDAR) gene, a key regulator of embryonic skin appendage development. We confirm expression of Edar in the developing mouse ear and that Edar-deficient mice have an abnormally shaped pinna. Two traits are associated with SNPs in a region overlapping the T-Box Protein 15 (TBX15) gene, a major determinant of mouse skeletal development. Strongest association in this region is observed for SNP rs17023457 located in an evolutionarily conserved binding site for the transcription factor Cartilage paired-class homeoprotein 1 (CART1), and we confirm that rs17023457 alters in vitro binding of CART1.
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Affiliation(s)
- Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Guillermo Reales
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Andrew J P Smith
- Centre for Cardiovascular Genetics, BHF Laboratories, Institute Cardiovascular Sciences, University College London, Rayne Building, London WC1E 6JF, UK
| | - Esra Konka
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Jutta Palmen
- Centre for Cardiovascular Genetics, BHF Laboratories, Institute Cardiovascular Sciences, University College London, Rayne Building, London WC1E 6JF, UK
| | | | - Victor Acuña-Alonzo
- 1] Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK [2] National Institute of Anthropology and History, Mexico City 4510, Mexico
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Macarena Fuentes
- Instituto de Alta Investigación, Universidad de Tarapacá, Programa de Genética Humana ICBM Facultad de Medicina Universidad de Chile and Centro de Investigaciones del Hombre en el Desierto, Arica 1000000, Chile
| | - María Pizarro
- Instituto de Alta Investigación, Universidad de Tarapacá, Programa de Genética Humana ICBM Facultad de Medicina Universidad de Chile and Centro de Investigaciones del Hombre en el Desierto, Arica 1000000, Chile
| | - Rodrigo Barquera Lozano
- 1] National Institute of Anthropology and History, Mexico City 4510, Mexico [2] Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City 4510, Mexico
| | - Gastón Macín Pérez
- 1] National Institute of Anthropology and History, Mexico City 4510, Mexico [2] Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City 4510, Mexico
| | | | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City 4510, Mexico
| | - Tábita Hunemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brazil
| | - Virginia Ramallo
- 1] Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina [2] Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brazil
| | | | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Peru
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Peru
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Peru
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Peru
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Peru
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brazil
| | - Francisco M Salzano
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brazil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brazil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City 4510, Mexico
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Programa de Genética Humana ICBM Facultad de Medicina Universidad de Chile and Centro de Investigaciones del Hombre en el Desierto, Arica 1000000, Chile
| | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Rosario Calderón
- Departamento de Zoología y Antropología Física, Universidad Complutense de Madrid, Madrid 28040, Spain
| | - Javier Rosique
- Departamento de Antropología, Facultad de Ciencias Sociales y Humanas, Universidad de Antioquia, Medellín 5001000, Colombia
| | - Michael Cheeseman
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | - Mahmood F Bhutta
- 1] UCL Ear Institute, University College London, London WC1X 8EE, UK [2] Royal National Throat Nose and Ear Hospital, London WC1X 8EE, UK
| | - Steve E Humphries
- 1] Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK [2] Centre for Cardiovascular Genetics, BHF Laboratories, Institute Cardiovascular Sciences, University College London, Rayne Building, London WC1E 6JF, UK
| | | | - Denis Headon
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | - David Balding
- 1] Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK [2] Schools of BioSciences and Mathematics &Statistics, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
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Fuentes M, Pulgar I, Gallo C, Bortolini MC, Canizales-Quinteros S, Bedoya G, González-José R, Ruiz-Linares A, Rothhammer F. [Gene geography of Chile: regional distribution of American, European and African genetic contributions]. Rev Med Chil 2015; 142:281-9. [PMID: 25052264 DOI: 10.4067/s0034-98872014000300001] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2013] [Accepted: 03/12/2014] [Indexed: 11/17/2022]
Abstract
BACKGROUND The geographical distribution of genes plays a key role in genetic epidemiology. The Chilean population has three major stem groups (Native American, European and African). AIM To estimate the regional rate of American, European and African admixture of the Chilean population. SUBJECTS AND METHODS Forty single nucleotide polymorphisms (SNP´s) which exhibit substantially different frequencies between Amerindian populations (ancestry-informative markers or AIM´s), were genotyped in a sample of 923 Chilean participants to estimate individual genetic ancestry. RESULTS The American, European and African individual average admixture estimates for the 15 Chilean Regions were relatively homogeneous and not statistically different. However, higher American components were found in northern and southern Chile and higher European components were found in central Chile. A negative correlation between African admixture and latitude was observed. On the average, American and European genetic contributions were similar and significantly higher than the African contribution. Weighted mean American, European and African genetic contributions of 44.34% ± 3 9%, 51.85% ± 5.44% and 3.81% ± 0.45%, were estimated. Fifty two percent of subjects harbor African genes. Individuals with Aymara and Mapuche surnames have an American admixture of 58.64% and 68.33%, respectively. CONCLUSIONS Half of the Chilean population harbors African genes. Participants with Aymara and Mapuche surnames had a higher American genetic contribution than the general Chilean population. These results confirm the usefulness of surnames as a first approximation to determine genetic ancestry.
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Abstract
The American continent currently accounts for ∼15% of the world population. Although first settled thousands of years ago and fitting its label as "the New World," the European colonial expansion initiated in the late 15th century resulted in people from virtually every corner of the globe subsequently settling in the Americas. The arrival of large numbers of immigrants led to a dramatic decline of the Native American population and extensive population mixing. A salient feature of the current human population of the Americas is, thus, its great diversity. The genetic variation of the Native peoples that recent immigrants encountered had been shaped by demographic events acting since the initial peopling of the continent. Similarly, but on a compressed timescale, the colonial history of the Americas has had a major impact on the genetic makeup of the current population of the continent. A range of genetic analyses has been used to study both the ancient settlement of the continent and more recent history of population mixing. Here, I show how these two strands of research overlap and make use of results from other scientific disciplines to produce a fuller picture of the settlement of the continent at different time periods. The biological diversity of the Americas also provides prominent examples of the complex interaction between biological and social factors in constructing human identities and of the difficulties in defining human populations.
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Affiliation(s)
- Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, United Kingdom
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Chacón-Duque JC, Adhikari K, Avendaño E, Campo O, Ramirez R, Rojas W, Ruiz-Linares A, Restrepo BN, Bedoya G. African genetic ancestry is associated with a protective effect on Dengue severity in colombian populations. Infect Genet Evol 2014; 27:89-95. [PMID: 25017656 DOI: 10.1016/j.meegid.2014.07.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Revised: 07/03/2014] [Accepted: 07/05/2014] [Indexed: 12/14/2022]
Abstract
The wide variation in severity displayed during Dengue Virus (DENV) infection may be influenced by host susceptibility. In several epidemiological approaches, differences in disease outcomes have been found between some ethnic groups, suggesting that human genetic background has an important role in disease severity. In the Caribbean, It has been reported that populations of African descent present considerable less frequency of severe forms compared with Mestizo and White self-reported groups. Admixed populations offer advantages for genetic epidemiology studies due to variation and distribution of alleles, such as those involved in disease susceptibility, as well to provide explanations of individual variability in clinical outcomes. The current study analysed three Colombian populations, which like most of Latin American populations, are made up of the product of complex admixture processes between European, Native American and African ancestors; having as a main goal to assess the effect of genetic ancestry, estimated with 30 Ancestry Informative Markers (AIMs), on DENV infection severity. We found that African ancestry has a protective effect against severe outcomes under several systems of clinical classification: Severe Dengue (OR: 0.963 for every 1% increase in African ancestry, 95% confidence interval (0.934-0.993), p-value: 0.016), Dengue Haemorrhagic Fever (OR: 0.969, 95% CI (0.947-0.991), p-value: 0.006), and occurrence of haemorrhages (OR: 0.971, 95% CI (0.952-0.989), p-value: 0.002). Conversely, decrease from 100% to 0% African ancestry significantly increases the chance of severe outcomes: OR is 44-fold for Severe Dengue, 24-fold for Dengue Haemorrhagic Fever, and 20-fold for occurrence of haemorrhages. Furthermore, several warning signs also showed statistically significant association given more evidences in specific stages of DENV infection. These results provide consistent evidence in order to infer statistical models providing a framework for future genetic epidemiology and clinical studies.
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Affiliation(s)
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, University College London (UCL), London, UK
| | - Efren Avendaño
- Grupo GENMOL, Universidad de Antioquia. Medellín, Colombia
| | - Omer Campo
- Grupo GENMOL, Universidad de Antioquia. Medellín, Colombia
| | - Ruth Ramirez
- Instituto Colombiano de Medicina Tropical "Antonio Roldán Betancur" (ICMT), Universidad CES, Sabaneta, Colombia
| | - Winston Rojas
- Grupo GENMOL, Universidad de Antioquia. Medellín, Colombia
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, University College London (UCL), London, UK
| | - Berta Nelly Restrepo
- Instituto Colombiano de Medicina Tropical "Antonio Roldán Betancur" (ICMT), Universidad CES, Sabaneta, Colombia
| | - Gabriel Bedoya
- Grupo GENMOL, Universidad de Antioquia. Medellín, Colombia
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Moreno-Estrada A, Gignoux CR, Fernández-López JC, Zakharia F, Sikora M, Contreras AV, Acuña-Alonzo V, Sandoval K, Eng C, Romero-Hidalgo S, Ortiz-Tello P, Robles V, Kenny EE, Nuño-Arana I, Barquera-Lozano R, Macín-Pérez G, Granados-Arriola J, Huntsman S, Galanter JM, Via M, Ford JG, Chapela R, Rodriguez-Cintron W, Rodríguez-Santana JR, Romieu I, Sienra-Monge JJ, del Rio Navarro B, London SJ, Ruiz-Linares A, Garcia-Herrera R, Estrada K, Hidalgo-Miranda A, Jimenez-Sanchez G, Carnevale A, Soberón X, Canizales-Quinteros S, Rangel-Villalobos H, Silva-Zolezzi I, Burchard EG, Bustamante CD. Human genetics. The genetics of Mexico recapitulates Native American substructure and affects biomedical traits. Science 2014; 344:1280-5. [PMID: 24926019 PMCID: PMC4156478 DOI: 10.1126/science.1251688] [Citation(s) in RCA: 352] [Impact Index Per Article: 35.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Mexico harbors great cultural and ethnic diversity, yet fine-scale patterns of human genome-wide variation from this region remain largely uncharacterized. We studied genomic variation within Mexico from over 1000 individuals representing 20 indigenous and 11 mestizo populations. We found striking genetic stratification among indigenous populations within Mexico at varying degrees of geographic isolation. Some groups were as differentiated as Europeans are from East Asians. Pre-Columbian genetic substructure is recapitulated in the indigenous ancestry of admixed mestizo individuals across the country. Furthermore, two independently phenotyped cohorts of Mexicans and Mexican Americans showed a significant association between subcontinental ancestry and lung function. Thus, accounting for fine-scale ancestry patterns is critical for medical and population genetic studies within Mexico, in Mexican-descent populations, and likely in many other populations worldwide.
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Affiliation(s)
| | - Christopher R Gignoux
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA.
| | | | - Fouad Zakharia
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Martin Sikora
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Victor Acuña-Alonzo
- Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico. Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Karla Sandoval
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, CA, USA
| | | | - Patricia Ortiz-Tello
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Victoria Robles
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Eimear E Kenny
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Ismael Nuño-Arana
- Instituto de Investigación en Genética Molecular, Universidad de Guadalajara, Ocotlán, Mexico
| | | | | | - Julio Granados-Arriola
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Scott Huntsman
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Joshua M Galanter
- Department of Medicine, University of California, San Francisco, CA, USA. Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
| | - Marc Via
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Jean G Ford
- The Brooklyn Hospital Center, Brooklyn, NY, USA
| | - Rocío Chapela
- Instituto Nacional de Enfermedades Respiratorias (INER), Mexico City, Mexico
| | | | - Jose R Rodríguez-Santana
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | | | | | | | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, University College London, London, UK
| | | | - Karol Estrada
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | | | | | | | - Xavier Soberón
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Samuel Canizales-Quinteros
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico. Facultad de Química, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | | | - Esteban Gonzalez Burchard
- Department of Medicine, University of California, San Francisco, CA, USA. Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA.
| | - Carlos D Bustamante
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
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de Cerqueira CCS, Hünemeier T, Gomez-Valdés J, Ramallo V, Volasko-Krause CD, Barbosa AAL, Vargas-Pinilla P, Dornelles RC, Longo D, Rothhammer F, Bedoya G, Canizales-Quinteros S, Acuña-Alonzo V, Gallo C, Poletti G, González-José R, Salzano FM, Callegari-Jacques SM, Schuler-Faccini L, Ruiz-Linares A, Cátira Bortolini M. Implications of the admixture process in skin color molecular assessment. PLoS One 2014; 9:e96886. [PMID: 24809478 PMCID: PMC4014568 DOI: 10.1371/journal.pone.0096886] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2013] [Accepted: 04/12/2014] [Indexed: 12/19/2022] Open
Abstract
The understanding of the complex genotype-phenotype architecture of human pigmentation has clear implications for the evolutionary history of humans, as well as for medical and forensic practices. Although dozens of genes have previously been associated with human skin color, knowledge about this trait remains incomplete. In particular, studies focusing on populations outside the European-North American axis are rare, and, until now, admixed populations have seldom been considered. The present study was designed to help fill this gap. Our objective was to evaluate possible associations of 18 single nucleotide polymorphisms (SNPs), located within nine genes, and one pseudogene with the Melanin Index (MI) in two admixed Brazilian populations (Gaucho, N = 352; Baiano, N = 148) with different histories of geographic and ethnic colonization. Of the total sample, four markers were found to be significantly associated with skin color, but only two (SLC24A5 rs1426654, and SLC45A2 rs16891982) were consistently associated with MI in both samples (Gaucho and Baiano). Therefore, only these 2 SNPs should be preliminarily considered to have forensic significance because they consistently showed the association independently of the admixture level of the populations studied. We do not discard that the other two markers (HERC2 rs1129038 and TYR rs1126809) might be also relevant to admixed samples, but additional studies are necessary to confirm the real importance of these markers for skin pigmentation. Finally, our study shows associations of some SNPs with MI in a modern Brazilian admixed sample, with possible applications in forensic genetics. Some classical genetic markers in Euro-North American populations are not associated with MI in our sample. Our results point out the relevance of considering population differences in selecting an appropriate set of SNPs as phenotype predictors in forensic practice.
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Affiliation(s)
| | - Tábita Hünemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Jorge Gomez-Valdés
- Laboratorio de Antropología Física, Departamento de Anatomía, Facultad de Medicina, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico
| | - Virgínia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | | | - Pedro Vargas-Pinilla
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Danaê Longo
- Instituto Federal de Educação, Ciência e Tecnologia Farroupilha, Alegrete, Brazil
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Facultad de Medicina, Universidad de Chile and Centro de Investigaciones del Hombre en el Desierto, Arica, Chile
| | | | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México, Mexico City, Mexico
- Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia, Mexico City, Mexico
| | - Carla Gallo
- Laboratorio de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Giovanni Poletti
- Laboratorio de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | | | - Francisco Mauro Salzano
- Departamento de Estatística, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Sídia Maria Callegari-Jacques
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Departamento de Estatística, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Lavínia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- INAGEMP – Instituto Nacional de Genética Médica Populacional, Porto Alegre, Brazil
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London, United Kingdom
| | - Maria Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- * E-mail:
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Fears SC, Service SK, Kremeyer B, Araya C, Araya X, Bejarano J, Ramirez M, Castrillón G, Gomez-Franco J, Lopez MC, Montoya G, Montoya P, Aldana I, Teshiba TM, Abaryan Z, Al-Sharif NB, Ericson M, Jalbrzikowski M, Luykx JJ, Navarro L, Tishler TA, Altshuler L, Bartzokis G, Escobar J, Glahn DC, Ospina-Duque J, Risch N, Ruiz-Linares A, Thompson PM, Cantor RM, Lopez-Jaramillo C, Macaya G, Molina J, Reus VI, Sabatti C, Freimer NB, Bearden CE. Multisystem component phenotypes of bipolar disorder for genetic investigations of extended pedigrees. JAMA Psychiatry 2014; 71:375-87. [PMID: 24522887 PMCID: PMC4045237 DOI: 10.1001/jamapsychiatry.2013.4100] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
IMPORTANCE Genetic factors contribute to risk for bipolar disorder (BP), but its pathogenesis remains poorly understood. A focus on measuring multisystem quantitative traits that may be components of BP psychopathology may enable genetic dissection of this complex disorder, and investigation of extended pedigrees from genetically isolated populations may facilitate the detection of specific genetic variants that affect BP as well as its component phenotypes. OBJECTIVE To identify quantitative neurocognitive, temperament-related, and neuroanatomical phenotypes that appear heritable and associated with severe BP (bipolar I disorder [BP-I]) and therefore suitable for genetic linkage and association studies aimed at identifying variants contributing to BP-I risk. DESIGN, SETTING, AND PARTICIPANTS Multigenerational pedigree study in 2 closely related, genetically isolated populations: the Central Valley of Costa Rica and Antioquia, Colombia. A total of 738 individuals, all from Central Valley of Costa Rica and Antioquia pedigrees, participated; among them, 181 have BP-I. MAIN OUTCOMES AND MEASURES Familial aggregation (heritability) and association with BP-I of 169 quantitative neurocognitive, temperament, magnetic resonance imaging, and diffusion tensor imaging phenotypes. RESULTS Of 169 phenotypes investigated, 126 (75%) were significantly heritable and 53 (31%) were associated with BP-I. About one-quarter of the phenotypes, including measures from each phenotype domain, were both heritable and associated with BP-I. Neuroimaging phenotypes, particularly cortical thickness in prefrontal and temporal regions as well as volume and microstructural integrity of the corpus callosum, represented the most promising candidate traits for genetic mapping related to BP based on strong heritability and association with disease. Analyses of phenotypic and genetic covariation identified substantial correlations among the traits, at least some of which share a common underlying genetic architecture. CONCLUSIONS AND RELEVANCE To our knowledge, this is the most extensive investigation of BP-relevant component phenotypes to date. Our results identify brain and behavioral quantitative traits that appear to be genetically influenced and show a pattern of BP-I association within families that is consistent with expectations from case-control studies. Together, these phenotypes provide a basis for identifying loci contributing to BP-I risk and for genetic dissection of the disorder.
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Affiliation(s)
- Scott C Fears
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Susan K Service
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | | | - Carmen Araya
- Cell and Molecular Biology Research, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Xinia Araya
- Cell and Molecular Biology Research, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Julio Bejarano
- Cell and Molecular Biology Research, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Margarita Ramirez
- Cell and Molecular Biology Research, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | | | - Juliana Gomez-Franco
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Maria C Lopez
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Gabriel Montoya
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Patricia Montoya
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Ileana Aldana
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Terri M Teshiba
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Zvart Abaryan
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Noor B Al-Sharif
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Marissa Ericson
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Maria Jalbrzikowski
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Jurjen J Luykx
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles6Department of Psychiatry, ZNA Stuivenberg, Antwerp, Belgium
| | - Linda Navarro
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Todd A Tishler
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Lori Altshuler
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - George Bartzokis
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Javier Escobar
- Department of Psychiatry and Family Medicine, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, New Brunswick
| | - David C Glahn
- Department of Psychiatry, Yale University, New Haven, Connecticut9Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut
| | - Jorge Ospina-Duque
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Neil Risch
- Institute for Human Genetics, University of California, San Francisco
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution, and Environment, University College London, London, England
| | - Paul M Thompson
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Rita M Cantor
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Carlos Lopez-Jaramillo
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia12Mood Disorders Program, Hospital San Vicente Fundacion, Medellín, Colombia
| | - Gabriel Macaya
- Cell and Molecular Biology Research, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
| | - Julio Molina
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles13BioCiencias Lab, Guatemala, Guatemala
| | - Victor I Reus
- Department of Psychiatry, University of California, San Francisco
| | - Chiara Sabatti
- Department of Health Research and Policy, Stanford University, Stanford, California
| | - Nelson B Freimer
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
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Fernandes-Lima ZS, Paixão-Côrtes VR, Andrade AKMD, Fernandes AS, Coronado BNL, Monte Filho HP, Santos MJ, Omena Filho RLD, Biondi FC, Ruiz-Linares A, Ramallo V, Hünemeier T, Schuler-Faccini L, Monlleó IL. Ocular and craniofacial phenotypes in a large Brazilian family with congenital aniridia. Clin Genet 2014; 87:68-73. [PMID: 24266705 DOI: 10.1111/cge.12329] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2013] [Revised: 10/28/2013] [Accepted: 11/22/2013] [Indexed: 11/27/2022]
Abstract
Congenital aniridia is a rare genetic disorder characterized by varying degrees of iris hypoplasia that are associated with additional ocular abnormalities. More than 90% of the causal mutations identified are found in the PAX6 gene, a transcription factor of critical importance in the process of neurogenesis and ocular development. Here, we investigate clinical, molecular, and craniofacial features of a large Brazilian family with congenital aniridia. Among the 56 eyes evaluated, phenotype variation encompassed bilateral total aniridia to mild iris defects with extensive variation between eyes of the same individual. PAX6 molecular screening indicated a heterozygous splice mutation (c.141 + 1G>A). Thus, we hypothesize that this splicing event may cause variation in the expression of the wild-type transcript, which may lead to the observed variation in phenotype. Affected individuals were more brachycephalic, even though their face height and cephalic circumference were not significantly different when compared to those of non-affected relatives. From this, we infer that the head shape of affected subjects may also be a result of the PAX6 splice-site mutation. Our data summarize the clinical variability associated with the ocular phenotype in a large family with aniridia, and help shed light on the role of PAX6 in neurocranial development.
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Affiliation(s)
- Z S Fernandes-Lima
- Programa de Pós-Graduação em Genética e Biologia Molecular, Departamento de Genética, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; gINAGEMP - Instituto Nacional de Genética Médica Populacional, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Nag A, Bochukova EG, Kremeyer B, Campbell DD, Muller H, Valencia-Duarte AV, Cardona J, Rivas IC, Mesa SC, Cuartas M, Garcia J, Bedoya G, Cornejo W, Herrera LD, Romero R, Fournier E, Reus VI, Lowe TL, Farooqi IS, Mathews CA, McGrath LM, Yu D, Cook E, Wang K, Scharf JM, Pauls DL, Freimer NB, Plagnol V, Ruiz-Linares A. CNV analysis in Tourette syndrome implicates large genomic rearrangements in COL8A1 and NRXN1. PLoS One 2013; 8:e59061. [PMID: 23533600 PMCID: PMC3606459 DOI: 10.1371/journal.pone.0059061] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2012] [Accepted: 02/11/2013] [Indexed: 12/22/2022] Open
Abstract
Tourette syndrome (TS) is a neuropsychiatric disorder with a strong genetic component. However, the genetic architecture of TS remains uncertain. Copy number variation (CNV) has been shown to contribute to the genetic make-up of several neurodevelopmental conditions, including schizophrenia and autism. Here we describe CNV calls using SNP chip genotype data from an initial sample of 210 TS cases and 285 controls ascertained in two Latin American populations. After extensive quality control, we found that cases (N = 179) have a significant excess (P = 0.006) of large CNV (>500 kb) calls compared to controls (N = 234). Amongst 24 large CNVs seen only in the cases, we observed four duplications of the COL8A1 gene region. We also found two cases with ∼400 kb deletions involving NRXN1, a gene previously implicated in neurodevelopmental disorders, including TS. Follow-up using multiplex ligation-dependent probe amplification (and including 53 more TS cases) validated the CNV calls and identified additional patients with rearrangements in COL8A1 and NRXN1, but none in controls. Examination of available parents indicates that two out of three NRXN1 deletions detected in the TS cases are de-novo mutations. Our results are consistent with the proposal that rare CNVs play a role in TS aetiology and suggest a possible role for rearrangements in the COL8A1 and NRXN1 gene regions.
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Affiliation(s)
- Abhishek Nag
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Elena G. Bochukova
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Barbara Kremeyer
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Desmond D. Campbell
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Heike Muller
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Ana V. Valencia-Duarte
- Laboratorio de Genética Molecular, SIU, Universidad de Antioquia, Medellín, Colombia
- Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Julio Cardona
- Departamento de Pediatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Isabel C. Rivas
- Departamento de Pediatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Sandra C. Mesa
- Departamento de Pediatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Mauricio Cuartas
- Laboratorio de Genética Molecular, SIU, Universidad de Antioquia, Medellín, Colombia
| | - Jharley Garcia
- Laboratorio de Genética Molecular, SIU, Universidad de Antioquia, Medellín, Colombia
| | - Gabriel Bedoya
- Laboratorio de Genética Molecular, SIU, Universidad de Antioquia, Medellín, Colombia
| | - William Cornejo
- Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia
- Departamento de Pediatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | | | | | | | - Victor I. Reus
- Department of Psychiatry, University of California San Francisco, San Francisco, California, United States of America
| | - Thomas L. Lowe
- Department of Psychiatry, University of California San Francisco, San Francisco, California, United States of America
| | - I. Sadaf Farooqi
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | | | - Carol A. Mathews
- Department of Psychiatry, University of California San Francisco, San Francisco, California, United States of America
| | - Lauren M. McGrath
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetics Research, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Dongmei Yu
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Ed Cook
- University of Illinois, Chicago, Illinois, United States of America
| | - Kai Wang
- University of Southern California, Los Angeles, California, United States of America
| | - Jeremiah M. Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetics Research, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - David L. Pauls
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetics Research, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Nelson B. Freimer
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, California, United States of America
| | - Vincent Plagnol
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Andrés Ruiz-Linares
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
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Duque C, Parra MV, Valencia AV, Bedoya G, Ruiz-Linares A. Comparación de cuatro programas utilizados en la determinación de la composición genética ancestral de la población antioqueña. rev colomb antropol 2012. [DOI: 10.22380/2539472x.1031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
La población antioqueña posee una estructura genética compleja que refleja su historia de mezclas entre poblaciones europeas, africanas y amerindias. En este estudio se determinó la composición genética de 849 individuos de la población antioqueña, utilizando un panel de 75 marcadores informativos de ancestralidad y 4 programas que implementan métodos bayesianos para inferir la composición de la mezcla ancestral. La contribución europea (60%) fue dos veces mayor que la contribución amerindia (28%), ambas con una distribución amplia, y fue poca la contribución africana (12%). Se estimó el tiempo transcurrido desde el primer evento de mezcla, que fue de 11 generaciones por cada 100 cM, lo cual hace de esta población un recurso útil para implementar estudios de mapeo por mezcla. Se evaluó la utilidad del panel de marcadores, así como la robustez y utilidad de los diferentes programas utilizados.
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Córdoba L, García JJ, Hoyos LS, Duque C, Rojas W, Carvajal S, Escobar LF, Reyes I, Cajas N, Sánchez A, García F, Bedoya G, Ruiz-Linares A. Composición genética de una población del suroccidente de Colombia. rev colomb antropol 2012. [DOI: 10.22380/2539472x.879] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
La población actual del departamento del Cauca es el resultado de la mezcla de tres poblaciones parentales (europea, amerindia y africana). En este estudio se determinó la composición genética de 306 residentes del departamento mediante la utilización de 34 variantes autosómicas, 9 variantes en el cromosoma X, 6 en el ADNmt y 8 en el cromosoma Y. Los análisis de las variantes autosómicas y del cromosoma X revelaron que la población europea y la amerindia han contribuido en mayor proporción al actual acervo genético de la población estudiada. Los resultados de las variantes en el ADNmt y del cromosoma Y sugieren un fuerte sesgo sexual (flujo génico asimétrico) en el proceso de mezcla, en el que los cruces interétnicos fueron principalmente entre los colonizadores europeos y las mujeres nativas.
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Arias P. WH, Rojas W, Moreno S, Lopera F, Ruiz-Linares A, Bedoya G. Origen de la mutación G736A del gen Parkin en la población de Peque (noroccidente de Antioquia). rev colomb antropol 2012. [DOI: 10.22380/2539472x.891] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
En una gran familia de la población de Peque (Antioquia) se hallaron individuos afectados por la enfermedad de Parkinson juvenil, debido a la mutación G736A localizada en el exón 6 del gen PARK2. Dada la composición triétnica de nuestraspoblaciones mestizas, y dado que esta mutación fue reportada en España, nuestro objetivo fue buscar su origen. Para ello, tipificamos con marcadores moleculares del cromosoma Y a 132 individuos no relacionados de la población general y a 31 de la familia, además con registros de apellidos en dos periodos diferentes. La mutación solo se encontró en la familia en la que se dio un solo haplotipo europeo (haplogrupo P) de apellido Valle, y un solo haplotipo nativo (Q1a3a) de apellido Salas, portadores de la mutación G736A. La mutación G736A ingresó con fundadores europeos (P) de apellido Valle, aumentó su frecuencia debido a un efecto fundador, al crecimiento interno y a cruces endogámicos en la familia y no en la población total, y se expandió en un contexto amerindio (Q1a3a) de apellido Salas.
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Rojas W, Campo O, García J, Soto I, Duque C, Bedoya G, Ruiz-Linares A. Coancestría de apellidos y linajes del cromosoma Y en el noroeste de Colombia: una herramienta útil para establecer migración entre poblaciones. rev colomb antropol 2012. [DOI: 10.22380/2539472x.890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Por medio del análisis de marcadores genéticos del cromosoma Y, se estudió la composición de los linajes y su distribución en los apellidos más comunes en una muestra de 471 hombres provenientes del municipio de Marinilla (Antioquia) y su zona de influencia y del municipio de Aranzazu (Caldas), y en un grupo de muestras de la población general de Medellín. Además de encontrar una tasa variable de coancestría entre apellidos y linajes del cromosoma Y, también se detectó una gran similitud en el patrón de distribución de haplogrupos/haplotipos/apellidos entre Marinilla y su zona de influencia y Aranzazu, hallazgo que refuerza la idea de la migración histórica entre estas dos regiones. Esta similitud indicaría además que en las dos poblaciones pueden circular variantes genéticas comunes vinculadas a enfermedades humanas.
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Scharf J, Yu D, Mathews C, Neale B, Stewart E, Fagerness J, Evans P, Gamazon E, Service S, Osiecki L, Illmann C, Cath D, King R, Dion Y, Sandor P, Barr C, Budman C, Lyon G, Grados M, Singer H, Jankovic J, Gilbert D, Hoekstra P, Heiman G, Tischfield J, State M, Robertson M, Kurlan R, Ophoff R, Gibbs JR, Cookson M, Hardy J, Singleton A, Ruiz-Linares A, Rouleau G, Heutink P, Oostra B, McMahon W, Freimer N, COX N, Pauls D. Genome-Wide Association Study of Gilles de la Tourette Syndrome (IN10-1.002). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.in10-1.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Scharf J, Yu D, Mathews C, Neale B, Stewart E, Fagerness J, Evans P, Gamazon E, Service S, Osiecki L, Illmann C, Cath D, King R, Dion Y, Sandor P, Barr C, Budman C, Lyon G, Grados M, Singer H, Jankovic J, Gilbert D, Hoekstra P, Heiman G, Tischfield J, State M, Robertson M, Kurlan R, Ophoff R, Gibbs JR, Cookson M, Hardy J, Singleton A, Ruiz-Linares A, Rouleau G, Heutink P, Oostra B, McMahon W, Freimer N, COX N, Pauls D. Genome-Wide Association Study of Gilles de la Tourette Syndrome (S32.006). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.s32.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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45
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Amorim CEG, Wang S, Marrero AR, Salzano FM, Ruiz-Linares A, Bortolini MC. X-chromosomal genetic diversity and linkage disequilibrium patterns in Amerindians and non-Amerindian populations. Am J Hum Biol 2011; 23:299-304. [PMID: 21294208 DOI: 10.1002/ajhb.21110] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2010] [Revised: 09/08/2010] [Accepted: 09/14/2010] [Indexed: 11/12/2022] Open
Affiliation(s)
- Carlos Eduardo G Amorim
- Programa de Pós-Graduação em Genética e Biologia Molecular and Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Caixa Postal 15053, 91501-970, Porto Alegre, RS, Brazil
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Moreno S, Buriticá O, Franco A, Pineda N, Arias W, Sepúlveda D, Aguirre C, Tamayo W, Uribe S, Bedoya G, Ruiz-Linares A, Lopera F. Cognitive alterations in juvenile Parkinson´s disease caused by the C212Y mutation in the Parkin gene. Int J Psychol Res (Medellin) 2010. [DOI: 10.21500/20112084.812] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
In Antioquia, Colombia, four families have been reported with juvenile Parkinson´s disease and carrying the C212Y mutation in the Parkin gene. Many cognitive alterations associated with idiopathic, late-onset Parkinson´s disease have been described; however, little attention has been paid to the description of neuropsychological profiles in families carrying mutations in genes associated with juvenile Parkinson´s disease. For this study we selected a group of ten homozygous carriers of Parkin mutation C212Y with the clinical and a group of molecular diagnosis of Parkinson´s disease, and ten healthy relatives as controls. The neuropsychological evaluation revealed statistically significant differences between the two groups (p < 0.05) in Minimental State Examination and in tests evaluating working memory and attention in which prolonged execution times and marked slowing down of information processing were observed. We suggest that the observed alterations could be considered as neuropsychological features of patients with the C212Y mutation in the Parkin gene, the phenotypic expression of which seems to be associated in this population with slow evolution, mild cognitive impairment and functional involvement.
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Rojas W, Parra MV, Campo O, Caro MA, Lopera JG, Arias W, Duque C, Naranjo A, García J, Vergara C, Lopera J, Hernandez E, Valencia A, Caicedo Y, Cuartas M, Gutiérrez J, López S, Ruiz-Linares A, Bedoya G. Genetic make up and structure of Colombian populations by means of uniparental and biparental DNA markers. Am J Phys Anthropol 2010; 143:13-20. [PMID: 20734436 DOI: 10.1002/ajpa.21270] [Citation(s) in RCA: 101] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Colombia is a country with great geographic heterogeneity and marked regional differences in pre-Columbian native population density and in the extent of past African and European immigration. As a result, Colombia has one of the most diverse populations in Latin America. Here we evaluated ancestry in over 1,700 individuals from 24 Colombian populations using biparental (autosomal and X-Chromosome), maternal (mtDNA), and paternal (Y-chromosome) markers. Autosomal ancestry varies markedly both within and between regions, confirming the great genetic diversity of the Colombian population. The X-chromosome, mtDNA, and Y-chromosome data indicate that there is a pattern across regions indicative of admixture involving predominantly Native American women and European and African men.
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Affiliation(s)
- Winston Rojas
- Laboratory of Molecular Genetics, Institute of Biology, University of Antioquia, Medellín, Colombia.
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Kremeyer B, García J, Müller H, Burley MW, Herzberg I, Parra MV, Duque C, Vega J, Montoya P, López MC, Bedoya G, Reus V, Palacio C, López C, Ospina-Duque J, Freimer NB, Ruiz-Linares A. Genome-wide linkage scan of bipolar disorder in a Colombian population isolate replicates Loci on chromosomes 7p21-22, 1p31, 16p12 and 21q21-22 and identifies a novel locus on chromosome 12q. Hum Hered 2010; 70:255-68. [PMID: 21071953 PMCID: PMC3068751 DOI: 10.1159/000320914] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2010] [Accepted: 09/03/2010] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Bipolar disorder (BP) is a severe psychiatric illness, characterised by alternating episodes of depression and mania, which ranks among the top ten causes of morbidity and life-long disability world-wide. We have previously performed a whole-genome linkage scan on 6 pedigrees segregating severe BP from the well-characterised population isolate of Antioquia, Colombia. We recently collected genotypes for the same set of 382 autosomal microsatellite markers in 9 additional Antioquian BP pedigrees. Here, we report the analysis of the combined pedigree set. METHODS Linkage analysis using both parametric and nonparametric approaches was conducted for 3 different diagnostic models: severe BP only (BPI); mood disorders (BPI, BPII and major depression); and psychosis (operationally defined by the occurrence of at least 1 episode of hallucinations and/or delusions). RESULTS AND CONCLUSION For BPI only, the most interesting result was obtained for chromosome 7p21.1-p22.2 under a recessive model of inheritance (heterogeneity LOD score = 2.80), a region that had previously been linked to BP in a study on Portuguese Island families. For both BPI and mood disorders, nonparametric analyses identified a locus on chromosome 12ct-q14 (nonparametric linkage = 2.55 and 2.35, respectively). This locus has not previously been reported as a candidate region for BP. Additional candidate regions were found on chromosomes 1p22-31 (mood disorders) and 21q21-22 (BPI), 2 loci that have repeatedly been implicated in BP susceptibility. Linkage analysis of psychosis as a phenotype identified candidate regions on chromosomes 2q24-31 and 16p12-q12. The finding on chromosome 16p is noteworthy because the same locus has been implicated by genome-wide association analyses of BP.
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Affiliation(s)
- B Kremeyer
- Department of Genetics, Evolution and Environment, University College London, London, UK.
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Yang NN, Mazières S, Bravi C, Ray N, Wang S, Burley MW, Bedoya G, Rojas W, Parra MV, Molina JA, Gallo C, Poletti G, Hill K, Hurtado AM, Petzl-Erler ML, Tsuneto LT, Klitz W, Barrantes R, Llop E, Rothhammer F, Labuda D, Salzano FM, Bortolini MC, Excoffier L, Dugoujon JM, Ruiz-Linares A. Contrasting patterns of nuclear and mtDNA diversity in Native American populations. Ann Hum Genet 2010; 74:525-38. [PMID: 20887376 DOI: 10.1111/j.1469-1809.2010.00608.x] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
We report an integrated analysis of nuclear (autosomal, X- and Y-chromosome) short tandem repeat (STR) data and mtDNA D-loop sequences obtained in the same set of 22 Native populations from across the Americas. A north to south gradient of decreasing population diversity was observed, in agreement with a settlement of the Americas from the extreme northwest of the continent. This correlation is stronger with "least cost distances," which consider the coasts as facilitators of migration. Continent-wide estimates of population structure are highest for the Y-chromosome and lowest for the autosomes, consistent with the effective size of the different marker systems examined. Population differentiation is highest in East South America and lowest in Meso America and the Andean region. Regional analyses suggest a deviation from mutation-drift equilibrium consistent with population expansion in Meso America and the Andes and population contraction in Northwest and East South America. These data hint at an early divergence of Andean and non-Andean South Americans and at a contrasting demographic history for populations from these regions.
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Affiliation(s)
- Ning Ning Yang
- Department of Genetics, Evolution and Environment, University College London, UK
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Kremeyer B, Lopera F, Cox JJ, Momin A, Rugiero F, Marsh S, Woods CG, Jones NG, Paterson KJ, Fricker FR, Villegas A, Acosta N, Pineda-Trujillo NG, Ramírez JD, Zea J, Burley MW, Bedoya G, Bennett DLH, Wood JN, Ruiz-Linares A. A gain-of-function mutation in TRPA1 causes familial episodic pain syndrome. Neuron 2010; 66:671-80. [PMID: 20547126 PMCID: PMC4769261 DOI: 10.1016/j.neuron.2010.04.030] [Citation(s) in RCA: 324] [Impact Index Per Article: 23.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2010] [Indexed: 12/12/2022]
Abstract
Human monogenic pain syndromes have provided important insights into the molecular mechanisms that underlie normal and pathological pain states. We describe an autosomal-dominant familial episodic pain syndrome characterized by episodes of debilitating upper body pain, triggered by fasting and physical stress. Linkage and haplotype analysis mapped this phenotype to a 25 cM region on chromosome 8q12–8q13. Candidate gene sequencing identified a point mutation (N855S) in the S4 transmembrane segment of TRPA1, a key sensor for environmental irritants. The mutant channel showed a normal pharmacological profile but altered biophysical properties, with a 5-fold increase in inward current on activation at normal resting potentials. Quantitative sensory testing demonstrated normal baseline sensory thresholds but an enhanced secondary hyperalgesia to punctate stimuli on treatment with mustard oil. TRPA1 antagonists inhibit the mutant channel, promising a useful therapy for this disorder. Our findings provide evidence that variation in the TRPA1 gene can alter pain perception in humans. Video Abstract
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Affiliation(s)
- Barbara Kremeyer
- Department of Genetics, Evolution and Environment, University College London, London, UK
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