1
|
Romero-Hidalgo S, Sagaceta-Mejía J, Villalobos-Comparán M, Tejero ME, Domínguez-Pérez M, Jacobo-Albavera L, Posadas-Sánchez R, Vargas-Alarcón G, Posadas-Romero C, Macías-Kauffer L, Vadillo-Ortega F, Contreras-Sieck MA, Acuña-Alonzo V, Barquera R, Macín G, Binia A, Guevara-Chávez JG, Sebastián-Medina L, Menjívar M, Canizales-Quinteros S, Carnevale A, Villarreal-Molina T. Selection scan in Native Americans of Mexico identifies FADS2 rs174616: Evidence of gene-diet interactions affecting lipid levels and Delta-6-desaturase activity. Heliyon 2024; 10:e35477. [PMID: 39166092 PMCID: PMC11334880 DOI: 10.1016/j.heliyon.2024.e35477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Accepted: 07/29/2024] [Indexed: 08/22/2024] Open
Abstract
Searching for positive selection signals across genomes has identified functional genetic variants responding to environmental change. In Native Americans of Mexico, we used the fixation index (Fst) and population branch statistic (PBS) to identify SNPs suggesting positive selection. The 103 most differentiated SNPs were tested for associations with metabolic traits, the most significant association was FADS2/rs174616 with body mass index (BMI). This variant lies within a linkage disequilibrium (LD) block independent of previously reported FADS selection signals and has not been clearly associated with metabolic phenotypes. We tested this variant in two independent cohorts with cardiometabolic data. In the Genetics of Atherosclerotic Disease (GEA) cohort, the derived allele (T) was associated with increased BMI, lower LDL-C levels and a decreased risk of subclinical atherosclerosis in women. Significant gene-diet interactions affected lipid, apolipoprotein and adiponectin levels with differences according to sex, involving mainly total and complex dietary carbohydrate%. In the Genotype-related Effects of PUFA trial, the derived allele was associated with lower Δ-6 desaturase activity and erythrocyte membrane dihomo-gamma-linolenic acid (DGLA) levels, and with increased Δ-5 desaturase activity and eicosapentaenoic acid levels. This variant interacted with dietary carbohydrate% affecting Δ-6 desaturase activity. Notably, the relationship of DGLA and other erythrocyte membrane LC-PUFA indices with HOMA-IR differed according to rs174616 genotype, which has implications regarding how these indices should be interpreted. In conclusion, this observational study identified rs174616 as a signal suggesting selection in an independent linkage disequilibrium block, was associated with cardiometabolic and erythrocyte measurements of LC-PUFA in two independent Mexican cohorts and showed significant gene-diet interactions.
Collapse
Affiliation(s)
- Sandra Romero-Hidalgo
- Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Janine Sagaceta-Mejía
- Laboratorio de Nutrigenética y Nutrigenómica, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | | | - María Elizabeth Tejero
- Laboratorio de Nutrigenética y Nutrigenómica, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Mayra Domínguez-Pérez
- Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Leonor Jacobo-Albavera
- Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Rosalinda Posadas-Sánchez
- Departamento de Endocrinología, Instituto Nacional de Cardiología “Ignacio Chávez”, Mexico City, Mexico
| | - Gilberto Vargas-Alarcón
- Departmento de Biología Molecular y Dirección de Investigación, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
| | - Carlos Posadas-Romero
- Departamento de Endocrinología, Instituto Nacional de Cardiología “Ignacio Chávez”, Mexico City, Mexico
| | - Luis Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química UNAM e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Felipe Vadillo-Ortega
- Unidad de Vinculación de la Facultad de Medicina UNAM en el Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | | | - Víctor Acuña-Alonzo
- Laboratorio de Genética Molecular, Escuela Nacional de Antropología e Historia, Mexico City, Mexico
| | - Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
- Anthropology (MPI-EVA), Leipzig, Germany
| | - Gastón Macín
- Escuela Nacional de Antropología e Historia, Mexico City, Mexico
| | - Aristea Binia
- Nestlé Institute of Health Sciences, Innovation Park, EPFL, Lausanne, Switzerland
| | - Jose Guadalupe Guevara-Chávez
- Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Leticia Sebastián-Medina
- Laboratorio de Nutrigenética y Nutrigenómica, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Martha Menjívar
- Departamento de Biología, Facultad de Química UNAM, Mexico City and Unidad Académica de Ciencias y Tecnología, UNAM-Yucatán, Mérida, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química UNAM e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Alessandra Carnevale
- Laboratorio de Enfermedades Mendelianas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Teresa Villarreal-Molina
- Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| |
Collapse
|
2
|
Romero-Morelos P, González-Yebra AL, Muñoz-López D, Lara-Lona E, González-Yebra B. Frequencies of BCR::ABL1 Transcripts in Patients with Chronic Myeloid Leukemia: A Meta-Analysis. Genes (Basel) 2024; 15:232. [PMID: 38397221 PMCID: PMC10888370 DOI: 10.3390/genes15020232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 01/30/2024] [Accepted: 02/03/2024] [Indexed: 02/25/2024] Open
Abstract
Chronic myeloid leukemia (CML) is associated with the Philadelphia chromosome and distinct BCR::ABL1 gene transcripts. We assessed the frequencies of these transcripts in Mexico, Latin America, and worldwide. We determined the prevalence of BCR::ABL1 transcripts in CML patients and intercontinental or regional variations using specialized databases and keywords. We analyzed 34 studies from 20 countries, encompassing 5795 patients. Keyword-based searches in specialized databases guided data collection. ANOVA was employed for transcript distribution analysis. The b3a2 transcript was most prevalent globally, followed by b2a2, with e1a2 being the least frequent. Interestingly, Mexico City exhibited a higher incidence of b2a2, while b3a2 predominated in the remaining country. Overall, no significant intercontinental or regional variations were observed. b3a2 was the most common BCR::ABL1 transcript worldwide, with b2a2 following closely; e1a2 was infrequent. Notably, this trend remained consistent in Mexico. Evaluating transcript frequencies holds clinical relevance for CML management. Understanding the frequency of transcript informs personalized CML treatments.
Collapse
Affiliation(s)
- Pablo Romero-Morelos
- Department of Research, State University of the Valley of Ecatepec, Ecatepec 55210, Mexico State, Mexico
| | - Ana Lilia González-Yebra
- Department of Applied Sciences to Work, Division of Health Sciences, University of Guanajuato, Campus León, León 37320, Guanajuato, Mexico;
| | - Daniela Muñoz-López
- Department of Medicine and Nutrition, Division of Health Sciences, University of Guanajuato, Campus León, León 37320, Guanajuato, Mexico; (D.M.-L.); (E.L.-L.)
| | - Elia Lara-Lona
- Department of Medicine and Nutrition, Division of Health Sciences, University of Guanajuato, Campus León, León 37320, Guanajuato, Mexico; (D.M.-L.); (E.L.-L.)
| | - Beatriz González-Yebra
- Department of Medicine and Nutrition, Division of Health Sciences, University of Guanajuato, Campus León, León 37320, Guanajuato, Mexico; (D.M.-L.); (E.L.-L.)
- Research Unit, Bajío Regional High Specialty Hospital, León, Guanajuato, Blvd. Milenio, Col, San Carlos, León 37544, Guanajuato, Mexico
| |
Collapse
|
3
|
Sohail M, Moreno-Estrada A. The Mexican Biobank Project promotes genetic discovery, inclusive science and local capacity building. Dis Model Mech 2024; 17:dmm050522. [PMID: 38299665 PMCID: PMC10855211 DOI: 10.1242/dmm.050522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2024] Open
Abstract
Diversifying genotype-phenotype databases is essential to understanding complex trait and disease etiology across different environments and genetic ancestries. The rise of biobanks across the world is helping reveal the genetic and environmental architecture of multiple disease traits but the diversity they capture remains limited. To help close this gap, the Mexican Biobank (MXB) Project was recently generated, and has already revealed fine-scale genetic ancestries and demographic histories across the country, and their impact on trait-relevant genetic variation. This will help guide future genetic epidemiology and public health efforts, and has also improved polygenic prediction for several traits in Mexican populations compared with using data from other genome-wide association studies, such as the UK Biobank. The MXB illustrates the importance of transnational initiatives and funding calls that prioritize local leadership and capacity building to move towards inclusive genomic science.
Collapse
Affiliation(s)
- Mashaal Sohail
- Genómica Computacional, Centro de Ciencias Genómicas (CCG), Universidad Nacional Autónoma de México (UNAM), 62209 Cuernavaca, Morelos, México
| | - Andrés Moreno-Estrada
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), 36821 Irapuato, Guanajuato, México
| |
Collapse
|
4
|
Sohail M, Palma-Martínez MJ, Chong AY, Quinto-Cortés CD, Barberena-Jonas C, Medina-Muñoz SG, Ragsdale A, Delgado-Sánchez G, Cruz-Hervert LP, Ferreyra-Reyes L, Ferreira-Guerrero E, Mongua-Rodríguez N, Canizales-Quintero S, Jimenez-Kaufmann A, Moreno-Macías H, Aguilar-Salinas CA, Auckland K, Cortés A, Acuña-Alonzo V, Gignoux CR, Wojcik GL, Ioannidis AG, Fernández-Valverde SL, Hill AVS, Tusié-Luna MT, Mentzer AJ, Novembre J, García-García L, Moreno-Estrada A. Mexican Biobank advances population and medical genomics of diverse ancestries. Nature 2023; 622:775-783. [PMID: 37821706 PMCID: PMC10600006 DOI: 10.1038/s41586-023-06560-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/22/2023] [Indexed: 10/13/2023]
Abstract
Latin America continues to be severely underrepresented in genomics research, and fine-scale genetic histories and complex trait architectures remain hidden owing to insufficient data1. To fill this gap, the Mexican Biobank project genotyped 6,057 individuals from 898 rural and urban localities across all 32 states in Mexico at a resolution of 1.8 million genome-wide markers with linked complex trait and disease information creating a valuable nationwide genotype-phenotype database. Here, using ancestry deconvolution and inference of identity-by-descent segments, we inferred ancestral population sizes across Mesoamerican regions over time, unravelling Indigenous, colonial and postcolonial demographic dynamics2-6. We observed variation in runs of homozygosity among genomic regions with different ancestries reflecting distinct demographic histories and, in turn, different distributions of rare deleterious variants. We conducted genome-wide association studies (GWAS) for 22 complex traits and found that several traits are better predicted using the Mexican Biobank GWAS compared to the UK Biobank GWAS7,8. We identified genetic and environmental factors associating with trait variation, such as the length of the genome in runs of homozygosity as a predictor for body mass index, triglycerides, glucose and height. This study provides insights into the genetic histories of individuals in Mexico and dissects their complex trait architectures, both crucial for making precision and preventive medicine initiatives accessible worldwide.
Collapse
Affiliation(s)
- Mashaal Sohail
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico.
- Department of Human Genetics, University of Chicago, Chicago, IL, USA.
- Centro de Ciencias Genómicas (CCG), Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Mexico.
| | - María J Palma-Martínez
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Amanda Y Chong
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Consuelo D Quinto-Cortés
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Carmina Barberena-Jonas
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Santiago G Medina-Muñoz
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Aaron Ragsdale
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
- Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Luis Pablo Cruz-Hervert
- Instituto Nacional de Salud Pública (INSP), Cuernavaca, Mexico
- División de Estudios de Posgrado e Investigación, Facultad de Odontología, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | | | | | | | | | - Andrés Jimenez-Kaufmann
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Hortensia Moreno-Macías
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas UNAM/Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Universidad Autónoma Metropolitana, Mexico City, Mexico
| | - Carlos A Aguilar-Salinas
- Division de Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Kathryn Auckland
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Adrián Cortés
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | | | - Christopher R Gignoux
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Genevieve L Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Selene L Fernández-Valverde
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
- School of Biotechnology and Biomolecular Sciences and the RNA Institute, The University of New South Wales, Sydney, New South Wales, Australia
| | - Adrian V S Hill
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- The Jenner Institute, University of Oxford, Oxford, UK
| | - María Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas UNAM/Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Alexander J Mentzer
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
| | - John Novembre
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | | | - Andrés Moreno-Estrada
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico.
| |
Collapse
|
5
|
Villa-Islas V, Izarraras-Gomez A, Larena M, Campos EMP, Sandoval-Velasco M, Rodríguez-Rodríguez JE, Bravo-Lopez M, Moguel B, Fregel R, Garfias-Morales E, Medina Tretmanis J, Velázquez-Ramírez DA, Herrera-Muñóz A, Sandoval K, Nieves-Colón MA, Zepeda García Moreno G, Villanea FA, Medina EFV, Aguayo-Haro R, Valdiosera C, Ioannidis AG, Moreno-Estrada A, Jay F, Huerta-Sanchez E, Moreno-Mayar JV, Sánchez-Quinto F, Ávila-Arcos MC. Demographic history and genetic structure in pre-Hispanic Central Mexico. Science 2023; 380:eadd6142. [PMID: 37167382 DOI: 10.1126/science.add6142] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Aridoamerica and Mesoamerica are two distinct cultural areas in northern and central Mexico, respectively, that hosted numerous pre-Hispanic civilizations between 2500 BCE and 1521 CE. The division between these regions shifted southward because of severe droughts ~1100 years ago, which allegedly drove a population replacement in central Mexico by Aridoamerican peoples. In this study, we present shotgun genome-wide data from 12 individuals and 27 mitochondrial genomes from eight pre-Hispanic archaeological sites across Mexico, including two at the shifting border of Aridoamerica and Mesoamerica. We find population continuity that spans the climate change episode and a broad preservation of the genetic structure across present-day Mexico for the past 2300 years. Lastly, we identify a contribution to pre-Hispanic populations of northern and central Mexico from two ancient unsampled "ghost" populations.
Collapse
Affiliation(s)
- Viridiana Villa-Islas
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
| | - Alan Izarraras-Gomez
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
| | - Maximilian Larena
- Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | | | - Marcela Sandoval-Velasco
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20560, USA
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Cuidad de México, Mexico
| | | | - Miriam Bravo-Lopez
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
| | - Barbara Moguel
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
- Centro de Geociencias, UNAM Juriquilla, Juriquilla, Querétaro, México
| | - Rosa Fregel
- Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Spain
| | - Ernesto Garfias-Morales
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
| | | | | | | | - Karla Sandoval
- Equity and Gender Office of the Centre for Research and Advanced Studies (CODIGO-C), CINVESTAV, Mexico City, Mexico
| | - Maria A Nieves-Colón
- Unit of Advanced Genomics, National Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico
- Department of Anthropology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | | | - Fernando A Villanea
- Department of Anthropology, University of Colorado Boulder, Boulder, CO, USA
| | | | | | - Cristina Valdiosera
- Departamento de Historia, Geografía y Comunicaciones, Universidad de Burgos, Burgos, Spain
- Department of History and Archaeology, La Trobe University, Melbourne, Australia
| | - Alexander G Ioannidis
- Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA
| | - Andrés Moreno-Estrada
- Unit of Advanced Genomics, National Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Flora Jay
- Laboratoire Interdisciplinaire des Sciences du Numérique, Université Paris-Saclay, CNRS, INRIA, 91400 Orsay, France
| | | | - J Víctor Moreno-Mayar
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | | | - María C Ávila-Arcos
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México (UNAM), Querétaro, México
| |
Collapse
|
6
|
Rivera-Paredez B, Hidalgo-Bravo A, León-Reyes G, Barajas-Olmos F, Martínez-Hernández A, Orozco L, Denova-Gutiérrez E, Salmerón J, Velázquez-Cruz R. The role of single nucleotide variant rs3819817 of the Histidine Ammonia-Lyase gene and 25-Hydroxyvitamin D on bone mineral density, adiposity markers, and skin pigmentation, in Mexican population. J Endocrinol Invest 2023:10.1007/s40618-023-02051-1. [PMID: 36862244 DOI: 10.1007/s40618-023-02051-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 02/24/2023] [Indexed: 03/03/2023]
Abstract
PURPOSE Vitamin D (VD) deficiency and osteoporosis have become a global public health problem. A variant in the Histidine Ammonia-Lyase (HAL) gene has been associated with VD levels and bone mineral density (BMD). However, whether this variant has an influence on VD levels and BMD in Mexican adults remain unclear. METHODS This cross-sectional analysis included 1,905 adults participating in the Health Worker Cohort Study and 164 indigenous postmenopausal women from the Metabolic Analysis in an Indigenous Sample (MAIS) cohort. The rs3819817 variant was genotyped by TaqMan probe assay. Total 25 hydroxyvitamin D levels were measured by DiaSorin Liaison. BMD at the different sites was assessed through dual-energy X-ray absorptiometry. Linear and logistic regression models were performed to evaluate the associations of interest. RESULTS The prevalence of VD deficiency was 41%, showing differences between sexes. Obesity and skin pigmentation were associated with lower levels of VD in males and females. rs3819817-T allele was associated with low levels of 25-hydroxyvitamin D, VD deficiency, and hip and femoral neck BMD values (g/cm2). We found two interactions with VD levels, one between adiposity and rs3819817-T allele (P = 0.017) and another between skin pigmentation and rs3819817-T allele (P = 0.019). In indigenous postmenopausal women, we observed higher VD levels in the southern region compared to the northern region (P < 0.001); however, we did not observe differences by genotype. CONCLUSION Our findings confirm that the genetic variant rs3819817 has an essential function in VD levels and BMD and suggests a role in skin pigmentation in the Mexican population.
Collapse
Affiliation(s)
- B Rivera-Paredez
- Centro de Investigación en Políticas, Población y Salud de la Facultad de Medicina de la Universidad Nacional Autónoma de México (UNAM), Mexico City, México
| | - A Hidalgo-Bravo
- Departamento de Genética, Instituto Nacional de Rehabilitación, Mexico City, México
| | - G León-Reyes
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México
| | - F Barajas-Olmos
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México
| | - A Martínez-Hernández
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México
| | - L Orozco
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México
| | - E Denova-Gutiérrez
- Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública (INSP), Cuernavaca, Morelos, México
| | - J Salmerón
- Centro de Investigación en Políticas, Población y Salud de la Facultad de Medicina de la Universidad Nacional Autónoma de México (UNAM), Mexico City, México
| | - R Velázquez-Cruz
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México.
| |
Collapse
|
7
|
Fabi SG, Hernandez C, Montes JR, Cotofana S, Dayan S. Aesthetic considerations when treating the Latin American patient: Thriving in diversity international roundtable series. J Cosmet Dermatol 2023; 22:593-602. [PMID: 36468194 DOI: 10.1111/jocd.15516] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/10/2022] [Accepted: 11/03/2022] [Indexed: 12/07/2022]
Abstract
BACKGROUND The Hispanic/Latin American population is the fastest growing non-Caucasian group in the United States. Within this group, demand for aesthetic procedures is on the rise. High ethnic variability among these patients influences treatment approaches and patient priorities. Understanding these ethnic differences is central to providing optimal care. AIMS To discuss similarities and differences in anatomy and treatment preferences of Hispanic/Latin American patients both within the United States and internationally and explore how these differences may influence or inform aesthetic practices. PATIENTS/METHODS In support of clinicians who wish to serve a diverse patient population, a 6-part, international roundtable series focused on diversity in aesthetics was conducted from August 24, 2021 to May 16, 2022. In this roundtable, held in Medellin, Columbia, expert clinicians from across Latin America and the United States were invited to contribute and share best practices. RESULTS The results of the second roundtable in the series, the Latin American Patient, are described here. A special emphasis is placed on procedures that address the most commonly encountered concerns in these patients. CONCLUSIONS Hispanic and Latino patients represent a broad demographic with unique anatomical features, aesthetic preferences, and treatment priorities. Clinicians should consider these differences when treating this patient population.
Collapse
Affiliation(s)
| | | | - José Raúl Montes
- Ophthalmology Department, University of Puerto Rico School of Medicine, San Juan, Puerto Rico.,Jose Raul Montes Eyes & Facial Rejuvenation, San Juan, Puerto Rico
| | | | - Steve Dayan
- Division of Facial Plastic and Reconstructive Surgery, Department of Otolaryngology, University of Illinois at Chicago, Chicago, Illinois, USA
| |
Collapse
|
8
|
De Oliveira TC, Secolin R, Lopes-Cendes I. A review of ancestrality and admixture in Latin America and the caribbean focusing on native American and African descendant populations. Front Genet 2023; 14:1091269. [PMID: 36741309 PMCID: PMC9893294 DOI: 10.3389/fgene.2023.1091269] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 01/09/2023] [Indexed: 01/21/2023] Open
Abstract
Genomics can reveal essential features about the demographic evolution of a population that may not be apparent from historical elements. In recent years, there has been a significant increase in the number of studies applying genomic epidemiological approaches to understand the genetic structure and diversity of human populations in the context of demographic history and for implementing precision medicine. These efforts have traditionally been applied predominantly to populations of European origin. More recently, initiatives in the United States and Africa are including more diverse populations, establishing new horizons for research in human populations with African and/or Native ancestries. Still, even in the most recent projects, the under-representation of genomic data from Latin America and the Caribbean (LAC) is remarkable. In addition, because the region presents the most recent global miscegenation, genomics data from LAC may add relevant information to understand population admixture better. Admixture in LAC started during the colonial period, in the 15th century, with intense miscegenation between European settlers, mainly from Portugal and Spain, with local indigenous and sub-Saharan Africans brought through the slave trade. Since, there are descendants of formerly enslaved and Native American populations in the LAC territory; they are considered vulnerable populations because of their history and current living conditions. In this context, studying LAC Native American and African descendant populations is important for several reasons. First, studying human populations from different origins makes it possible to understand the diversity of the human genome better. Second, it also has an immediate application to these populations, such as empowering communities with the knowledge of their ancestral origins. Furthermore, because knowledge of the population genomic structure is an essential requirement for implementing genomic medicine and precision health practices, population genomics studies may ensure that these communities have access to genomic information for risk assessment, prevention, and the delivery of optimized treatment; thus, helping to reduce inequalities in the Western Hemisphere. Hoping to set the stage for future studies, we review different aspects related to genetic and genomic research in vulnerable populations from LAC countries.
Collapse
Affiliation(s)
- Thais C. De Oliveira
- Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil
| | - Rodrigo Secolin
- Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil
| | - Iscia Lopes-Cendes
- Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil
| |
Collapse
|
9
|
Challenges in selecting admixture models and marker sets to infer genetic ancestry in a Brazilian admixed population. Sci Rep 2022; 12:21240. [PMID: 36481695 PMCID: PMC9731996 DOI: 10.1038/s41598-022-25521-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
The inference of genetic ancestry plays an increasingly prominent role in clinical, population, and forensic genetics studies. Several genotyping strategies and analytical methodologies have been developed over the last few decades to assign individuals to specific biogeographic regions. However, despite these efforts, ancestry inference in populations with a recent history of admixture, such as those in Brazil, remains a challenge. In admixed populations, proportion and components of genetic ancestry vary on different levels: (i) between populations; (ii) between individuals of the same population, and (iii) throughout the individual's genome. The present study evaluated 1171 admixed Brazilian samples to compare the genetic ancestry inferred by tri-/tetra-hybrid admixture models and evaluated different marker sets from those with small numbers of ancestry informative markers panels (AIMs), to high-density SNPs (HDSNP) and whole-genome-sequence (WGS) data. Analyses revealed greater variation in the correlation coefficient of ancestry components within and between admixed populations, especially for minority ancestral components. We also observed positive correlation between the number of markers in the AIMs panel and HDSNP/WGS. Furthermore, the greater the number of markers, the more accurate the tri-/tetra-hybrid admixture models.
Collapse
|
10
|
Cerrato-Izaguirre D, Chirino YI, Prada D, Quezada-Maldonado EM, Herrera LA, Hernández-Guerrero A, Alonso-Larraga JO, Herrera-Goepfert R, Oñate-Ocaña LF, Cantú-de-León D, Meneses-García A, Basurto-Lozada P, Robles-Espinoza CD, Camacho J, García-Cuellar CM, Sánchez-Pérez Y. Somatic Mutational Landscape in Mexican Patients: CDH1 Mutations and chr20q13.33 Amplifications Are Associated with Diffuse-Type Gastric Adenocarcinoma. Int J Mol Sci 2022; 23:11116. [PMID: 36232418 PMCID: PMC9570354 DOI: 10.3390/ijms231911116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/15/2022] [Accepted: 09/19/2022] [Indexed: 12/04/2022] Open
Abstract
The Hispanic population, compared with other ethnic groups, presents a more aggressive gastric cancer phenotype with higher frequency of diffuse-type gastric adenocarcinoma (GA); this could be related to the mutational landscape of GA in these patients. Using whole-exome sequencing, we sought to present the mutational landscape of GA from 50 Mexican patients who were treated at The Instituto Nacional de Cancerología from 2019 to 2020. We performed a comprehensive statistical analysis to explore the relationship of the genomic variants and clinical data such as tumor histology and presence of signet-ring cell, H. pylori, and EBV. We describe a potentially different mutational landscape between diffuse and intestinal GA in Mexican patients. Patients with intestinal-type GA tended to present a higher frequency of NOTCH1 mutations, copy number gains in cytobands 13.14, 10q23.33, and 12q25.1, and copy number losses in cytobands 7p12, 14q24.2, and 11q13.1; whereas patients with diffuse-type GA tended to present a high frequency of CDH1 mutations and CNV gains in cytobands 20q13.33 and 22q11.21. This is the first description of a mutational landscape of GA in Mexican patients to better understand tumorigenesis in Hispanic patients and lay the groundwork for discovering potential biomarkers and therapeutic targets.
Collapse
Affiliation(s)
- Dennis Cerrato-Izaguirre
- Departamento de Farmacología, Centro de Investigación y de Estudios Avanzados del I.P.N. (CINVESTAV), Avenida Instituto Politécnico Nacional No. 2508, Ciudad de México CP. 07360, Mexico
- Subdirección de Investigación Básica, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| | - Yolanda I. Chirino
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Los Reyes Iztacala, Tlalnepantla de Baz, Estado de México CP. 54090, Mexico
| | - Diddier Prada
- Subdirección de Investigación Básica, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| | - Ericka Marel Quezada-Maldonado
- Subdirección de Investigación Básica, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| | - Luis A Herrera
- Instituto Nacional de Medicina Genómica (INMEGEN), Periférico Sur No. 4809, Arenal Tepepan, Tlalpan, Ciudad de México CP. 14610, Mexico
| | - Angélica Hernández-Guerrero
- Servicio de Endoscopía, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| | - Juan Octavio Alonso-Larraga
- Servicio de Endoscopía, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| | - Roberto Herrera-Goepfert
- Departamento de Patología, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| | - Luis F. Oñate-Ocaña
- Subdirección de Investigación Clínica, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| | - David Cantú-de-León
- Dirección de Investigación, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| | - Abelardo Meneses-García
- Dirección General, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| | - Patricia Basurto-Lozada
- Laboratorio Internacional de Investigación Sobre el Genoma Humano, Universidad Nacional Autónoma de México, Santiago de Querétaro CP. 76010, Mexico
| | - Carla Daniela Robles-Espinoza
- Laboratorio Internacional de Investigación Sobre el Genoma Humano, Universidad Nacional Autónoma de México, Santiago de Querétaro CP. 76010, Mexico
- Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK
| | - Javier Camacho
- Departamento de Farmacología, Centro de Investigación y de Estudios Avanzados del I.P.N. (CINVESTAV), Avenida Instituto Politécnico Nacional No. 2508, Ciudad de México CP. 07360, Mexico
| | - Claudia M. García-Cuellar
- Subdirección de Investigación Básica, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| | - Yesennia Sánchez-Pérez
- Subdirección de Investigación Básica, Instituto Nacional de Cancerología (INCan), San Fernando No. 22, Tlalpan, Ciudad de México CP. 14080, Mexico
| |
Collapse
|
11
|
Jiménez-Kaufmann A, Chong AY, Cortés A, Quinto-Cortés CD, Fernandez-Valverde SL, Ferreyra-Reyes L, Cruz-Hervert LP, Medina-Muñoz SG, Sohail M, Palma-Martinez MJ, Delgado-Sánchez G, Mongua-Rodríguez N, Mentzer AJ, Hill AVS, Moreno-Macías H, Huerta-Chagoya A, Aguilar-Salinas CA, Torres M, Kim HL, Kalsi N, Schuster SC, Tusié-Luna T, Del-Vecchyo DO, García-García L, Moreno-Estrada A. Imputation Performance in Latin American Populations: Improving Rare Variants Representation With the Inclusion of Native American Genomes. Front Genet 2022; 12:719791. [PMID: 35046991 PMCID: PMC8762266 DOI: 10.3389/fgene.2021.719791] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 11/01/2021] [Indexed: 11/13/2022] Open
Abstract
Current Genome-Wide Association Studies (GWAS) rely on genotype imputation to increase statistical power, improve fine-mapping of association signals, and facilitate meta-analyses. Due to the complex demographic history of Latin America and the lack of balanced representation of Native American genomes in current imputation panels, the discovery of locally relevant disease variants is likely to be missed, limiting the scope and impact of biomedical research in these populations. Therefore, the necessity of better diversity representation in genomic databases is a scientific imperative. Here, we expand the 1,000 Genomes reference panel (1KGP) with 134 Native American genomes (1KGP + NAT) to assess imputation performance in Latin American individuals of mixed ancestry. Our panel increased the number of SNPs above the GWAS quality threshold, thus improving statistical power for association studies in the region. It also increased imputation accuracy, particularly in low-frequency variants segregating in Native American ancestry tracts. The improvement is subtle but consistent across countries and proportional to the number of genomes added from local source populations. To project the potential improvement with a higher number of reference genomes, we performed simulations and found that at least 3,000 Native American genomes are needed to equal the imputation performance of variants in European ancestry tracts. This reflects the concerning imbalance of diversity in current references and highlights the contribution of our work to reducing it while complementing efforts to improve global equity in genomic research.
Collapse
Affiliation(s)
- Andrés Jiménez-Kaufmann
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | - Amanda Y Chong
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Adrián Cortés
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Consuelo D Quinto-Cortés
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | - Selene L Fernandez-Valverde
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | | | | | - Santiago G Medina-Muñoz
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | - Mashaal Sohail
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico.,Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Mexico
| | - María J Palma-Martinez
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | | | | | - Alexander J Mentzer
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Adrian V S Hill
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.,Nuffield Department of Medicine, The Jenner Institute, University of Oxford, Oxford, United Kingdom
| | - Hortensia Moreno-Macías
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico.,Departamento de Economía, Universidad Autónoma Metropolitana, Mexico City, Mexico
| | - Alicia Huerta-Chagoya
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico
| | - Carlos A Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Unidad de Investigación de Enfermedades Metabólicas, Mexico City, Mexico.,Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico
| | - Michael Torres
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | - Hie Lim Kim
- Singapore Centre on Environmental Life Sciences Engineering, Nanyang Technological University, Singapore.,GenomeAsia 100K (GA100K) Consortium, Singapore.,School of Biological Science, Nanyang Technological University, Singapore
| | - Namrata Kalsi
- Singapore Centre on Environmental Life Sciences Engineering, Nanyang Technological University, Singapore.,GenomeAsia 100K (GA100K) Consortium, Singapore
| | - Stephan C Schuster
- Singapore Centre on Environmental Life Sciences Engineering, Nanyang Technological University, Singapore.,GenomeAsia 100K (GA100K) Consortium, Singapore.,School of Biological Science, Nanyang Technological University, Singapore
| | - Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico.,Instituto de Investigaciones Biomédicas de la UNAM, Mexico City, Mexico
| | - Diego Ortega Del-Vecchyo
- Laboratorio Internacional de Investigación sobre el Genoma Humano (LIIGH), UNAM, Juriquilla, Mexico
| | | | - Andrés Moreno-Estrada
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| |
Collapse
|
12
|
Gómez R, Tapia-Guerrero YS, Cisneros B, Orozco L, Cerecedo-Zapata C, Mendoza-Caamal E, Leyva-Gómez G, Leyva-García N, Velázquez-Pérez L, Magaña JJ. Genetic Distribution of Five Spinocerebellar Ataxia Microsatellite Loci in Mexican Native American Populations and Its Impact on Contemporary Mestizo Populations. Genes (Basel) 2022; 13:genes13010157. [PMID: 35052497 PMCID: PMC8775409 DOI: 10.3390/genes13010157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/04/2022] [Accepted: 01/13/2022] [Indexed: 12/17/2022] Open
Abstract
Spinocerebellar ataxias (SCAs) conform a heterogeneous group of neurodegenerative disorders with autosomal dominant inheritance. Five of the most frequent SCAs are caused by a CAG repeat expansion in the exons of specific genes. The SCAs incidence and the distribution of polymorphic CAG alleles vary among populations and ethnicities. Thus, characterization of the genetic architecture of ethnically diverse populations, which have undergone recent admixture and demographic events, could facilitate the identification of genetic risk factors. Owing to the great ethnic diversity of the Mexican population, this study aimed to analyze the allele frequencies of five SCA microsatellite loci (SCA1, SCA2, SCA3, SCA6, and SCA7) in eleven Mexican Native American (MNA) populations. Data from the literature were used to compare the allelic distribution of SCA loci with worldwide populations. The SCA loci allelic frequencies evidenced a certain genetic homogeneity in the MNA populations, except for Mayans, who exhibited distinctive genetic profiles. Neither pathological nor large normal alleles were found in MNA populations, except for the SCA2 pre-mutated allele in the Zapotec population. Collectively, our findings demonstrated the contribution of the MNA ancestry in shaping the genetic structure of contemporary Mexican Mestizo populations. Our results also suggest that Native American ancestry has no impact on the origin of SCAs in the Mexican population. Instead, the acquisition of pathological SCA alleles could be associated with European migration.
Collapse
Affiliation(s)
- Rocío Gómez
- Department of Toxicology, CINVESTAV-IPN, Mexico City 07360, Mexico;
| | - Yessica S. Tapia-Guerrero
- Laboratory of Genomic Medicine, Department of Genetics, National Rehabilitation Institute-Luis Guillermo Ibarra Ibarra (INR-LGII), Mexico City 14389, Mexico; (Y.S.T.-G.); (C.C.-Z.); (N.L.-G.)
| | - Bulmaro Cisneros
- Department of Genetics and Molecular Biology, CINVESTAV-IPN, Mexico City 07360, Mexico;
| | - Lorena Orozco
- Laboratory of Immunogenomics and Metabolic Diseases, National Genomic Medicine Institute (INMEGEN), Mexico City 14610, Mexico; (L.O.); (E.M.-C.)
| | - César Cerecedo-Zapata
- Laboratory of Genomic Medicine, Department of Genetics, National Rehabilitation Institute-Luis Guillermo Ibarra Ibarra (INR-LGII), Mexico City 14389, Mexico; (Y.S.T.-G.); (C.C.-Z.); (N.L.-G.)
- Rehabilitation and Social Inclusion Center of Veracruz (CRIS-DIF), Xalapa, Veracruz 91097, Mexico
| | - Elvia Mendoza-Caamal
- Laboratory of Immunogenomics and Metabolic Diseases, National Genomic Medicine Institute (INMEGEN), Mexico City 14610, Mexico; (L.O.); (E.M.-C.)
| | - Gerardo Leyva-Gómez
- Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México (UNAM); Mexico City 04510, Mexico;
| | - Norberto Leyva-García
- Laboratory of Genomic Medicine, Department of Genetics, National Rehabilitation Institute-Luis Guillermo Ibarra Ibarra (INR-LGII), Mexico City 14389, Mexico; (Y.S.T.-G.); (C.C.-Z.); (N.L.-G.)
| | | | - Jonathan J. Magaña
- Laboratory of Genomic Medicine, Department of Genetics, National Rehabilitation Institute-Luis Guillermo Ibarra Ibarra (INR-LGII), Mexico City 14389, Mexico; (Y.S.T.-G.); (C.C.-Z.); (N.L.-G.)
- Department of Bioengineering, School of Engineering and Sciences, Tecnologico de Monterrey, Campus Ciudad de México (ITESM-CCM), Mexico City 14380, Mexico
- Correspondence: ; Tel.: +52-(55)-5999-1000 (ext. 14708)
| |
Collapse
|
13
|
The genomic landscape of Mexican Indigenous populations brings insights into the peopling of the Americas. Nat Commun 2021; 12:5942. [PMID: 34642312 PMCID: PMC8511047 DOI: 10.1038/s41467-021-26188-w] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 09/22/2021] [Indexed: 12/30/2022] Open
Abstract
The genetic makeup of Indigenous populations inhabiting Mexico has been strongly influenced by geography and demographic history. Here, we perform a genome-wide analysis of 716 newly genotyped individuals from 60 of the 68 recognized ethnic groups in Mexico. We show that the genetic structure of these populations is strongly influenced by geography, and our demographic reconstructions suggest a decline in the population size of all tested populations in the last 15-30 generations. We find evidence that Aridoamerican and Mesoamerican populations diverged roughly 4-9.9 ka, around the time when sedentary farming started in Mesoamerica. Comparisons with ancient genomes indicate that the Upward Sun River 1 (USR1) individual is an outgroup to Mexican/South American Indigenous populations, whereas Anzick-1 was more closely related to Mesoamerican/South American populations than to those from Aridoamerica, showing an even more complex history of divergence than recognized so far.
Collapse
|
14
|
Ojeda-Granados C, Abondio P, Setti A, Sarno S, Gnecchi-Ruscone GA, González-Orozco E, De Fanti S, Jiménez-Kaufmann A, Rangel-Villalobos H, Moreno-Estrada A, Sazzini M. Dietary, Cultural and Pathogens-Related Selective Pressures Shaped Differential Adaptive Evolution Among Native Mexican Populations. Mol Biol Evol 2021; 39:6379730. [PMID: 34597392 PMCID: PMC8763094 DOI: 10.1093/molbev/msab290] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Native American genetic ancestry has been remarkably implicated with increased risk of diverse health issues in several Mexican populations, especially in relation to the dramatic changes in environmental, dietary, and cultural settings they have recently undergone. In particular, the effects of these ecological transitions and Westernization of lifestyles have been investigated so far predominantly on Mestizo individuals. Nevertheless, indigenous groups, rather than admixed Mexicans, have plausibly retained the highest proportions of genetic components shaped by natural selection in response to the ancient milieu experienced by Mexican ancestors during their pre-Columbian evolutionary history. These formerly adaptive variants have the potential to represent the genetic determinants of some biological traits that are peculiar to Mexican people, as well as a reservoir of loci with possible biomedical relevance. To test such a hypothesis, we used genome-wide genotype data to infer the unique adaptive evolution of Native Mexican groups selected as reasonable descendants of the main pre-Columbian Mexican civilizations. A combination of haplotype-based and gene-network analyses enabled us to detect genomic signatures ascribable to polygenic adaptive traits plausibly evolved by the main genetic clusters of Mexican indigenous populations to cope with local environmental and/or cultural conditions. Some of these adaptations were found to play a role in modulating the susceptibility/resistance of these groups to certain pathological conditions, thus providing new evidence that diverse selective pressures have contributed to shape the current biological and disease-risk patterns of present-day Native and Mestizo Mexican populations.
Collapse
Affiliation(s)
- Claudia Ojeda-Granados
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy.,Department of Molecular Biology in Medicine, Civil Hospital of Guadalajara "Fray Antonio Alcalde" & Health Sciences Center, University of Guadalajara, Jalisco, Mexico
| | - Paolo Abondio
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy
| | - Alice Setti
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy.,Laboratory of Molecular Virology, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Povo-Trento, Italy
| | - Stefania Sarno
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy
| | - Guido Alberto Gnecchi-Ruscone
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy.,Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Eduardo González-Orozco
- National Laboratory of Genomics for Biodiversity (LANGEBIO), UGA, CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Sara De Fanti
- Interdepartmental Centre Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Italy
| | - Andres Jiménez-Kaufmann
- National Laboratory of Genomics for Biodiversity (LANGEBIO), UGA, CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Héctor Rangel-Villalobos
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara, Ocotlán, Jalisco, Mexico
| | - Andrés Moreno-Estrada
- National Laboratory of Genomics for Biodiversity (LANGEBIO), UGA, CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Marco Sazzini
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy.,Interdepartmental Centre Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Italy
| |
Collapse
|
15
|
Rosas-Madrigal S, Villarreal-Molina MT, Flores-Rivera J, Rivas-Alonso V, Macias-Kauffer LR, Ordoñez G, Chima-Galán MDC, Acuña-Alonzo V, Macín-Pérez G, Barquera R, Granados J, Valle-Rios R, Corona T, Carnevale A, Romero-Hidalgo S. Interaction of HLA Class II rs9272219 and TMPO rs17028450 (Arg690Cys) Variants Affects Neuromyelitis Optica Spectrum Disorder Susceptibility in an Admixed Mexican Population. Front Genet 2021; 12:647343. [PMID: 34335680 PMCID: PMC8320513 DOI: 10.3389/fgene.2021.647343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 06/23/2021] [Indexed: 12/02/2022] Open
Abstract
Neuromyelitis Optica Spectrum Disorder (NMOSD) is a demyelinating autoimmune disease of the central nervous system, more prevalent in individuals of non-European ancestry. Few studies have analyzed genetic risk factors in NMOSD, and HLA class II gene variation has been associated NMOSD risk in various populations including Mexicans. Thymopoietin (TMPO) has not been tested as a candidate gene for NMOSD or other autoimmune disease, however, experimental evidence suggests this gene may be involved in negative selection of autoreactive T cells and autoimmunity. We thus investigated whether the missense TMPO variant rs17028450 (Arg630Cys, frequent in Latin America) is associated with NMOSD, and whether this variant shows an interaction with HLA-class II rs9272219, previously associated with NMOSD risk. A total of 119 Mexican NMOSD patients, 1208 controls and 357 Native Mexican individuals were included. The HLA rs9272219 “T” risk allele frequency ranged from 21 to 68%, while the rs17028450 “T” minor allele frequency was as high as 18% in Native Mexican groups. Both rs9272219 and rs17028450 were significantly associated with NMOSD risk under additive models (OR = 2.48; p = 8 × 10–10 and OR = 1.59; p = 0.0075, respectively), and a significant interaction between both variants was identified with logistic regression models (p = 0.048). Individuals bearing both risk alleles had an estimated 3.9-fold increased risk of NMOSD. To our knowledge, this is the first study reporting an association of TMPO gene variation with an autoimmune disorder and the interaction of specific susceptibility gene variants, that may contribute to the genetic architecture of NMOSD in admixed Latin American populations.
Collapse
Affiliation(s)
- Sandra Rosas-Madrigal
- Laboratorio de Enfermedades Mendelianas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | | | - José Flores-Rivera
- Laboratorio Clínico de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez" (INNN), Mexico City, Mexico
| | - Verónica Rivas-Alonso
- Laboratorio Clínico de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez" (INNN), Mexico City, Mexico
| | - Luis Rodrigo Macias-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a La Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | | | | | | | | | - Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany
| | - Julio Granados
- Departamento de Trasplantes, Instituto Nacional de Ciencias Medicas y Nutrición "Salvador Zubirán", Mexico City, Mexico
| | - Ricardo Valle-Rios
- División de Investigación, Facultad de Medicina, Unidad de Investigación en Inmunología y Proteómica, Hospital Infantil de México Federico Gómez, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Teresa Corona
- Laboratorio Clínico de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez" (INNN), Mexico City, Mexico
| | - Alessandra Carnevale
- Laboratorio de Enfermedades Mendelianas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Sandra Romero-Hidalgo
- Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| |
Collapse
|
16
|
Ortega-Mora EI, Caballero-Sánchez U, Román-López TV, Rosas-Escobar CB, González-Barrios JA, Romero-Hidalgo S, Méndez-Díaz M, Prospéro-García OE, Ruiz-Contreras AE. Allele-dosage genetic polymorphisms of cannabinoid receptor 1 predict attention, but not working memory performance in humans. Acta Psychol (Amst) 2021; 216:103299. [PMID: 33799104 DOI: 10.1016/j.actpsy.2021.103299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 03/05/2021] [Accepted: 03/17/2021] [Indexed: 11/29/2022] Open
Abstract
Attention and working memory (WM) are under high genetic regulation. Single nucleotide polymorphisms (SNPs) of the CNR1 gene, that encode for CB1R, have previously been shown to be related with individual differences in attentional control and WM. However, it remains unclear whether there is an allele-dosage or a dominant contribution of polymorphisms of CNR1 affecting attention and WM performance. This study evaluated the associations between attention and WM performance and three SNPs of CNR1: rs1406977, rs2180619, and rs1049353, previously associated with both processes. Healthy volunteers (n = 127) were asked to perform the Attention Network Task (ANT) to evaluate their overall attention and alerting, orienting, and executive systems, and the n-back task for evaluating their WM. All subjects were genotyped using qPCR with TaqMan assays; and dominant and additive models were assessed using the risk alleles of each SNP as the predictor variable. Results showed an individual association of the three SNPs with attention performance, but the composite genotype by the three alleles had the greatest contribution. Moreover, the additive-dosage model showed that for each G-allele added to the genotypic configuration, there was an increase in the percentage of correct responses respect to carriers who have no risk alleles in their genotypic configuration. The number of risk alleles in the genotypic configurations did not predict efficiency in any of the attention systems, nor in WM performance. Our model showed a contribution of three single nucleotide polymorphisms of the CNR1 gene to explain 9% of the variance of attention in an additive manner.
Collapse
Affiliation(s)
- Elsa Ivett Ortega-Mora
- Lab. Neurogenómica Cognitiva, Coord. Psicobiología y Neurociencias, Fac. Psicología, Universidad Nacional Autónoma de México (UNAM), Mexico
| | - Ulises Caballero-Sánchez
- Lab. Neurogenómica Cognitiva, Coord. Psicobiología y Neurociencias, Fac. Psicología, Universidad Nacional Autónoma de México (UNAM), Mexico
| | - Talía V Román-López
- Lab. Neurogenómica Cognitiva, Coord. Psicobiología y Neurociencias, Fac. Psicología, Universidad Nacional Autónoma de México (UNAM), Mexico
| | - Cintia B Rosas-Escobar
- Lab. Neurogenómica Cognitiva, Coord. Psicobiología y Neurociencias, Fac. Psicología, Universidad Nacional Autónoma de México (UNAM), Mexico
| | - Juan Antonio González-Barrios
- Lab. Medicina Genómica, Hospital Regional 1o de Octubre, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico
| | - Sandra Romero-Hidalgo
- Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica, Mexico
| | | | | | - Alejandra E Ruiz-Contreras
- Lab. Neurogenómica Cognitiva, Coord. Psicobiología y Neurociencias, Fac. Psicología, Universidad Nacional Autónoma de México (UNAM), Mexico.
| |
Collapse
|
17
|
Aguilar-Ordoñez I, Pérez-Villatoro F, García-Ortiz H, Barajas-Olmos F, Ballesteros-Villascán J, González-Buenfil R, Fresno C, Garcíarrubio A, Fernández-López JC, Tovar H, Hernández-Lemus E, Orozco L, Soberón X, Morett E. Whole genome variation in 27 Mexican indigenous populations, demographic and biomedical insights. PLoS One 2021; 16:e0249773. [PMID: 33831079 PMCID: PMC8031408 DOI: 10.1371/journal.pone.0249773] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 03/24/2021] [Indexed: 12/12/2022] Open
Abstract
There has been limited study of Native American whole genome diversity to date, which impairs effective implementation of personalized medicine and a detailed description of its demographic history. Here we report high coverage whole genome sequencing of 76 unrelated individuals, from 27 indigenous groups across Mexico, with more than 97% average Native American ancestry. On average, each individual has 3.26 million Single Nucleotide Variants and short indels, that together comprise a catalog of 9,737,152 variants, 44,118 of which are novel. We report 497 common Single Nucleotide Variants (with allele frequency > 5%) mapped to drug responses and 316,577 in enhancer or promoter elements; interestingly we found some of these enhancer variants in PPARG, a nuclear receptor involved in highly prevalent health problems in Mexican population, such as obesity, diabetes, and insulin resistance. By detecting signals of positive selection we report 24 enriched key pathways under selection, most of them related to immune mechanisms. No missense variants in ACE2, the receptor responsible for the entry of the SARS CoV-2 virus, were found in any individual. Population genomics and phylogenetic analyses demonstrated stratification in a Northern-Central-Southern axis, with major substructure in the Central region. The Seri, a northern group with the most genetic divergence in our study, showed a distinctive genomic context with the most novel variants, and the most population specific genotypes. Genome-wide analysis showed that the average haplotype blocks are longer in Native Mexicans than in other world populations. With this dataset we describe previously undetected population level variation in Native Mexicans, helping to reduce the gap in genomic data representation of such groups.
Collapse
Affiliation(s)
- Israel Aguilar-Ordoñez
- Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Morelos, México
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México
| | - Fernando Pérez-Villatoro
- Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Morelos, México
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México
- Winter Genomics, Mexico City, México
| | | | | | | | - Ram González-Buenfil
- Benemérita Universidad Autónoma de Puebla (BUAP), Puebla de Zaragoza, Puebla, México
| | - Cristobal Fresno
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México
| | - Alejandro Garcíarrubio
- Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Morelos, México
| | | | - Hugo Tovar
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México
| | | | - Lorena Orozco
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México
| | - Xavier Soberón
- Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Morelos, México
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, México
| | - Enrique Morett
- Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Morelos, México
- * E-mail:
| |
Collapse
|
18
|
Ávila-Arcos MC, McManus KF, Sandoval K, Rodríguez-Rodríguez JE, Villa-Islas V, Martin AR, Luisi P, Peñaloza-Espinosa RI, Eng C, Huntsman S, Burchard EG, Gignoux CR, Bustamante CD, Moreno-Estrada A. Population History and Gene Divergence in Native Mexicans Inferred from 76 Human Exomes. Mol Biol Evol 2021; 37:994-1006. [PMID: 31848607 PMCID: PMC7086176 DOI: 10.1093/molbev/msz282] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Native American genetic variation remains underrepresented in most catalogs of human genome sequencing data. Previous genotyping efforts have revealed that Mexico’s Indigenous population is highly differentiated and substructured, thus potentially harboring higher proportions of private genetic variants of functional and biomedical relevance. Here we have targeted the coding fraction of the genome and characterized its full site frequency spectrum by sequencing 76 exomes from five Indigenous populations across Mexico. Using diffusion approximations, we modeled the demographic history of Indigenous populations from Mexico with northern and southern ethnic groups splitting 7.2 KYA and subsequently diverging locally 6.5 and 5.7 KYA, respectively. Selection scans for positive selection revealed BCL2L13 and KBTBD8 genes as potential candidates for adaptive evolution in Rarámuris and Triquis, respectively. BCL2L13 is highly expressed in skeletal muscle and could be related to physical endurance, a well-known phenotype of the northern Mexico Rarámuri. The KBTBD8 gene has been associated with idiopathic short stature and we found it to be highly differentiated in Triqui, a southern Indigenous group from Oaxaca whose height is extremely low compared to other Native populations.
Collapse
Affiliation(s)
- María C Ávila-Arcos
- International Laboratory for Human Genome Research (LIIGH), UNAM Juriquilla, Queretaro, Mexico.,Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Kimberly F McManus
- Department of Biology, Stanford University, Stanford, CA.,Department of Biomedical Informatics, Stanford School of Medicine, Stanford, CA
| | - Karla Sandoval
- National Laboratory of Genomics for Biodiversity (LANGEBIO), UGA, CINVESTAV, Irapuato, Guanajuato 36821, Mexico
| | | | - Viridiana Villa-Islas
- International Laboratory for Human Genome Research (LIIGH), UNAM Juriquilla, Queretaro, Mexico
| | - Alicia R Martin
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Pierre Luisi
- Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas, Consejo Nacional de Investigaciones Científicas y Técnicas, Córdoba, Argentina.,Facultad de Filosofía y Humanidades, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Rosenda I Peñaloza-Espinosa
- Division of Biological and Health Sciences, Department of Biological Systems, Universidad Autónoma Metropolitana-Xochimilco, Mexico City, Mexico
| | - Celeste Eng
- Department Bioengineering & Therapeutic Sciences and Medicine, University of California San Francisco, San Francisco, CA
| | - Scott Huntsman
- Department Bioengineering & Therapeutic Sciences and Medicine, University of California San Francisco, San Francisco, CA
| | - Esteban G Burchard
- Department Bioengineering & Therapeutic Sciences and Medicine, University of California San Francisco, San Francisco, CA
| | - Christopher R Gignoux
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Denver, CO
| | - Carlos D Bustamante
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Andrés Moreno-Estrada
- National Laboratory of Genomics for Biodiversity (LANGEBIO), UGA, CINVESTAV, Irapuato, Guanajuato 36821, Mexico
| |
Collapse
|
19
|
Differences in MTHFR and LRRK2 variant's association with sporadic Parkinson's disease in Mexican Mestizos correlated to Native American ancestry. NPJ Parkinsons Dis 2021; 7:13. [PMID: 33574311 PMCID: PMC7878860 DOI: 10.1038/s41531-021-00157-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 01/08/2021] [Indexed: 01/30/2023] Open
Abstract
Parkinson's disease (PD), a common neurodegenerative disorder, has a complex etiology where environmental and genetic factors intervene. While a number of genes and variants have been identified in recent decades as causative or protective agents of this condition, a limited number of studies have been conducted in mixed populations, such as Mexican Mestizos. The historical convergence of two founding groups and three ethnicities, and the increasing north-to-south gradient of Native American ancestry in Mexico resulted in a subpopulation structure with considerable genetic diversity. In this work, we investigate the influence of 21 known susceptibility variants for PD. Our case-control study, with a cohort of 311 Mexican Mestizo subjects, found a significant risk association for the variant rs1491942 in LRRK2. However, when stratification by ancestry was performed, a risk effect for MTHFR rs1801133 was observed only in the group with the highest percentage of European ancestry, and the PD risk effect for LRRK2 rs1491942 was significant in subjects with a higher ratio of Native American ancestry. Meta-analyses of these SNP revealed the effect of LRRK2 rs1491942 to be even more significant than previously described in populations of European descent. Although corroboration is necessary, our findings suggest that polymorphism rs1491942 may be useful as a risk marker of PD in Mexican Mestizos with greater Native American ancestry. The absence of associations with the remaining known risk factors is, in itself, a relevant finding and invites further research into the shared risk factors' role in the pathophysiological mechanisms of this neurodegenerative disorder.
Collapse
|
20
|
Camorlinga-Ponce M, Gómez-Delgado A, Aguilar-Zamora E, Torres RC, Giono-Cerezo S, Escobar-Ogaz A, Torres J. Phenotypic and Genotypic Antibiotic Resistance Patterns in Helicobacter pylori Strains From Ethnically Diverse Population in México. Front Cell Infect Microbiol 2021; 10:539115. [PMID: 33643927 PMCID: PMC7905308 DOI: 10.3389/fcimb.2020.539115] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 12/30/2020] [Indexed: 12/11/2022] Open
Abstract
Helicobacter pylori strains carry a range of mutations in genes that confer antimicrobial resistance and restrict the available options to treat the infection. Latin America is a region that conserve a large number of indigenous communities relatively isolated that practice a traditional medicine without consumption of drugs. We hypothesized that rates of antibiotic resistance are lower in these communities. Recent progress in whole-genome sequencing has allowed the study of drug susceptibility by searching for the known mutations associated with antibiotic resistance. The aim of this work was to study trends of antibiotic resistance over a 20-year period in Mexican H. pylori strains and to compare susceptibility between strains from Mexican mestizos and from indigenous population; we also aimed to learn the prevalence of mutational patterns in genes gyrA, gyrB, rdxA, frxA, rpsU, omp11, dppA, and 23S rRNA and its association with phenotypic tests. Resistance to clarithromycin, metronidazole, amoxicillin and levofloxacin was determined in167 H. pylori isolates by E-test, and the occurrence of mutational patterns in specific genes was determined by whole genome sequencing (WGS). The trend of resistance over 20 years in mestizo isolates showed significant resistant increase for clarithromycin and levofloxacin to frequencies that banned its clinical use. Resistance in H. pylori isolates of native communities was lower for all antibiotics tested. Phenotypic resistance showed good to moderate correlation with genotypic tests. Genetic methods for characterizing antibiotic resistance require further validation in each population.
Collapse
Affiliation(s)
- Margarita Camorlinga-Ponce
- Unidad de Investigación en Enfermedades Infecciosas, UMAE Pediatría, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico
| | - Alejandro Gómez-Delgado
- Unidad de Investigación en Enfermedades Infecciosas, UMAE Pediatría, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico
| | - Emmanuel Aguilar-Zamora
- Unidad de Investigación en Enfermedades Infecciosas, UMAE Pediatría, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico.,Posgrado en Biomedicina y Biotecnología Molecular, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - Roberto C Torres
- Unidad de Investigación en Enfermedades Infecciosas, UMAE Pediatría, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico
| | - Silvia Giono-Cerezo
- Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - Antonio Escobar-Ogaz
- Unidad de Investigación en Enfermedades Infecciosas, UMAE Pediatría, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico
| | - Javier Torres
- Unidad de Investigación en Enfermedades Infecciosas, UMAE Pediatría, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico
| |
Collapse
|
21
|
Lozano-Gonzalez K, Padilla-Rodríguez E, Texis T, Gutiérrez MN, Rodríguez-Dorantes M, Cuevas-Córdoba B, Ramírez-García E, Mino-León D, Sánchez-García S, Gonzalez-Covarrubias V. Allele Frequency of ACE2 Intron Variants and Its Association with Blood Pressure. DNA Cell Biol 2020; 39:2095-2101. [PMID: 33016778 DOI: 10.1089/dna.2020.5804] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Angiotensin-converting enzyme 2 (ACE2) is known as the counter-regulator of the renin-angiotensin system, it cleaves angiotensin II to render Ag 1-7, a potent vasodilator with multiple roles in cardiovascular protection. A few studies have pinpointed ACE2 polymorphisms and their relationship with heart function and hypertension in a sex-dependent manner. These observations still lack replication mostly for admixed populations. This study aimed to report minor allele frequencies of four ACE2 intron variants, rs2285666, rs2048683, rs2106809, and rs4240157, derived from previous research using the GSA, v1.0, microarray in 1231 hypertensive and nonhypertensive patients. Logistic and multiple linear regression models were developed to identify potential associations with hypertension status and systolic and diastolic blood pressure (SBP and DBP). Allele frequency differences were identified for ACE2 rs2048683 and rs4240157 in populations with European ancestry and people of the Americas. Regression analyses identified a significant association of ACE2 rs2048683 and rs4240157 with SBP/DBP in males or females. Our observations confirm sex differences in ACE2 genetic associations with SBP and DBP and contribute to the collection of genetic variation in ACE2 for admixed populations.
Collapse
Affiliation(s)
| | | | - Tomas Texis
- Pharmacogenomics, Instituto Nacional de Medicina Genómica, INMEGEN, CDMX, México
| | - Marco N Gutiérrez
- Unidad de Investigación Epidemiológica y Servicios de Salud, Área envejecimiento, IMSS, CDMX, México
| | | | | | - Eliseo Ramírez-García
- Unidad de Investigación Epidemiológica y Servicios de Salud, Área envejecimiento, IMSS, CDMX, México
| | - Dolores Mino-León
- Unidad de Investigación en Epidemiología Clínica del Hospital de Especialidades del CMN Siglo XXI, IMSS, CDMX, México
| | - Sergio Sánchez-García
- Unidad de Investigación Epidemiológica y Servicios de Salud, Área envejecimiento, IMSS, CDMX, México
| | | |
Collapse
|
22
|
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] [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.
Collapse
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.
| |
Collapse
|
23
|
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: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [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.
Collapse
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.
| |
Collapse
|
24
|
Lieberman DE, Mahaffey M, Cubesare Quimare S, Holowka NB, Wallace IJ, Baggish AL. Running in Tarahumara (Rarámuri) Culture. CURRENT ANTHROPOLOGY 2020. [DOI: 10.1086/708810] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
|
25
|
Martínez-Magaña JJ, Genis-Mendoza AD, Villatoro Velázquez JA, Camarena B, Martín Del Campo Sanchez R, Fleiz Bautista C, Bustos Gamiño M, Reséndiz E, Aguilar A, Medina-Mora ME, Nicolini H. The Identification of Admixture Patterns Could Refine Pharmacogenetic Counseling: Analysis of a Population-Based Sample in Mexico. Front Pharmacol 2020; 11:324. [PMID: 32390825 PMCID: PMC7188951 DOI: 10.3389/fphar.2020.00324] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 03/05/2020] [Indexed: 12/12/2022] Open
Abstract
Pharmacogenetic analysis has generated translational data that could be applied to guide treatments according to individual genetic variations. However, pharmacogenetic counseling in some mestizo (admixed) populations may require tailoring to different patterns of admixture. The identification and clustering of individuals with related admixture patterns in such populations could help to refine the practice of pharmacogenetic counseling. This study identifies related groups in a highly admixed population-based sample from Mexico, and analyzes the differential distribution of actionable pharmacogenetic variants. A subsample of 1728 individuals from the Mexican Genomic Database for Addiction Research (MxGDAR/Encodat) was analyzed. Genotyping was performed with the commercial PsychArray BeadChip, genome-wide ancestry was estimated using EIGENSOFT, and model-based clustering was applied to defined admixture groups. Actionable pharmacogenetic variants were identified with a query to the Pharmacogenomics Knowledge Base (PharmGKB) database, and functional prediction using the Variant Effect Predictor (VEP). Allele frequencies were compared with chi-square tests and differentiation was estimated by FST. Seven admixture groups were identified in Mexico. Some, like Group 1, Group 4, and Group 5, were found exclusively in certain geographic areas. More than 90% of the individuals, in some groups (Group 1, Group 4 and Group 5) were found in the Central-East and Southeast region of the country. MTRR p.I49M, ABCG2 p.Q141K, CHRNA5 p.D398N, SLCO2B1 rs2851069 show a low degree of differentiation between admixture groups. ANKK1 p.G318R and p.H90R, had the lowest allele frequency of Group 1. The reduction in these alleles reduces the risk of toxicity from anticancer and antihypercholesterolemic drugs. Our analysis identified different admixture patterns and described how they could be used to refine the practice of pharmacogenetic counseling for this admixed population.
Collapse
Affiliation(s)
- José Jaime Martínez-Magaña
- Laboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Alma Delia Genis-Mendoza
- Laboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.,Hospital Psiquiátrico Infantil "Juan N. Navarro," Servicios de Atención Psiquiátrica, Mexico City, Mexico
| | - Jorge Ameth Villatoro Velázquez
- Unidad de Encuestas y Análisis de Datos, Insituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM).,Global Studies Seminar, Faculty of Medicine, National Autonomous University of Mexico (UNAM), Mexico City, Mexico
| | - Beatriz Camarena
- Laboratorio de Farmacogenética, Insituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM), Mexico City, Mexico
| | - Raul Martín Del Campo Sanchez
- Unidad de Encuestas y Análisis de Datos, Insituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM).,Global Studies Seminar, Faculty of Medicine, National Autonomous University of Mexico (UNAM), Mexico City, Mexico
| | - Clara Fleiz Bautista
- Unidad de Encuestas y Análisis de Datos, Insituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM).,Global Studies Seminar, Faculty of Medicine, National Autonomous University of Mexico (UNAM), Mexico City, Mexico
| | - Marycarmen Bustos Gamiño
- Unidad de Encuestas y Análisis de Datos, Insituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM)
| | - Esbehidy Reséndiz
- Unidad de Encuestas y Análisis de Datos, Insituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM)
| | - Alejandro Aguilar
- Laboratorio de Farmacogenética, Insituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM), Mexico City, Mexico
| | - María Elena Medina-Mora
- Unidad de Encuestas y Análisis de Datos, Insituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM).,Global Studies Seminar, Faculty of Medicine, National Autonomous University of Mexico (UNAM), Mexico City, Mexico
| | - Humberto Nicolini
- Laboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| |
Collapse
|
26
|
Gonzalez-Covarrubias V, Morales-Franco M, Cruz-Correa OF, Martínez-Hernández A, García-Ortíz H, Barajas-Olmos F, Genis-Mendoza AD, Martínez-Magaña JJ, Nicolini H, Orozco L, Soberón X. Variation in Actionable Pharmacogenetic Markers in Natives and Mestizos From Mexico. Front Pharmacol 2019; 10:1169. [PMID: 31649539 PMCID: PMC6796793 DOI: 10.3389/fphar.2019.01169] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 09/12/2019] [Indexed: 12/12/2022] Open
Abstract
The identification and characterization of pharmacogenetic variants in Latin American populations is still an ongoing endeavor. Here, we investigated SNVs on genes listed by the Pharmacogenomics Knowledge Base in 1284 Mestizos and 94 Natives from Mexico. Five institutional cohorts with NGS data were retrieved from different research projects at INMEGEN, sequencing files were filtered for 55 pharmacogenes present in all cohorts to identify novel and known variation. Bioinformatic tools VEP, PROVEAN, and FATHMM were used to assess, in silico, the functional impact of this variation. Next, we focused on 17 genes with actionable variants that have been clinically implemented. Allele frequencies were compared with major continental groups and differences discussed in the scope of a pharmacogenomic impact. We observed a wide genetic variability for known and novel SNVs, the largest variation was on UGT1A > ACE > COMT > ABCB1 and the lowest on APOE and NAT2. Although with allele frequencies around 1%, novel variation was observed in 16 of 17 PGKB genes. In Natives we identified 59 variants and 58 in Mestizos. Several genes did not show novel variation, on CYP2B6, CYP2D6, and CYP3A4 in Natives; and APOE, UGT1A, and VKORC1 in Mestizos. Similarities in allele frequency, comparing major continental groups for VIP pharmacogenes, hint towards a comparable PGx for drugs metabolized by UGT1A1, DPYD, ABCB1, CBR3, COMT, and TPMT; in contrast to variants on CYP3A5 and CYP2B6 for which significant MAF differences were identified. Our observations offer some discernment into the extent of pharmacogenetic variation registered up-to-date in Mexicans and contribute to quantitatively dissect actionable pharmacogenetic variants in Natives and Mestizos.
Collapse
Affiliation(s)
| | | | | | | | - Humberto García-Ortíz
- Immunogenomics and Metabolic Diseases Laboratory, INMEGEN, CDMX, Mexico City, Mexico
| | | | | | | | - Humberto Nicolini
- Genomics of Psychiatric and Neurodegenerative Diseases Laboratory, INMEGEN, Mexico City, Mexico
| | - Lorena Orozco
- Immunogenomics and Metabolic Diseases Laboratory, INMEGEN, CDMX, Mexico City, Mexico
| | - Xavier Soberón
- Pharmacogenomics Laboratory, INMEGEN, CDMX, Mexico City, Mexico
| |
Collapse
|
27
|
HLA concordance between hematopoietic stem cell transplantation patients and umbilical cord blood units: Implications for cord blood banking in admixed populations. Hum Immunol 2019; 80:714-722. [PMID: 31101373 DOI: 10.1016/j.humimm.2019.05.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 05/01/2019] [Accepted: 05/10/2019] [Indexed: 11/22/2022]
Abstract
Umbilical cord blood stem cell transplantation is an important choice for treating a variety of hematopoietic, neoplastic, and genetic disorders. The optimal size for a cord blood bank to provide matching units for 80% of patients requiring a stem cell transplantation procedure depends on the particular characteristics of each population. In this study, we analyzed the immunogenetic diversity of a sample set of Mexican patients suffering from blood, hematopoietic, and immunological diseases, to assess the best strategy for cord blood banking. For achieving that, we analyzed HLA-A, HLA-B, HLA-DRB1, and HLA-DQB1 genotype and allele frequencies of both units from the bioarchive of the Umbilical Cord Blood Bank from La Raza and patients requiring a stem cell transplant and compared these variables with data from the same geographic and genetic context. We were able to detect significant differences for at least half of the alleles were observed for HLA class I and class II genes between units and patients. Five Native American haplotypes had lower frequencies in patients sample than in the cord blood units. Genetic admixture estimations for both groups showed a higher contribution of Native American component in the cord blood units. Differences in ancestral components in the Umbilical Cord Blood Bank from La Raza and six virtual banks modeled from a pool of Mexican mixed ancestry individuals show that genetic background is important in cord blood collection. In conclusion, increasing diversity over quantity of new cord blood units will improve the cost effectiveness of cord blood banking and health policies regarding hematopoietic stem cell transplantation in admixed populations such as those present in Latin American countries.
Collapse
|
28
|
Cornejo-Granados F, Calderón de la Barca AM, Torres N, Martínez-Romero E, Torres J, López-Vidal Y, Soberón X, Partida-Martínez LP, Pinto-Cardoso S, Alcaraz LD, Pardo-López L, Canizales-Quinteros S, Puente JL, Ochoa-Leyva A. Microbiome-MX 2018: microbiota and microbiome opportunities in Mexico, a megadiverse country. Res Microbiol 2019; 170:235-241. [PMID: 30922683 DOI: 10.1016/j.resmic.2019.03.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2018] [Revised: 02/13/2019] [Accepted: 03/12/2019] [Indexed: 11/29/2022]
Abstract
A weekly conference series paired with lectures entitled "Microbiome-MX: exploring the Microbiota and Microbiome Research in Mexico" was organized to provide a multidisciplinary overview of the most recent research done in Mexico using high-throughput sequencing. Scientists and postgraduate students from several disciplines such as microbiology, bioinformatics, virology, immunology, nutrition, and medical genomics gathered to discuss state of the art in each of their respective subjects of expertise, as well as advances, applications and new opportunities on microbiota/microbiome research. In particular, high-throughput sequencing is a crucial tool to understand the challenges of a megadiverse developing country as Mexico, and moreover to know the scientific capital and capabilities available for collaboration. The conference series addressed three main topics important for Mexico: i) the complex role of microbiota in health and prevalent diseases such as obesity, diabetes, inflammatory bowel disease, tuberculosis, HIV, autoimmune diseases and gastric cancer; ii) the use of local, traditional and prehispanic products as pre/probiotics to modulate the microbiota and improve human health; and iii) the impact of the microbiota in shaping the biodiversity of economically important terrestrial and marine ecosystems. Herein, we summarize the contributions that Mexican microbiota/microbiome research is making to the global trends, describing the highlights of the conferences and lectures, rather than a review of the state-of-the-art of this research. This meeting report also presents the efforts of a multidisciplinary group of scientist to encourage collaborations and bringing this research field closer for younger generations.
Collapse
Affiliation(s)
- Fernanda Cornejo-Granados
- Departamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Colonia Chamilpa, Cuernavaca, Morelos, 62210, Mexico.
| | - Ana María Calderón de la Barca
- Departamento de Nutrición Humana, Centro de Investigación en Alimentación y Desarrollo, A.C. Astiazarán Rosas No. 46. Col. La Victoria, Hermosillo, 83304, Sonora, Mexico.
| | - Nimbe Torres
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán Vasco de Quiroga No 15, Ciudad de México, 14080, Cd de México, Mexico.
| | - Esperanza Martínez-Romero
- Centro de Ciencias Genómicas (CCG), Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Morelos, Mexico.
| | - Javier Torres
- Unidad de Investigación en Enfermedades Infecciosas y Parasitarias, Hospital de Pediatría, Instituto Mexicano del Seguro Social, Cd de México, Mexico.
| | - Yolanda López-Vidal
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad Universitaria, Cd. México, Mexico.
| | - Xavier Soberón
- Instituto Nacional de Medicina Genómica, Cd. México, Mexico.
| | - Laila P Partida-Martínez
- Departamento de Ingeniería Genética, Centro de Investigación y de Estudios Avanzados (CINVESTAV), Km. 9.6 Libramiento Norte Carr. Irapuato-León, Irapuato, 36824, Mexico.
| | - Sandra Pinto-Cardoso
- Departamento de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Calzada de Tlalpan 4501, Colonia Sección XVI, Ciudad de México, C.P, 14080, Mexico.
| | - Luis David Alcaraz
- Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, 04510, Ciudad de México, Mexico; Laboratorio Nacional de Ciencias de la Sostenibilidad (LANCIS), Instituto de Ecología, Universidad Nacional Autónoma de México, 04510, Ciudad de México, Mexico.
| | - Liliana Pardo-López
- Departamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Colonia Chamilpa, Cuernavaca, Morelos, 62210, Mexico.
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM)/Instituto Nacional de Medicina Genómica (INMEGEN), Cd de México, Mexico.
| | - José Luis Puente
- Departamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Colonia Chamilpa, Cuernavaca, Morelos, 62210, Mexico.
| | - Adrián Ochoa-Leyva
- Departamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Colonia Chamilpa, Cuernavaca, Morelos, 62210, Mexico.
| |
Collapse
|
29
|
Vidal EA, Moyano TC, Bustos BI, Pérez-Palma E, Moraga C, Riveras E, Montecinos A, Azócar L, Soto DC, Vidal M, Di Genova A, Puschel K, Nürnberg P, Buch S, Hampe J, Allende ML, Cambiazo V, González M, Hodar C, Montecino M, Muñoz-Espinoza C, Orellana A, Reyes-Jara A, Travisany D, Vizoso P, Moraga M, Eyheramendy S, Maass A, De Ferrari GV, Miquel JF, Gutiérrez RA. Whole Genome Sequence, Variant Discovery and Annotation in Mapuche-Huilliche Native South Americans. Sci Rep 2019; 9:2132. [PMID: 30765821 PMCID: PMC6376018 DOI: 10.1038/s41598-019-39391-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 01/23/2019] [Indexed: 12/15/2022] Open
Abstract
Whole human genome sequencing initiatives help us understand population history and the basis of genetic diseases. Current data mostly focuses on Old World populations, and the information of the genomic structure of Native Americans, especially those from the Southern Cone is scant. Here we present annotation and variant discovery from high-quality complete genome sequences of a cohort of 11 Mapuche-Huilliche individuals (HUI) from Southern Chile. We found approximately 3.1 × 106 single nucleotide variants (SNVs) per individual and identified 403,383 (6.9%) of novel SNVs events. Analyses of large-scale genomic events detected 680 copy number variants (CNVs) and 4,514 structural variants (SVs), including 398 and 1,910 novel events, respectively. Global ancestry composition of HUI genomes revealed that the cohort represents a sample from a marginally admixed population from the Southern Cone, whose main genetic component derives from Native American ancestors. Additionally, we found that HUI genomes contain variants in genes associated with 5 of the 6 leading causes of noncommunicable diseases in Chile, which may have an impact on the risk of prevalent diseases in Chilean and Amerindian populations. Our data represents a useful resource that can contribute to population-based studies and for the design of early diagnostics or prevention tools for Native and admixed Latin American populations.
Collapse
Affiliation(s)
- Elena A Vidal
- FONDAP Center for Genome Regulation, Santiago, Chile
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
- Centro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
| | - Tomás C Moyano
- FONDAP Center for Genome Regulation, Santiago, Chile
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Bernabé I Bustos
- FONDAP Center for Genome Regulation, Santiago, Chile
- Centro de Investigaciones Biomédicas, Facultad de Ciencias Biológicas y Facultad de Medicina, Universidad Andres Bello, Santiago, Chile
| | - Eduardo Pérez-Palma
- FONDAP Center for Genome Regulation, Santiago, Chile
- Centro de Investigaciones Biomédicas, Facultad de Ciencias Biológicas y Facultad de Medicina, Universidad Andres Bello, Santiago, Chile
| | - Carol Moraga
- FONDAP Center for Genome Regulation, Santiago, Chile
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Eleodoro Riveras
- FONDAP Center for Genome Regulation, Santiago, Chile
- Departamento de Gastroenterología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Alejandro Montecinos
- FONDAP Center for Genome Regulation, Santiago, Chile
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Lorena Azócar
- FONDAP Center for Genome Regulation, Santiago, Chile
- Departamento de Gastroenterología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Daniela C Soto
- FONDAP Center for Genome Regulation, Santiago, Chile
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Mabel Vidal
- FONDAP Center for Genome Regulation, Santiago, Chile
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Alex Di Genova
- FONDAP Center for Genome Regulation, Santiago, Chile
- Laboratorio de Bioinformática y Matemática del Genoma (LBMG-Mathomics), Centro de Modelamiento Matemático, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile
| | - Klaus Puschel
- Departamento de Medicina Familiar, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Peter Nürnberg
- Cologne Center for Genomics (CCG), University of Cologne, Cologne, Germany
| | - Stephan Buch
- Medical Department I, University Hospital Dresden, TU Dresden, Germany
| | - Jochen Hampe
- Medical Department I, University Hospital Dresden, TU Dresden, Germany
| | - Miguel L Allende
- FONDAP Center for Genome Regulation, Santiago, Chile
- Departamento de Biología, Facultad de Ciencias, Universidad de Chile, Santiago, Chile
| | - Verónica Cambiazo
- FONDAP Center for Genome Regulation, Santiago, Chile
- Laboratorio de Bioinformática y Expresión Génica, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Mauricio González
- FONDAP Center for Genome Regulation, Santiago, Chile
- Laboratorio de Bioinformática y Expresión Génica, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Christian Hodar
- FONDAP Center for Genome Regulation, Santiago, Chile
- Laboratorio de Bioinformática y Expresión Génica, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Martín Montecino
- FONDAP Center for Genome Regulation, Santiago, Chile
- Centro de Investigaciones Biomédicas, Facultad de Ciencias Biológicas y Facultad de Medicina, Universidad Andres Bello, Santiago, Chile
| | - Claudia Muñoz-Espinoza
- FONDAP Center for Genome Regulation, Santiago, Chile
- Centro de Biotecnología Vegetal, Facultad de Ciencias Biológicas, Universidad Andrés Bello, Santiago, Chile
| | - Ariel Orellana
- FONDAP Center for Genome Regulation, Santiago, Chile
- Centro de Biotecnología Vegetal, Facultad de Ciencias Biológicas, Universidad Andrés Bello, Santiago, Chile
| | - Angélica Reyes-Jara
- FONDAP Center for Genome Regulation, Santiago, Chile
- Laboratorio de Bioinformática y Expresión Génica, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Dante Travisany
- FONDAP Center for Genome Regulation, Santiago, Chile
- Laboratorio de Bioinformática y Matemática del Genoma (LBMG-Mathomics), Centro de Modelamiento Matemático, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile
| | - Paula Vizoso
- FONDAP Center for Genome Regulation, Santiago, Chile
- Centro de Propagación y Conservación Vegetal (CEPROVEG), Facultad de Ciencias, Universidad Mayor, Santiago, Chile
| | - Mauricio Moraga
- Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Departamento de Antropología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile
| | - Susana Eyheramendy
- Departmento de Estadística, Facultad de Matemáticas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Alejandro Maass
- FONDAP Center for Genome Regulation, Santiago, Chile
- Departamento de Medicina Familiar, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Giancarlo V De Ferrari
- FONDAP Center for Genome Regulation, Santiago, Chile.
- Centro de Investigaciones Biomédicas, Facultad de Ciencias Biológicas y Facultad de Medicina, Universidad Andres Bello, Santiago, Chile.
| | - Juan Francisco Miquel
- FONDAP Center for Genome Regulation, Santiago, Chile.
- Departamento de Gastroenterología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
| | - Rodrigo A Gutiérrez
- FONDAP Center for Genome Regulation, Santiago, Chile.
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile.
| |
Collapse
|
30
|
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] [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.
Collapse
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.
| |
Collapse
|
31
|
Soares-Souza G, Borda V, Kehdy F, Tarazona-Santos E. Admixture, Genetics and Complex Diseases in Latin Americans and US Hispanics. CURRENT GENETIC MEDICINE REPORTS 2018. [DOI: 10.1007/s40142-018-0151-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
|
32
|
Genetic diversity in populations across Latin America: implications for population and medical genetic studies. Curr Opin Genet Dev 2018; 53:98-104. [PMID: 30125792 DOI: 10.1016/j.gde.2018.07.006] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 07/22/2018] [Indexed: 01/03/2023]
Abstract
Hispanic/Latino (H/L) populations, although linked by culture and aspects of shared history, reflect the complexity of history and migration influencing the Americas. The original settlement by indigenous Americans, followed by postcolonial admixture from multiple continents, has yielded localized genetic patterns. In addition, numerous H/L populations appear to have signatures of pre-colonization and post-colonization bottlenecks, indicating that tens of millions of H/Ls may harbor signatures of founder effects today. Based on both population and medical genetic findings we highlight the extreme differentiation across the Americas, providing evidence for why H/Ls should not be considered a single population in modern human genetics. We highlight the need for additional sampling of understudied H/L groups, and ramifications of these findings for genomic medicine in one-tenth of the world's population.
Collapse
|
33
|
Fortes-Lima C, Bybjerg-Grauholm J, Marin-Padrón LC, Gomez-Cabezas EJ, Bækvad-Hansen M, Hansen CS, Le P, Hougaard DM, Verdu P, Mors O, Parra EJ, Marcheco-Teruel B. Exploring Cuba's population structure and demographic history using genome-wide data. Sci Rep 2018; 8:11422. [PMID: 30061702 PMCID: PMC6065444 DOI: 10.1038/s41598-018-29851-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 07/10/2018] [Indexed: 12/31/2022] Open
Abstract
Cuba is the most populated country in the Caribbean and has a rich and heterogeneous genetic heritage. Here, we take advantage of dense genomic data from 860 Cuban individuals to reconstruct the genetic structure and ancestral origins of this population. We found distinct admixture patterns between and within the Cuban provinces. Eastern provinces have higher African and Native American ancestry contributions (average 26% and 10%, respectively) than the rest of the Cuban provinces (average 17% and 5%, respectively). Furthermore, in the Eastern Cuban region, we identified more intense sex-specific admixture patterns, strongly biased towards European male and African/Native American female ancestries. Our subcontinental ancestry analyses in Cuba highlight the Iberian population as the best proxy European source population, South American and Mesoamerican populations as the closest Native American ancestral component, and populations from West Central and Central Africa as the best proxy sources of the African ancestral component. Finally, we found complex admixture processes involving two migration pulses from both Native American and African sources. Most of the inferred Native American admixture events happened early during the Cuban colonial period, whereas the African admixture took place during the slave trade and more recently as a probable result of large-scale migrations from Haiti.
Collapse
Affiliation(s)
- Cesar Fortes-Lima
- UMR7206 Eco-Anthropology and Ethno-Biology, CNRS-MNHN-University Paris Diderot, Musée de l'Homme, Paris, 75016, France
| | - Jonas Bybjerg-Grauholm
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, 2300, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, 8000, Denmark
| | | | | | - Marie Bækvad-Hansen
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, 2300, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, 8000, Denmark
| | - Christine Søholm Hansen
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, 2300, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, 8000, Denmark
| | - Phuong Le
- Department of Anthropology, University of Toronto, Mississauga, ON L5L 1C6, Canada
| | - David Michael Hougaard
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, 2300, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, 8000, Denmark
| | - Paul Verdu
- UMR7206 Eco-Anthropology and Ethno-Biology, CNRS-MNHN-University Paris Diderot, Musée de l'Homme, Paris, 75016, France
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, 8000, Denmark.,Psychosis Research Unit, Aarhus University Hospital, Risskov, Aarhus, 8240, Denmark
| | - Esteban J Parra
- Department of Anthropology, University of Toronto, Mississauga, ON L5L 1C6, Canada.
| | | |
Collapse
|
34
|
Whole-exome sequencing in maya indigenous families: variant in PPP1R3A is associated with type 2 diabetes. Mol Genet Genomics 2018; 293:1205-1216. [DOI: 10.1007/s00438-018-1453-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Accepted: 05/31/2018] [Indexed: 12/11/2022]
|
35
|
Blood Groups Distribution and Gene Diversity of the ABO and Rh (D) Loci in the Mexican Population. BIOMED RESEARCH INTERNATIONAL 2018; 2018:1925619. [PMID: 29850485 PMCID: PMC5937518 DOI: 10.1155/2018/1925619] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 03/05/2018] [Indexed: 02/06/2023]
Abstract
Objective To determine the frequency and distribution of ABO and Rh (D) antigens and, additionally, investigate gene diversity and the structure of Mexican populations. Materials and Methods Blood groups were tested in 271,164 subjects from 2014 to 2016. The ABO blood group was determined by agglutination using the antibodies anti-A, Anti-B, and Anti-D for the Rh factor, respectively. Results The overall distribution of ABO and Rh (D) groups in the population studied was as follows: O: 61.82%; A: 27.44%; B: 8.93%; and AB: 1.81%. For the Rh group, 95.58% of people were Rh (D), and 4.42% were Rh (d). Different distributions of blood groups across regions were found; additionally, genetic analysis revealed that the IO and ID allele showed an increasing trend from the north to the center, while the IA and Id allele tended to increase from the center to the north. Also, we found more gene diversity in both loci in the north compared with the center, suggesting population structure in Mexico. Conclusion This work could help health institutions to identify where they can obtain blood products necessary for medical interventions. Moreover, this piece of information contributes to the knowledge of the genetic structure of the Mexican populations which could have significant implications in different fields of biomedicine.
Collapse
|
36
|
Orozco-Ruiz X, Pichardo-Ontiveros E, Tovar AR, Torres N, Medina-Vera I, Prinelli F, Lafortuna CL, Guevara-Cruz M. Reply-Letter to the Editor-Superiority of new predictive equation for resting energy expenditure. Clin Nutr 2018; 37:1085-1086. [PMID: 29459214 DOI: 10.1016/j.clnu.2018.01.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2018] [Accepted: 01/28/2018] [Indexed: 10/18/2022]
Affiliation(s)
- Ximena Orozco-Ruiz
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
| | - Edgar Pichardo-Ontiveros
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
| | - Armando R Tovar
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
| | - Nimbe Torres
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
| | - Isabel Medina-Vera
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
| | - Federica Prinelli
- Istituto di Tecnologie Biomediche del Consiglio Nazionale delle Ricerche, 20090 Segrate, Milano, Italy
| | - Claudio L Lafortuna
- Istituto di Bioimmagini e Fisiologia Molecolare del Consiglio Nazionale delle Ricerche, 20090 Segrate, Milano, Italy
| | - Martha Guevara-Cruz
- Departamento de Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico.
| |
Collapse
|