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Tovar-Parra D, Gutiérrez-Castañeda LD. Polygenic Risk Score Analysis of 37 SNPs Associated with Melanoma Risk in Colombian Population. Int J Mol Sci 2025; 26:4674. [PMID: 40429816 DOI: 10.3390/ijms26104674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2025] [Revised: 04/13/2025] [Accepted: 04/23/2025] [Indexed: 05/29/2025] Open
Abstract
Melanoma incidence is increasing, with distinct genetic and clinical patterns observed in the Latin American population. This study aimed to evaluate melanoma risk in a Colombian cohort through polygenic risk analysis using 37 variants across nine genes previously associated with melanoma. We performed polygenic risk score (PRS) analysis on 85 melanoma patients and 165 controls. Genotyping was performed for 37 melanoma-associated SNPs, and on the basis of previous GWAS reports, individual PRSs were calculated for each participant. The participants were then stratified into quartiles to examine risk gradients. In addition, phenotypic features such as eye and hair color were evaluated, and genetic models and haplotype analyses were performed, adjusting for sex and family history of cancer. PRS quartile stratification revealed a clear risk gradient. Notably, 31.8% of the melanoma cases were clustered in the highest-risk quartile (Q4), with a maximum PRS of 1.04. Variants in TYR, TYRP1, CDKN2A, and HERC2 significantly contributed to risk, and light brown eye and hair colors were strongly associated with increased melanoma risk. Moreover, a protective haplotype in the OCA2-HERC2 region was identified among males. The integration of the PRS with clinical and phenotypic factors has potential for improving melanoma risk stratification in the Colombian population, warranting further investigation in larger, diverse cohorts.
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Affiliation(s)
- David Tovar-Parra
- General Dermatology Group, Hospital Universitario Centro Dermatologico Federico Lleras Acosta E.S.E, Bogotá 111511, Colombia
- Institut National de la Recherche Scientifique INRS, Centre Armand-Frappier Santé Biotechnologie, Laval, QC H7V 1B7, Canada
| | - Luz Dary Gutiérrez-Castañeda
- General Dermatology Group, Hospital Universitario Centro Dermatologico Federico Lleras Acosta E.S.E, Bogotá 111511, Colombia
- Research Institute, Basic Health Sciences Group, Fundación Universitaria de Ciencias de la Salud (FUCS), Bogotá 111221, Colombia
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2
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Aguilar-Velázquez JA, García-Aceves ME, Córdova-Mercado MF, Guardado-Estrada M, Peña-Durán E, Villavicencio-Queijeiro A, Salas-Salas O, Coronado-Ávila CE, Cárdenas-Monroy CA, Ramos-González B, Rangel-Villalobos H. Choice between DNA primer sets (A or B) of the ForenSeq kit: forensic evaluation in a Mexican admixed population sample. Int J Legal Med 2025; 139:983-993. [PMID: 39516400 DOI: 10.1007/s00414-024-03366-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 10/31/2024] [Indexed: 11/16/2024]
Abstract
Massively parallel sequencing (MPS) overcomes many PCR-CE limitations to analyze STRs and allow simultaneous inclusion of SNPs in forensic cases. By MPS, the ForenSeq™ DNA Signature Prep kit analyzes 27 aSTRs, 7 X-STRs, 24Y-STRs, and 94 identity-informative SNPs (iiSNPs) with the DNA Primer Set-A (DPS-A). Optionally, the DNA Primer Set-B (DPS-B) adds to the analysis 56 ancestry-informative SNPs (aiSNPs) and 24 phenotype-informative SNPs (piSNPs), but diminishes from 96 to 32 the number of samples per sequencing run. We assessed the forensic informativity provided by the loci analyzed by these two DPS in admixed individuals from Mexico City (Center, Mexico). For STRs, we report length-based (LB) and sequence-based (SB) allele frequencies and forensic parameters of the 152 identity informative markers (DPS-A). For aSTRs, the combined PD of SB genotypes (PD ~ 100%) was ~ 2949 times larger than that from LB. Conversely, the observed phenotype distribution offered low PD levels (PD = 6.6% and 10.4%), whereas piSNPs predicted accurately only the modal brown eye and dark hair colors, respectively. Similarly, aiSNPs detected a large prevalence of admixed individuals (97.3%; PD = 5.4%). Although few individuals were inferred as Europeans and Native Americans (1.37% each), they were self-declared as admixed, which result confusing for HID purposes. In brief, SB genotypes increased significantly the informativity of STRs to solve complex cases (DPS-A), whereas aiSNPs and piSNPs added mostly irrelevant information (DPS-B). We provide useful cost-benefit criteria in one Latin American population to choose DPS-A (96 samples) instead of DPS-B (32 samples) of the Forenseq kit.
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Affiliation(s)
- José Alonso Aguilar-Velázquez
- Laboratorio de Ciencias Morfológico Forenses y Medicina Molecular, Departamento de Morfología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico
| | - Mayra Elizabeth García-Aceves
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara, Ocotlán, Jalisco, Mexico
| | - Miranda Fabiola Córdova-Mercado
- Instituto de Criminalística y Servicios Periciales, Fiscalía General de Justicia del Estado de Nuevo León (FGJNL), Monterrey, Nuevo León, Mexico
| | | | - Emiliano Peña-Durán
- Laboratorio de Ciencias Morfológico Forenses y Medicina Molecular, Departamento de Morfología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico
| | | | - Orlando Salas-Salas
- Instituto de Criminalística y Servicios Periciales, Fiscalía General de Justicia del Estado de Nuevo León (FGJNL), Monterrey, Nuevo León, Mexico
| | - Carolina Elena Coronado-Ávila
- Instituto de Criminalística y Servicios Periciales, Fiscalía General de Justicia del Estado de Nuevo León (FGJNL), Monterrey, Nuevo León, Mexico
| | | | - Benito Ramos-González
- Instituto de Criminalística y Servicios Periciales, Fiscalía General de Justicia del Estado de Nuevo León (FGJNL), Monterrey, Nuevo León, Mexico.
| | - Héctor Rangel-Villalobos
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara, Ocotlán, Jalisco, Mexico
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3
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Moon H, Kim M, Sim H, Hong S, Jeon H, Cho J, Choi M. Comprehensive Profiling of Genetic and Nongenetic Factors that Influence Skin Traits in Asian Women from 4 Countries. J Invest Dermatol 2025:S0022-202X(25)00290-8. [PMID: 40010489 DOI: 10.1016/j.jid.2025.02.130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2024] [Revised: 02/04/2025] [Accepted: 02/11/2025] [Indexed: 02/28/2025]
Abstract
Brightness, pore size, wrinkles, color, elasticity, moisture, transepidermal water loss, pH, and sebum are traits that directly affect skin health and aesthetics, which vary substantially among ethnic groups and individuals. Although a complex combination of genetic and environmental factors influences these traits, an accurate estimation of skin phenotypic determination in individuals from Asian countries remains to be determined. In this study, we established the ASTAGR (Asian Skin Traits and Genetics Research) cohort, comprising 2762 female participants from 4 Asian countries (Korea, Vietnam, Thailand, and Indonesia). We documented 26 skin traits and conducted extensive skin-related surveys among the participants. Estimation of the quantitative contribution from whole-genome sequencing-based genotyping, combined with the survey findings, led to a comprehensive documentation of skin trait determination and its variation by country. This approach also revealed major variables affecting each skin trait. Our transethnic GWAS revealed 10 significant associations, 5 of which, to our knowledge, have not been previously reported. This study provides a comprehensive profile of skin traits and their regulation in the 4 Asian countries.
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Affiliation(s)
- Hyunchae Moon
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Minsoo Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyungtai Sim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sungjoon Hong
- Korea Testing & Research Institute, Gwacheon-si, Republic of Korea
| | - Hyoungseok Jeon
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jinsik Cho
- Korea Testing & Research Institute, Gwacheon-si, Republic of Korea; Interdisciplinary Postgraduate Course in Biomedical Engineering, Jeju National University, Jeju, Republic of Korea.
| | - Murim Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
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4
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Borda V, Loesch DP, Guo B, Laboulaye R, Veliz-Otani D, French JN, Leal TP, Gogarten SM, Ikpe S, Gouveia MH, Mendes M, Abecasis GR, Alvim I, Arboleda-Bustos CE, Arboleda G, Arboleda H, Barreto ML, Barwick L, Bezzera MA, Blangero J, Borges V, Caceres O, Cai J, Chana-Cuevas P, Chen Z, Custer B, Dean M, Dinardo C, Domingos I, Duggirala R, Dieguez E, Fernandez W, Ferraz HB, Gilliland F, Guio H, Horta B, Curran JE, Johnsen JM, Kaplan RC, Kelly S, Kenny EE, Konkle BA, Kooperberg C, Lescano A, Lima-Costa MF, Loos RJF, Manichaikul A, Meyers DA, Naslavsky MS, Nickerson DA, North KE, Padilla C, Preuss M, Raggio V, Reiner AP, Rich SS, Rieder CR, Rienstra M, Rotter JI, Rundek T, Sacco RL, Sanchez C, Sankaran VG, Santos-Lobato BL, Schumacher-Schuh AF, Scliar MO, Silverman EK, Sofer T, Lasky-Su J, Tumas V, Weiss ST, Mata IF, Hernandez RD, Tarazona-Santos E, O'Connor TD. Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas. CELL GENOMICS 2024; 4:100692. [PMID: 39486408 PMCID: PMC11605695 DOI: 10.1016/j.xgen.2024.100692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 08/14/2024] [Accepted: 10/09/2024] [Indexed: 11/04/2024]
Abstract
Latin Americans are underrepresented in genetic studies, increasing disparities in personalized genomic medicine. Despite available genetic data from thousands of Latin Americans, accessing and navigating the bureaucratic hurdles for consent or access remains challenging. To address this, we introduce the Genetics of Latin American Diversity (GLAD) Project, compiling genome-wide information from 53,738 Latin Americans across 39 studies representing 46 geographical regions. Through GLAD, we identified heterogeneous ancestry composition and recent gene flow across the Americas. Additionally, we developed GLAD-match, a simulated annealing-based algorithm, to match the genetic background of external samples to our database, sharing summary statistics (i.e., allele and haplotype frequencies) without transferring individual-level genotypes. Finally, we demonstrate the potential of GLAD as a critical resource for evaluating statistical genetic software in the presence of admixture. By providing this resource, we promote genomic research in Latin Americans and contribute to the promises of personalized medicine to more people.
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Affiliation(s)
- Victor Borda
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA; University of Maryland Institute for Health Computing, University of Maryland School of Medicine, North Bethesda, MD 20852, USA.
| | - Douglas P Loesch
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Bing Guo
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Roland Laboulaye
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Diego Veliz-Otani
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Jennifer N French
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Thiago Peixoto Leal
- Lerner Research Institute, Genomic Medicine, Cleveland Clinic, Cleveland, OH, USA
| | | | - Sunday Ikpe
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Mateus H Gouveia
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Marla Mendes
- Department of Genetics, Ecology, and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Gonçalo R Abecasis
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Isabela Alvim
- Department of Genetics, Ecology, and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Carlos E Arboleda-Bustos
- Neuroscience and Cell Death Research Groups, Medical School and Genetic Institute, Universidad Nacional de Colombia, Bogota, Colombia
| | - Gonzalo Arboleda
- Neuroscience and Cell Death Research Groups, Medical School and Genetic Institute, Universidad Nacional de Colombia, Bogota, Colombia
| | - Humberto Arboleda
- Neuroscience and Cell Death Research Groups, Medical School and Genetic Institute, Universidad Nacional de Colombia, Bogota, Colombia
| | - Mauricio L Barreto
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, BA 40110-040, Brazil
| | - Lucas Barwick
- LTRC Data Coordinating Center, The Emmes Company, Rockville, MD, USA
| | - Marcos A Bezzera
- Department of Genetics, Federal University of Pernambuco, Av. Prof. Moraes Rego, 1235, Recife, PE 50670-901, Brazil
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Vanderci Borges
- Movement Disorders Unit, Department of Neurology and Neurosurgery, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Omar Caceres
- Instituto Nacional de Salud, Lima, Peru; Facultad de Ciencias de la Salud, Universidad Científica del Sur, Lima, Peru
| | - Jianwen Cai
- Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Pedro Chana-Cuevas
- CETRAM, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, Santiago, Chile
| | - Zhanghua Chen
- Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA
| | - Michael Dean
- Laboratory of Genomic Diversity, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Carla Dinardo
- Instituto de Medicina Tropical, University of São Paulo, São Paulo, Brazil
| | - Igor Domingos
- Department of Genetics, Federal University of Pernambuco, Av. Prof. Moraes Rego, 1235, Recife, PE 50670-901, Brazil
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Elena Dieguez
- Neurology Institute, Universidad de la República, Montevideo, Uruguay
| | - Willian Fernandez
- Neuroscience and Cell Death Research Groups, Medical School and Genetic Institute, Universidad Nacional de Colombia, Bogota, Colombia
| | - Henrique B Ferraz
- Movement Disorders Unit, Department of Neurology and Neurosurgery, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Frank Gilliland
- Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA
| | - Heinner Guio
- Instituto Nacional de Salud, Lima, Peru; INBIOMEDIC Research Center, Lima, Peru; Universidad de Huánuco, Huánuco, Peru
| | - Bernardo Horta
- Faculdade de Medicina, Departamento de Medicina Social, Universidade Federal de Pelotas, Pelotas, RS, Brazil
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Jill M Johnsen
- Bloodworks Northwest Research Institute, Seattle, WA, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Shannon Kelly
- Vitalant Research Institute, San Francisco, CA, USA; UCSF Benioff Children's Hospital, University of California, San Francisco, Oakland, CA, USA
| | - Eimear E Kenny
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barbara A Konkle
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Andres Lescano
- Neurology Institute, Universidad de la República, Montevideo, Uruguay
| | - M Fernanda Lima-Costa
- Instituto de Pesquisas René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, MG, Brazil
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Deborah A Meyers
- Division of Genetics, Genomics, and Precision Medicine, University of Arizona, Tucson, AZ, USA
| | - Michel S Naslavsky
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, SP, Brazil
| | | | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Michael Preuss
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Victor Raggio
- Genetics Department, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Alexander P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Carlos R Rieder
- Departamento de Neurologia, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, and The Evelyn F. McKnight Brain Institute, University of Miami, Miami, FL, USA
| | - Ralph L Sacco
- Department of Neurology, Miller School of Medicine, and The Evelyn F. McKnight Brain Institute, University of Miami, Miami, FL, USA
| | | | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Artur Francisco Schumacher-Schuh
- Departamento de Farmacologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Serviço de Neurologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Marilia O Scliar
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, SP, Brazil
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Vitor Tumas
- Ribeirão Preto Medical School, Universidade de São Paulo, Ribeirão Preto, Brazil
| | - Scott T Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ignacio F Mata
- University of Maryland Institute for Health Computing, University of Maryland School of Medicine, North Bethesda, MD 20852, USA
| | - Ryan D Hernandez
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA; Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Eduardo Tarazona-Santos
- Department of Genetics, Ecology, and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Facultad de Salud Pública y Administración. Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Timothy D O'Connor
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Program in Health Equity and Population Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Program in Personalized Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
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5
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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.
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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
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6
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Burt CH. Polygenic Indices (a.k.a. Polygenic Scores) in Social Science: A Guide for Interpretation and Evaluation. SOCIOLOGICAL METHODOLOGY 2024; 54:300-350. [PMID: 39091537 PMCID: PMC11293310 DOI: 10.1177/00811750241236482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Polygenic indices (PGI)-the new recommended label for polygenic scores (PGS) in social science-are genetic summary scales often used to represent an individual's liability for a disease, trait, or behavior based on the additive effects of measured genetic variants. Enthusiasm for linking genetic data with social outcomes and the inclusion of premade PGIs in social science datasets have facilitated increased uptake of PGIs in social science research-a trend that will likely continue. Yet, most social scientists lack the expertise to interpret and evaluate PGIs in social science research. Here, we provide a primer on PGIs for social scientists focusing on key concepts, unique statistical genetic considerations, and best practices in calculation, estimation, reporting, and interpretation. We summarize our recommended best practices as a checklist to aid social scientists in evaluating and interpreting studies with PGIs. We conclude by discussing the similarities between PGIs and standard social science scales and unique interpretative considerations.
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Rivera-Paredez B, Hidalgo-Bravo A, López-Montoya P, Becerra-Cervera A, Patiño N, Denova-Gutiérrez E, Salmerón J, Velázquez-Cruz R. Skin pigmentation related variants in Mexican population and interaction effects on serum 25(OH)D concentration and vitamin D deficiency. Sci Rep 2024; 14:17378. [PMID: 39075179 PMCID: PMC11286937 DOI: 10.1038/s41598-024-68437-0] [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: 02/21/2024] [Accepted: 07/23/2024] [Indexed: 07/31/2024] Open
Abstract
Skin pigmentation is negatively associated with circulating vitamin D (VD) concentration. Therefore, genetic factors involved in skin pigmentation could influence the risk of vitamin D deficiency (VDD). We evaluated the impact genetic variants related to skin pigmentation on VD in Mexican population. This cross-sectional analysis included 848 individuals from the Health Worker Cohort Study (ratio males to females ~ 1:3). Eight genetic variants: rs16891982 (SLC45A2), rs12203592 (IRF4), rs1042602 and rs1126809 (TYR), rs1800404 (OCA2), rs12913832 (HERC2), rs1426654 (SLC24A5), and rs2240751 (MFSD12); involved in skin pigmentation were genotyped. Skin pigmentation was assessed by self-report. Linear and logistic regression were used to assess the association between the variants of interest and VD and VDD, as appropriate. In our study, eight genetic variants were associated with skin pigmentation. A genetic risk score built with the variants rs1426654 and rs224075 was associated with lower VD levels (β = - 1.38, 95% CI - 2.59, - 0.17, p = 0.025). Nevertheless, when examining gene-gene interactions, we observed that rs2240751 × rs12203592 were associated with VD levels (P interaction = 0.021). Whereas rs2240751 × rs12913832 (P interaction = 0.0001) were associated with VDD. Our results suggest that skin pigmentation-related gene variants are associated with lower VD levels in Mexican population. These results underscore the importance of considering genetic interactions when assessing the impact of genetic polymorphisms on VD levels.
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Affiliation(s)
- Berenice Rivera-Paredez
- Centro de Investigación en Políticas, Población y Salud (CIPPS), Facultad de Medicina-Universidad Nacional Autónoma de México (UNAM), 04510, Mexico City, Mexico
| | - Alberto Hidalgo-Bravo
- Departamento de Medicina Genómica, Instituto Nacional de Rehabilitación (INR), 14389, Mexico City, Mexico
| | - Priscilla López-Montoya
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), 14610, Mexico City, Mexico
| | - Adriana Becerra-Cervera
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), 14610, Mexico City, Mexico
- Consejo Nacional de Humanidades, Ciencias y Tecnologías, (CONAHCYT), Mexico City, Mexico
| | - Nelly Patiño
- Unidad de Citometría de Flujo (UCiF), Instituto Nacional de Medicina Genómica (INMEGEN), 14610, Mexico City, Mexico
| | - Edgar Denova-Gutiérrez
- Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública (INSP), 62100, Cuernavaca, Morelos, Mexico
| | - Jorge Salmerón
- Centro de Investigación en Políticas, Población y Salud (CIPPS), Facultad de Medicina-Universidad Nacional Autónoma de México (UNAM), 04510, Mexico City, Mexico
| | - Rafael Velázquez-Cruz
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), 14610, Mexico City, Mexico.
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8
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Becerra-Cervera A, Argoty-Pantoja AD, Aparicio-Bautista DI, López-Montoya P, Rivera-Paredez B, Hidalgo-Bravo A, Velázquez-Cruz R. Proteomic Biomarkers Associated with Low Bone Mineral Density: A Systematic Review. Int J Mol Sci 2024; 25:7526. [PMID: 39062769 PMCID: PMC11277462 DOI: 10.3390/ijms25147526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 07/07/2024] [Accepted: 07/07/2024] [Indexed: 07/28/2024] Open
Abstract
Osteoporosis is a globally relevant public health issue. Our study aimed to summarize the knowledge on the proteomic biomarkers for low bone mineral density over the last years. We conducted a systematic review following the PRISMA guidelines; the scoured databases were PubMed, Web of Sciences, Scopus, and EBSCO, from inception to 2 June 2023. A total of 610 relevant studies were identified and 33 were assessed for eligibility. Finally, 29 studies met the criteria for this systematic review. The risk of bias was evaluated using the Joanna Briggs Institute Critical Appraisal Checklist tool. From the studies selected, 154 proteins were associated with changes of bone mineral density, from which only 10 were reported in at least two articles. The protein-protein network analysis indicated potential biomarkers involved in the skeletal system, immune system process, regulation of protein metabolic process, regulation of signaling, transport, cellular component assembly, cell differentiation, hemostasis, and extracellular matrix organization. Mass spectrometry-based proteomic profiling has allowed the discovery of new biomarkers with diagnostic potential. However, it is necessary to compare and validate the potential biomarkers in different populations to determine their association with bone metabolism and evaluate their translation to the clinical management of osteoporosis.
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Affiliation(s)
- Adriana Becerra-Cervera
- Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City 14610, Mexico; (A.B.-C.); (D.I.A.-B.); (P.L.-M.)
- National Council of Humanities, Science and Technology (CONAHCYT), Mexico City 03940, Mexico
| | - Anna D. Argoty-Pantoja
- Research Center in Policies, Population and Health, School of Medicine, National Autonomous University of Mexico (UNAM), Mexico City 04510, Mexico; (A.D.A.-P.); (B.R.-P.)
| | - Diana I. Aparicio-Bautista
- Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City 14610, Mexico; (A.B.-C.); (D.I.A.-B.); (P.L.-M.)
| | - Priscilla López-Montoya
- Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City 14610, Mexico; (A.B.-C.); (D.I.A.-B.); (P.L.-M.)
| | - Berenice Rivera-Paredez
- Research Center in Policies, Population and Health, School of Medicine, National Autonomous University of Mexico (UNAM), Mexico City 04510, Mexico; (A.D.A.-P.); (B.R.-P.)
| | - Alberto Hidalgo-Bravo
- Department of Genomic Medicine, National Institute of Rehabilitation, Mexico City 14389, Mexico;
| | - Rafael Velázquez-Cruz
- Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City 14610, Mexico; (A.B.-C.); (D.I.A.-B.); (P.L.-M.)
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9
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Pu Y, Pu S, Chen Y, Kong Q, Liu X, Zhao Q, Xu K, Liu J, Li M, Xu X, Qiao X, Su B, Chen J, Yang Z. Weakened tanning ability is an important mechanism for evolutionary skin lightening in East Asians. J Genet Genomics 2024; 51:703-713. [PMID: 38461943 DOI: 10.1016/j.jgg.2024.03.001] [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: 02/28/2024] [Revised: 03/03/2024] [Accepted: 03/03/2024] [Indexed: 03/12/2024]
Abstract
The evolution of light-skin pigmentation among Eurasians is considered as an adaptation to the high-latitude environments. East Asians are ideal populations for studying skin color evolution because of the complex environment of East Asia. Here, we report a strong selection signal for the pigmentation gene phenylalanine hydroxylase (PAH) in light-skinned Han Chinese individuals. The intron mutation rs10778203 in PAH is enriched in East Asians and is significantly associated with skin color of the back of the hand in Han Chinese males (P < 0.05). In vitro luciferase and transcription factor binding assays show that the ancestral allele of rs10778203 could bind to SMAD2 and has a significant enhancer activity for PAH. However, the derived T allele (the major allele in East Asians) of rs10778203 decreases the binding activity of transcription factors and enhancer activity. Meanwhile, the derived T allele of rs10778203 shows a weaker ultraviolet radiation response in A375 cells and zebrafish embryos. Furthermore, rs10778203 decreases melanin production in transgenic zebrafish embryos after ultraviolet B (UVB) treatment. Collectively, PAH is a potential pigmentation gene that regulates skin tanning ability. Natural selection has enriched the adaptive allele, resulting in weakened tanning ability in East Asians, suggesting a unique genetic mechanism for evolutionary skin lightening in East Asians.
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Affiliation(s)
- Youwei Pu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Siyu Pu
- Department of Pediatric Surgery and Laboratory of Pediatric Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yanyan Chen
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Qinghong Kong
- Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Xuyang Liu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Qi Zhao
- Yunnan Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
| | - Ke Xu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Jiuming Liu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Mengyuan Li
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Xiaoyu Xu
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Xiaoyang Qiao
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Jing Chen
- Department of Pediatric Surgery and Laboratory of Pediatric Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
| | - Zhaohui Yang
- Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan 450052, China.
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10
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Kim B, Kim DS, Shin JG, Leem S, Cho M, Kim H, Gu KN, Seo JY, You SW, Martin AR, Park SG, Kim Y, Jeong C, Kang NG, Won HH. Mapping and annotating genomic loci to prioritize genes and implicate distinct polygenic adaptations for skin color. Nat Commun 2024; 15:4874. [PMID: 38849341 PMCID: PMC11161515 DOI: 10.1038/s41467-024-49031-4] [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: 07/04/2023] [Accepted: 05/21/2024] [Indexed: 06/09/2024] Open
Abstract
Evidence for adaptation of human skin color to regional ultraviolet radiation suggests shared and distinct genetic variants across populations. However, skin color evolution and genetics in East Asians are understudied. We quantified skin color in 48,433 East Asians using image analysis and identified associated genetic variants and potential causal genes for skin color as well as their polygenic interplay with sun exposure. This genome-wide association study (GWAS) identified 12 known and 11 previously unreported loci and SNP-based heritability was 23-24%. Potential causal genes were determined through the identification of nonsynonymous variants, colocalization with gene expression in skin tissues, and expression levels in melanocytes. Genomic loci associated with pigmentation in East Asians substantially diverged from European populations, and we detected signatures of polygenic adaptation. This large GWAS for objectively quantified skin color in an East Asian population improves understanding of the genetic architecture and polygenic adaptation of skin color and prioritizes potential causal genes.
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Affiliation(s)
- Beomsu Kim
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, 06351, Republic of Korea
| | - Dan Say Kim
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, 06351, Republic of Korea
| | - Joong-Gon Shin
- Research and Innovation Center, CTO, LG Household & Healthcare (LG H&H), Seoul, 07795, Republic of Korea
| | - Sangseob Leem
- Research and Innovation Center, CTO, LG Household & Healthcare (LG H&H), Seoul, 07795, Republic of Korea
| | - Minyoung Cho
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, 06351, Republic of Korea
| | - Hanji Kim
- Research and Innovation Center, CTO, LG Household & Healthcare (LG H&H), Seoul, 07795, Republic of Korea
| | - Ki-Nam Gu
- Research and Innovation Center, CTO, LG Household & Healthcare (LG H&H), Seoul, 07795, Republic of Korea
| | - Jung Yeon Seo
- Research and Innovation Center, CTO, LG Household & Healthcare (LG H&H), Seoul, 07795, Republic of Korea
| | - Seung Won You
- Research and Innovation Center, CTO, LG Household & Healthcare (LG H&H), Seoul, 07795, Republic of Korea
| | - Alicia R Martin
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, 02141, USA
| | - Sun Gyoo Park
- Research and Innovation Center, CTO, LG Household & Healthcare (LG H&H), Seoul, 07795, Republic of Korea
| | - Yunkwan Kim
- Research and Innovation Center, CTO, LG Household & Healthcare (LG H&H), Seoul, 07795, Republic of Korea
| | - Choongwon Jeong
- School of Biological Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Nae Gyu Kang
- Research and Innovation Center, CTO, LG Household & Healthcare (LG H&H), Seoul, 07795, Republic of Korea.
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, 06351, Republic of Korea.
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11
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Li Y, Xu W, Wang J, Liu H, Liu J, Zhang L, Hou R, Shen F, Liu Y, Cai K. Giant pandas in captivity undergo short-term adaptation in nerve-related pathways. BMC ZOOL 2024; 9:4. [PMID: 38383502 PMCID: PMC10880213 DOI: 10.1186/s40850-024-00195-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 02/07/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Behaviors in captive animals, including changes in appetite, activity level, and social interaction, are often seen as adaptive responses. However, these behaviors may become progressively maladaptive, leading to stress, anxiety, depression, and other negative reactions in animals. RESULTS In this study, we investigated the whole-genome sequencing data of 39 giant panda individuals, including 11 in captivity and 28 in the wild. To eliminate the mountain range effect and focus on the factor of captivity only, we first performed a principal component analysis. We then enumerated the 21,474,180 combinations of wild giant pandas (11 chosen from 28) and calculated their distances from the 11 captive individuals. The 11 wild individuals with the closest distances were used for the subsequent analysis. The linkage disequilibrium (LD) patterns demonstrated that the population was almost eliminated. We identified 505 robust selected genomic regions harboring at least one SNP, and the absolute frequency difference was greater than 0.6 between the two populations. GO analysis revealed that genes in these regions were mainly involved in nerve-related pathways. Furthermore, we identified 22 GO terms for which the selection strength significantly differed between the two populations, and there were 10 nerve-related pathways among them. Genes in the differentially abundant regions were involved in nerve-related pathways, indicating that giant pandas in captivity underwent minor genomic selection. Additionally, we investigated the relationship between genetic variation and chromatin conformation structures. We found that nucleotide diversity (θπ) in the captive population was correlated with chromatin conformation structures, which included A/B compartments, topologically associated domains (TADs) and TAD-cliques. For each GO term, we then compared the expression level of genes regulated by the above four factors (AB index, TAD intactness, TAD clique and PEI) with the corresponding genomic background. The retained 10 GO terms were all coordinately regulated by the four factors, and three of them were associated with nerve-related pathways. CONCLUSIONS This study revealed that giant pandas in captivity undergo short-term adaptation in nerve-related pathways. Furthermore, it provides new insights into the molecular mechanism of gene expression regulation under short-term adaptation to environmental change.
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Affiliation(s)
- Yan Li
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Wei Xu
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Juan Wang
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Hong Liu
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Jiawen Liu
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Liang Zhang
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Rong Hou
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Fujun Shen
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Yuliang Liu
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China
| | - Kailai Cai
- Chengdu Research Base of Giant Panda Breeding, Panda Avenue, Northern Suburb, Chengdu, China.
- Sichuan Key Laboratory of Conservation Biology On Endangered Wildlife, Panda Avenue, Northern Suburb, Chengdu, China.
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Feng Y, Xie N, Inoue F, Fan S, Saskin J, Zhang C, Zhang F, Hansen MEB, Nyambo T, Mpoloka SW, Mokone GG, Fokunang C, Belay G, Njamnshi AK, Marks MS, Oancea E, Ahituv N, Tishkoff SA. Integrative functional genomic analyses identify genetic variants influencing skin pigmentation in Africans. Nat Genet 2024; 56:258-272. [PMID: 38200130 PMCID: PMC11005318 DOI: 10.1038/s41588-023-01626-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/28/2023] [Indexed: 01/12/2024]
Abstract
Skin color is highly variable in Africans, yet little is known about the underlying molecular mechanism. Here we applied massively parallel reporter assays to screen 1,157 candidate variants influencing skin pigmentation in Africans and identified 165 single-nucleotide polymorphisms showing differential regulatory activities between alleles. We combine Hi-C, genome editing and melanin assays to identify regulatory elements for MFSD12, HMG20B, OCA2, MITF, LEF1, TRPS1, BLOC1S6 and CYB561A3 that impact melanin levels in vitro and modulate human skin color. We found that independent mutations in an OCA2 enhancer contribute to the evolution of human skin color diversity and detect signals of local adaptation at enhancers of MITF, LEF1 and TRPS1, which may contribute to the light skin color of Khoesan-speaking populations from Southern Africa. Additionally, we identified CYB561A3 as a novel pigmentation regulator that impacts genes involved in oxidative phosphorylation and melanogenesis. These results provide insights into the mechanisms underlying human skin color diversity and adaptive evolution.
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Affiliation(s)
- Yuanqing Feng
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ning Xie
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Fumitaka Inoue
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Shaohua Fan
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
- Human Phenome Institute, School of Life Science, Fudan University, Shanghai, China
| | - Joshua Saskin
- Department of Neuroscience, Brown University, Providence, RI, USA
| | - Chao Zhang
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Fang Zhang
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew E B Hansen
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas Nyambo
- Department of Biochemistry and Molecular Biology, Hubert Kairuki Memorial University, Dar es Salaam, Tanzania
| | - Sununguko Wata Mpoloka
- Department of Biological Sciences, Faculty of Sciences, University of Botswana, Gaborone, Botswana
| | | | - Charles Fokunang
- Department of Pharmacotoxicology and Pharmacokinetics, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
| | - Gurja Belay
- Department of Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Alfred K Njamnshi
- Brain Research Africa Initiative (BRAIN); Neuroscience Lab, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Department of Neurology, Central Hospital Yaoundé, Yaoundé, Cameroon
| | - Michael S Marks
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA
| | - Elena Oancea
- Department of Neuroscience, Brown University, Providence, RI, USA
| | - Nadav Ahituv
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Sarah A Tishkoff
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA.
- Center for Global Genomics and Health Equity, University of Pennsylvania, Philadelphia, PA, USA.
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13
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Becher D, Jmel H, Kheriji N, Sarno S, Kefi R. Genetic landscape of forensic DNA phenotyping markers among Mediterranean populations. Forensic Sci Int 2024; 354:111906. [PMID: 38128201 DOI: 10.1016/j.forsciint.2023.111906] [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: 10/09/2023] [Accepted: 12/02/2023] [Indexed: 12/23/2023]
Abstract
Forensic DNA Phenotyping can reveal the appearance of an unknown individual by predicting the External Visible Characteristics (EVC) from DNA obtained at the crime scene. Our aim is to characterize the genetic landscape of Human identification markers responsible for EVC among Mediterranean populations compared to other worldwide groups. We conducted an exhaustive search for genes involved in EVC variation. Then, variants located on these genes were extracted from public genotypic data of Mediterranean, American, African and East Asiatic populations. The genetic landscape of these Human identification markers, their allelic distribution and admixture analyses, were determined using plink, R and ADMIXTURE softwares. Our results showed that the Mediterranean populations appear close to the Mexican populations and distinguished from sub Saharan African populations living in the USA and from East Asiatic populations. We highlighted a total of 103454 common variants shared between the studied populations and among them, 25 common variants associated with EVC. Interestingly, genotype frequencies results showed that the rs17646946, rs13016869, rs977588, rs1805008 and rs2240751 variants located respectively in the TCHH, PRKCE, OCA2, MC1R and MFSD12 genes are significantly different between the Mediterranean and Asiatic populations. The genotype frequencies of the variants rs977589 and rs7179994 located in the OCA2 gene, and of rs12913832 and rs2240751 located respectively in HERC2 and MFSD12 genes are significantly different between the Mediterranean and American populations. Our work generates a large number of EVC variants that could be a valuable resource for future studies in the forensic field.
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Affiliation(s)
- Dorra Becher
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; Directorate of Technical and Scientific Police, Sub-Directorate of Forensic and Scientific Laboratories, Tunis,Tunisia; University of Carthage, National Institute of Applied Science and Technology, Tunis, Tunisia
| | - Haifa Jmel
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; Genetic Typing Service, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; University of Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Nadia Kheriji
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; University of Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Stefania Sarno
- Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Rym Kefi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; Genetic Typing Service, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; University of Tunis El Manar, 2092 El Manar I, Tunis, Tunisia.
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Martínez-Ramírez J, Puts D, Nieto J, G-Santoyo I. Effects of facial skin pigmentation on social judgments in a Mexican population. PLoS One 2023; 18:e0279858. [PMID: 38032952 PMCID: PMC10688750 DOI: 10.1371/journal.pone.0279858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 10/12/2023] [Indexed: 12/02/2023] Open
Abstract
People quickly and involuntarily form impressions of others based on their facial physical attributes, which can modulate critical social interactions. Skin pigmentation is one of the most variable and conspicuous facial traits among human populations. Empirical evidence suggests that these variations reflect ancestral ecological selective pressures balancing cutaneous vitamin D synthesis with the protection of the dermis from ultraviolet radiation. Nevertheless, skin pigmentation may currently be subject to additional selective pressures. For instance, the colonial era in Central and South America developed a highly stratified society based on ethnic origins, and light skin pigmentation became associated with higher social status and deference. This association could have originated through historical social learning that promoted favorable social perceptions towards individuals with lighter skin color and unfavorable perceptions towards individuals with darker skin color, which could still be present in the perception of current populations. Facial skin pigmentation is also sexually dimorphic, with males tending to exhibit darker skin than females, a difference that could be driven by sexual selection. To explore whether social learning and sexual selection represent additional selective pressures on skin pigmentation, we tested how this facial trait influences fundamental social perceptions in a Mexican population (N = 700, 489 female). We sampled facial images of eight European American males with natural lighter facial skin and eight males from an indigenous pre-Columbian community from Mexico, the Me'Phaa, with natural darker facial skin. We produced stimuli from these images by varying the skin pigmentation while preserving the facial shape. Stimuli were rated on attractiveness, trustworthiness, perceived health, dominance, aggressiveness, and femininity/masculinity. We found that the natural light-skinned faces were perceived as more attractive, trustworthy, and healthy but less dominant than the natural dark faces. Furthermore, by varying the facial skin color in these original groups, we altered the perceptions of them, mainly their attractiveness. These results partially support the hypothesis that dark facial skin color may help males compete for mates. Also, the results strongly support the view that lighter facial skin color became associated with social benefits through social learning in this Mexican population. Our findings, when viewed through the lens of cultural evolution, align with previous research in social psychology and anthropology. They hold the potential to offer a comprehensive understanding of the origin of this social phenomenon of cultural transmission, which currently plays a role in the formation of racial attitudes, stereotyping, and racial inequality in Mexican and other Latin American populations.
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Affiliation(s)
- Jaaziel Martínez-Ramírez
- Faculty of Psychology, Neuroecology Laboratory, National Autonomous University of Mexico, Mexico City, Mexico
| | - David Puts
- Department of Anthropology and Center for Human Evolution and Diversity, The Pennsylvania State University, University Park, College Township, Pennsylvania, United States of America
| | - Javier Nieto
- Faculty of Psychology, Laboratory of Learning and Adaptation, National Autonomous University of Mexico, Mexico City, Mexico
| | - Isaac G-Santoyo
- Faculty of Psychology, Neuroecology Laboratory, National Autonomous University of Mexico, Mexico City, Mexico
- Unidad de Investigación en Psicobiología y Neurociencias, National Autonomous University of Mexico, Mexico City, Mexico
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15
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Faux P, Ding L, Ramirez-Aristeguieta LM, Chacón-Duque JC, Comini M, Mendoza-Revilla J, Fuentes-Guajardo M, Jaramillo C, Arias W, Hurtado M, Villegas V, Granja V, Barquera R, Everardo-Martínez P, Quinto-Sánchez M, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Hünemeier T, Ramallo V, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acuña-Alonzo V, Canizales-Quinteros S, Poletti G, Gallo C, Rothhammer F, Rojas W, Schmid AB, Adhikari K, Bennett DL, Ruiz-Linares A. Neanderthal introgression in SCN9A impacts mechanical pain sensitivity. Commun Biol 2023; 6:958. [PMID: 37816865 PMCID: PMC10564861 DOI: 10.1038/s42003-023-05286-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 08/25/2023] [Indexed: 10/12/2023] Open
Abstract
The Nav1.7 voltage-gated sodium channel plays a key role in nociception. Three functional variants in the SCN9A gene (encoding M932L, V991L, and D1908G in Nav1.7), have recently been identified as stemming from Neanderthal introgression and to associate with pain symptomatology in UK BioBank data. In 1000 genomes data, these variants are absent in Europeans but common in Latin Americans. Analysing high-density genotype data from 7594 Latin Americans, we characterized Neanderthal introgression in SCN9A. We find that tracts of introgression occur on a Native American genomic background, have an average length of ~123 kb and overlap the M932L, V991L, and D1908G coding positions. Furthermore, we measured experimentally six pain thresholds in 1623 healthy Colombians. We found that Neanderthal ancestry in SCN9A is significantly associated with a lower mechanical pain threshold after sensitization with mustard oil and evidence of additivity of effects across Nav1.7 variants. Our findings support the reported association of Neanderthal Nav1.7 variants with clinical pain, define a specific sensory modality affected by archaic introgression in SCN9A and are consistent with independent effects of the Neanderthal variants on Nav1.7 function.
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Affiliation(s)
- Pierre Faux
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, 200438, Shanghai, China
- UMR ADES, Aix-Marseille Université, CNRS, EFS, 13005, Marseille, France
- UMR GenPhySE, INRAE, INP, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France
| | - Li Ding
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, 200438, Shanghai, China
| | | | - J Camilo Chacón-Duque
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, SE-10691, Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, SE-1069, Stockholm, Sweden
- Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK
| | - Maddalena Comini
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK
| | - Javier Mendoza-Revilla
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
- Unit of Human Evolutionary Genetics, Institut Pasteur, 75015, Paris, France
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, 1000000, Arica, Chile
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, 5001000, Medellín, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, 5001000, Medellín, Colombia
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Rodrigo Barquera
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), 07745, Jena, Germany
| | - Paola Everardo-Martínez
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
| | - Mirsha Quinto-Sánchez
- Forensic Science, Faculty of Medicine, UNAM (Universidad Nacional Autónoma de México), 06320, Mexico City, Mexico
| | - Jorge Gómez-Valdés
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, 4510, Mexico City, Mexico
| | | | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, 05508-090, São Paulo, SP, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, 90040-060, Porto Alegre, Brasil
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, U9129ACD, Puerto Madryn, Argentina
| | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, U9129ACD, Puerto Madryn, Argentina
| | - Lavinia Schüler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, 90040-060, Porto Alegre, Brasil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, 90040-060, Porto Alegre, Brasil
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, 4510, Mexico City, Mexico
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, 1000000, Arica, Chile
| | - Winston Rojas
- GENMOL (Genética Molecular), Universidad de Antioquia, 5001000, Medellín, Colombia
| | - Annina B Schmid
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK.
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, UK.
- Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
| | - David L Bennett
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK.
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, 200438, Shanghai, China.
- UMR ADES, Aix-Marseille Université, CNRS, EFS, 13005, Marseille, France.
- Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK.
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16
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Pryor Y, Lindo J. Deconstructing Eurocentrism in skin pigmentation research via the incorporation of diverse populations and theoretical perspectives. Evol Anthropol 2023; 32:195-205. [PMID: 37450551 DOI: 10.1002/evan.21993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 03/29/2023] [Accepted: 06/16/2023] [Indexed: 07/18/2023]
Abstract
The evolution of skin pigmentation has been shaped by numerous biological and cultural shifts throughout human history. Vitamin D is considered a driver of depigmentation evolution in humans, given the deleterious health effects associated with vitamin D deficiency, which is often shaped by cultural factors. New advancements in genomics and epigenomics have opened the door to a deeper exploration of skin pigmentation evolution in both contemporary and ancient populations. Data from ancient Europeans has offered great context to the spread of depigmentation alleles via the evaluation of migration events and cultural shifts that occurred during the Neolithic. However, novel insights can further be gained via the inclusion of diverse ancient and contemporary populations. Here we present on how potential biases and limitations in skin pigmentation research can be overcome with the integration of interdisciplinary data that includes both cultural and biological elements, which have shaped the evolutionary history of skin pigmentation in humans.
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Affiliation(s)
- Yemko Pryor
- Genetics and Molecular Biology, Emory University, Atlanta, Georgia, USA
| | - John Lindo
- Department of Anthropology, Emory University, Atlanta, Georgia, USA
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17
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Elkin J, Martin A, Courtier-Orgogozo V, Santos ME. Analysis of the genetic loci of pigment pattern evolution in vertebrates. Biol Rev Camb Philos Soc 2023; 98:1250-1277. [PMID: 37017088 DOI: 10.1111/brv.12952] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/08/2023] [Accepted: 03/14/2023] [Indexed: 04/06/2023]
Abstract
Vertebrate pigmentation patterns are amongst the best characterised model systems for studying the genetic basis of adaptive evolution. The wealth of available data on the genetic basis for pigmentation evolution allows for analysis of trends and quantitative testing of evolutionary hypotheses. We employed Gephebase, a database of genetic variants associated with natural and domesticated trait variation, to examine trends in how cis-regulatory and coding mutations contribute to vertebrate pigmentation phenotypes, as well as factors that favour one mutation type over the other. We found that studies with lower ascertainment bias identified higher proportions of cis-regulatory mutations, and that cis-regulatory mutations were more common amongst animals harbouring a higher number of pigment cell classes. We classified pigmentation traits firstly according to their physiological basis and secondly according to whether they affect colour or pattern, and identified that carotenoid-based pigmentation and variation in pattern boundaries are preferentially associated with cis-regulatory change. We also classified genes according to their developmental, cellular, and molecular functions. We found a greater proportion of cis-regulatory mutations in genes implicated in upstream developmental processes compared to those involved in downstream cellular functions, and that ligands were associated with a higher proportion of cis-regulatory mutations than their respective receptors. Based on these trends, we discuss future directions for research in vertebrate pigmentation evolution.
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Affiliation(s)
- Joel Elkin
- Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK
| | - Arnaud Martin
- Department of Biological Sciences, The George Washington University, 800 22nd St. NW, Suite 6000, Washington, DC, 20052, USA
| | | | - M Emília Santos
- Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK
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18
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Malyarchuk BA. The role of Beringia in human adaptation to Arctic conditions based on results of genomic studies of modern and ancient populations. Vavilovskii Zhurnal Genet Selektsii 2023; 27:373-382. [PMID: 37465192 PMCID: PMC10350865 DOI: 10.18699/vjgb-23-45] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/15/2022] [Accepted: 10/15/2022] [Indexed: 07/20/2023] Open
Abstract
The results of studies in Quaternary geology, archeology, paleoanthropology and human genetics demonstrate that the ancestors of Native Americans arrived in mid-latitude North America mainly along the Pacific Northwest Coast, but had previously inhabited the Arctic and during the last glacial maximum were in a refugium in Beringia, a land bridge connecting Eurasia and North America. The gene pool of Native Americans is represented by unique haplogroups of mitochondrial DNA and the Y chromosome, the evolutionary age of which ranges from 13 to 22 thousand years. The results of a paleogenomic analysis also show that during the last glacial maximum Beringia was populated by human groups that had arisen as a result of interaction between the most ancient Upper Paleolithic populations of Northern Eurasia and newcomer groups from East Asia. Approximately 20 thousand years ago the Beringian populations began to form, and the duration of their existence in relative isolation is estimated at about 5 thousand years. Thus, the adaptation of the Beringians to the Arctic conditions could have taken several millennia. The adaptation of Amerindian ancestors to high latitudes and cold climates is supported by genomic data showing that adaptive genetic variants in Native Americans are associated with various metabolic pathways: melanin production processes in the skin, hair and eyes, the functioning of the cardiovascular system, energy metabolism and immune response characteristics. Meanwhile, the analysis of the existing hypotheses about the selection of some genetic variants in the Beringian ancestors of the Amerindians in connection with adaptation to the Arctic conditions (for example, in the FADS, ACTN3, EDAR genes) shows the ambiguity of the testing results, which may be due to the loss of some traces of the "Beringian" adaptation in the gene pools of modern Native Americans. The most optimal strategy for further research seems to be the search for adaptive variant.
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Affiliation(s)
- B A Malyarchuk
- Institute of Biological Problems of the North, Far-East Branch of the Russian Academy of Sciences, Magadan, Russia N.A. Shilo North-East Interdisciplinary Scientific Research Institute, Far-East Branch of the Russian Academy of Sciences, Magadan, Russia
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19
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Ang KC, Canfield VA, Foster TC, Harbaugh TD, Early KA, Harter RL, Reid KP, Leong SL, Kawasawa Y, Liu D, Hawley JW, Cheng KC. Native American genetic ancestry and pigmentation allele contributions to skin color in a Caribbean population. eLife 2023; 12:e77514. [PMID: 37294081 PMCID: PMC10371226 DOI: 10.7554/elife.77514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 06/08/2023] [Indexed: 06/10/2023] Open
Abstract
Our interest in the genetic basis of skin color variation between populations led us to seek a Native American population with genetically African admixture but low frequency of European light skin alleles. Analysis of 458 genomes from individuals residing in the Kalinago Territory of the Commonwealth of Dominica showed approximately 55% Native American, 32% African, and 12% European genetic ancestry, the highest Native American genetic ancestry among Caribbean populations to date. Skin pigmentation ranged from 20 to 80 melanin units, averaging 46. Three albino individuals were determined to be homozygous for a causative multi-nucleotide polymorphism OCA2NW273KV contained within a haplotype of African origin; its allele frequency was 0.03 and single allele effect size was -8 melanin units. Derived allele frequencies of SLC24A5A111T and SLC45A2L374F were 0.14 and 0.06, with single allele effect sizes of -6 and -4, respectively. Native American genetic ancestry by itself reduced pigmentation by more than 20 melanin units (range 24-29). The responsible hypopigmenting genetic variants remain to be identified, since none of the published polymorphisms predicted in prior literature to affect skin color in Native Americans caused detectable hypopigmentation in the Kalinago.
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Affiliation(s)
- Khai C Ang
- Department of Pathology, Penn State College of MedicineHersheyUnited States
- Jake Gittlen Laboratories for Cancer Research, Penn State College of MedicineHersheyUnited States
| | - Victor A Canfield
- Department of Pathology, Penn State College of MedicineHersheyUnited States
- Jake Gittlen Laboratories for Cancer Research, Penn State College of MedicineHersheyUnited States
| | - Tiffany C Foster
- Department of Pathology, Penn State College of MedicineHersheyUnited States
- Jake Gittlen Laboratories for Cancer Research, Penn State College of MedicineHersheyUnited States
| | - Thaddeus D Harbaugh
- Department of Pathology, Penn State College of MedicineHersheyUnited States
- Jake Gittlen Laboratories for Cancer Research, Penn State College of MedicineHersheyUnited States
| | - Kathryn A Early
- Department of Pathology, Penn State College of MedicineHersheyUnited States
- Jake Gittlen Laboratories for Cancer Research, Penn State College of MedicineHersheyUnited States
| | - Rachel L Harter
- Department of Pathology, Penn State College of MedicineHersheyUnited States
| | - Katherine P Reid
- Department of Pathology, Penn State College of MedicineHersheyUnited States
- Jake Gittlen Laboratories for Cancer Research, Penn State College of MedicineHersheyUnited States
| | - Shou Ling Leong
- Department of Family & Community Medicine, Penn State College of MedicineHersheyUnited States
| | - Yuka Kawasawa
- Department of Biochemistry and Molecular Biology, Penn State College of MedicineHersheyUnited States
- Department of Pharmacology, Penn State College of MedicineHersheyUnited States
- Institute of Personalized Medicine, Penn State College of MedicineHersheyUnited States
| | - Dajiang Liu
- Department of Biochemistry and Molecular Biology, Penn State College of MedicineHersheyUnited States
- Department of Public Health Sciences, Penn State College of MedicineHersheyUnited States
| | | | - Keith C Cheng
- Department of Pathology, Penn State College of MedicineHersheyUnited States
- Jake Gittlen Laboratories for Cancer Research, Penn State College of MedicineHersheyUnited States
- Department of Biochemistry and Molecular Biology, Penn State College of MedicineHersheyUnited States
- Department of Pharmacology, Penn State College of MedicineHersheyUnited States
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20
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Peng Q, Liu Y, Huels A, Zhang C, Yu Y, Qiu W, Cai X, Zhao Y, Schikowski T, Merches K, Liu Y, Yang Y, Wang J, Zhao Y, Jin L, Zhang L, Krutmann J, Wang S. Genetic Variants in Telomerase Reverse Transcriptase Contribute to Solar Lentigines. J Invest Dermatol 2023; 143:1062-1072.e25. [PMID: 36572090 DOI: 10.1016/j.jid.2022.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 10/01/2022] [Accepted: 11/11/2022] [Indexed: 12/26/2022]
Abstract
Solar lentigines (SLs) are a hallmark of human skin aging. They result from chronic exposure to sunlight and other environmental stressors. Recent studies also imply genetic factors, but findings are partially conflicting and lack of replication. Through a multi-trait based analysis strategy, we discovered that genetic variants in telomerase reverse transcriptase were significantly associated with non-facial SL in two East Asian (Taizhou longitudinal cohort, n = 2,964 and National Survey of Physical Traits, n = 2,954) and one Caucasian population (SALIA, n = 462), top SNP rs2853672 (P-value for Taizhou longitudinal cohort = 1.32 × 10‒28 and P-value for National Survey of Physical Traits = 3.66 × 10‒17 and P-value for SALIA = 0.0007 and Pmeta = 4.93 × 10‒44). The same variants were nominally associated with facial SL but not with other skin aging or skin pigmentation traits. The SL-enhanced allele/haplotype upregulated the transcription of the telomerase reverse transcriptase gene. Of note, well-known telomerase reverse transcriptase‒related aging markers such as leukocyte telomere length and intrinsic epigenetic age acceleration were not associated with SL. Our results indicate a previously unrecognized role of telomerase reverse transcriptase in skin aging‒related lentigines formation.
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Affiliation(s)
- Qianqian Peng
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yu Liu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Anke Huels
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; Faculty of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Canfeng Zhang
- Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Yao Yu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Wenqing Qiu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Xiyang Cai
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yuepu Zhao
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Tamara Schikowski
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Katja Merches
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Yun Liu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Yajun Yang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, Fudan University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, Fudan University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Yong Zhao
- Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, Fudan University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China; Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jean Krutmann
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, Fudan University, Shanghai, China; Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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21
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Villaplana-Velasco A, Pigeyre M, Engelmann J, Rawlik K, Canela-Xandri O, Tochel C, Lona-Durazo F, Mookiah MRK, Doney A, Parra EJ, Trucco E, MacGillivray T, Rannikmae K, Tenesa A, Pairo-Castineira E, Bernabeu MO. Fine-mapping of retinal vascular complexity loci identifies Notch regulation as a shared mechanism with myocardial infarction outcomes. Commun Biol 2023; 6:523. [PMID: 37188768 PMCID: PMC10185685 DOI: 10.1038/s42003-023-04836-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 04/12/2023] [Indexed: 05/17/2023] Open
Abstract
There is increasing evidence that the complexity of the retinal vasculature measured as fractal dimension, Df, might offer earlier insights into the progression of coronary artery disease (CAD) before traditional biomarkers can be detected. This association could be partly explained by a common genetic basis; however, the genetic component of Df is poorly understood. We present a genome-wide association study (GWAS) of 38,000 individuals with white British ancestry from the UK Biobank aimed to comprehensively study the genetic component of Df and analyse its relationship with CAD. We replicated 5 Df loci and found 4 additional loci with suggestive significance (P < 1e-05) to contribute to Df variation, which previously were reported in retinal tortuosity and complexity, hypertension, and CAD studies. Significant negative genetic correlation estimates support the inverse relationship between Df and CAD, and between Df and myocardial infarction (MI), one of CAD's fatal outcomes. Fine-mapping of Df loci revealed Notch signalling regulatory variants supporting a shared mechanism with MI outcomes. We developed a predictive model for MI incident cases, recorded over a 10-year period following clinical and ophthalmic evaluation, combining clinical information, Df, and a CAD polygenic risk score. Internal cross-validation demonstrated a considerable improvement in the area under the curve (AUC) of our predictive model (AUC = 0.770 ± 0.001) when comparing with an established risk model, SCORE, (AUC = 0.741 ± 0.002) and extensions thereof leveraging the PRS (AUC = 0.728 ± 0.001). This evidences that Df provides risk information beyond demographic, lifestyle, and genetic risk factors. Our findings shed new light on the genetic basis of Df, unveiling a common control with MI, and highlighting the benefits of its application in individualised MI risk prediction.
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Affiliation(s)
- Ana Villaplana-Velasco
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, Scotland, UK
- Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Marie Pigeyre
- Population Health Research Institute (PHRI), Department of Medicine, Faculty of Health Sciences, McMaster University, McMaster University, Hamilton, Ontario, Canada
| | - Justin Engelmann
- Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Konrad Rawlik
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Oriol Canela-Xandri
- MRC Human Genetics Unit, IGC, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Claire Tochel
- Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, Scotland, UK
| | | | | | - Alex Doney
- VAMPIRE project, Computing, School of Science and Engineering, University of Dundee, Dundee, Scotland, UK
| | - Esteban J Parra
- University of Toronto at Mississauga, Mississauga, Ontario, Canada
| | - Emanuele Trucco
- VAMPIRE project, Computing, School of Science and Engineering, University of Dundee, Dundee, Scotland, UK
| | - Tom MacGillivray
- VAMPIRE project, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Kristiina Rannikmae
- Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Albert Tenesa
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, Scotland, UK
- Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, Scotland, UK
- MRC Human Genetics Unit, IGC, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Erola Pairo-Castineira
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Miguel O Bernabeu
- Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, Scotland, UK.
- The Bayes Centre, The University of Edinburgh, Edinburgh, Scotland, UK.
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22
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Li Q, Chen J, Faux P, Delgado ME, Bonfante B, Fuentes-Guajardo M, Mendoza-Revilla J, Chacón-Duque JC, Hurtado M, Villegas V, Granja V, Jaramillo C, Arias W, Barquera R, Everardo-Martínez P, Sánchez-Quinto M, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Hünemeier T, Ramallo V, Wu S, Du S, Giardina A, Paria SS, Khokan MR, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acuña-Alonzo V, Canizales-Quinteros S, Gallo C, Poletti G, Rojas W, Rothhammer F, Navarro N, Wang S, Adhikari K, Ruiz-Linares A. Automatic landmarking identifies new loci associated with face morphology and implicates Neanderthal introgression in human nasal shape. Commun Biol 2023; 6:481. [PMID: 37156940 PMCID: PMC10167347 DOI: 10.1038/s42003-023-04838-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 04/12/2023] [Indexed: 05/10/2023] Open
Abstract
We report a genome-wide association study of facial features in >6000 Latin Americans based on automatic landmarking of 2D portraits and testing for association with inter-landmark distances. We detected significant associations (P-value <5 × 10-8) at 42 genome regions, nine of which have been previously reported. In follow-up analyses, 26 of the 33 novel regions replicate in East Asians, Europeans, or Africans, and one mouse homologous region influences craniofacial morphology in mice. The novel region in 1q32.3 shows introgression from Neanderthals and we find that the introgressed tract increases nasal height (consistent with the differentiation between Neanderthals and modern humans). Novel regions include candidate genes and genome regulatory elements previously implicated in craniofacial development, and show preferential transcription in cranial neural crest cells. The automated approach used here should simplify the collection of large study samples from across the world, facilitating a cosmopolitan characterization of the genetics of facial features.
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Affiliation(s)
- Qing Li
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China
| | - Jieyi Chen
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Pierre Faux
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille, 13005, France
| | - Miguel Eduardo Delgado
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China
- División Antropología, Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata, La Plata, República Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, Buenos Aires, República Argentina
| | - Betty Bonfante
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille, 13005, France
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, 1000000, Chile
| | - Javier Mendoza-Revilla
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
- Unit of Human Evolutionary Genetics, Institut Pasteur, Paris, 75015, France
| | - J Camilo Chacón-Duque
- Division of Vertebrates and Anthropology, Department of Earth Sciences, Natural History Museum, London, SW7 5BD, UK
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - Rodrigo Barquera
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, Mexico, 6600, Mexico
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, 07745, Germany
| | - Paola Everardo-Martínez
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, Mexico, 6600, Mexico
| | - Mirsha Sánchez-Quinto
- Forensic Science, Faculty of Medicine, UNAM (Universidad Nacional Autónoma de México), Mexico City, 06320, Mexico
| | - Jorge Gómez-Valdés
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, Mexico, 6600, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, 4510, Mexico
| | | | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, SP, 05508-090, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 90040-060, Brazil
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, U9129ACD, Argentina
| | - Sijie Wu
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Siyuan Du
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Andrea Giardina
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, United Kingdom
| | - Soumya Subhra Paria
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, United Kingdom
| | - Mahfuzur Rahman Khokan
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, United Kingdom
| | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, U9129ACD, Argentina
| | - Lavinia Schüler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 90040-060, Brazil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, 90040-060, Brazil
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, Mexico, 6600, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, 4510, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Winston Rojas
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Arica, 1000000, Chile
| | - Nicolas Navarro
- Biogéosciences, UMR 6282 CNRS, Université de Bourgogne, Dijon, 21000, France
- EPHE, PSL University, Paris, 75014, France
| | - Sijia Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, United Kingdom.
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, 200438, China.
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille, 13005, France.
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.
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23
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Qin M, Chen W, Hua L, Meng Y, Wang J, Li H, Yang R, Yan L, Qiao J. DNA methylation abnormalities induced by advanced maternal age in villi prime a high-risk state for spontaneous abortion. Clin Epigenetics 2023; 15:44. [PMID: 36945044 PMCID: PMC10029192 DOI: 10.1186/s13148-023-01432-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/20/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Advanced maternal age (AMA) has increased in many high-income countries in recent decades. AMA is generally associated with a higher risk of various pregnancy complications, and the underlying molecular mechanisms are largely unknown. In the current study, we profiled the DNA methylome of 24 human chorionic villi samples (CVSs) from early pregnancies in AMA and young maternal age (YMA), 11 CVSs from early spontaneous abortion (SA) cases using reduced representation bisulfite sequencing (RRBS), and the transcriptome of 10 CVSs from AMA and YMA pregnancies with mRNA sequencing(mRNA-seq). Single-cell villous transcriptional atlas presented expression patterns of targeted AMA-/SA-related genes. Trophoblast cellular impairment was investigated through the knockdown of GNE expression in HTR8-S/Vneo cells. RESULTS AMA-induced local DNA methylation changes, defined as AMA-related differentially methylated regions (DMRs), may be derived from the abnormal expression of genes involved in DNA demethylation, such as GADD45B. These DNA methylation changes were significantly enriched in the processes involved in NOTCH signaling and extracellular matrix organization and were reflected in the transcriptional alterations in the corresponding biological processes and specific genes. Furthermore, the DNA methylation level of special AMA-related DMRs not only significantly changed in AMA but also showed more excessive defects in CVS from spontaneous abortion (SA), including four AMA-related DMRs whose nearby genes overlapped with AMA-related differentially expressed genes (DEGs) (CDK11A, C19orf71, COL5A1, and GNE). The decreased DNA methylation level of DMR near GNE was positively correlated with the downregulated expression of GNE in AMA. Single-cell atlas further revealed comparatively high expression of GNE in the trophoblast lineage, and knockdown of GNE in HTR8-S/Vneo cells significantly impaired cellular proliferation and migration. CONCLUSION Our study provides valuable resources for investigating AMA-induced epigenetic abnormalities and provides new insights for explaining the increased risks of pregnancy complications in AMA pregnancies.
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Affiliation(s)
- Meng Qin
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191 China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191 China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191 China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191 China
| | - Wei Chen
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191 China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191 China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191 China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191 China
| | - Lingyue Hua
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191 China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191 China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191 China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191 China
| | - Yan Meng
- Department of Obstetrics and Gynecology, Beijing Jishuitan Hospital, Beijing, 100096 China
| | - Jing Wang
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191 China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191 China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191 China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191 China
| | - Hanna Li
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191 China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191 China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191 China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191 China
| | - Rui Yang
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191 China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191 China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191 China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191 China
| | - Liying Yan
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191 China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191 China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191 China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191 China
- National Center for Healthcare Quality Management in Obstetrics, Beijing, 100191 China
| | - Jie Qiao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191 China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, 100191 China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, 100191 China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191 China
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191 China
- Beijing Advanced Innovation Center for Genomics, Beijing, 100871 China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 China
- Research Units of Comprehensive Diagnosis and Treatment of Oocyte Maturation Arrest, Beijing Jishuitan Hospital, Beijing, 100191 China
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24
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Fan S, Spence JP, Feng Y, Hansen MEB, Terhorst J, Beltrame MH, Ranciaro A, Hirbo J, Beggs W, Thomas N, Nyambo T, Mpoloka SW, Mokone GG, Njamnshi A, Folkunang C, Meskel DW, Belay G, Song YS, Tishkoff SA. Whole-genome sequencing reveals a complex African population demographic history and signatures of local adaptation. Cell 2023; 186:923-939.e14. [PMID: 36868214 PMCID: PMC10568978 DOI: 10.1016/j.cell.2023.01.042] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 10/16/2022] [Accepted: 01/30/2023] [Indexed: 03/05/2023]
Abstract
We conduct high coverage (>30×) whole-genome sequencing of 180 individuals from 12 indigenous African populations. We identify millions of unreported variants, many predicted to be functionally important. We observe that the ancestors of southern African San and central African rainforest hunter-gatherers (RHG) diverged from other populations >200 kya and maintained a large effective population size. We observe evidence for ancient population structure in Africa and for multiple introgression events from "ghost" populations with highly diverged genetic lineages. Although currently geographically isolated, we observe evidence for gene flow between eastern and southern Khoesan-speaking hunter-gatherer populations lasting until ∼12 kya. We identify signatures of local adaptation for traits related to skin color, immune response, height, and metabolic processes. We identify a positively selected variant in the lightly pigmented San that influences pigmentation in vitro by regulating the enhancer activity and gene expression of PDPK1.
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Affiliation(s)
- Shaohua Fan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, School of Life Science, Fudan University, Shanghai, 200438, China; Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jeffrey P Spence
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Yuanqing Feng
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew E B Hansen
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jonathan Terhorst
- Department of Statistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Marcia H Beltrame
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alessia Ranciaro
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jibril Hirbo
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - William Beggs
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Neil Thomas
- Computer Science Division, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Thomas Nyambo
- Department of Biochemistry, Kampala International University in Tanzania, P.O. Box 9790, Dar es Salaam, Tanzania
| | - Sununguko Wata Mpoloka
- Department of Biological Sciences, Faculty of Science, University of Botswana Gaborone, Private Bag UB 0022, Gaborone, Botswana
| | - Gaonyadiwe George Mokone
- Department of Biomedical Sciences, Faculty of Medicine, University of Botswana Gaborone, Private Bag UB 0022, Gaborone, Botswana
| | - Alfred Njamnshi
- Department of Neurology, Central Hospital Yaoundé; Brain Research Africa Initiative (BRAIN), Neuroscience Lab, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, P.O. Box 337, Yaoundé, Cameroon
| | - Charles Folkunang
- Department of Pharmacotoxicology and Pharmacokinetics, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, P.O. Box 337, Yaoundé, Cameroon
| | - Dawit Wolde Meskel
- Department of Microbial Cellular and Molecular Biology, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia
| | - Gurja Belay
- Department of Microbial Cellular and Molecular Biology, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia
| | - Yun S Song
- Computer Science Division, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Statistics, University of California, Berkeley, Berkeley, CA 94720, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Sarah A Tishkoff
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
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25
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Garcia-Elfring A, Sabin CE, Iouchmanov AL, Roffey HL, Samudra SP, Alcala AJ, Osman RS, Lauderdale JD, Hendry AP, Menke DB, Barrett RDH. Piebaldism and chromatophore development in reptiles are linked to the tfec gene. Curr Biol 2023; 33:755-763.e3. [PMID: 36702128 DOI: 10.1016/j.cub.2023.01.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 11/12/2022] [Accepted: 01/04/2023] [Indexed: 01/26/2023]
Abstract
Reptiles display great diversity in color and pattern, yet much of what we know about vertebrate coloration comes from classic model species such as the mouse and zebrafish.1,2,3,4 Captive-bred ball pythons (Python regius) exhibit a remarkable degree of color and pattern variation. Despite the wide range of Mendelian color phenotypes available in the pet trade, ball pythons remain an overlooked species in pigmentation research. Here, we investigate the genetic basis of the recessive piebald phenotype, a pattern defect characterized by patches of unpigmented skin (leucoderma). We performed whole-genome sequencing and used a case-control approach to discover a nonsense mutation in the gene encoding the transcription factor tfec, implicating this gene in the leucodermic patches in ball pythons. We functionally validated tfec in a lizard model (Anolis sagrei) using the gene editing CRISPR/Cas9 system and TEM imaging of skin. Our findings show that reading frame mutations in tfec affect coloration and lead to a loss of iridophores in Anolis, indicating that tfec is required for chromatophore development. This study highlights the value of captive-bred ball pythons as a model species for accelerating discoveries on the genetic basis of vertebrate coloration.
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Affiliation(s)
- Alan Garcia-Elfring
- Department of Biology, Redpath Museum, McGill University, Montreal, QC H3A 0G4, Canada.
| | - Christina E Sabin
- Department of Genetics, University of Georgia, Athens, GA 30602, USA; Neuroscience Division of the Biomedical and Translational Sciences Institute, University of Georgia, Athens, GA 30602, USA
| | - Anna L Iouchmanov
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
| | - Heather L Roffey
- Biology Department, Vanier College, Montreal, QC H4L 3X9, Canada
| | - Sukhada P Samudra
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
| | - Aaron J Alcala
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
| | - Rida S Osman
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
| | - James D Lauderdale
- Neuroscience Division of the Biomedical and Translational Sciences Institute, University of Georgia, Athens, GA 30602, USA; Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA
| | - Andrew P Hendry
- Department of Biology, Redpath Museum, McGill University, Montreal, QC H3A 0G4, Canada
| | - Douglas B Menke
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
| | - Rowan D H Barrett
- Department of Biology, Redpath Museum, McGill University, Montreal, QC H3A 0G4, Canada.
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Zhou J, Song F, He Y, Zhang W, Xiao L, Lu W, Li P, Quan M, Zhang D, Du Q. LncRNA evolution and DNA methylation variation participate in photosynthesis pathways of distinct lineages of Populus. FORESTRY RESEARCH 2023; 3:3. [PMID: 39526273 PMCID: PMC11524286 DOI: 10.48130/fr-2023-0003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/11/2023] [Indexed: 11/16/2024]
Abstract
During the independent process of evolution in plants, photosynthesis appears to have been under convergent evolution to adapt to specific selection pressure in their geographical regions. However, it is unclear how lncRNA regulation and DNA methylation are involved in the phenotypic convergence in distinct lineages. Here, we present a large-scale comparative study of lncRNA transcription profile and whole-genome bisulfite sequencing (WGBS) data in two unrelated Populus species, selected from three relatively overlapping geographical regions. The results indicated that 39.75% lncRNAs of Populus tomentosa were shown to have homologous sequences in the 46.99% lncRNA of Populus simonii. Evolutionary analysis revealed that lncRNAs showed a rapid gain rate in the Populus lineage. Furthermore, co-expression networks in two Populus species identified eight lncRNAs that have the potential to simultaneously cis- or trans-regulate eight photosynthetic-related genes. These photosynthetic lncRNAs and genes were predominantly expressed in accessions from the southern region, indicating a conserved spatial expression in photosynthetic pathways in Populus. We also detected that most lncRNA targeted photosynthetic genes hypomethylated in promoter regions of Southern accessions compared with Northern accessions. Geographical DMRs correlated with genetic SNP variations in photosynthetic genes among Populus from the three geographic regions, indicating that DNA methylation coordinated with lncRNAs in convergent evolution of photosynthesis in Populus. Our results shed light on the evolutionary forces acting on patterns of lncRNA and DNA methylation, and provide a better understanding of the genetic and epigenetic mechanism in photosynthetic convergence evolution.
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Affiliation(s)
- Jiaxuan Zhou
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Fangyuan Song
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Yuling He
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Wenke Zhang
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Liang Xiao
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Wenjie Lu
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Peng Li
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Mingyang Quan
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Deqiang Zhang
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Qingzhang Du
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
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Jalilinejad N, Rabiee M, Baheiraei N, Ghahremanzadeh R, Salarian R, Rabiee N, Akhavan O, Zarrintaj P, Hejna A, Saeb MR, Zarrabi A, Sharifi E, Yousefiasl S, Zare EN. Electrically conductive carbon-based (bio)-nanomaterials for cardiac tissue engineering. Bioeng Transl Med 2023; 8:e10347. [PMID: 36684103 PMCID: PMC9842069 DOI: 10.1002/btm2.10347] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 04/22/2022] [Accepted: 04/23/2022] [Indexed: 02/06/2023] Open
Abstract
A proper self-regenerating capability is lacking in human cardiac tissue which along with the alarming rate of deaths associated with cardiovascular disorders makes tissue engineering critical. Novel approaches are now being investigated in order to speedily overcome the challenges in this path. Tissue engineering has been revolutionized by the advent of nanomaterials, and later by the application of carbon-based nanomaterials because of their exceptional variable functionality, conductivity, and mechanical properties. Electrically conductive biomaterials used as cell bearers provide the tissue with an appropriate microenvironment for the specific seeded cells as substrates for the sake of protecting cells in biological media against attacking mechanisms. Nevertheless, their advantages and shortcoming in view of cellular behavior, toxicity, and targeted delivery depend on the tissue in which they are implanted or being used as a scaffold. This review seeks to address, summarize, classify, conceptualize, and discuss the use of carbon-based nanoparticles in cardiac tissue engineering emphasizing their conductivity. We considered electrical conductivity as a key affecting the regeneration of cells. Correspondingly, we reviewed conductive polymers used in tissue engineering and specifically in cardiac repair as key biomaterials with high efficiency. We comprehensively classified and discussed the advantages of using conductive biomaterials in cardiac tissue engineering. An overall review of the open literature on electroactive substrates including carbon-based biomaterials over the last decade was provided, tabulated, and thoroughly discussed. The most commonly used conductive substrates comprising graphene, graphene oxide, carbon nanotubes, and carbon nanofibers in cardiac repair were studied.
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Affiliation(s)
- Negin Jalilinejad
- Biomaterial Group, Department of Biomedical EngineeringAmirkabir University of TechnologyTehranIran
| | - Mohammad Rabiee
- Biomaterial Group, Department of Biomedical EngineeringAmirkabir University of TechnologyTehranIran
| | - Nafiseh Baheiraei
- Tissue Engineering and Applied Cell Sciences Division, Department of Anatomical Sciences, Faculty of Medical SciencesTarbiat Modares UniversityTehranIran
| | | | - Reza Salarian
- Biomedical Engineering DepartmentMaziar UniversityRoyanMazandaranIran
| | - Navid Rabiee
- Department of PhysicsSharif University of TechnologyTehranIran
- School of EngineeringMacquarie UniversitySydneyNew South WalesAustralia
- Department of Materials Science and EngineeringPohang University of Science and Technology (POSTECH), 77 Cheongam‐ro, Nam‐guPohangGyeongbukSouth Korea
| | - Omid Akhavan
- Department of PhysicsSharif University of TechnologyTehranIran
| | - Payam Zarrintaj
- School of Chemical EngineeringOklahoma State UniversityStillwaterOklahomaUSA
| | - Aleksander Hejna
- Department of Polymer Technology, Faculty of ChemistryGdańsk University of TechnologyGdańskPoland
| | - Mohammad Reza Saeb
- Department of Polymer Technology, Faculty of ChemistryGdańsk University of TechnologyGdańskPoland
| | - Ali Zarrabi
- Department of Biomedical Engineering, Faculty of Engineering and Natural SciencesIstinye UniversityIstanbulTurkey
| | - Esmaeel Sharifi
- Department of Tissue Engineering and Biomaterials, School of Advanced Medical Sciences and TechnologiesHamadan University of Medical SciencesHamadanIran
| | - Satar Yousefiasl
- School of DentistryHamadan University of Medical SciencesHamadanIran
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Association of TYR SNP rs1042602 with Melanoma Risk and Prognosis. LIFE (BASEL, SWITZERLAND) 2022; 12:life12122004. [PMID: 36556369 PMCID: PMC9785037 DOI: 10.3390/life12122004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/26/2022] [Accepted: 11/28/2022] [Indexed: 12/02/2022]
Abstract
Cutaneous melanoma is the most aggressive of skin tumors. In order to discover new biomarkers that could help us improve prognostic prediction in melanoma patients, we have searched for germline DNA variants associated with melanoma progression. Thus, after exome sequencing of a set of melanoma patients and healthy control individuals, we identified rs1042602, an SNP within TYR, as a good candidate. After genotyping rs1042602 in 1025 patients and 773 healthy donors, we found that the rs1042602-A allele was significantly associated with susceptibility to melanoma (CATT test: p = 0.0035). Interestingly, we also observed significant differences between patients with good and bad prognosis (5 years of follow-up) (n = 664) (CATT test for all samples p = 0.0384 and for men alone p = 0.0054). Disease-free-survival (DFS) analyses also showed that patients with the A allele had shorter DFS periods. In men, the association remained significant even in a multivariate Cox Proportional-hazards model, which was adjusted for age at diagnosis, Breslow thickness, ulceration and melanoma subtype (HR 0.4; 95% confidence interval (CI) 0.20-0.83; p = 0.0139). Based on our results, we propose that rs1042602-A is a risk allele for melanoma, which also seems to be responsible for a poorer prognosis of the disease, particularly in men.
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29
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You J, Yusupova M, Zippin JH. The potential impact of melanosomal pH and metabolism on melanoma. Front Oncol 2022; 12:887770. [PMID: 36483028 PMCID: PMC9723380 DOI: 10.3389/fonc.2022.887770] [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: 03/02/2022] [Accepted: 08/08/2022] [Indexed: 11/23/2022] Open
Abstract
Melanin is synthesized in melanocytes and is transferred into keratinocytes to block the effects of ultraviolet (UV) radiation and is important for preventing skin cancers including melanoma. However, it is known that after melanomagenesis and melanoma invasion or metastases, melanin synthesis still occurs. Since melanoma cells are no longer involved in the sun tanning process, it is unclear why melanocytes would maintain melanin synthesis after melanomagenesis has occurred. Aside from blocking UV-induced DNA mutation, melanin may provide other metabolic functions that could benefit melanoma. In addition, studies have suggested that there may be a selective advantage to melanin synthesis in melanoma; however, mechanisms regulating melanin synthesis outside the epidermis or hair follicle is unknown. We will discuss how melanosomal pH controls melanin synthesis in melanocytes and how melanosomal pH control of melanin synthesis might function in melanoma. We will also discuss potential reasons why melanin synthesis might be beneficial for melanoma cellular metabolism and provide a rationale for why melanin synthesis is not limited to benign melanocytes.
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30
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Wang H, Wen J, Li H, Zhu T, Zhao X, Zhang J, Zhang X, Tang C, Qu L, Gemingguli M. Candidate pigmentation genes related to feather color variation in an indigenous chicken breed revealed by whole genome data. Front Genet 2022; 13:985228. [PMID: 36479242 PMCID: PMC9720402 DOI: 10.3389/fgene.2022.985228] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 10/10/2022] [Indexed: 08/27/2023] Open
Abstract
Chicken plumage color is an inheritable phenotype that was naturally and artificially selected for during domestication. The Baicheng You chicken is an indigenous Chinese chicken breed presenting three main feather colors, lavender, black, and yellow plumages. To explore the genetic mechanisms underlying the pigmentation in Baicheng You chickens, we re-sequenced the whole genome of Baicheng You chicken with the three plumage colors. By analyzing the divergent regions of the genome among the chickens with different feather colors, we identified some candidate genomic regions associated with the feather colors in Baicheng You chickens. We found that EGR1, MLPH, RAB17, SOX5, and GRM5 genes were the potential genes for black, lavender, and yellow feathers. MLPH, GRM5, and SOX5 genes have been found to be related to plumage colors in birds. Our results showed that EGR1 is a most plausible candidate gene for black plumage, RAB17, MLPH, and SOX5 for lavender plumage, and GRM5 for yellow plumage in Baicheng You chicken.
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Affiliation(s)
- Huie Wang
- Xinjiang Production and Construction Corps, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar, China
- College of Life Science and Technology, College of Animal Science and Technology, Tarim University, Alar, China
| | - Junhui Wen
- National Engineering Laboratory for Animal Breeding, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Haiying Li
- College of Animal Science, Xinjiang Agricultural University, Urumchi, China
| | - Tao Zhu
- National Engineering Laboratory for Animal Breeding, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xiurong Zhao
- National Engineering Laboratory for Animal Breeding, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jinxin Zhang
- National Engineering Laboratory for Animal Breeding, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xinye Zhang
- National Engineering Laboratory for Animal Breeding, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Chi Tang
- Xinjiang Production and Construction Corps, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar, China
| | - Lujiang Qu
- Xinjiang Production and Construction Corps, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar, China
- National Engineering Laboratory for Animal Breeding, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - M. Gemingguli
- Xinjiang Production and Construction Corps, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar, China
- College of Life Science and Technology, College of Animal Science and Technology, Tarim University, Alar, China
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Abstract
Strong ultraviolet (UV) radiation at high altitude imposes a serious selective pressure, which may induce skin pigmentation adaptation of indigenous populations. We conducted skin pigmentation phenotyping and genome-wide analysis of Tibetans in order to understand the underlying mechanism of adaptation to UV radiation. We observe that Tibetans have darker baseline skin color compared with lowland Han Chinese, as well as an improved tanning ability, suggesting a two-level adaptation to boost their melanin production. A genome-wide search for the responsible genes identifies GNPAT showing strong signals of positive selection in Tibetans. An enhancer mutation (rs75356281) located in GNPAT intron 2 is enriched in Tibetans (58%) but rare in other world populations (0 to 18%). The adaptive allele of rs75356281 is associated with darker skin in Tibetans and, under UVB treatment, it displays higher enhancer activities compared with the wild-type allele in in vitro luciferase assays. Transcriptome analyses of gene-edited cells clearly show that with UVB treatment, the adaptive variant of GNPAT promotes melanin synthesis, likely through the interactions of CAT and ACAA1 in peroxisomes with other pigmentation genes, and they act synergistically, leading to an improved tanning ability in Tibetans for UV protection.
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32
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Carratto TMT, Moraes VMS, Recalde TSF, Oliveira MLGD, Teixeira Mendes-Junior C. Applications of massively parallel sequencing in forensic genetics. Genet Mol Biol 2022; 45:e20220077. [PMID: 36121926 PMCID: PMC9514793 DOI: 10.1590/1678-4685-gmb-2022-0077] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 07/15/2022] [Indexed: 11/22/2022] Open
Abstract
Massively parallel sequencing, also referred to as next-generation sequencing, has positively changed DNA analysis, allowing further advances in genetics. Its capability of dealing with low quantity/damaged samples makes it an interesting instrument for forensics. The main advantage of MPS is the possibility of analyzing simultaneously thousands of genetic markers, generating high-resolution data. Its detailed sequence information allowed the discovery of variations in core forensic short tandem repeat loci, as well as the identification of previous unknown polymorphisms. Furthermore, different types of markers can be sequenced in a single run, enabling the emergence of DIP-STRs, SNP-STR haplotypes, and microhaplotypes, which can be very useful in mixture deconvolution cases. In addition, the multiplex analysis of different single nucleotide polymorphisms can provide valuable information about identity, biogeographic ancestry, paternity, or phenotype. DNA methylation patterns, mitochondrial DNA, mRNA, and microRNA profiling can also be analyzed for different purposes, such as age inference, maternal lineage analysis, body-fluid identification, and monozygotic twin discrimination. MPS technology also empowers the study of metagenomics, which analyzes genetic material from a microbial community to obtain information about individual identification, post-mortem interval estimation, geolocation inference, and substrate analysis. This review aims to discuss the main applications of MPS in forensic genetics.
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Affiliation(s)
- Thássia Mayra Telles Carratto
- Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Ribeirão Preto, SP, Brazil
| | - Vitor Matheus Soares Moraes
- Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Ribeirão Preto, SP, Brazil
| | | | | | - Celso Teixeira Mendes-Junior
- Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Ribeirão Preto, SP, Brazil
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33
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Trendafilova T, Adhikari K, Schmid AB, Patel R, Polgár E, Chisholm KI, Middleton SJ, Boyle K, Dickie AC, Semizoglou E, Perez-Sanchez J, Bell AM, Ramirez-Aristeguieta LM, Khoury S, Ivanov A, Wildner H, Ferris E, Chacón-Duque JC, Sokolow S, Saad Boghdady MA, Herchuelz A, Faux P, Poletti G, Gallo C, Rothhammer F, Bedoya G, Zeilhofer HU, Diatchenko L, McMahon SB, Todd AJ, Dickenson AH, Ruiz-Linares A, Bennett DL. Sodium-calcium exchanger-3 regulates pain "wind-up": From human psychophysics to spinal mechanisms. Neuron 2022; 110:2571-2587.e13. [PMID: 35705078 PMCID: PMC7613464 DOI: 10.1016/j.neuron.2022.05.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 03/31/2022] [Accepted: 05/16/2022] [Indexed: 11/17/2022]
Abstract
Repeated application of noxious stimuli leads to a progressively increased pain perception; this temporal summation is enhanced in and predictive of clinical pain disorders. Its electrophysiological correlate is "wind-up," in which dorsal horn spinal neurons increase their response to repeated nociceptor stimulation. To understand the genetic basis of temporal summation, we undertook a GWAS of wind-up in healthy human volunteers and found significant association with SLC8A3 encoding sodium-calcium exchanger type 3 (NCX3). NCX3 was expressed in mouse dorsal horn neurons, and mice lacking NCX3 showed normal, acute pain but hypersensitivity to the second phase of the formalin test and chronic constriction injury. Dorsal horn neurons lacking NCX3 showed increased intracellular calcium following repetitive stimulation, slowed calcium clearance, and increased wind-up. Moreover, virally mediated enhanced spinal expression of NCX3 reduced central sensitization. Our study highlights Ca2+ efflux as a pathway underlying temporal summation and persistent pain, which may be amenable to therapeutic targeting.
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Affiliation(s)
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, UK; Department of Genetics, Evolution and Environment, University College London, London, UK; Department of Cell and Developmental Biology, University College London, London, UK
| | - Annina B Schmid
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Ryan Patel
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK
| | - Erika Polgár
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | - Kim I Chisholm
- Wolfson Centre for Age-Related Diseases, King's College London, London, UK
| | - Steven J Middleton
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Kieran Boyle
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | - Allen C Dickie
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | | | | | - Andrew M Bell
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | | | - Samar Khoury
- McGill University and Genome Quebec Innovation Centre, Montreal, QC, Canada
| | - Aleksandar Ivanov
- Department of Physiology Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Hendrik Wildner
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Eleanor Ferris
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Juan-Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment, University College London, London, UK; Centre for Palaeogenetics, Stockholm, Sweden; Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Sophie Sokolow
- Laboratoire de Pharmacodynamie et de Thérapeutique Faculté de Médecine Université Libre de Bruxelles, Brussels, Belgium; School of Nursing, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - André Herchuelz
- Laboratoire de Pharmacodynamie et de Thérapeutique Faculté de Médecine Université Libre de Bruxelles, Brussels, Belgium
| | - Pierre Faux
- CNRS, EFS, ADES, Aix-Marseille Université, Marseille, France
| | - Giovanni Poletti
- Unidad de Neurobiologia Molecular y Genética, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Carla Gallo
- Unidad de Neurobiologia Molecular y Genética, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellin, Colombia
| | - Hanns Ulrich Zeilhofer
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland; Institute of Pharmaceutical Sciences, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland
| | - Luda Diatchenko
- McGill University and Genome Quebec Innovation Centre, Montreal, QC, Canada
| | - Stephen B McMahon
- Wolfson Centre for Age-Related Diseases, King's College London, London, UK
| | - Andrew J Todd
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | - Anthony H Dickenson
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK
| | - Andres Ruiz-Linares
- Department of Genetics, Evolution and Environment, University College London, London, UK; CNRS, EFS, ADES, Aix-Marseille Université, Marseille, France; Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
| | - David L Bennett
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK.
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34
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Wang P, Sun X, Miao Q, Mi H, Cao M, Zhao S, Wang Y, Shu Y, Li W, Xu H, Bai D, Zhang Y. Novel genetic associations with five aesthetic facial traits: A genome-wide association study in the Chinese population. Front Genet 2022; 13:967684. [PMID: 36035146 PMCID: PMC9411802 DOI: 10.3389/fgene.2022.967684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 06/27/2022] [Indexed: 11/17/2022] Open
Abstract
Background: The aesthetic facial traits are closely related to life quality and strongly influenced by genetic factors, but the genetic predispositions in the Chinese population remain poorly understood. Methods: A genome-wide association studies (GWAS) and subsequent validations were performed in 26,806 Chinese on five facial traits: widow’s peak, unibrow, double eyelid, earlobe attachment, and freckles. Functional annotation was performed based on the expression quantitative trait loci (eQTL) variants, genome-wide polygenic scores (GPSs) were developed to represent the combined polygenic effects, and single nucleotide polymorphism (SNP) heritability was presented to evaluate the contributions of the variants. Results: In total, 21 genetic associations were identified, of which ten were novel: GMDS-AS1 (rs4959669, p = 1.29 × 10−49) and SPRED2 (rs13423753, p = 2.99 × 10−14) for widow’s peak, a previously unreported trait; FARSB (rs36015125, p = 1.96 × 10−21) for unibrow; KIF26B (rs7549180, p = 2.41 × 10−15), CASC2 (rs79852633, p = 4.78 × 10−11), RPGRIP1L (rs6499632, p = 9.15 × 10−11), and PAX1 (rs147581439, p = 3.07 × 10−8) for double eyelid; ZFHX3 (rs74030209, p = 9.77 × 10−14) and LINC01107 (rs10211400, p = 6.25 × 10−10) for earlobe attachment; and SPATA33 (rs35415928, p = 1.08 × 10−8) for freckles. Functionally, seven identified SNPs tag the missense variants and six may function as eQTLs. The combined polygenic effect of the associations was represented by GPSs and contributions of the variants were evaluated using SNP heritability. Conclusion: These identifications may facilitate a better understanding of the genetic basis of features in the Chinese population and hopefully inspire further genetic research on facial development.
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Affiliation(s)
- Peiqi Wang
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xinghan Sun
- Genomic & Phenomic Data Center, Chengdu 23Mofang Biotechnology Co., Ltd, Chengdu, China
- Department of Biobank, Chengdu 23Mofang Biotechnology Co., Ltd, Chengdu, China
| | - Qiang Miao
- Department of Laboratory Medicine/Research Center of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Hao Mi
- Department of Biobank, Chengdu 23Mofang Biotechnology Co., Ltd, Chengdu, China
| | - Minyuan Cao
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Shan Zhao
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yiyi Wang
- Department of Dermatology, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yang Shu
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Li
- Department of Dermatology, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, China
| | - Heng Xu
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Department of Laboratory Medicine/Research Center of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Ding Bai
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- *Correspondence: Ding Bai, ; Yan Zhang,
| | - Yan Zhang
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- State Key Laboratory of Biotherapy, Department of Thoracic Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Ding Bai, ; Yan Zhang,
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Yair S, Coop G. Population differentiation of polygenic score predictions under stabilizing selection. Philos Trans R Soc Lond B Biol Sci 2022; 377:20200416. [PMID: 35430887 PMCID: PMC9014188 DOI: 10.1098/rstb.2020.0416] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 03/08/2022] [Indexed: 12/15/2022] Open
Abstract
Given the many small-effect loci uncovered by genome-wide association studies (GWAS), polygenic scores have become central to genomic medicine, and have found application in diverse settings including evolutionary studies of adaptation. Despite their promise, polygenic scores have been found to suffer from limited portability across human populations. This at first seems in conflict with the observation that most common genetic variation is shared among populations. We investigate one potential cause of this discrepancy: stabilizing selection on complex traits. Counterintuitively, while stabilizing selection constrains phenotypic evolution, it accelerates the loss and fixation of alleles underlying trait variation within populations (GWAS loci). Thus even when populations share an optimum phenotype, stabilizing selection erodes the variance contributed by their shared GWAS loci, such that predictions from GWAS in one population explain less of the phenotypic variation in another. We develop theory to quantify how stabilizing selection is expected to reduce the prediction accuracy of polygenic scores in populations not represented in GWAS samples. In addition, we find that polygenic scores can substantially overstate average genetic differences of phenotypes among populations. We emphasize stabilizing selection around a common optimum as a useful null model to connect patterns of allele frequency and polygenic score differentiation. This article is part of the theme issue 'Celebrating 50 years since Lewontin's apportionment of human diversity'.
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Affiliation(s)
- Sivan Yair
- Center for Population Biology and Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
| | - Graham Coop
- Center for Population Biology and Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
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Simcoe MJ, Shah A, Fan B, Choquet H, Weisschuh N, Waseem NH, Jiang C, Melles RB, Ritch R, Mahroo OA, Wissinger B, Jorgenson E, Wiggs JL, Garway-Heath DF, Hysi PG, Hammond CJ. Genome-Wide Association Study Identifies Two Common Loci Associated with Pigment Dispersion Syndrome/Pigmentary Glaucoma and Implicates Myopia in its Development. Ophthalmology 2022; 129:626-636. [PMID: 35031440 DOI: 10.1016/j.ophtha.2022.01.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 01/03/2022] [Accepted: 01/05/2022] [Indexed: 11/27/2022] Open
Abstract
PURPOSE To identify genetic variants associated with pigment dispersion syndrome (PDS) and pigmentary glaucoma (PG) in unrelated patients and to further understand the genetic and potentially causal relationships between PDS and associated risk factors. DESIGN A 2-stage genome-wide association meta-analysis with replication and subsequent in silico analyses including Mendelian randomization. PARTICIPANTS A total of 574 cases with PG or PDS and 52 627 controls of European descent. METHODS Genome-wide association analyses were performed in 4 cohorts and meta-analyzed in 3 stages: (1) a discovery meta-analysis was performed in 3 cohorts, (2) replication was performed in the fourth cohort, and (3) all 4 cohorts were meta-analyzed to increase statistical power. Two-sample Mendelian randomization was used to determine whether refractive error and intraocular pressure exert causal effects over PDS. MAIN OUTCOME MEASURES The association of genetic variants with PDS and whether myopia exerts causal effects over PDS. RESULTS Significant association was present at 2 novel loci for PDS/PG. These loci and follow-up analyses implicate the genes gamma secretase activator protein (GSAP) (lead single nucleotide polymorphism [SNP]: rs9641220, P = 6.0×10-10) and glutamate metabotropic receptor 5 (GRM5)/TYR (lead SNP: rs661177, P = 3.9×10-9) as important factors in disease risk. Mendelian randomization showed significant evidence that negative refractive error (myopia) exerts a direct causal effect over PDS (P = 8.86×10-7). CONCLUSIONS Common SNPs relating to the GSAP and GRM5/TYR genes are associated risk factors for the development of PDS and PG. Although myopia is a known risk factor, this study uses genetic data to demonstrate that myopia is, in part, a cause of PDS and PG.
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Affiliation(s)
- Mark J Simcoe
- Department of Ophthalmology, Kings College London, London, United Kingdom; Department of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom
| | - Ameet Shah
- Department of Ophthalmology, Royal Free Hospital NHS Foundation Trust, Pond Street, London, United Kingdom
| | - Baojian Fan
- Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Nicole Weisschuh
- Institute for Ophthalmic Research, Centre for Ophthalmology, University of Tübingen, Tübingen, Germany
| | - Naushin H Waseem
- Institute of Ophthalmology, University College London, London, United Kingdom
| | - Chen Jiang
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Ronald B Melles
- Kaiser Permanente Northern California, Department of Ophthalmology, Redwood City, California
| | - Robert Ritch
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - Omar A Mahroo
- Department of Ophthalmology, Kings College London, London, United Kingdom; Department of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom
| | - Bernd Wissinger
- Institute for Ophthalmic Research, Centre for Ophthalmology, University of Tübingen, Tübingen, Germany
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Janey L Wiggs
- Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts
| | - David F Garway-Heath
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Pirro G Hysi
- Department of Ophthalmology, Kings College London, London, United Kingdom; Department of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom
| | - Christopher J Hammond
- Department of Ophthalmology, Kings College London, London, United Kingdom; Department of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom.
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Okuno R, Inoue Y, Hasebe Y, Igarashi T, Kawagishi-Hotta M, Yamada T, Hasegawa S. Genome-wide association studies in Japanese women identified genetic loci associated with wrinkles and sagging. Exp Dermatol 2022; 31:1411-1420. [PMID: 35587111 DOI: 10.1111/exd.14612] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 05/13/2022] [Accepted: 05/16/2022] [Indexed: 11/29/2022]
Abstract
Wrinkles and sagging are caused by various factors, such as ultraviolet rays; however, recent findings demonstrated that some individuals are genetically predisposed to these phenotypes of skin aging. The contribution of single nucleotide polymorphisms (SNPs) to the development of wrinkles and sagging has been demonstrated in genome-wide association studies (GWAS). However, these findings were mainly obtained from European and Chinese populations. Limited information is currently available on the involvement of SNPs in the development of wrinkles and sagging in a Japanese population. Therefore, we herein performed GWAS on wrinkles at the outer corners of the eyes and nasolabial folds in 1041 Japanese women. The results obtained revealed that 5 SNPs (19p13.2: rs2303098 (p = 3.39×10-8 ), rs56391955 (p = 3.39×10-8 ), rs67560822 (p = 3.50×10-8 ), rs889126 (p = 3.78×10-8 ), rs57490083 (p = 3.99×10-8 )) located within the COL5A3 gene associated with wrinkles at the outer corners of the eyes. Regarding nasolabial folds, 8q24.11 (rs4876369; p = 1.05×10-7 , rs6980503; p = 1.25×10-7 , rs61027543; p = 1.25×10-7 , rs16889363; p = 1.38×10-7 ) was suggested to be associated with RAD21 gene expression. These SNPs have not been reported in other populations, and were first found in Japanese women population. These SNPs may be used as markers to examine the genetic predisposition of individuals to wrinkles and sagging.
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Affiliation(s)
- Ryosuke Okuno
- Research Laboratories, Nippon Menard Cosmetic Co., Ltd., Nagoya, Aichi, Japan.,Nagoya University-MENARD Collaborative Research Chair, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yu Inoue
- Research Laboratories, Nippon Menard Cosmetic Co., Ltd., Nagoya, Aichi, Japan.,Nagoya University-MENARD Collaborative Research Chair, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yuichi Hasebe
- Research Laboratories, Nippon Menard Cosmetic Co., Ltd., Nagoya, Aichi, Japan.,Nagoya University-MENARD Collaborative Research Chair, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Toshio Igarashi
- Research Laboratories, Nippon Menard Cosmetic Co., Ltd., Nagoya, Aichi, Japan
| | - Mika Kawagishi-Hotta
- Research Laboratories, Nippon Menard Cosmetic Co., Ltd., Nagoya, Aichi, Japan.,Nagoya University-MENARD Collaborative Research Chair, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Takaaki Yamada
- Research Laboratories, Nippon Menard Cosmetic Co., Ltd., Nagoya, Aichi, Japan
| | - Seiji Hasegawa
- Research Laboratories, Nippon Menard Cosmetic Co., Ltd., Nagoya, Aichi, Japan.,Nagoya University-MENARD Collaborative Research Chair, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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Investigating the genetic architecture of eye colour in a Canadian cohort. iScience 2022; 25:104485. [PMID: 35712076 PMCID: PMC9194134 DOI: 10.1016/j.isci.2022.104485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 04/18/2022] [Accepted: 05/24/2022] [Indexed: 11/24/2022] Open
Abstract
Eye color is highly variable in populations with European ancestry, ranging from low to high quantities of melanin in the iris. Polymorphisms in the HERC2/OCA2 locus have the largest effect on eye color in these populations, although other genomic regions also influence eye color. We performed genome-wide association studies of eye color in a Canadian cohort of European ancestry (N = 5,641) and investigated candidate causal variants. We uncovered several candidate causal signals in the HERC2/OCA2 region, whereas other loci likely harbor a single causal signal. We observed colocalization of eye color signals with the expression or methylation profiles of cultured primary melanocytes. Genetic correlations of eye and hair color suggest high genome-wide pleiotropy, but locus-level differences in the genetic architecture of both traits. Overall, we provide a better picture of the polymorphisms underpinning eye color variation, which may be a consequence of specific molecular processes in the iris melanocytes. Genome-wide association studies of eye color in 5,641 participants Multiple independent candidate causal variants were identified across HERC2/OCA2 Single candidate causal variants observed on or near IRF4, SLC24A4, TYR, and TYRP1 Colocalization of eye color signals with expression and methylation profiles
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Neitzke-Montinelli V, da Silva Figueiredo Celestino Gomes P, Pascutti PG, Moura-Neto RS, Silva R. Genetic diversity of the melanocortin-1 receptor in an admixed population of Rio de Janeiro: Structural and functional impacts of Cys35Tyr variant. PLoS One 2022; 17:e0267286. [PMID: 35452484 PMCID: PMC9032367 DOI: 10.1371/journal.pone.0267286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 04/05/2022] [Indexed: 12/04/2022] Open
Abstract
The melanocortin-1 receptor (MC1R) is one of the key proteins involved in the regulation of melanin production and several polymorphisms have been associated with different phenotypes of skin and hair color in human and nonhuman species. Most of the knowledge is centered on more homogeneous populations and studies involving an admixed group of people should be encouraged due to the great importance of understanding the human color variation. This work evaluates the MC1R diversity and the possible impacts of MC1R variants in an admixed sample population of Rio de Janeiro, Brazil, which is a product of Native American, African, and European miscegenation. Sequencing of complete coding region and part of the 3´UTR of MC1R gene identified 31 variants including one insertion and three novel synonymous substitutions in sample population grouped according to skin, hair and eye pigmentation levels. In nonmetric multidimensional scaling analysis (NMDS), three main clusters were identified, in which the Brazilian dark skin group remained in the African cluster whereas the intermediate and the light skin color phenotype in the European one. None gathered with Asians since their immigration to Brazil was a recent event. In silico analyses demonstrated that Cys35Tyr, Ile155Thr and Pro256Ser, found in our population, have a negative effect on receptor function probably due to changes on the receptor structure. Notably, Cys35Tyr mutation could potentially impair agonist binding. Altogether, this work contributes to the understanding of the genetic background of color variation on an admixed population and gives insights into the damaging effects of MC1R variants.
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Affiliation(s)
- Vanessa Neitzke-Montinelli
- Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Pedro G. Pascutti
- Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rodrigo S. Moura-Neto
- Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rosane Silva
- Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- * E-mail:
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Dabas P, Jain S, Khajuria H, Nayak BP. Forensic DNA phenotyping: Inferring phenotypic traits from crime scene DNA. J Forensic Leg Med 2022; 88:102351. [DOI: 10.1016/j.jflm.2022.102351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 03/01/2022] [Accepted: 04/04/2022] [Indexed: 10/18/2022]
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Li B, Kamarck ML, Peng Q, Lim FL, Keller A, Smeets MAM, Mainland JD, Wang S. From musk to body odor: Decoding olfaction through genetic variation. PLoS Genet 2022; 18:e1009564. [PMID: 35113854 PMCID: PMC8812863 DOI: 10.1371/journal.pgen.1009564] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 12/01/2021] [Indexed: 12/30/2022] Open
Abstract
The olfactory system combines input from multiple receptor types to represent odor information, but there are few explicit examples relating olfactory receptor (OR) activity patterns to odor perception. To uncover these relationships, we performed genome-wide scans on odor-perception phenotypes for ten odors in 1000 Han Chinese and validated results for six of these odors in an ethnically diverse population (n = 364). In both populations, consistent with previous studies, we replicated three previously reported associations (β-ionone/OR5A1, androstenone/OR7D4, cis-3-hexen-1-ol/OR2J3 LD-band), but not for odors containing aldehydes, suggesting that olfactory phenotype/genotype studies are robust across populations. Two novel associations between an OR and odor perception contribute to our understanding of olfactory coding. First, we found a SNP in OR51B2 that associated with trans-3-methyl-2-hexenoic acid, a key component of human underarm odor. Second, we found two linked SNPs associated with the musk Galaxolide in a novel musk receptor, OR4D6, which is also the first human OR shown to drive specific anosmia to a musk compound. We noticed that SNPs detected for odor intensity were enriched with amino acid substitutions, implying functional changes of odor receptors. Furthermore, we also found that the derived alleles of the SNPs tend to be associated with reduced odor intensity, supporting the hypothesis that the primate olfactory gene repertoire has degenerated over time. This study provides information about coding for human body odor, and gives us insight into broader mechanisms of olfactory coding, such as how differential OR activation can converge on a similar percept.
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Affiliation(s)
- Bingjie Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Department of Skin and Cosmetics Research, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Marissa L. Kamarck
- Monell Chemical Senses Center, Philadelphia, Pennsylvania, United States of America
- Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Qianqian Peng
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Fei-Ling Lim
- Unilever Research & Development, Colworth, United Kingdom
| | - Andreas Keller
- Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, New York State, United States of America
| | | | - Joel D. Mainland
- Monell Chemical Senses Center, Philadelphia, Pennsylvania, United States of America
- Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
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Joerin-Luque IA, Augusto DG, Calonga-Solís V, de Almeida RC, Lopes CVG, Petzl-Erler ML, Beltrame MH. Uniparental markers reveal new insights on subcontinental ancestry and sex-biased admixture in Brazil. Mol Genet Genomics 2022; 297:419-435. [DOI: 10.1007/s00438-022-01857-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 01/04/2022] [Indexed: 10/19/2022]
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43
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Gupta L, Balakrishnan A, Mehta P, Sen P, Gupta V. Autoinflammation and autoimmunity: More to what meets the eye. INDIAN JOURNAL OF RHEUMATOLOGY 2022. [DOI: 10.4103/injr.injr_76_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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44
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Venkataraman GR, DeBoever C, Tanigawa Y, Aguirre M, Ioannidis AG, Mostafavi H, Spencer CCA, Poterba T, Bustamante CD, Daly MJ, Pirinen M, Rivas MA. Bayesian model comparison for rare-variant association studies. Am J Hum Genet 2021; 108:2354-2367. [PMID: 34822764 PMCID: PMC8715195 DOI: 10.1016/j.ajhg.2021.11.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 11/02/2021] [Indexed: 12/12/2022] Open
Abstract
Whole-genome sequencing studies applied to large populations or biobanks with extensive phenotyping raise new analytic challenges. The need to consider many variants at a locus or group of genes simultaneously and the potential to study many correlated phenotypes with shared genetic architecture provide opportunities for discovery not addressed by the traditional one variant, one phenotype association study. Here, we introduce a Bayesian model comparison approach called MRP (multiple rare variants and phenotypes) for rare-variant association studies that considers correlation, scale, and direction of genetic effects across a group of genetic variants, phenotypes, and studies, requiring only summary statistic data. We apply our method to exome sequencing data (n = 184,698) across 2,019 traits from the UK Biobank, aggregating signals in genes. MRP demonstrates an ability to recover signals such as associations between PCSK9 and LDL cholesterol levels. We additionally find MRP effective in conducting meta-analyses in exome data. Non-biomarker findings include associations between MC1R and red hair color and skin color, IL17RA and monocyte count, and IQGAP2 and mean platelet volume. Finally, we apply MRP in a multi-phenotype setting; after clustering the 35 biomarker phenotypes based on genetic correlation estimates, we find that joint analysis of these phenotypes results in substantial power gains for gene-trait associations, such as in TNFRSF13B in one of the clusters containing diabetes- and lipid-related traits. Overall, we show that the MRP model comparison approach improves upon useful features from widely used meta-analysis approaches for rare-variant association analyses and prioritizes protective modifiers of disease risk.
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Affiliation(s)
| | - Christopher DeBoever
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Yosuke Tanigawa
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Matthew Aguirre
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | | | | | - Timothy Poterba
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Carlos D Bustamante
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Mark J Daly
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Matti Pirinen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki 00014, Finland; Department of Public Health, University of Helsinki, Helsinki 00014, Finland; Department of Mathematics and Statistics, University of Helsinki, Helsinki 00014, Finland.
| | - Manuel A Rivas
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
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Brancalion L, Haase B, Wade CM. Canine coat pigmentation genetics: a review. Anim Genet 2021; 53:3-34. [PMID: 34751460 DOI: 10.1111/age.13154] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 09/21/2021] [Accepted: 10/20/2021] [Indexed: 11/27/2022]
Abstract
Our understanding of canine coat colour genetics and the associated health implications is developing rapidly. To date, there are 15 genes with known roles in canine coat colour phenotypes. Many coat phenotypes result from complex and/or epistatic genetic interactions among variants within and between loci, some of which remain unidentified. Some genes involved in canine pigmentation have been linked to aural, visual and neurological impairments. Consequently, coat pigmentation in the domestic dog retains considerable ethical and economic interest. In this paper we discuss coat colour phenotypes in the domestic dog, the genes and variants responsible for these phenotypes and any proven coat colour-associated health effects.
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Affiliation(s)
- L Brancalion
- Faculty of Science, School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
| | - B Haase
- Faculty of Science, School of Veterinary Science, University of Sydney, Camperdown, NSW, 2006, Australia
| | - C M Wade
- Faculty of Science, School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
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A large Canadian cohort provides insights into the genetic architecture of human hair colour. Commun Biol 2021; 4:1253. [PMID: 34737440 PMCID: PMC8568909 DOI: 10.1038/s42003-021-02764-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 10/08/2021] [Indexed: 12/05/2022] Open
Abstract
Hair colour is a polygenic phenotype that results from differences in the amount and ratio of melanins located in the hair bulb. Genome-wide association studies (GWAS) have identified many loci involved in the pigmentation pathway affecting hair colour. However, most of the associated loci overlap non-protein coding regions and many of the molecular mechanisms underlying pigmentation variation are still not understood. Here, we conduct GWAS meta-analyses of hair colour in a Canadian cohort of 12,741 individuals of European ancestry. By performing fine-mapping analyses we identify candidate causal variants in pigmentation loci associated with blonde, red and brown hair colour. Additionally, we observe colocalization of several GWAS hits with expression and methylation quantitative trait loci (QTLs) of cultured melanocytes. Finally, transcriptome-wide association studies (TWAS) further nominate the expression of EDNRB and CDK10 as significantly associated with hair colour. Our results provide insights on the mechanisms regulating pigmentation biology in humans.
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Le L, Sirés-Campos J, Raposo G, Delevoye C, Marks MS. Melanosome Biogenesis in the Pigmentation of Mammalian Skin. Integr Comp Biol 2021; 61:1517-1545. [PMID: 34021746 PMCID: PMC8516112 DOI: 10.1093/icb/icab078] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Melanins, the main pigments of the skin and hair in mammals, are synthesized within membrane-bound organelles of melanocytes called melanosomes. Melanosome structure and function are determined by a cohort of resident transmembrane proteins, many of which are expressed only in pigment cells and localize specifically to melanosomes. Defects in the genes that encode melanosome-specific proteins or components of the machinery required for their transport in and out of melanosomes underlie various forms of ocular or oculocutaneous albinism, characterized by hypopigmentation of the hair, skin, and eyes and by visual impairment. We review major components of melanosomes, including the enzymes that catalyze steps in melanin synthesis from tyrosine precursors, solute transporters that allow these enzymes to function, and structural proteins that underlie melanosome shape and melanin deposition. We then review the molecular mechanisms by which these components are biosynthetically delivered to newly forming melanosomes-many of which are shared by other cell types that generate cell type-specific lysosome-related organelles. We also highlight unanswered questions that need to be addressed by future investigation.
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Affiliation(s)
- Linh Le
- Department of Pathology & Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology & Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Cell and Molecular Biology Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Julia Sirés-Campos
- Institut Curie, PSL Research University, CNRS, UMR 144, Structure and Membrane Compartments, Paris, 75005, France
| | - Graça Raposo
- Institut Curie, PSL Research University, CNRS, UMR 144, Structure and Membrane Compartments, Paris, 75005, France
| | - Cédric Delevoye
- Institut Curie, PSL Research University, CNRS, UMR 144, Structure and Membrane Compartments, Paris, 75005, France
| | - Michael S Marks
- Department of Pathology & Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology & Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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GWAS Identifies Multiple Genetic Loci for Skin Color in Korean Women. J Invest Dermatol 2021; 142:1077-1084. [PMID: 34648798 DOI: 10.1016/j.jid.2021.08.440] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 08/11/2021] [Accepted: 08/13/2021] [Indexed: 12/29/2022]
Abstract
Human skin color is largely determined by genetic factors. Recent GWASs have reported several genetic variants associated with skin color, mostly in European and African populations. In this study, we performed GWAS in 17,019 Korean women to identify genetic variants associated with facial skin color, quantitatively measured as CIELAB color index. We identified variants in three, one, and six genomic loci associated with facial skin color index L∗, a∗, and b∗ values, respectively, and replicated the associations (combined analysis P-value < 5.0 × 10-8). The significant loci included variants in known genes (OCA2 rs74653330, BNC2 rs16935073, rs72620727 near KITLG, and SLC6A17 rs6689641) and to our knowledge previously unreported genes (SCARB1 rs10846744, SYN2 rs12629034, and LINC00486 rs6543678). This is GWAS to elucidate genetic variants of facial skin color in a Korean female population. Further functional characterizations of the investigated genes are warranted to elucidate their contribution to skin pigmentation-related traits.
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Ko H, Kim S, Kim K, Jung SH, Shim I, Cha S, Lee H, Kim B, Yoon J, Ha TH, Kwak S, Kang JM, Lee JY, Kim J, Park WY, Nho K, Kim DK, Myung W, Won HH. Genome-wide association study of occupational attainment as a proxy for cognitive reserve. Brain 2021; 145:1436-1448. [PMID: 34613391 DOI: 10.1093/brain/awab351] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 07/22/2021] [Accepted: 08/16/2021] [Indexed: 11/13/2022] Open
Abstract
Occupational attainment, which represents middle-age cognitive activities, is a known proxy marker of cognitive reserve for Alzheimer's disease. Previous genome-wide association studies (GWAS) have identified numerous genetic variants and revealed the genetic architecture of educational attainment, another marker of cognitive reserve. However, the genetic architecture and heritability for occupational attainment remain elusive. We performed a large-scale GWAS of occupational attainment with 248,847 European individuals from the UK Biobank using the proportional odds logistic mixed model method. In this analysis, we defined occupational attainment using the classified job levels formulated in the UK Standard Occupational Classification system considering the individual professional skill and academic level. We identified 30 significant loci (P < 5 × 10-8); 12 were novel variants, unassociated with other traits. Among them, four lead variants were associated with genes expressed in brain tissues by expression quantitative trait loci mapping from 10 brain regions: rs13002946, rs3741368, rs11654986, and rs1627527. The single nucleotide polymorphism (SNP)-based heritability was estimated to be 8.5% (s.e. = 0.004) and partitioned heritability was enriched in the central nervous system and brain tissues. Genetic correlation analysis showed shared genetic backgrounds between occupational attainment and multiple traits, including education, intelligence, leisure activities, life satisfaction, and neuropsychiatric disorders. In two-sample Mendelian randomization (MR) analysis, we demonstrated that high occupation levels were associated with reduced risk for Alzheimer's disease (OR = 0.78, 95% CI = 0.65-0.92 in inverse variance weighted (IVW) method; OR = 0.73, 95% CI = 0.57-0.92 in the weighted median (WM) method). This causal relationship between occupational attainment and Alzheimer's disease was robust in additional sensitivity analysis that excluded potentially pleiotropic SNPs (OR = 0.72, 95% CI = 0.57-0.91 in the IVW method; OR = 0.72, 95% CI = 0.53-0.97 in the WM method). Multivariable MR confirmed that occupational attainment had an independent effect on the risk for Alzheimer's disease even after taking educational attainment into account (OR = 0.72, 95% CI = 0.54-0.95 in the IVW method; OR = 0.68, 95% CI = 0.48-0.97 in the WM method). Overall, our analyses provide insights into the genetic architecture of occupational attainment and demonstrate that occupational attainment is a potential causal protective factor for Alzheimer's disease as a proxy marker of cognitive reserve.
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Affiliation(s)
- Hyunwoong Ko
- Interdisciplinary Program in Cognitive Science, Seoul National University, Seoul, South Korea.,Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea.,Dental Research Institute, Seoul National University School of Dentistry, Seoul, South Korea
| | - Soyeon Kim
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.,Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kiwon Kim
- Department of Psychiatry, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Sang-Hyuk Jung
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Injeong Shim
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Soojin Cha
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Hyewon Lee
- Department of Health Administration and Management, College of Medical Sciences, Soonchunhyang University, Asan, South Korea
| | - Beomsu Kim
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Joohyun Yoon
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Tae Hyon Ha
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Seyul Kwak
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea
| | - Jae Myeong Kang
- Department of Psychiatry, Gil Medical Center, Gachon University, Incheon, South Korea
| | - Jun-Young Lee
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea
| | - Jinho Kim
- Precision Medicine Center, Future Innovation Research Division, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Kwangsik Nho
- Department of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Doh Kwan Kim
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.,Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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A Genome-Wide Scan on Individual Typology Angle Found Variants at SLC24A2 Associated with Skin Color Variation in Chinese Populations. J Invest Dermatol 2021; 142:1223-1227.e14. [PMID: 34570997 DOI: 10.1016/j.jid.2021.07.186] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 07/01/2021] [Accepted: 07/09/2021] [Indexed: 11/21/2022]
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