1
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Haycock PC, Borges MC, Burrows K, Lemaitre RN, Harrison S, Burgess S, Chang X, Westra J, Khankari NK, Tsilidis KK, Gaunt T, Hemani G, Zheng J, Truong T, O’Mara TA, Spurdle AB, Law MH, Slager SL, Birmann BM, Saberi Hosnijeh F, Mariosa D, Amos CI, Hung RJ, Zheng W, Gunter MJ, Davey Smith G, Relton C, Martin RM. Design and quality control of large-scale two-sample Mendelian randomization studies. Int J Epidemiol 2023; 52:1498-1521. [PMID: 38587501 PMCID: PMC10555669 DOI: 10.1093/ije/dyad018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 02/10/2023] [Indexed: 03/27/2024] Open
Abstract
Background Mendelian randomization (MR) studies are susceptible to metadata errors (e.g. incorrect specification of the effect allele column) and other analytical issues that can introduce substantial bias into analyses. We developed a quality control (QC) pipeline for the Fatty Acids in Cancer Mendelian Randomization Collaboration (FAMRC) that can be used to identify and correct for such errors. Methods We collated summary association statistics from fatty acid and cancer genome-wide association studies (GWAS) and subjected the collated data to a comprehensive QC pipeline. We identified metadata errors through comparison of study-specific statistics to external reference data sets (the National Human Genome Research Institute-European Bioinformatics Institute GWAS catalogue and 1000 genome super populations) and other analytical issues through comparison of reported to expected genetic effect sizes. Comparisons were based on three sets of genetic variants: (i) GWAS hits for fatty acids, (ii) GWAS hits for cancer and (iii) a 1000 genomes reference set. Results We collated summary data from 6 fatty acid and 54 cancer GWAS. Metadata errors and analytical issues with the potential to introduce substantial bias were identified in seven studies (11.6%). After resolving metadata errors and analytical issues, we created a data set of 219 842 genetic associations with 90 cancer types, generated in analyses of 566 665 cancer cases and 1 622 374 controls. Conclusions In this large MR collaboration, 11.6% of included studies were affected by a substantial metadata error or analytical issue. By increasing the integrity of collated summary data prior to their analysis, our protocol can be used to increase the reliability of downstream MR analyses. Our pipeline is available to other researchers via the CheckSumStats package (https://github.com/MRCIEU/CheckSumStats).
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Affiliation(s)
- Philip C Haycock
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kimberley Burrows
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Sean Harrison
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Xuling Chang
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat—National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Jason Westra
- Department of Mathematics, Statistics, and Computer Science, Dordt College, Sioux Center, IA, USA
| | - Nikhil K Khankari
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kostas K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Tom Gaunt
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jie Zheng
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Therese Truong
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Team “Exposome, Heredity, Cancer and Health”, CESP, Villejuif, France
| | - Tracy A O’Mara
- Genetics and Computational Biology Division, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Medicine, Faculty of Health Sciences, University of Queensland, Brisbane, Australia
| | - Amanda B Spurdle
- Genetics and Computational Biology Division, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Medicine, Faculty of Health Sciences, University of Queensland, Brisbane, Australia
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Daniela Mariosa
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC), Lyon, France
| | - Christopher I Amos
- Dan L Duncan Comprehensive Cancer Center Baylor College of Medicine, Houston, USA
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health and University of Toronto, Toronto, Canada
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Caroline Relton
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Richard M Martin
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
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2
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Farré X, Blay N, Cortés B, Carreras A, Iraola-Guzmán S, de Cid R. Skin Phototype and Disease: A Comprehensive Genetic Approach to Pigmentary Traits Pleiotropy Using PRS in the GCAT Cohort. Genes (Basel) 2023; 14:149. [PMID: 36672889 PMCID: PMC9859115 DOI: 10.3390/genes14010149] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/22/2022] [Accepted: 12/26/2022] [Indexed: 01/09/2023] Open
Abstract
Human pigmentation has largely been associated with different disease prevalence among populations, but most of these studies are observational and inconclusive. Known to be genetically determined, pigmentary traits have largely been studied by Genome-Wide Association Study (GWAS), mostly in Caucasian ancestry cohorts from North Europe, identifying robustly, several loci involved in many of the pigmentary traits. Here, we conduct a detailed analysis by GWAS and Polygenic Risk Score (PRS) of 13 pigmentary-related traits in a South European cohort of Caucasian ancestry (n = 20,000). We observed fair phototype strongly associated with non-melanoma skin cancer and other dermatoses and confirmed by PRS-approach the shared genetic basis with skin and eye diseases, such as melanoma (OR = 0.95), non-melanoma skin cancer (OR = 0.93), basal cell carcinoma (OR = 0.97) and darker phototype with vitiligo (OR = 1.02), cataracts (OR = 1.04). Detailed genetic analyses revealed 37 risk loci associated with 10 out of 13 analyzed traits, and 16 genes significantly associated with at least two pigmentary traits. Some of them have been widely reported, such as MC1R, HERC2, OCA2, TYR, TYRP1, SLC45A2, and some novel candidate genes C1QTNF3, LINC02876, and C1QTNF3-AMACR have not been reported in the GWAS Catalog, with regulatory potential. These results highlight the importance of the assess phototype as a genetic proxy of skin functionality and disease when evaluating open mixed populations.
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Affiliation(s)
| | | | | | | | | | - Rafael de Cid
- Genomes for Life-GCAT Lab, Germans Trias i Pujol Research Institute (IGTP), 08916 Badalona, Spain
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3
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Cho SI, Lee H, Cho S. Risk of Skin Cancer and Actinic Keratosis in Patients with Rosacea: A Nationwide Population-based Cohort Study. Acta Derm Venereol 2022; 102:adv00803. [PMID: 36250731 PMCID: PMC9677253 DOI: 10.2340/actadv.v102.2563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
The association between rosacea and skin cancer remains inconclusive, with conflicting reports. The aim of this nationwide population-based cohort study was to determine the risk of skin cancer in patients with rosacea. A rosacea cohort (n = 11,420) was formulated and evaluated from 2010 to 2019. The incidence rate ratios of actinic keratosis, cutaneous melanoma, keratinocyte carcinoma and gastric, colorectal, and liver cancer were analysed in comparison with a matched control group, and multivariable stratified Cox proportional hazards model analysis was performed. The risk of actinic keratosis and keratinocyte carcinoma was increased in the rosacea group compared with the control group, with adjusted hazard ratios of 6.05 (95% confidence interval 3.63–10.09) and 2.66 (1.53–4.61), respectively. The risk of cutaneous melanoma and gastric, colorectal and liver cancer was not increased, with adjusted hazard ratios of 1.69 (0.25–11.37), 0.81 (0.59–1.10), 0.91 (0.69–1.18) and 1.32 (0.89–1.95), respectively. These results reveal an increased risk of actinic keratosis and keratinocyte carcinoma in patients with rosacea.
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Affiliation(s)
- Soo Ick Cho
- Department of Dermatology, Seoul National University College of Medicine, Seoul, Korea
| | - Hanjae Lee
- Department of Dermatology, Seoul National University College of Medicine, Seoul, Korea
| | - Soyun Cho
- Department of Dermatology, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, 20 Boramae Road 5-gil. Dongjak-gu, Seoul 07061, Korea.
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4
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Markiewicz E, Idowu OC. Evaluation of Personalized Skincare Through in-silico Gene Interactive Networks and Cellular Responses to UVR and Oxidative Stress. Clin Cosmet Investig Dermatol 2022; 15:2221-2243. [PMID: 36284733 PMCID: PMC9588296 DOI: 10.2147/ccid.s383790] [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: 07/26/2022] [Accepted: 10/13/2022] [Indexed: 11/07/2022]
Abstract
Purpose Personalized approaches in dermatology are designed to match the specific requirements based on the individual genetic makeup. One major factor accounting for the differences in skin phenotypes is single nucleotide polymorphism (SNP) within several genes with diverse roles that extend beyond skin tone and pigmentation. Therefore, the cellular sensitivities to the environmental stress and damage linked to extrinsic aging could also underlie the individual characteristics of the skin and dictate the unique skin care requirements. This study aimed to identify the likely biomarkers and molecular signatures expressed in skin cells of different ethnic backgrounds, which could aid further the design of personalized skin products based on specific demands. Methods Using data mining and in-silico modeling, the association of SNP-affected genes with three major skin types of European, Asian and African origin was analyzed and compared within the structure-function gene interaction networks. Cultured dermal fibroblasts were subsequently subjected to ultraviolet radiation and oxidative stress and analyzed for DNA damage and senescent markers. The protective applications of two cosmetic ingredients, Resveratrol and Quercetin, were validated in both cellular and in-silico models. Results Each skin type was characterized by the presence of SNPs in the genes controlling facultative and constitutive pigmentation, which could also underlie the major differences in responses to photodamage, such as oxidative stress, inflammation, and barrier homeostasis. Skin-type-specific dermal fibroblasts cultured in-vitro demonstrated distinctive sensitivities to ultraviolet radiation and oxidative stress, which could be modulated further by the bioactive compounds with the predicted capacities to interact with some of the genes in the in-silico models. Conclusion Evaluation of the SNP-affected gene networks and likely sensitivities of skin cells, defined as low threshold levels to extrinsic stress factors, can provide a valuable tool for the design and formulation of personalized skin products that match more accurately diverse ethnic backgrounds.
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Affiliation(s)
- Ewa Markiewicz
- Hexis Lab, The Catalyst, Newcastle Helix, Newcastle upon Tyne, UK
| | - Olusola C Idowu
- Hexis Lab, The Catalyst, Newcastle Helix, Newcastle upon Tyne, UK,Correspondence: Olusola C Idowu, HexisLab Limited, The Catalyst, Newcastle Helix, Newcastle upon Tyne, NE4 5TG, UK, Tel +44 1394 825487, Email
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5
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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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6
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Kim Y, Yin J, Huang H, Jorgenson E, Choquet H, Asgari MM. Genome-wide association study of actinic keratosis identifies new susceptibility loci implicated in pigmentation and immune regulation pathways. Commun Biol 2022; 5:386. [PMID: 35449187 PMCID: PMC9023580 DOI: 10.1038/s42003-022-03301-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 03/18/2022] [Indexed: 01/07/2023] Open
Abstract
Actinic keratosis (AK) is a common precancerous cutaneous neoplasm that arises on chronically sun-exposed skin. AK susceptibility has a moderate genetic component, and although a few susceptibility loci have been identified, including IRF4, TYR, and MC1R, additional loci have yet to be discovered. We conducted a genome-wide association study of AK in non-Hispanic white participants of the Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort (n = 63,110, discovery cohort), with validation in the Mass-General Brigham (MGB) Biobank cohort (n = 29,130). We identified eleven loci (P < 5 × 10-8), including seven novel loci, of which four novel loci were validated. In a meta-analysis (GERA + MGB), one additional novel locus, TRPS1, was identified. Genes within the identified loci are implicated in pigmentation (SLC45A2, IRF4, BNC2, TYR, DEF8, RALY, HERC2, and TRPS1), immune regulation (FOXP1 and HLA-DQA1), and cell signaling and tissue remodeling (MMP24) pathways. Our findings provide novel insight into the genetics and pathogenesis of AK susceptibility.
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Affiliation(s)
- Yuhree Kim
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Jie Yin
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Hailiang Huang
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | | | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
| | - Maryam M Asgari
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA.
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
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7
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Flament F, Jacquet L, Ye C, Amar D, Kerob D, Jiang R, Zhang Y, Kroely C, Delaunay C, Passeron T. Artificial Intelligence analysis of over half a million European and Chinese women reveals striking differences in the facial skin aging process. J Eur Acad Dermatol Venereol 2022; 36:1136-1142. [DOI: 10.1111/jdv.18073] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/28/2022] [Accepted: 02/23/2022] [Indexed: 12/01/2022]
Affiliation(s)
- F. Flament
- L’Oréal Research and Innovation Clichy France
| | - L. Jacquet
- Vichy International Levallois‐Perret France
| | - C. Ye
- L’Oréal Research and Innovation Shanghai China
| | - D. Amar
- L’Oréal Research and Innovation Shanghai China
| | - D. Kerob
- Vichy International Levallois‐Perret France
| | - R. Jiang
- ModiFace – A L'Oréal Group Company Toronto Canada
| | - Y. Zhang
- ModiFace – A L'Oréal Group Company Toronto Canada
| | - C. Kroely
- L’Oréal CDO – Digital Service Factory Clichy France
| | - C. Delaunay
- L’Oréal Research and Innovation Clichy France
| | - T. Passeron
- Université Côte d’Azur CHU Nice Department of Dermatology Nice France
- Université Côte d’Azur INSERM U1065, C3M Nice France
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8
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Association of Melanoma-Risk Variants with Primary Melanoma Tumor Prognostic Characteristics and Melanoma-Specific Survival in the GEM Study. Curr Oncol 2021; 28:4756-4771. [PMID: 34898573 PMCID: PMC8628692 DOI: 10.3390/curroncol28060401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/11/2021] [Accepted: 11/10/2021] [Indexed: 12/15/2022] Open
Abstract
Genome-wide association studies (GWAS) and candidate pathway studies have identified low-penetrant genetic variants associated with cutaneous melanoma. We investigated the association of melanoma-risk variants with primary melanoma tumor prognostic characteristics and melanoma-specific survival. The Genes, Environment, and Melanoma Study enrolled 3285 European origin participants with incident invasive primary melanoma. For each of 47 melanoma-risk single nucleotide polymorphisms (SNPs), we used linear and logistic regression modeling to estimate, respectively, the per allele mean changes in log of Breslow thickness and odds ratios for presence of ulceration, mitoses, and tumor-infiltrating lymphocytes (TILs). We also used Cox proportional hazards regression modeling to estimate the per allele hazard ratios for melanoma-specific survival. Passing the false discovery threshold (p = 0.0026) were associations of IRF4 rs12203592 and CCND1 rs1485993 with log of Breslow thickness, and association of TERT rs2242652 with presence of mitoses. IRF4 rs12203592 also had nominal associations (p < 0.05) with presence of mitoses and melanoma-specific survival, as well as a borderline association (p = 0.07) with ulceration. CCND1 rs1485993 also had a borderline association with presence of mitoses (p = 0.06). MX2 rs45430 had nominal associations with log of Breslow thickness, presence of mitoses, and melanoma-specific survival. Our study indicates that further research investigating the associations of these genetic variants with underlying biologic pathways related to tumor progression is warranted.
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9
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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: 7] [Impact Index Per Article: 2.3] [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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10
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Loftus SK, Lundh L, Watkins-Chow DE, Baxter LL, Pairo-Castineira E, Nisc Comparative Sequencing Program, Jackson IJ, Oetting WS, Pavan WJ, Adams DR. A custom capture sequence approach for oculocutaneous albinism identifies structural variant alleles at the OCA2 locus. Hum Mutat 2021; 42:1239-1253. [PMID: 34246199 DOI: 10.1002/humu.24257] [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: 03/25/2021] [Revised: 06/02/2021] [Accepted: 06/24/2021] [Indexed: 11/09/2022]
Abstract
Oculocutaneous albinism (OCA) is a heritable disorder of pigment production that manifests as hypopigmentation and altered eye development. Exon sequencing of known OCA genes is unsuccessful in producing a complete molecular diagnosis for a significant number of affected individuals. We sequenced the DNA of individuals with OCA using short-read custom capture sequencing that targeted coding, intronic, and noncoding regulatory regions of known OCA genes, and genome-wide association study-associated pigmentation loci. We identified an OCA2 complex structural variant (CxSV), defined by a 143 kb inverted segment reintroduced in intron 1, upstream of the native location. The corresponding CxSV junctions were observed in 11/390 probands screened. The 143 kb CxSV presents in one family as a copy number variant duplication for the 143 kb region. In the remaining 10/11 families, the 143 kb CxSV acquired an additional 184 kb deletion across the same region, restoring exons 3-19 of OCA2 to a copy-number neutral state. Allele-associated haplotype analysis found rare SNVs rs374519281 and rs139696407 are linked with the 143 kb CxSV in both OCA2 alleles. For individuals in which customary molecular evaluation does not reveal a biallelic OCA diagnosis, we recommend preliminary screening for these haplotype-associated rare variants, followed by junction-specific validation for the OCA2 143 kb CxSV.
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Affiliation(s)
- Stacie K Loftus
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Linnea Lundh
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Dawn E Watkins-Chow
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Laura L Baxter
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Erola Pairo-Castineira
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, UK.,MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh, UK
| | | | - Ian J Jackson
- Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh, UK.,MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh, UK
| | - William S Oetting
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, Minnesota, USA
| | - William J Pavan
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - David R Adams
- Office of the Clinical Director, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
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11
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Dilshat R, Vu HN, Steingrímsson E. Epigenetic regulation during melanocyte development and homeostasis. Exp Dermatol 2021; 30:1033-1050. [PMID: 34003523 DOI: 10.1111/exd.14391] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 04/09/2021] [Accepted: 05/09/2021] [Indexed: 12/26/2022]
Abstract
Melanocytes originate in the neural crest as precursor cells which then migrate and proliferate to reach their destination where they differentiate into pigment-producing cells. Melanocytes not only determine the colour of hair, skin and eyes but also protect against the harmful effects of UV irradiation. The establishment of the melanocyte lineage is regulated by a defined set of transcription factors and signalling pathways that direct the specific gene expression programmes underpinning melanoblast specification, survival, migration, proliferation and differentiation. In addition, epigenetic modifiers and replacement histones play key roles in regulating gene expression and its timing during the different steps of this process. Here, we discuss the evidence for the role of epigenetic regulators in melanocyte development and function and how they interact with transcription factors and signalling pathways to establish and maintain this important cell lineage.
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Affiliation(s)
- Ramile Dilshat
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, BioMedical Center, University of Iceland, Reykjavik, Iceland
| | - Hong Nhung Vu
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, BioMedical Center, University of Iceland, Reykjavik, Iceland
| | - Eiríkur Steingrímsson
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, BioMedical Center, University of Iceland, Reykjavik, Iceland
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12
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Carratto TMT, Marcorin L, do Valle-Silva G, de Oliveira MLG, Donadi EA, Simões AL, Castelli EC, Mendes-Junior CT. Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample. Int J Legal Med 2021; 135:1329-1339. [PMID: 33884487 DOI: 10.1007/s00414-021-02554-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 02/26/2021] [Indexed: 01/23/2023]
Abstract
Human pigmentation is a complex trait, probably involving more than 100 genes. Predicting phenotypes using SNPs present in those genes is important for forensic purpose. For this, the HIrisPlex tool was developed for eye and hair color prediction, with both models achieving high accuracy among Europeans. Its evaluation in admixed populations is important, since they present a higher frequency of intermediate phenotypes, and HIrisPlex has demonstrated limitations in such predictions; therefore, the performance of this tool may be impaired in such populations. Here, we evaluate the set of 24 markers from the HIrisPlex system in 328 individuals from Ribeirão Preto (SP) region, predicting eye and hair color and comparing the predictions with their real phenotypes. We used the HaloPlex Target Enrichment System and MiSeq Personal Sequencer platform for massively parallel sequencing. The prediction of eye and hair color was accomplished by the HIrisPlex online tool, using the default prediction settings. Ancestry was estimated using the SNPforID 34-plex to observe if and how an individual's ancestry background would affect predictions in this admixed sample. Our sample presented major European ancestry (70.5%), followed by African (21.1%) and Native American/East Asian (8.4%). HIrisPlex presented an overall sensitivity of 0.691 for hair color prediction, with sensitivities ranging from 0.547 to 0.782. The lowest sensitivity was observed for individuals with black hair, who present a reduced European contribution (48.4%). For eye color prediction, the overall sensitivity was 0.741, with sensitivities higher than 0.85 for blue and brown eyes, although it failed in predicting intermediate eye color. Such struggle in predicting this phenotype category is in accordance with what has been seen in previous studies involving HIrisPlex. Individuals with brown eye color are more admixed, with European ancestry decreasing to 62.6%; notwithstanding that, sensitivity for brown eyes was almost 100%. Overall sensitivity increases to 0.791 when a 0.7 threshold is set, though 12.5% of the individuals become undefined. When combining eye and hair prediction, hit rates between 51.3 and 68.9% were achieved. Despite the difficulties with intermediate phenotypes, we have shown that HIrisPlex results can be very helpful when interpreted with caution.
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Affiliation(s)
- Thássia Mayra Telles Carratto
- Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes, 3900, SP, 14040-901, Ribeirão Preto, Brazil
| | - Letícia Marcorin
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, 14049-900, Brazil
| | - Guilherme do Valle-Silva
- Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes, 3900, SP, 14040-901, Ribeirão Preto, Brazil
| | | | - Eduardo Antônio Donadi
- Divisão de Imunologia Clínica, Departamento de Clínica Médica, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, 14048-900, Brazil
| | - Aguinaldo Luiz Simões
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, 14049-900, Brazil
| | - Erick C Castelli
- Departamento de Patologia, Faculdade de Medicina de Botucatu, Unesp - Universidade Estadual Paulista, Botucatu, SP, 18618-970, Brazil
| | - Celso Teixeira Mendes-Junior
- Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes, 3900, SP, 14040-901, Ribeirão Preto, Brazil.
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Simcoe M, Valdes A, Liu F, Furlotte NA, Evans DM, Hemani G, Ring SM, Smith GD, Duffy DL, Zhu G, Gordon SD, Medland SE, Vuckovic D, Girotto G, Sala C, Catamo E, Concas MP, Brumat M, Gasparini P, Toniolo D, Cocca M, Robino A, Yazar S, Hewitt A, Wu W, Kraft P, Hammond CJ, Shi Y, Chen Y, Zeng C, Klaver CCW, Uitterlinden AG, Ikram MA, Hamer MA, van Duijn CM, Nijsten T, Han J, Mackey DA, Martin NG, Cheng CY, Hinds DA, Spector TD, Kayser M, Hysi PG. Genome-wide association study in almost 195,000 individuals identifies 50 previously unidentified genetic loci for eye color. SCIENCE ADVANCES 2021; 7:7/11/eabd1239. [PMID: 33692100 PMCID: PMC7946369 DOI: 10.1126/sciadv.abd1239] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 01/25/2021] [Indexed: 05/03/2023]
Abstract
Human eye color is highly heritable, but its genetic architecture is not yet fully understood. We report the results of the largest genome-wide association study for eye color to date, involving up to 192,986 European participants from 10 populations. We identify 124 independent associations arising from 61 discrete genomic regions, including 50 previously unidentified. We find evidence for genes involved in melanin pigmentation, but we also find associations with genes involved in iris morphology and structure. Further analyses in 1636 Asian participants from two populations suggest that iris pigmentation variation in Asians is genetically similar to Europeans, albeit with smaller effect sizes. Our findings collectively explain 53.2% (95% confidence interval, 45.4 to 61.0%) of eye color variation using common single-nucleotide polymorphisms. Overall, our study outcomes demonstrate that the genetic complexity of human eye color considerably exceeds previous knowledge and expectations, highlighting eye color as a genetically highly complex human trait.
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Affiliation(s)
- Mark Simcoe
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
- Department of Ophthalmology, King's College London, London, UK
| | - Ana Valdes
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
- Division of Rheumatology, Orthopaedics and Dermatology, School of Medicine, University of Nottingham, Nottingham, UK
| | - Fan Liu
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | | | - David M Evans
- University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences Bristol Medical School University of Bristol, Bristol, UK
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences Bristol Medical School University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences Bristol Medical School University of Bristol, Bristol, UK
| | - David L Duffy
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Scott D Gordon
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Dragana Vuckovic
- Department of Medical Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
- Epidemiology and Biostatistics Department, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Giorgia Girotto
- Department of Medical Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Cinzia Sala
- Division of Genetics of Common Disorders, S. Raffaele Scientific Institute, Milan, Italy
| | - Eulalia Catamo
- Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Maria Pina Concas
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Marco Brumat
- Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Paolo Gasparini
- Department of Medical Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Daniela Toniolo
- Division of Genetics of Common Disorders, S. Raffaele Scientific Institute, Milan, Italy
| | - Massimiliano Cocca
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Antonietta Robino
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Seyhan Yazar
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, Australia
| | - Alex Hewitt
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, Australia
- Centre for Eye Research Australia, University of Melbourne, Department of Ophthalmology, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, Australia
| | - Wenting Wu
- Department of Epidemiology, Fairbanks School of Public Health, Indiana University, and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Christopher J Hammond
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
- Department of Ophthalmology, King's College London, London, UK
| | - Yuan Shi
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore
| | - Yan Chen
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Changqing Zeng
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Caroline C W Klaver
- Department of Ophthalmology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Ophthalmology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Merel A Hamer
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jiali Han
- Department of Epidemiology, Fairbanks School of Public Health, Indiana University, and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
| | - David A Mackey
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, Australia
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore
- Duke-NUS Medical School, Singapore
| | | | - Timothy D Spector
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.
| | - Pirro G Hysi
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK.
- Department of Ophthalmology, King's College London, London, UK
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14
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Norton HL. The color of normal: How a Eurocentric focus erases pigmentation complexity. Am J Hum Biol 2020; 33:e23554. [PMID: 33337560 DOI: 10.1002/ajhb.23554] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/03/2020] [Accepted: 12/06/2020] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES Skin pigmentation is both a highly variable and highly visible human phenotypic trait. Investigations into the biology and origins of this variation have been the focus of research in the fields of dermatology, anthropology, and forensic science, among others. This manuscript explores how much of what we know about the biology, genetics, and evolutionary origins of pigmentation has been strongly influenced by investigations and applications that focus on lighter skin. METHODS I reviewed literature from the fields of dermatology, anthropology and evolutionary genetics, and forensic science to assess how perceptions of lighter skin as the "normal" state in humans can shape the ways that knowledge is gathered and applied in these fields. RESULTS This normalization of lighter skin has impacted common tools used in dermatology and shaped the framework of dermatological education. A strong Eurocentric bias has shaped our understanding of the genetic architecture of pigmentary traits, which influences the ways in we understand the evolutionary processes leading to modern pigmentation diversity. Finally, I discuss how these biases in pigmentation genetics work in combination with phenotypic systems that privilege predicting lighter pigmentation variation to impede accurate prediction of intermediate phenotypes, particularly in individuals with ancestry from multiple populations. This can lead to a disproportionate targeting of already over-policed populations with darker skin. CONCLUSIONS Potential changes to how we conceptualize clinical and basic pigmentation research may help to reduce existing health disparities and improve understanding of pigmentation genetic architecture and how this knowledge is applied in forensic contexts.
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Affiliation(s)
- Heather L Norton
- Department of Anthropology, University of Cincinnati, Cincinnati, Ohio, USA
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15
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Sharda AV, Barr AM, Harrison JA, Wilkie AR, Fang C, Mendez LM, Ghiran IC, Italiano JE, Flaumenhaft R. VWF maturation and release are controlled by 2 regulators of Weibel-Palade body biogenesis: exocyst and BLOC-2. Blood 2020; 136:2824-2837. [PMID: 32614949 PMCID: PMC7731791 DOI: 10.1182/blood.2020005300] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 06/22/2020] [Indexed: 01/10/2023] Open
Abstract
von Willebrand factor (VWF) is an essential hemostatic protein that is synthesized in endothelial cells and stored in Weibel-Palade bodies (WPBs). Understanding the mechanisms underlying WPB biogenesis and exocytosis could enable therapeutic modulation of endogenous VWF, yet optimal targets for modulating VWF release have not been established. Because biogenesis of lysosomal related organelle-2 (BLOC-2) functions in the biogenesis of platelet dense granules and melanosomes, which like WPBs are lysosome-related organelles, we hypothesized that BLOC-2-dependent endolysosomal trafficking is essential for WPB biogenesis and sought to identify BLOC-2-interacting proteins. Depletion of BLOC-2 caused misdirection of cargo-carrying transport tubules from endosomes, resulting in immature WPBs that lack endosomal input. Immunoprecipitation of BLOC-2 identified the exocyst complex as a binding partner. Depletion of the exocyst complex phenocopied BLOC-2 depletion, resulting in immature WPBs. Furthermore, releasates of immature WPBs from either BLOC-2 or exocyst-depleted endothelial cells lacked high-molecular weight (HMW) forms of VWF, demonstrating the importance of BLOC-2/exocyst-mediated endosomal input during VWF maturation. However, BLOC-2 and exocyst showed very different effects on VWF release. Although BLOC-2 depletion impaired exocytosis, exocyst depletion augmented WPB exocytosis, indicating that it acts as a clamp. Exposure of endothelial cells to a small molecule inhibitor of exocyst, Endosidin2, reversibly augmented secretion of mature WPBs containing HMW forms of VWF. These studies show that, although BLOC-2 and exocyst cooperate in WPB formation, only exocyst serves to clamp WPB release. Exocyst function in VWF maturation and release are separable, a feature that can be exploited to enhance VWF release.
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Affiliation(s)
- Anish V Sharda
- Division of Hemostasis and Thrombosis, Beth Israel Deaconess Medical Center
| | - Alexandra M Barr
- Division of Hemostasis and Thrombosis, Beth Israel Deaconess Medical Center
| | - Joshua A Harrison
- Division of Hemostasis and Thrombosis, Beth Israel Deaconess Medical Center
| | | | - Chao Fang
- Division of Hemostasis and Thrombosis, Beth Israel Deaconess Medical Center
| | | | - Ionita C Ghiran
- Division of Allergy and Inflammation, Beth Israel Deaconess Medical Center, and
| | - Joseph E Italiano
- Division of Hematology, Brigham and Women's Hospital
- Vascular Biology Program, Department of Surgery, Children's Hospital, Harvard Medical School, Boston, MA
| | - Robert Flaumenhaft
- Division of Hemostasis and Thrombosis, Beth Israel Deaconess Medical Center
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Roberts V, Main B, Timpson NJ, Haworth S. Genome-Wide Association Study Identifies Genetic Associations with Perceived Age. J Invest Dermatol 2020; 140:2380-2385. [PMID: 32339537 PMCID: PMC7685007 DOI: 10.1016/j.jid.2020.03.970] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 02/28/2020] [Accepted: 03/04/2020] [Indexed: 11/20/2022]
Abstract
Failure of dermal protection or repair mechanisms might lead to visibly aged skin. The study aimed to identify genetic associations with perceived age. A genome-wide association study was undertaken in 423,992 adult participants of UK Biobank, using questionnaire data on perceived age and genetic data imputed to the Haplotype Reference Consortium imputation panel. The study identified 74 independently associated genetic loci, to our knowledge previously unreported (P < 5 × 10-8), which were enriched for cell signaling pathways, including the NEK6 and SMAD2 subnetworks. Common genetic variation was estimated to account for 14% of variation in perceived age, and the heritability of perceived age was partially shared with that of 75 other traits, including multiple traits representing adiposity, suggesting that perceived age may be a useful proxy trait in genetic association studies.
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Affiliation(s)
- Victoria Roberts
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Barry Main
- Bristol Medical School, University of Bristol, Bristol, United Kingdom; Bristol Dental School, University of Bristol, Bristol, United Kingdom
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Simon Haworth
- Bristol Dental School, University of Bristol, Bristol, United Kingdom; MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
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17
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Rayner JE, Duffy DL, Smit DJ, Jagirdar K, Lee KJ, De’Ambrosis B, Smithers BM, McMeniman EK, McInerney-Leo AM, Schaider H, Stark MS, Soyer HP, Sturm RA. Germline and somatic albinism variants in amelanotic/hypomelanotic melanoma: Increased carriage of TYR and OCA2 variants. PLoS One 2020; 15:e0238529. [PMID: 32966289 PMCID: PMC7510969 DOI: 10.1371/journal.pone.0238529] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 08/18/2020] [Indexed: 12/30/2022] Open
Abstract
Amelanotic/hypomelanotic melanoma is a clinicopathologic subtype with absent or minimal melanin. This study assessed previously reported coding variants in albinism genes (TYR, OCA2, TYRP1, SLC45A2, SLC24A5, LRMDA) and common intronic, regulatory variants of OCA2 in individuals with amelanotic/hypomelanotic melanoma, pigmented melanoma cases and controls. Exome sequencing was available for 28 individuals with amelanotic/hypomelanotic melanoma and 303 individuals with pigmented melanoma, which were compared to whole exome data from 1144 Australian controls. Microarray genotyping was available for a further 17 amelanotic/hypomelanotic melanoma, 86 pigmented melanoma, 147 melanoma cases (pigmentation unknown) and 652 unaffected controls. Rare deleterious variants in TYR/OCA1 were more common in amelanotic/hypomelanotic melanoma cases than pigmented melanoma cases (set mixed model association tests P = 0.0088). The OCA2 hypomorphic allele p.V443I was more common in melanoma cases (1.8%) than controls (1.0%, X2 P = 0.02), and more so in amelanotic/hypomelanotic melanoma (4.4%, X2 P = 0.007). No amelanotic/hypomelanotic melanoma cases carried an eye and skin darkening haplotype of OCA2 (including rs7174027), present in 7.1% of pigmented melanoma cases (P = 0.0005) and 9.4% controls. Variants in TYR and OCA2 may play a role in amelanotic/hypomelanotic melanoma susceptibility. We suggest that somatic loss of function at these loci could contribute to the loss of tumor pigmentation, consistent with this we found a higher rate of somatic mutation in TYR/OCA2 in amelanotic/hypomelanotic melanoma vs pigmented melanoma samples (28.6% vs 3.0%; P = 0.021) from The Cancer Genome Atlas Skin Cutaneous Melanoma collection.
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Affiliation(s)
- Jenna E. Rayner
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
| | - David L. Duffy
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
- QIMR Berghofer Medical Research Institute, Brisbane, Qld, Australia
| | - Darren J. Smit
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
| | - Kasturee Jagirdar
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
| | - Katie J. Lee
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
| | - Brian De’Ambrosis
- Dermatology Department, Princess Alexandra Hospital, Brisbane, Qld, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Qld, Australia
- South East Dermatology, Annerley, Brisbane, Qld, Australia
| | - B. Mark Smithers
- Queensland Melanoma Project, School of Medicine, The University of Queensland, Brisbane, Qld, Australia
| | - Erin K. McMeniman
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
- Dermatology Department, Princess Alexandra Hospital, Brisbane, Qld, Australia
| | - Aideen M. McInerney-Leo
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
| | - Helmut Schaider
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
| | - Mitchell S. Stark
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
| | - H. Peter Soyer
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
- Dermatology Department, Princess Alexandra Hospital, Brisbane, Qld, Australia
| | - Richard A. Sturm
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Qld, Australia
- * E-mail:
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18
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An Agouti-Signaling-Protein Mutation is Strongly Associated with Melanism in European Roe Deer ( Capreolus capreolus). Genes (Basel) 2020; 11:genes11060647. [PMID: 32545389 PMCID: PMC7349051 DOI: 10.3390/genes11060647] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 06/05/2020] [Accepted: 06/08/2020] [Indexed: 11/17/2022] Open
Abstract
Although the European roe deer (Capreolus capreolus) population of North-West Germany has a remarkable number of melanistic specimens between 10% and 25%, the underlying genetic mutation-causing melanism is still unknown. We used a gene targeting approach focusing on MC1R and ASIP as important genes of coat coloration. Overall, 1384 bp of MC1R and 2039 bp of ASIP were sequenced in 24 specimens and several SNPs were detected. But only the ASIP-SNP c.33G>T completely segregated both phenotypes leading to the amino acid substitution p.Leu11Phe. The SNP was further evaluated in additional 471 samples. Generally, all black specimens (n = 33) were homozygous TT, whereas chestnut individuals were either homozygote GG (n = 436) or heterozygote GT (n = 26). Considering the fact that all melanistic animals shared two mutated alleles of the strongly associated SNP, we concluded that melanism is inherited in a recessive mode in European roe deer.
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Schierz IAM, Giuffrè M, Del Vecchio A, Antona V, Corsello G, Piro E. Recognizable neonatal clinical features of aplasia cutis congenita. Ital J Pediatr 2020; 46:25. [PMID: 32070410 PMCID: PMC7029587 DOI: 10.1186/s13052-020-0789-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 02/07/2020] [Indexed: 11/24/2022] Open
Abstract
Background Aplasia cutis congenita (ACC), classified in nine groups, is likely to be underreported, since milder isolated lesions in wellbeing newborns could often be undetected, and solitary lesions in the context of polymalformative syndromes could not always be reported. Regardless of form and cause, therapeutic options have in common the aim to restore the deficient mechanical and immunological cutaneous protection and to limit the risk of fluid leakage or rupture of the exposed organs. We aimed to review our institutional prevalence, comorbidities, treatment and outcome of newborns with ACC. Methods We conducted a retrospective study including all newborns affected by ACC and admitted at the University Mother-Child Department from October 2010 to October 2019. Anthropometric and clinical characteristics of ACC1 versus a non-isolated ACC group were analyzed. Results We encountered 37 newborns, 16 with ACC1 versus 21 with non-isolated ACC. The incidence rate of 0.1% in ACC1 was higher than expected, while 19% of cases showed intrafamilial autosomal dominant transmission. Higher birth weight centile, though lower than reference population, being adequate for gestational age, normal Apgar score and euglycemia characterizing ACC1 resulted associated to a rapid tissue regeneration. Non-isolated ACC, in relation to concomitant congenital anomalies and higher prematurity rate, showed more surgical and medical complications along with the risk of neonatal death. Specifically, newborns with ACC4 were characterized by the frequent necessity of abdominal wall defect repair, responsible for the occurrence of an abdominal compartment syndrome. Conclusion Prompt carefully assessment of the newborn with ACC in order to exclude concomitant other congenital malformations, provides clues to the underlying pathophysiology, and to the short-term prognosis. Family should be oriented toward identification of other family members affected by similar pathology, while obstetric history should exclude initial multiple pregnancy with death of a co-twin, placental anomalies and drug assumption. Molecular-genetic diagnosis and genetic counseling are integrative in individualized disease approach.
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Affiliation(s)
- Ingrid Anne Mandy Schierz
- Neonatal Intensive Care Unit, AOUP "P. Giaccone" Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Via Alfonso Giordano n. 3, 90127, Palermo, Italy.
| | - Mario Giuffrè
- Neonatal Intensive Care Unit, AOUP "P. Giaccone" Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Via Alfonso Giordano n. 3, 90127, Palermo, Italy
| | - Antonello Del Vecchio
- Neonatal Intensive Care Unit, "Di Venere" Hospital Department of Women's and Children's Health, University of Bari, Bari, Italy
| | - Vincenzo Antona
- Neonatal Intensive Care Unit, AOUP "P. Giaccone" Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Via Alfonso Giordano n. 3, 90127, Palermo, Italy
| | - Giovanni Corsello
- Neonatal Intensive Care Unit, AOUP "P. Giaccone" Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Via Alfonso Giordano n. 3, 90127, Palermo, Italy
| | - Ettore Piro
- Neonatal Intensive Care Unit, AOUP "P. Giaccone" Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Via Alfonso Giordano n. 3, 90127, Palermo, Italy
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Zorina-Lichtenwalter K, Lichtenwalter RN, Zaykin DV, Parisien M, Gravel S, Bortsov A, Diatchenko L. A study in scarlet: MC1R as the main predictor of red hair and exemplar of the flip-flop effect. Hum Mol Genet 2020; 28:2093-2106. [PMID: 30657907 DOI: 10.1093/hmg/ddz018] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 01/04/2019] [Accepted: 01/08/2019] [Indexed: 12/11/2022] Open
Abstract
Genetic variation in melanocortin-1 receptor (MC1R) is a known contributor to disease-free red hair in humans. Three loss-of-function single-nucleotide variants (rs1805007, rs1805008 and rs1805009) have been established as strongly correlated with red hair. The contribution of other loss-of-function MC1R variants (in particular rs1805005, rs2228479 and rs885479) and the extent to which other genetic loci are involved in red hair colour is less well understood. Here, we used the UK Biobank cohort to capture a comprehensive list of MC1R variants contributing to red hair colour. We report a correlation with red hair for both strong-effect variants (rs1805007, rs1805008 and rs1805009) and weak-effect variants (rs1805005, rs2228479 and rs885479) and show that their coefficients differ by two orders of magnitude. On the haplotype level, both strong- and weak-effect variants contribute to the red hair phenotype, but when considered individually, weak-effect variants show a reverse, negative association with red hair. The reversal of association direction in the single-variant analysis is facilitated by a distinguishing structure of MC1R, in which loss-of-function variants are never found to co-occur on the same haplotype. The other previously reported hair colour genes' variants do not substantially improve the MC1R red hair colour predictive model. Our best model for predicting red versus other hair colours yields an unparalleled area under the receiver operating characteristic of 0.96 using only MC1R variants. In summary, we present a comprehensive statistically derived characterization of the role of MC1R variants in red hair colour and offer a powerful, economical and parsimonious model that achieves unsurpassed performance.
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Affiliation(s)
| | - Ryan N Lichtenwalter
- Anesthesia and the Alan Edwards Centre for Research on Pain, McGill University, Montreal, Canada
| | - Dima V Zaykin
- Biostatistics, National Institutes of Health, Research Triangle Park, NC, USA
| | - Marc Parisien
- Anesthesia and the Alan Edwards Centre for Research on Pain, McGill University, Montreal, Canada
| | - Simon Gravel
- Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Canada
| | - Andrey Bortsov
- Department of Anesthesiology, Center for Translational Pain Medicine, Durham, NC, USA
| | - Luda Diatchenko
- Anesthesia and the Alan Edwards Centre for Research on Pain, McGill University, Montreal, Canada
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21
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Yuan Y, Du Y, Wang L, Liu X. The value of endothelin receptor type B promoter methylation as a biomarker for the risk assessment and diagnosis of prostate cancer: A meta-analysis. Pathol Res Pract 2019; 216:152796. [PMID: 31926772 DOI: 10.1016/j.prp.2019.152796] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 11/23/2019] [Accepted: 12/12/2019] [Indexed: 02/06/2023]
Abstract
Previous researches have demonstrated that the methylation status of the EDNRB promoter was associated with the prostate cancer (PCa), but these conclusions remained controversial. Thus, the aim of this meta-analysis was to evaluate the association between EDNRB promoter methylation and the PCa. According to the PRISMA statement, the Web of Science, PubMed, EMBASE, and Cochrane Library databases were retrieved. The ORs and 95 % CIs were analyzed to evaluate the associations between EDNRB promoter methylation and the risk and clinical features of PCa. Heterogeneity among the included studies was estimated by I2 statistic and Q test. Publication bias and sensitivity analysis were utilized to test the robustness of our outcomes. In addition, the pooled sensitivity and specificity were calculated to assess the diagnostic value of EDNRB methylation for PCa. Ultimately, 11 eligible studies were included. Under the random-effects model, the pooled OR shown that the frequency of EDNRB methylation was substantially higher in cases compared with controls (OR = 5.42, 95 % CI = 1.98-14.88, P = 0.001). The similar results were also found by the data from TCGA database. Subgroup analysis according to the methylation detection method showed that the heterogeneity in quantitative methylation-specific polymerase chain reaction (qMSP) group was insignificant (I2 = 0.0 %, P = 0.669). Moreover, the pooled sensitivity for all-inclusive studies was 0.55 (95 % CI: 0.26-0.81), and the pooled specificity was 0.93 (95 % CI: 0.55-0.99). The methylation of EDNRB promoter might increase the risk of PCa. Meanwhile, EDNRB promoter methylation test combined with PSA testing and/or other biomarkers could be promising diagnostic biomarkers for more accurate detection of PCa.
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Affiliation(s)
- Yan Yuan
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, PR China
| | - Yang Du
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, PR China
| | - Lei Wang
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, PR China
| | - Xiuheng Liu
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, PR China.
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22
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Liu Y, Gao W, Koellmann C, Le Clerc S, Hüls A, Li B, Peng Q, Wu S, Ding A, Yang Y, Jin L, Krutmann J, Schikowski T, Zagury JF, Wang S. Genome-wide scan identified genetic variants associated with skin aging in a Chinese female population. J Dermatol Sci 2019; 96:42-49. [DOI: 10.1016/j.jdermsci.2019.08.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 08/17/2019] [Accepted: 08/29/2019] [Indexed: 12/13/2022]
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23
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Inherited Melanoma Risk Variants Associated with Histopathologically Amelanotic Melanoma. J Invest Dermatol 2019; 140:918-922.e7. [PMID: 31568773 DOI: 10.1016/j.jid.2019.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/05/2019] [Accepted: 09/09/2019] [Indexed: 01/26/2023]
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24
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Fufa TD, Baxter LL, Wedel JC, Gildea DE, Loftus SK, Pavan WJ. MEK inhibition remodels the active chromatin landscape and induces SOX10 genomic recruitment in BRAF(V600E) mutant melanoma cells. Epigenetics Chromatin 2019; 12:50. [PMID: 31399133 PMCID: PMC6688322 DOI: 10.1186/s13072-019-0297-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 07/28/2019] [Indexed: 01/03/2023] Open
Abstract
Background The MAPK/ERK signaling pathway is an essential regulator of numerous cell processes that are crucial for normal development as well as cancer progression. While much is known regarding MAPK/ERK signal conveyance from the cell membrane to the nucleus, the transcriptional and epigenetic mechanisms that govern gene expression downstream of MAPK signaling are not fully elucidated. Results This study employed an integrated epigenome analysis approach to interrogate the effects of MAPK/ERK pathway inhibition on the global transcriptome, the active chromatin landscape, and protein–DNA interactions in 501mel melanoma cells. Treatment of these cells with the small-molecule MEK inhibitor AZD6244 induces hyperpigmentation, widespread gene expression changes including alteration of genes linked to pigmentation, and extensive epigenomic reprogramming of transcriptionally distinct regulatory regions associated with the active chromatin mark H3K27ac. Regulatory regions with differentially acetylated H3K27ac regions following AZD6244 treatment are enriched in transcription factor binding motifs of ETV/ETS and ATF family members as well as the lineage-determining factors MITF and SOX10. H3K27ac-dense enhancer clusters known as super-enhancers show similar transcription factor motif enrichment, and furthermore, these super-enhancers are associated with genes encoding MITF, SOX10, and ETV/ETS proteins. Along with genome-wide resetting of the active enhancer landscape, MEK inhibition also results in widespread SOX10 recruitment throughout the genome, including increased SOX10 binding density at H3K27ac-marked enhancers. Importantly, these MEK inhibitor-responsive enhancers marked by H3K27ac and occupied by SOX10 are located near melanocyte lineage-specific and pigmentation genes and overlap numerous human SNPs associated with pigmentation and melanoma phenotypes, highlighting the variants located within these regions for prioritization in future studies. Conclusions These results reveal the epigenetic reprogramming underlying the re-activation of melanocyte pigmentation and developmental transcriptional programs in 501mel cells in response to MEK inhibition and suggest extensive involvement of a MEK-SOX10 axis in the regulation of these processes. The dynamic chromatin changes identified here provide a rich genomic resource for further analyses of the molecular mechanisms governing the MAPK pathway in pigmentation- and melanocyte-associated diseases. Electronic supplementary material The online version of this article (10.1186/s13072-019-0297-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Temesgen D Fufa
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.,Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Laura L Baxter
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Julia C Wedel
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Derek E Gildea
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | | | - Stacie K Loftus
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - William J Pavan
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
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25
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Immunomodulatory germline variation associated with the development of multiple primary melanoma (MPM). Sci Rep 2019; 9:10173. [PMID: 31308438 PMCID: PMC6629847 DOI: 10.1038/s41598-019-46665-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 06/28/2019] [Indexed: 12/27/2022] Open
Abstract
Multiple primary melanoma (MPM) has been associated with a higher 10-year mortality risk compared to patients with single primary melanoma (SPM). Given that 3–8% of patients with SPM develop additional primary melanomas, new markers predictive of MPM risk are needed. Based on the evidence that the immune system may regulate melanoma progression, we explored whether germline genetic variants controlling the expression of 41 immunomodulatory genes modulate the risk of MPM compared to patients with SPM or healthy controls. By genotyping these 41 variants in 977 melanoma patients, we found that rs2071304, linked to the expression of SPI1, was strongly associated with MPM risk reduction (OR = 0.60; 95% CI = 0.45–0.81; p = 0.0007) when compared to patients with SPM. Furthermore, we showed that rs6695772, a variant affecting expression of BATF3, is also associated with MPM-specific survival (HR = 3.42; 95% CI = 1.57–7.42; p = 0.0019). These findings provide evidence that the genetic variation in immunomodulatory pathways may contribute to the development of secondary primary melanomas and also associates with MPM survival. The study suggests that inherited host immunity may play an important role in MPM development.
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26
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Fritsche LG, Beesley LJ, VandeHaar P, Peng RB, Salvatore M, Zawistowski M, Gagliano Taliun SA, Das S, LeFaive J, Kaleba EO, Klumpner TT, Moser SE, Blanc VM, Brummett CM, Kheterpal S, Abecasis GR, Gruber SB, Mukherjee B. Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb. PLoS Genet 2019; 15:e1008202. [PMID: 31194742 PMCID: PMC6592565 DOI: 10.1371/journal.pgen.1008202] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 06/25/2019] [Accepted: 05/17/2019] [Indexed: 01/08/2023] Open
Abstract
Polygenic risk scores (PRS) are designed to serve as single summary measures that are easy to construct, condensing information from a large number of genetic variants associated with a disease. They have been used for stratification and prediction of disease risk. The primary focus of this paper is to demonstrate how we can combine PRS and electronic health records data to better understand the shared and unique genetic architecture and etiology of disease subtypes that may be both related and heterogeneous. PRS construction strategies often depend on the purpose of the study, the available data/summary estimates, and the underlying genetic architecture of a disease. We consider several choices for constructing a PRS using data obtained from various publicly-available sources including the UK Biobank and evaluate their abilities to predict not just the primary phenotype but also secondary phenotypes derived from electronic health records (EHR). This study was conducted using data from 30,702 unrelated, genotyped patients of recent European descent from the Michigan Genomics Initiative (MGI), a longitudinal biorepository effort within Michigan Medicine. We examine the three most common skin cancer subtypes in the USA: basal cell carcinoma, cutaneous squamous cell carcinoma, and melanoma. Using these PRS for various skin cancer subtypes, we conduct a phenome-wide association study (PheWAS) within the MGI data to evaluate PRS associations with secondary traits. PheWAS results are then replicated using population-based UK Biobank data and compared across various PRS construction methods. We develop an accompanying visual catalog called PRSweb that provides detailed PheWAS results and allows users to directly compare different PRS construction methods.
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Affiliation(s)
- Lars G. Fritsche
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Lauren J. Beesley
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Peter VandeHaar
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Robert B. Peng
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Maxwell Salvatore
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Matthew Zawistowski
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Sarah A. Gagliano Taliun
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Sayantan Das
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Jonathon LeFaive
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Erin O. Kaleba
- Division of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
| | - Thomas T. Klumpner
- Division of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Stephanie E. Moser
- Division of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
| | - Victoria M. Blanc
- Central Biorepository, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
| | - Chad M. Brummett
- Division of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Sachin Kheterpal
- Division of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Gonçalo R. Abecasis
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Stephen B. Gruber
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- Michigan Institute for Data Science, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, United States of America
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3'UTR variants of TNS3, PHLDB1, NTN4, and GNG2 genes are associated with IgA nephropathy risk in Chinese Han population. Int Immunopharmacol 2019; 71:295-300. [PMID: 30928649 DOI: 10.1016/j.intimp.2019.03.041] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 03/21/2019] [Accepted: 03/21/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND Immunoglobulin A nephropathy (IgAN) is the most common primary glomerulonephritis and is characterized by mesangial cell proliferation and agglomeration of the mesangial matrix. METHODS In this study, we aimed to explore the role of TNS3, PHLDB1, NTN4, and GNG2 3'untranslated region (3'UTR) polymorphisms with the risk of IgAN in a Chinese Han cohort. A logistic recession model was used to calculate the effects of candidate single nucleotide polymorphism (SNP) on IgAN risk after adjusting age and gender difference. In silico prediction was conducted to identify potential functions of SNPs. RESULTS The analysis revealed a significant relationship between the homozygotic genotype for NTN4 rs1362970 A/A and higher risk of IgAN (p = 0.003). Statistically significant associations were found when the sample was stratified by gender and Lee's grade. As a result, NTN4 rs1362970 A/A and GNG2 rs3204008 G/G genotypes were associated with enhanced IgAN risk in males (p = 0.006, p = 0.023, respectively), and the association between the PHLDB1 rs7389 G/T genotype and higher IgAN risk was found in females (p = 0.008). In the Lee's grade III-V subgroup, the rs1369270 in NTN4 was significantly correlated with the risk of IgAN (p = 0.004). Bioinformatics prediction suggested that rs1362970 within NTN4 3'UTR was located in the potential target sequence of miR-483-5p. CONCLUSIONS Our research confirmed that NTN4, GNG2, and PHLDB1 gene polymorphisms were implicated in IgAN susceptibility in Chinese Han population. Further research should be conducted to investigate and validate the mechanism by which the above-mentioned polymorphisms affect IgAN.
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28
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Salardaine Q, Marquet V, Bourthoumieu S, Dauriat B, Dobrescu A, Yardin C. Unexpected phenotype in a patient with two chromosomal deletions involving 6pter and 22q11. Morphologie 2019; 103:116-121. [PMID: 30885456 DOI: 10.1016/j.morpho.2019.02.002] [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: 08/24/2018] [Revised: 02/13/2019] [Accepted: 02/20/2019] [Indexed: 10/27/2022]
Abstract
The 6p terminal deletions are rare and usually early diagnosed because of their association with eye and cranio-facial anomalies, particularly as part of Axenfeld-Rieger syndrome in relation with the haploinsufficiency of FOXC1 gene. Deletions in the 22q11 region are frequent, highly correlated with DiGeorge syndrome also named CATCH22, and may be associated with many clinical features of various severities. We report a 31-year-old man with an unbalanced 45,XY,der(6)t(6;22)(p25;q11.2),-22 karyotype leading to monosomies in both 6p25 and 22q11 regions, confirmed by FISH and array-CGH. The length of the deletions was respectively 770 Kb for 6pter and 2.9 Mb for 22q11. This karyotype was discovered at adult age following problems of fertility. The chromosomal formula was unexpected, regarding the patient's medical history and clinical features. This case makes a great example of the difficulties to correlate genotype and phenotype, and furthermore demonstrates the complexity of genetic counselling even in a case with two different chromosomal unbalances.
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Affiliation(s)
- Q Salardaine
- Department of cytogenetics and clinical genetics, Limoges University Hospital, 87042 Limoges cedex, France
| | - V Marquet
- Department of cytogenetics and clinical genetics, Limoges University Hospital, 87042 Limoges cedex, France
| | - S Bourthoumieu
- Department of cytogenetics and clinical genetics, Limoges University Hospital, 87042 Limoges cedex, France
| | - B Dauriat
- Department of cytogenetics and clinical genetics, Limoges University Hospital, 87042 Limoges cedex, France
| | - A Dobrescu
- Department of cytogenetics and clinical genetics, Limoges University Hospital, 87042 Limoges cedex, France
| | - C Yardin
- Department of cytogenetics and clinical genetics, Limoges University Hospital, 87042 Limoges cedex, France; University Limoges, CNRS, XLIM, UMR 7252, 87000 Limoges, France.
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Ganguly K, Saha T, Saha A, Dutta T, Banerjee S, Sengupta D, Bhattacharya S, Ghosh S, Sengupta M. Meta-analysis and prioritization of human skin pigmentation-associated GWAS-SNPs using ENCODE data-based web-tools. Arch Dermatol Res 2019; 311:163-171. [PMID: 30756169 DOI: 10.1007/s00403-019-01891-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 11/26/2018] [Accepted: 02/09/2019] [Indexed: 12/30/2022]
Abstract
Skin pigmentation in human is a complex trait, which varies widely, both within and between human populations. The exact players governing the trait of skin pigmentation remain elusive till date. Various Genome Wide Association Studies (GWAS) have shown the association of different genomic variants with normal human skin pigmentation, often indicating genes with no direct implications in melanin biosynthesis or distribution. Little has been explained in terms of the functionality of the associated Single-Nucleotide Polymorphisms (SNPs) with respect to modulating the skin pigmentation phenotype. In the present study, which, to our knowledge, is the first of its kind, we tried to analyze and prioritize 519 non-coding SNPs and 24 3'UTR SNPs emerging from 14 different human skin pigmentation-related GWAS, primarily using several ENCODE-based web-tools like rSNPBase, RegulomeDB, HaploReg, etc., most of which incorporate experimentally validated evidences in their predictions. Using this comprehensive, in-silico, analytical approach, we successfully prioritized all the pigmentation-associated GWAS-SNPs and tried to annotate pigmentation-related functionality to them, which would pave the way for deeper understanding of the molecular basis of human skin pigmentation variations.
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Affiliation(s)
- Kausik Ganguly
- Department of Genetics, University of Calcutta, Kolkata, India
| | - Tania Saha
- Department of Genetics, University of Calcutta, Kolkata, India
| | - Arpan Saha
- Department of Genetics, University of Calcutta, Kolkata, India
| | - Tithi Dutta
- Department of Genetics, University of Calcutta, Kolkata, India
| | | | | | | | - Sampurna Ghosh
- Department of Genetics, University of Calcutta, Kolkata, India
| | - Mainak Sengupta
- Department of Genetics, University of Calcutta, Kolkata, India.
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Zenin A, Tsepilov Y, Sharapov S, Getmantsev E, Menshikov LI, Fedichev PO, Aulchenko Y. Identification of 12 genetic loci associated with human healthspan. Commun Biol 2019; 2:41. [PMID: 30729179 PMCID: PMC6353874 DOI: 10.1038/s42003-019-0290-0] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Accepted: 01/08/2019] [Indexed: 02/06/2023] Open
Abstract
Aging populations face diminishing quality of life due to increased disease and morbidity. These challenges call for longevity research to focus on understanding the pathways controlling healthspan. We use the data from the UK Biobank (UKB) cohort and observe that the risks of major chronic diseases increased exponentially and double every eight years, i.e., at a rate compatible with the Gompertz mortality law. Assuming that aging drives the acceleration in morbidity rates, we build a risk model to predict the age at the end of healthspan depending on age, gender, and genetic background. Using the sub-population of 300,447 British individuals as a discovery cohort, we identify 12 loci associated with healthspan at the whole-genome significance level. We find strong genetic correlations between healthspan and all-cause mortality, life-history, and lifestyle traits. We thereby conclude that the healthspan offers a promising new way to interrogate the genetics of human longevity.
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Affiliation(s)
- Aleksandr Zenin
- Gero LLC, Novokuznetskaya street 24/2, Moscow, Russia 119017
| | - Yakov Tsepilov
- Novosibirsk State University, Pirogova 2, Novosibirsk, Russia 630090
- Institute of Cytology and Genetics SB RAS, Lavrentyeva ave. 10, Novosibirsk, Russia 630090
| | - Sodbo Sharapov
- Novosibirsk State University, Pirogova 2, Novosibirsk, Russia 630090
- Institute of Cytology and Genetics SB RAS, Lavrentyeva ave. 10, Novosibirsk, Russia 630090
| | | | - L. I. Menshikov
- Gero LLC, Novokuznetskaya street 24/2, Moscow, Russia 119017
- National Research Center “Kurchatov Institute”, 1, Akademika Kurchatova pl., Moscow, Russia 123182
| | - Peter O. Fedichev
- Gero LLC, Novokuznetskaya street 24/2, Moscow, Russia 119017
- Moscow Institute of Physics and Technology, Institutskii per. 9, Dolgoprudny, Moscow Russia 141700
| | - Yurii Aulchenko
- Novosibirsk State University, Pirogova 2, Novosibirsk, Russia 630090
- Institute of Cytology and Genetics SB RAS, Lavrentyeva ave. 10, Novosibirsk, Russia 630090
- PolyOmica, Het Vlaggeschip 61, 5237PA ‘s-Hertogenbosch, The Netherlands
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, Scotland EH8 9AG UK
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31
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Li WQ, Cho E, Wu S, Li S, Matthews NH, Qureshi AA. Host Characteristics and Risk of Incident Melanoma by Breslow Thickness. Cancer Epidemiol Biomarkers Prev 2019; 28:217-224. [PMID: 30341099 PMCID: PMC6324995 DOI: 10.1158/1055-9965.epi-18-0607] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 08/10/2018] [Accepted: 10/04/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Several host characteristics, including pigmentary traits (hair color, sunburn susceptibility and tanning ability), number of common nevi (moles), and family history of melanoma, have been associated with risk of melanoma. METHODS We prospectively examined the associations between host characteristics and risk of incident melanoma by Breslow thickness (≤1 mm, thin melanoma; or >1 mm, "thicker melanoma") based on the Nurses' Health Study (NHS, n = 86,380 women), NHS II (n = 104,100 women), and Health Professionals Follow-up Study (HPFS, n = 46,934 men). RESULTS During 22-30 years' follow-up, a total of 1,813 incident melanoma cases were identified with information on Breslow thickness, 1,392 (76.8%) of which had thin melanoma. No significant differences were observed for thin and thicker melanoma in associations with hair color, sunburn susceptibility, and tanning ability. However, we found significant differences for the association with family history of melanoma, with a higher risk estimate for thicker melanoma [HR = 2.55; 95% confidence interval (CI): 1.91-3.42] than thin melanoma (HR = 1.59; 95% CI: 1.21-2.08; P heterogeneity = 0.02). Interestingly, women and men displayed differential associations between nevi count and risk of melanoma by Breslow thickness, with the association appearing stronger for thicker melanoma than thin melanoma in men (P heterogeneity = 0.01), but not in women. CONCLUSIONS Individuals with family history of melanoma may be more likely to develop thicker melanoma. Men with high number of common nevi may tend to develop thicker melanoma, which was not found for women. IMPACT The findings further stress the risk of thicker melanoma for individuals with a family history of melanoma and men with a high nevi count.
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Affiliation(s)
- Wen-Qing Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing, China.
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island
| | - Eunyoung Cho
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Shaowei Wu
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Suyun Li
- School of Public Health, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China
| | - Natalie H Matthews
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Abrar A Qureshi
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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Genome-wide study of hair colour in UK Biobank explains most of the SNP heritability. Nat Commun 2018; 9:5271. [PMID: 30531825 PMCID: PMC6288091 DOI: 10.1038/s41467-018-07691-z] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 11/14/2018] [Indexed: 01/22/2023] Open
Abstract
Natural hair colour within European populations is a complex genetic trait. Previous work has established that MC1R variants are the principal genetic cause of red hair colour, but with variable penetrance. Here, we have extensively mapped the genes responsible for hair colour in the white, British ancestry, participants in UK Biobank. MC1R only explains 73% of the SNP heritability for red hair in UK Biobank, and in fact most individuals with two MC1R variants have blonde or light brown hair. We identify other genes contributing to red hair, the combined effect of which accounts for ~90% of the SNP heritability. Blonde hair is associated with over 200 genetic variants and we find a continuum from black through dark and light brown to blonde and account for 73% of the SNP heritability of blonde hair. Many of the associated genes are involved in hair growth or texture, emphasising the cellular connections between keratinocytes and melanocytes in the determination of hair colour. Natural hair colour in Europeans is a complex genetic trait. Here, the authors carry out a genome-wide association study using UK BioBank data, suggesting that in combination with pigmentation genes, variants with roles in hair texture and growth can affect hair colouration or our perception of it.
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Quillen EE, Norton HL, Parra EJ, Lona-Durazo F, Ang KC, Illiescu FM, Pearson LN, Shriver MD, Lasisi T, Gokcumen O, Starr I, Lin YL, Martin AR, Jablonski NG. Shades of complexity: New perspectives on the evolution and genetic architecture of human skin. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2018; 168 Suppl 67:4-26. [PMID: 30408154 DOI: 10.1002/ajpa.23737] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 09/17/2018] [Accepted: 09/20/2018] [Indexed: 02/06/2023]
Abstract
Like many highly variable human traits, more than a dozen genes are known to contribute to the full range of skin color. However, the historical bias in favor of genetic studies in European and European-derived populations has blinded us to the magnitude of pigmentation's complexity. As deliberate efforts are being made to better characterize diverse global populations and new sequencing technologies, better measurement tools, functional assessments, predictive modeling, and ancient DNA analyses become more widely accessible, we are beginning to appreciate how limited our understanding of the genetic bases of human skin color have been. Novel variants in genes not previously linked to pigmentation have been identified and evidence is mounting that there are hundreds more variants yet to be found. Even for genes that have been exhaustively characterized in European populations like MC1R, OCA2, and SLC24A5, research in previously understudied groups is leading to a new appreciation of the degree to which genetic diversity, epistatic interactions, pleiotropy, admixture, global and local adaptation, and cultural practices operate in population-specific ways to shape the genetic architecture of skin color. Furthermore, we are coming to terms with how factors like tanning response and barrier function may also have influenced selection on skin throughout human history. By examining how our knowledge of pigmentation genetics has shifted in the last decade, we can better appreciate how far we have come in understanding human diversity and the still long road ahead for understanding many complex human traits.
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Affiliation(s)
- Ellen E Quillen
- Department of Internal Medicine, Section of Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.,Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Heather L Norton
- Department of Anthropology, University of Cincinnati, Cincinnati, Ohio
| | - Esteban J Parra
- Department of Anthropology, University of Toronto - Mississauga, Mississauga, Ontario, Canada
| | - Frida Lona-Durazo
- Department of Anthropology, University of Toronto - Mississauga, Mississauga, Ontario, Canada
| | - Khai C Ang
- Department of Pathology and Jake Gittlen Laboratories for Cancer Research, Penn State College of Medicine, Hershey, Pennsylvania
| | - Florin Mircea Illiescu
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom.,Centro de Estudios Interculturales e Indígenas - CIIR, P. Universidad Católica de Chile, Santiago, Chile
| | - Laurel N Pearson
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania
| | - Mark D Shriver
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania
| | - Tina Lasisi
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania
| | - Omer Gokcumen
- Department of Biological Sciences, State University of New York at Buffalo, Buffalo, New York
| | - Izzy Starr
- Department of Biological Sciences, State University of New York at Buffalo, Buffalo, New York
| | - Yen-Lung Lin
- Department of Biological Sciences, State University of New York at Buffalo, Buffalo, New York
| | - Alicia R Martin
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Nina G Jablonski
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania
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Thomas NE, Edmiston SN, Orlow I, Kanetsky PA, Luo L, Gibbs DC, Parrish EA, Hao H, Busam KJ, Armstrong BK, Kricker A, Cust AE, Anton-Culver H, Gruber SB, Gallagher RP, Zanetti R, Rosso S, Sacchetto L, Dwyer T, Ollila DW, Begg CB, Berwick M, Conway K. Inherited Genetic Variants Associated with Melanoma BRAF/NRAS Subtypes. J Invest Dermatol 2018; 138:2398-2404. [PMID: 29753029 PMCID: PMC6200630 DOI: 10.1016/j.jid.2018.04.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Accepted: 04/08/2018] [Indexed: 10/16/2022]
Abstract
BRAF and NRAS mutations arise early in melanoma development, but their associations with low-penetrance melanoma susceptibility loci remain unknown. In the Genes, Environment and Melanoma Study, 1,223 European-origin participants had their incident invasive primary melanomas screened for BRAF/NRAS mutations and germline DNA genotyped for 47 single-nucleotide polymorphisms identified as low-penetrant melanoma-risk variants. We used multinomial logistic regression to simultaneously examine each single-nucleotide polymorphism's relationship to BRAF V600E, BRAF V600K, BRAF other, and NRAS+ relative to BRAF-/NRAS- melanoma adjusted for study features. IRF4 rs12203592*T was associated with BRAF V600E (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.43-0.79) and V600K (OR = 0.65, 95% CI = 0.41-1.03), but not BRAF other or NRAS+ melanoma. A global test of etiologic heterogeneity (Pglobal = 0.001) passed false discovery (Pglobal = 0.0026). PLA2G6 rs132985*T was associated with BRAF V600E (OR = 1.32, 95% CI = 1.05-1.67) and BRAF other (OR = 1.82, 95% CI = 1.11-2.98), but not BRAF V600K or NRAS+ melanoma. The test for etiologic heterogeneity (Pglobal) was 0.005. The IRF4 rs12203592 associations were slightly attenuated after adjustment for melanoma-risk phenotypes. The PLA2G6 rs132985 associations were independent of phenotypes. IRF4 and PLA2G6 inherited genotypes may influence melanoma BRAF/NRAS subtype development.
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Affiliation(s)
- Nancy E Thomas
- Department of Dermatology, University of North Carolina, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA.
| | - Sharon N Edmiston
- Department of Dermatology, University of North Carolina, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, USA
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Li Luo
- Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, New Mexico, USA
| | - David C Gibbs
- Department of Epidemiology, Emory University, Atlanta, Georgia, USA
| | - Eloise A Parrish
- Department of Dermatology, University of North Carolina, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Honglin Hao
- Department of Dermatology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Klaus J Busam
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, USA
| | - Bruce K Armstrong
- School of Public and Global Health, The University of Western Australia, Perth, Australia
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - Anne E Cust
- Sydney School of Public Health, The University of Sydney, Sydney, Australia; Melanoma Institute Australia, The University of Sydney, North Sydney, Australia
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California, Irvine, California, USA
| | - Stephen B Gruber
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, USA
| | - Richard P Gallagher
- British Columbia Cancer and Department of Dermatology and Skin Science, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roberto Zanetti
- Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy
| | - Stefano Rosso
- Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy
| | - Lidia Sacchetto
- Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy; Politecnico di Torino, Turin, Italy
| | - Terence Dwyer
- George Institute for Global Health, Nuffield Department of Obstetrics and Gynecology, University of Oxford, Oxford, UK
| | - David W Ollila
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA; Department of Surgery, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Colin B Begg
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, USA
| | - Marianne Berwick
- Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, New Mexico, USA
| | - Kathleen Conway
- Department of Dermatology, University of North Carolina, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
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Zhang T, Choi J, Kovacs MA, Shi J, Xu M, Goldstein AM, Trower AJ, Bishop DT, Iles MM, Duffy DL, MacGregor S, Amundadottir LT, Law MH, Loftus SK, Pavan WJ, Brown KM. Cell-type-specific eQTL of primary melanocytes facilitates identification of melanoma susceptibility genes. Genome Res 2018; 28:1621-1635. [PMID: 30333196 PMCID: PMC6211648 DOI: 10.1101/gr.233304.117] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 09/21/2018] [Indexed: 12/18/2022]
Abstract
Most expression quantitative trait locus (eQTL) studies to date have been performed in heterogeneous tissues as opposed to specific cell types. To better understand the cell-type-specific regulatory landscape of human melanocytes, which give rise to melanoma but account for <5% of typical human skin biopsies, we performed an eQTL analysis in primary melanocyte cultures from 106 newborn males. We identified 597,335 cis-eQTL SNPs prior to linkage disequilibrium (LD) pruning and 4997 eGenes (FDR < 0.05). Melanocyte eQTLs differed considerably from those identified in the 44 GTEx tissue types, including skin. Over a third of melanocyte eGenes, including key genes in melanin synthesis pathways, were unique to melanocytes compared to those of GTEx skin tissues or TCGA melanomas. The melanocyte data set also identified trans-eQTLs, including those connecting a pigmentation-associated functional SNP with four genes, likely through cis-regulation of IRF4 Melanocyte eQTLs are enriched in cis-regulatory signatures found in melanocytes as well as in melanoma-associated variants identified through genome-wide association studies. Melanocyte eQTLs also colocalized with melanoma GWAS variants in five known loci. Finally, a transcriptome-wide association study using melanocyte eQTLs uncovered four novel susceptibility loci, where imputed expression levels of five genes (ZFP90, HEBP1, MSC, CBWD1, and RP11-383H13.1) were associated with melanoma at genome-wide significant P-values. Our data highlight the utility of lineage-specific eQTL resources for annotating GWAS findings, and present a robust database for genomic research of melanoma risk and melanocyte biology.
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Affiliation(s)
- Tongwu Zhang
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Jiyeon Choi
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Michael A Kovacs
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Jianxin Shi
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Mai Xu
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Alisa M Goldstein
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Adam J Trower
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, United Kingdom
| | - D Timothy Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, United Kingdom
| | - Mark M Iles
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, United Kingdom
| | - David L Duffy
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia
| | - Laufey T Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia
| | - Stacie K Loftus
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - William J Pavan
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Kevin M Brown
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
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36
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Bradbury C, Köttgen A, Staubach F. Off-target phenotypes in forensic DNA phenotyping and biogeographic ancestry inference: A resource. Forensic Sci Int Genet 2018; 38:93-104. [PMID: 30391626 DOI: 10.1016/j.fsigen.2018.10.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 08/27/2018] [Accepted: 10/13/2018] [Indexed: 01/04/2023]
Abstract
With recent advances in DNA sequencing technologies it has become feasible and cost effective to genotype larger marker sets for forensic purposes. Two technologies that make use of the larger marker sets have come into focus in forensic research and applications; inference of biogeographic ancestry (BGA) and forensic DNA phenotyping (FDP). These methods hold the promise to reveal information about a yet unknown perpetrator from a DNA sample. In contrast, DNA-profiling, that is a standard practice in case work, relies on matching DNA-profiles between crime scene material and suspects on a database of DNA-profiles. Markers for DNA-profiling were developed under the premise to reveal as little additional information about the human source of the profile as possible, the rationale being that personal privacy rights have to be balanced against the public interest in solving a crime. The same argument holds for markers used in BGA and FDP; these markers might also reveal information on off-target phenotypes (OTPs), that go beyond BGA and the phenotypes targeted in FDP. In particular, health related OTPs might shift the balance between privacy protection and public interest. However, to our knowledge, there is currently no convenient resource available to incorporate knowledge on OTPs in BGA and FDP assay design and application. In order to provide such a resource, we performed a systematic search for OTPs associated with a comprehensive set of markers (1766 SNPs) used or suggested to be used for BGA inference and FDP. In this set, we identified a relatively small number of 27 SNPs (1.53%) that convey information on diverse health related OTPs such as cancer risk, induced asthma, or risk of alcoholism. Some of these SNPs are commonly used for FDP and BGA across different marker sets. We conclude that the effects of SNP markers used in FDP and BGA on OTPs are currently limited, with few exceptions that should be considered in a balanced decision on assay design and application.
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Affiliation(s)
- Cedric Bradbury
- University College Freiburg, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Dept. of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Fabian Staubach
- Institute of Biology I, Dept. of Evolutionary Biology and Ecology, Albert-Ludwigs-University Freiburg, Freiburg, Germany.
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37
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Choi MR, Shin JM, Shin YA, Chang YH, Chang MY, Lim CA, Sohn KC, Seo YJ, Kim CD, Lee JH, Lee Y. Possible Role of Single Stranded DNA Binding Protein 3 on Skin Hydration by Regulating Epidermal Differentiation. Ann Dermatol 2018; 30:432-440. [PMID: 30065583 PMCID: PMC6029969 DOI: 10.5021/ad.2018.30.4.432] [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: 11/20/2017] [Revised: 03/22/2018] [Accepted: 03/26/2018] [Indexed: 11/08/2022] Open
Abstract
Background Skin hydration is a common problem both in elderly and young people as dry skin may cause irritation, dermatological disorders, and wrinkles. While both genetic and environmental factors seem to influence skin hydration, thorough genetic studies on skin hydration have not yet been conducted. Objective We used a genome-wide association study (GWAS) to explore the genetic elements underlying skin hydration by regulating epidermal differentiation and skin barrier function. Methods A GWAS was conducted to investigate the genetic factors influencing skin hydration in 100 Korean females along with molecular studies of genes in human epidermal keratinocytes for functional study in vitro. Results Among several single nucleotide polymorphisms identified in GWAS, we focused on Single Stranded DNA Binding Protein 3 (SSBP3) which is associated with DNA replication and DNA damage repair. To better understand the role of SSBP3 in skin cells, we introduced a calcium-induced differentiation keratinocyte culture system model and found that SSBP3 was upregulated in keratinocytes in a differentiation dependent manner. When SSBP3 was overexpressed using a recombinant adenovirus, the expression of differentiation-related genes such as loricrin and involucrin was markedly increased. Conclusion Taken together, our results suggest that genetic variants in the intronic region of SSBP3 could be determinants in skin hydration of Korean females. SSBP3 represents a new candidate gene to evaluate the molecular basis of the hydration ability in individuals.
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Affiliation(s)
- Mi-Ra Choi
- Department of Dermatology, College of Medicine, Chungnam National University, Daejeon, Korea
| | - Jung-Min Shin
- Department of Dermatology, College of Medicine, Chungnam National University, Daejeon, Korea
| | | | | | - Min-Youl Chang
- Department of Bio-Cosmetic Science, Seowon University, Cheongju, Korea
| | - Cho-Ah Lim
- Department of Dermatology, College of Medicine, Chungnam National University, Daejeon, Korea
| | - Kyung-Cheol Sohn
- Department of Dermatology, College of Medicine, Chungnam National University, Daejeon, Korea
| | - Young-Joon Seo
- Department of Dermatology, College of Medicine, Chungnam National University, Daejeon, Korea
| | - Chang-Deok Kim
- Department of Dermatology, College of Medicine, Chungnam National University, Daejeon, Korea
| | - Jeung-Hoon Lee
- Department of Dermatology, College of Medicine, Chungnam National University, Daejeon, Korea
| | - Young Lee
- Department of Dermatology, College of Medicine, Chungnam National University, Daejeon, Korea
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38
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Aponte JL, Chiano MN, Yerges-Armstrong LM, Hinds DA, Tian C, Gupta A, Guo C, Fraser DJ, Freudenberg JM, Rajpal DK, Ehm MG, Waterworth DM. Assessment of rosacea symptom severity by genome-wide association study and expression analysis highlights immuno-inflammatory and skin pigmentation genes. Hum Mol Genet 2018; 27:2762-2772. [PMID: 29771307 PMCID: PMC6822543 DOI: 10.1093/hmg/ddy184] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 05/07/2018] [Accepted: 05/09/2018] [Indexed: 01/09/2023] Open
Abstract
Rosacea is a common, chronic skin disease of variable severity with limited treatment options. The cause of rosacea is unknown, but it is believed to be due to a combination of hereditary and environmental factors. Little is known about the genetics of the disease. We performed a genome-wide association study (GWAS) of rosacea symptom severity with data from 73 265 research participants of European ancestry from the 23andMe customer base. Seven loci had variants associated with rosacea at the genome-wide significance level (P < 5 × 10-8). Further analyses highlighted likely gene regions or effector genes including IRF4 (P = 1.5 × 10-17), a human leukocyte antigen (HLA) region flanked by PSMB9 and HLA-DMB (P = 2.2 × 10-15), HERC2-OCA2 (P = 4.2 × 10-12), SLC45A2 (P = 1.7 × 10-10), IL13 (P = 2.8 × 10-9), a region flanked by NRXN3 and DIO2 (P = 4.1 × 10-9), and a region flanked by OVOL1and SNX32 (P = 1.2 × 10-8). All associations with rosacea were novel except for the HLA locus. Two of these loci (HERC-OCA2 and SLC45A2) and another precedented variant (rs1805007 in melanocortin 1 receptor) with an association P value just below the significance threshold (P = 1.3 × 10-7) have been previously associated with skin phenotypes and pigmentation, two of these loci are linked to immuno-inflammation phenotypes (IL13 and PSMB9-HLA-DMA) and one has been associated with both categories (IRF4). Genes within three loci (PSMB9-HLA-DMA, HERC-OCA2 and NRX3-DIO2) were differentially expressed in a previously published clinical rosacea transcriptomics study that compared lesional to non-lesional samples. The identified loci provide specificity of inflammatory mechanisms in rosacea, and identify potential pathways for therapeutic intervention.
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Affiliation(s)
- Jennifer L Aponte
- Genomic Medicine, PAREXEL International, Research Triangle Park, NC, USA
| | | | | | | | - Chao Tian
- 23andMe Inc., Mountain View, CA, USA
| | - Akanksha Gupta
- Translational Science, Dermatology, GlaxoSmithKline, Research Triangle Park, NC, USA
| | - Cong Guo
- Target Sciences, GlaxoSmithKline, Collegeville, PA, USA
| | - Dana J Fraser
- Genomic Medicine, PAREXEL International, Research Triangle Park, NC, USA
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39
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Zhou L, Zhao F. Prioritization and functional assessment of noncoding variants associated with complex diseases. Genome Med 2018; 10:53. [PMID: 29996888 PMCID: PMC6042373 DOI: 10.1186/s13073-018-0565-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 06/29/2018] [Indexed: 12/11/2022] Open
Abstract
Unraveling functional noncoding variants associated with complex diseases is still a great challenge. We present a novel algorithm, Prioritization And Functional Assessment (PAFA), that prioritizes and assesses the functionality of genetic variants by introducing population differentiation measures and recalibrating training variants. Comprehensive evaluations demonstrate that PAFA exhibits much higher sensitivity and specificity in prioritizing noncoding risk variants than existing methods. PAFA achieves improved performance in distinguishing both common and rare recurrent variants from non-recurrent variants by integrating multiple annotations and metrics. An integrated platform was developed, providing comprehensive functional annotations for noncoding variants by integrating functional genomic data, which can be accessed at http://159.226.67.237:8080/pafa .
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Affiliation(s)
- Lin Zhou
- Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fangqing Zhao
- Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
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40
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Visconti A, Duffy DL, Liu F, Zhu G, Wu W, Chen Y, Hysi PG, Zeng C, Sanna M, Iles MM, Kanetsky PA, Demenais F, Hamer MA, Uitterlinden AG, Ikram MA, Nijsten T, Martin NG, Kayser M, Spector TD, Han J, Bataille V, Falchi M. Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure. Nat Commun 2018; 9:1684. [PMID: 29739929 PMCID: PMC5940788 DOI: 10.1038/s41467-018-04086-y] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 04/03/2018] [Indexed: 12/03/2022] Open
Abstract
The skin’s tendency to sunburn rather than tan is a major risk factor for skin cancer. Here we report a large genome-wide association study of ease of skin tanning in 176,678 subjects of European ancestry. We identify significant association with tanning ability at 20 loci. We confirm previously identified associations at six of these loci, and report 14 novel loci, of which ten have never been associated with pigmentation-related phenotypes. Our results also suggest that variants at the AHR/AGR3 locus, previously associated with cutaneous malignant melanoma the underlying mechanism of which is poorly understood, might act on disease risk through modulation of tanning ability. The skin’s tanning response to sun exposure shows great interindividual variability. Here, Visconti et al. perform a genome-wide association study for ease of skin tanning and identify 20 genetic loci, ten of which had not previously been associated with pigmentation-related traits.
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Affiliation(s)
- Alessia Visconti
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - David L Duffy
- QIMR Berghofer Medical Research Institute, Brisbane, 4029, Australia
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China.,Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, 4029, Australia
| | - Wenting Wu
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin & Bren Simon Cancer Center, Indiana University, Indianapolis, 46202, IN, USA
| | - Yan Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Pirro G Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Changqing Zeng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Marianna Sanna
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Mark M Iles
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, UK
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, 33612, FL, USA
| | - Florence Demenais
- INSERM, UMR 946, Genetic Variation and Human Diseases Unit, Paris, 75010, France.,Institut Universitaire d'Hématologie, Université Paris Diderot, Sorbonne Paris Cité, Paris, 75010, France
| | - Merel A Hamer
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
| | - Andre G Uitterlinden
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands.,Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, 4029, Australia
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Jiali Han
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin & Bren Simon Cancer Center, Indiana University, Indianapolis, 46202, IN, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, 02115, MA, USA
| | - Veronique Bataille
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK.,Department of Dermatology, West Herts NHS Trust, Herts, HP2 4AD, UK
| | - Mario Falchi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
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41
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Hysi PG, Valdes AM, Liu F, Furlotte NA, Evans DM, Bataille V, Visconti A, Hemani G, McMahon G, Ring SM, Smith GD, Duffy DL, Zhu G, Gordon SD, Medland SE, Lin BD, Willemsen G, Jan Hottenga J, Vuckovic D, Girotto G, Gandin I, Sala C, Concas MP, Brumat M, Gasparini P, Toniolo D, Cocca M, Robino A, Yazar S, Hewitt AW, Chen Y, Zeng C, Uitterlinden AG, Ikram MA, Hamer MA, van Duijn CM, Nijsten T, Mackey DA, Falchi M, Boomsma DI, Martin NG, Hinds DA, Kayser M, Spector TD. Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability. Nat Genet 2018; 50:652-656. [PMID: 29662168 PMCID: PMC5935237 DOI: 10.1038/s41588-018-0100-5] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2016] [Accepted: 03/07/2018] [Indexed: 12/30/2022]
Abstract
Hair color is one of the most recognizable visual traits in European populations and is under strong genetic control. Here we report the results of a genome-wide association study meta-analysis of almost 300,000 participants of European descent. We identified 123 autosomal and one X-chromosome loci significantly associated with hair color; all but 13 are novel. Collectively, single-nucleotide polymorphisms associated with hair color within these loci explain 34.6% of red hair, 24.8% of blond hair, and 26.1% of black hair heritability in the study populations. These results confirm the polygenic nature of complex phenotypes and improve our understanding of melanin pigment metabolism in humans.
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Affiliation(s)
- Pirro G Hysi
- King's College London Department of Twins Research and Genetic Epidemiology, London, UK
- Department of Ophthalmology, King's College London, London, UK
| | - Ana M Valdes
- King's College London Department of Twins Research and Genetic Epidemiology, London, UK
- Division of Rheumatology, Orthopaedics and Dermatology, School of Medicine, University of Nottingham, Nottingham, UK
- Nottingham NIHR Biomedical Research Centre, Nottingham, United Kingdom
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, PR China
- University of Chinese Academy of Sciences, Beijing, PR China
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - David M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Veronique Bataille
- King's College London Department of Twins Research and Genetic Epidemiology, London, UK
| | - Alessia Visconti
- King's College London Department of Twins Research and Genetic Epidemiology, London, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - George McMahon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | | | - David L Duffy
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Scott D Gordon
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Bochao D Lin
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Gonneke Willemsen
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Jouke Jan Hottenga
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Dragana Vuckovic
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Giorgia Girotto
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Ilaria Gandin
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Cinzia Sala
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Maria Pina Concas
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Marco Brumat
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Paolo Gasparini
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Faffaele Research Institute, Milano, Italy
| | - Massimiliano Cocca
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Antonietta Robino
- Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste, Italy
| | - Seyhan Yazar
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, WA, Australia
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, UK
| | - Alex W Hewitt
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, WA, Australia
- Centre for Eye Research Australia, University of Melbourne, Department of Ophthalmology, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, Australia
| | - Yan Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, PR China
- University of Chinese Academy of Sciences, Beijing, PR China
| | - Changqing Zeng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, PR China
| | - Andre G Uitterlinden
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Merel A Hamer
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - David A Mackey
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, WA, Australia
- Centre for Eye Research Australia, University of Melbourne, Department of Ophthalmology, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, Australia
| | - Mario Falchi
- King's College London Department of Twins Research and Genetic Epidemiology, London, UK
| | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | | | | | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Timothy D Spector
- King's College London Department of Twins Research and Genetic Epidemiology, London, UK.
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42
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Newman V, Moore B, Sparrow H, Perry E. The Ensembl Genome Browser: Strategies for Accessing Eukaryotic Genome Data. Methods Mol Biol 2018; 1757:115-139. [PMID: 29761458 DOI: 10.1007/978-1-4939-7737-6_6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The Ensembl Genome Browser provides a wealth of freely available genomic data that can be accessed for many purposes by genetics, genomics, and molecular biology researchers. Herein we present two protocols for exploring different aspects of these data: a phenotype and its associated variants and genes, and a promoter and the epigenetic marks and protein-binding activity associated with it. These workflows illustrate a subset of the data types available through the Ensembl Browser, and can be considered a springboard for further exploration.
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Affiliation(s)
- Victoria Newman
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Benjamin Moore
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Helen Sparrow
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Emily Perry
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK.
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43
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Abstract
We identified the genetic variants for eye color by Genome-Wide Association Study (GWAS) in a Dutch Caucasian family-based population sample and examined the genetic correlation between hair and eye color using data from unrelated participants from the Netherlands Twin Register. With the Genome-wide Complex Trait Analysis software package, we found strong genetic correlations between various combinations of hair and eye colors. The strongest positive correlations were found for blue eyes with blond hair (0.87) and brown eyes with dark hair (0.71), whereas blue eyes with dark hair and brown eyes with blond hair showed the strongest negative correlations (-0.64 and -0.94, respectively). Red hair with green/hazel eyes showed the weakest correlation (-0.14). All analyses were corrected for age and sex, and we explored the effects of correcting for principal components (PCs) that represent ancestry and describe the genetic stratification of the Netherlands. When including the first three PCs as covariates, the genetic correlations between the phenotypes disappeared. This is not unexpected since hair and eye colors strongly indicate the ancestry of an individual. This makes it difficult to separate the effects of population stratification and the true genetic effects of variants on these particular phenotypes.
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44
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Song X, Xu C, Liu Z, Yue Z, Liu L, Yang T, Cong B, Yang F. Comparative Transcriptome Analysis of Mink (Neovison vison) Skin Reveals the Key Genes Involved in the Melanogenesis of Black and White Coat Colour. Sci Rep 2017; 7:12461. [PMID: 28963476 PMCID: PMC5622100 DOI: 10.1038/s41598-017-12754-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 09/14/2017] [Indexed: 11/24/2022] Open
Abstract
Farmed mink (Neovison vison) is one of the most important fur-bearing species worldwide, and coat colour is a crucial qualitative characteristic that contributes to the economic value of the fur. To identify additional genes that may play important roles in coat colour regulation, Illumina/Solexa high-throughput sequencing technology was used to catalogue the global gene expression profiles in mink skin with two different coat colours (black and white). RNA-seq analysis indicated that a total of 12,557 genes were differentially expressed in black versus white minks, with 3,530 genes up-regulated and 9,027 genes down-regulated in black minks. Significant differences were not observed in the expression of MC1R and TYR between the two different coat colours, and the expression of ASIP was not detected in the mink skin of either coat colour. The expression levels of KITLG, LEF1, DCT, TYRP1, PMEL, Myo5a, Rab27a and SLC7A11 were validated by qRT-PCR, and the results were consistent with RNA-seq analysis. This study provides several candidate genes that may be associated with the development of two coat colours in mink skin. These results will expand our understanding of the complex molecular mechanisms underlying skin physiology and melanogenesis in mink and will provide a foundation for future studies.
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Affiliation(s)
- Xingchao Song
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Chao Xu
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Zongyue Liu
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Zhigang Yue
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Linling Liu
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Tongao Yang
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Bo Cong
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Fuhe Yang
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
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45
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Wei L, Allain DC, Bernhardt MN, Gillespie JL, Peters SB, Iwenofu OH, Nelson HH, Arron ST, Toland AE. Variants at the OCA2/HERC2 locus affect time to first cutaneous squamous cell carcinoma in solid organ transplant recipients collected using two different study designs. Br J Dermatol 2017; 177:1066-1073. [PMID: 28456133 DOI: 10.1111/bjd.15618] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/18/2017] [Indexed: 12/01/2022]
Abstract
BACKGROUND Variants at the oculocutaneous albinism 2 (OCA2)/HECT and RLD domain containing E3 ubiquitin protein ligase 2 (HERC2) locus have been associated with pigmentation phenotypes and risk of developing several types of skin cancer. OBJECTIVES To evaluate OCA2/HERC2 locus variants for their impact on time to develop cutaneous squamous cell carcinoma (cSCC) in organ transplant recipients (OTRs) who are at elevated risk of developing cSCC. METHODS Participants were solid OTRs ascertained from two centres (n = 125 and 261) with an average of 13·1 years of follow-up post-transplant. DNA was available for genotyping for all participants, in addition to medical records and questionnaire data. The Ohio State University study had a case-control design with prospective follow-up, and the University of California San Francisco study was a national cross-sectional survey with retrospective chart review. RESULTS OCA2 variants rs12913832 and rs916977 were significantly associated with time to first cSCC post-transplant. OTRs homozygous for the brown-eye alleles of rs916977 (GG) and rs12913832 (AA) had significant delays of time to first cSCC post-transplant compared with individuals homozygous for the blue-eye alleles (hazard ratio 0·34, P < 0·001 and hazard ratio 0·54, P = 0·012, respectively). Both variants were highly associated with eye colour in the combined studies (P < 0·001). CONCLUSIONS This study is the first to show an association between OCA2/HERC2 variants and time to first cSCC post-transplant. This may impact dermatological screening recommendations for high-risk populations.
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Affiliation(s)
- L Wei
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University Wexner Medical Center, Columbus, OH, U.S.A
| | - D C Allain
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University Wexner Medical Center, Columbus, OH, U.S.A
| | - M N Bernhardt
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University Wexner Medical Center, Columbus, OH, U.S.A
| | - J L Gillespie
- Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, U.S.A
| | - S B Peters
- Department of Pathology, Division of Dermatopathology, The Ohio State University Wexner Medical Center, Columbus, OH, U.S.A
| | - O H Iwenofu
- Department of Pathology and Laboratory Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, U.S.A
| | - H H Nelson
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, U.S.A.,Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, U.S.A
| | - S T Arron
- Department of Dermatology, University of California San Francisco, San Francisco, CA, U.S.A
| | - A E Toland
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University Wexner Medical Center, Columbus, OH, U.S.A.,Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, U.S.A
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46
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Genome-Wide Association Shows that Pigmentation Genes Play a Role in Skin Aging. J Invest Dermatol 2017; 137:1887-1894. [DOI: 10.1016/j.jid.2017.04.026] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Revised: 04/05/2017] [Accepted: 04/24/2017] [Indexed: 01/27/2023]
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47
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Dey R, Schmidt EM, Abecasis GR, Lee S. A Fast and Accurate Algorithm to Test for Binary Phenotypes and Its Application to PheWAS. Am J Hum Genet 2017; 101:37-49. [PMID: 28602423 DOI: 10.1016/j.ajhg.2017.05.014] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 05/17/2017] [Indexed: 12/19/2022] Open
Abstract
The availability of electronic health record (EHR)-based phenotypes allows for genome-wide association analyses in thousands of traits and has great potential to enable identification of genetic variants associated with clinical phenotypes. We can interpret the phenome-wide association study (PheWAS) result for a single genetic variant by observing its association across a landscape of phenotypes. Because a PheWAS can test thousands of binary phenotypes, and most of them have unbalanced or often extremely unbalanced case-control ratios (1:10 or 1:600, respectively), existing methods cannot provide an accurate and scalable way to test for associations. Here, we propose a computationally fast score-test-based method that estimates the distribution of the test statistic by using the saddlepoint approximation. Our method is much (∼100 times) faster than the state-of-the-art Firth's test. It can also adjust for covariates and control type I error rates even when the case-control ratio is extremely unbalanced. Through application to PheWAS data from the Michigan Genomics Initiative, we show that the proposed method can control type I error rates while replicating previously known association signals even for traits with a very small number of cases and a large number of controls.
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Affiliation(s)
- Rounak Dey
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ellen M Schmidt
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Goncalo R Abecasis
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Seunggeun Lee
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
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48
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Lim S, Youn JP, Hong S, Choi D, Moon S, Kim W, Han M, Hwang SY. Customized multiplexing SNP panel for Korean-specific DNA phenotyping in forensic applications. Genes Genomics 2017. [DOI: 10.1007/s13258-016-0509-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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49
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Deng L, Xu S. Adaptation of human skin color in various populations. Hereditas 2017; 155:1. [PMID: 28701907 PMCID: PMC5502412 DOI: 10.1186/s41065-017-0036-2] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 06/02/2017] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Skin color is a well-recognized adaptive trait and has been studied extensively in humans. Understanding the genetic basis of adaptation of skin color in various populations has many implications in human evolution and medicine. DISCUSSION Impressive progress has been made recently to identify genes associated with skin color variation in a wide range of geographical and temporal populations. In this review, we discuss what is currently known about the genetics of skin color variation. We enumerated several cases of skin color adaptation in global modern humans and archaic hominins, and illustrated why, when, and how skin color adaptation occurred in different populations. Finally, we provided a summary of the candidate loci associated with pigmentation, which could be a valuable reference for further evolutionary and medical studies. CONCLUSION Previous studies generally indicated a complex genetic mechanism underlying the skin color variation, expanding our understanding of the role of population demographic history and natural selection in shaping genetic and phenotypic diversity in humans. Future work is needed to dissect the genetic architecture of skin color adaptation in numerous ethnic minority groups around the world, which remains relatively obscure compared with that of major continental groups, and to unravel the exact genetic basis of skin color adaptation.
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Affiliation(s)
- Lian Deng
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031 China.,University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Shuhua Xu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031 China.,University of Chinese Academy of Sciences, Beijing, 100049 China.,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210 China.,Collaborative Innovation Center of Genetics and Development, Shanghai, 200438 China
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50
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Lin Y, Chahal HS, Wu W, Cho HG, Ransohoff KJ, Song F, Tang JY, Sarin KY, Han J. Association study of genetic variation in DNA repair pathway genes and risk of basal cell carcinoma. Int J Cancer 2017; 141:952-957. [PMID: 28510302 DOI: 10.1002/ijc.30786] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Accepted: 05/03/2017] [Indexed: 12/25/2022]
Abstract
DNA repair plays a critical role in protecting the genome from ultraviolet radiation and maintaining the genomic integrity of cells. Genetic variants in DNA repair-related genes can influence an individual's DNA repair capacity, which may be related to the risk of developing basal cell carcinoma (BCC). We comprehensively assessed the associations of 2,965 independent single-nucleotide polymorphisms (SNPs) across 165 DNA repair pathway genes with BCC risk in a genome-wide association meta-analysis totaling 17,187 BCC cases and 287,054 controls from two data sets. After multiple testing corrections, we identified three SNPs (rs2805831 upstream of XPA: OR = 0.93, P = 1.35 × 10-6 ; rs659857 in exon of MUS81: OR = 1.06, P = 3.09 × 10-6 and rs57343616 in 3' UTR of NABP2: OR = 1.11, P = 6.47 × 10-6 ) as significantly associated with BCC risk in meta-analysis, and all of them were nominally significant in both data sets. Furthermore, rs659857 [T] was significantly associated with decreased expression of MUS81 mRNA in the expression quantitative trait locus (eQTL) analysis. Our findings suggest that the inherited common variation in three DNA repair genes-XPA, MUS81 and NABP2-may be involved in the development of BCC. To our knowledge, our study is the first report thoroughly examining the effects of SNPs across DNA repair pathway genes on BCC risk based on a genome-wide association meta-analysis.
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Affiliation(s)
- Yuan Lin
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin & Bren Simon Cancer Center, Indiana University, Indianapolis, IN
| | - Harvind S Chahal
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA
| | - Wenting Wu
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin & Bren Simon Cancer Center, Indiana University, Indianapolis, IN
| | - Hyunje G Cho
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA
| | | | - Fengju Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Jean Y Tang
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA
| | - Kavita Y Sarin
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA
| | - Jiali Han
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin & Bren Simon Cancer Center, Indiana University, Indianapolis, IN
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