A genome-wide association study identifies novel gene associations with facial skin wrinkling and mole count in Latin Americans.


Journal

The British journal of dermatology
ISSN: 1365-2133
Titre abrégé: Br J Dermatol
Pays: England
ID NLM: 0004041

Informations de publication

Date de publication:
11 2021
Historique:
accepted: 04 05 2021
pubmed: 8 5 2021
medline: 15 12 2021
entrez: 7 5 2021
Statut: ppublish

Résumé

Genome-wide association studies (GWASs) have identified genes influencing skin ageing and mole count in Europeans, but little is known about the relevance of these (or other genes) in non-Europeans. To conduct a GWAS for facial skin ageing and mole count in adults < 40 years old, of mixed European, Native American and African ancestry, recruited in Latin America. Skin ageing and mole count scores were obtained from facial photographs of over 6000 individuals. After quality control checks, three wrinkling traits and mole count were retained for genetic analyses. DNA samples were genotyped with Illumina's HumanOmniExpress chip. Association testing was performed on around 8 703 729 single-nucleotide polymorphisms (SNPs) across the autosomal genome. Genome-wide significant association was observed at four genome regions: two were associated with wrinkling (in 1p13·3 and 21q21·2), one with mole count (in 1q32·3) and one with both wrinkling and mole count (in 5p13·2). Associated SNPs in 5p13·2 and in 1p13·3 are intronic within SLC45A2 and VAV3, respectively, while SNPs in 1q32·3 are near the SLC30A1 gene, and those in 21q21·2 occur in a gene desert. Analyses of SNPs in IRF4 and MC1R are consistent with a role of these genes in skin ageing. We replicate the association of wrinkling with variants in SLC45A2, IRF4 and MC1R reported in Europeans. We identify VAV3 and SLC30A1 as two novel candidate genes impacting on wrinkling and mole count, respectively. We provide the first evidence that SLC45A2 influences mole count, in addition to variants in this gene affecting melanoma risk in Europeans.

Sections du résumé

BACKGROUND
Genome-wide association studies (GWASs) have identified genes influencing skin ageing and mole count in Europeans, but little is known about the relevance of these (or other genes) in non-Europeans.
OBJECTIVES
To conduct a GWAS for facial skin ageing and mole count in adults < 40 years old, of mixed European, Native American and African ancestry, recruited in Latin America.
METHODS
Skin ageing and mole count scores were obtained from facial photographs of over 6000 individuals. After quality control checks, three wrinkling traits and mole count were retained for genetic analyses. DNA samples were genotyped with Illumina's HumanOmniExpress chip. Association testing was performed on around 8 703 729 single-nucleotide polymorphisms (SNPs) across the autosomal genome.
RESULTS
Genome-wide significant association was observed at four genome regions: two were associated with wrinkling (in 1p13·3 and 21q21·2), one with mole count (in 1q32·3) and one with both wrinkling and mole count (in 5p13·2). Associated SNPs in 5p13·2 and in 1p13·3 are intronic within SLC45A2 and VAV3, respectively, while SNPs in 1q32·3 are near the SLC30A1 gene, and those in 21q21·2 occur in a gene desert. Analyses of SNPs in IRF4 and MC1R are consistent with a role of these genes in skin ageing.
CONCLUSIONS
We replicate the association of wrinkling with variants in SLC45A2, IRF4 and MC1R reported in Europeans. We identify VAV3 and SLC30A1 as two novel candidate genes impacting on wrinkling and mole count, respectively. We provide the first evidence that SLC45A2 influences mole count, in addition to variants in this gene affecting melanoma risk in Europeans.

Identifiants

pubmed: 33959940
doi: 10.1111/bjd.20436
doi:

Types de publication

Case Reports Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

988-998

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/I021213/1
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2021 British Association of Dermatologists.

Références

Shuster S, Black MM, McVitie E. The influence of age and sex on skin thickness, skin collagen and density. Br J Dermatol 1975; 93:639-43.
Jacobs LC, Liu F, Bleyen I et␣al. Intrinsic and extrinsic risk factors for sagging eyelids. JAMA Dermatol 2014; 150:836.
Verdier-Sévrain S, Bonté F. Skin hydration: a review on its molecular mechanisms. J Cosmet Dermatol 2007; 6:75-82.
Slominski A, Tobin DJ, Shibahara S, Wortsman J. Melanin pigmentation in mammalian skin and its hormonal regulation. Physiol Rev 2004; 84:1155-228.
Schäfer T, Merkl J, Klemm E et␣al. The epidemiology of nevi and signs of skin aging in the adult general population: results of the KORA-Survey 2000. J Invest Dermatol 2006; 126:1490-6.
Alexis AF, Obioha JO. Ethnicity and aging skin. J Drugs Dermatol 2017; 16:S77-80.
Tobin DJ. Pigmentation and photoaging. Cutan Photoaging 2019; 19:145.
Yaar M, Gilchrest BA. Photoageing: mechanism, prevention and therapy. Br J Dermatol 2007; 157:874-87.
Bulpitt CJ. Why do some people look older than they should? Postgrad Med J 2001; 77:578-81.
Giacomoni PU, Mammone T, Teri M. Gender-linked differences in human skin. J Dermatol Sci 2009; 55:144-9.
Langton AK, Alessi S, Hann M et␣al. Aging in skin of color: disruption to elastic fiber organization is detrimental to skin’s biomechanical function. J Invest Dermatol 2019; 139:779-88.
Campiche R, Trevisan S, Séroul P et␣al. Appearance of aging signs in differently pigmented facial skin by a novel imaging system. J Cosmet Dermatol 2019; 18:614-27.
Langton AK, Hann M, Costello P et␣al. Heterogeneity of fibrillin-rich microfibrils extracted from human skin of diverse ethnicity. J Anat 2020; 237:478-86.
Tobin DJ. Introduction to skin aging. J Tissue Viability 2017; 26:37-46.
Flood KS, Houston NA, Savage KT, Kimball AB. Genetic basis for skin youthfulness. Clin Dermatol 2019; 37:312-19.
Sachs DL, Varani J, Chubb H et␣al. Atrophic and hypertrophic photoaging: clinical, histologic, and molecular features of 2 distinct phenotypes of photoaged skin. J Am Acad Dermatol 2019; 81:480-8.
Le Clerc S, Taing L, Ezzedine K et␣al. A genome-wide association study in Caucasian women points out a putative role of the STXBP5L gene in facial photoaging. J Invest Dermatol 2013; 133:929-35.
Chang ALS, Atzmon G, Bergman A et␣al. Identification of genes promoting skin youthfulness by genome-wide association study. J Invest Dermatol 2014; 134:651-7.
Jacobs LC, Hamer MA, Gunn DA et␣al. A genome-wide association study identifies the skin color genes IRF4, MC1R, ASIP, and BNC2 influencing facial pigmented spots. J Invest Dermatol 2015; 135:1735-42.
Martin AR, Lin M, Granka JM et␣al. An unexpectedly complex architecture for skin pigmentation in Africans. Cell 2017; 171:1340-53.
Sulem P, Gudbjartsson DF, Stacey SN et␣al. Genetic determinants of hair, eye and skin pigmentation in Europeans. Nat Genet 2007; 39:1443-52.
Sulem P, Gudbjartsson DF, Stacey SN et␣al. Two newly identified genetic determinants of pigmentation in Europeans. Nat Genet 2008; 40:835-7.
Duffy DL, Zhu G, Li X et␣al. Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways. Nat Commun 2018; 9:4774.
Laville V, Clerc SL, Ezzedine K et␣al. A genome wide association study identifies new genes potentially associated with eyelid sagging. Exp Dermatol 2019; 28:892-8.
Liu Y, Gao W, Koellmann C et␣al. Genome-wide scan identified genetic variants associated with skin aging in a Chinese female population. J Dermatol Sci 2019; 96:42-9.
Ruiz-Linares A, Adhikari K, Acuña-Alonzo V et␣al. Admixture in Latin America: geographic structure, phenotypic diversity and self-perception of ancestry based on 7,342 individuals. PLOS Genet 2014; 10:e1004572.
Adhikari K, Mendoza-Revilla J, Sohail A et␣al. A GWAS in Latin Americans highlights the convergent evolution of lighter skin pigmentation in Eurasia. Nat Commun 2019; 10:358.
Adhikari K, Fontanil T, Cal S et␣al. A genome-wide association scan in admixed Latin Americans identifies loci influencing facial and scalp hair features. Nat Commun 2016; 7:10815.
Adhikari K, Fuentes-Guajardo M, Quinto-Sánchez M et␣al. A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation. Nat Commun 2016; 7:11616.
Adhikari K, Reales G, Smith AJP et␣al. A genome-wide association study identifies multiple loci for variation in human ear morphology. Nat Commun 2015; 6:7500.
Bonfante B, Faux P, Navarro N et␣al. A GWAS in Latin Americans identifies novel face shape loci, implicating VPS13B and a Denisovan introgressed region in facial variation. Sci Adv 2021; 7:eabc6160.
Vierkötter A, Ranft U, Krämer U et␣al. The SCINEXA: a novel, validated score to simultaneously assess and differentiate between intrinsic and extrinsic skin ageing. J Dermatol Sci 2009; 53:207-11.
Delaneau O, Marchini J. Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel. Nat Commun 2014; 5:3934.
Howie B, Fuchsberger C, Stephens M et␣al. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing. Nat Genet 2012; 44:955-9.
Speed D, Hemani G, Johnson MR, Balding DJ. Improved heritability estimation from genome-wide SNPs. Am J Hum Genet 2012; 91:1011-21.
Speed D, Cai N, Johnson MR et␣al. Re-evaluation of SNP heritability in complex human traits. Nat Genet 2017; 49:986-92.
Purcell S, Neale B, Todd-Brown K et␣al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007; 81:559-75.
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol 1995; 57:289-300.
Willer CJ, Li Y, Abecasis GR. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics 2010; 26:2190-1.
Alexander DH, Novembre J, Lange K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res 2009; 19:1655-64.
Venkatesh S, Maymone MBC, Vashi NA. Aging in skin of color. Clin Dermatol 2019; 37:351-7.
Law MH, Medland SE, Zhu G et␣al. Genome-wide association shows that pigmentation genes play a role in skin aging. J Invest Dermatol 2017; 137:1887-94.
Zalaudek I, Argenziano G, Mordente I et␣al. Nevus type in dermoscopy is related to skin type in white persons. Arch Dermatol 2007; 143:351-6.
Bustelo XR. Vav family exchange factors: an integrated regulatory and functional view. Small GTPases 2014; 5:e973757.
Boesch M, Reimer D, Sopper S et␣al. (Iso-)form matters: differential implication of Vav3 variants in ovarian cancer. Oncologist 2018; 23:757-9.
Menacho-Márquez M, García-Escudero R, Ojeda V et␣al. The rho exchange factors Vav2 and Vav3 favor skin tumor initiation and promotion by engaging extracellular signaling loops. PLOS Biol 2013; 11:e1001615.
Boesch M, Sopper S, Marth C et␣al. Evaluation of Vav3.1 as prognostic marker in endometrial cancer. J Cancer Res Clin Oncol 2018; 144:2067-76.
Lonsdale J, Thomas J, Salvatore M et␣al. The Genotype-Tissue Expression (GTEx) project. Nat Genet 2013; 45:580-5.
Boyle AP, Hong EL, Hariharan M et␣al. Annotation of functional variation in personal genomes using RegulomeDB. Genome Res 2012; 22:1790-7.
Segal D, Ohana E, Besser L et␣al. A role for ZnT-1 in regulating cellular cation influx. Biochem Biophys Res Commun 2004; 323:1145-50.
Bin B-H, Hojyo S, Seo J et␣al. The role of the Slc39a family of zinc transporters in zinc homeostasis in skin. Nutrients 2018; 10:219.
Provinciali M, Pierpaoli E, Bartozzi B, Bernardini G. Zinc induces apoptosis of human melanoma cells, increasing reactive oxygen species, p53 and FAS ligand. Anticancer Res 2015; 35:5309-16.
Capiod T. The need for calcium channels in cell proliferation. Recent Pat Anticancer Drug Discov 2013; 8:4-17.
Roh MR, Eliades P, Gupta S, Tsao H. Genetics of melanocytic nevi. Pigment Cell Melanoma Res 2015; 28:661-72.
Valverde P, Healy E, Jackson I et␣al. Variants of the melanocyte-stimulating hormone receptor gene are associated with red hair and fair skin in humans. Nat Genet 1995; 11:328-30.
Box NF, Wyeth JR, O’Gorman LE et␣al. Characterization of melanocyte stimulating hormone receptor variant alleles in twins with red hair. Hum Mol Genet 1997; 6:1891-7.
Han J, Kraft P, Nan H et␣al. A genome-wide association study identifies novel alleles associated with hair color and skin pigmentation. PLOS Genet 2008; 4:e1000074.
Katsara M-A, Nothnagel M. True colors: a literature review on the spatial distribution of eye and hair pigmentation. Forensic Sci Int Genet 2019; 39:109-18.
Coop G, Pickrell JK, Novembre J et␣al. The role of geography in human adaptation. PLOS Genet 2009; 5:e1000500.
O’Sullivan JDB, Nicu C, Picard M et␣al. The biology of human hair greying. Biol Rev Camb Philos Soc 2021; 96:107-28.
Barrett JH, Iles MM, Harland M et␣al. Genome-wide association study identifies three new melanoma susceptibility loci. Nat Genet 2011; 43:1108-13.
Ransohoff KJ, Wu W, Cho HG et␣al. Two-stage genome-wide association study identifies a novel susceptibility locus associated with melanoma. Oncotarget 2017; 8:17586-92.
Bataille V, Bishop J, Sasieni P et␣al. Risk of cutaneous melanoma in relation to the numbers, types and sites of naevi: a case-control study. Br J Cancer 1996; 73:1605-11.
Gandini S, Sera F, Cattaruzza MS et␣al. Meta-analysis of risk factors for cutaneous melanoma: I. Common and atypical naevi. Eur J Cancer 2005; 41:28-44.
Zouboulis CC, Makrantonaki E, Nikolakis G. When the skin is in the center of interest: an aging issue. Clin Dermatol 2019; 37:296-305.

Auteurs

Y Chen (Y)

Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, China.

M André (M)

UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France.
Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia.

K Adhikari (K)

School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, UK.
Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.

M Blin (M)

UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France.

B Bonfante (B)

UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France.

J Mendoza-Revilla (J)

Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú.
Unit of Human Evolutionary Genetics, Institut Pasteur, Paris, 75015, France.

M Fuentes-Guajardo (M)

Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, 1000000, Chile.

S Palmal (S)

UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France.

J C Chacón-Duque (JC)

Division of Vertebrates and Anthropology, Department of Earth Sciences, Natural History Museum, London, SW7 5BD, UK.

M Hurtado (M)

Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú.

V Villegas (V)

Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú.

V Granja (V)

Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú.

C Jaramillo (C)

GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia.

W Arias (W)

GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia.

R B Lozano (RB)

National Institute of Anthropology and History, Mexico City, MC, 6600, Mexico.
Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, 07745, Germany.

P Everardo-Martínez (P)

National Institute of Anthropology and History, Mexico City, MC, 6600, Mexico.

J Gómez-Valdés (J)

National Institute of Anthropology and History, Mexico City, MC, 6600, Mexico.

H Villamil-Ramírez (H)

Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, MC, 4510, Mexico.

C C S de Cerqueira (CCS)

Scientific Police of São Paulo State, Ourinhos-SP, 19900-109, Brazil.

T Hünemeier (T)

Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, SP, 05508-090, Brazil.

V Ramallo (V)

Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 90040-060, Brazil.
Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, U9129ACD, Argentina.

R Gonzalez-José (R)

Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, U9129ACD, Argentina.

L Schüler-Faccini (L)

Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 90040-060, Brazil.

M-C Bortolini (MC)

Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 90040-060, Brazil.

V Acuña-Alonzo (V)

National Institute of Anthropology and History, Mexico City, MC, 6600, Mexico.

S Canizales-Quinteros (S)

Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, MC, 4510, Mexico.

C Gallo (C)

Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú.

G Poletti (G)

Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 31, Perú.

G Bedoya (G)

GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, 5001000, Colombia.

F Rothhammer (F)

Instituto de Alta Investigación, Universidad de Tarapacá, Arica, 1000000, Chile.

D Balding (D)

Melbourne Integrative Genomics, Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, VIC, 3010, Australia.

D J Tobin (DJ)

The Charles Institute of Dermatology, University College Dublin, Dublin, Ireland.

S Wang (S)

Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institutes for Biological Sciences, University of the Chinese Academy of Sciences, Shanghai, 200031, China.

P Faux (P)

UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France.

A Ruiz-Linares (A)

Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, Shanghai, China.
UMR 7268 ADES, CNRS, Aix-Marseille Université, EFS, Faculté de Médecine Timone, Marseille, 13005, France.
Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, WC1E 6BT, UK.

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