Skip to main content

Advertisement

SpringerLink
Log in

Complex segregation analysis of facial melasma in Brazil: evidence for a genetic susceptibility with a dominant pattern of segregation

  • Concise Communication
  • Published:
Archives of Dermatological Research Aims and scope Submit manuscript

Abstract

Despite high prevalence, the etiopathology of melasma is not fully understood. Nevertheless, many factors have been associated with the disease, including: sun exposure, sex steroids hormones, drugs, stress, and pregnancy. The high occurrence within familiars (40–60%) suggests a genetic predisposition to the disease. This study explored, through complex segregation analysis (CSA), the inheritance model that best fit the family segregation pattern of facial melasma when accounting for the main epidemiological risk factors. We evaluated 686 subjects from 67 families, and 260 (38%) of them had facial melasma. The CSA model, adjusted for age, skin phototype, sex, sun exposure at work, hormonal oral contraceptive, and pregnancy, evidenced a genetic component that was best fitted to a dominant pattern of segregation. Melasma results from an interaction between exposure factors (e.g. pregnancy, hormones, and sun exposure) over genetically predisposed individuals.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Abbreviations

UNESP:

Universidade Estadual Paulista Júlio de Mesquita Filho

HOC:

Hormonal oral contraception

CSA:

Complex segregation analysis

OR:

Odds ratio

IC 95%:

95% confidence interval

References

  1. Ishiy PS, Silva LR, Penha MA, Handel AC, Miot HA (2014) Skin diseases reported by workers from UNESP campus at Rubiao Jr, Botucatu-SP (Brazil). An Bras Dermatol 89:529–531

    Article  Google Scholar 

  2. Miguel LMZ, Jorge MFS, Rocha B, Miot HA (2017) Incidence of skin diseases diagnosed in a public institution: comparison between 2003 and 2014. An Bras Dermatol 92:423–425

    Article  Google Scholar 

  3. Tamega Ade A, Miot LD, Bonfietti C et al (2013) Clinical patterns and epidemiological characteristics of facial melasma in Brazilian women. J Eur Acad Dermatol Venereol 27:151–156

    Article  Google Scholar 

  4. Freitag FM, Cestari TF, Leopoldo LR, Paludo P, Boza JC (2008) Effect of melasma on quality of life in a sample of women living in southern Brazil. J Eur Acad Dermatol Venereol 22:655–662

    Article  CAS  Google Scholar 

  5. Pollo CF, Miot LDB, Meneguin S, Miot HA (2018) Factors associated with quality of life in facial melasma: a cross-sectional study. Int J Cosmet Sci 40:313–316

    Article  Google Scholar 

  6. Maranzatto CF, Miot HA, Miot LD, Meneguin S (2016) Psychometrican analysis and dimensional structure of the Brazilian version of melasma quality of life scale (MELASQoL-BP). An Bras Dermatol 91:422–428

    Article  Google Scholar 

  7. Handel AC, Lima PB, Tonolli VM, Miot LD, Miot HA (2014) Risk factors for facial melasma in women: a case-control study. Br J Dermatol 171:588–594

    Article  CAS  Google Scholar 

  8. D’Elia MP, Brandao MC, de Andrade Ramos BR et al (2017) African ancestry is associated with facial melasma in women: a cross-sectional study. BMC Med Genet 18:17

    Article  Google Scholar 

  9. Jarvik GP (1998) Complex segregation analyses: uses and limitations. Am J Hum Genet 63:942–946

    Article  CAS  Google Scholar 

  10. Katz MH (2011) Multivariable analysis: a practical guide for clinicians and public health researchers. Cambridge University Press, Cambridge

    Book  Google Scholar 

  11. Miot HA (2017) Assessing normality of data in clinical and experimental trials. J Vasc Bras 16:88–91

    Article  Google Scholar 

  12. Norman GR, Streiner DL (2014) Biostatistics. The bare essentials, 4th edn. People’s Medical Publishing House, Shelton

    Google Scholar 

  13. Chung BY, Noh TK, Yang SH et al (2014) Gene expression profiling in melasma in Korean women. Dermatology 229:333–342

    Article  CAS  Google Scholar 

  14. Kim NH, Choi SH, Lee TR, Lee CH, Lee AY (2014) Cadherin 11, a miR-675 target, induces N-cadherin expression and epithelial–mesenchymal transition in melasma. J Investig Dermatol 134:2967–2976

    Article  CAS  Google Scholar 

  15. Miot LD, Miot HA, Polettini J, Silva MG, Marques ME (2010) Morphologic changes and the expression of alpha-melanocyte stimulating hormone and melanocortin-1 receptor in melasma lesions: a comparative study. Am J Dermatopathol 32:676–682

    Article  Google Scholar 

  16. Passeron T, Picardo M (2018) Melasma, a photoaging disorder. Pigment Cell Melanoma Res 31:461–465

    Article  Google Scholar 

  17. Tamega Ade A, Miot HA, Moco NP et al (2015) Gene and protein expression of oestrogen-beta and progesterone receptors in facial melasma and adjacent healthy skin in women. Int J Cosmet Sci 37:222–228

    Article  Google Scholar 

  18. Brianezi G, Handel AC, Schmitt JV, Miot LD, Miot HA (2015) Changes in nuclear morphology and chromatin texture of basal keratinocytes in melasma. J Eur Acad Dermatol Venereol 29:809–812

    Article  CAS  Google Scholar 

  19. Lee AY (2015) Recent progress in melasma pathogenesis. Pigment Cell Melanoma Res 28:648–660

    Article  CAS  Google Scholar 

  20. Hexsel D, Lacerda DA, Cavalcante AS et al (2014) Epidemiology of melasma in Brazilian patients: a multicenter study. Int J Dermatol 53:440–444

    Article  Google Scholar 

Download references

Funding

There is no funding source.

Author information

Authors and Affiliations

  1. Departamento de Dermatologia e Radioterapia, SN, FMB-Unesp, Campus de Rubião Jr., Botucatu, SP, CEP 18618-000, Brazil

    Nicole França Holmo, Luciane Donida Bartoli Miot & Hélio Amante Miot

  2. Programa de Pós-Graduação em Ciências da Saúde, Escola de Medicina, Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil

    Geovana Brotto Ramos, Heloisa Salomão & Marcelo Távora Mira

  3. Programa de Pós-Graduação em Odontologia, Escola de Ciências da Vida, Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil

    Renata Iani Werneck

Authors
  1. Nicole França Holmo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Geovana Brotto Ramos
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Heloisa Salomão
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Renata Iani Werneck
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Marcelo Távora Mira
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Luciane Donida Bartoli Miot
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Hélio Amante Miot
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Study design: HAM, NFH, LDB, MM. Data collection and tabulation: HAM, NFH, LDB. Data analysis: HAM, MM, RIW. CSA analysis: GBR, HS, MM, RIW. Paper writing: HAM, NFH, LDB, MM. Final revision and text approval: all authors.

Corresponding author

Correspondence to Hélio Amante Miot.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This project was approved by the Unesp medical School Review Board (No. 476.936).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Holmo, N.F., Ramos, G.B., Salomão, H. et al. Complex segregation analysis of facial melasma in Brazil: evidence for a genetic susceptibility with a dominant pattern of segregation. Arch Dermatol Res 310, 827–831 (2018). https://doi.org/10.1007/s00403-018-1861-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00403-018-1861-5

Keywords

Search

Navigation