Revealed: The Genetic Basis of 13 Pigment Traits and Their Relationship with Diseases
Genetic analyses revealed 37 risk loci associated with most pigmentary traits, from which 16 genes significantly associated with at least two pigmentary traits.
Researchers have uncovered the genetic basis of 13 pigment traits and their association with diseases.
Using the GCAT cohort, researchers built a comprehensive analysis strategy leading to the identification of phototype associated-diseases in a total of nearly 20,000 Catalan subjects and exploring 177 ICD-9 diagnoses. In addition, genome-wide analysis of more than 10M variants, including structural variants across pigmentary traits, using polygenic risk scores, identified two new regulatory genes involved in skin colour and revealed shared genetics among diseases and pigmentation determinants.
“We observed that a fair skin phototype is strongly associated with non-melanoma skin cancer and other dermatoses and confirmed by PRS-approach the shared genetic basis with some skin and eye diseases, such as melanoma, non-melanoma skin cancer, basal cell carcinoma. On another note, a darker phototype associated with vitiligo and cataracts. The study also identified a link with obesity and hypertension” says study author Rafael de Cid, PhD, a group leader at the GenomesForLife-GCAT Laboratory at The Germans Trias i Pujol Research Institute (IGTP), in a news release.
Genetic analyses revealed 37 risk loci associated with most pigmentary traits, from which 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 three new candidates (C1QTNF3, C1QTNF3-AMACR, and LINC02876) with regulatory potential were unveiled: a long non-coding RNA (LINC02876) and non-sense mediated decay mRNA (NMD)(C1QTNF3-AMACR), defining a putative complex hotspot locus for the fine-regulation of the pigmentary traits.
This study unveils the genetic basis of pigmentary traits in the GCAT cohort, being the largest South European population analyzed so far, extending previous work conducted in mostly in Caucasian ancestry cohorts from North Europe, and including a broader spectrum of diseases than previous studies. "Our results highlight the importance of incorporating population information to adapt personalized care approaches to manage differential risk in general population, being of great importance in modern mixed populations. Skin color genetics, as a proxy of skin functionality, could help disease screening in mixed populations,” says de Cid.
Further research taking on multi-ancestry cohorts will be able to draw definitive conclusions about the association between pigmentary characteristics and the prevalence of diseases in different populations.
The work study is published in Genes.