Simultaneous Genotyping of Three Nonsynonymous SNVs, rs1042602, rs1426654, and rs16891982 Involved in Skin Pigmentation by Fluorescent Probe‐Based Melting Curve Analysis
Three nonsynonymous single nucleotide variations (SNVs), rs1042602 in TYR (p.S192Y), rs1426654 in SLC24A5 (p.A111T), and rs16891982 in SLC45A2 (p.L374F), were associated with human skin pigmentation variation and may have recently undergone positive natural selection. Furthermore, these three SNVs h...
Saved in:
Published in | Human mutation Vol. 2025; no. 1; p. 3468799 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
John Wiley & Sons, Inc
01.01.2025
Wiley |
Subjects | |
Online Access | Get full text |
ISSN | 1059-7794 1098-1004 1098-1004 |
DOI | 10.1155/humu/3468799 |
Cover
Summary: | Three nonsynonymous single nucleotide variations (SNVs), rs1042602 in TYR (p.S192Y), rs1426654 in SLC24A5 (p.A111T), and rs16891982 in SLC45A2 (p.L374F), were associated with human skin pigmentation variation and may have recently undergone positive natural selection. Furthermore, these three SNVs have been reported to correlate with the risk and prognosis of melanoma. To simultaneously determine these three SNVs, a triplex fluorescent probe‐based melting curve assay (FMCA) was developed. The method was validated by analyzing genomic DNA from subjects with known genotypes. For rs16891982, triplex FMCA did not allow good separation of genotypes with the initial polymerase enzyme mix used, but by changing the enzyme mix used, the three genotypes could be clearly distinguished. Using this method, we definitively genotyped these three SNVs in 93 European, 58 Tamil, 54 Sinhalese, and 52 Bangladeshi subjects. This method allows genotyping of rs1042602, rs1426654, and rs16891982 in a relatively large number of samples to perform association studies on skin pigmentation variation or melanoma risk. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Academic Editor: Aziz ur Rehman Aziz |
ISSN: | 1059-7794 1098-1004 1098-1004 |
DOI: | 10.1155/humu/3468799 |