Investigation of the <i>MC1R</i> Gene Sequence Variation Using Oxford Nanopore Sequencing

The MC1R gene, which is responsible for most cases of red hair, affects other hair and skin colours and contributes to differences in pain sensitivity and consists of a single exon with a very high level of allelic heterogeneity. In this research, we show that the Oxford Nanopore Technology (ONT) offers a good alternative to study the MC1R sequence variation. MinION was used to sequence the 1590 bp MC1R exon and minimal promoter in a cohort of 126 subjects, including 65 red-haired individuals, using the FLO-MIN106 (R9.4) chemistry. Assigned DNA variants were validated using Ion Torrent technology provided with Ion Xpress Plus Fragment Library Kit and the Personal Genome Machine<sup>TM</sup> (PGM<sup>TM</sup>). We show that the use of the latest sequencing kit V14 together with the FLO-MIN114 (R10.4.1) flow cell has eliminated the systematic errors observed with the previous chemistry and allowed reliable detection of short indels important for phenotypic inference. Importantly, the use of the algorithm implemented in the EPI2ME software enabled convenient and accurate read-based phase determination which can be useful in data interpretation.

Authors

Institutions

Publication Details

Journal
Electrophoresis
Published
2025-05-02
DOI
https://doi.org/10.1002/elps.8141
Citations
1
Primary Topic
melanin and skin pigmentation
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of the MC1R Gene Sequence Variation Using Oxford Nanopore Sequencing

Agata Jarosz, B. Wysocka, Wojciech Branicki, Katarzyna Węgrzyn et al.
1 citations
Electrophoresis
melanin and skin pigmentation
1.15
article

Investigation of the MC1R Gene Sequence Variation Using Oxford Nanopore Sequencing

Agata Jarosz, B. Wysocka, Wojciech Branicki, Katarzyna Węgrzyn, Magdalena Spólnicka, Aleksandra Pisarek, Magdalena Zubańska, Kamila Marszałek, Ewelina Pośpiech, Magdalena Kukla‐Bartoszek, Agnieszka Bronikowska
article en
1 citations

Abstract

The MC1R gene, which is responsible for most cases of red hair, affects other hair and skin colours and contributes to differences in pain sensitivity and consists of a single exon with a very high level of allelic heterogeneity. In this research, we show that the Oxford Nanopore Technology (ONT) offers a good alternative to study the MC1R sequence variation. MinION was used to sequence the 1590 bp MC1R exon and minimal promoter in a cohort of 126 subjects, including 65 red-haired individuals, using the FLO-MIN106 (R9.4) chemistry. Assigned DNA variants were validated using Ion Torrent technology provided with Ion Xpress Plus Fragment Library Kit and the Personal Genome Machine<sup>TM</sup> (PGM<sup>TM</sup>). We show that the use of the latest sequencing kit V14 together with the FLO-MIN114 (R10.4.1) flow cell has eliminated the systematic errors observed with the previous chemistry and allowed reliable detection of short indels important for phenotypic inference. Importantly, the use of the algorithm implemented in the EPI2ME software enabled convenient and accurate read-based phase determination which can be useful in data interpretation.

ElectrophoresisVol. 46(11-12)
Jagiellonian University (PL), Maj Institute of Pharmacology (PL), Centralne Laboratorium Kryminalistyczne Policji (PL), Krakow Cardiovascular Research Institute (PL), University of Warsaw (PL), University of Warmia and Mazury in Olsztyn (PL), Pomeranian Medical University (PL)
Openalex Percentile: Top 25%
melanin and skin pigmentation
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.