GWAS Identifies Multiple Genetic Loci for Skin Color in Korean Women.


Journal

The Journal of investigative dermatology
ISSN: 1523-1747
Titre abrégé: J Invest Dermatol
Pays: United States
ID NLM: 0426720

Informations de publication

Date de publication:
04 2022
Historique:
received: 21 04 2021
revised: 11 08 2021
accepted: 13 08 2021
pubmed: 15 10 2021
medline: 10 5 2022
entrez: 14 10 2021
Statut: ppublish

Résumé

Human skin color is largely determined by genetic factors. Recent GWASs have reported several genetic variants associated with skin color, mostly in European and African populations. In this study, we performed GWAS in 17,019 Korean women to identify genetic variants associated with facial skin color, quantitatively measured as CIELAB color index. We identified variants in three, one, and six genomic loci associated with facial skin color index L∗, a∗, and b∗ values, respectively, and replicated the associations (combined analysis P-value < 5.0 × 10

Identifiants

pubmed: 34648798
pii: S0022-202X(21)02303-4
doi: 10.1016/j.jid.2021.08.440
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1077-1084

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Jung Yeon Seo (JY)

Department of Core Technology, R&D Center, LG Household & Healthcare (LG H&H), Seoul, South Korea.

Seung Won You (SW)

Department of Core Technology, R&D Center, LG Household & Healthcare (LG H&H), Seoul, South Korea.

Joong-Gon Shin (JG)

Department of Core Technology, R&D Center, LG Household & Healthcare (LG H&H), Seoul, South Korea.

Yunkwan Kim (Y)

Department of Core Technology, R&D Center, LG Household & Healthcare (LG H&H), Seoul, South Korea.

Sun Gyoo Park (SG)

Department of Core Technology, R&D Center, LG Household & Healthcare (LG H&H), Seoul, South Korea.

Hong-Hee Won (HH)

Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Samsung Medical Center, Sungkyunkwan University, Seoul, South Korea.

Nae Gyu Kang (NG)

Department of Core Technology, R&D Center, LG Household & Healthcare (LG H&H), Seoul, South Korea. Electronic address: ngkang@lghnh.com.

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Classifications MeSH