A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women.

Yoo, Hye-Young; Lee, Ki-Chan; Woo, Ji-Eun; Park, Sung-Ha; Lee, Sunghoon; Joo, Joungsu; Bae, Jin-Sik; Kwon, Hyuk-Jung; Park, Byoung-Jun

Yoo, Hye-Young; Lee, Ki-Chan; Woo, Ji-Eun; Park, Sung-Ha; Lee, Sunghoon; Joo, Joungsu; Bae, Jin-Sik; Kwon, Hyuk-Jung; Park, Byoung-Jun.

Afiliación

Yoo HY; Skin & Natural Products Lab, Kolmar Korea Co., Ltd., Seoul, 06800, Republic of Korea.
Lee KC; R&D Department, Eone Diagnomics Genome Center Co., Ltd, Songdo Incheon, 22014, Republic of Korea.
Woo JE; Skin & Natural Products Lab, Kolmar Korea Co., Ltd., Seoul, 06800, Republic of Korea.
Park SH; Skin & Natural Products Lab, Kolmar Korea Co., Ltd., Seoul, 06800, Republic of Korea.
Lee S; R&D Department, Eone Diagnomics Genome Center Co., Ltd, Songdo Incheon, 22014, Republic of Korea.
Joo J; R&D Department, Eone Diagnomics Genome Center Co., Ltd, Songdo Incheon, 22014, Republic of Korea.
Bae JS; R&D Department, Eone Diagnomics Genome Center Co., Ltd, Songdo Incheon, 22014, Republic of Korea.
Kwon HJ; R&D Department, Eone Diagnomics Genome Center Co., Ltd, Songdo Incheon, 22014, Republic of Korea.
Park BJ; Skin & Natural Products Lab, Kolmar Korea Co., Ltd., Seoul, 06800, Republic of Korea.

Clin Cosmet Investig Dermatol ; 15: 433-445, 2022.

Article en En | MEDLINE | ID: mdl-35313536

Palabras clave

customized cosmetics; genome-wide association study; machine-learning algorithm; microarray; single-nucleotide polymorphism

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Cosmet Investig Dermatol Año: 2022 Tipo del documento: Article Pais de publicación: Nueva Zelanda

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