Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population.

Belkadi, Aziz; Thareja, Gaurav; Abbaszadeh, Fatemeh; Badii, Ramin; Fauman, Eric; Albagha, Omar M E; Suhre, Karsten

Belkadi, Aziz; Thareja, Gaurav; Abbaszadeh, Fatemeh; Badii, Ramin; Fauman, Eric; Albagha, Omar M E; Suhre, Karsten.

Afiliação

Belkadi A; Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha 24144, Qatar.
Thareja G; Department of Biophysics and Physiology, Weill Cornell Medicine, New York, NY, USA.
Abbaszadeh F; Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha 24144, Qatar.
Badii R; Department of Biophysics and Physiology, Weill Cornell Medicine, New York, NY, USA.
Fauman E; Hamada Medical Corporation, Doha, Qatar.
Albagha OME; Hamada Medical Corporation, Doha, Qatar.
Suhre K; College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.

Cell Genom ; 3(1): 100218, 2023 Jan 11.

Article em En | MEDLINE | ID: mdl-36777185

Palavras-chave

consanguineous population; drug target validation, drug target identification; human gene knockouts; metabolomics; proteomics; whole-genome sequencing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Cell Genom Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Qatar País de publicação: Estados Unidos

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