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Common disease-associated gene variants in a Saudi Arabian population.
Aleissa, Mariam; Aloraini, Taghrid; Alsubaie, Lamia Fahad; Hassoun, Madawi; Abdulrahman, Ghada; Swaid, Abdulrahman; Eyaid, Wafa Al; Mutairi, Fuad Al; Ababneh, Faroug; Alfadhel, Majid; Alfares, Ahmed.
Afiliação
  • Aleissa M; From the Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City.
  • Aloraini T; From the Department of Molecular Genetics, Public Health Laboratory, Public Health Authority, Riyadh.
  • Alsubaie LF; From the College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
  • Hassoun M; From the Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City.
  • Abdulrahman G; From the King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences.
  • Swaid A; From the Department of Genetics, King Abdullah Specialized Children Hospital, King Abdulaziz Medical City, MNGHA.
  • Eyaid WA; From the King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences.
  • Mutairi FA; From the Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City.
  • Ababneh F; From the King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences.
  • Alfadhel M; From the Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City.
  • Alfares A; From the King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences.
Ann Saudi Med ; 42(1): 29-35, 2022.
Article em En | MEDLINE | ID: mdl-35112591
ABSTRACT

BACKGROUND:

Screening programs for the most prevalent conditions occurring in a country is an evidence-based prevention strategy. The burden of autosomal recessive disease variations in Saudi Arabia is high because of the highly consanguineous population. The optimal solution for estimating the carrier frequency of the most prevalent diseases is carrier screening.

OBJECTIVES:

Identify the most influential recessive alleles associated with disease in the Saudi population.

DESIGN:

We used clinical whole-exome sequencing data from an in-house familial database to evaluate the most prevalent genetic variations associated with disease in a Saudi population. SETTINGS King Abdullah International Medical Research Center (KAIMRC) and King Abdulaziz Medical City.

METHODS:

Whole exome sequencing data obtained from clinical studies of family members, a cohort of 1314 affected and unaffected individuals, were filtered using the in-house pipeline to extract the most prevalent variant in the dataset. MAIN OUTCOME

MEASURES:

Most prevalent genetic variations associated with disease in the Saudi population. SAMPLE SIZE 1314 affected and unaffected individuals.

RESULTS:

We identified 37 autosomal recessive variants and two heterozygous X-linked variants in 35 genes associated with the most prevalent disorders, which included hematologic (32%), endocrine (21%), metabolic (11%) and immunological (10%) diseases.

CONCLUSION:

This study provides an update of the most frequently occurring alleles, which support future carrier screening programs.

LIMITATIONS:

Single center that might represent the different regions but may be biased. In addition, most of the families included in the database are part of the proband's genetic identification for specific phenotypes. CONFLICT OF INTEREST None.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Família / Genética Populacional / Doenças Genéticas Inatas Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Ann Saudi Med Assunto da revista: MEDICINA Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Família / Genética Populacional / Doenças Genéticas Inatas Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Ann Saudi Med Assunto da revista: MEDICINA Ano de publicação: 2022 Tipo de documento: Article