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Common disease-associated gene variants in a Saudi Arabian population
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 carr...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
King Faisal Specialist Hospital and Research Centre
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812157/ https://www.ncbi.nlm.nih.gov/pubmed/35112591 http://dx.doi.org/10.5144/0256-4947.2022.29 |
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author | 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 |
author_facet | 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 |
author_sort | Aleissa, Mariam |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8812157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | King Faisal Specialist Hospital and Research Centre |
record_format | MEDLINE/PubMed |
spelling | pubmed-88121572022-03-07 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 Ann Saudi Med Original Article 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. King Faisal Specialist Hospital and Research Centre 2022-01 2022-02-03 /pmc/articles/PMC8812157/ /pubmed/35112591 http://dx.doi.org/10.5144/0256-4947.2022.29 Text en Copyright © 2022, Annals of Saudi Medicine, Saudi Arabia https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND). The details of which can be accessed at http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Article 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 Common disease-associated gene variants in a Saudi Arabian population |
title | Common disease-associated gene variants in a Saudi Arabian population |
title_full | Common disease-associated gene variants in a Saudi Arabian population |
title_fullStr | Common disease-associated gene variants in a Saudi Arabian population |
title_full_unstemmed | Common disease-associated gene variants in a Saudi Arabian population |
title_short | Common disease-associated gene variants in a Saudi Arabian population |
title_sort | common disease-associated gene variants in a saudi arabian population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812157/ https://www.ncbi.nlm.nih.gov/pubmed/35112591 http://dx.doi.org/10.5144/0256-4947.2022.29 |
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