Common disease-associated gene variants in a Saudi Arabian population

被引:11
|
作者
Aleissa, Mariam [1 ,5 ,6 ]
Aloraini, Taghrid [1 ,3 ]
Alsubaie, Lamia Fahad [2 ,3 ]
Hassoun, Madawi [1 ,3 ]
Abdulrahman, Ghada [1 ,3 ]
Swaid, Abdulrahman [2 ,3 ]
Al Eyaid, Wafa [2 ,3 ]
Al Mutairi, Fuad [2 ,3 ]
Ababneh, Faroug [2 ,3 ]
Alfadhel, Majid [2 ,3 ]
Alfares, Ahmed [1 ,3 ,4 ]
机构
[1] King Abdul Aziz Med City, Dept Lab Med, Div Translat Pathol, Riyadh, Saudi Arabia
[2] King Abdullah Specialized Children Hosp, Dept Genet, King Abdulaziz Med City, MNGHA, Riyadh, Saudi Arabia
[3] King Saud Bin Abdulaziz Univ Hlth Sci, King Abdullah Int Med Res Ctr, Riyadh, Saudi Arabia
[4] Qassim Univ, Dept Pediat, Coll Med, Qasim, Saudi Arabia
[5] Publ Hlth Author, Dept Mol Genet, Publ Hlth Lab, Riyadh, Saudi Arabia
[6] Alfaisal Univ, Coll Med, Riyadh, Saudi Arabia
关键词
GENOMICS;
D O I
10.5144/0256-4947.2022.29
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 inhouse 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.
引用
收藏
页码:29 / 35
页数:7
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