Chronic kidney disease (CKD) is a major public health concern around the world. UMOD gene variants are linked to a higher incidence of hypertension and CKD in the general population. This study aimed to investigate the role of uromodulin rs13333226 and rs13333144 genes association with chronic kidney disease.The study samples were divided into two groups. The first group included 100patient samples and 70 chosen among them were under the dialysis and had kidney failure aged between 18-88 years old. The second group included 30 samples from healthy individuals who were used as a control. One of the ways used to identify the genotype is the tetra-primers amplification refractory mutation system–polymerase chain reaction (ARMS–PCR). Regarding the results of SNP (rs13333226 and rs13333144), the genotypes GG (OR=150.3), and AA (OR=0.01) for rs13333226. The genotypes GG (OR=0.02) and TT(OR=140.4) for rs13333144 when comparing between patients and control (P≤ 0.01), they were observed when the odds ratio is less than 1 means they are preventive factors, while OR more than 1 means the risk increase (P≤ 0.01). It was concluded that there was an association between SNP (rs13333226 and rs13333144) and uromodulin in kidney diseases. Where genotype GG) rs13333226) and TT (rs13333144) represents a risk factor and AA rs13333226 and GG rs13333144 represents a protective factor.
Alzheimer’s Disease (AD) is the most prevailing type of dementia. The prevalence of AD is estimated to be around 5% after 65 years old and is staggering 30% for more than 85 years old in developed countries. AD destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. The findings of this study are likely to aid specialists in their decision-making process by using patients’ Magnetic Resonance Imaging (MRI) to distinguish patients with AD from Normal Control (NC). Performance evolution was applied to 346 Magnetic Resonance images from the Alzheimer's Neuroimaging Initiative (ADNI) collection. The Deep Belief Network (DBN) classifier was used to fulfill classification f
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