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Журнал генетики и исследований ДНК

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Объем 7, Проблема 1 (2023)

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Mining the Unknown: Assigning Function to Noncoding SNPs

Cm Skevaki*

The eyes, kidneys and cardiovascular system are among the tissues and organs affected by diabetes, a chronic metabolic disorder. The prevalence of diabetes in the world is 8.8 percent, with approximately 90 percent of cases being type 2 diabetes, according to the World Health Organization. In the early stages of diabetes, there are no significant clinical signs or symptoms. As a result, screening can be a useful tool for reducing diabetic complications. The Middle East's health care system has been burdened with exorbitant costs as a result of the alarming rise in diabetes prevalence over the past few decades. We investigated the role of single-nucleotide polymorphisms (SNPs) in the pathogenesis of diabetes in the Middle Eastern population because genetic changes are one of the major risk factors associated with diabetes predisposition. We evaluated the Middle Eastern population's molecular pathology of diabetes in this review, paving the way for the introduction of an effective SNP-based diagnostic panel for diabetes screening. Since there are 370 million people living in the Middle East; The current review may serve as a useful model for the implementation of SNP-based diagnostic panels in additional populations and nations.

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DNA Vaccines for Infectious Disorders

Huira Kopera*

Trial formulations are frequently found to be nonspecific, ineffective, thermally or hydrolytically unstable, or toxic, making it extremely difficult to engineer vaccine-based therapeutics for infectious diseases. The therapeutic landscape for treating infectious diseases has greatly improved thanks to vaccines, as has the threat posed by therapeutic and preventative measures. In addition, despite making production processes more cumbersome, the development of recombinant technologies has greatly facilitated vaccine development by mitigating risks like virulence reversion. Recombinant technology can also improve seroconversion through kinetic and nonkinetic strategies that are discussed in this paper. DNA-based vaccines and amino acid-based vaccines have both seen significant advancements thanks to recombinant technologies.

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Prediction of Fasting Blood Glucose Level within a Korean Population

Hyoung Doo Shin*, Yeon Su Kim, In Ki Baek, Hyun Sub Cheong

Fasting blood glucose (FBG) level is prevalent trait to predict several diseases. In the present study, We identified markers for prediction of blood glucose level. The genotype data of a total of 5,013 samples (2,373 men and 2,640 women) were obtained from the Korea Association Resource (KARE) project. We collected markers from a genome-wide association study (GWAS) catalog which included additional markers from nearby regions of GWAS catalog markers. In order to establish a FBG prediction model, we selected significant single nucleotide polymorphisms (SNPs) using a 10-fold cross-validation. In addition, we validated our prediction model using the final validation set. We selected a total of 7 SNP comprised of 2 SNPs (rs7754840 and rs12699673) for the men and 5 SNPs (rs102275, rs1574285, rs2908289, rs6494307 and rs917793) for the women from the 10-fold cross-validation process. The results of the 10-fold across-validation process in the men and the women indicated upward trends of FBG levels. Also, we validated our prediction model using the final validation set. In the final validation set, increased trends were observed across all of the sets. Our prediction model for FBG may be helpful to further FBG related studies.

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