ABSTRACT
Y-STR polymorphism of Gujjar population was determined by using AmpFISTR®YfilerTM PCR amplification kit. A total 176 haplotypes were obtained after the analysis of 17 Y-STR loci in 176 genetically unrelated individuals. Haplotype diversity and discrimination capacity attained was 0.99730 and 0.652201325, respectively. The comparison of Gujjar population with 16 other populations revealed that Gujjars have low genetic distance from Punjabi, Sindhi, and Pakhtun population of Pakistan; Azad Kashmir, Saraswat Brahmin from India; Bangladeshi population; north and south of Afghanistan; and Uttar Pradesh India which hints toward the migrational route Gujjars took over the centuries. This data is of significant value for population studies and forensic applications.
Subject(s)
Chromosomes, Human, Y , Ethnicity/genetics , Genetics, Population , Haplotypes , Microsatellite Repeats , Polymorphism, Genetic , Humans , Male , Pakistan/ethnologyABSTRACT
Y chromosomal short tandem repeat (Y-STR) haplotype diversity of 180 genetically unrelated male individuals from Sheikh population of Punjab Pakistan was studied by amplifying 17 Y-STR markers through the AmpFISTR®Yfiler™ PCR amplification kit. The analysis of data revealed mean discrimination capacity of 0.6438 and matching probability of 0.3561. Sheikh population was also compared with 11 other populations in order to determine its population relationships which indicated that Punjabi Sheikhs have low genetic resemblance with Indian-Balmiki, UAE [Arab], Yousafzai Pathan from Pakistan, and Pathans from Afghanistan. The data of this study could have valuable application in forensic cases, in population genetics studies, and in strengthening the Y-STR database.
Subject(s)
Chromosomes, Human, Y , DNA Fingerprinting/methods , Ethnicity/genetics , Gene Frequency , Haplotypes , Microsatellite Repeats , Gene Amplification , Humans , Male , Pakistan/ethnologyABSTRACT
Major hurdle faced by many physicians in treating various respiratory tract infections and lung carcinomas is their late or mis-diagnosis. In most respiratory tract infections the manner of infection is not completely understood. Similarly, various lung carcinomas are diagnosed at advance stages at which not only the treatment possibilities are narrowed but the chances of survival are also reduced. So, for the sake of better treatment, the quick and improved diagnostic strategies are suggested. Protein biomarkers fully fit the description in this regard as they have shown great potential in specific diagnosis of many respiratory diseases and also have shown capability in timely pin pointing different stages of lung carcinomas. Many serum biomarkers are presently being used for diagnosis but the efficiency for diagnosis of these biomarkers is lower when used alone. So, physicians are suggested to use the combination of different biomarkers. Moreover, genetic biomarkers are also currently studied to indicate the exact stage of disease, the possible damage occurred, the severity of disease and also for the analysis of the possible body response to the therapeutics.
