000 02971cam a2200349 a 4500
003 EG-GiCUC
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008 170918s2017 ua dh f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aPh.D
099 _aCai01.13.03.Ph.D.2017.Mo.A
100 0 _aMohamed Nagy Saad Mohamed Elziftawy
245 1 0 _aAssociation analysis for big data related to rheumatoid arthritis based on haplotype block partitioning and single nucleotide polymorphisms /
_cMohamed Nagy Saad Mohamed Elziftawy , supervised Ayman M. Eldeib , Olfat G. Shaker , Mai S. Mabrouk
246 1 5 _aتحليل المزاملة لبيانات ضخمة مرتبطة بداء ألتهاب المفاصل الروماتويدي بناء على تقسيم كتلة النمط الفرداني وتعدد أشكال النوتيدات الواحدة
260 _aCairo :
_bMohamed Nagy Saad Mohamed Elziftawy ,
_c2017
300 _a101 P. :
_bcharts , facsimiles ;
_c30cm
502 _aThesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
520 _aGenetics of autoimmune diseases represent a growing domain with surpassing biomarker results with rapid progress. Rheumatoid arthritis (RA) is an autoimmune disease which has a significant socio-economic impact. The exact cause of RA is unknown, but it is thought to have both a genetic and an environmental bases. This thesis is concerned with the methods of identifying the genetic biomarkers of RA. Most of the researchers in the field of identifying RA biomarkers use single nucleotide polymorphism (SNP) approaches to express the significance of their results. Although, haplotype block methods are expected to play a complementary role in the future of that field. The used datasets belong to Egyptian population (185 individuals, 8 SNPs) and North American population (2,062 individuals, 545,080 SNPs). Our goal in this thesis differs according to the studied dataset. For the Egyptian dataset, the goal is the detection of the significant SNPs that are associated with RA disease. The individual SNP approaches that were used with the Egyptian population are multiplicative, co-dominant, dominant, and recessive approaches. The haplotype methods couldn{u2019}t be applied on the Egyptian dataset because of the small number of the studied SNPs. The associations between the eight SNPs and RA susceptibility and severity were detected using the four applied individual SNP approaches
530 _aIssued also as CD
653 4 _aGenetic Association Study
653 4 _aHaplotype Block
653 4 _aLinkage Disequilibrium
700 0 _aAyman M. Eldeib ,
_esupervisor
700 0 _aMai S. Mabrouk ,
_esupervisor
700 0 _aOlfat G. Shaker ,
_esupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aShimaa
_eCataloger
942 _2ddc
_cTH
999 _c62390
_d62390