000131308 001__ 131308 000131308 005__ 20240208113739.0 000131308 0247_ $$2doi$$a10.1109/BIBM.2018.8621358 000131308 0248_ $$2sideral$$a127500 000131308 037__ $$aART-2018-127500 000131308 041__ $$aeng 000131308 100__ $$aMarin, Belen 000131308 245__ $$aEvolution of GWAS results through ADNI cohorts 000131308 260__ $$c2018 000131308 5060_ $$aAccess copy available to the general public$$fUnrestricted 000131308 5203_ $$aGenome Wide Association Studies (GWAS) of Alzheimer's disease with quantitative phenotype is an active field of research that has pointed out a number of SNPs potentially related to the disease. Some initiatives such as Alzheimer's Disease Neuroimaging Initiative (ADNI) have been established in order to proof whether anatomical or biological markers (from magnetic resonance imaging (MRI) or positron emission tomography (PET)), genetic information, and clinical and neuropsychological assessments can be combined to measure the progression of mild cognitive impairment (MCI) and early Alzheimer's disease (AD). In the last decade, ADNI database has been progressively augmented, including a considerable number of patients yielding to the subsequent projects and cohorts ADNI1, ADNIGO, and ADNI2. Although some GWAS have been carried out with subpopulations of ADNI1, to the best of our knowledge, these works have not been replicated with the whole ADNI1 or the subsequent cohorts. In this work, we intend to study which SNPs are consistently preserved through ADNI cohorts in GWAS. 000131308 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/BES-2017-079979$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-80347-R 000131308 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000131308 655_4 $$ainfo:eu-repo/semantics/conferenceObject$$vinfo:eu-repo/semantics/acceptedVersion 000131308 700__ $$0(orcid)0000-0003-0389-2422$$aAlquezar-Baeta, Carlos$$uUniversidad de Zaragoza 000131308 700__ $$0(orcid)0000-0003-1270-5852$$aHernandez, Monica$$uUniversidad de Zaragoza 000131308 700__ $$0(orcid)0000-0002-9109-5337$$aMayordomo Cámara, Elvira$$uUniversidad de Zaragoza 000131308 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000131308 773__ $$g(2018), 2782-2784$$pProceedings (IEEE Int. Conf. Bioinformatics Biomed.)$$tProceedings (IEEE International Conference on Bioinformatics and Biomedicine)$$x2156-1125 000131308 8564_ $$s211726$$uhttps://zaguan.unizar.es/record/131308/files/texto_completo.pdf$$yPostprint 000131308 8564_ $$s2511972$$uhttps://zaguan.unizar.es/record/131308/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000131308 909CO $$ooai:zaguan.unizar.es:131308$$particulos$$pdriver 000131308 951__ $$a2024-02-08-10:52:58 000131308 980__ $$aARTICLE