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P1‐193: Data Driven Approaches for Predictors Selections in Determining Alzheimer's Disease
Author(s) -
Yang Jiaoyun,
An Ning,
Kowall Neil W.,
Farrer Lindsay A.,
Yuan Jing,
Zhang Zhenxin,
Au Rhoda
Publication year - 2016
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.06.941
Subject(s) - disease , regression analysis , regression , depression (economics) , linear regression , variables , psychology , rating scale , statistics , medicine , computer science , mathematics , economics , macroeconomics
and Ab40. The method comparison revealed that wild-type Ab42 concentrations from LC-MS/MS were greater than those reported by the Innogenetics ELISA (on average 2.6 fold greater). Conclusions: Using instrumentation common to hospital labs, we developed an automated method for quantitation of Ab peptides in CSF, inclusive of familial Ab variants. The method was validated following established clinical guidelines and a data analysis procedure was established to identify the presence of variant Ab peptide sequences without a priori knowledge of the isoform(s) present in specimens submitted for analysis.