Journal of Alzheimer’s Disease ISSN: 1387-2877 IOS Press DOI: 10.3233/JAD-2010-091711 Validating Predicted Biological Effects of Alzheimer’s Disease Associated SNPs Using CSF Biomarker Levels John S.K. Kauwea,*, Carlos Cruchagab,*, Sarah Bertelsenb, Kevin Mayob, Wayne Latua, Petra Nowotnyb, Anthony L. Hinrichsb, Anne M. Faganc, David M. Holtzmanc, Alzheimer’s Disease Neuroimaging Initiative** and Alison M. Goateb aDepartment of Biology, Brigham Young University, Provo, UT, USA bDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA cDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA *Co-first authors with equal contributions. Running Title: Validating effects of AD risk variants Handling Associate Editor: Daniela Galimberti Accepted 16 April 2010 Correspondence to: Alison M. Goate, PhD, Samuel & Mae S. Ludwig Professor, Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA; Tel: +1 314-362-8691, Fax: +1 314-747-2983, Email:
[email protected]. 1 **Some of the data used in the preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (http://www.loni.ucla.edu\ADNI). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. ADNI investigators include (complete listing available at http://www.loni.ucla.edu/ADNI/About/About_Investigators.shtml). 2 ABSTRACT Recent large-scale genetic studies of late-onset Alzheimer’s disease have identified risk variants in CALHM1, GAB2, and SORL1. The mechanisms by which these genes might modulate risk are not definitively known.