Eleven susceptibility loci for late-onset Alzheimer’s disease (LOAD) were identified by previous studies; however, a large portion of the genetic risk for this disease remains unexplained. We conducted a large, two-stage meta-analysis of genome-wide association studies (GWAS) in individuals of European ancestry. In stage 1, we used genotyped and imputed data (7,055,881 SNPs) to perform meta-analysis on 4 previously published GWAS data sets consisting of 17,008 Alzheimer’s disease cases and 37,154 controls. In stage 2,11,632 SNPs were genotyped and tested for association in an independent set of 8,572 Alzheimer’s disease cases and 11,312 controls. In addition to the APOE locus (encoding apolipoprotein E), 19 loci reached genome-wide significance (P < 5 × 10−8) in the combined stage 1 and stage 2 analysis, of which 11 are newly associated with Alzheimer’s disease.

Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. We thank Drs. D. Stephen Snyder and Marilyn Miller from NIA who are ex-officio ADGC members. EADI. This work has been developed and supported by the LABEX (laboratory of excellence program investment for the future) DISTALZ grant (Development of Innovative Strategies for a Transdisciplinary approach to ALZheimer's disease) including funding from MEL (Metropole européenne de Lille), ERDF (European Regional Development Fund) and Conseil Régional Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. The authors are grateful to the study participants, the staff from the Rotterdam Study and the participating general practitioners and pharmacists. The generation and management of GWAS genotype data for the Rotterdam Study (RS-I, RS-II, RS-III) was executed by the Human Genotyping Facility of the Genetic Laboratory of the

The Alzheimer Disease Genetics Consortium (ADGC) performed a genome-wide association study (GWAS) of late-onset Alzheimer disease (LOAD) using a 3 stage design consisting of a discovery stage (Stage 1) and two replication stages (Stages 2 and 3). Both joint and meta-analysis analysis approaches were used. We obtained genome-wide significant results at MS4A4A [rs4938933; Stages 1+2, meta-analysis (PM) = 1.7 × 10−9, joint analysis (PJ) = 1.7 × 10−9; Stages 1–3, PM = 8.2 × 10−12], CD2AP (rs9349407; Stages 1–3, PM = 8.6 × 10−9), EPHA1 (rs11767557; Stages 1–3 PM = 6.0 × 10−10), and CD33 (rs3865444; Stages 1–3, PM = 1.6 × 10−9). We confirmed that CR1 (rs6701713; PM = 4.6×10−10, PJ = 5.2×10−11), CLU (rs1532278; PM = 8.3 × 10−8, PJ = 1.9×10−8), BIN1 (rs7561528; PM = 4.0×10−14; PJ = 5.2×10−14), and PICALM (rs561655; PM = 7.0 × 10−11, PJ = 1.0×10−10) but not EXOC3L2 are LOAD risk loci1–3.

The recycling of the amyloid precursor protein (APP) from the cell surface via the endocytic pathways plays a key role in the generation of amyloid β-peptide (Aβ) in Alzheimer's Disease (AD). We report here that inherited variants in the SORL1 neuronal sorting receptor are associated with late-onset AD. These variants, which occur in at least two different clusters of intronic sequences may regulate tissue-specific expression of SORL1. We also show that SORL1 directs trafficking of APP into recycling pathways, and that when SORL1 is under-expressed, APP is sorted into Aβ-generating compartments. These data suggest that inherited or acquired changes in SORL1 expression or function are mechanistically involved in causing AD.

Introduction We identified rare coding variants associated with Alzheimer’s disease (AD) in a 3-stage case-control study of 85,133 subjects. In stage 1, 34,174 samples were genotyped using a whole-exome microarray. In stage 2, we tested associated variants (P<1×10-4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, an additional 14,997 samples were used to test the most significant stage 2 associations (P<5×10-8) using imputed genotypes. We observed 3 novel genome-wide significant (GWS) AD associated non-synonymous variants; a protective variant in PLCG2 (rs72824905/p.P522R, P=5.38×10-10, OR=0.68, MAFcases=0.0059, MAFcontrols=0.0093), a risk variant in ABI3 (rs616338/p.S209F, P=4.56×10-10, OR=1.43, MAFcases=0.011, MAFcontrols=0.008), and a novel GWS variant in TREM2 (rs143332484/p.R62H, P=1.55×10-14, OR=1.67, MAFcases=0.0143, MAFcontrols=0.0089), a known AD susceptibility gene. These protein-coding changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified AD risk genes. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to AD development.

In vitro binding assay and co-immunoprecipitation experimentWe prepared purified S-tagged recombinant LTA and T7-tagged galectin-2 derived from E. coli using the pET system (Novagen), and combined them. The co-immunoprecipitation experiments were performed using a monoclonal antibody against LTA (R&D Systems) coupled to HiTrapTM NHS-activated Sepharose HP (Amersham). We visualized the immune complex using T7 tag antibody (Stratagene) and horseradish peroxidase (HRP) conjugated with anti-mouse IgG antibody. For coimmunoprecipitation in mammalian cells, we transfected expression plasmids of Flag or S-tagged LTA, galectin-2 and LacZ (as a negative control) into COS7 cells (HSRRB; JCRB9127) or HeLa cells using Fugene. Immunoprecipitations were done in lysis buffer (20 mM Tris pH 7.5, with 150 mM NaCl, 0.1 % Nonident P-40). Twenty-four hours after transfection, cells were lysed, and immunoprecipitations were performed using anti-Flag tag M2 agarose (Sigma). We visualized the immune complex using HRP-conjugated S-protein (Novagen), anti-Flag M2 peroxidase conjugate (Sigma) or mouse monoclonal antibody against human a-tubulin (Molecular Probes) and HRP-conjugated anti-mouse IgG antibody. Confocal microscopyPolyclonal anti-human galectin-2 antisera were raised in rabbits using recombinant protein synthesized in E. coli. The antisera showed no cross-reactivity to structurally related molecules galectin-1 and galectin-3, analysed by western blot. Polyclonal antigalectin-2 antisera and either goat anti-human LTA IgG (R&D Systems) or mouse antihuman a-tubulin monoclonal IgM antibodies were used with Alexa secondary antibodies (Molecular Probes). U937 cells (HSRRB; JCRB9021) were stimulated for 30 min with phorbol myristate acetate (PMA) (20 ng ml 21 ) and fixed. They were subsequently incubated with the corresponding primary antibodies in phosphatebuffered saline containing 3% bovine serum albumin, and the corresponding Alexa secondary antibodies. siRNA and over-expression experimentsThe target sequences for galectin-2 (5 0 -AATCCACCATTGTCTGCAACT-3 0 ) were cloned into pSilencer 2.0-U6 siRNA vector (Ambion). For the over-expression experiment, the galectin-2 was cloned into pFlag-CMV5a vector. After transfection, Jurkat cells were stimulated with PMA (20 ng ml 21 ) for 24 h, and cells and supernatants were collected separately. LTA concentration was measured using an LTA-specific ELISA system (R&D Systems), and normalized by comparison with total protein concentration. The mRNA quantification procedure has been described previously 2 . Luciferase assayA DNA fragment, corresponding to nucleotides 3,188 to 3,404 of intron-1 of LGALS2, was cloned into pGL3-enhancer vector (Promega) in the downstream of SV40 enhancer in the 5 0 to 3 0 orientation. After 24 h transfection, luciferase activity was measured using the Dual-Luciferase Reporter Assay System (Promega). ImmunohistochemistryTissue samples were obtained from 16 patients with MI by elective directional coronary atherectomy. Immunohistochemical protocols were carried out a...

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Fetal hemoglobin (HbF) is the major genetic modulator of the hematologic and clinical features of sickle cell disease, an effect mediated by its exclusion from the sickle hemoglobin polymer. Fetal hemoglobin genes are genetically regulated, and the level of HbF and its distribution among sickle erythrocytes is highly variable. Some patients with sickle cell disease have exceptionally high levels of HbF that are associated with the Senegal and Saudi-Indian haplotype of the HBB-like gene cluster; some patients with different haplotypes can have similarly high HbF. In these patients, high HbF is associated with generally milder but not asymptomatic disease. Studying these persons might provide additional insights into HbF gene regulation. HbF appears to benefit some complications of disease more than others. This might be related to the premature destruction of erythrocytes that do not contain HbF, even though the total HbF concentration is high. Recent insights into HbF regulation have spurred new efforts to induce high HbF levels in sickle cell disease beyond those achievable with the current limited repertory of HbF inducers.