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498 results on '"Schellenberg, GD"'

1. Genetic overlap between Alzheimer’s disease and Parkinson’s disease at the MAPT locus

Author: Desikan, RS, Schork, AJ, Wang, Y, Witoelar, A, Sharma, M, McEvoy, LK, Holland, D, Brewer, JB, Chen, C-H, Thompson, WK, Harold, D, Williams, J, Owen, MJ, O'Donovan, MC, Pericak-Vance, MA, Mayeux, R, Haines, JL, Farrer, LA, Schellenberg, GD, Heutink, P, Singleton, AB, Brice, A, Wood, NW, Hardy, J, Martinez, M, Choi, SH, DeStefano, A, Ikram, MA, Bis, JC, Smith, A, Fitzpatrick, AL, Launer, L, van Duijn, C, Seshadri, S, Ulstein, ID, Aarsland, D, Fladby, T, Djurovic, S, Hyman, BT, Snaedal, J, Stefansson, H, Stefansson, K, Gasser, T, Andreassen, OA, and Dale, AM
Subjects: Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Human Genome, Brain Disorders, Neurosciences, Neurodegenerative, Parkinson's Disease, Prevention, Aging, Alzheimer's Disease, Dementia, Genetics, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Aetiology, Neurological, Aged, Aged, 80 and over, Alleles, Alzheimer Disease, Apolipoproteins E, Brain, Chromosomes, Human, Pair 17, Female, Genetic Loci, Genetic Pleiotropy, Genome-Wide Association Study, Humans, Male, Middle Aged, Parkinson Disease, Polymorphism, Single Nucleotide, tau Proteins, ADNI, ADGC, GERAD, CHARGE and IPDGC Investigators, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract: We investigated the genetic overlap between Alzheimer's disease (AD) and Parkinson's disease (PD). Using summary statistics (P-values) from large recent genome-wide association studies (GWAS) (total n=89 904 individuals), we sought to identify single nucleotide polymorphisms (SNPs) associating with both AD and PD. We found and replicated association of both AD and PD with the A allele of rs393152 within the extended MAPT region on chromosome 17 (meta analysis P-value across five independent AD cohorts=1.65 × 10(-7)). In independent datasets, we found a dose-dependent effect of the A allele of rs393152 on intra-cerebral MAPT transcript levels and volume loss within the entorhinal cortex and hippocampus. Our findings identify the tau-associated MAPT locus as a site of genetic overlap between AD and PD, and extending prior work, we show that the MAPT region increases risk of Alzheimer's neurodegeneration.
Published: 2015

2. Integrated Model of De Novo and Inherited Genetic Variants Yields Greater Power to Identify Risk Genes

Author: State, Matthew, Sanders, Stephan, He, X, Sanders, SJ, Liu, L, De, S, Lim, ET, Sutcliffe, JS, Schellenberg, GD, Gibbs, RA, Daly, MJ, and Buxbaum, JD
Abstract: De novo mutations affect risk for many diseases and disorders, especially those with early-onset. An example is autism spectrum disorders (ASD). Four recent whole-exome sequencing (WES) studies of ASD families revealed a handful of novel risk genes, based
Published: 2013

3. Evidence for genetic linkage of autism to chromosomes 7 and 4

Author: Schellenberg, GD, Dawson, G, Sung, YJ, Estes, A, Munson, J, Rosenthal, E, Rothstein, J, Flodman, P, Smith, M, Coon, H, Leong, L, Yu, CE, Stodgell, C, Rodier, PM, Spence, MA, Minshew, N, McMahon, WM, and Wijsman, EM
Subjects: article, autism, chromosome 4, chromosome 7, family, gene location, genetic analysis, genetic linkage, human, priority journal, quantitative trait, Williams Beuren syndrome, Psychiatry, Medical and Health Sciences, Biological Sciences, Psychology and Cognitive Sciences
Published: 2006

4. Autism and the serotonin transporter: the long and short of it

Author: Devlin, B, Cook, EH, Coon, H, Dawson, G, Grigorenko, EL, McMahon, W, Minshew, N, Pauls, D, Smith, M, Spence, MA, Rodier, PM, Stodgell, C, and Schellenberg, GD
Subjects: Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Genetics, Pediatric, Neurosciences, Intellectual and Developmental Disabilities (IDD), Autism, Mental Health, Brain Disorders, Aetiology, 2.1 Biological and endogenous factors, Mental health, Adult, Autistic Disorder, Child, Gene Frequency, Genetic Predisposition to Disease, Humans, Linkage Disequilibrium, Minisatellite Repeats, Pedigree, Phenotype, Polymorphism, Genetic, Serotonin Plasma Membrane Transport Proteins, autism, serotonin transporter, heterogeneity, genetic association, autistic disorder, CPEA Genetics Network, Autistic disorder, Genetic association, Heterogeneity, Serotonin transporter, protein, unclassified drug, allele, article, family, gene locus, genetic variability, haplotype, human, major clinical study, priority journal, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract: Autism is a neurodevelopmental disorder manifesting early in childhood. Some symptoms of autism are alleviated by treatment with selective serotonin reuptake inhibitors, which are known to interact with the serotonin transporter. Moreover, variation in the gene that encodes the transporter (SLC6A4), especially the HTTLPR locus, is known to modulate its expression. It is natural, therefore, to evaluate whether this variation plays a role in liability to autism. We investigated the impact of alleles at HTTLPR and three other loci in SLC6A4 by using a large, independent family-based sample (390 families, 1528 individuals) from the NIH Collaborative Programs of Excellence in Autism (CPEA) network. Allele transmissions to individuals diagnosed with autism were biased only for HTTLPR, both for the narrow diagnosis of autism (P=0.035) and for the broader diagnosis of autism spectrum (P=0.007). The short allele of HTTLPR was significantly overtransmitted. Investigation of haplotype transmissions suggested that, in our data, biased transmission was only due to HTTLPR. With respect to this locus, there are now seven of 12 studies reporting significant transmission bias of HTTLPR alleles, a noteworthy result in itself. However, the studies with significant findings are almost equally divided between overtransmission of short and overtransmission of long alleles. We place our results within this extremely heterogeneous field of studies. Determining the factors influencing the relationship between autism phenotypes and HTTLPR variation, as well as other loci in SLC6A4, could be an important advance in our understanding of this complex disorder.
Published: 2005

5. Common Variants Near ZIC1 and ZIC4 in Autopsy-Confirmed Multiple System Atrophy.

Author: Hopfner, F, Tietz, AK, Ruf, VC, Ross, OA, Koga, S, Dickson, D, Aguzzi, A, Attems, J, Beach, T, Beller, A, Cheshire, WP, van Deerlin, V, Desplats, P, Deuschl, G, Duyckaerts, C, Ellinghaus, D, Evsyukov, V, Flanagan, ME, Franke, A, Frosch, MP, Gearing, M, Gelpi, E, van Gerpen, JA, Ghetti, B, Glass, JD, Grinberg, LT, Halliday, G, Helbig, I, Höllerhage, M, Huitinga, I, Irwin, DJ, Keene, DC, Kovacs, GG, Lee, EB, Levin, J, Martí, MJ, Mackenzie, I, McKeith, I, Mclean, C, Mollenhauer, B, Neumann, M, Newell, KL, Pantelyat, A, Pendziwiat, M, Peters, A, Molina Porcel, L, Rabano, A, Matěj, R, Rajput, A, Reimann, R, Scott, WK, Seeley, W, Selvackadunco, S, Simuni, T, Stadelmann, C, Svenningsson, P, Thomas, A, Trenkwalder, C, Troakes, C, Trojanowski, JQ, Uitti, RJ, White, CL, Wszolek, ZK, Xie, T, Ximelis, T, Yebenes, J, Alzheimer's Disease Genetics Consortium, Müller, U, Schellenberg, GD, Herms, J, Kuhlenbäumer, G, Höglinger, G, Hopfner, F, Tietz, AK, Ruf, VC, Ross, OA, Koga, S, Dickson, D, Aguzzi, A, Attems, J, Beach, T, Beller, A, Cheshire, WP, van Deerlin, V, Desplats, P, Deuschl, G, Duyckaerts, C, Ellinghaus, D, Evsyukov, V, Flanagan, ME, Franke, A, Frosch, MP, Gearing, M, Gelpi, E, van Gerpen, JA, Ghetti, B, Glass, JD, Grinberg, LT, Halliday, G, Helbig, I, Höllerhage, M, Huitinga, I, Irwin, DJ, Keene, DC, Kovacs, GG, Lee, EB, Levin, J, Martí, MJ, Mackenzie, I, McKeith, I, Mclean, C, Mollenhauer, B, Neumann, M, Newell, KL, Pantelyat, A, Pendziwiat, M, Peters, A, Molina Porcel, L, Rabano, A, Matěj, R, Rajput, A, Reimann, R, Scott, WK, Seeley, W, Selvackadunco, S, Simuni, T, Stadelmann, C, Svenningsson, P, Thomas, A, Trenkwalder, C, Troakes, C, Trojanowski, JQ, Uitti, RJ, White, CL, Wszolek, ZK, Xie, T, Ximelis, T, Yebenes, J, Alzheimer's Disease Genetics Consortium, Müller, U, Schellenberg, GD, Herms, J, Kuhlenbäumer, G, and Höglinger, G
Published: 2022

6. An Association Test of the Spatial Distribution of Rare Missense Variants within Protein Structures Improves Statistical Power of Sequencing Studies

Author: Richard Mayeux, Nicholas R. Wheeler, Schellenberg Gd, William S. Bush, John J. Farrell, Yuk Yee Leung, Kara L. Hamilton-Nelson, John A. Capra, Li-San Wang, B. Jin, Badri N. Vardarajan, Haines Jl, Brian W. Kunkle, Adam C. Naj, Eden R. Martin, Penelope Benchek, Margaret A. Pericak-Vance, Dana C. Crawford, and Lindsay A. Farrer
Subjects: Candidate gene, Protein structure, Missense mutation, Context (language use), Computational biology, Biology, Phenotype, Allele frequency, Gene, Exome sequencing
Abstract: Over 90% of variants are rare, and 50% of them are singletons in the Alzheimer’s Disease Sequencing Project Whole Exome Sequencing (ADSP WES) data. However, either single variant tests or unit-based tests are limited in the statistical power to detect the association between rare variants and phenotypes. To best utilize rare variants and investigate their biological effect, we exam their association with phenotypes in the context of protein. We developed a protein structure-based approach, POKEMON (Protein Optimized Kernel Evaluation of Missense Nucleotides), which evaluates rare missense variants based on their spatial distribution on the protein rather than allele frequency. The hypothesis behind this is that the three-dimensional spatial distribution of variants within a protein structure provides functional context and improves the power of association tests. POKEMON identified four candidate genes from the ADSP WES data, namely two known Alzheimer’s disease (AD) genes (TREM2 and SORL) and two novel genes (DUSP18 and CSF1R). For known AD genes, the signal from the spatial cluster is stable even if we exclude known AD risk variants, indicating the presence of additional low frequency risk variants within these genes. DUSP18 has a cluster of variants primarily shared by case subjects around the ligand-binding domain, and this cluster is further validated in a replication dataset with a larger sample size. POKEMON is an open-source tool available at https://github.com/bushlab-genomics/POKEMON.
Published: 2021
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7. Genome-Wide Meta-Analysis of Late-Onset Alzheimer’s Disease Using Rare Variant Imputation in 65,602 Subjects Identifies Novel Rare Variant Locus NCK2: The International Genomics of Alzheimer’s Project (IGAP)

Author: Yuk Yee Leung, Lindsay A. Farrer, Yi Zhao, Amanda B. Kuzma, Jean-Charles Lambert, Alessandra Chesi, Xia R, Haines Jl, Haut J, Anita L. DeStefano, Chouraki, Julie Williams, William S. Bush, Leonenko G, Achilleas N. Pitsillides, John J. Farrell, Richard Mayeux, Fulton-Howard B, Xueqiu Jian, van Duijn C, Edward B. Lee, Sudha Seshadri, Sandra Barral, Li M, Jennifer E. Below, Rebecca Sims, Kara L. Hamilton-Nelson, J. C. Bis, Céline Bellenguez, Struan F.A. Grant, Otto Valladares, B. Grenier-Boley, Schellenberg Gd, Peter Holmans, Margaret A. Pericak-Vance, Comic H, Maria Carolina Dalmasso, Badri N. Vardarajan, Penelope Benchek, Phillips-Cremins Je, Philippe Amouyel, Brian W. Kunkle, Adam C. Naj, Zhang Y, Alfredo Ramirez, Pavel P. Kuksa, Chen H, Jin Sha, Li-San Wang, Lee C, van der Lee Sj, and Josée Dupuis
Subjects: Genetics, 0303 health sciences, TREM2, Haplotype, Genome-wide association study, Locus (genetics), Biology, Minor allele frequency, 03 medical and health sciences, 0302 clinical medicine, Genotype, 030217 neurology & neurosurgery, Imputation (genetics), 030304 developmental biology, Genetic association
Abstract: Risk for late-onset Alzheimer’s disease (LOAD) is driven by multiple loci primarily identified by genome-wide association studies, many of which are common variants with minor allele frequencies (MAF)> 0.01. To identify additional common and rare LOAD risk variants, we performed a GWAS on 25,170 LOAD subjects and 41,052 cognitively normal controls in 44 datasets from the International Genomics of Alzheimer’s Project (IGAP). Existing genotype data was imputed using the dense, high-resolution Haplotype Reference Consortium (HRC) r1.1 reference panel. Stage 1 associations of P−5 were meta-analyzed with the European Alzheimer’s Disease Biobank (EADB) (n=20,301 cases; 21,839 controls) (stage 2 combined IGAP and EADB). An expanded meta-analysis was performed using a GWAS of parental AD/dementia history in the UK Biobank (UKBB) (n=35,214 cases; 180,791 controls) (stage 3 combined IGAP, EADB, and UKBB). Common variant (MAF≥0.01) associations were identified for 29 loci in stage 2, including novel genome-wide significant associations at TSPAN14 (P=2.33×10−12), SHARPIN (P=1.56×10−9), and ATF5/SIGLEC11 (P=1.03×10−8), and newly significant associations without using AD proxy cases in MTSS1L/IL34 (P=1.80×10−8), APH1B (P=2.10×10−13), and CLNK (P=2.24×10−10). Rare variant (MAFAPOE and TREM2, and a novel association of a rare variant (rs143080277; MAF=0.0054; P=2.69×10−9) in NCK2, further strengthened with the inclusion of UKBB data in stage 3 (P=7.17×10−13). Single-nucleus sequence data shows that NCK2 is highly expressed in amyloid-responsive microglial cells, suggesting a role in LOAD pathology.
Published: 2021
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8. Sex differences in the genetic architecture underlying resilience in AD

Author: Eissman, JM, Dumitrescu, L, Mahoney, ER, Mukherjee, S, Lee, ML, Bush, WS, Engelman, CD, Lu, Q, Fardo, DW, Trittschuh, EH, Mez, J, Kaczorowski, CC, Saucedo, HH, Widaman, KF, Buckley, RF, Properzi, MJ, Mormino, EC, Yang, H, Harrison, TM, Hedden, T, Nho, K, Andrews, SJ, Tommet, D, Hadad, N, Sanders, RE, Ruderfer, DM, Gifford, KA, Zhong, X, Raghavan, NS, Vardarajan, BN, Initiative, ADN, Consortium, ADG, Team, AS, Pericak‐Vance, MA, Farrer, LA, Wang, L, Cruchaga, C, Schellenberg, GD, Cox, NJ, Haines, JL, Keene, CD, Saykin, AJ, Larson, EB, Sperling, RA, Mayeux, R, Cuccaro, ML, Bennett, DA, Schneider, JA, Crane, PK, Jefferson, AL, Hohman, TJ, Eissman, JM, Dumitrescu, L, Mahoney, ER, Mukherjee, S, Lee, ML, Bush, WS, Engelman, CD, Lu, Q, Fardo, DW, Trittschuh, EH, Mez, J, Kaczorowski, CC, Saucedo, HH, Widaman, KF, Buckley, RF, Properzi, MJ, Mormino, EC, Yang, H, Harrison, TM, Hedden, T, Nho, K, Andrews, SJ, Tommet, D, Hadad, N, Sanders, RE, Ruderfer, DM, Gifford, KA, Zhong, X, Raghavan, NS, Vardarajan, BN, Initiative, ADN, Consortium, ADG, Team, AS, Pericak‐Vance, MA, Farrer, LA, Wang, L, Cruchaga, C, Schellenberg, GD, Cox, NJ, Haines, JL, Keene, CD, Saykin, AJ, Larson, EB, Sperling, RA, Mayeux, R, Cuccaro, ML, Bennett, DA, Schneider, JA, Crane, PK, Jefferson, AL, and Hohman, TJ
Abstract: Background Approximately 30% of older adults are cognitively normal at death despite presence of Alzheimer’s disease (AD) neuropathology at autopsy. Studying these “resilient” individuals may lead to the discovery of novel therapeutic targets. In addition, growing evidence suggests sex differences in downstream neurodegenerative consequences of AD neuropathology, with recent studies highlighting notable sex-specific genetic drivers of AD pathogenesis. We sought to extend this work by elucidating sex-specific genetic factors underlying resilience to AD. Method We used our published genetic resilience pipeline to assess sex-specific genetic predictors (Dumitrescu et al., 2020). Briefly, we used modern psychometric approaches to harmonize cognitive measures across four cohorts of cognitive aging (N=5054), in-vivo amyloid PET across two studies, and leveraged autopsy measures of amyloidosis (CERAD staging) across two studies. A continuous measure of resilience was quantified using a latent variable framework whereby higher scores reflected better-than-predicted cognitive performance given amyloidosis level and lower scores reflected worse-than-predicted performance. We then performed sex-stratified GWASs and sex-interaction GWASs, covarying for age and the first three principal components and meta-analyzed across cohorts. Finally, we performed sex-stratified genetic correlation analyses (GNOVA) between our meta-analysis results and summary statistics from 63 complex traits. Result Among individuals with normal cognition, we identified a female-specific locus on chromosome 10 (rs827389, [p(females)=7.4E-09, p(males)=0.64, p(interaction)=8.3E-05, MAF=0.46]). This variant is a modest eQTL for KIN (p=0.003), a gene encoding a DNA/RNA binding protein (http://www.braineac.org). In our genetic correlation analyses, we observed male-specific correlations between resilience and two heart rate-related traits, whereby higher resilience was associated with lower genetic risk for po
Published: 2021

9. Sex‐specific genetic predictors of memory performance

Author: Smith, AN, Dumitrescu, L, Mukherjee, S, Lee, ML, Choi, S, Trittschuh, EH, Mez, J, Mahoney, ER, Bush, WS, Engelman, CD, Lu, Q, Fardo, DW, Widaman, KF, Buckley, RF, Mormino, EC, Harrison, TM, Sanders, RE, Clark, LR, Gifford, KA, Vardarajan, BN, Initiative, ADN, Consortium, ADG, Team, AS, Project, TADS, Cuccaro, ML, Pericak‐Vance, MA, Farrer, LA, Wang, L, Schellenberg, GD, Haines, JL, Jefferson, AL, Johnson, SC, Kukull, WA, Albert, MS, Keene, CD, Saykin, AJ, Larson, EB, Sperling, RA, Mayeux, R, Bennett, DA, Schneider, JA, Crane, PK, Hohman, TJ, Smith, AN, Dumitrescu, L, Mukherjee, S, Lee, ML, Choi, S, Trittschuh, EH, Mez, J, Mahoney, ER, Bush, WS, Engelman, CD, Lu, Q, Fardo, DW, Widaman, KF, Buckley, RF, Mormino, EC, Harrison, TM, Sanders, RE, Clark, LR, Gifford, KA, Vardarajan, BN, Initiative, ADN, Consortium, ADG, Team, AS, Project, TADS, Cuccaro, ML, Pericak‐Vance, MA, Farrer, LA, Wang, L, Schellenberg, GD, Haines, JL, Jefferson, AL, Johnson, SC, Kukull, WA, Albert, MS, Keene, CD, Saykin, AJ, Larson, EB, Sperling, RA, Mayeux, R, Bennett, DA, Schneider, JA, Crane, PK, and Hohman, TJ
Abstract: Background There are notable sex differences in the clinical manifestation of Alzheimer’s disease (AD), including differences in baseline and longitudinal changes in memory performance. However, sex-stratified models have not been routinely incorporated into genetic studies of cognitive performance or decline. We sought to identify sex-specific genetic predictors of memory performance in aging adults. Method We obtained harmonized memory scores from 11,601 females and 8,885 males from 7 cohorts of cognitive aging. We calculated scores using latent variable modeling techniques anchored on overlapping neuropsychological test items across datasets to perform both sex-stratified and sex-interaction genome-wide association studies in each cohort using mixed-effects regression models to assess genetic associations with baseline memory score and rate of memory decline. Covariates included age at baseline and population principal components. We then combined results in a fixed-effect meta-analysis. Results As expected, we observed robust associations at the APOE locus in males and females in both baseline and longitudinal models. Additionally, we identified a sex-specific locus for longitudinal memory performance (interaction-p=2.54e-6) on chromosome 7 within LINC-PINT that was genome-wide significant in males (index SNP= rs66754621; p=1.62e-8; MAF=0.20), but not females (p=0.65). This variant is in an enhancer region within several brain regions, as well as within a promoter-anchored chromatin interaction loop and a methylation eQTL in the prefrontal cortex. No female-specific loci were identified. Interestingly, we did observe nominal associations in baseline memory at some known AD loci, including male-specific effects at MS4A6A, FERMT2, and KAT8 (interaction ps=0.0026, 0.027, and 0.0058, respectively) and opposing effects between males and females at INPP5D (interaction p=0.0021). Conclusion These results highlight a novel male-specific locus of memory performance on ch
Published: 2021

10. Correction: Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation.

Author: Bis, JC, Jian, X, Kunkle, BW, Chen, Y, Hamilton-Nelson, KL, Bush, WS, Salerno, WJ, Lancour, D, Ma, Y, Renton, AE, Marcora, E, Farrell, JJ, Zhao, Y, Qu, L, Ahmad, S, Amin, N, Amouyel, P, Beecham, GW, Below, JE, Campion, D, Cantwell, L, Charbonnier, C, Chung, J, Crane, PK, Cruchaga, C, Cupples, LA, Dartigues, J-F, Debette, S, Deleuze, J-F, Fulton, L, Gabriel, SB, Genin, E, Gibbs, RA, Goate, A, Grenier-Boley, B, Gupta, N, Haines, JL, Havulinna, AS, Helisalmi, S, Hiltunen, M, Howrigan, DP, Ikram, MA, Kaprio, J, Konrad, J, Kuzma, A, Lander, ES, Lathrop, M, Lehtimäki, T, Lin, H, Mattila, K, Mayeux, R, Muzny, DM, Nasser, W, Neale, B, Nho, K, Nicolas, G, Patel, D, Pericak-Vance, MA, Perola, M, Psaty, BM, Quenez, O, Rajabli, F, Redon, R, Reitz, C, Remes, AM, Salomaa, V, Sarnowski, C, Schmidt, H, Schmidt, M, Schmidt, R, Soininen, H, Thornton, TA, Tosto, G, Tzourio, C, van der Lee, SJ, van Duijn, CM, Valladares, O, Vardarajan, B, Wang, L-S, Wang, W, Wijsman, E, Wilson, RK, Witten, D, Worley, KC, Zhang, X, Alzheimer’s Disease Sequencing Project, Bellenguez, C, Lambert, J-C, Kurki, MI, Palotie, A, Daly, M, Boerwinkle, E, Lunetta, KL, Destefano, AL, Dupuis, J, Martin, ER, Schellenberg, GD, Seshadri, S, Naj, AC, Fornage, M, Farrer, LA, Bis, JC, Jian, X, Kunkle, BW, Chen, Y, Hamilton-Nelson, KL, Bush, WS, Salerno, WJ, Lancour, D, Ma, Y, Renton, AE, Marcora, E, Farrell, JJ, Zhao, Y, Qu, L, Ahmad, S, Amin, N, Amouyel, P, Beecham, GW, Below, JE, Campion, D, Cantwell, L, Charbonnier, C, Chung, J, Crane, PK, Cruchaga, C, Cupples, LA, Dartigues, J-F, Debette, S, Deleuze, J-F, Fulton, L, Gabriel, SB, Genin, E, Gibbs, RA, Goate, A, Grenier-Boley, B, Gupta, N, Haines, JL, Havulinna, AS, Helisalmi, S, Hiltunen, M, Howrigan, DP, Ikram, MA, Kaprio, J, Konrad, J, Kuzma, A, Lander, ES, Lathrop, M, Lehtimäki, T, Lin, H, Mattila, K, Mayeux, R, Muzny, DM, Nasser, W, Neale, B, Nho, K, Nicolas, G, Patel, D, Pericak-Vance, MA, Perola, M, Psaty, BM, Quenez, O, Rajabli, F, Redon, R, Reitz, C, Remes, AM, Salomaa, V, Sarnowski, C, Schmidt, H, Schmidt, M, Schmidt, R, Soininen, H, Thornton, TA, Tosto, G, Tzourio, C, van der Lee, SJ, van Duijn, CM, Valladares, O, Vardarajan, B, Wang, L-S, Wang, W, Wijsman, E, Wilson, RK, Witten, D, Worley, KC, Zhang, X, Alzheimer’s Disease Sequencing Project, Bellenguez, C, Lambert, J-C, Kurki, MI, Palotie, A, Daly, M, Boerwinkle, E, Lunetta, KL, Destefano, AL, Dupuis, J, Martin, ER, Schellenberg, GD, Seshadri, S, Naj, AC, Fornage, M, and Farrer, LA
Abstract: A correction to this paper has been published and can be accessed via a link at the top of the paper.
Published: 2020

11. A novel Alzheimer disease locus located near the gene encoding tau protein

Author: Jun, G, Ibrahim-Verbaas, CA, Vronskaya, M, Lambert, J-C, Chung, J, Naj, AC, Kunkle, BW, Wang, L-S, Bis, JC, Bellenguez, C, Harold, D, Lunetta, KL, Destefano, AL, Grenier-Boley, B, Sims, R, Beecham, GW, Smith, AV, Chouraki, V, Hamilton-Nelson, KL, Ikram, MA, Fievet, N, Denning, N, Martin, ER, Schmidt, H, Kamatani, Y, Dunstan, ML, Valladares, O, Laza, AR, Zelenika, D, Ramirez, A, Foroud, TM, Choi, S-H, Boland, A, Becker, T, Kukull, WA, Van Der Lee, SJ, Pasquier, F, Cruchaga, C, Beekly, D, Fitzpatrick, AL, Hanon, O, Gill, M, Barber, R, Gudnason, V, Campion, D, Love, S, Bennett, DA, Amin, N, Berr, C, Tsolaki, Magda, Buxbaum, JD, Lopez, OL, Deramecourt, V, Fox, NC, Cantwell, LB, Tárraga, L, Dufouil, C, Hardy, J, Crane, PK, Eiriksdottir, G, Hannequin, D, Clarke, R, Evans, D, Mosley, TH, Letenneur, L, Brayne, C, Maier, W, De Jager, P, Emilsson, V, Dartigues, J-F, Hampel, H, Kamboh, MI, De Bruijn, RFAG, Tzourio, C, Pastor, P, Larson, EB, Rotter, JI, O'Donovan, MC, Montine, TJ, Nalls, MA, Mead, S, Reiman, EM, Jonsson, PV, Holmes, C, St George-Hyslop, PH, Boada, M, Passmore, P, Wendland, Schmidt, R, Morgan, K, Winslow, AR, Powell, JF, Carasquillo, M, Younkin, SG, Jakobsdóttir, J, Kauwe, JSK, Wilhelmsen, KC, Rujescu, D, Nöthen, MM, Hofman, A, Jones, L, IGAP Consortium, Haines, JL, Psaty, BM, Van Broeckhoven, C, Holmans, P, Launer, LJ, Mayeux, R, Lathrop, M, Goate, AM, Escott-Price, V, Seshadri, S, Pericak-Vance, MA, Amouyel, P, Williams, J, Van Duijn, CM, Schellenberg, GD, Farrer, LA, Chouraki, V [0000-0002-4698-1794], Amouyel, P [0000-0001-9088-234X], and Apollo - University of Cambridge Repository
Subjects: Alzheimer Disease, Apolipoprotein E4, Humans, tau Proteins, Polymorphism, Single Nucleotide, Chromosomes, Human, Pair 17, Genome-Wide Association Study
Abstract: APOE ɛ4, the most significant genetic risk factor for Alzheimer disease (AD), may mask effects of other loci. We re-analyzed genome-wide association study (GWAS) data from the International Genomics of Alzheimer's Project (IGAP) Consortium in APOE ɛ4+ (10 352 cases and 9207 controls) and APOE ɛ4- (7184 cases and 26 968 controls) subgroups as well as in the total sample testing for interaction between a single-nucleotide polymorphism (SNP) and APOE ɛ4 status. Suggestive associations (P
Published: 2019
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12. Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates A beta, tau, immunity and lipid processing (vol 51, pg 414, 2019)

Author: Kunkle, BW, Grenier-Boley, B, Sims, R, Bis, JC, Damotte, V, Naj, AC, Boland, A, Vronskaya, M, van der Lee, SJ, Amlie-Wolf, A, Bellenguez, C, Frizatti, A, Chouraki, V, Martin, ER, Sleegers, K, Badarinarayan, N, Jakobsdottir, J, Hamilton-Nelson, KL, Moreno-Grau, S, Olaso, R, Raybould, R, Chen, YN, Kuzma, AB, Hiltunen, M, Morgan, T, Ahmad, S, Vardarajan, BN, Epelbaum, J, Hoffmann, P, Boada, M, Beecham, GW, Garnier, JG, Harold, D, Fitzpatrick, AL, Valladares, O, Moutet, ML, Gerrish, A, Smith, AV, Qu, LM, Bacq, D, Denning, N, Jian, XQ, Zhao, Y, Del Zompo, M, Fox, NC, Choi, SH, Mateo, I, Hughes, JT, Adams, HH, Malamon, J, Sanchez-Garcia, F, Patel, Y, Brody, JA, Dombroski, BA, Naranjo, MCD, Daniilidou, M, Eiriksdottir, G, Mukherjee, S, Wallon, D, Uphill, J, Aspelund, T, Cantwell, LB, Garzia, F, Galimberti, D, Hofer, E, Butkiewicz, M, Fin, B, Scarpini, E, Sarnowski, C, Bush, WS, Meslage, S, Kornhuber, J, White, CC, Song, Y, Barber, RC, Engelborghs, S, Sordon, S, Voijnovic, D, Adams, PM, Vandenberghe, R, Mayhaus, M, Cupples, LA, Albert, MS, De Deyn, PP, Gu, W, Himali, JJ, Beekly, D, Squassina, A, Hartmann, AM, Orellana, A, Blacker, D, Rodriguez-Rodriguez, E, Lovestone, S, Garcia, ME, Doody, RS, Munoz-Fernadez, C, Sussams, R, Lin, HH, Fairchild, TJ, Benito, YA, Holmes, C, Karamujic-Comic, H, Frosch, MP, Thonberg, H, Maier, W, Roshchupkin, G, Ghetti, B, Giedraitis, V, Kawalia, A, Li, S, Huebinger, RM, Kilander, L, Moebus, S, Hernandez, I, Kamboh, MI, Brundin, R, Turton, J, Yang, Q, Katz, MJ, Concari, L, Lord, J, Beiser, AS, Keene, CD, Helisalmi, S, Kloszewska, I, Kukull, WA, Koivisto, AM, Lynch, A, Tarraga, L, Larson, EB, Haapasalo, A, Lawlor, B, Mosley, TH, Lipton, RB, Solfrizzi, V, Gill, M, Longstreth, WT, Montine, TJ, Frisardi, V, Diez-Fairen, M, Rivadeneira, F, Petersen, RC, Deramecourt, V, Alvarez, I, Salani, F, Ciaramella, A, Boerwinkle, E, Reiman, EM, Fievet, N, Rotter, JI, Reisch, JS, Hanon, O, Cupidi, C, Uitterlinden, AGA, Royall, DR, Dufouil, C, Maletta, RG, de Rojas, I, Sano, M, Brice, A, Cecchetti, R, St George-Hyslop, P, Ritchie, K, Tsolaki, M, Tsuang, DW, Dubois, B, Craig, D, Wu, CK, Soininen, H, Avramidou, D, Albin, RL, Fratiglioni, L, Germanou, A, Apostolova, LG, Keller, L, Koutroumani, M, Arnold, SE, Panza, F, Gkatzima, O, Asthana, S, Hannequin, D, Whitehead, P, Atwood, CS, Caffarra, P, Hampel, H, Quintela, I, Carracedo, A, Lannfelt, L, Rubinsztein, DC, Barnes, LL, Pasquier, F, Frolich, L, Barral, S, McGuinness, B, Beach, TG, Johnston, JA, Becker, JT, Passmore, P, Bigio, EH, Schott, JM, Bird, TD, Warren, JD, Boeve, BF, Lupton, MK, Bowen, JD, Proitsi, P, Boxer, A, Powell, JF, Burke, JR, Kauwe, JSK, Burns, JM, Mancuso, M, Buxbaum, JD, Bonuccelli, U, Cairns, NJ, McQuillin, A, Cao, CH, Livingston, G, Carlson, CS, Bass, NJ, Carlsson, CM, Hardy, J, Carney, RM, Bras, J, Carrasquillo, MM, Guerreiro, R, Allen, M, Chui, HC, Fisher, E, Masullo, C, Crocco, EA, DeCarli, C, Bisceglio, G, Dick, M, Ma, L, Duara, R, Graff-Radford, NR, Evans, DA, Hodges, A, Faber, KM, Scherer, M, Fallon, KB, Riemenschneider, M, Fardo, DW, Heun, R, Farlow, MR, Kolsch, H, Ferris, S, Leber, M, Foroud, TM, Heuser, I, Galasko, DR, Giegling, I, Gearing, M, Hull, M, Geschwind, DH, Gilbert, JR, Morris, J, Green, RC, Mayo, K, Growdon, JH, Feulner, T, Hamilton, RL, Harrell, LE, Drichel, D, Honig, LS, Cushion, TD, Huentelman, MJ, Hollingworth, P, Hulette, CM, Hyman, BT, Marshall, R, Jarvik, GP, Meggy, A, Abner, E, Menzies, GE, Jin, LW, Leonenko, G, Real, LM, Jun, GR, Baldwin, CT, Grozeva, D, Karydas, A, Russo, G, Kaye, JA, Kim, R, Jessen, F, Kowall, NW, Vellas, B, Kramer, JH, Vardy, E, LaFerla, FM, Jockel, KH, Lah, JJ, Dichgans, M, Leverenz, JB, Mann, D, Levey, AI, Pickering-Brown, S, Lieberman, AP, Klopp, N, Lunetta, KL, Wichmann, HE, Lyketsos, CG, Morgan, K, Marson, DC, Brown, K, Martiniuk, F, Medway, C, Mash, DC, Nothen, MM, Masliah, E, Hooper, NM, McCormick, WC, Daniele, A, McCurry, SM, Bayer, A, McDavid, AN, Gallacher, J, Mckee, AC, van den Bussche, H, Mesulam, M, Brayne, C, Miller, BL, Riedel-Heller, S, Miller, CA, Miller, JW, Al-Chalabi, A, Morris, JC, Shaw, CE, Myers, AJ, Wiltfang, J, O'Bryant, S, Olichney, JM, Alvarez, V, Parisi, JE, Singleton, AB, Paulson, HL, Collinge, J, Perry, WR, Mead, S, Peskind, E, Cribbs, DH, Rossor, M, Pierce, A, Ryan, NS, Poon, WW, Nacmias, B, Potter, H, Sorbi, S, Quinn, JF, Sacchinelli, E, Raj, A, Spalletta, G, Raskind, M, Caltagirone, C, Bossu, P, Orfei, MD, Reisberg, B, Clarke, R, Reitz, C, Smith, AD, Ringman, JM, Warden, D, Roberson, ED, Wilcock, G, Rogaeva, E, Bruni, AC, Rosen, HJ, Gallo, M, Rosenberg, RN, Ben-Shlomo, Y, Sager, MA, Mecocci, P, Saykin, AJ, Pastor, P, Cuccaro, ML, Vance, JM, Schneider, JA, Schneider, LS, Slifer, S, Seeley, WW, Smith, AG, Sonnen, JA, Spina, S, Stern, RA, Swerdlow, RH, Tang, M, Tanzi, RE, Trojanowski, JQ, Troncoso, JC, Van Deerlin, VM, Van Eldik, LJ, Vinters, HV, Vonsattel, JP, Weintraub, S, Welsh-Bohmer, KA, Wilhelmsen, KC, Williamson, J, Wingo, TS, Woltjer, RL, Wright, CB, Yu, CE, Yu, L, Saba, Y, Pilotto, A, Bullido, MJ, Peters, O, Crane, PK, Bennett, D, Bosco, P, Coto, E, Boccardi, V, De Jager, PL, Lleo, A, Warner, N, Lopez, OL, Ingelsson, M, Deloukas, P, Cruchaga, C, Graff, C, Gwilliam, R, Fornage, M, Goate, AM, Sanchez-Juan, P, Kehoe, PG, Amin, N, Ertekin-Taner, N, Berr, C, Debette, S, Love, S, Launer, LJ, Younkin, SG, Dartigues, JF, Corcoran, C, Ikram, MA, Dickson, DW, Nicolas, G, Campion, D, Tschanz, J, Schmidt, H, Hakonarson, H, Clarimon, J, Munger, R, Schmidt, R, Farrer, LA, Van Broeckhoven, C, O'Donovan, MC, DeStefano, AL, Jones, L, Haines, JL, Deleuze, JF, Owen, MJ, Gudnason, V, Mayeux, R, Escott-Price, V, Psaty, BM, Ramirez, A, Wang, LS, Ruiz, A, van Duijn, CM, Holmans, PA, Seshadri, S, Williams, J, Amouyel, P, Schellenberg, GD, Lambert, JC, Pericak-Vance, MA, ADGC, EADI, Cohorts Heart Aging Res Genomic, and Genetic Environm Risk AD Defining
Published: 2019

13. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Author: Chauhan, G, Adams, HHH, Satizabal, CL, Bis, JC, Teumer, A, Sargurupremraj, M, Hofer, E, Trompet, S, Hilal, S, Smith, AV, Jian, X, Malik, R, Traylor, M, Pulit, SL, Amouyel, P, Mazoyer, B, Zhu, YC, Kaffashian, S, Schilling, S, Beecham, GW, Montine, TJ, Schellenberg, GD, Kjartansson, O, Guðnason, V, Knopman, DS, Griswold, ME, Windham, BG, Gottesman, RF, Mosley, TH, Schmidt, R, Saba, Y, Schmidt, H, Takeuchi, F, Yamaguchi, S, Nabika, T, Kato, N, Rajan, KB, Aggarwal, NT, De Jager, PL, Evans, DA, Psaty, BM, Rotter, JI, Rice, K, Lopez, OL, Liao, J, Chen, C, Cheng, CY, Wong, TY, Ikram, MK, van der Lee, SJ, Amin, N, Chouraki, V, Destefano, AL, Aparicio, HJ, Romero, JR, Maillard, P, Decarli, C, Wardlaw, JM, Del C. Valdés Hernández, M, Luciano, M, Liewald, D, Deary, IJ, Starr, JM, Bastin, ME, Maniega, SM, Slagboom, PE, Beekman, M, Deelen, J, Uh, HW, Lemmens, R, Brodaty, H, Wright, MJ, Ames, D, Boncoraglio, GB, Hopewell, JC, Beecham, AH, Blanton, SH, Wright, CB, Sacco, RL, Wen, W, Thalamuthu, A, Armstrong, NJ, Chong, E, Schofield, PR, Kwok, JB, van der Grond, J, Stott, DJ, Ford, I, Jukema, JW, Vernooij, MW, Hofman, A, Uitterlinden, AG, van der Lugt, A, Wittfeld, K, Grabe, HJ, Hosten, N, von Sarnowski, B, Völker, U, Levi, C, Jimenez-Conde, J, Chauhan, G, Adams, HHH, Satizabal, CL, Bis, JC, Teumer, A, Sargurupremraj, M, Hofer, E, Trompet, S, Hilal, S, Smith, AV, Jian, X, Malik, R, Traylor, M, Pulit, SL, Amouyel, P, Mazoyer, B, Zhu, YC, Kaffashian, S, Schilling, S, Beecham, GW, Montine, TJ, Schellenberg, GD, Kjartansson, O, Guðnason, V, Knopman, DS, Griswold, ME, Windham, BG, Gottesman, RF, Mosley, TH, Schmidt, R, Saba, Y, Schmidt, H, Takeuchi, F, Yamaguchi, S, Nabika, T, Kato, N, Rajan, KB, Aggarwal, NT, De Jager, PL, Evans, DA, Psaty, BM, Rotter, JI, Rice, K, Lopez, OL, Liao, J, Chen, C, Cheng, CY, Wong, TY, Ikram, MK, van der Lee, SJ, Amin, N, Chouraki, V, Destefano, AL, Aparicio, HJ, Romero, JR, Maillard, P, Decarli, C, Wardlaw, JM, Del C. Valdés Hernández, M, Luciano, M, Liewald, D, Deary, IJ, Starr, JM, Bastin, ME, Maniega, SM, Slagboom, PE, Beekman, M, Deelen, J, Uh, HW, Lemmens, R, Brodaty, H, Wright, MJ, Ames, D, Boncoraglio, GB, Hopewell, JC, Beecham, AH, Blanton, SH, Wright, CB, Sacco, RL, Wen, W, Thalamuthu, A, Armstrong, NJ, Chong, E, Schofield, PR, Kwok, JB, van der Grond, J, Stott, DJ, Ford, I, Jukema, JW, Vernooij, MW, Hofman, A, Uitterlinden, AG, van der Lugt, A, Wittfeld, K, Grabe, HJ, Hosten, N, von Sarnowski, B, Völker, U, Levi, C, and Jimenez-Conde, J
Abstract: Objective To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. Methods We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n=20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. Results The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p[BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p[BI]= 4.4 × 10-10; p [SSBI] = 1.2 × 10 -4), diabetes (p[BI] = 1.7 × 10 -8; p [SSBI] = 2.8 × 10 -3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10 -24), and MRI-defined white matter hyperintensity burden (p [BI]=1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy. Conclusion In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significan
Published: 2019

14. Selective Genetic Overlap Between Amyotrophic Lateral Sclerosis and Diseases of the Frontotemporal Dementia Spectrum

Author: Karch, CM, Wen, N, Fan, CC, Yokoyama, JS, Kouri, N, Ross, OA, Hoeglinger, G, Mueller, U, Ferrari, R, Hardy, J, Schellenberg, GD, Sleiman, PM, Momeni, P, Hess, CP, Miller, BL, Sharma, M, Van Deerlin, V, Smeland, OB, Andreassen, OA, Dale, AM, Desikan, RS, FTD, IFD, Frontotemporal, IC, PS, PSP, and Co, IPDG
Subjects: International Frontotemporal Dementia (FTD)–Genomics Consortium, International Collaboration for Frontotemporal Dementia, Progressive Supranuclear Palsy (PSP) Genetics Consortium, and International Parkinson’s Disease Genomics Consortium
Abstract: Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder characterized by loss of upper and lower motor neurons. Although novel ALS genetic variants have been identified, the shared genetic risk between ALS and other neurodegenerative disorders remains poorly understood.To examine whether there are common genetic variants that determine the risk for ALS and other neurodegenerative diseases and to identify their functional pathways.In this study conducted from December 1, 2016, to August 1, 2017, the genetic overlap between ALS, sporadic frontotemporal dementia (FTD), FTD with TDP-43 inclusions, Parkinson disease (PD), Alzheimer disease (AD), corticobasal degeneration (CBD), and progressive supranuclear palsy (PSP) were systematically investigated in 124 876 cases and controls. No participants were excluded from this study. Diagnoses were established using consensus criteria.The primary outcomes were a list of novel loci and their functional pathways in ALS, FTD, PSP, and ALS mouse models.Among 124 876 cases and controls, genome-wide conjunction analyses of ALS, FTD, PD, AD, CBD, and PSP revealed significant genetic overlap between ALS and FTD at known ALS loci: rs13302855 and rs3849942 (nearest gene, C9orf72; P = .03 for rs13302855 and P = .005 for rs3849942) and rs4239633 (nearest gene, UNC13A; P = .03). Significant genetic overlap was also found between ALS and PSP at rs7224296, which tags the MAPT H1 haplotype (nearest gene, NSF; P = .045). Shared risk genes were enriched for pathways involving neuronal function and development. At a conditional FDR P
Published: 2018
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15. CXCR4 involvement in neurodegenerative diseases

Author: Bonham, LW, Karch, CM, Fan, CC, Tan, C, Geier, EG, Wang, Y, Wen, N, Broce, IJ, Li, Y, Barkovich, MJ, Ferrari, R, Hardy, J, Momeni, P, Höglinger, G, Müller, U, Hess, CP, Sugrue, LP, Dillon, WP, Schellenberg, GD, Miller, BL, Andreassen, OA, Dale, AM, Barkovich, AJ, Yokoyama, JS, Desikan, RS, Hernandez, DG, Nalls, MA, Rohrer, JD, Ramasamy, A, Kwok, JBJ, Dobson-Stone, C, Schofield, PR, Halliday, GM, Hodges, JR, Piguet, O, Bartley, L, Thompson, E, Haan, E, Hernández, I, Ruiz, A, Boada, M, Borroni, B, Padovani, A, Cruchaga, C, Cairns, NJ, Benussi, L, Binetti, G, Ghidoni, R, Forloni, G, Albani, D, Galimberti, D, Fenoglio, C, Serpente, M, Scarpini, E, Clarimón, J, Lleó, A, Blesa, R, Waldö, ML, Nilsson, K, Nilsson, C, MacKenzie, IRA, Hsiung, GYR, Mann, DMA, Grafman, J, Morris, CM, Attems, J, Griffiths, TD, McKeith, IG, Thomas, AJ, Pietrini, P, Huey, ED, Wassermann, EM, Baborie, A, Jaros, E, Tierney, MC, Pastor, P, Razquin, C, Ortega-Cubero, S, Alonso, E, Perneczky, R, Diehl-Schmid, J, Alexopoulos, P, Kurz, A, Rainero, I, Rubino, E, Pinessi, L, Rogaeva, E, George-Hyslop, PS, Rossi, G, Tagliavini, F, Giaccone, G, Rowe, JB, Schlachetzki, JCM, Uphill, J, Collinge, J, Mead, S, Danek, A, Van Deerlin, VM, Rowe, James [0000-0001-7216-8679], and Apollo - University of Cambridge Repository
Subjects: Receptors, CXCR4, Risk Factors, Animals, Brain, Gene Expression, Humans, Gene Regulatory Networks, Genetic Predisposition to Disease, Mice, Transgenic, Neurodegenerative Diseases, Microglia, Polymorphism, Single Nucleotide, Genome-Wide Association Study
Abstract: © 2017 The Author(s). Neurodegenerative diseases likely share common underlying pathobiology. Although prior work has identified susceptibility loci associated with various dementias, few, if any, studies have systematically evaluated shared genetic risk across several neurodegenerative diseases. Using genome-wide association data from large studies (total n = 82,337 cases and controls), we utilized a previously validated approach to identify genetic overlap and reveal common pathways between progressive supranuclear palsy (PSP), frontotemporal dementia (FTD), Parkinson's disease (PD) and Alzheimer's disease (AD). In addition to the MAPT H1 haplotype, we identified a variant near the chemokine receptor CXCR4 that was jointly associated with increased risk for PSP and PD. Using bioinformatics tools, we found strong physical interactions between CXCR4 and four microglia related genes, namely CXCL12, TLR2, RALB, and CCR5. Evaluating gene expression from post-mortem brain tissue, we found that expression of CXCR4 and microglial genes functionally related to CXCR4 was dysregulated across a number of neurodegenerative diseases. Furthermore, in a mouse model of tauopathy, expression of CXCR4 and functionally associated genes was significantly altered in regions of the mouse brain that accumulate neurofibrillary tangles most robustly. Beyond MAPT, we show dysregulation of CXCR4 expression in PSP, PD, and FTD brains, and mouse models of tau pathology. Our multi-modal findings suggest that abnormal signaling across a 'network' of microglial genes may contribute to neurodegeneration and may have potential implications for clinical trials targeting immune dysfunction in patients with neurodegenerative diseases.
Published: 2018
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16. Meta-analysis of genetic association with diagnosed Alzheimer's disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing

Author: Kunkle, BW, Grenier-Boley, B, Sims, R, Bis, JC, Naj, AC, Boland, A, Vronskaya, M, van der Lee, SJ, Amlie-Wolf, A, Bellenguez, C, Frizatti, A, Chouraki, V, Martin, ER, Sleegers, K, Badarinarayan, N, Jakobsdottir, J, Hamilton-Nelson, KL, Aloso, R, Raybould, R, Chen, Y, Kuzma, AB, Hiltunen, M, Morgan, T, Ahmad, S, Vardarajan, BN, Epelbaum, J, Hoffmann, P, Boada, M, Beecham, GW, Garnier, JG, Harold, D, Fitzpatrick, AL, Valladares, O, Moutet, ML, Gerrish, A, Smith, AV, Qu, L, Bacq, D, Denning, N, Jian, X, Zhao, Y, Zompo, MD, Fox, NC, Grove, ML, Choi, SH, Mateo, I, Hughes, JT, Adams, HH, Malamon, J, Garcia, FS, Patel, Y, Brody, JA, Dombroski, B, Naranjo, MCD, Daniilidou, M, Eiriksdottir, G, Mukherjee, S, Wallon, D, Uphill, J, Aspelund, T, Cantwell, LB, Garzia, F, Galimberti, D, Hofer, E, Butkiewics, M, Fin, B, Scarpini, E, Sarnowski, C, Bush, W, Meslage, S, Kornhuber, J, White, CC, Song, Y, Barber, RC, Engelborghs, S, Pichler, S, Voijnovic, D, Adams, PM, Vandenberghe, R, Mayhaus, M, Cupples, LA, Albert, MS, De Deyn, PP, Gu, W, Himali, JJ, Beekly, D, Squassina, A, Hartmann, AM, Orellana, A, Blacker, D, Rodriguez-Rodriguez, E, Lovestone, S, Garcia, ME, Doody, RS, Fernadez, CM, Sussams, R, Lin, H, Fairchild, TJ, Benito, YA, Holmes, C, Comic, H, Frosch, MP, Thonberg, H, Maier, W, Roschupkin, G, Ghetti, B, Giedraitis, V, Kawalia, A, Li, S, Huebinger, RM, Kilander, L, Moebus, S, Hernández, I, Kamboh, MI, Brundin, R, Turton, J, Yang, Q, Katz, MJ, Concari, L, Lord, J, Beiser, AS, Keene, CD, Helisalmi, S, Kloszewska, I, Kukull, WA, Koivisto, AM, Lynch, A, Tarraga, L, Larson, EB, Haapasalo, A, Lawlor, B, Mosley, TH, Lipton, RB, Solfrizzi, V, Gill, M, Longstreth Jr, WT, Montine, TJ, Frisardi, V, Ortega-Cubero, S, Rivadeneira, F, Petersen, RC, Deramecourt, V, Ciaramella, A, Boerwinkle, E, Reiman, EM, Fievet, N, Caltagirone, C, Rotter, JI, Reisch, JS, Hanon, O, Cupidi, C, Uitterlinden, AG, Royall, DR, Dufouil, C, Maletta, RG, Moreno-Grau, S, Sano, M, Brice, A, Cecchetti, R, St George-Hyslop, P, Ritchie, K, Tsolaki, M, Tsuang, DW, Dubois, B, Craig, D, Wu, CK, Soininen, H, Avramidou, D, Albin, RL, Fratiglioni, L, Germanou, A, Apostolova, LG, Keller, L, Koutroumani, M, Arnold, SE, Panza, F, Gkatzima, O, Asthana, S, Hannequin, D, Whitehead, P, Atwood, CS, Caffarra, P, Hampel, H, Baldwin, CT, Lannfelt, L, Rubinsztein, DC, Barnes, LL, Pasquier, F, Frölich, L, Barral, S, McGuinness, B, Beach, TG, Johnston, JI, Becker, JT, Passmore, P, Bigio, EH, Schott, JM, Bird, TD, Warren, JD, Boeve, BF, Lupton, MK, Bowen, JD, Proitsi, P, Boxer, A, Powell, JF, Burke, JR, Kauwe, JK, Burns, JM, Mancuso, M, Buxbaum, JD, Bonuccelli, U, Cairns, NJ, McQuillin, A, Cao, C, Livingston, G, Carlson, CS, Bass, NJ, Carlsson, CM, Hardy, J, Carney, RM, Bras, J, Carrasquillo, MM, Guerreiro, R, Allen, M, Chui, HC, Fisher, E, Cribbs, DH, Masullo, C, Crocco, EA, DeCarli, C, Bisceglio, G, Dick, M, Ma, L, Duara, R, Graff-Radford, NR, Evans, DA, Hodges, A, Faber, KM, Scherer, M, Fallon, KB, Riemenschneider, M, Fardo, DW, Heun, R, Farlow, MR, Ferris, S, Leber, M, Foroud, TM, Heuser, I, Galasko, DR, Giegling, I, Gearing, M, Hüll, M, Geschwind, DH, Gilbert, JR, Morris, J, Green, RC, Mayo, K, Growdon, JH, Feulner, T, Hamilton, RL, Harrell, LE, Drichel, D, Honig, LS, Cushion, TD, Huentelman, MJ, Hollingworth, P, Hulette, CM, Hyman, BT, Marshall, R, Jarvik, GP, Meggy, A, Abner, E, Menzies, G, Jin, LW, Leonenko, G, Jun, G, Grozeva, D, Karydas, A, Russo, G, Kaye, JA, Kim, R, Jessen, F, Kowall, NW, Vellas, B, Kramer, JH, Vardy, E, LaFerla, FM, Jöckel, KH, Lah, JJ, Dichgans, M, Leverenz, JB, Mann, D, Levey, AI, Pickering-Brown, S, Lieberman, AP, Klopp, N, Lunetta, KL, Wichmann, HE, Lyketsos, CG, Morgan, K, Marson, DC, Brown, K, Martiniuk, F, Medway, C, Mash, DC, Nöthen, MM, Masliah, E, Hooper, NM, McCormick, WC, Daniele, A, McCurry, SM, Bayer, A, McDavid, AN, Gallacher, J, McKee, AC, van den Bussche, H, Mesulam, M, Brayne, C, Miller, BL, Riedel-Heller, S, Miller, CA, Miller, JW, Al-Chalabi, A, Morris, JC, Shaw, CE, Myers, AJ, Wiltfang, J, O’Bryant, S, Coto, E, Olichney, JM, Alvarez, V, Parisi, JE, Singleton, AB, Paulson, HL, Collinge, J, Perry, W, Mead, S, Peskind, E, Rosser, M, Pierce, A, Ryan, N, Poon, WW, Nacmias, B, Potter, H, Sorbi, S, Quinn, JF, Sacchinelli, E, Raj, A, Spalletta, G, Raskind, M, Bossù, P, Reisberg, B, Clarke, R, Reitz, C, Smith, AD, Ringman, JM, Warden, D, Roberson, ED, Wilcock, G, Rogaeva, E, Bruni, AC, Rosen, HJ, Gallo, M, Rosenberg, RN, Ben-Shlomo, Y, Sager, MA, Mecocci, P, Saykin, AJ, Pastor, P, Cuccaro, ML, Vance, JM, Schneider, JA, Schneider, LS, Seeley, WW, Smith, AG, Sonnen, JA, Spina, S, Stern, RA, Swerdlow, RH, Tanzi, RE, Trojanowski, JQ, Troncoso, JC, Van Deerlin, VM, Van Eldik, LJ, Vinters, HV, Vonsattel, JP, Weintraub, S, Welsh-Bohmer, KA, Wilhelmsen, KC, Williamson, J, Wingo, TS, Woltjer, RL, Wright, CB, Yu, CE, Yu, L, Crane, PK, Bennett, DA, Boccardi, V, De Jager, PL, Warner, N, Lopez, OL, McDonough, S, Ingelsson, M, Deloukas, P, Cruchaga, C, Graff, C, Gwilliam, R, Fornage, M, Goate, AM, Sanchez-Juan, P, Kehoe, PG, Amin, N, Ertekin-Taner, N, Berr, C, Debette, S, Love, S, Launer, LJ, Younkin, SG, Dartigues, JF, Corcoran, C, Ikram, MA, Dickson, DW, Campion, D, Tschanz, J, Schmidt, H, Hakonarson, H, Munger, R, Schmidt, R, Farrer, LA, Van Broeckhoven, C, O’Donovan, MC, DeStefano, AL, Jones, L, Haines, JL, Deleuze, JF, Owen, MJ, Gudnason, V, Mayeux, R, Escott-Price, V, Psaty, BM, Ruiz, A, Ramirez, A, Wang, LS, van Duijn, CM, Holmans, PA, Seshadri, S, Williams, J, Amouyel, P, Schellenberg, GD, Lambert, JC, Pericak-Vance, MA, Bis, JC [0000-0002-3409-1110], Garnier, JG [0000-0003-4991-763X], Smith, AV [0000-0001-9088-234X], Denning, N [0000-0001-8467-7382], Vandenberghe, R [0000-0001-6237-2502], Himali, JJ [0000-0003-1391-9481], Rodriguez-Rodriguez, E [0000-0001-7742-677X], Frisardi, V [0000-0003-0764-7387], Ortega-Cubero, S [0000-0003-0520-9439], Hanon, O [0000-0002-4697-122X], Brice, A [0000-0002-0941-3990], Albin, RL [0000-0002-0629-608X], Buxbaum, JD [0000-0001-8898-8313], Bass, NJ [0000-0002-4481-778X], Fisher, E [0000-0003-2850-9936], Bayer, A [0000-0002-7514-248X], Gallacher, J [0000-0002-2394-5299], Brayne, C [0000-0001-5307-663X], Riedel-Heller, S [0000-0003-4321-6090], Al-Chalabi, A [0000-0002-4924-7712], and Apollo - University of Cambridge Repository
Subjects: Aging, 4202 Epidemiology, Genome-wide association study, Disease, Neurodegenerative, Biology, 3101 Biochemistry and Cell Biology, Alzheimer's Disease, 3105 Genetics, 03 medical and health sciences, 0302 clinical medicine, Clinical Research, Acquired Cognitive Impairment, Genetics, medicine, 2.1 Biological and endogenous factors, Dementia, Gene, 030304 developmental biology, Genetic association, 2 Aetiology, 0303 health sciences, Prevention, Human Genome, 42 Health Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Lipid metabolism, medicine.disease, Brain Disorders, 3. Good health, Meta-analysis, Neurological, Alzheimer's disease, 030217 neurology & neurosurgery, 31 Biological Sciences
Abstract: IntroductionLate-onset Alzheimer’s disease (LOAD, onset age > 60 years) is the most prevalent dementia in the elderly1, and risk is partially driven by genetics2. Many of the loci responsible for this genetic risk were identified by genome-wide association studies (GWAS)3–8. To identify additional LOAD risk loci, the we performed the largest GWAS to date (89,769 individuals), analyzing both common and rare variants. We confirm 20 previous LOAD risk loci and identify four new genome-wide loci (IQCK, ACE, ADAM10, and ADAMTS1). Pathway analysis of these data implicates the immune system and lipid metabolism, and for the first time tau binding proteins and APP metabolism. These findings show that genetic variants affecting APP and Aβ processing are not only associated with early-onset autosomal dominant AD but also with LOAD. Analysis of AD risk genes and pathways show enrichment for rare variants (P = 1.32 × 10−7) indicating that additional rare variants remain to be identified.
Published: 2018
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17. Polygenic hazard score: an enrichment marker for Alzheimer’s associated amyloid and tau deposition

Author: Tan, CH, Fan, CC, Mormino, EC, Sugrue, LP, Broce, IJ, Hess, CP, Dillon, WP, Bonham, LW, Yokoyama, JS, Karch, CM, Brewer, JB, Rabinovici, GD, Miller, BL, Schellenberg, GD, Kauppi, K, Feldman, HA, Holland, D, McEvoy, LK, Hyman, BT, Bennett, DA, Andreassen, OA, Dale, AM, and Desikan, RS
Subjects: mental disorders
Abstract: © 2017, Springer-Verlag GmbH Germany, part of Springer Nature. There is an urgent need for identifying nondemented individuals at the highest risk of progressing to Alzheimer’s disease (AD) dementia. Here, we evaluated whether a recently validated polygenic hazard score (PHS) can be integrated with known in vivo cerebrospinal fluid (CSF) or positron emission tomography (PET) biomarkers of amyloid, and CSF tau pathology to prospectively predict cognitive and clinical decline in 347 cognitive normal (CN; baseline age range = 59.7–90.1, 98.85% white) and 599 mild cognitively impaired (MCI; baseline age range = 54.4–91.4, 98.83% white) individuals from the Alzheimer’s Disease Neuroimaging Initiative 1, GO, and 2. We further investigated the association of PHS with post-mortem amyloid load and neurofibrillary tangles in the Religious Orders Study and Memory and Aging Project (ROSMAP) cohort (N = 485, age at death range = 71.3–108.3). In CN and MCI individuals, we found that amyloid and total tau positivity systematically varies as a function of PHS. For individuals in greater than the 50th percentile PHS, the positive predictive value for amyloid approached 100%; for individuals in less than the 25th percentile PHS, the negative predictive value for total tau approached 85%. High PHS individuals with amyloid and tau pathology showed the steepest longitudinal cognitive and clinical decline, even among APOE ε4 noncarriers. Among the CN subgroup, we similarly found that PHS was strongly associated with amyloid positivity and the combination of PHS and biomarker status significantly predicted longitudinal clinical progression. In the ROSMAP cohort, higher PHS was associated with higher post-mortem amyloid load and neurofibrillary tangles, even in APOE ε4 noncarriers. Together, our results show that even after accounting for APOE ε4 effects, PHS may be useful in MCI and preclinical AD therapeutic trials to enrich for biomarker-positive individuals at highest risk for short-term clinical progression.
Published: 2018
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18. Immune-related genetic enrichment in frontotemporal dementia: An analysis of genome-wide association studies

Author: Broce, I, Karch, CM, Wen, N, Fan, CC, Wang, Y, Hong Tan, C, Kouri, N, Ross, OA, Höglinger, GU, Muller, U, Hardy, J, Momeni, P, Hess, CP, Dillon, WP, Miller, ZA, Bonham, LW, Rabinovici, GD, Rosen, HJ, Schellenberg, GD, Franke, A, Karlsen, TH, Veldink, JH, Ferrari, R, Yokoyama, JS, Miller, BL, Andreassen, OA, Dale, AM, Desikan, RS, Sugrue, LP, Hernandez, DG, Nalls, MA, Rohrer, JD, Ramasamy, A, Kwok, JBJ, Dobson-Stone, C, Brooks, WS, Schofield, PR, Halliday, GM, Hodges, JR, Piguet, O, Bartley, L, Thompson, E, Haan, E, Hernández, I, Ruiz, A, Boada, M, Borroni, B, Padovani, A, Cruchaga, C, Cairns, NJ, Benussi, L, Binetti, G, Ghidoni, R, Forloni, G, Albani, D, Galimberti, D, Fenoglio, C, Serpente, M, Scarpini, E, Clarimón, J, Lleó, A, Blesa, R, Landqvist Waldö, M, Nilsson, K, Nilsson, C, Mackenzie, IRA, Hsiung, GYR, Mann, DMA, and Grafman, J
Subjects: International FTD-Genomics Consortium, mental disorders, nutritional and metabolic diseases, nervous system diseases
Abstract: © 2018 Broce et al. Background: Converging evidence suggests that immune-mediated dysfunction plays an important role in the pathogenesis of frontotemporal dementia (FTD). Although genetic studies have shown that immune-associated loci are associated with increased FTD risk, a systematic investigation of genetic overlap between immune-mediated diseases and the spectrum of FTD-related disorders has not been performed. Methods and findings: Using large genome-wide association studies (GWASs) (total n = 192,886 cases and controls) and recently developed tools to quantify genetic overlap/pleiotropy, we systematically identified single nucleotide polymorphisms (SNPs) jointly associated with FTD-related disorders—namely, FTD, corticobasal degeneration (CBD), progressive supranuclear palsy (PSP), and amyotrophic lateral sclerosis (ALS)—and 1 or more immune-mediated diseases including Crohn disease, ulcerative colitis (UC), rheumatoid arthritis (RA), type 1 diabetes (T1D), celiac disease (CeD), and psoriasis. We found up to 270-fold genetic enrichment between FTD and RA, up to 160-fold genetic enrichment between FTD and UC, up to 180-fold genetic enrichment between FTD and T1D, and up to 175-fold genetic enrichment between FTD and CeD. In contrast, for CBD and PSP, only 1 of the 6 immune-mediated diseases produced genetic enrichment comparable to that seen for FTD, with up to 150-fold genetic enrichment between CBD and CeD and up to 180-fold enrichment between PSP and RA. Further, we found minimal enrichment between ALS and the immune-mediated diseases tested, with the highest levels of enrichment between ALS and RA (up to 20-fold). For FTD, at a conjunction false discovery rate < 0.05 and after excluding SNPs in linkage disequilibrium, we found that 8 of the 15 identified loci mapped to the human leukocyte antigen (HLA) region on Chromosome (Chr) 6. We also found novel candidate FTD susceptibility loci within LRRK2 (leucine rich repeat kinase 2), TBKBP1 (TBK1 binding protein 1), and PGBD5 (piggyBac transposable element derived 5). Functionally, we found that the expression of FTD–immune pleiotropic genes (particularly within the HLA region) is altered in postmortem brain tissue from patients with FTD and is enriched in microglia/macrophages compared to other central nervous system cell types. The main study limitation is that the results represent only clinically diagnosed individuals. Also, given the complex interconnectedness of the HLA region, we were not able to define the specific gene or genes on Chr 6 responsible for our pleiotropic signal. Conclusions: We show immune-mediated genetic enrichment specifically in FTD, particularly within the HLA region. Our genetic results suggest that for a subset of patients, immune dysfunction may contribute to FTD risk. These findings have potential implications for clinical trials targeting immune dysfunction in patients with FTD.
Published: 2018
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19. Genetic influences on cognition in progressive supranuclear palsy

Author: Gerstenecker, A, Roberson, ED, Schellenberg, GD, Standaert, DG, Shprecher, DR, Kluger, BM, and Litvan, I
Subjects: Male, cognition, Genotype, Eukaryotic Initiation Factor-3, Clinical Sciences, tau Proteins, Neuropsychological Tests, Cohort Studies, Progressive, MAPT, Humans, Supranuclear Palsy, GWAS, Genetic Predisposition to Disease, Aged, Neurology & Neurosurgery, Qa-SNARE Proteins, Neurosciences, progressive supranuclear palsy, Human Movement and Sports Sciences, Middle Aged, Mutation, Female, Cognition Disorders, Myelin Proteins, Genome-Wide Association Study
Abstract: BackgroundCognitive dysfunction is common in progressive supranuclear palsy, but the influence of genetics on cognition in this disorder has not been well studied. The objective of this study was to investigate the effect of genes previously identified as risk alleles, including microtubule-associated protein tau, myelin-associated oligodendrocyte basic protein, eukaryotic translation initiation factor 2-alpha kinase 3, and syntaxin 6, as well as apolipoprotein E, on cognitive function in progressive supranuclear palsy.MethodsThe sample was composed of 305 participants who met criteria for possible or probable progressive supranuclear palsy. Genetic information was determined by TaqMan genotyping assays. A neuropsychological battery was administered to all study participants. Measures included in the battery evaluated for general cognition, executive function, memory, attention, language, and visuospatial ability.ResultsCognition did not vary significantly between individuals homozygous or heterozygous for the microtubule-associated protein tau H1 haplotype. However, cognition varied significantly at the subhaplotype level, with carriers of the microtubule-associated protein tau rs242557/A allele, which marks the H1c subhaplotype, performing better than noncarriers on measures of general cognitive function, executive function, and attention. No associations were found for other genes.ConclusionsThe results of the current study indicate that variations in microtubule-associated protein tau influence cognition in progressive supranuclear palsy. Although the H1c-specific rs242557/A allele is a risk factor for progressive supranuclear palsy, carriers of this allele may exhibit better cognition than non-carriers in patients with the atypical parkinsonian syndrome. Further studies are needed. © 2017 International Parkinson and Movement Disorder Society.
Published: 2017
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20. Genetic architecture of sporadic frontotemporal dementia and overlap with Alzheimer’s and Parkinson’s diseases

Author: Ferrari R, Wang Y, Vandrovcova J, Guelfi S, Witeolar A, Karch CM, Schork AJ, Fan CC, Brewer JB, International FTD-Genomics Consortium (IFGC), International Parkinson's Disease Genomics Consortium (IPDGC), International Genomics of Alzheimer's Project (IGAP), Momeni P, Schellenberg GD, Dillon WP, Sugrue LP, Hess CP, Yokoyama JS, Bonham LW, Rabinovici GD, Miller BL, Andreassen OA, Dale AM, Hardy J, Desikan RS, Collaborators: Ferrari R, Hernandez DG, Nalls MA, Rohrer JD, Ramasamy A, Kwok JBJ, Dobson-Stone C, Schofield PR, Halliday GM, Hodges JR, Piguet O, Bartley L, Thompson E, Haan E, Hernández I, Ruiz A, Boada M, Borroni B, Padovani A, Cruchaga C, Cairns NJ, Benussi L, Binetti G, Ghidoni R, Forloni G, Albani D, Galimberti D, Fenoglio C, Serpente M, Scarpini E, Clarimón J, Lleó A, Blesa R, Landqvist Waldö M, Nilsson C, Mackenzie IRA, Hsiung GYR, Mann DMA, Grafman J, Morris CM, Attems J, Griffiths TD, McKeith IG, Thomas AJ, Pietrini P, Huey ED, Wassermann EM, Baborie A, Jaros E, Tierney MC, Pastor P, Razquin C, Ortega-Cubero S, Alonso E, Perneczky R, Diehl-Schmid J, Alexopoulos P, Kurz A, Rainero I, Rubino E, Pinessi L, Rogaeva E, St George-Hyslop P, Rossi G, Tagliavini F, Giaccone G, Rowe JB, Schlachetzki JCM, Uphill J, Collinge J, Mead S, Danek A, Van Deerlin VM, Grossman M, Trojanowski JQ, van der Zee J, Cruts M, Van Broeckhoven C, Cappa SF, Leber I, Hannequin D, Golfier V, Vercelletto M, Brice A, Nacmias B, Sorbi S, Bagnoli S, Piaceri I, Nielsen JE, Hjermind LE, Riemenschneider M, Mayhaus M, Ibach B, Gasparoni G, Pichler S, Gu W, Rossor MN, Fox NC, Warren JD, Spillantini MG, Morris HR, Rizzu P, Heutink P, Snowden JS, Rollinson S, Richardson A, Gerhard A, Bruni AC, Maletta R, Frangipane F, Cupidi C, Bernardi L, Anfossi M, Gallo M, Conidi ME, Smirne N, Rademakers R, Baker M, Dickson DW, Graff-Radford NR, Petersen RC, Knopman D, Josephs KA, Boeve BF, Parisi JE, Seeley WW, Karydas AM, Rosen H, van Swieten JC, Dopper EG, Seelaar H, Pijnenburg YAL, Scheltens P, Logroscino G, Capozzo R, Novelli V, Puca AA, Franceschi M, Postiglione A, Milan G, Sorrentino P, Kristiansen M, Chiang HH, Graff C, Pasquier F, Rollin A, Deramecourt V, Lebouvier T, Kapogiannis D, Ferrucci L, Pickering-Brown S, Singleton AB, Momeni P., Neurology, VU University medical center, Human genetics, Amsterdam Neuroscience - Neurodegeneration, CCA - Imaging and biomarkers, Divisions, Van Broeckhoven, Christine, Rademakers, Rosa, International FTD-Genomics Consortium (IFGC), International Parkinson's Disease Genomics Consortium (IPDGC), International Genomics of Alzheimer's Project (IGAP), Ferrari, R, Wang, Y, Vandrovcova, J, Guelfi, S, Witeolar, A, Karch, Cm, Schork, Aj, Fan, Cc, Brewer, Jb, International FTD-Genomics Consortium, (IFGC), International Parkinson's Disease Genomics Consortium, (IPDGC), International Genomics of Alzheimer's Project, (IGAP), Momeni, P, Schellenberg, Gd, Dillon, Wp, Sugrue, Lp, Hess, Cp, Yokoyama, J, Bonham, Lw, Rabinovici, Gd, Miller, Bl, Andreassen, Oa, Dale, Am, Hardy, J, Desikan, R, Collaborators: Ferrari, R, Hernandez, Dg, Nalls, Ma, Rohrer, Jd, Ramasamy, A, Kwok, Jbj, Dobson-Stone, C, Schofield, Pr, Halliday, Gm, Hodges, Jr, Piguet, O, Bartley, L, Thompson, E, Haan, E, Hernández, I, Ruiz, A, Boada, M, Borroni, B, Padovani, A, Cruchaga, C, Cairns, Nj, Benussi, L, Binetti, G, Ghidoni, R, Forloni, G, Albani, D, Galimberti, D, Fenoglio, C, Serpente, M, Scarpini, E, Clarimón, J, Lleó, A, Blesa, R, Landqvist Waldö, M, Nilsson, C, Mackenzie, Ira, Hsiung, Gyr, Mann, Dma, Grafman, J, Morris, Cm, Attems, J, Griffiths, Td, Mckeith, Ig, Thomas, Aj, Pietrini, P, Huey, Ed, Wassermann, Em, Baborie, A, Jaros, E, Tierney, Mc, Pastor, P, Razquin, C, Ortega-Cubero, S, Alonso, E, Perneczky, R, Diehl-Schmid, J, Alexopoulos, P, Kurz, A, Rainero, I, Rubino, E, Pinessi, L, Rogaeva, E, St George-Hyslop, P, Rossi, G, Tagliavini, F, Giaccone, G, Rowe, Jb, Schlachetzki, Jcm, Uphill, J, Collinge, J, Mead, S, Danek, A, Van Deerlin, Vm, Grossman, M, Trojanowski, Jq, van der Zee, J, Cruts, M, Van Broeckhoven, C, Cappa, Sf, Leber, I, Hannequin, D, Golfier, V, Vercelletto, M, Brice, A, Nacmias, B, Sorbi, S, Bagnoli, S, Piaceri, I, Nielsen, Je, Hjermind, Le, Riemenschneider, M, Mayhaus, M, Ibach, B, Gasparoni, G, Pichler, S, Gu, W, Rossor, Mn, Fox, Nc, Warren, Jd, Spillantini, Mg, Morris, Hr, Rizzu, P, Heutink, P, Snowden, J, Rollinson, S, Richardson, A, Gerhard, A, Bruni, Ac, Maletta, R, Frangipane, F, Cupidi, C, Bernardi, L, Anfossi, M, Gallo, M, Conidi, Me, Smirne, N, Rademakers, R, Baker, M, Dickson, Dw, Graff-Radford, Nr, Petersen, Rc, Knopman, D, Josephs, Ka, Boeve, Bf, Parisi, Je, Seeley, Ww, Karydas, Am, Rosen, H, van Swieten, Jc, Dopper, Eg, Seelaar, H, Pijnenburg, Yal, Scheltens, P, Logroscino, G, Capozzo, R, Novelli, V, Puca, Aa, Franceschi, M, Postiglione, A, Milan, G, Sorrentino, P, Kristiansen, M, Chiang, Hh, Graff, C, Pasquier, F, Rollin, A, Deramecourt, V, Lebouvier, T, Kapogiannis, D, Ferrucci, L, Pickering-Brown, S, Singleton, Ab, and Momeni, P.
Subjects: 0301 basic medicine, Genotype, Single-nucleotide polymorphism, Genome-wide association study, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, 0302 clinical medicine, Alzheimer Disease, mental disorders, Genetic Pleiotropy, Genetic predisposition, Medicine, Humans, Genetic Predisposition to Disease, Allele, Polymorphism, Biology, Alleles, Genetic association, Genetics, business.industry, Frontotemporal Dementia, Genome-Wide Association Study, Parkinson Disease, Surgery, Neurology (clinical), Psychiatry and Mental Health, Single Nucleotide, medicine.disease, Genetic architecture, nervous system diseases, 030104 developmental biology, Human medicine, business, Neuroscience, 030217 neurology & neurosurgery, Frontotemporal dementia
Abstract: Background Clinical, pathological and genetic overlap between sporadic frontotemporal dementia (FTD), Alzheimer9s disease (AD) and Parkinson9s disease (PD) has been suggested; however, the relationship between these disorders is still not well understood. Here we evaluated genetic overlap between FTD, AD and PD to assess shared pathobiology and identify novel genetic variants associated with increased risk for FTD. Methods Summary statistics were obtained from the International FTD Genomics Consortium, International PD Genetics Consortium and International Genomics of AD Project (n>75 000 cases and controls). We used conjunction false discovery rate (FDR) to evaluate genetic pleiotropy and conditional FDR to identify novel FTD-associated SNPs. Relevant variants were further evaluated for expression quantitative loci. Results We observed SNPs within the HLA , MAPT and APOE regions jointly contributing to increased risk for FTD and AD or PD. By conditioning on polymorphisms associated with PD and AD, we found 11 loci associated with increased risk for FTD. Meta-analysis across two independent FTD cohorts revealed a genome-wide signal within the APOE region (rs6857, 3′-UTR= PVRL2 , p=2.21×10 –12 ), and a suggestive signal for rs1358071 within the MAPT region (intronic= CRHR1 , p=4.91×10 −7 ) with the effect allele tagging the H1 haplotype. Pleiotropic SNPs at the HLA and MAPT loci associated with expression changes in cis -genes supporting involvement of intracellular vesicular trafficking, immune response and endo/lysosomal processes. Conclusions Our findings demonstrate genetic pleiotropy in these neurodegenerative diseases and indicate that sporadic FTD is a polygenic disorder where multiple pleiotropic loci with small effects contribute to increased disease risk.
Published: 2016
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21. Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia

Author: Anney, RJL, Ripke, S, Anttila, V, Grove, J, Holmans, P, Huang, H, Klei, L, Lee, PH, Medland, SE, Neale, B, Robinson, E, Weiss, LA, Zwaigenbaum, L, Yu, TW, Wittemeyer, K, Willsey, AJ, Wijsman, EM, Werge, T, Wassink, TH, Waltes, R, Walsh, CA, Wallace, S, Vorstman, JAS, Vieland, VJ, Vicente, AM, Vanengeland, H, Tsang, K, Thompson, AP, Szatmari, P, Svantesson, O, Steinberg, S, Stefansson, K, Stefansson, H, State, MW, Soorya, L, Silagadze, T, Scherer, SW, Schellenberg, GD, Sandin, S, Sanders, SJ, Saemundsen, E, Rouleau, GA, Rogé, B, Roeder, K, Roberts, W, Reichert, J, Reichenberg, A, Rehnström, K, Regan, R, Poustka, F, Poultney, CS, Piven, J, Pinto, D, Pericak-Vance, MA, Pejovic-Milovancevic, M, Pedersen, MG, Pedersen, CB, Paterson, AD, and Parr, JR
Subjects: mental disorders
Abstract: © 2017 The Author(s). Background: Over the past decade genome-wide association studies (GWAS) have been applied to aid in the understanding of the biology of traits. The success of this approach is governed by the underlying effect sizes carried by the true risk variants and the corresponding statistical power to observe such effects given the study design and sample size under investigation. Previous ASD GWAS have identified genome-wide significant (GWS) risk loci; however, these studies were of only of low statistical power to identify GWS loci at the lower effect sizes (odds ratio (OR)
Published: 2017
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22. Genetic architecture of sporadic frontotemporal dementia and overlap with Alzheimer's and Parkinson's diseases

Author: Ferrari, R, Wang, Y, Vandrovcova, J, Guelfi, S, Witeolar, A, Karch, CM, Schork, AJ, Fan, CC, Brewer, JB, Momeni, P, Schellenberg, GD, Dillon, WP, Sugrue, LP, Hess, CP, Yokoyama, JS, Bonham, LW, Rabinovici, GD, Miller, BL, Andreassen, OA, Dale, AM, Hardy, J, Desikan, RS, Hernandez, DG, Nalls, MA, Rohrer, JD, Ramasamy, A, Kwok, JBJ, Dobson-Stone, C, Schofield, PR, Halliday, GM, Hodges, JR, Piguet, O, Bartley, L, Thompson, E, Haan, E, Hernández, I, Ruiz, A, Boada, M, Borroni, B, Padovani, A, Cruchaga, C, Cairns, NJ, Benussi, L, Binetti, G, Ghidoni, R, Forloni, G, Albani, D, Galimberti, D, Fenoglio, C, Serpente, M, Scarpini, E, Clarimón, J, Lleó, A, Blesa, R, Landqvist Waldö, M, Nilsson, K, Nilsson, C, Mackenzie, IRA, Hsiung, GYR, Mann, DMA, Grafman, J, Morris, CM, Attems, J, Griffiths, TD, McKeith, IG, Thomas, AJ, Pietrini, P, Huey, ED, Wassermann, EM, Baborie, A, Jaros, E, Tierney, MC, Pastor, P, Razquin, C, Ortega-Cubero, S, Alonso, E, Perneczky, R, Diehl-Schmid, J, Alexopoulos, P, Kurz, A, Rainero, I, Rubino, E, Pinessi, L, Rogaeva, E, St George-Hyslop, P, Rossi, G, Tagliavini, F, Giaccone, G, Rowe, JB, Schlachetzki, JCM, and Uphill, J
Subjects: mental disorders, nervous system diseases
Abstract: © Published by the BMJ Publishing Group Limited. Background Clinical, pathological and genetic overlap between sporadic frontotemporal dementia (FTD), Alzheimer's disease (AD) and Parkinson's disease (PD) has been suggested; however, the relationship between these disorders is still not well understood. Here we evaluated genetic overlap between FTD, AD and PD to assess shared pathobiology and identify novel genetic variants associated with increased risk for FTD. Methods Summary statistics were obtained from the International FTD Genomics Consortium, International PD Genetics Consortium and International Genomics of AD Project (n>75000 cases and controls). We used conjunction false discovery rate (FDR) to evaluate genetic pleiotropy and conditional FDR to identify novel FTD-associated SNPs. Relevant variants were further evaluated for expression quantitative loci. Results We observed SNPs within the HLA, MAPT and APOE regions jointly contributing to increased risk for FTD and AD or PD. By conditioning on polymorphisms associated with PD and AD, we found 11 loci associated with increased risk for FTD. Meta-analysis across two independent FTD cohorts revealed a genome-wide signal within the APOE region (rs6857, 3′-UTR=PVRL2, p=2.21×10 -12), and a suggestive signal for rs1358071 within the MAPT region (intronic=CRHR1, p=4.91×10 -7) with the effect allele tagging the H1 haplotype. Pleiotropic SNPs at the HLA and MAPT loci associated with expression changes in cis-genes supporting involvement of intracellular vesicular trafficking, immune response and endo/lysosomal processes. Conclusions Our findings demonstrate genetic pleiotropy in these neurodegenerative diseases and indicate that sporadic FTD is a polygenic disorder where multiple pleiotropic loci with small effects contribute to increased disease risk.
Published: 2017
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23. Age-dependent effects of APOE epsilon 4 in preclinical Alzheimer's disease

Author: Bonham, LW, Geier, EG, Fan, CC, Leong, JK, Besser, L, Kukull, WA, Kornak, J, Andreassen, OA, Schellenberg, GD, Rosen, HJ, Dillon, WP, Hess, CP, Miller, BL, Dale, AM, Desikan, RS, and Yokoyama, JS
Published: 2016
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24. Frequency of the C9orf72 hexanucleotide repeat expansion in patients with amyotrophic lateral sclerosis and frontotemporal dementia: a cross-sectional study

Author: Majounie, E1, Renton, Ae, Mok, K, Dopper, Eg, Waite, A, Rollinson, S, Chiò, A, Restagno, G, Nicolaou, N, Simon-Sanchez, J, van Swieten JC, Abramzon, Y, Johnson, Jo, Sendtner, M, Pamphlett, R, Orrell, Rw, Mead, S, Sidle, Kc, Houlden, H, Rohrer, Jd, Morrison, Ke, Pall, H, Talbot, K, Ansorge, O, Hernandez, Dg, Arepalli, S, Sabatelli, M, Mora, G, Corbo, M, Giannini, F, Calvo, A, Englund, E, Borghero, G, Floris, Gl, Remes, Am, Laaksovirta, H, Mccluskey, L, Trojanowski, Jq, Van Deerlin VM, Schellenberg, Gd, Nalls, Ma, Drory, Ve, Lu, Cs, Yeh, Th, Ishiura, H, Takahashi, Y, Tsuji, S, Le Ber, I, Brice, A, Drepper, C, Williams, N, Kirby, J, Shaw, P, Hardy, J, Tienari, Pj, Heutink, P, Morris, Hr, Pickering-Brown, S, Traynor, Bj, Adamson, G, Bayer, Aj, Beck, J, Callister, Jb, Blake, Dj, Blumen, Sc, Collinge, J, Dunckley, T, Ealing, J, East, S, Elman, L, Gerhard, A, Guerreiro, Rj, Gwinn, K, Halliwell, N, Hamdalla, Hh, Hewitt, C, Ince, P, Jablonka, S, James, C, Kent, L, Knock, Jc, Lynch, T, Mahoney, C, Mann, D, Neal, J, Norris, D, O'Dowd, S, Richardson, A, Rossor, M, Rothstein, J, Scholz, Sw, Snowden, J, Stephan, Da, Toulson, G, Turner, Mr, Warren, Jd, Young, K, Weng, Yh, Kuo, Hc, Lai, Sc, Huang, Cl, Camuzat, A, Entraingues, L, Guillot-Noël, Verpillat, P, Blanc, F, Camu, W, Clerget-Darpoux, F, Corcia, P, Couratier, P, Didic, M, Dubois, B, Duyckaerts, C, Guedj, E, Golfier, V, Habert, Mo, Hannequin, D, Lacomblez, L, Meininger, V, Salachas, F, Levy, R, Michel, Bf, Pasquier, F, Puel, M, Thomas-Anterion, C, Sellal, F, Vercelletto, M, Moglia, C, Cammarosano, S, Canosa, A, Gallo, S, Brunetti, M, Ossola, I, Marinou, K, Papetti, L, Pisano, F, Pinter, Gl, Conte, A, Luigetti, M, Zollino, M, Lattante, S, Marangi, G, la Bella, V, Spataro, R, Colletti, T, Battistini, S, Ricci, C, Caponnetto, C, Mancardi, G, Mandich, P, Salvi, F, Bartolomei, I, Mandrioli, J, Sola, P, Lunetta, C, Penco, S, Monsurrò, Mr, Tedeschi, G, Conforti, Fl, Gambardella, A, Quattrone, A, Volanti, P, Floris, G, Cannas, A, Piras, V, Marrosu, F, Marrosu, Mg, Murru, Mr, Pugliatti, M, Parish, Ld, Sotgiu, A, Solinas, G, Ulgheri, L, Ticca, A, Simone, I, Logroscino, G., Neurology, Erasmus MC other, The Chromosome 9-ALS/FTD Consortium, Human genetics, NCA - Neurodegeneration, Università degli studi di Torino (UNITO), Department of Clinical Genetics, Institute for Clinical Neurobiology, Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), MRC Prion Unit, UCL Institute of neurology, UCL Institute of Neurology, UCL Institute of Neurology, Queen Square, London, Department of Neuroscience, Catholic University, Roma, Fondazione Maugeri, Department of Neuroscience, University of Siena, Siena, Department of Neurology, Chang Gung Memorial Hospital [Taipei] (CGMH), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, MRC Centre for Neuropsychiatric Genetics and Genomics, Medical Research Council (MRC)-School of Medicine [Cardiff], Cardiff University-Institute of Medical Genetics [Cardiff]-Cardiff University-Institute of Medical Genetics [Cardiff], Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Università degli studi di Torino = University of Turin (UNITO), Julius-Maximilians-Universität Würzburg (JMU), UCL Institute of Neurology, Queen Square [London], Università degli Studi di Siena = University of Siena (UNISI), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: MESH: Signal Transduction, Male, MESH: Vesicular Transport Proteins, MESH: Membrane Glycoproteins, MESH: DNA Repeat Expansion, MESH: Genotype, Cohort Studies, MESH: Protein Structure, Tertiary, MESH: Aged, 80 and over, MESH: Interferon Regulatory Factor-3, 0302 clinical medicine, C9orf72, MESH: Child, MESH: RNA, Small Interfering, 80 and over, genetics, Age of Onset, Child, MESH: Cohort Studies, MESH: Amyotrophic Lateral Sclerosis, MESH: Aged, Genetics, Aged, 80 and over, 0303 health sciences, MESH: Middle Aged, DNA Repeat Expansion, MESH: Toll-Like Receptor 4, Middle Aged, Penetrance, 3. Good health, Settore MED/26 - NEUROLOGIA, Neurology, MESH: Young Adult, MESH: HEK293 Cells, Child, Preschool, Frontotemporal Dementia, Female, Sample collection, Chromosomes, Human, Pair 9, MESH: Myeloid Differentiation Factor 88, Frontotemporal dementia, Human, Pair 9, Adult, MESH: Protein Transport, medicine.medical_specialty, Adolescent, Genotype, MESH: Age of Onset, MESH: RNA Interference, Clinical Neurology, MESH: Frontotemporal Dementia, MESH: Genetic Loci, TARDBP, Chromosomes, 03 medical and health sciences, Open Reading Frames, Young Adult, MESH: Cross-Sectional Studies, Internal medicine, medicine, MESH: Chemokine CCL5, Humans, ddc:610, Preschool, MESH: Adaptor Proteins, Signal Transducing, 030304 developmental biology, Aged, MESH: Adolescent, MESH: Humans, business.industry, MESH: Transfection, MESH: Child, Preschool, Haplotype, Amyotrophic Lateral Sclerosis, MESH: Adult, MESH: Adaptor Proteins, Vesicular Transport, MESH: Open Reading Frames, medicine.disease, MESH: Male, MESH: Cell Line, C9orf72 Protein, Cross-Sectional Studies, MESH: Endosomes, Genetic Loci, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Neurology (clinical), MESH: Lipopolysaccharides, MESH: Chromosomes, Human, Pair 9, business, Trinucleotide repeat expansion, MESH: Female, Adolescent, Adult, Age of Onset, Aged, Aged, 80 and over, Amyotrophic Lateral Sclerosis, genetics, Child, Child, Preschool, Chromosomes, genetics, Cohort Studies, Cross-Sectional Studies, DNA Repeat Expansion, genetics, Female, Frontotemporal Dementia, genetics, Genetic Loci, Genotype, Humans, Male, Middle Aged, Open Reading Frames, genetics, Young Adult, 030217 neurology & neurosurgery
Abstract: International audience; BACKGROUND: We aimed to accurately estimate the frequency of a hexanucleotide repeat expansion in C9orf72 that has been associated with a large proportion of cases of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). METHODS: We screened 4448 patients diagnosed with ALS (El Escorial criteria) and 1425 patients with FTD (Lund-Manchester criteria) from 17 regions worldwide for the GGGGCC hexanucleotide expansion using a repeat-primed PCR assay. We assessed familial disease status on the basis of self-reported family history of similar neurodegenerative diseases at the time of sample collection. We compared haplotype data for 262 patients carrying the expansion with the known Finnish founder risk haplotype across the chromosomal locus. We calculated age-related penetrance using the Kaplan-Meier method with data for 603 individuals with the expansion. FINDINGS: In patients with sporadic ALS, we identified the repeat expansion in 236 (7*0%) of 3377 white individuals from the USA, Europe, and Australia, two (4*1%) of 49 black individuals from the USA, and six (8*3%) of 72 Hispanic individuals from the USA. The mutation was present in 217 (39*3%) of 552 white individuals with familial ALS from Europe and the USA. 59 (6*0%) of 981 white Europeans with sporadic FTD had the mutation, as did 99 (24*8%) of 400 white Europeans with familial FTD. Data for other ethnic groups were sparse, but we identified one Asian patient with familial ALS (from 20 assessed) and two with familial FTD (from three assessed) who carried the mutation. The mutation was not carried by the three Native Americans or 360 patients from Asia or the Pacific Islands with sporadic ALS who were tested, or by 41 Asian patients with sporadic FTD. All patients with the repeat expansion had (partly or fully) the founder haplotype, suggesting a one-off expansion occurring about 1500 years ago. The pathogenic expansion was non-penetrant in individuals younger than 35 years, 50% penetrant by 58 years, and almost fully penetrant by 80 years. INTERPRETATION: A common Mendelian genetic lesion in C9orf72 is implicated in many cases of sporadic and familial ALS and FTD. Testing for this pathogenic expansion should be considered in the management and genetic counselling of patients with these fatal neurodegenerative diseases. FUNDING: Full funding sources listed at end of paper (see Acknowledgments).
Published: 2012
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25. P1‐001: Prediction of late‐onset Alzheimer's disease‐associated enhancer elements

Author: Chiao-Feng Lin, George Xu, Beth A. Dombroski, Michele Hawk, Li-San Wang, Yih-Chii Hwang, Pavel P. Kuksa, Weixin Wang, Christian Kramer, Adam C. Naj, Schellenberg Gd, and Mitchell Tang
Subjects: Enhancer Elements, Epidemiology, business.industry, Health Policy, Late onset, Disease, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Immunology, Medicine, Neurology (clinical), Geriatrics and Gerontology, business
Published: 2015
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26. P2‐013: ABCA7 deletion associated with Alzheimer's disease in african americans

Author: Schellenberg Gd, Richard Mayeux, Lindsay A. Farrer, Gary W. Beecham, Jeffery M. Vance, Brian W. Kunkle, Sophie Rolati, Regina M. Carney, Martin A. Kohli, Badri N. Vardarajan, Patrice L. Whitehead, Derek J. Van Booven, Eden R. Martin, Beth A. Dombroski, Holly N. Cukier, Goldie S. Byrd, Margaret A. Pericak-Vance, Michael L. Cuccaro, John R. Gilbert, Kara L. Hamilton-Nelson, Rosalyn Lang, and Jonathan L. Haines
Subjects: biology, Epidemiology, business.industry, Health Policy, Disease, ABCA7, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Immunology, biology.protein, Medicine, Neurology (clinical), Geriatrics and Gerontology, business
Published: 2015
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27. Frequency of the C9orf72 hexanucleotide repeat expansion in patients with amyotrophic lateral sclerosis and frontotemporal dementia: a cross-sectional study

Author: Majounie E, Renton AE, Mok K, Dopper EG, Waite A, Rollinson S, Chiò A, Restagno G, Nicolaou N, Simon Sanchez J, van Swieten JC, Abramzon Y, Johnson JO, Sendtner M, Pamphlett R, Orrell RW, Mead S, Sidle KC, Houlden H, Rohrer JD, Morrison KE, Pall H, Talbot K, Ansorge O, Chromosome 9 ALS/FTD Consortium, French research network on FTLD/FTLD/ALS, ITALSGEN Consortium, Adamson G, Bayer AJ, Beck J, Callister JB, Blake DJ, Blumen SC, Collinge J, Dunckley T, Ealing J, East S, Elman L, Gerhard A, Guerreiro RJ, Gwinn K, Halliwell N, Hamdalla HH, Hewitt C, Ince P, Jablonka S, James C, Kent L, Knock JC, Lynch T, Mahoney C, Mann D, Neal J, Norris D, O'Dowd S, Richardson A, Rossor M, Rothstein J, Scholz SW, Snowden J, Stephan DA, Toulson G, Turner MR, Warren JD, Young K, Weng YH, Kuo HC, Lai SC, Huang CL, Camuzat A, Entraingues L, Guillot Noël, Verpillat P, Blanc F, Camu W, Clerget Darpoux F, Corcia P, Couratier P, Didic M, Dubois B, Duyckaerts C, Guedj E, Golfier V, Habert MO, Hannequin D, Lacomblez L, Meininger V, Salachas F, Levy R, Michel BF, Pasquier F, Puel M, Thomas Anterion C, Sellal F, Vercelletto M, Moglia C, Cammarosano S, Canosa A, Gallo S, Brunetti M, Ossola I, Marinou K, Papetti L, Pisano F, Pinter GL, Conte A, Luigetti M, Zollino M, Lattante S, Marangi G, la Bella V, Spataro R, Colletti T, Battistini S, Ricci C, Caponnetto C, Mancardi G, Mandich P, Salvi F, Bartolomei I, Mandrioli J, Sola P, Lunetta C, Penco S, Conforti FL, Gambardella A, Quattrone A, Volanti P, Floris G, Cannas A, Piras V, Marrosu F, Marrosu MG, Murru MR, Pugliatti M, Parish LD, Sotgiu A, Solinas G, Ulgheri L, Ticca A, Simone I, Logroscino G, Hernandez DG, Arepalli S, Sabatelli M, Mora G, Corbo M, Giannini F, Calvo A, Englund E, Borghero G, Floris GL, Remes AM, Laaksovirta H, McCluskey L, Trojanowski JQ, Van Deerlin VM, Schellenberg GD, Nalls MA, Drory VE, Lu CS, Yeh TH, Ishiura H, Takahashi Y, Tsuji S, Le Ber I, Brice A, Drepper C, Williams N, Kirby J, Shaw P, Hardy J, Tienari PJ, Heutink P, Morris HR, Pickering Brown S, Traynor BJ, MONSURRO', Maria Rosaria, TEDESCHI, Gioacchino, Majounie, E, Renton, Ae, Mok, K, Dopper, Eg, Waite, A, Rollinson, S, Chiò, A, Restagno, G, Nicolaou, N, Simon Sanchez, J, van Swieten, Jc, Abramzon, Y, Johnson, Jo, Sendtner, M, Pamphlett, R, Orrell, Rw, Mead, S, Sidle, Kc, Houlden, H, Rohrer, Jd, Morrison, Ke, Pall, H, Talbot, K, Ansorge, O, Chromosome, 9 ALS/FTD Consortium, French research network on, Ftld/ftld/al, Italsgen, Consortium, Adamson, G, Bayer, Aj, Beck, J, Callister, Jb, Blake, Dj, Blumen, Sc, Collinge, J, Dunckley, T, Ealing, J, East, S, Elman, L, Gerhard, A, Guerreiro, Rj, Gwinn, K, Halliwell, N, Hamdalla, Hh, Hewitt, C, Ince, P, Jablonka, S, James, C, Kent, L, Knock, Jc, Lynch, T, Mahoney, C, Mann, D, Neal, J, Norris, D, O'Dowd, S, Richardson, A, Rossor, M, Rothstein, J, Scholz, Sw, Snowden, J, Stephan, Da, Toulson, G, Turner, Mr, Warren, Jd, Young, K, Weng, Yh, Kuo, Hc, Lai, Sc, Huang, Cl, Camuzat, A, Entraingues, L, Guillot, Noël, Verpillat, P, Blanc, F, Camu, W, Clerget Darpoux, F, Corcia, P, Couratier, P, Didic, M, Dubois, B, Duyckaerts, C, Guedj, E, Golfier, V, Habert, Mo, Hannequin, D, Lacomblez, L, Meininger, V, Salachas, F, Levy, R, Michel, Bf, Pasquier, F, Puel, M, Thomas Anterion, C, Sellal, F, Vercelletto, M, Moglia, C, Cammarosano, S, Canosa, A, Gallo, S, Brunetti, M, Ossola, I, Marinou, K, Papetti, L, Pisano, F, Pinter, Gl, Conte, A, Luigetti, M, Zollino, M, Lattante, S, Marangi, G, la Bella, V, Spataro, R, Colletti, T, Battistini, S, Ricci, C, Caponnetto, C, Mancardi, G, Mandich, P, Salvi, F, Bartolomei, I, Mandrioli, J, Sola, P, Lunetta, C, Penco, S, Monsurro', Maria Rosaria, Tedeschi, Gioacchino, Conforti, Fl, Gambardella, A, Quattrone, A, Volanti, P, Floris, G, Cannas, A, Piras, V, Marrosu, F, Marrosu, Mg, Murru, Mr, Pugliatti, M, Parish, Ld, Sotgiu, A, Solinas, G, Ulgheri, L, Ticca, A, Simone, I, Logroscino, G, Hernandez, Dg, Arepalli, S, Sabatelli, M, Mora, G, Corbo, M, Giannini, F, Calvo, A, Englund, E, Borghero, G, Floris, Gl, Remes, Am, Laaksovirta, H, Mccluskey, L, Trojanowski, Jq, Van Deerlin, Vm, Schellenberg, Gd, Nalls, Ma, Drory, Ve, Lu, C, Yeh, Th, Ishiura, H, Takahashi, Y, Tsuji, S, Le Ber, I, Brice, A, Drepper, C, Williams, N, Kirby, J, Shaw, P, Hardy, J, Tienari, Pj, Heutink, P, Morris, Hr, Pickering Brown, S, and Traynor, Bj
Published: 2012

28. Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer's Disease

Author: Jakobsdottir, J, van der Lee, Sven, Bis, JC, Chouraki, V, Li-Kroeger, D, Yamamoto, S, Grove, ML, Naj, A, Vronskaya, M, Salazar, JL, DeStefano, AL, Brody, JA, Smith, AV, Amin, Najaf, Sims, R, Verbaas, Carla, Choi, SH, Satizabal, CL, Lopez, OL, Beiser, A, Ikram, Arfan, Garcia, ME, Hayward, C, Varga, TV, Ripatti, S, Franks, PW, Hallmans, G, Rolandsson, O, Jansson, JH, Porteous, DJ, Salomaa, V, Eiriksdottir, G, Rice, KM, Bellen, HJ, Levy, D, Uitterlinden, André, Emilsson, V, Rotter, JI, Aspelund, T, O'Donnell, CJ, Fitzpatrick, AL, Launer, LJ, Hofman, Bert, Wang, LS (Li-San), Williams, J, Schellenberg, GD, Boerwinkle, E, Psaty, BM, Seshadri, S, Shulman, JM, Gudnason, V, Duijn, Cornelia, Jakobsdottir, J, van der Lee, Sven, Bis, JC, Chouraki, V, Li-Kroeger, D, Yamamoto, S, Grove, ML, Naj, A, Vronskaya, M, Salazar, JL, DeStefano, AL, Brody, JA, Smith, AV, Amin, Najaf, Sims, R, Verbaas, Carla, Choi, SH, Satizabal, CL, Lopez, OL, Beiser, A, Ikram, Arfan, Garcia, ME, Hayward, C, Varga, TV, Ripatti, S, Franks, PW, Hallmans, G, Rolandsson, O, Jansson, JH, Porteous, DJ, Salomaa, V, Eiriksdottir, G, Rice, KM, Bellen, HJ, Levy, D, Uitterlinden, André, Emilsson, V, Rotter, JI, Aspelund, T, O'Donnell, CJ, Fitzpatrick, AL, Launer, LJ, Hofman, Bert, Wang, LS (Li-San), Williams, J, Schellenberg, GD, Boerwinkle, E, Psaty, BM, Seshadri, S, Shulman, JM, Gudnason, V, and Duijn, Cornelia
Abstract: We performed an exome-wide association analysis in 1393 late-onset Alzheimer's disease (LOAD) cases and 8141 controls from the CHARGE consortium. We found that a rare variant (P155L) in TM2D3 was enriched in Icelanders (similar to 0.5% versus < 0.05% in other European populations). In 433 LOAD cases and 3903 controls from the Icelandic AGES substudy, P155L was associated with increased risk and earlier onset of LOAD [odds ratio (95% CI) = 7.5 (3.5-15.9), p = 6.6x10(-9)]. Mutation in the Drosophila TM2D3 homolog, almondex, causes a phenotype similar to loss of Notch/Presenilin signaling. Human TM2D3 is capable of rescuing these phenotypes, but this activity is abolished by P155L, establishing it as a functionally damaging allele. Our results establish a rare TM2D3 variant in association with LOAD susceptibility, and together with prior work suggests possible links to the beta-amyloid cascade.
Published: 2016

29. Genome-wide association study of corticobasal degeneration identifies risk variants shared with progressive supranuclear palsy

Author: Kouri, N, Ross, OA, Dombroski, B, Younkin, CS, Serie, DJ, Soto-Ortolaza, A, Baker, M, Finch, NCA, Yoon, H, Kim, J, Fujioka, S, McLean, CA, Ghetti, B, Spina, S, Cantwell, LB, Farlow, MR, Grafman, J, Huey, ED, Han, MR, Beecher, S, Geller, ET, Kretzschmar, HA, Roeber, S, Gearing, M, Juncos, JL, Vonsattel, JPG, Van Deerlin, VM, Grossman, M, Hurtig, HI, Gross, RG, Arnold, SE, Trojanowski, JQ, Lee, VM, Wenning, GK, White, CL, Hoeglinger, GU, Mueller, U, Devlin, B, Golbe, LI, Crook, J, Parisi, JE, Boeve, BF, Josephs, KA, Wszolek, ZK, Uitti, RJ, Graff-Radford, NR, Litvan, I, Younkin, SG, Wang, L-S, Ertekin-Taner, N, Rademakers, R, Hakonarsen, H, Schellenberg, GD, Dickson, DW, Kouri, N, Ross, OA, Dombroski, B, Younkin, CS, Serie, DJ, Soto-Ortolaza, A, Baker, M, Finch, NCA, Yoon, H, Kim, J, Fujioka, S, McLean, CA, Ghetti, B, Spina, S, Cantwell, LB, Farlow, MR, Grafman, J, Huey, ED, Han, MR, Beecher, S, Geller, ET, Kretzschmar, HA, Roeber, S, Gearing, M, Juncos, JL, Vonsattel, JPG, Van Deerlin, VM, Grossman, M, Hurtig, HI, Gross, RG, Arnold, SE, Trojanowski, JQ, Lee, VM, Wenning, GK, White, CL, Hoeglinger, GU, Mueller, U, Devlin, B, Golbe, LI, Crook, J, Parisi, JE, Boeve, BF, Josephs, KA, Wszolek, ZK, Uitti, RJ, Graff-Radford, NR, Litvan, I, Younkin, SG, Wang, L-S, Ertekin-Taner, N, Rademakers, R, Hakonarsen, H, Schellenberg, GD, and Dickson, DW
Abstract: Corticobasal degeneration (CBD) is a neurodegenerative disorder affecting movement and cognition, definitively diagnosed only at autopsy. Here, we conduct a genome-wide association study (GWAS) in CBD cases (n=152) and 3,311 controls, and 67 CBD cases and 439 controls in a replication stage. Associations with meta-analysis were 17q21 at MAPT (P=1.42 × 10(-12)), 8p12 at lnc-KIF13B-1, a long non-coding RNA (rs643472; P=3.41 × 10(-8)), and 2p22 at SOS1 (rs963731; P=1.76 × 10(-7)). Testing for association of CBD with top progressive supranuclear palsy (PSP) GWAS single-nucleotide polymorphisms (SNPs) identified associations at MOBP (3p22; rs1768208; P=2.07 × 10(-7)) and MAPT H1c (17q21; rs242557; P=7.91 × 10(-6)). We previously reported SNP/transcript level associations with rs8070723/MAPT, rs242557/MAPT, and rs1768208/MOBP and herein identified association with rs963731/SOS1. We identify new CBD susceptibility loci and show that CBD and PSP share a genetic risk factor other than MAPT at 3p22 MOBP (myelin-associated oligodendrocyte basic protein).
Published: 2015

30. Common genetic variants in the CLDN2 and PRSS1-PRSS2 loci alter risk for alcohol-related and sporadic pancreatitis

Author: Whitcomb, DC, LaRusch, J, Krasinskas, AM, Klei, L, Smith, JP, Brand, RE, Neoptolemos, JP, Lerch, MM, Tector, M, Sandhu, BS, Guda, NM, Orlichenko, L, Alkaade, S, Amann, ST, Anderson, MA, Baillie, J, Banks, PA, Conwell, D, Coté, GA, Cotton, PB, DiSario, J, Farrer, LA, Forsmark, CE, Johnstone, M, Gardner, TB, Gelrud, A, Greenhalf, W, Haines, JL, Hartman, DJ, Hawes, RA, Lawrence, C, Lewis, M, Mayerle, J, Mayeux, R, Melhem, NM, Money, ME, Muniraj, T, Papachristou, GI, Pericak-Vance, MA, Romagnuolo, J, Schellenberg, GD, Sherman, S, Simon, P, Singh, VP, Slivka, A, Stolz, D, Sutton, R, Weiss, FU, Wilcox, CM, Zarnescu, NO, Wisniewski, SR, O'Connell, MR, Kienholz, ML, Roeder, K, Barmada, MM, Yadav, D, Devlin, B, Albert, MS, Albin, RL, Apostolova, LG, Arnold, SE, Baldwin, CT, Barber, R, Barnes, LL, Beach, TG, Beecham, GW, Beekly, D, Bennett, DA, Bigio, EH, Bird, TD, Blacker, D, Boxer, A, Burke, JR, Buxbaum, JD, Cairns, NJ, Cantwell, LB, Cao, C, Carney, RM, Carroll, SL, Chui, HC, Clark, DG, Cribbs, DH, Crocco, EA, and Cruchaga, C
Abstract: Pancreatitis is a complex, progressively destructive inflammatory disorder. Alcohol was long thought to be the primary causative agent, but genetic contributions have been of interest since the discovery that rare PRSS1, CFTR and SPINK1 variants were associated with pancreatitis risk. We now report two associations at genome-wide significance identified and replicated at PRSS1-PRSS2 (P < 1 × 10-12) and X-linked CLDN2 (P < 1 × 10-21) through a two-stage genome-wide study (stage 1: 676 cases and 4,507 controls; stage 2: 910 cases and 4,170 controls). The PRSS1 variant likely affects disease susceptibility by altering expression of the primary trypsinogen gene. The CLDN2 risk allele is associated with atypical localization of claudin-2 in pancreatic acinar cells. The homozygous (or hemizygous in males) CLDN2 genotype confers the greatest risk, and its alleles interact with alcohol consumption to amplify risk. These results could partially explain the high frequency of alcohol-related pancreatitis in men (male hemizygote frequency is 0.26, whereas female homozygote frequency is 0.07). © 2012 Nature America, Inc. All rights reserved.
Published: 2012
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31. Synaptic, transcriptional and chromatin genes disrupted in autism.

Author: De Rubeis, S, He, X, Goldberg, AP, Poultney, CS, Samocha, K, Cicek, AE, Kou, Y, Liu, L, Fromer, M, Walker, S, Singh, T, Klei, L, Kosmicki, J, Shih-Chen, F, Aleksic, B, Biscaldi, M, Bolton, PF, Brownfeld, JM, Cai, J, Campbell, NG, Carracedo, A, Chahrour, MH, Chiocchetti, AG, Coon, H, Crawford, EL, Curran, SR, Dawson, G, Duketis, E, Fernandez, BA, Gallagher, L, Geller, E, Guter, SJ, Hill, RS, Ionita-Laza, J, Jimenz Gonzalez, P, Kilpinen, H, Klauck, SM, Kolevzon, A, Lee, I, Lei, I, Lei, J, Lehtimäki, T, Lin, C-F, Ma'ayan, A, Marshall, CR, McInnes, AL, Neale, B, Owen, MJ, Ozaki, N, Parellada, M, Parr, JR, Purcell, S, Puura, K, Rajagopalan, D, Rehnström, K, Reichenberg, A, Sabo, A, Sachse, M, Sanders, SJ, Schafer, C, Schulte-Rüther, M, Skuse, D, Stevens, C, Szatmari, P, Tammimies, K, Valladares, O, Voran, A, Li-San, W, Weiss, LA, Willsey, AJ, Yu, TW, Yuen, RKC, DDD Study, Homozygosity Mapping Collaborative for Autism, UK10K Consortium, Cook, EH, Freitag, CM, Gill, M, Hultman, CM, Lehner, T, Palotie, A, Schellenberg, GD, Sklar, P, State, MW, Sutcliffe, JS, Walsh, CA, Scherer, SW, Zwick, ME, Barett, JC, Cutler, DJ, Roeder, K, Devlin, B, Daly, MJ, Buxbaum, JD, De Rubeis, S, He, X, Goldberg, AP, Poultney, CS, Samocha, K, Cicek, AE, Kou, Y, Liu, L, Fromer, M, Walker, S, Singh, T, Klei, L, Kosmicki, J, Shih-Chen, F, Aleksic, B, Biscaldi, M, Bolton, PF, Brownfeld, JM, Cai, J, Campbell, NG, Carracedo, A, Chahrour, MH, Chiocchetti, AG, Coon, H, Crawford, EL, Curran, SR, Dawson, G, Duketis, E, Fernandez, BA, Gallagher, L, Geller, E, Guter, SJ, Hill, RS, Ionita-Laza, J, Jimenz Gonzalez, P, Kilpinen, H, Klauck, SM, Kolevzon, A, Lee, I, Lei, I, Lei, J, Lehtimäki, T, Lin, C-F, Ma'ayan, A, Marshall, CR, McInnes, AL, Neale, B, Owen, MJ, Ozaki, N, Parellada, M, Parr, JR, Purcell, S, Puura, K, Rajagopalan, D, Rehnström, K, Reichenberg, A, Sabo, A, Sachse, M, Sanders, SJ, Schafer, C, Schulte-Rüther, M, Skuse, D, Stevens, C, Szatmari, P, Tammimies, K, Valladares, O, Voran, A, Li-San, W, Weiss, LA, Willsey, AJ, Yu, TW, Yuen, RKC, DDD Study, Homozygosity Mapping Collaborative for Autism, UK10K Consortium, Cook, EH, Freitag, CM, Gill, M, Hultman, CM, Lehner, T, Palotie, A, Schellenberg, GD, Sklar, P, State, MW, Sutcliffe, JS, Walsh, CA, Scherer, SW, Zwick, ME, Barett, JC, Cutler, DJ, Roeder, K, Devlin, B, Daly, MJ, and Buxbaum, JD
Abstract: The genetic architecture of autism spectrum disorder involves the interplay of common and rare variants and their impact on hundreds of genes. Using exome sequencing, here we show that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate (FDR) < 0.05, plus a set of 107 autosomal genes strongly enriched for those likely to affect risk (FDR < 0.30). These 107 genes, which show unusual evolutionary constraint against mutations, incur de novo loss-of-function mutations in over 5% of autistic subjects. Many of the genes implicated encode proteins for synaptic formation, transcriptional regulation and chromatin-remodelling pathways. These include voltage-gated ion channels regulating the propagation of action potentials, pacemaking and excitability-transcription coupling, as well as histone-modifying enzymes and chromatin remodellers-most prominently those that mediate post-translational lysine methylation/demethylation modifications of histones.
Published: 2014

32. Genome-Wide Association Meta-analysis of Neuropathologic Features of Alzheimer's Disease and Related Dementias

Author: Beecham, GW, Hamilton, K, Naj, AC, Martin, ER, Huentelman, M, Myers, AJ, Corneveaux, JJ, Hardy, J, Vonsattel, JP, Younkin, SG, Bennett, DA, De Jager, PL, Larson, EB, Crane, PK, Kamboh, MI, Kofler, JK, Mash, DC, Duque, L, Gilbert, JR, Gwirtsman, H, Buxbaum, JD, Kramer, P, Dickson, DW, Farrer, LA, Frosch, MP, Ghetti, B, Haines, JL, Hyman, BT, Kukull, WA, Mayeux, RP, Pericak-Vance, MA, Schneider, JA, Trojanowski, JQ, Reiman, EM, Schellenberg, GD, Montine, TJ, Beecham, GW, Hamilton, K, Naj, AC, Martin, ER, Huentelman, M, Myers, AJ, Corneveaux, JJ, Hardy, J, Vonsattel, JP, Younkin, SG, Bennett, DA, De Jager, PL, Larson, EB, Crane, PK, Kamboh, MI, Kofler, JK, Mash, DC, Duque, L, Gilbert, JR, Gwirtsman, H, Buxbaum, JD, Kramer, P, Dickson, DW, Farrer, LA, Frosch, MP, Ghetti, B, Haines, JL, Hyman, BT, Kukull, WA, Mayeux, RP, Pericak-Vance, MA, Schneider, JA, Trojanowski, JQ, Reiman, EM, Schellenberg, GD, and Montine, TJ
Abstract: Alzheimer's disease (AD) and related dementias are a major public health challenge and present a therapeutic imperative for which we need additional insight into molecular pathogenesis. We performed a genome-wide association study and analysis of known genetic risk loci for AD dementia using neuropathologic data from 4,914 brain autopsies. Neuropathologic data were used to define clinico-pathologic AD dementia or controls, assess core neuropathologic features of AD (neuritic plaques, NPs; neurofibrillary tangles, NFTs), and evaluate commonly co-morbid neuropathologic changes: cerebral amyloid angiopathy (CAA), Lewy body disease (LBD), hippocampal sclerosis of the elderly (HS), and vascular brain injury (VBI). Genome-wide significance was observed for clinico-pathologic AD dementia, NPs, NFTs, CAA, and LBD with a number of variants in and around the apolipoprotein E gene (APOE). GalNAc transferase 7 (GALNT7), ATP-Binding Cassette, Sub-Family G (WHITE), Member 1 (ABCG1), and an intergenic region on chromosome 9 were associated with NP score; and Potassium Large Conductance Calcium-Activated Channel, Subfamily M, Beta Member 2 (KCNMB2) was strongly associated with HS. Twelve of the 21 non-APOE genetic risk loci for clinically-defined AD dementia were confirmed in our clinico-pathologic sample: CR1, BIN1, CLU, MS4A6A, PICALM, ABCA7, CD33, PTK2B, SORL1, MEF2C, ZCWPW1, and CASS4 with 9 of these 12 loci showing larger odds ratio in the clinico-pathologic sample. Correlation of effect sizes for risk of AD dementia with effect size for NFTs or NPs showed positive correlation, while those for risk of VBI showed a moderate negative correlation. The other co-morbid neuropathologic features showed only nominal association with the known AD loci. Our results discovered new genetic associations with specific neuropathologic features and aligned known genetic risk for AD dementia with specific neuropathologic changes in the largest brain autopsy study of AD and related dementias.
Published: 2014

33. Follow-up of loci from the International Genomics of Alzheimer's Disease Project identifies TRIP4 as a novel susceptibility gene

Author: Ruiz, A, Heilmann, S, Becker, T, Hernandez, I, Wagner, H, Thelen, M, Mauleon, A, Rosende-Roca, M, Bellenguez, C, Bis, JC, Harold, D, Gerrish, A, Sims, R, Sotolongo-Grau, O, Espinosa, A, Alegret, M, Arrieta, JL, Lacour, A, Leber, M, Becker, J, Lafuente, A, Ruiz, S, Vargas, L, Rodriguez, O, Ortega, G, Dominguez, MA, Mayeux, R, Haines, JL, Pericak-Vance, MA, Farrer, LA, Schellenberg, GD, Chouraki, V, Launer, LJ (Lenore), Duijn, Cornelia, Seshadri, S, Antunez, C, Breteler, Monique, Serrano-Rios, M, Jessen, F, Tarraga, L, Nothen, MM, Maier, W, Boada, M, Ramirez, A, Ruiz, A, Heilmann, S, Becker, T, Hernandez, I, Wagner, H, Thelen, M, Mauleon, A, Rosende-Roca, M, Bellenguez, C, Bis, JC, Harold, D, Gerrish, A, Sims, R, Sotolongo-Grau, O, Espinosa, A, Alegret, M, Arrieta, JL, Lacour, A, Leber, M, Becker, J, Lafuente, A, Ruiz, S, Vargas, L, Rodriguez, O, Ortega, G, Dominguez, MA, Mayeux, R, Haines, JL, Pericak-Vance, MA, Farrer, LA, Schellenberg, GD, Chouraki, V, Launer, LJ (Lenore), Duijn, Cornelia, Seshadri, S, Antunez, C, Breteler, Monique, Serrano-Rios, M, Jessen, F, Tarraga, L, Nothen, MM, Maier, W, Boada, M, and Ramirez, A
Abstract: To follow-up loci discovered by the International Genomics of Alzheimer's Disease Project, we attempted independent replication of 19 single nucleotide polymorphisms (SNPs) in a large Spanish sample (Fundacio ACE data set; 1808 patients and 2564 controls). Our results corroborate association with four SNPs located in the genes INPP5D, MEF2C, ZCWPW1 and FERMT2, respectively. Of these, ZCWPW1 was the only SNP to withstand correction for multiple testing (P = 0.000655). Furthermore, we identify TRIP4 (rs74615166) as a novel genome-wide significant locus for Alzheimer's disease risk (odds ratio = 1.31; confidence interval 95% (1.19-1.44); P = 9.74 x 10(-9)).
Published: 2014

34. Gene-Wide Analysis Detects Two New Susceptibility Genes for Alzheimer's Disease

Author: Escott-Price, V, Bellenguez, C, Wang, LS (Li-San), Choi, SH, Harold, D, Jones, L, Holmans, P, Gerrish, A, Vedernikov, A, Richards, A, DeStefano, AL, Lambert, JC, Verbaas, Carla, Naj, AC, Sims, R, Jun, G, Bis, JC, Beecham, GW, Grenier-Boley, B, Russo, G, Thornton-Wells, TA, Denning, N, Smith, AV, Chouraki, V, Thomas, C, Ikram, Arfan, Zelenika, D, Vardarajan, BN, Kamatani, Y, Lin, CF, Schmidt, Heléna, Kunkle, B, Dunstan, ML, Vronskaya, M, Johnson, AD, Ruiz, A, Bihoreau, MT, Reitz, C, Pasquier, F, Hollingworth, P, Hanon, O, Fitzpatrick, AL, Buxbaum, JD, Campion, D, Crane, PK, Baldwin, C, Becker, T, Gudnason, V, Cruchaga, C, Craig, D, Amin, Najaf, Berr, C, Lopez, OL, De Jager, PL, Deramecourt, V, Johnston, JA, Evans, D, Lovestone, S, Letenneur, L, Hernandez, I, Rubinsztein, DC, Eiriksdottir, G, Sleegers, K (Kristel), Goate, AM, Fievet, N, Huentelman, MJ, Gill, M, Brown, K, Kamboh, MI, Keller, L, Barberger-Gateau, P, McGuinness, B, Larson, EB, Myers, AJ, Dufouil, C, Todd, S, Wallon, D, Love, S, Rogaeva, E, Gallacher, J, St George-Hyslop, P, Clarimon, J, Lleo, A, Bayer, A, Tsuang, DW, Yu, L, Tsolaki, M, Bossu, P, Spalletta, G, Proitsi, P, Collinge, J, Sorbi, S, Garcia, FS, Fox, NC, Hardy, J, Naranjo, MCD, Bosco, P, Clarke, R, Brayne, C, Galimberti, D, Scarpini, E, Bonuccelli, U, Mancuso, M, Siciliano, G, Moebus, S, Mecocci, P, Del Zompo, M, Maier, W, Hampel, H, Pilotto, A, Frank-Garcia, A, Panza, F, Solfrizzi, V, Caffarra, P, Nacmias, B, Perry, W, Mayhaus, M, Lannfelt, L, Hakonarson, H, Pichler, S, Carrasquillo, MM, Ingelsson, M, Beekly, D, Alvarez, V, Zou, FG, Valladares, O, Younkin, SG, Coto, E, Hamilton-Nelson, KL, Gu, W, Razquin, C, Pastor, P, Mateo, I, Owen, MJ, Faber, KM, Jonsson, PV, Combarros, O, O'Donovan, MC, Cantwell, LB, Soininen, H, Blacker, D, Mead, S, Mosley, TH, Bennett, DA, Harris, TB, Fratiglioni, L, Holmes, C, Bruijn, Renee, Passmore, P, Montine, TJ, Bettens, K, Rotter, JI, Brice, A, Morgan, K, Foroud, TM, Kukull, WA, Hannequin, D, Powell, JF, Nalls, MA, Ritchie, K, Lunetta, KL, Kauwe, JSK, Boerwinkle, E, Riemenschneider, M, Boada, M, Hiltunen, M, Martin, ER, Schmidt, R, Rujescu, D, Dartigues, JF, Mayeux, R, Tzourio, C, Hofman, Bert, Nothen, MM, Graff, C, Psaty, BM, Haines, JL, Lathrop, M, Pericak-Vance, MA, Launer, LJ (Lenore), van Broeckhoven, C, Farrer, LA, Duijn, Cornelia, Ramirez, A, Seshadri, S, Schellenberg, GD, Amouyel, P, Williams, J, Escott-Price, V, Bellenguez, C, Wang, LS (Li-San), Choi, SH, Harold, D, Jones, L, Holmans, P, Gerrish, A, Vedernikov, A, Richards, A, DeStefano, AL, Lambert, JC, Verbaas, Carla, Naj, AC, Sims, R, Jun, G, Bis, JC, Beecham, GW, Grenier-Boley, B, Russo, G, Thornton-Wells, TA, Denning, N, Smith, AV, Chouraki, V, Thomas, C, Ikram, Arfan, Zelenika, D, Vardarajan, BN, Kamatani, Y, Lin, CF, Schmidt, Heléna, Kunkle, B, Dunstan, ML, Vronskaya, M, Johnson, AD, Ruiz, A, Bihoreau, MT, Reitz, C, Pasquier, F, Hollingworth, P, Hanon, O, Fitzpatrick, AL, Buxbaum, JD, Campion, D, Crane, PK, Baldwin, C, Becker, T, Gudnason, V, Cruchaga, C, Craig, D, Amin, Najaf, Berr, C, Lopez, OL, De Jager, PL, Deramecourt, V, Johnston, JA, Evans, D, Lovestone, S, Letenneur, L, Hernandez, I, Rubinsztein, DC, Eiriksdottir, G, Sleegers, K (Kristel), Goate, AM, Fievet, N, Huentelman, MJ, Gill, M, Brown, K, Kamboh, MI, Keller, L, Barberger-Gateau, P, McGuinness, B, Larson, EB, Myers, AJ, Dufouil, C, Todd, S, Wallon, D, Love, S, Rogaeva, E, Gallacher, J, St George-Hyslop, P, Clarimon, J, Lleo, A, Bayer, A, Tsuang, DW, Yu, L, Tsolaki, M, Bossu, P, Spalletta, G, Proitsi, P, Collinge, J, Sorbi, S, Garcia, FS, Fox, NC, Hardy, J, Naranjo, MCD, Bosco, P, Clarke, R, Brayne, C, Galimberti, D, Scarpini, E, Bonuccelli, U, Mancuso, M, Siciliano, G, Moebus, S, Mecocci, P, Del Zompo, M, Maier, W, Hampel, H, Pilotto, A, Frank-Garcia, A, Panza, F, Solfrizzi, V, Caffarra, P, Nacmias, B, Perry, W, Mayhaus, M, Lannfelt, L, Hakonarson, H, Pichler, S, Carrasquillo, MM, Ingelsson, M, Beekly, D, Alvarez, V, Zou, FG, Valladares, O, Younkin, SG, Coto, E, Hamilton-Nelson, KL, Gu, W, Razquin, C, Pastor, P, Mateo, I, Owen, MJ, Faber, KM, Jonsson, PV, Combarros, O, O'Donovan, MC, Cantwell, LB, Soininen, H, Blacker, D, Mead, S, Mosley, TH, Bennett, DA, Harris, TB, Fratiglioni, L, Holmes, C, Bruijn, Renee, Passmore, P, Montine, TJ, Bettens, K, Rotter, JI, Brice, A, Morgan, K, Foroud, TM, Kukull, WA, Hannequin, D, Powell, JF, Nalls, MA, Ritchie, K, Lunetta, KL, Kauwe, JSK, Boerwinkle, E, Riemenschneider, M, Boada, M, Hiltunen, M, Martin, ER, Schmidt, R, Rujescu, D, Dartigues, JF, Mayeux, R, Tzourio, C, Hofman, Bert, Nothen, MM, Graff, C, Psaty, BM, Haines, JL, Lathrop, M, Pericak-Vance, MA, Launer, LJ (Lenore), van Broeckhoven, C, Farrer, LA, Duijn, Cornelia, Ramirez, A, Seshadri, S, Schellenberg, GD, Amouyel, P, and Williams, J
Abstract: Background: Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls. Principal Findings: In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4x10(-6)) and 14 (IGHV1-67 p = 7.9x10(-8)) which indexed novel susceptibility loci. Significance: The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.
Published: 2014

35. Mapping autism risk loci using genetic linkage and chromosomal rearrangements

Author: Szatmari, P, Paterson, AD, Zwaigenbaum, L, Roberts, W, Brian, J, Liu, XQ, Vincent, JB, Skaug, JL, Thompson, AP, Senman, L, Feuk, L, Qian, C, Bryson, SE, Jones, MB, Marshall, CR, Scherer, SW, Vieland, VJ, Bartlett, C, Mangin, LV, Goedken, R, Segre, A, Pericak-Vance, MA, Cuccaro, ML, Gilbert, JR, Wright, HH, Abramson, RK, Betancur, C, Bourgeron, T, Gillberg, C, Leboyer, M, Buxbaum, JD, Davis, KL, Hollander, E, Silverman, JM, Hallmayer, J, Lotspeich, L, Sutcliffe, JS, Haines, JL, Folstein, SE, Piven, J, Wassink, TH, Sheffield, V, Geschwind, DH, Bucan, M, Brown, WT, Cantor, RM, Constantino, JN, Gilliam, TC, Herbert, M, LaJonchere, C, Ledbetter, DH, Lese-Martin, C, Miller, J, Nelson, S, Samango-Sprouse, CA, Spence, S, State, M, Tanzi, RE, Coon, H, Dawson, G, Devlin, B, Estes, A, Flodman, P, Klei, L, McMahon, WM, Minshew, N, Munson, J, Korvatska, E, Rodier, PM, Schellenberg, GD, Smith, M, Spence, MA, Stodgell, C, Tepper, PG, Wijsman, EM, Yu, CE, Rogé, B, Mantoulan, C, Wittemeyer, K, Poustka, A, Felder, B, Klauck, SM, Schuster, C, Poustka, F, Bölte, S, Feineis-Matthews, S, Herbrecht, E, Schmötzer, G, Tsiantis, J, Papanikolaou, K, Maestrini, E, and Bacchelli, E
Subjects: mental disorders
Abstract: Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,168 families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs. © 2007 Nature Publishing Group.
Published: 2007
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36. Alleles of A Reelin CGG Repeat Do Not Convey Liability to Autism in A Sample from the CPEA Network

Author: Devlin, B, Bennett, P, Dawson, G, Figlewicz, DA, Grigorenko, EL, McMahon, W, Minshew, N, Pauls, D, Smith, M, Spence, MA, Rodier, PM, Stodgell, C, Coon, H, Lainart, J, Kim, SJ, Leventhal, B, Lord, C, Escamilla, J, Abbott, R, Estes, A, Munson, J, Rudell, P, and Schellenberg, GD
Abstract: A recent study by Persico et al. [2001: Mol Psychiatry 6:150-159] suggests alleles of a CGG polymorphism, just 5′ of the reelin gene (RELN) initiator codon, confer liability for autism, especially alleles bearing 11 or more CGG repeats (long alleles). The association is consistent across both a case-control and family-based sample. We attempted to replicate their finding using a larger, independent family-based sample from the NIH Collaborative Programs of Excellence in Autism (CPEA) Network. In our data, allele transmissions to individuals with autism versus unaffected individuals are unbiased, both when alleles are classified by repeat length and when they are classified into long/short categories. Because of the apparent linkage of autism to chromosome 7q, particularly related to the development of language, we also evaluate the relationship between Reelin alleles and the age at which autism subjects use their first word or first phrase. Neither is significantly associated with Reelin alleles. Our results are not consistent with a major role for Reelin alleles in liability to autism.
Published: 2004

37. Integrated Model of De Novo and Inherited Genetic Variants Yields Greater Power to Identify Risk Genes

Author: He, X, Sanders, SJ, Liu, L, De Rubeis, S, Lim, ET, Sutcliffe, JS, Schellenberg, GD, Gibbs, RA, Daly, MJ, Buxbaum, JD, State, MW, Devlin, B, Roeder, K, He, X, Sanders, SJ, Liu, L, De Rubeis, S, Lim, ET, Sutcliffe, JS, Schellenberg, GD, Gibbs, RA, Daly, MJ, Buxbaum, JD, State, MW, Devlin, B, and Roeder, K
Abstract: De novo mutations affect risk for many diseases and disorders, especially those with early-onset. An example is autism spectrum disorders (ASD). Four recent whole-exome sequencing (WES) studies of ASD families revealed a handful of novel risk genes, based on independent de novo loss-of-function (LoF) mutations falling in the same gene, and found that de novo LoF mutations occurred at a twofold higher rate than expected by chance. However successful these studies were, they used only a small fraction of the data, excluding other types of de novo mutations and inherited rare variants. Moreover, such analyses cannot readily incorporate data from case-control studies. An important research challenge in gene discovery, therefore, is to develop statistical methods that accommodate a broader class of rare variation. We develop methods that can incorporate WES data regarding de novo mutations, inherited variants present, and variants identified within cases and controls. TADA, for Transmission And De novo Association, integrates these data by a gene-based likelihood model involving parameters for allele frequencies and gene-specific penetrances. Inference is based on a Hierarchical Bayes strategy that borrows information across all genes to infer parameters that would be difficult to estimate for individual genes. In addition to theoretical development we validated TADA using realistic simulations mimicking rare, large-effect mutations affecting risk for ASD and show it has dramatically better power than other common methods of analysis. Thus TADA's integration of various kinds of WES data can be a highly effective means of identifying novel risk genes. Indeed, application of TADA to WES data from subjects with ASD and their families, as well as from a study of ASD subjects and controls, revealed several novel and promising ASD candidate genes with strong statistical support. © 2013 He et al.
Published: 2013

38. Analysis of Rare, Exonic Variation amongst Subjects with Autism Spectrum Disorders and Population Controls

Author: Liu, L, Sabo, A, Neale, BM, Nagaswamy, U, Stevens, C, Lim, E, Bodea, CA, Muzny, D, Reid, JG, Banks, E, Coon, H, DePristo, M, Dinh, H, Fennel, T, Flannick, J, Gabriel, S, Garimella, K, Gross, S, Hawes, A, Lewis, L, Makarov, V, Maguire, J, Newsham, I, Poplin, R, Ripke, S, Shakir, K, Samocha, KE, Wu, Y, Boerwinkle, E, Buxbaum, JD, Cook, EH, Devlin, B, Schellenberg, GD, Sutcliffe, JS, Daly, MJ, Gibbs, RA, Roeder, K, Liu, L, Sabo, A, Neale, BM, Nagaswamy, U, Stevens, C, Lim, E, Bodea, CA, Muzny, D, Reid, JG, Banks, E, Coon, H, DePristo, M, Dinh, H, Fennel, T, Flannick, J, Gabriel, S, Garimella, K, Gross, S, Hawes, A, Lewis, L, Makarov, V, Maguire, J, Newsham, I, Poplin, R, Ripke, S, Shakir, K, Samocha, KE, Wu, Y, Boerwinkle, E, Buxbaum, JD, Cook, EH, Devlin, B, Schellenberg, GD, Sutcliffe, JS, Daly, MJ, Gibbs, RA, and Roeder, K
Abstract: We report on results from whole-exome sequencing (WES) of 1,039 subjects diagnosed with autism spectrum disorders (ASD) and 870 controls selected from the NIMH repository to be of similar ancestry to cases. The WES data came from two centers using different methods to produce sequence and to call variants from it. Therefore, an initial goal was to ensure the distribution of rare variation was similar for data from different centers. This proved straightforward by filtering called variants by fraction of missing data, read depth, and balance of alternative to reference reads. Results were evaluated using seven samples sequenced at both centers and by results from the association study. Next we addressed how the data and/or results from the centers should be combined. Gene-based analyses of association was an obvious choice, but should statistics for association be combined across centers (meta-analysis) or should data be combined and then analyzed (mega-analysis)? Because of the nature of many gene-based tests, we showed by theory and simulations that mega-analysis has better power than meta-analysis. Finally, before analyzing the data for association, we explored the impact of population structure on rare variant analysis in these data. Like other recent studies, we found evidence that population structure can confound case-control studies by the clustering of rare variants in ancestry space; yet, unlike some recent studies, for these data we found that principal component-based analyses were sufficient to control for ancestry and produce test statistics with appropriate distributions. After using a variety of gene-based tests and both meta- and mega-analysis, we found no new risk genes for ASD in this sample. Our results suggest that standard gene-based tests will require much larger samples of cases and controls before being effective for gene discovery, even for a disorder like ASD. © 2013 Liu et al.
Published: 2013

39. Frequency of the C9orf72 hexanucleotide repeat expansion in patients with amyotrophic lateral sclerosis and frontotemporal dementia: a cross-sectional study

Author: Majounie, E, Renton, AE, Mok, K, Dopper, Elise, Waite, A, Rollinson, S, Chio, A, Restagno, G, Nicolaou, N, Simon-Sanchez, J, van Swieten, J.C., Abramzon, Y, Johnson, JO, Sendtner, M, Pamphlett, R, Orrell, RW, Mead, S, Sidle, KC, Houlden, H, Rohrer, JD, Morrison, KE, Pall, H, Talbot, K, Ansorge, O, Hernandez, DG, Arepalli, S, Sabatelli, M, Mora, G, Corbo, M, Giannini, F, Calvo, A, Englund, E, Borghero, G, Foris, GL, Remes, AM, Laaksovirta, H, McCluskey, L, Trojanowski, JQ, Van Deerlin, VM, Schellenberg, GD, Nalls, MA, Drory, VE, Lu, CS, Yeh, TH, Ishiura, H, Takahashi, Y, Tsuji, S, Le Ber, I, Brice, A, Drepper, C, Williams, N, Kirby, J, Shaw, P, Hardy, J, Tienari, PJ, Heutink, P, Morris, HR, Pickering-Brown, S, Traynor, BJ, Majounie, E, Renton, AE, Mok, K, Dopper, Elise, Waite, A, Rollinson, S, Chio, A, Restagno, G, Nicolaou, N, Simon-Sanchez, J, van Swieten, J.C., Abramzon, Y, Johnson, JO, Sendtner, M, Pamphlett, R, Orrell, RW, Mead, S, Sidle, KC, Houlden, H, Rohrer, JD, Morrison, KE, Pall, H, Talbot, K, Ansorge, O, Hernandez, DG, Arepalli, S, Sabatelli, M, Mora, G, Corbo, M, Giannini, F, Calvo, A, Englund, E, Borghero, G, Foris, GL, Remes, AM, Laaksovirta, H, McCluskey, L, Trojanowski, JQ, Van Deerlin, VM, Schellenberg, GD, Nalls, MA, Drory, VE, Lu, CS, Yeh, TH, Ishiura, H, Takahashi, Y, Tsuji, S, Le Ber, I, Brice, A, Drepper, C, Williams, N, Kirby, J, Shaw, P, Hardy, J, Tienari, PJ, Heutink, P, Morris, HR, Pickering-Brown, S, and Traynor, BJ
Abstract: Background We aimed to accurately estimate the frequency of a hexanucleotide repeat expansion in C9orf72 that has been associated with a large proportion of cases of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Methods We screened 4448 patients diagnosed with ALS (El Escorial criteria) and 1425 patients with FTD (Lund-Manchester criteria) from 17 regions worldwide for the GGGGCC hexanucleotide expansion using a repeat-primed PCR assay. We assessed familial disease status on the basis of self-reported family history of similar neurodegenerative diseases at the time of sample collection. We compared haplotype data for 262 patients carrying the expansion with the known Finnish founder risk haplotype across the chromosomal locus. We calculated age-related penetrance using the Kaplan-Meier method with data for 603 individuals with the expansion. Findings In patients with sporadic ALS, we identified the repeat expansion in 236 (7.0%) of 3377 white individuals from the USA, Europe, and Australia, two (4.1%) of 49 black individuals from the USA, and six (8.3%) of 72 Hispanic individuals from the USA. The mutation was present in 217 (39.3%) of 552 white individuals with familial MS from Europe and the USA. 59 (6.0%) of 981 white Europeans with sporadic FTD had the mutation, as did 99 (24.8%) of 400 white Europeans with familial FTD. Data for other ethnic groups were sparse, but we identified one Asian patient with familial ALS (from 20 assessed) and two with familial FTD (from three assessed) who carried the mutation. The mutation was not carried by the three Native Americans or 360 patients from Asia or the Pacific Islands with sporadic MS who were tested, or by 41 Asian patients with sporadic FTD. All patients with the repeat expansion had (partly or fully) the founder haplotype, suggesting a one-off expansion occurring about 1500 years ago. The pathogenic expansion was non-penetrant in individuals younger than 35 years, 50% penetrant by 58 years
Published: 2012

40. Genome-wide analyses of exonic copy number variants in a family-based study point to novel autism susceptibility genes

Author: Bucan, M, Abrahams, BS, Wang, K, Glessner, JT, Herman, EI, Sonnenblick, LI, Alvarez Retuerto, AI, Imielinski, M, Hadley, D, Bradfield, JP, Kim, C, Gidaya, NB, Lindquist, I, Hutman, T, Sigman, M, Kustanovich, V, Lajonchere, CM, Singleton, A, Kim, J, Wassink, TH, McMahon, WM, Owley, T, Sweeney, JA, Coon, H, Nurnberger, JI, Li, M, Cantor, RM, Minshew, NJ, Sutcliffe, JS, Cook, EH, Dawson, G, Buxbaum, JD, Grant, SFA, Schellenberg, GD, Geschwind, DH, Hakonarson, H, Bucan, M, Abrahams, BS, Wang, K, Glessner, JT, Herman, EI, Sonnenblick, LI, Alvarez Retuerto, AI, Imielinski, M, Hadley, D, Bradfield, JP, Kim, C, Gidaya, NB, Lindquist, I, Hutman, T, Sigman, M, Kustanovich, V, Lajonchere, CM, Singleton, A, Kim, J, Wassink, TH, McMahon, WM, Owley, T, Sweeney, JA, Coon, H, Nurnberger, JI, Li, M, Cantor, RM, Minshew, NJ, Sutcliffe, JS, Cook, EH, Dawson, G, Buxbaum, JD, Grant, SFA, Schellenberg, GD, Geschwind, DH, and Hakonarson, H
Abstract: The genetics underlying the autism spectrum disorders (ASDs) is complex and remains poorly understood. Previous work has demonstrated an important role for structural variation in a subset of cases, but has lacked the resolution necessary to move beyond detection of large regions of potential interest to identification of individual genes. To pinpoint genes likely to contribute to ASD etiology, we performed high density genotyping in 912 multiplex families from the Autism Genetics Resource Exchange (AGRE) collection and contrasted results to those obtained for 1,488 healthy controls. Through prioritization of exonic deletions (eDels), exonic duplications (eDups), and whole gene duplication events (gDups), we identified more than 150 loci harboring rare variants in multiple unrelated probands, but no controls. Importantly, 27 of these were confirmed on examination of an independent replication cohort comprised of 859 cases and an additional 1,051 controls. Rare variants at known loci, including exonic deletions at NRXN1 and whole gene duplications encompassing UBE3A and several other genes in the 15q11-q13 region, were observed in the course of these analyses. Strong support was likewise observed for previously unreported genes such as BZRAP1, an adaptor molecule known to regulate synaptic transmission, with eDels or eDups observed in twelve unrelated cases but no controls (p = 2.3×10-5). Less is known about MDGA2, likewise observed to be case-specific (p = 1.3×10-4). But, it is notable that the encoded protein shows an unexpectedly high similarity to Contactin 4 (BLAST E-value = 3×10-39), which has also been linked to disease. That hundreds of distinct rare variants were each seen only once further highlights complexity in the ASDs and points to the continued need for larger cohorts.
Published: 2009

41. GBA mutations increase risk for Lewy body disease with and without Alzheimer disease pathology.

Author: Tsuang D, Leverenz JB, Lopez OL, Hamilton RL, Bennett DA, Schneider JA, Buchman AS, Larson EB, Crane PK, Kaye JA, Kramer P, Woltjer R, Kukull W, Nelson PT, Jicha GA, Neltner JH, Galasko D, Masliah E, Trojanowski JQ, and Schellenberg GD
Published: 2012
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42. ABCB1 genotype and CSF beta-amyloid in Alzheimer disease.

Author: Kohen R, Shofer JB, Korvatska O, Petrie EC, Wang LY, Schellenberg GD, Peskind ER, Wilkinson CW, Kohen, R, Shofer, J B, Korvatska, O, Petrie, E C, Wang, L Y, Schellenberg, G D, Peskind, E R, and Wilkinson, C W
Abstract: The ABCB1 gene, coding for the efflux transporter P-glycoprotein (PGP), is a candidate gene for Alzheimer disease (AD). P-glycoprotein is heavily expressed at the blood-brain barrier, where it mediates the efflux of β-amyloid (Aβ) from the brain. In this study, we investigated a possible association between 2 common ABCB1 polymorphisms, G2677T/A (Ala893Ser/Thr) and C3435T, AD, and cerebrospinal fluid (CSF) levels of Aβ. No strong evidence for association was found. [ABSTRACT FROM AUTHOR]
Published: 2011
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43. Familial prion disease with Alzheimer disease-like tau pathology and clinical phenotype.

Author: Jayadev S, Nochlin D, Poorkaj P, Steinbart EJ, Mastrianni JA, Montine TJ, Ghetti B, Schellenberg GD, Bird TD, Leverenz JB, Jayadev, Suman, Nochlin, David, Poorkaj, Parvoneh, Steinbart, Ellen J, Mastrianni, James A, Montine, Thomas J, Ghetti, Bernardino, Schellenberg, Gerard D, Bird, Thomas D, and Leverenz, James B
Abstract: Objective: To describe the Alzheimer disease (AD)-like clinical and pathological features, including marked neurofibrillary tangle (NFT) pathology, of a familial prion disease due to a rare nonsense mutation of the prion gene (PRNP).Methods: Longitudinal clinical assessments were available for the proband and her mother. After death, both underwent neuropathological evaluation. PRNP was sequenced after failure to find immunopositive Aβ deposits in the proband and the documentation of prion protein (PrP) immunopositive pathology.Results: The proband presented at age 42 years with a 3-year history of progressive short-term memory impairment and depression. Neuropsychological testing found impaired memory performance, with relatively preserved attention and construction. She was diagnosed with AD and died at age 47 years. Neuropathologic evaluation revealed extensive limbic and neocortical NFT formation and neuritic plaques consistent with a Braak stage of VI. The NFTs were immunopositive, with multiple tau antibodies, and electron microscopy revealed paired helical filaments. However, the neuritic plaques were immunonegative for Aβ, whereas immunostaining for PrP was positive. The mother of the proband had a similar presentation, including depression, and had been diagnosed clinically and pathologically as AD. Reevaluation of her brain tissue confirmed similar tau and PrP immunostaining findings. Genetic analysis revealed that both the proband and her mother had a rare PRNP mutation (Q160X) that resulted in the production of truncated PrP.Interpretation: We suggest that PRNP mutations that result in a truncation of PrP lead to a prolonged clinical course consistent with a clinical diagnosis of AD and severe AD-like NFTs. [ABSTRACT FROM AUTHOR]
Published: 2011
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44. A comprehensive analysis of deletions, multiplications, and copy number variations in PARK2.

Author: Kay DM, Stevens CF, Hamza TH, Montimurro JS, Zabetian CP, Factor SA, Samii A, Griffith A, Roberts JW, Molho ES, Higgins DS, Gancher S, Moses L, Zareparsi S, Poorkaj P, Bird T, Nutt J, Schellenberg GD, Payami H, and Kay, D M
Published: 2010
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45. Effects of apolipoprotein E-epsilon4 and -epsilon2 in amnestic mild cognitive impairment and dementia in Shanghai: SCOBHI-P.

Author: Borenstein AR, Mortimer JA, Ding D, Schellenberg GD, DeCarli C, Zhao Q, Copenhaver C, Qihao Guo, Chu S, Galasko D, Salmon DP, Dai Q, Wu Y, Petersen R, and Hong Z
Abstract: OBJECTIVE: To determine apolipoprotein E (APOE)-epsilon4 and -epsilon2 frequencies and risk of mild cognitive impairment (MCI) and dementia in Shanghai, China. METHODS: A total of 34 MCI and 34 dementia cases were recruited from an urban Memory Disorders Clinic and 32 controls were recruited from a residential community served by the clinic. Apolipoprotein E was genotyped using standard methods. RESULTS: Among controls, frequencies were epsilon2, 0.11; epsilon3, 0.84; and epsilon4, 0.05; among MCI, 0.05, 0.77, and 0.18; and for dementia, 0.02, 0.84, and 0.15, respectively. In education-adjusted models, the odds ratio (OR) = 5.6 for dementia (95% CI = 1.09-29.3) and 4.7 for MCI (95% CI = 0.90-25.2) associated with any epsilon4 allele. The epsilon2 allele was inversely associated with dementia (OR = 0.12, 95% CI = 0.013-0.997) and MCI (OR = 0.38, 95% CI = 0.08-1.61). CONCLUSIONS: APOE-epsilon4 increases and -epsilon2 decreases the risk of dementia vs normal cognition. Similar trends were observed for amnestic mild cognitive impairment (aMCI). [ABSTRACT FROM AUTHOR]
Published: 2010
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46. Apolipoprotein E highly correlates with AbetaPP- and tau-related markers in human cerebrospinal fluid.

Author: Vuletic S, Li G, Peskind ER, Kennedy H, Marcovina SM, Leverenz JB, Petrie EC, Lee VM, Galasko D, Schellenberg GD, Albers JJ, Vuletic, Simona, Li, Ge, Peskind, Elaine R, Kennedy, Hal, Marcovina, Santica M, Leverenz, James B, Petrie, Eric C, Lee, Virginia M-Y, and Galasko, Douglas
Abstract: We assessed cerebrospinal fluid (CSF) levels of apolipoprotein E (apoE), phospholipid transfer protein (PLTP) activity, cholesterol, secreted amyloid-beta protein precursor alpha and beta (sAbetaPPalpha, sAbetaPPbeta), amyloid-beta peptides 1-40 (Abeta_{40}) and 1-42 (Abeta_{42}), total tau and tau phosphorylated at threonine 181 (pTau) in neurologically healthy, cognitively intact adults. ApoE significantly correlated with sAbetaPPalpha (r = 0.679), sAbetaPPbeta (r = 0.634), Abeta_{40} (r = 0.609), total and pTau (r = 0.589 and r = 0.673, respectively, all p < 0.001), PLTP activity (r = 0.242, p = 0.002) and cholesterol (r = 0.194, p < 0.01). PLTP activity significantly correlated with sAbetaPPalpha (r = 0.292), sAbetaPPbeta (r = 0.281), total and pTau (r = 0.265 and 0.258, respectively; all p
Published: 2008
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47. Intranasal insulin administration dose-dependently modulates verbal memory and plasma amyloid-beta in memory-impaired older adults.

Author: Reger MA, Watson GS, Green PS, Baker LD, Cholerton B, Fishel MA, Plymate SR, Cherrier MM, Schellenberg GD, Frey Ii WH, Craft S, Reger, Mark A, Watson, G Stennis, Green, Pattie S, Baker, Laura D, Cholerton, Brenna, Fishel, Mark A, Plymate, Stephen R, Cherrier, Monique M, and Schellenberg, Gerard D
Abstract: Intranasal insulin administration raises central nervous system (CNS) insulin levels in humans and acutely facilitates verbal memory in patients with Alzheimer's disease (AD), an effect that may differ by APOE genotype. The purpose of this study was to examine the cognitive dose response curves for intranasal insulin administration, and determine whether the effects of insulin differ between participants with (epsilon4+) and without (epsilon4-) the APOE- epsilon4 allele. On separate mornings, 33 memory-impaired adults with AD or amnestic mild cognitive impairment and 59 normal adults each underwent five intranasal treatment conditions consisting of insulin (10, 20, 40, or 60 IU) or placebo. Cognition was tested 15-minutes post-treatment, and blood was acquired at baseline and 45-minutes post-treatment. Plasma insulin and glucose levels were unaffected by treatment. Insulin administration facilitated recall on two measures of verbal memory in memory-impaired epsilon4- adults, with performance generally peaking at 20 IU. In contrast, memory-impaired epsilon4+ subjects demonstrated a relative decline in verbal memory. Insulin also differentially modulated plasma amyloid-beta for memory-impaired subjects and normal controls, effects that again differed by APOE genotype. These findings suggest that groups with different genetic risks for AD may show differential dose-response curves following intranasal insulin administration. [ABSTRACT FROM AUTHOR]
Published: 2008
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48. Multiple SNPs within and surrounding the apolipoprotein E gene influence cerebrospinal fluid apolipoprotein E protein levels.

Author: Bekris LM, Millard SP, Galloway NM, Vuletic S, Albers JJ, Li G, Galasko DR, Decarli C, Farlow MR, Clark CM, Quinn JF, Kaye JA, Schellenberg GD, Tsuang D, Peskind ER, Yu CE, Bekris, Lynn M, Millard, Steven P, Galloway, Nichole M, and Vuletic, Simona
Abstract: The epsilon4 allele of the apolipoprotein E gene (APOE) is associated with increased risk and earlier age at onset in late onset Alzheimer's disease (AD). Other factors, such as expression level of apolipoprotein E protein (apoE), have been postulated to modify the APOE related risk of developing AD. Multiple loci in and outside of APOE are associated with a high risk of AD. The aim of this exploratory hypothesis generating investigation was to determine if some of these loci predict cerebrospinal fluid (CSF) apoE levels in healthy non-demented subjects. CSF apoE levels were measured from healthy non-demented subjects 21-87 years of age (n=134). Backward regression models were used to evaluate the influence of 21 SNPs, within and surrounding APOE, on CSF apoE levels while taking into account age, gender, APOE epsilon4 and correlation between SNPs (linkage disequilibrium). APOE epsilon4 genotype does not predict CSF apoE levels. Three SNPs within the TOMM40 gene, one APOE promoter SNP and two SNPs within distal APOE enhancer elements (ME1 and BCR) predict CSF apoE levels. Further investigation of the genetic influence of these loci on apoE expression levels in the central nervous system is likely to provide new insight into apoE regulation as well as AD pathogenesis. [ABSTRACT FROM AUTHOR]
Published: 2008
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49. CSF tau/Abeta42 ratio for increased risk of mild cognitive impairment: a follow-up study.

Author: Li G, Sokal I, Quinn JF, Leverenz JB, Brodey M, Schellenberg GD, Kaye JA, Raskind MA, Zhang J, Peskind ER, and Montine TJ
Published: 2007
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50. Serum cholesterol and risk of Alzheimer disease: a community-based cohort study.

Author: Li G, Shofer JB, Kukull WA, Peskind ER, Tsuang DW, Breitner JCS, McCormick W, Bowen JD, Teri L, Schellenberg GD, and Larson EB
Published: 2005
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