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1. Whole genome‐wide sequence analysis of long‐lived families (Long‐Life Family Study) identifies MTUS2 gene associated with late‐onset Alzheimer's disease

Author

Xicota, Laura, Cosentino, Stephanie, Vardarajan, Badri, Mayeux, Richard, Perls, Thomas T, Andersen, Stacy L, Zmuda, Joseph M, Thyagarajan, Bharat, Yashin, Anatoli, Wojczynski, Mary K, Krinsky‐McHale, Sharon, Handen, Benjamin L, Christian, Bradley T, Head, Elizabeth, Mapstone, Mark E, Schupf, Nicole, Lee, Joseph H, Barral, Sandra, Study, the Long‐Life Family, Abner, Erin, Adams, Perrie M, Aguirre, Alyssa, Albert, Marilyn S, Albin, Roger L, Allen, Mariet, Alvarez, Lisa, Andrews, Howard, Apostolova, Liana G, Arnold, Steven E, Asthana, Sanjay, Atwood, Craig S, Ayres, Gayle, Barber, Robert C, Barnes, Lisa L, Bartlett, Jackie, Beach, Thomas G, Becker, James T, Beecham, Gary W, Benchek, Penelope, Bennett, David A, Bertelson, John, Biber, Sarah A, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, Bowen, James D, Boxer, Adam, Brewer, James B, Burke, James R, Burns, Jeffrey M, Bush, William S, Buxbaum, Joseph D, Byrd, Goldie, Cantwell, Laura B, Cao, Chuanhai, Carlsson, Cynthia M, Carrasquillo, Minerva M, Chan, Kwun C, Chasse, Scott, Chen, Yen‐Chi, Chesselet, Marie‐Francoise, Chin, Nathaniel A, Chui, Helena C, Chung, Jaeyoon, Craft, Suzanne, Crane, Paul K, Cranney, Marissa, Cruchaga, Carlos, Cuccaro, Michael L, Culhane, Jessica, Cullum, C Munro, Darby, Eveleen, Davis, Barbara, De Jager, Philip L, DeCarli, Charles, DeToledo, John C, Dickson, Dennis W, Dobbins, Nic, Duara, Ranjan, Ertekin‐Taner, Nilufer, Evans, Denis A, Faber, Kelley M, Fairchild, Thomas J, Fallin, Daniele, Fallon, Kenneth B, Fardo, David W, Farlow, Martin R, Farrell, John, Farrer, Lindsay A, Fernandez‐Hernandez, Victoria, Foroud, Tatiana M, Frosch, Matthew P, Galasko, Douglas R, Gamboa, Adriana, Gauthreaux, Kathryn M, Gefen, Tamar, Geschwind, Daniel H, Ghetti, Bernardino, and Gilbert, John R

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Neurodegenerative, Dementia, Alzheimer's Disease, Genetics, Aging, Brain Disorders, Acquired Cognitive Impairment, Human Genome, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 2.1 Biological and endogenous factors, Neurological, Humans, Alzheimer Disease, Amyloid beta-Peptides, Genetic Predisposition to Disease, Genome-Wide Association Study, Microtubule-Associated Proteins, Polymorphism, Single Nucleotide, Sequence Analysis, genetic risk, late-onset Alzheimer's disease, microtubule protein, MTUS2 gene, whole genome sequence, Long‐Life Family Study, Alzheimer's Disease Genetic Consortium, Alzheimer's Biomarkers Consortium‐Down Syndrome, late‐onset Alzheimer's disease, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionLate-onset Alzheimer's disease (LOAD) has a strong genetic component. Participants in Long-Life Family Study (LLFS) exhibit delayed onset of dementia, offering a unique opportunity to investigate LOAD genetics.MethodsWe conducted a whole genome sequence analysis of 3475 LLFS members. Genetic associations were examined in six independent studies (N = 14,260) with a wide range of LOAD risk. Association analysis in a sub-sample of the LLFS cohort (N = 1739) evaluated the association of LOAD variants with beta amyloid (Aβ) levels.ResultsWe identified several single nucleotide polymorphisms (SNPs) in tight linkage disequilibrium within the MTUS2 gene associated with LOAD (rs73154407, p = 7.6 × 10-9). Association of MTUS2 variants with LOAD was observed in the five independent studies and was significantly stronger within high levels of Aβ42/40 ratio compared to lower amyloid.DiscussionMTUS2 encodes a microtubule associated protein implicated in the development and function of the nervous system, making it a plausible candidate to investigate LOAD biology.HighlightsLong-Life Family Study (LLFS) families may harbor late onset Alzheimer's dementia (LOAD) variants. LLFS whole genome sequence analysis identified MTUS2 gene variants associated with LOAD. The observed LLFS variants generalized to cohorts with wide range of LOAD risk. The association of MTUS2 with LOAD was stronger within high levels of beta amyloid. Our results provide evidence for MTUS2 gene as a novel LOAD candidate locus.

Published
2024

2. Combinatorial BLAS 2.0: Scaling combinatorial algorithms on distributed-memory systems

Author

Azad, Ariful, Selvitopi, Oguz, Hussain, Md Taufique, Gilbert, John R., and Buluc, Aydin

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Discrete Mathematics, Computer Science - Performance, Mathematics - Combinatorics
Abstract

Combinatorial algorithms such as those that arise in graph analysis, modeling of discrete systems, bioinformatics, and chemistry, are often hard to parallelize. The Combinatorial BLAS library implements key computational primitives for rapid development of combinatorial algorithms in distributed-memory systems. During the decade since its first introduction, the Combinatorial BLAS library has evolved and expanded significantly. This paper details many of the key technical features of Combinatorial BLAS version 2.0, such as communication avoidance, hierarchical parallelism via in-node multithreading, accelerator support via GPU kernels, generalized semiring support, implementations of key data structures and functions, and scalable distributed I/O operations for human-readable files. Our paper also presents several rules of thumb for choosing the right data structures and functions in Combinatorial BLAS 2.0, under various common application scenarios., Comment: To appear in IEEE Transactions on Parallel and Distributed Systems

Published
2021

3. Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems

Author

Azad, Ariful, Selvitopi, Oguz, Hussain, Taufique, Gilbert, John R, and Buluç, Aydın

Subjects
Sparse matrices, Libraries, Data structures, Indexes, Three-dimensional displays, Data analysis, Computational modeling, parallel computing, combinatorics, graph theory, communication-avoidance algorithms, Computer Software, Distributed Computing, Communications Technologies, Distributed computing and systems software
Abstract

Combinatorial algorithms such as those that arise in graph analysis, modeling of discrete systems, bioinformatics, and chemistry, are often hard to parallelize. The Combinatorial BLAS library implements key computational primitives for rapid development of combinatorial algorithms in distributed-memory systems. During the decade since its first introduction, the Combinatorial BLAS library has evolved and expanded significantly. This article details many of the key technical features of Combinatorial BLAS version 2.0, such as communication avoidance, hierarchical parallelism via in-node multithreading, accelerator support via GPU kernels, generalized semiring support, implementations of key data structures and functions, and scalable distributed I/O operations for human-readable files. Our article also presents several rules of thumb for choosing the right data structures and functions in Combinatorial BLAS 2.0, under various common application scenarios.

Published
2022

4. Evidence of novel fine-scale structural variation at autism spectrum disorder candidate loci

Author

Hedges Dale J, Hamilton-Nelson Kara L, Sacharow Stephanie J, Nations Laura, Beecham Gary W, Kozhekbaeva Zhanna M, Butler Brittany L, Cukier Holly N, Whitehead Patrice L, Ma Deqiong, Jaworski James M, Nathanson Lubov, Lee Joycelyn M, Hauser Stephen L, Oksenberg Jorge R, Cuccaro Michael L, Haines Jonathan L, Gilbert John R, and Pericak-Vance Margaret A

Subjects
AUTISM, CGH, CNV, GABA, NRXN1, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Autism spectrum disorders (ASD) represent a group of neurodevelopmental disorders characterized by a core set of social-communicative and behavioral impairments. Gamma-aminobutyric acid (GABA) is the major inhibitory neurotransmitter in the brain, acting primarily via the GABA receptors (GABR). Multiple lines of evidence, including altered GABA and GABA receptor expression in autistic patients, indicate that the GABAergic system may be involved in the etiology of autism. Methods As copy number variations (CNVs), particularly rare and de novo CNVs, have now been implicated in ASD risk, we examined the GABA receptors and genes in related pathways for structural variation that may be associated with autism. We further extended our candidate gene set to include 19 genes and regions that had either been directly implicated in the autism literature or were directly related (via function or ancestry) to these primary candidates. For the high resolution CNV screen we employed custom-designed 244 k comparative genomic hybridization (CGH) arrays. Collectively, our probes spanned a total of 11 Mb of GABA-related and additional candidate regions with a density of approximately one probe every 200 nucleotides, allowing a theoretical resolution for detection of CNVs of approximately 1 kb or greater on average. One hundred and sixty-eight autism cases and 149 control individuals were screened for structural variants. Prioritized CNV events were confirmed using quantitative PCR, and confirmed loci were evaluated on an additional set of 170 cases and 170 control individuals that were not included in the original discovery set. Loci that remained interesting were subsequently screened via quantitative PCR on an additional set of 755 cases and 1,809 unaffected family members. Results Results include rare deletions in autistic individuals at JAKMIP1, NRXN1, Neuroligin4Y, OXTR, and ABAT. Common insertion/deletion polymorphisms were detected at several loci, including GABBR2 and NRXN3. Overall, statistically significant enrichment in affected vs. unaffected individuals was observed for NRXN1 deletions. Conclusions These results provide additional support for the role of rare structural variation in ASD.

Published
2012
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5. An X chromosome-wide association study in autism families identifies TBL1X as a novel autism spectrum disorder candidate gene in males

Author

Chung Ren-Hua, Ma Deqiong, Wang Kai, Hedges Dale J, Jaworski James M, Gilbert John R, Cuccaro Michael L, Wright Harry H, Abramson Ruth K, Konidari Ioanna, Whitehead Patrice L, Schellenberg Gerard D, Hakonarson Hakon, Haines Jonathan L, Pericak-Vance Margaret A, and Martin Eden R

Subjects
Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with a strong genetic component. The skewed prevalence toward males and evidence suggestive of linkage to the X chromosome in some studies suggest the presence of X-linked susceptibility genes in people with ASD. Methods We analyzed genome-wide association study (GWAS) data on the X chromosome in three independent autism GWAS data sets: two family data sets and one case-control data set. We performed meta- and joint analyses on the combined family and case-control data sets. In addition to the meta- and joint analyses, we performed replication analysis by using the two family data sets as a discovery data set and the case-control data set as a validation data set. Results One SNP, rs17321050, in the transducin β-like 1X-linked (TBL1X) gene [OMIM:300196] showed chromosome-wide significance in the meta-analysis (P value = 4.86 × 10-6) and joint analysis (P value = 4.53 × 10-6) in males. The SNP was also close to the replication threshold of 0.0025 in the discovery data set (P = 5.89 × 10-3) and passed the replication threshold in the validation data set (P = 2.56 × 10-4). Two other SNPs in the same gene in linkage disequilibrium with rs17321050 also showed significance close to the chromosome-wide threshold in the meta-analysis. Conclusions TBL1X is in the Wnt signaling pathway, which has previously been implicated as having a role in autism. Deletions in the Xp22.2 to Xp22.3 region containing TBL1X and surrounding genes are associated with several genetic syndromes that include intellectual disability and autistic features. Our results, based on meta-analysis, joint analysis and replication analysis, suggest that TBL1X may play a role in ASD risk.

Published
2011
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6. A noise-reduction GWAS analysis implicates altered regulation of neurite outgrowth and guidance in autism

Author

Hussman John P, Chung Ren-Hua, Griswold Anthony J, Jaworski James M, Salyakina Daria, Ma Deqiong, Konidari Ioanna, Whitehead Patrice L, Vance Jeffery M, Martin Eden R, Cuccaro Michael L, Gilbert John R, Haines Jonathan L, and Pericak-Vance Margaret A

Subjects
Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Genome-wide Association Studies (GWAS) have proved invaluable for the identification of disease susceptibility genes. However, the prioritization of candidate genes and regions for follow-up studies often proves difficult due to false-positive associations caused by statistical noise and multiple-testing. In order to address this issue, we propose the novel GWAS noise reduction (GWAS-NR) method as a way to increase the power to detect true associations in GWAS, particularly in complex diseases such as autism. Methods GWAS-NR utilizes a linear filter to identify genomic regions demonstrating correlation among association signals in multiple datasets. We used computer simulations to assess the ability of GWAS-NR to detect association against the commonly used joint analysis and Fisher's methods. Furthermore, we applied GWAS-NR to a family-based autism GWAS of 597 families and a second existing autism GWAS of 696 families from the Autism Genetic Resource Exchange (AGRE) to arrive at a compendium of autism candidate genes. These genes were manually annotated and classified by a literature review and functional grouping in order to reveal biological pathways which might contribute to autism aetiology. Results Computer simulations indicate that GWAS-NR achieves a significantly higher classification rate for true positive association signals than either the joint analysis or Fisher's methods and that it can also achieve this when there is imperfect marker overlap across datasets or when the closest disease-related polymorphism is not directly typed. In two autism datasets, GWAS-NR analysis resulted in 1535 significant linkage disequilibrium (LD) blocks overlapping 431 unique reference sequencing (RefSeq) genes. Moreover, we identified the nearest RefSeq gene to the non-gene overlapping LD blocks, producing a final candidate set of 860 genes. Functional categorization of these implicated genes indicates that a significant proportion of them cooperate in a coherent pathway that regulates the directional protrusion of axons and dendrites to their appropriate synaptic targets. Conclusions As statistical noise is likely to particularly affect studies of complex disorders, where genetic heterogeneity or interaction between genes may confound the ability to detect association, GWAS-NR offers a powerful method for prioritizing regions for follow-up studies. Applying this method to autism datasets, GWAS-NR analysis indicates that a large subset of genes involved in the outgrowth and guidance of axons and dendrites is implicated in the aetiology of autism.

Published
2011
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7. A comparative analysis of the information content in long and short SAGE libraries

Author

Haines Jonathan L, Hulette Christine M, Schmechel Donald E, Qin Xuejun, Xu Puting, Li Yi-Ju, Pericak-Vance Margaret A, and Gilbert John R

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background Serial Analysis of Gene Expression (SAGE) is a powerful tool to determine gene expression profiles. Two types of SAGE libraries, ShortSAGE and LongSAGE, are classified based on the length of the SAGE tag (10 vs. 17 basepairs). LongSAGE libraries are thought to be more useful than ShortSAGE libraries, but their information content has not been widely compared. To dissect the differences between these two types of libraries, we utilized four libraries (two LongSAGE and two ShortSAGE libraries) generated from the hippocampus of Alzheimer and control samples. In addition, we generated two additional short SAGE libraries, the truncated long SAGE libraries (tSAGE), from LongSAGE libraries by deleting seven 5' basepairs from each LongSAGE tag. Results One problem that occurred in the SAGE study is that individual tags may have matched to multiple different genes - due to the short length of a tag. We found that the LongSAGE tag maps up to 15 UniGene clusters, while the ShortSAGE and tSAGE tags map up to 279 UniGene clusters. Both long and short SAGE libraries exhibit a large number of orphan tags (no gene information in UniGene), implying the limitation of the UniGene database. Among 100 orphan LongSAGE tags, the complete sequences (17 basepairs) of nine orphan tags match to 17 genomic sequences; four of the orphan tags match to a single genomic sequence. Our data show the potential to resolve 4-9% of orphan LongSAGE tags. Finally, among 400 tSAGE tags showing significant differential expression between AD and control, 79 tags (19.8%) were derived from multiple non-significant LongSAGE tags, implying the false positive results. Conclusions Our data show that LongSAGE tags have high specificity in gene mapping compared to ShortSAGE tags. LongSAGE tags show an advantage over ShortSAGE in identifying novel genes by BLAST analysis. Most importantly, the chances of obtaining false positive results are higher for ShortSAGE than LongSAGE libraries due to their specificity in gene mapping. Therefore, it is recommended that the number of corresponding UniGene clusters (gene or ESTs) of a tag for prioritizing the significant results be considered.

Published
2006
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8. Ordered subset linkage analysis supports a susceptibility locus for age-related macular degeneration on chromosome 16p12

Author

Weeks Daniel E, Gilbert John R, De La Paz Monica A, Hauser Elizabeth R, Agarwal Anita, Postel Eric A, Scott William K, Schmidt Silke, Gorin Michael B, Haines Jonathan L, and Pericak-Vance Margaret A

Subjects
Genetics, QH426-470
Abstract

Abstract Background Age-related macular degeneration (AMD) is a complex disorder that is responsible for the majority of central vision loss in older adults living in developed countries. Phenotypic and genetic heterogeneity complicate the analysis of genome-wide scans for AMD susceptibility loci. The ordered subset analysis (OSA) method is an approach for reducing heterogeneity, increasing statistical power for detecting linkage, and helping to define the most informative data set for follow-up analysis. OSA assesses the linkage evidence in subsets of potentially more homogeneous families by rank-ordering family-specific lod scores with respect to trait-associated covariates or phenotypic features. Here, we present results of incorporating five continuous covariates into our genome-wide linkage analysis of 389 microsatellite markers in 62 multiplex families: Body mass index (BMI), systolic (SBP) and diastolic (DBP) blood pressure, intraocular pressure (IOP), and pack-years of cigarette smoking. Chromosome-wide significance of increases in nonparametric multipoint lod scores in covariate-defined subsets relative to the overall sample was assessed by permutation. Results Using a correction for testing multiple covariates, statistically significant lod score increases were observed for two chromosomal regions: 14q13 with a lod score of 3.2 in 28 families with average IOP ≤ 15.5 (p = 0.002), and 6q14 with a lod score of 1.6 in eight families with average BMI ≥ 30.1 (p = 0.0004). On chromosome 16p12, nominally significant lod score increases (p ≤ 0.05), up to a lod score of 2.9 in 32 families, were observed with several covariate orderings. While less significant, this was the only region where linkage evidence was associated with multiple clinically meaningful covariates and the only nominally significant finding when analysis was restricted to advanced forms of AMD. Families with linkage to 16p12 had higher averages of SBP, IOP and BMI and were primarily affected with neovascular AMD. For all three regions, linkage signals at or very near the peak marker have previously been reported. Conclusion Our results suggest that a susceptibility gene on chromosome 16p12 may predispose to AMD, particularly to the neovascular form, and that further research into the previously suggested association of neovascular AMD and systemic hypertension is warranted.

Published
2004
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9. Exceptionally low likelihood of Alzheimer's dementia in APOE2 homozygotes from a 5,000-person neuropathological study.

Author

Reiman, Eric M, Arboleda-Velasquez, Joseph F, Quiroz, Yakeel T, Huentelman, Matthew J, Beach, Thomas G, Caselli, Richard J, Chen, Yinghua, Su, Yi, Myers, Amanda J, Hardy, John, Paul Vonsattel, Jean, Younkin, Steven G, Bennett, David A, De Jager, Philip L, Larson, Eric B, Crane, Paul K, Keene, C Dirk, Kamboh, M Ilyas, Kofler, Julia K, Duque, Linda, Gilbert, John R, Gwirtsman, Harry E, Buxbaum, Joseph D, Dickson, Dennis W, Frosch, Matthew P, Ghetti, Bernardino F, Lunetta, Kathryn L, Wang, Li-San, Hyman, Bradley T, Kukull, Walter A, Foroud, Tatiana, Haines, Jonathan L, Mayeux, Richard P, Pericak-Vance, Margaret A, Schneider, Julie A, Trojanowski, John Q, Farrer, Lindsay A, Schellenberg, Gerard D, Beecham, Gary W, Montine, Thomas J, Jun, Gyungah R, and Alzheimer’s Disease Genetics Consortium

Subjects
Alzheimer’s Disease Genetics Consortium, Brain, Humans, Alzheimer Disease, Genetic Predisposition to Disease, Probability, Genotype, Homozygote, Alleles, Aged, Aged, 80 and over, Middle Aged, Female, Male, Apolipoprotein E2, Apolipoprotein E3, Apolipoprotein E4, Genetic Association Studies, Neuropathology, Aging, Brain Disorders, Acquired Cognitive Impairment, Dementia, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Genetics, Alzheimer's Disease, Prevention, Neurosciences, 2.1 Biological and endogenous factors, Neurological
Abstract

Each additional copy of the apolipoprotein E4 (APOE4) allele is associated with a higher risk of Alzheimer's dementia, while the APOE2 allele is associated with a lower risk of Alzheimer's dementia, it is not yet known whether APOE2 homozygotes have a particularly low risk. We generated Alzheimer's dementia odds ratios and other findings in more than 5,000 clinically characterized and neuropathologically characterized Alzheimer's dementia cases and controls. APOE2/2 was associated with a low Alzheimer's dementia odds ratios compared to APOE2/3 and 3/3, and an exceptionally low odds ratio compared to APOE4/4, and the impact of APOE2 and APOE4 gene dose was significantly greater in the neuropathologically confirmed group than in more than 24,000 neuropathologically unconfirmed cases and controls. Finding and targeting the factors by which APOE and its variants influence Alzheimer's disease could have a major impact on the understanding, treatment and prevention of the disease.

Published
2020

10. An Empirical Study of Cycle Toggling Based Laplacian Solvers

Author

Deweese, Kevin, Gilbert, John R., Miller, Gary, Peng, Richard, Xu, Hao Ran, and Xu, Shen Chen

Subjects
Computer Science - Data Structures and Algorithms
Abstract

We study the performance of linear solvers for graph Laplacians based on the combinatorial cycle adjustment methodology proposed by [Kelner-Orecchia-Sidford-Zhu STOC-13]. The approach finds a dual flow solution to this linear system through a sequence of flow adjustments along cycles. We study both data structure oriented and recursive methods for handling these adjustments. The primary difficulty faced by this approach, updating and querying long cycles, motivated us to study an important special case: instances where all cycles are formed by fundamental cycles on a length $n$ path. Our methods demonstrate significant speedups over previous implementations, and are competitive with standard numerical routines., Comment: SIAM CSC Workshop 2016 pre-print

Published
2016

11. LiRa: A New Likelihood-Based Similarity Score for Collaborative Filtering

Author

Strnadova-Neeley, Veronika, Buluc, Aydin, Gilbert, John R., Oliker, Leonid, and Ouyang, Weimin

Subjects
Computer Science - Information Retrieval
Abstract

Recommender system data presents unique challenges to the data mining, machine learning, and algorithms communities. The high missing data rate, in combination with the large scale and high dimensionality that is typical of recommender systems data, requires new tools and methods for efficient data analysis. Here, we address the challenge of evaluating similarity between two users in a recommender system, where for each user only a small set of ratings is available. We present a new similarity score, that we call LiRa, based on a statistical model of user similarity, for large-scale, discrete valued data with many missing values. We show that this score, based on a ratio of likelihoods, is more effective at identifying similar users than traditional similarity scores in user-based collaborative filtering, such as the Pearson correlation coefficient. We argue that our approach has significant potential to improve both accuracy and scalability in collaborative filtering., Comment: - added acknowledgments - fixed typos (results unchanged) 8 pages

Published
2016

12. Transethnic genome‐wide scan identifies novel Alzheimer's disease loci

Author

Jun, Gyungah R, Chung, Jaeyoon, Mez, Jesse, Barber, Robert, Beecham, Gary W, Bennett, David A, Buxbaum, Joseph D, Byrd, Goldie S, Carrasquillo, Minerva M, Crane, Paul K, Cruchaga, Carlos, De Jager, Philip, Ertekin‐Taner, Nilufer, Evans, Denis, Fallin, M Danielle, Foroud, Tatiana M, Friedland, Robert P, Goate, Alison M, Graff‐Radford, Neill R, Hendrie, Hugh, Hall, Kathleen S, Hamilton‐Nelson, Kara L, Inzelberg, Rivka, Kamboh, M Ilyas, Kauwe, John SK, Kukull, Walter A, Kunkle, Brian W, Kuwano, Ryozo, Larson, Eric B, Logue, Mark W, Manly, Jennifer J, Martin, Eden R, Montine, Thomas J, Mukherjee, Shubhabrata, Naj, Adam, Reiman, Eric M, Reitz, Christiane, Sherva, Richard, St. George‐Hyslop, Peter H, Thornton, Timothy, Younkin, Steven G, Vardarajan, Badri N, Wang, Li‐San, Wendlund, Jens R, Winslow, Ashley R, Adams, Perrie M, Albert, Marilyn S, Albin, Roger L, Apostolova, Liana G, Arnold, Steven E, Asthana, Sanjay, Atwood, Craig S, Barmada, Michjael M, Barnes, Lisa L, Beach, Thomas G, Becker, James T, Bigio, Eileen H, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, Bowen, James D, Boxer, Adam, Burke, James R, Cairns, Nigel J, Cao, Chuanhai, Carlson, Chris S, Carlsson, Cynthia M, Carney, Regina M, Carroll, Steven L, Chui, Helena C, Clark, David G, Corneveaux, Jason, Cribbs, David H, Crocco, Elizabeth A, De Jager, Philip L, DeCarli, Charles, DeKosky, Steven T, Demirci, F Yesim, Dick, Malcolm, Dickson, Dennis W, Doody, Rachelle S, Duara, Ranjan, Faber, Kelley M, Fairchild, Thomas J, Fallon, Kenneth B, Farlow, Martin R, Ferris, Steven, Frosch, Matthew P, Galasko, Douglas R, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Gilbert, John R, Glass, Jonathan D, Green, Robert C, and Growdon, John H

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Neurodegenerative, Genetics, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Acquired Cognitive Impairment, Aging, Human Genome, Prevention, Dementia, Alzheimer's Disease, Biotechnology, Brain Disorders, 2.1 Biological and endogenous factors, Adaptor Proteins, Signal Transducing, Alzheimer Disease, Apolipoprotein E4, GTPase-Activating Proteins, Genetic Predisposition to Disease, Genome-Wide Association Study, Heparin-binding EGF-like Growth Factor, Humans, Membrane Glycoproteins, Molecular Chaperones, NFI Transcription Factors, Peroxisomal Bifunctional Enzyme, Polymorphism, Single Nucleotide, Receptors, GABA, Alzheimer's Disease Genetics Consortium, APOE interaction, Alzheimer's disease, Genome-wide association, Transethnic, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionGenetic loci for Alzheimer's disease (AD) have been identified in whites of European ancestry, but the genetic architecture of AD among other populations is less understood.MethodsWe conducted a transethnic genome-wide association study (GWAS) for late-onset AD in Stage 1 sample including whites of European Ancestry, African-Americans, Japanese, and Israeli-Arabs assembled by the Alzheimer's Disease Genetics Consortium. Suggestive results from Stage 1 from novel loci were followed up using summarized results in the International Genomics Alzheimer's Project GWAS dataset.ResultsGenome-wide significant (GWS) associations in single-nucleotide polymorphism (SNP)-based tests (P

Published
2017

13. Evaluating the Potential of a Dual Randomized Kaczmarz Solver for Laplacian Linear Systems

Author

Boman, Erik G., Deweese, Kevin, and Gilbert, John R.

Subjects
Computer Science - Data Structures and Algorithms
Abstract

A new method for solving Laplacian linear systems proposed by Kelner et al. involves the random sampling and update of fundamental cycles in a graph. Kelner et al. proved asymptotic bounds on the complexity of this method but did not report experimental results. We seek to both evaluate the performance of this approach and to explore improvements to it in practice. We compare the performance of this method to other Laplacian solvers on a variety of real world graphs. We consider different ways to improve the performance of this method by exploring different ways of choosing the set of cycles and the sequence of updates, with the goal of providing more flexibility and potential parallelism. We propose a parallel model of the Kelner et al. method, for evaluating potential parallelism in terms of the span of edges updated at each iteration. We provide experimental results comparing the potential parallelism of the fundamental cycle basis and our extended cycle set. Our preliminary experiments show that choosing a non-fundamental set of cycles can save significant work compared to a fundamental cycle basis., Comment: increased font size in figures for readability, added weak scaling figures, improved citations to application areas, changed terminology slightly from network graphs to irregular graphs

Published
2015

14. ABCA7 frameshift deletion associated with Alzheimer disease in African Americans

Author

Cukier, Holly N, Kunkle, Brian W, Vardarajan, Badri N, Rolati, Sophie, Hamilton-Nelson, Kara L, Kohli, Martin A, Whitehead, Patrice L, Dombroski, Beth A, Van Booven, Derek, Lang, Rosalyn, Dykxhoorn, Derek M, Farrer, Lindsay A, Cuccaro, Michael L, Vance, Jeffery M, Gilbert, John R, Beecham, Gary W, Martin, Eden R, Carney, Regina M, Mayeux, Richard, Schellenberg, Gerard D, Byrd, Goldie S, Haines, Jonathan L, Pericak-Vance, Margaret A, Albert, Marilyn S, Albin, Roger L, Apostolova, Liana G, Arnold, Steven E, Asthana, Sanjay, Atwood, Craig S, Baldwin, Clinton T, Barmada, M Michael, Barnes, Lisa L, Barral, Sandra, Beach, Thomas G, Becker, James T, Beekly, Duane, Bennett, David A, Bigio, Eileen H, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, Boxer, Adam, Burke, James R, Burns, Jeffrey M, Buxbaum, Joseph D, Cai, Guiqing, Cairns, Nigel J, Cantwell, Laura B, Cao, Chuanhai, Carlsson, Cynthia M, Carrasquillo, Minerva M, Carroll, Steven L, Chui, Helena C, Clark, David G, Cribbs, David H, Crocco, Elizabeth A, Cruchaga, Carlos, De Jager, Philip L, DeCarli, Charles, Demirci, F Yesim, Dick, Malcolm, Dickson, Dennis W, Duara, Ranjan, Ertekin-Taner, Nilufer, Evans, Denis A, Faber, Kelley M, Fallin, M Daniele, Fallon, Kenneth B, Fardo, David W, Farlow, Martin R, Ferris, Steven, Foroud, Tatiana M, Frosch, Matthew P, Galasko, Douglas R, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Go, Rodney CP, Goate, Alison M, Graff-Radford, Neill R, Green, Robert C, Griffith, Patrick, Growdon, John H, Hakonarson, Hakon, Hamilton, Ronald L, Haroutunian, Vahram, Harrell, Lindy E, Honig, Lawrence S, Huebinger, Ryan M, Hulette, Christine M, Hyman, Bradley T, Jicha, Gregory A, and Jin, Lee-Way

Subjects
Biological Sciences, Genetics, Human Genome, Neurodegenerative, Neurosciences, Dementia, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Acquired Cognitive Impairment, Alzheimer's Disease, Clinical Research, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, Alzheimer's Disease Genetics Consortium, Clinical sciences
Abstract

ObjectiveTo identify a causative variant(s) that may contribute to Alzheimer disease (AD) in African Americans (AA) in the ATP-binding cassette, subfamily A (ABC1), member 7 (ABCA7) gene, a known risk factor for late-onset AD.MethodsCustom capture sequencing was performed on ∼150 kb encompassing ABCA7 in 40 AA cases and 37 AA controls carrying the AA risk allele (rs115550680). Association testing was performed for an ABCA7 deletion identified in large AA data sets (discovery n = 1,068; replication n = 1,749) and whole exome sequencing of Caribbean Hispanic (CH) AD families.ResultsA 44-base pair deletion (rs142076058) was identified in all 77 risk genotype carriers, which shows that the deletion is in high linkage disequilibrium with the risk allele. The deletion was assessed in a large data set (531 cases and 527 controls) and, after adjustments for age, sex, and APOE status, was significantly associated with disease (p = 0.0002, odds ratio [OR] = 2.13 [95% confidence interval (CI): 1.42-3.20]). An independent data set replicated the association (447 cases and 880 controls, p = 0.0117, OR = 1.65 [95% CI: 1.12-2.44]), and joint analysis increased the significance (p = 1.414 × 10(-5), OR = 1.81 [95% CI: 1.38-2.37]). The deletion is common in AA cases (15.2%) and AA controls (9.74%), but in only 0.12% of our non-Hispanic white cohort. Whole exome sequencing of multiplex, CH families identified the deletion cosegregating with disease in a large sibship. The deleted allele produces a stable, detectable RNA strand and is predicted to result in a frameshift mutation (p.Arg578Alafs) that could interfere with protein function.ConclusionsThis common ABCA7 deletion could represent an ethnic-specific pathogenic alteration in AD.

Published
2016

15. Assessment of the genetic variance of late-onset Alzheimer's disease

Author

Ridge, Perry G, Hoyt, Kaitlyn B, Boehme, Kevin, Mukherjee, Shubhabrata, Crane, Paul K, Haines, Jonathan L, Mayeux, Richard, Farrer, Lindsay A, Pericak-Vance, Margaret A, Schellenberg, Gerard D, Kauwe, John SK, Consortium, Alzheimer's Disease Genetics, Adams, Perrie M, Albert, Marilyn S, Albin, Roger L, Apostolova, Liana G, Arnold, Steven E, Asthana, Sanjay, Atwood, Craig S, Baldwin, Clinton T, Barber, Robert C, Barmada, Michael M, Barnes, Lisa L, Barral, Sandra, Beach, Thomas G, Becker, James T, Beecham, Gary W, Beekly, Duane, Bennett, David A, Bigio, Eileen H, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, Bowen, James D, Boxer, Adam, Burke, James R, Burns, Jeffrey M, Buxbaum, Joseph D, Cairns, Nigel J, Cantwell, Laura B, Cao, Chuanhai, Carlson, Chris S, Carlsson, Cynthia M, Carney, Regina M, Carrasquillo, Minerva M, Carroll, Steven L, Chui, Helena C, Clark, David G, Corneveaux, Jason, Cribbs, David H, Crocco, Elizabeth A, Cruchaga, Carlos, De Jager, Philip L, DeCarli, Charles, Demirci, F Yesim, Dick, Malcolm, Dickson, Dennis W, Doody, Rachelle S, Duara, Ranjan, Ertekin-Taner, Nilufer, Evans, Denis A, Faber, Kelley M, Fairchild, Thomas J, Fallon, Kenneth B, Fardo, David W, Farlow, Martin R, Ferris, Steven, Foroud, Tatiana M, Frosch, Matthew P, Galasko, Douglas R, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Gilbert, John R, Goate, Alison M, Graff-Radford, Neill R, Green, Robert C, Growdon, John H, Hakonarson, Hakon, Hamilton, Ronald L, Hamilton-Nelson, Kara L, Hardy, John, Harrell, Lindy E, Honig, Lawrence S, Huebinger, Ryan M, Huentelman, Matthew J, Hulette, Christine M, Hyman, Bradley T, Jarvik, Gail P, Jicha, Gregory A, Jin, Lee-Way, Jun, Gyungah, Kamboh, M Ilyas, Karydas, Anna, Katz, Mindy J, Kaye, Jeffrey A, Kim, Ronald, and Kowall, Neil W

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Neurodegenerative, Dementia, Alzheimer's Disease, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Genetics, Human Genome, Brain Disorders, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Neurological, Aged, Aged, 80 and over, Alzheimer Disease, Amyloid beta-Protein Precursor, Datasets as Topic, Female, Genetic Variation, Genome-Wide Association Study, Humans, Male, Membrane Glycoproteins, Netrin Receptors, Polymorphism, Single Nucleotide, Receptors, Cell Surface, Receptors, Immunologic, Risk, Alzheimer's Disease Genetics Consortium, Alzheimer's disease, Genetic variance, Clinical Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Alzheimer's disease (AD) is a complex genetic disorder with no effective treatments. More than 20 common markers have been identified, which are associated with AD. Recently, several rare variants have been identified in Amyloid Precursor Protein (APP), Triggering Receptor Expressed On Myeloid Cells 2 (TREM2) and Unc-5 Netrin Receptor C (UNC5C) that affect risk for AD. Despite the many successes, the genetic architecture of AD remains unsolved. We used Genome-wide Complex Trait Analysis to (1) estimate phenotypic variance explained by genetics; (2) calculate genetic variance explained by known AD single nucleotide polymorphisms (SNPs); and (3) identify the genomic locations of variation that explain the remaining unexplained genetic variance. In total, 53.24% of phenotypic variance is explained by genetics, but known AD SNPs only explain 30.62% of the genetic variance. Of the unexplained genetic variance, approximately 41% is explained by unknown SNPs in regions adjacent to known AD SNPs, and the remaining unexplained genetic variance outside these regions.

Published
2016

16. Parallel processing of filtered queries in attributed semantic graphs

Author

Lugowski, Adam, Kamil, Shoaib, Buluç, Aydın, Williams, Samuel, Duriakova, Erika, Oliker, Leonid, Fox, Armando, and Gilbert, John R

Subjects
Data Management and Data Science, Distributed Computing and Systems Software, Information and Computing Sciences, Networking and Information Technology R&D (NITRD), Graph analysis systems, Attributed semantic graphs, Graph filtering, Parallel computing, Knowledge discovery, Domain-specific languages, SEJITS, High-performance graph analysis, Computer Software, Distributed Computing, Distributed computing and systems software
Abstract

Execution of complex analytic queries on massive semantic graphs is a challenging problem in big-data analytics that requires high-performance parallel computing. In a semantic graph, vertices and edges carry attributes of various types and the analytic queries typically depend on the values of these attributes. Thus, the computation must view the graph through a filter that passes only those individual vertices and edges of interest. Previous investigations have developed Knowledge Discovery Toolbox (KDT), a sophisticated Python library for parallel graph computations. In KDT, the user can write custom graph algorithms by specifying operations between edges and vertices (semiring operations). The user can also customize existing graph algorithms by writing filters. Although the high-level language for this customization enables domain scientists to productively express their graph analytics requirements, the customized queries perform poorly due to the overhead of having to call into the Python virtual machine for each vertex and edge. In this work, we use the Selective Embedded Just-In-Time Specialization (SEJITS) approach to automatically translate semiring operations and filters defined by programmers into a lower-level efficiency language, bypassing the upcall into Python. We evaluate our approach by comparing it with the high-performance Combinatorial BLAS engine and show that our approach combines the benefits of programming in a high-level language with executing in a low-level parallel environment. We increase the system's flexibility by developing techniques that provide users with the ability to define new vertex and edge types from Python. We also present a new Roofline model for graph traversals and show that we achieve performance that is significantly closer to the bounds suggested by the Roofline. Finally, to further understand the complex interaction with the underlying architecture, we present an analysis using performance counters that quantifies the improvement in hardware behavior in the context our SEJITS methodology. Overall, we demonstrate the first known solution to the problem of obtaining high performance from a productivity language when applying graph algorithms selectively on semantic graphs with hundreds of millions of edges and scaling to thousands of processors for graphs.

Published
2015

17. Rarity of the Alzheimer Disease-Protective APP A673T Variant in the United States

Author

Wang, Li-San, Naj, Adam C, Graham, Robert R, Crane, Paul K, Kunkle, Brian W, Cruchaga, Carlos, Murcia, Josue D. Gonzalez, Cannon-Albright, Lisa, Baldwin, Clinton T, Zetterberg, Henrik, Blennow, Kaj, Kukull, Walter A, Faber, Kelley M, Schupf, Nicole, Norton, Maria C, Tschanz, JoAnn T, Munger, Ronald G, Corcoran, Christopher D, Rogaeva, Ekaterina, Lin, Chiao-Feng, Dombroski, Beth A, Cantwell, Laura B, Partch, Amanda, Valladares, Otto, Hakonarson, Hakon, St George-Hyslop, Peter, Green, Robert C, Goate, Alison M, Foroud, Tatiana M, Carney, Regina M, Larson, Eric B, Behrens, Timothy W, Kauwe, John S. K, Haines, Jonathan L, Farrer, Lindsay A, Pericak-Vance, Margaret A, Mayeux, Richard, Schellenberg, Gerard D, Albert, Marilyn S, Albin, Roger L, Apostolova, Liana G, Arnold, Steven E, Barber, Robert, Barmada, M. Michael, Barnes, Lisa L, Beach, Thomas G, Becker, James T, Beecham, Gary W, Beekly, Duane, Bennett, David A, Bigio, Eileen H, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, Bowen, James D, Boxer, Adam, Burke, James R, Buxbaum, Joseph D, Cairns, Nigel J, Cao, Chuanhai, Carlson, Chris S, Carroll, Steven L, Chui, Helena C, Clark, David G, Cribbs, David H, Crocco, Elizabeth A, DeCarli, Charles, DeKosky, Steven T, Demirci, F. Yesim, Dick, Malcolm, Dickson, Dennis W, Duara, Ranjan, Ertekin-Taner, Nilufer, Fallon, Kenneth B, Farlow, Martin R, Ferris, Steven, Frosch, Matthew P, Galasko, Douglas R, Ganguli, Mary, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Gilbert, John R, Glass, Jonathan D, Graff-Radford, Neill R, Growdon, John H, Hamilton, Ronald L, Hamilton-Nelson, Kara L, Harrell, Lindy E, Head, Elizabeth, Honig, Lawrence S, Hulette, Christine M, Hyman, Bradley T, Jarvik, Gail P, Jicha, Gregory A, Jin, Lee-Way, Jun, Gyungah, Kamboh, M. Ilyas, Karydas, Anna, and Kaye, Jeffrey A

Published
2015

18. Highly Parallel Sparse Matrix-Matrix Multiplication

Author

Buluç, Aydın and Gilbert, John R.

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Mathematical Software, Computer Science - Numerical Analysis, Computer Science - Performance
Abstract

Generalized sparse matrix-matrix multiplication is a key primitive for many high performance graph algorithms as well as some linear solvers such as multigrid. We present the first parallel algorithms that achieve increasing speedups for an unbounded number of processors. Our algorithms are based on two-dimensional block distribution of sparse matrices where serial sections use a novel hypersparse kernel for scalability. We give a state-of-the-art MPI implementation of one of our algorithms. Our experiments show scaling up to thousands of processors on a variety of test scenarios.

Published
2010

19. Effects of Multiple Genetic Loci on Age at Onset in Late-Onset Alzheimer Disease

Author

Naj, Adam C, Jun, Gyungah, Reitz, Christiane, Kunkle, Brian W, Perry, William, Park, Yo Son, Beecham, Gary W, Rajbhandary, Ruchita A, Hamilton-Nelson, Kara L, Wang, Li-San, Kauwe, John S. K, Huentelman, Matthew J, Myers, Amanda J, Bird, Thomas D, Boeve, Bradley F, Baldwin, Clinton T, Jarvik, Gail P, Crane, Paul K, Rogaeva, Ekaterina, Barmada, M. Michael, Demirci, F. Yesim, Cruchaga, Carlos, Kramer, Patricia L, Ertekin-Taner, Nilufer, Hardy, John, Graff-Radford, Neill R, Green, Robert C, Larson, Eric B, St. George-Hyslop, Peter H, Buxbaum, Joseph D, Evans, Denis A, Schneider, Julie A, Lunetta, Kathryn L, Kamboh, M. Ilyas, Saykin, Andrew J, Reiman, Eric M, De Jager, Philip L, Bennett, David A, Morris, John C, Montine, Thomas J, Goate, Alison M, Blacker, Deborah, Tsuang, Debby W, Hakonarson, Hakon, Kukull, Walter A, Foroud, Tatiana M, Martin, Eden R, Haines, Jonathan L, Mayeux, Richard P, Farrer, Lindsay A, Schellenberg, Gerard D, Pericak-Vance, Margaret A, Albert, Marilyn S, Albin, Roger L, Apostolova, Liana G, Arnold, Steven E, Barber, Robert, Barnes, Lisa L, Beach, Thomas G, Becker, James T, Beekly, Duane, Bigio, Eileen H, Bowen, James D, Boxer, Adam, Burke, James R, Cairns, Nigel J, Cantwell, Laura B, Cao, Chuanhai, Carlson, Chris S, Carney, Regina M, Carrasquillo, Minerva M, Carroll, Steven L, Chui, Helena C, Clark, David G, Corneveaux, Jason, Cribbs, David H, Crocco, Elizabeth A, DeCarli, Charles, DeKosky, Steven T, Dick, Malcolm, Dickson, Dennis W, Duara, Ranjan, Faber, Kelley M, Fallon, Kenneth B, Farlow, Martin R, Ferris, Steven, Frosch, Matthew P, Galasko, Douglas R, Ganguli, Mary, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Gilbert, John R, Glass, Jonathan D, Growdon, John H, Hamilton, Ronald L, Harrell, Lindy E, Head, Elizabeth, Honig, Lawrence S, and Hulette, Christine M

Published
2014

20. C9ORF72 intermediate repeat copies are a significant risk factor for Parkinson disease.

Author

Nuytemans, Karen, Bademci, Güney, Kohli, Martin M, Beecham, Gary W, Wang, Liyong, Young, Juan I, Nahab, Fatta, Martin, Eden R, Gilbert, John R, Benatar, Michael, Haines, Jonathan L, Scott, William K, Züchner, Stephan, Pericak-Vance, Margaret A, and Vance, Jeffery M

Subjects
Humans, Parkinson Disease, Genetic Predisposition to Disease, Proteins, Risk Factors, Case-Control Studies, Pedigree, Repetitive Sequences, Nucleic Acid, Genotype, Gene Dosage, Phenotype, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Young Adult, C9ORF72 repeat, Parkinson disease, association, risk factor, C9orf72 Protein, Genetics & Heredity, Clinical Sciences
Abstract

We set out to determine whether expansions in the C9ORF72 repeat found in amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) families are associated with Parkinson disease (PD). We determined the repeat size in a total of 889 clinically ascertained patients (including PD and essential tremor plus Parkinsonism (ETP)) and 1144 controls using a repeat-primed PCR assay. We found that large C9ORF72 repeat expansions (>30 repeats) were not contributing to PD risk. However, PD and ETP cases had a significant increase in intermediate (>20 to 30+) repeat copies compared to controls. Overall, 14 cases (13 PD, 1 ETP) and three controls had >20 repeat copies (Fisher's exact test p = 0.002). Further, seven cases and no controls had >23 repeat copies (p = 0.003). Our results suggest that intermediate copy numbers of the C9ORF72 repeat contribute to risk for PD and ETP. This also suggests that PD, ALS and FTD share some pathophysiological mechanisms of disease. Further studies are needed to elucidate the contribution of the C9ORF72 repeat in the overall PD population and to determine whether other common genetic risk factors exist between these neurodegenerative disorders.

Published
2013

21. High-Productivity and High-Performance Analysis of Filtered Semantic Graphs

Author

Buluc, Aydin, Duriakova, Erika, Fox, Armando, Gilbert, John R, Kamil, Shoaib, Lugowski, Adam, Oliker, Leonid, and Williams, Samuel

Abstract

High performance is a crucial consideration when executing a complex analytic query on a massive semantic graph. In a semantic graph, vertices and edges carry attributes of various types. Analytic queries on semantic graphs typically depend on the values of these attributes, thus, the computation must view the graph through a filter that passes only those individual vertices and edges of interest. Knowledge Discovery Toolbox (KDT), a Python library for parallel graph computations, is customizable in two ways. First, the user can write custom graph algorithms by specifying operations between edges and vertices. These programmer-specified operations are called semiring operations due to KDT's underlying linear-algebraic abstractions. Second, the user can customize existing graph algorithms by writing filters that return true for those vertices and edges the user wants to retain during algorithm execution. For high productivity, both semiring operations and filters are written in a high-level language, resulting in relatively low performance due to the bottleneck of having to call into the Python virtual machine for each vertex and edge. In this work, we use the Selective Embedded JIT Specialization (SEJITS) approach to automatically translate semiring operations and filters defined by programmers into a lower-level efficiency language, bypassing the up call into Python. We evaluate our approach by comparing it with the high-performance Combinatorial BLAS engine, and show our approach enables users to write in high-level languages and still obtain the high performance of low-level code. We also present a new roofline model for graph traversals, and show that our high-performance implementations do not significantly deviate from the roofline. Overall, we demonstrate the first known solution to the problem of obtaining high performance from a productivity language when applying graph algorithms selectively on semantic graphs. © 2013 IEEE.

Published
2013

22. KIAA1462, a coronary artery disease associated gene, is a candidate gene for late onset Alzheimer disease in APOE carriers.

Author

Murdock, Deborah G, Bradford, Yuki, Schnetz-Boutaud, Nathalie, Mayo, Ping, Allen, Melissa J, D'Aoust, Laura N, Liang, Xueying, Mitchell, Sabrina L, Zuchner, Stephan, Small, Gary W, Gilbert, John R, Pericak-Vance, Margaret A, and Haines, Jonathan L

Subjects
Brain, Chromosomes, Human, Pair 10, Humans, Alzheimer Disease, Genetic Predisposition to Disease, Cell Adhesion Molecules, RNA, Gene Expression Regulation, Heterozygote, Linkage Disequilibrium, Lod Score, Polymorphism, Single Nucleotide, Alleles, Genome, Human, Introns, Exons, Databases, Genetic, Female, Male, Apolipoprotein E4, Coronary Artery Disease, Genetic Loci, Genetic Association Studies, Real-Time Polymerase Chain Reaction, General Science & Technology
Abstract

Alzheimer disease (AD) is a devastating neurodegenerative disease affecting more than five million Americans. In this study, we have used updated genetic linkage data from chromosome 10 in combination with expression data from serial analysis of gene expression to choose a new set of thirteen candidate genes for genetic analysis in late onset Alzheimer disease (LOAD). Results in this study identify the KIAA1462 locus as a candidate locus for LOAD in APOE4 carriers. Two genes exist at this locus, KIAA1462, a gene associated with coronary artery disease, and "rokimi", encoding an untranslated spliced RNA The genetic architecture at this locus suggests that the gene product important in this association is either "rokimi", or a different isoform of KIAA1462 than the isoform that is important in cardiovascular disease. Expression data suggests that isoform f of KIAA1462 is a more attractive candidate for association with LOAD in APOE4 carriers than "rokimi" which had no detectable expression in brain.

Published
2013

23. High-performance analysis of filtered semantic graphs

Author

Buluç, Aydin, Fox, Armando, Gilbert, John R, Kamil, Shoaib A, Lugowski, Adam, Oliker, Leonid, and Williams, Samuel W

Subjects
Data Management and Data Science, Information and Computing Sciences, Networking and Information Technology R&D (NITRD), Domain Specific Languages, Graph Analysis, SEJITS, KDT, High-performance computing
Abstract

High performance is a crucial consideration when executing a complex analytic query on a massive semantic graph. In a semantic graph, vertices and edges carry \attributes" of various types. Analytic queries on semantic graphs typically depend on the values of these attributes; thus, the computation must either view the graph through a filter that passes only those individual vertices and edges of interest, or else must first materialize a subgraph or subgraphs consisting of only the vertices and edges of interest. The filtered approach is superior due to its generality, ease of use, and memory efficiency, but may carry a performance cost. In the Knowledge Discovery Toolbox (KDT), a Python library for parallel graph computations, the user writes filters in a high-level language, but those filters result in relatively low performance due to the bottleneck of having to call into the Python interpreter for each edge. In this work, we use the Selective Embedded JIT Specialization (SEJITS) approach to automatically translate filters defined by programmers into a lower-level efficiency language, bypassing the upcall into Python. We evaluate our approach by comparing it with the high-performance C++ /MPI Combinatorial BLAS engine, and show that the productivity gained by using a high-level filtering language comes without sacrificing performance. Copyright © 2012 by the Association for Computing Machinery, Inc. (ACM).

Published
2012

24. Novel late-onset Alzheimer disease loci variants associate with brain gene expression.

Author

Allen, Mariet, Zou, Fanggeng, Chai, High Seng, Younkin, Curtis S, Crook, Julia, Pankratz, V Shane, Carrasquillo, Minerva M, Rowley, Christopher N, Nair, Asha A, Middha, Sumit, Maharjan, Sooraj, Nguyen, Thuy, Ma, Li, Malphrus, Kimberly G, Palusak, Ryan, Lincoln, Sarah, Bisceglio, Gina, Georgescu, Constantin, Schultz, Debra, Rakhshan, Fariborz, Kolbert, Christopher P, Jen, Jin, Haines, Jonathan L, Mayeux, Richard, Pericak-Vance, Margaret A, Farrer, Lindsay A, Schellenberg, Gerard D, Petersen, Ronald C, Graff-Radford, Neill R, Dickson, Dennis W, Younkin, Steven G, Ertekin-Taner, Nilüfer, Alzheimer's Disease Genetics Consortium (ADGC), Apostolova, Liana G, Arnold, Steven E, Baldwin, Clinton T, Barber, Robert, Barmada, Michael M, Beach, Thomas, Beecham, Gary W, Beekly, Duane, Bennett, David A, Bigio, Eileen H, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, Bowen, James D, Boxer, Adam, Burke, James R, Buros, Jacqueline, Buxbaum, Joseph D, Cairns, Nigel J, Cantwell, Laura B, Cao, Chuanhai, Carlson, Chris S, Carney, Regina M, Carroll, Steven L, Chui, Helena C, Clark, David G, Corneveaux, Jason, Cotman, Carl W, Crane, Paul K, Cruchaga, Carlos, Cummings, Jeffrey L, De Jager, Philip L, DeCarli, Charles, DeKosky, Steven T, Demirci, F Yesim, Diaz-Arrastia, Ramon, Dick, Malcolm, Dombroski, Beth A, Duara, Ranjan, Ellis, William D, Evans, Denis, Faber, Kelley M, Fallon, Kenneth B, Farlow, Martin R, Ferris, Steven, Foroud, Tatiana M, Frosch, Matthew, Galasko, Douglas R, Gallins, Paul J, Ganguli, Mary, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Gilbert, John R, Gilman, Sid, Giordani, Bruno, Glass, Jonathan D, Goate, Alison M, Green, Robert C, Growdon, John H, Hakonarson, Hakon, Hamilton, Ronald L, Hardy, John, Harrell, Lindy E, Head, Elizabeth, Honig, Lawrence S, and Huentelman, Matthew J

Subjects
Alzheimer's Disease Genetics Consortium, Temporal Lobe, Humans, Alzheimer Disease, Genetic Predisposition to Disease, RNA, Autopsy, Linear Models, Risk Factors, Gene Expression, Brain Chemistry, Genotype, Gene Dosage, Polymorphism, Single Nucleotide, Alleles, Aged, Female, Male, Apolipoprotein E4, Clinical Research, Alzheimer's Disease, Aging, Acquired Cognitive Impairment, Human Genome, Neurosciences, Dementia, Neurodegenerative, Genetics, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aetiology, 2.1 Biological and endogenous factors, Neurological, Clinical Sciences, Cognitive Sciences, Neurology & Neurosurgery
Abstract

ObjectiveRecent genome-wide association studies (GWAS) of late-onset Alzheimer disease (LOAD) identified 9 novel risk loci. Discovery of functional variants within genes at these loci is required to confirm their role in Alzheimer disease (AD). Single nucleotide polymorphisms that influence gene expression (eSNPs) constitute an important class of functional variants. We therefore investigated the influence of the novel LOAD risk loci on human brain gene expression.MethodsWe measured gene expression levels in the cerebellum and temporal cortex of autopsied AD subjects and those with other brain pathologies (∼400 total subjects). To determine whether any of the novel LOAD risk variants are eSNPs, we tested their cis-association with expression of 6 nearby LOAD candidate genes detectable in human brain (ABCA7, BIN1, CLU, MS4A4A, MS4A6A, PICALM) and an additional 13 genes ±100 kb of these SNPs. To identify additional eSNPs that influence brain gene expression levels of the novel candidate LOAD genes, we identified SNPs ±100 kb of their location and tested for cis-associations.ResultsCLU rs11136000 (p = 7.81 × 10(-4)) and MS4A4A rs2304933/rs2304935 (p = 1.48 × 10(-4)-1.86 × 10(-4)) significantly influence temporal cortex expression levels of these genes. The LOAD-protective CLU and risky MS4A4A locus alleles associate with higher brain levels of these genes. There are other cis-variants that significantly influence brain expression of CLU and ABCA7 (p = 4.01 × 10(-5)-9.09 × 10(-9)), some of which also associate with AD risk (p = 2.64 × 10(-2)-6.25 × 10(-5)).ConclusionsCLU and MS4A4A eSNPs may at least partly explain the LOAD risk association at these loci. CLU and ABCA7 may harbor additional strong eSNPs. These results have implications in the search for functional variants at the novel LOAD risk loci.

Published
2012

25. Neural Tube Defects and Folate Pathway Genes: Family-Based Association Tests of Gene-Gene and Gene-Environment Interactions

Author

Boyles, Abee L., Billups, Ashley V., Deak, Kristen L., Siegel, Deborah G., Mehltretter, Lorraine, Slifer, Susan H., Bassuk, Alexander G., Kessler, John A., Reed, Michael C., Nijhout, H. Frederik, George, Timothy M., Enterline, David S., Gilbert, John R., Speer, Marcy C., Aben, J., Aylsworth, A., Bodurtha, J., Brei, T., Buran, C., Iskandar, B., Ito, J., Lasarsky, N., Mack, P., Meeropol, E., Mackey, J., McLone, D., Oakes, W. J., Powell, C., Sawin, K., Walker, M., and Worley, G.

Published
2006

26. Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease

Author

Naj, Adam C, Jun, Gyungah, Beecham, Gary W, Wang, Li-San, Vardarajan, Badri Narayan, Buros, Jacqueline, Gallins, Paul J, Buxbaum, Joseph D, Jarvik, Gail P, Crane, Paul K, Larson, Eric B, Bird, Thomas D, Boeve, Bradley F, Graff-Radford, Neill R, De Jager, Philip L, Evans, Denis, Schneider, Julie A, Carrasquillo, Minerva M, Ertekin-Taner, Nilufer, Younkin, Steven G, Cruchaga, Carlos, Kauwe, John SK, Nowotny, Petra, Kramer, Patricia, Hardy, John, Huentelman, Matthew J, Myers, Amanda J, Barmada, Michael M, Demirci, F Yesim, Baldwin, Clinton T, Green, Robert C, Rogaeva, Ekaterina, George-Hyslop, Peter St, Arnold, Steven E, Barber, Robert, Beach, Thomas, Bigio, Eileen H, Bowen, James D, Boxer, Adam, Burke, James R, Cairns, Nigel J, Carlson, Chris S, Carney, Regina M, Carroll, Steven L, Chui, Helena C, Clark, David G, Corneveaux, Jason, Cotman, Carl W, Cummings, Jeffrey L, DeCarli, Charles, DeKosky, Steven T, Diaz-Arrastia, Ramon, Dick, Malcolm, Dickson, Dennis W, Ellis, William G, Faber, Kelley M, Fallon, Kenneth B, Farlow, Martin R, Ferris, Steven, Frosch, Matthew P, Galasko, Douglas R, Ganguli, Mary, Gearing, Marla, Geschwind, Daniel H, Ghetti, Bernardino, Gilbert, John R, Gilman, Sid, Giordani, Bruno, Glass, Jonathan D, Growdon, John H, Hamilton, Ronald L, Harrell, Lindy E, Head, Elizabeth, Honig, Lawrence S, Hulette, Christine M, Hyman, Bradley T, Jicha, Gregory A, Jin, Lee-Way, Johnson, Nancy, Karlawish, Jason, Karydas, Anna, Kaye, Jeffrey A, Kim, Ronald, Koo, Edward H, Kowall, Neil W, Lah, James J, Levey, Allan I, Lieberman, Andrew P, Lopez, Oscar L, Mack, Wendy J, Marson, Daniel C, Martiniuk, Frank, Mash, Deborah C, Masliah, Eliezer, McCormick, Wayne C, McCurry, Susan M, McDavid, Andrew N, McKee, Ann C, Mesulam, Marsel, and Miller, Bruce L

Subjects
Biological Sciences, Genetics, Dementia, Neurodegenerative, Acquired Cognitive Impairment, Alzheimer's Disease, Human Genome, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Brain Disorders, Aging, 2.1 Biological and endogenous factors, Neurological, Adaptor Proteins, Signal Transducing, Age of Onset, Aged, Aged, 80 and over, Alzheimer Disease, Antigens, CD, Antigens, Differentiation, Myelomonocytic, Cohort Studies, Cytoskeletal Proteins, Databases, Genetic, Female, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Membrane Proteins, Multigene Family, Polymorphism, Single Nucleotide, Receptor, EphA1, Sialic Acid Binding Ig-like Lectin 3, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

The Alzheimer Disease Genetics Consortium (ADGC) performed a genome-wide association study of late-onset Alzheimer disease using a three-stage design consisting of a discovery stage (stage 1) and two replication stages (stages 2 and 3). Both joint analysis and meta-analysis approaches were used. We obtained genome-wide significant results at MS4A4A (rs4938933; stages 1 and 2, meta-analysis P (P(M)) = 1.7 × 10(-9), joint analysis P (P(J)) = 1.7 × 10(-9); stages 1, 2 and 3, P(M) = 8.2 × 10(-12)), CD2AP (rs9349407; stages 1, 2 and 3, P(M) = 8.6 × 10(-9)), EPHA1 (rs11767557; stages 1, 2 and 3, P(M) = 6.0 × 10(-10)) and CD33 (rs3865444; stages 1, 2 and 3, P(M) = 1.6 × 10(-9)). We also replicated previous associations at CR1 (rs6701713; P(M) = 4.6 × 10(-10), P(J) = 5.2 × 10(-11)), CLU (rs1532278; P(M) = 8.3 × 10(-8), P(J) = 1.9 × 10(-8)), BIN1 (rs7561528; P(M) = 4.0 × 10(-14), P(J) = 5.2 × 10(-14)) and PICALM (rs561655; P(M) = 7.0 × 10(-11), P(J) = 1.0 × 10(-10)), but not at EXOC3L2, to late-onset Alzheimer's disease susceptibility.

Published
2011

27. LATE-NC risk alleles (in TMEM106B, GRN, and ABCC9 genes) among persons with African ancestry

Author

Katsumata, Yuriko, primary, Fardo, David W, additional, Shade, Lincoln M P, additional, Bowen, James D, additional, Crane, Paul K, additional, Jarvik, Gail P, additional, Keene, C Dirk, additional, Larson, Eric B, additional, McCormick, Wayne C, additional, McCurry, Susan M, additional, Mukherjee, Shubhabrata, additional, Kowall, Neil W, additional, McKee, Ann C, additional, Honig, Robert A, additional, Lawrence, S, additional, Vonsattel, Jean Paul, additional, Williamson, Jennifer, additional, Small, Scott, additional, Burke, James R, additional, Hulette, Christine M, additional, Welsh-Bohmer, Kathleen A, additional, Gearing, Marla, additional, Lah, James J, additional, Levey, Allan I, additional, Wingo, Thomas S, additional, Apostolova, Liana G, additional, Farlow, Martin R, additional, Ghetti, Bernardino, additional, Saykin, Andrew J, additional, Spina, Salvatore, additional, Albert, Marilyn S, additional, Lyketsos, Constantine G, additional, Troncoso, Juan C, additional, Frosch, Matthew P, additional, Green, Robert C, additional, Growdon, John H, additional, Hyman, Bradley T, additional, Tanzi, Rudolph E, additional, Potter, Huntington, additional, Dickson, Dennis W, additional, Ertekin-Taner, Nilufer, additional, Graff-Radford, Neill R, additional, Parisi, Joseph E, additional, Petersen, Ronald C, additional, Duara, Ranjan, additional, Buxbaum, Joseph D, additional, Goate, Alison M, additional, Sano, Mary, additional, Masurkar, Arjun V, additional, Wisniewski, Thomas, additional, Bigio, Eileen H, additional, Mesulam, Marsel, additional, Weintraub, Sandra, additional, Vassar, Robert, additional, Kaye, Jeffrey A, additional, Quinn, Joseph F, additional, Woltjer, Randall L, additional, Barnes, Lisa L, additional, Bennett, David A, additional, Schneider, Julie A, additional, Yu, Lei, additional, Henderson, Victor, additional, Fallon, Kenneth B, additional, Harrell, Lindy E, additional, Marson, Daniel C, additional, Roberson, Erik D, additional, DeCarli, Charles, additional, Jin, Lee-Way, additional, Olichney, John M, additional, Kim, Ronald, additional, LaFerla, Frank M, additional, Monuki, Edwin, additional, Head, Elizabeth, additional, Sultzer, David, additional, Geschwind, Daniel H, additional, Vinters, Harry V, additional, Chesselet, Marie-Francoise, additional, Galasko, Douglas R, additional, Brewer, James B, additional, Boxer, Adam, additional, Karydas, Anna, additional, Kramer, Joel H, additional, Miller, Bruce L, additional, Rosen, Howard J, additional, Seeley, William W, additional, Burns, Jeffrey M, additional, Swerdlow, Russell H, additional, Abner, Erin, additional, Van Eldik, Linda J, additional, Albin, Roger L, additional, Lieberman, Andrew P, additional, Paulson, Henry L, additional, Arnold, Steven E, additional, Trojanowski, John Q, additional, Van Deerlin, Vivianna M, additional, Hamilton, Ronald L, additional, Kamboh, M Ilyas, additional, Lopez, Oscar L, additional, Becker, James T, additional, Cao, Chuanhai, additional, Raj, Ashok, additional, Smith, Amanda G, additional, Chui, Helena C, additional, Miller, Carol A, additional, Ringman, John M, additional, Schneider, Lon S, additional, Bird, Thomas D, additional, Sonnen, Joshua A, additional, Yu, Chang-En, additional, Grabowski, Thomas, additional, Peskind, Elaine, additional, Raskind, Murray, additional, Li, Ge, additional, Tsuang, Debby W, additional, Asthana, Sanjay, additional, Atwood, Craig S, additional, Carlsson, Cynthia M, additional, Sager, Mark A, additional, Chin, Nathaniel A, additional, Craft, Suzanne, additional, Cairns, Nigel J, additional, Morris, John C, additional, Cruchaga, Carlos, additional, Strittmatter, Stephen, additional, Reiman, Eric M, additional, Beach, Thomas G, additional, Huentelman, Matthew J, additional, Hardy, John, additional, Myers, Amanda J, additional, Kauwe, John S K, additional, Hakonarson, Hakon, additional, Blacker, Deborah, additional, Montine, Thomas J, additional, Baldwin, Clinton T, additional, Farrer, Lindsay A, additional, Jun, Gyungah, additional, Lunetta, Kathryn L, additional, Bush, William S, additional, Haines, Jonathan L, additional, Lerner, Alan J, additional, Zhou, Xiongwei, additional, Barral, Sandra, additional, Reitz, Christiane, additional, Vardarajan, Badri N, additional, Mayeux, Richard, additional, Beecham, Gary W, additional, Carney, Regina M, additional, Cuccaro, Michael L, additional, Gilbert, John R, additional, Hamilton-Nelson, Kara L, additional, Kunkle, Brian W, additional, Martin, Eden R, additional, Pericak-Vance, Margaret A, additional, Vance, Jeffery M, additional, Cantwell, Laura B, additional, Kuzma, Amanda P, additional, Malamon, John, additional, Naj, Adam C, additional, Qu, Liming, additional, Schellenberg, Gerard D, additional, Valladares, Otto, additional, Wang, Li-San, additional, Zhao, Yi, additional, Leverenz, James B, additional, De Jager, Philip L, additional, Evans, Denis A, additional, Katz, Mindy J, additional, Lipton, Richard B, additional, Boeve, Bradley F, additional, Allen, Mariet, additional, Carrasquillo, Minerva M, additional, Younkin, Steven G, additional, Kukull, Walter A, additional, Faber, Kelley M, additional, Foroud, Tatiana M, additional, Pavlik, Valory, additional, Massman, Paul, additional, Darby, Eveleen, additional, Rodriguear, Monica, additional, Khaleeq, Aisha, additional, Royall, Donald R, additional, Stevens, Alan, additional, Ory, Marcia, additional, DeToledo, John C, additional, Wilms, Henrick, additional, Johnson, Kim, additional, Perez, Victoria, additional, Hernandez, Michelle, additional, Wilhelmsen, Kirk C, additional, Tilson, Jeffrey, additional, Chasse, Scott, additional, Barber, Robert C, additional, Fairchild, Thomas J, additional, O’Bryant, Sid E, additional, Knebl, Janice, additional, Hall, James R, additional, Johnson, Leigh, additional, Mains, Douglas, additional, Alvarez, Lisa, additional, Gamboa, Adriana, additional, Paydarfar, David, additional, Bertelson, John, additional, Woon, Martin, additional, Ayres, Gayle, additional, Aguirre, Alyssa, additional, Palmer, Raymond, additional, Polk, Marsha, additional, Adams, Perrie M, additional, Huebinger, Ryan M, additional, Reisch, Joan S, additional, Rosenberg, Roger N, additional, Cullum, Munro, additional, Williams, Benjamin, additional, Quiceno, Mary, additional, Hynan, Linda, additional, Smith, Janet, additional, Davis, Barb, additional, Nguyen, Trung, additional, Rogaeva, Ekaterina, additional, George-Hyslop, Peter St, additional, and Nelson, Peter T, additional

Published
2023
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28. Transethnic genome-wide scan identifies novel Alzheimer's disease loci

Author

Adams, Perrie M., Albert, Marilyn S., Albin, Roger L., Apostolova, Liana G., Arnold, Steven E., Asthana, Sanjay, Atwood, Craig S., Barmada, Michjael M., Barnes, Lisa L., Beach, Thomas G., Becker, James T., Bigio, Eileen H., Bird, Thomas D., Blacker, Deborah, Boeve, Bradley F., Bowen, James D., Boxer, Adam, Burke, James R., Cairns, Nigel J., Cao, Chuanhai, Carlson, Chris S., Carlsson, Cynthia M., Carney, Regina M., Carrasquillo, Minerva M., Carroll, Steven L., Chui, Helena C., Clark, David G., Corneveaux, Jason, Cribbs, David H., Crocco, Elizabeth A., Cruchaga, Carlos, De Jager, Philip L., DeCarli, Charles, DeKosky, Steven T., Demirci, F. Yesim, Dick, Malcolm, Dickson, Dennis W., Doody, Rachelle S., Duara, Ranjan, Ertekin-Taner, Nilufer, Faber, Kelley M., Fairchild, Thomas J., Fallon, Kenneth B., Farlow, Martin R., Ferris, Steven, Frosch, Matthew P., Galasko, Douglas R., Gearing, Marla, Geschwind, Daniel H., Ghetti, Bernardino, Gilbert, John R., Glass, Jonathan D., Graff-Radford, Neill R., Green, Robert C., Growdon, John H., Hakonarson, Hakon, Hamilton, Ronald L., Hardy, John, Harrell, Lindy E., Head, Elizabeth, Honig, Lawrence S., Huebinger, Ryan M., Huentelman, Matthew J., Hulette, Christine M., Hyman, Bradley T., Jarvik, Gail P., Jicha, Gregory A., Jin, Lee-Way, Karydas, Anna, Kauwe, John S.K., Kaye, Jeffrey A., Kim, Ronald, Koo, Edward H., Kowall, Neil W., Kramer, Joel H., LaFerla, Frank M., Lah, James J., Leverenz, James B., Levey, Allan I., Li, Ge, Lieberman, Andrew P., Lin, Chiao-Feng, Lopez, Oscar L., Lyketsos, Constantine G., Mack, Wendy J., Marson, Daniel C., Martiniuk, Frank, Mash, Deborah C., Masliah, Eliezer, McCormick, Wayne C., McCurry, Susan M., McDavid, Andrew N., McKee, Ann C., Mesulam, Marsel, Miller, Bruce L., Miller, Carol A., Miller, Joshua W., Morris, John C., Mukherjee, Shubhabrata, Murrell, Jill R., Myers, Amanda J., O'Bryant, Sid, Olichney, John M., Pankratz, Vernon S., Parisi, Joseph E., Partch, Amanda, Paulson, Henry L., Perry, William, Peskind, Elaine, Petersen, Ronald C., Pierce, Aimee, Poon, Wayne W., Potter, Huntington, Quinn, Joseph F., Raj, Ashok, Raskind, Murray, Reisberg, Barry, Reisch, Joan S., Reitz, Christiane, Ringman, John M., Roberson, Erik D., Rogaeva, Ekaterina, Rosen, Howard J., Rosenberg, Roger N., Royall, Donald R., Sager, Mark A., Sano, Mary, Saykin, Andrew J., Schneider, Julie A., Schneider, Lon S., Seeley, William W., Smith, Amanda G., Sonnen, Joshua A., Spina, Salvatore, Stern, Robert A., Tanzi, Rudolph E., Thornton-Wells, Tricia A., Trojanowski, John Q., Troncoso, Juan C., Tsuang, Debby W., Van Deerlin, Vivianna M., Van Eldik, Linda J., Vardarajan, Badri N., Vinters, Harry V., Vonsattel, Jean Paul, Weintraub, Sandra, Welsh-Bohmer, Kathleen A., Williamson, Jennifer, Wishnek, Sarah, Woltjer, Randall L., Wright, Clinton B., Wu, Chuang-Kuo, Yu, Chang-En, Yu, Lei, Zhang, Xiaoling, Jun, Gyungah R., Chung, Jaeyoon, Mez, Jesse, Barber, Robert, Beecham, Gary W., Bennett, David A., Buxbaum, Joseph D., Byrd, Goldie S., Crane, Paul K., De Jager, Philip, Evans, Denis, Fallin, M. Danielle, Foroud, Tatiana M., Friedland, Robert P., Goate, Alison M., Hendrie, Hugh, Hall, Kathleen S., Hamilton-Nelson, Kara L., Inzelberg, Rivka, Kamboh, M. Ilyas, Kukull, Walter A., Kunkle, Brian W., Kuwano, Ryozo, Larson, Eric B., Logue, Mark W., Manly, Jennifer J., Martin, Eden R., Montine, Thomas J., Naj, Adam, Reiman, Eric M., Sherva, Richard, St. George-Hyslop, Peter H., Thornton, Timothy, Younkin, Steven G., Wang, Li-San, Wendlund, Jens R., Winslow, Ashley R., Haines, Jonathan, Mayeux, Richard, Pericak-Vance, Margaret A., Schellenberg, Gerard, Lunetta, Kathryn L., and Farrer, Lindsay A.

Published
2017
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29. Mapping autism risk loci using genetic linkage and chromosomal rearrangements

Author

Szatmari, Peter, Paterson, Andrew D, Zwaigenbaum, Lonnie, Roberts, Wendy, Brian, Jessica, Liu, Xiao-Qing, Vincent, John B, Skaug, Jennifer L, Thompson, Ann P, Senman, Lili, Feuk, Lars, Qian, Cheng, Bryson, Susan E, Jones, Marshall B, Marshall, Christian R, Scherer, Stephen W, Vieland, Veronica J, Bartlett, Christopher, Mangin, La Vonne, Goedken, Rhinda, Segre, Alberto, Pericak-Vance, Margaret A, Cuccaro, Michael L, Gilbert, John R, Wright, Harry H, Abramson, Ruth K, Betancur, Catalina, Bourgeron, Thomas, Gillberg, Christopher, Leboyer, Marion, Buxbaum, Joseph D, Davis, Kenneth L, Hollander, Eric, Silverman, Jeremy M, Hallmayer, Joachim, Lotspeich, Linda, Sutcliffe, James S, Haines, Jonathan L, Folstein, Susan E, Piven, Joseph, Wassink, Thomas H, Meyer, Kacie J, Sheffield, Val, Geschwind, Daniel H, Bucan, Maja, Brown, W Ted, Cantor, Rita M, Constantino, John N, Gilliam, T Conrad, Herbert, Martha, LaJonchere, Clara, Ledbetter, David H, Lese-Martin, Christa, Miller, Janet, Nelson, Stan, Samango-Sprouse, Carol A, Spence, Sarah, State, Matthew, Tanzi, Rudolph E, Coon, Hilary, Dawson, Geraldine, Devlin, Bernie, Estes, Annette, Flodman, Pamela, Klei, Lambertus, McMahon, William M, Minshew, Nancy, Munson, Jeff, Korvatska, Elena, Rodier, Patricia M, Schellenberg, Gerard D, Smith, Moyra, Spence, M Anne, Stodgell, Chris, Tepper, Ping Guo, Wijsman, Ellen M, Yu, Chang-En, Rogé, Bernadette, Mantoulan, Carine, Wittemeyer, Kerstin, Poustka, Annemarie, Felder, Bärbel, Klauck, Sabine M, Schuster, Claudia, Poustka, Fritz, Bölte, Sven, Feineis-Matthews, Sabine, Herbrecht, Evelyn, Schmötzer, Gabi, Tsiantis, John, Papanikolaou, Katerina, Maestrini, Elena, Bacchelli, Elena, Blasi, Francesca, Carone, Simona, Toma, Claudio, Van Engeland, Herman, de Jonge, Maretha, Kemner, Chantal, and Koop, Frederieke

Subjects
Biological Sciences, Genetics, Autism, Pediatric, Human Genome, Intellectual and Developmental Disabilities (IDD), Brain Disorders, Mental Health, Autistic Disorder, Chromosome Aberrations, Chromosome Mapping, Family, Female, Genetic Linkage, Genetic Predisposition to Disease, Genetic Testing, Genetic Variation, Humans, Lod Score, Male, Risk Factors, Autism Genome Project Consortium, glutamic acid, neurexin, neuroligin, adult, analytical equipment, article, autism, chromosome 11p, chromosome rearrangement, controlled study, family, female, gene locus, gene mapping, genetic analysis, genetic linkage, genetic risk, genetic variability, human, major clinical study, male, microarray analysis, priority journal, sample size, single nucleotide polymorphism, synaptogenesis, Genetic Screening, Linkage, Variation, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
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 1,181 [corrected] 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.

Published
2007

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

Author

Autism Genome Project Consortium, Szatmari, Peter, Paterson, Andrew D, Zwaigenbaum, Lonnie, Roberts, Wendy, Brian, Jessica, Liu, Xiao-Qing, Vincent, John B, Skaug, Jennifer L, Thompson, Ann P, Senman, Lili, Feuk, Lars, Qian, Cheng, Bryson, Susan E, Jones, Marshall B, Marshall, Christian R, Scherer, Stephen W, Vieland, Veronica J, Bartlett, Christopher, Mangin, La Vonne, Goedken, Rhinda, Segre, Alberto, Pericak-Vance, Margaret A, Cuccaro, Michael L, Gilbert, John R, Wright, Harry H, Abramson, Ruth K, Betancur, Catalina, Bourgeron, Thomas, Gillberg, Christopher, Leboyer, Marion, Buxbaum, Joseph D, Davis, Kenneth L, Hollander, Eric, Silverman, Jeremy M, Hallmayer, Joachim, Lotspeich, Linda, Sutcliffe, James S, Haines, Jonathan L, Folstein, Susan E, Piven, Joseph, Wassink, Thomas H, Sheffield, Val, Geschwind, Daniel H, Bucan, Maja, Brown, W Ted, Cantor, Rita M, Constantino, John N, Gilliam, T Conrad, Herbert, Martha, Lajonchere, Clara, Ledbetter, David H, Lese-Martin, Christa, Miller, Janet, Nelson, Stan, Samango-Sprouse, Carol A, Spence, Sarah, State, Matthew, Tanzi, Rudolph E, Coon, Hilary, Dawson, Geraldine, Devlin, Bernie, Estes, Annette, Flodman, Pamela, Klei, Lambertus, McMahon, William M, Minshew, Nancy, Munson, Jeff, Korvatska, Elena, Rodier, Patricia M, Schellenberg, Gerard D, Smith, Moyra, Spence, M Anne, Stodgell, Chris, Tepper, Ping Guo, Wijsman, Ellen M, Yu, Chang-En, Rogé, Bernadette, Mantoulan, Carine, Wittemeyer, Kerstin, Poustka, Annemarie, Felder, Bärbel, Klauck, Sabine M, Schuster, Claudia, Poustka, Fritz, Bölte, Sven, Feineis-Matthews, Sabine, Herbrecht, Evelyn, Schmötzer, Gabi, Tsiantis, John, Papanikolaou, Katerina, Maestrini, Elena, Bacchelli, Elena, Blasi, Francesca, Carone, Simona, Toma, Claudio, Van Engeland, Herman, de Jonge, Maretha, Kemner, Chantal, and Koop, Frederieke

Subjects
Autism Genome Project Consortium, Humans, Chromosome Aberrations, Genetic Predisposition to Disease, Risk Factors, Chromosome Mapping, Family, Autistic Disorder, Lod Score, Female, Male, Genetic Variation, Genetic Testing, Genetic Linkage, Intellectual and Developmental Disabilities (IDD), Pediatric Research Initiative, Human Genome, Pediatric, Brain Disorders, Genetics, Autism, Mental Health, glutamic acid, neurexin, neuroligin, adult, analytical equipment, article, autism, chromosome 11p, chromosome rearrangement, controlled study, family, female, gene locus, gene mapping, genetic analysis, genetic linkage, genetic risk, genetic variability, human, major clinical study, male, microarray analysis, priority journal, sample size, single nucleotide polymorphism, synaptogenesis, Genetic Screening, Linkage, Variation, Developmental Biology, Biological Sciences, Medical and Health Sciences
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 1,181 [corrected] 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.

Published
2007

31. Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifiesLRRC4C, LHX5-AS1and nominates ancestry-specific lociPTPRK,GRB14, andKIAA0825as novel risk loci for Alzheimer’s disease: the Alzheimer’s Disease Genetics Consortium

Author

Rajabli, Farid, primary, Benchek, Penelope, additional, Tosto, Giuseppe, additional, Kushch, Nicholas, additional, Sha, Jin, additional, Bazemore, Katrina, additional, Zhu, Congcong, additional, Lee, Wan-Ping, additional, Haut, Jacob, additional, Hamilton-Nelson, Kara L., additional, Wheeler, Nicholas R., additional, Zhao, Yi, additional, Farrell, John J., additional, Grunin, Michelle A., additional, Leung, Yuk Yee, additional, Kuksa, Pavel P., additional, Li, Donghe, additional, Lucio da Fonseca, Eder, additional, Mez, Jesse B., additional, Palmer, Ellen L., additional, Pillai, Jagan, additional, Sherva, Richard M., additional, Song, Yeunjoo E., additional, Zhang, Xiaoling, additional, Iqbal, Taha, additional, Pathak, Omkar, additional, Valladares, Otto, additional, Kuzma, Amanda B., additional, Abner, Erin, additional, Adams, Perrie M., additional, Aguirre, Alyssa, additional, Albert, Marilyn S., additional, Albin, Roger L., additional, Allen, Mariet, additional, Alvarez, Lisa, additional, Apostolova, Liana G., additional, Arnold, Steven E., additional, Asthana, Sanjay, additional, Atwood, Craig S., additional, Ayres, Gayle, additional, Baldwin, Clinton T., additional, Barber, Robert C., additional, Barnes, Lisa L., additional, Barral, Sandra, additional, Beach, Thomas G., additional, Becker, James T., additional, Beecham, Gary W., additional, Beekly, Duane, additional, Benitez, Bruno A., additional, Bennett, David, additional, Bertelson, John, additional, Bird, Thomas D., additional, Blacker, Deborah, additional, Boeve, Bradley F., additional, Bowen, James D., additional, Boxer, Adam, additional, Brewer, James, additional, Burke, James R., additional, Burns, Jeffrey M., additional, Buxbaum, Joseph D., additional, Cairns, Nigel J., additional, Cantwell, Laura B., additional, Cao, Chuanhai, additional, Carlson, Christopher S., additional, Carlsson, Cynthia M., additional, Carney, Regina M., additional, Carrasquillo, Minerva M., additional, Chasse, Scott, additional, Chesselet, Marie-Francoise, additional, Chin, Nathaniel A., additional, Chui, Helena C., additional, Chung, Jaeyoon, additional, Craft, Suzanne, additional, Crane, Paul K., additional, Cribbs, David H., additional, Crocco, Elizabeth A., additional, Cruchaga, Carlos, additional, Cuccaro, Michael L., additional, Cullum, Munro, additional, Darby, Eveleen, additional, Davis, Barbara, additional, De Jager, Philip L., additional, DeCarli, Charles, additional, DeToledo, John, additional, Dick, Malcolm, additional, Dickson, Dennis W., additional, Dombroski, Beth A., additional, Doody, Rachelle S., additional, Duara, Ranjan, additional, Ertekin-Taner, NIlüfer, additional, Evans, Denis A., additional, Faber, Kelley M., additional, Fairchild, Thomas J., additional, Fallon, Kenneth B., additional, Fardo, David W., additional, Farlow, Martin R., additional, Fernandez-Hernandez, Victoria, additional, Ferris, Steven, additional, Foroud, Tatiana M., additional, Frosch, Matthew P., additional, Fulton-Howard, Brian, additional, Galasko, Douglas R., additional, Gamboa, Adriana, additional, Gearing, Marla, additional, Geschwind, Daniel H., additional, Ghetti, Bernardino, additional, Gilbert, John R., additional, Goate, Alison M., additional, Grabowski, Thomas J., additional, Graff-Radford, Neill R., additional, Green, Robert C., additional, Growdon, John H., additional, Hakonarson, Hakon, additional, Hall, James, additional, Hamilton, Ronald L., additional, Harari, Oscar, additional, Hardy, John, additional, Harrell, Lindy E., additional, Head, Elizabeth, additional, Henderson, Victor W., additional, Hernandez, Michelle, additional, Hohman, Timothy, additional, Honig, Lawrence S., additional, Huebinger, Ryan M., additional, Huentelman, Matthew J., additional, Hulette, Christine M., additional, Hyman, Bradley T., additional, Hynan, Linda S., additional, Ibanez, Laura, additional, Jarvik, Gail P., additional, Jayadev, Suman, additional, Jin, Lee-Way, additional, Johnson, Kim, additional, Johnson, Leigh, additional, Kamboh, M. Ilyas, additional, Karydas, Anna M., additional, Katz, Mindy J., additional, Kauwe, John S., additional, Kaye, Jeffrey A., additional, Keene, C. Dirk, additional, Khaleeq, Aisha, additional, Kim, Ronald, additional, Knebl, Janice, additional, Kowall, Neil W., additional, Kramer, Joel H., additional, Kukull, Walter A., additional, LaFerla, Frank M., additional, Lah, James J., additional, Larson, Eric B., additional, Lerner, Alan, additional, Leverenz, James B., additional, Levey, Allan I., additional, Lieberman, Andrew P., additional, Lipton, Richard B., additional, Logue, Mark, additional, Lopez, Oscar L., additional, Lunetta, Kathryn L., additional, Lyketsos, Constantine G., additional, Mains, Douglas, additional, Margaret, Flanagan E., additional, Marson, Daniel C., additional, Martin, Eden R R., additional, Martiniuk, Frank, additional, Mash, Deborah C., additional, Masliah, Eliezer, additional, Massman, Paul, additional, Masurkar, Arjun, additional, McCormick, Wayne C., additional, McCurry, Susan M., additional, McDavid, Andrew N., additional, McDonough, Stefan, additional, McKee, Ann C., additional, Mesulam, Marsel, additional, Miller, Bruce L., additional, Miller, Carol A., additional, Miller, Joshua W., additional, Montine, Thomas J., additional, Monuki, Edwin S., additional, Morris, John C., additional, Mukherjee, Shubhabrata, additional, Myers, Amanda J., additional, Nguyen, Trung, additional, O’Bryant, Sid, additional, Olichney, John M., additional, Ory, Marcia, additional, Palmer, Raymond, additional, Parisi, Joseph E., additional, Paulson, Henry L., additional, Pavlik, Valory, additional, Paydarfar, David, additional, Perez, Victoria, additional, Peskind, Elaine, additional, Petersen, Ronald C., additional, Pierce, Aimee, additional, Polk, Marsha, additional, Poon, Wayne W., additional, Potter, Huntington, additional, Qu, Liming, additional, Quiceno, Mary, additional, Quinn, Joseph F., additional, Raj, Ashok, additional, Raskind, Murray, additional, Reiman, Eric M., additional, Reisberg, Barry, additional, Reisch, Joan S., additional, Ringman, John M., additional, Roberson, Erik D., additional, Rodriguear, Monica, additional, Rogaeva, Ekaterina, additional, Rosen, Howard J., additional, Rosenberg, Roger N., additional, Royall, Donald R., additional, Sager, Mark A., additional, Sano, Mary, additional, Saykin, Andrew J., additional, Schneider, Julie A., additional, Schneider, Lon S., additional, Seeley, William W., additional, Slifer, Susan H., additional, Small, Scott, additional, Smith, Amanda G., additional, Smith, Janet P., additional, Sonnen, Joshua A., additional, Spina, Salvatore, additional, St George-Hyslop, Peter, additional, Stern, Robert A., additional, Stevens, Alan B., additional, Strittmatter, Stephen M., additional, Sultzer, David, additional, Swerdlow, Russell H., additional, Tanzi, Rudolph E., additional, Tilson, Jeffrey L., additional, Trojanowski, John Q., additional, Troncoso, Juan C., additional, Tsuang, Debby W., additional, Van Deerlin, Vivianna M., additional, van Eldik, Linda J., additional, Vance, Jeffery M., additional, Vardarajan, Badri N., additional, Vassar, Robert, additional, Vinters, Harry V., additional, Vonsattel, Jean-Paul, additional, Weintraub, Sandra, additional, Welsh-Bohmer, Kathleen A., additional, Whitehead, Patrice L., additional, Wijsman, Ellen M., additional, Wilhelmsen, Kirk C., additional, Williams, Benjamin, additional, Williamson, Jennifer, additional, Wilms, Henrik, additional, Wingo, Thomas S., additional, Wisniewski, Thomas, additional, Woltjer, Randall L., additional, Woon, Martin, additional, Wright, Clinton B., additional, Wu, Chuang-Kuo, additional, Younkin, Steven G., additional, Yu, Chang-En, additional, Yu, Lei, additional, Zhu, Xiongwei, additional, Kunkle, Brian W., additional, Bush, William S., additional, Wang, Li-San, additional, Farrer, Lindsay A., additional, Haines, Jonathan L., additional, Mayeux, Richard, additional, Pericak-Vance, Margaret A., additional, Schellenberg, Gerard D., additional, Jun, Gyungah R., additional, Reitz, Christiane, additional, and Naj, Adam C., additional

Published
2023
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36. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Author

Chauhan, Ganesh, Adams, Hieab H.H., Satizabal, Claudia L., Bis, Joshua C., Teumer, Alexander, Sargurupremraj, Muralidharan, Hofer, Edith, Trompet, Stella, Hilal, Saima, Smith, Albert Vernon, Jian, Xueqiu, Malik, Rainer, Traylor, Matthew, Pulit, Sara L., Amouyel, Philippe, Mazoyer, Bernard, Zhu, Yi-Cheng, Kaffashian, Sara, Schilling, Sabrina, Beecham, Gary W., Montine, Thomas J., Schellenberg, Gerard D., Kjartansson, Olafur, Guðnason, Vilmundur, Knopman, David S., Griswold, Michael E., Windham, B. Gwen, Gottesman, Rebecca F., Mosley, Thomas H., Schmidt, Reinhold, Saba, Yasaman, Schmidt, Helena, Takeuchi, Fumihiko, Yamaguchi, Shuhei, Nabika, Toru, Kato, Norihiro, Rajan, Kumar B., Aggarwal, Neelum T., De Jager, Philip L., Evans, Denis A., Psaty, Bruce M., Rotter, Jerome I., Rice, Kenneth, Lopez, Oscar L., Liao, Jiemin, Chen, Christopher, Cheng, Ching-Yu, Wong, Tien Y., Ikram, Mohammad K., van der Lee, Sven J., Amin, Najaf, Chouraki, Vincent, DeStefano, Anita L., Aparicio, Hugo J., Romero, Jose R., Maillard, Pauline, DeCarli, Charles, Wardlaw, Joanna M., Hernández, Maria del C. Valdés, Luciano, Michelle, Liewald, David, Deary, Ian J., Starr, John M., Bastin, Mark E., Muñoz Maniega, Susana, Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, Uh, Hae-Won, Lemmens, Robin, Brodaty, Henry, Wright, Margaret J., Ames, David, Boncoraglio, Giorgio B., Hopewell, Jemma C., Beecham, Ashley H., Blanton, Susan H., Wright, Clinton B., Sacco, Ralph L., Wen, Wei, Thalamuthu, Anbupalam, Armstrong, Nicola J., Chong, Elizabeth, Schofield, Peter R., Kwok, John B., van der Grond, Jeroen, Stott, David J., Ford, Ian, Jukema, J. Wouter, Vernooij, Meike W., Hofman, Albert, Uitterlinden, André G., van der Lugt, Aad, Wittfeld, Katharina, Grabe, Hans J., Hosten, Norbert, von Sarnowski, Bettina, Völker, Uwe, Levi, Christopher, Jimenez-Conde, Jordi, Sharma, Pankaj, Sudlow, Cathie L.M., Rosand, Jonathan, Woo, Daniel, Cole, John W., Meschia, James F., Slowik, Agnieszka, Thijs, Vincent, Lindgren, Arne, Melander, Olle, Grewal, Raji P., Rundek, Tatjana, Rexrode, Kathy, Rothwell, Peter M., Arnett, Donna K., Jern, Christina, Johnson, Julie A., Benavente, Oscar R., Wasssertheil-Smoller, Sylvia, Lee, Jin-Moo, Wong, Quenna, Mitchell, Braxton D., Rich, Stephen S., McArdle, Patrick F., Geerlings, Mirjam I., van der Graaf, Yolanda, de Bakker, Paul I.W., Asselbergs, Folkert W., Srikanth, Velandai, Thomson, Russell, McWhirter, Rebekah, Moran, Chris, Callisaya, Michele, Phan, Thanh, Rutten-Jacobs, Loes C.A., Bevan, Steve, Tzourio, Christophe, Mather, Karen A., Sachdev, Perminder S., van Duijn, Cornelia M., Worrall, Bradford B., Dichgans, Martin, Kittner, Steven J., Markus, Hugh S., Ikram, Mohammad A., Fornage, Myriam, Launer, Lenore J., Seshadri, Sudha, Longstreth, W.T., Jr, Debette, Stéphanie, Almgren, Peter, Anderson, Christopher D., Arnett, Donna K., Attia, John, Ay, Hakan, Benavente, Oscar R., Bevan, Steve, Brown, Robert D., Bustamante, Mariana, Cheng, Yu-Ching, Cole, John W., Cotlarciuc, Ioana, Cruchaga, Carlos, de Bakker, Paul IW., Delavaran, Hossein, Dichgans, Martin, Engström, Gunnar, Fornage, Myriam, Grewal, Raji P., Heitsch, Laura, Holliday, Elizabeth, Ibanez, Laure, Ilinca, Andreea, Irvin, Marguerite R., Jackson, Rebecca D., Jern, Christina, Jimenez-Conde, Jordi, Johnson, Julie A., Jood, Katarina, Kissela, Brett M., Kittner, Steven J., Kleindorfer, Dawn O., Labovitz, Daniel, Laurie, Cathy C., Lee, Jin-Moo, Lemmens, Robin, Levi, Christopher, Li, Linxin, Lindgren, Arne G., Maguire, Jane, Markus, Hugh S., McArdle, Patrick F., Melander, Olle, Meschia, James F., Mitchell, Braxton D., Müller-Nurasyid, Martina, Norrving, Bo, Peddareddygari, Leema Reddy, Pera, Joanna, Pulit, Sara L., Rexrode, Kathryn, Ribasés, Marta, Roquer, Jaume, Rost, Natalia S., Rothwell, Peter M., Rundek, Tatjana, Sacco, Ralph L., Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Soriano-Tárraga, Carolina, Stanne, Tara, Stauch, Konstantin, Stine, O C., Sudlow, Cathie LM., Thijs, Vincent N.S., Wasssertheil-Smoller, Sylvia, Weir, David, Williams, Stephen R., Wong, Quenna, Woo, Daniel, Worrall, Bradford B., Xu, Huichun, Seshadri, Sudha, Hyacinth, Hyacinth I, Marini, Sandro, Nyquist, Paul, Lewis, Cathryn, Hansen, Bjorn, Norrving, Bo, Rosand, Jonathan, Biffi, Alessandro, Kourkoulis, Christina, Anderson, Chris, Giese, Anne-Katrin, Sacco, Ralph, Sharma, Pankaj, Chung, Jong-Won, Kim, Gyeong-Moon, Lubitz, Steven, Bourcier, Romain, Howson, Joanna, Granata, Alessandra, Drazyk, Anna, Markus, Hugh, Wardlaw, Joanna, Mitchell, Braxton, Cole, John, Hopewell, Jemma, Walters, Robin, Turnbull, Iain, Worrall, Bradford, Bis, Josh, Reiner, Alex, Dhar, Raj, Heitsch, Laura, Lee, Jin-Moo, Prasad, Kameshwar, Sarnowski, Chloé, Aparicio, Hugo Javier, Yang, Qiong, Chasman, Daniel, Rexrode, Kathryn, Phuah, Chia-Ling, Liu, Guiyou, Elkind, Mitchell, Lange, Leslie, Rost, Natalia, James, Michael, Stewart, Jill, Vojinovic, Dina, Thijs, Vincent, Parati, Eugenio, Boncoraglio, Giorgio, Zand, Ramin, Bijlenga, Philippe, Selim, Magdy, Grond-Ginsbach, Caspar, Strbian, Daniel, Tomppo, Liisa, Sallinen, Hanne, Pfeiffer, Dorothea, Torres, Nuria, Barboza, Miguel, Laarman, Melanie, Carriero, Roberta, Holliday, Elizabeth, Jimenez-Conde, Jordi, Soriano, Carolina, Gill, Dipender, Debette, Stephanie, Mishra, Aniket, Wu, Jer-Yuarn, Ko, Tai-Ming, Bione, Silvia, Jood, Katarina, Tatlisumak, Turgut, Holmegaard, Lukas, Yue, Suo, bersano, Anna, Pera, Joanna, Slowik, Agnieszka, Levi, Christopher, Schlicht, Kristina, Lemmens, Robin, Ninomiya, Toshiharu, Oberstein, Saskia Lesnik, Lee, Tsong-Hai, Malik, Rainer, Dichgans, Martin, Lindgren, Arne, Wasselius, Johan, Drake, Mattias, Melander, Olle, Stenman, Martin, Ilinca, Andreea, Crawford, Katherine, Lena, Umme, Mateen, Farrah, Ay, Hakan, Wu, Ona, Schirmer, Markus, Cramer, Steve, Golland, Polina, Brown, Robert, Meschia, James, Ross, Owen A., Pare, Guillaume, Chong, Mike, Rundek, Tatjana, Gwinn, Katrina, Chen, Christopher, Koenig, Jim, Giralt, Eva, Saleheen, Danish, de Leeuw, Frank-Erik, Klijn, Karin, Kamatani, Yoichiro, Kubo, Michiaki, Okada, Yukinori, Pedersen, Annie, Olsson, Maja, Martín, Juan José, Xu, Huichun, Tan, Eng King, Frid, Petrea, Lee, Chaeyoung, Tregouet, David, Leung, Thomas, Choy, Richard, Jern, Christina, Loo, Keat Wei, Rinkel, Gabriel, Franca, Paulo, Cendes, Iscia, Carrera, Caty, Fernandez-Cadenas, Israel, Montaner, Joan, Kim, Helen, Owolabi, Mayowa, Sofat, Reecha, Bakker, Mark, Ruigrok, Ynte, Hauer, Allard, Pulit, Sara L., van der Laan, Sander W., Irvin, Ryan, Sargurupremraj, Murali, Pezzini, Alessandro, Abd-Allah, Foad, Liebeskind, David, Traylor, Matthew, Tan, Rhea, Danesh, John, Rutten-Jacobs, Loes, Donatti, Amanda, Avelar, Wagner, Broderick, Joseph, Woo, Daniel, Sudlow, Cathie, Rannikmae, Kristiina, McDonough, Caitrin Wheeler, van Agtmael, Tom, Walters, Matthew, Söderholm, Martin, Lorentzen, Erik, Olsson, Sandra, Stanne, Tara, Olsson, Martina, Akinyemi, Rufus, Cotlatciuc, Ioana, McArdle, Patrick, Dave, Tushar, Kittner, Steven, Attia, John, Faber, James E, Millwood, Iona, Márquez, Elsa Valdés, Mancuso, Michelangelo, Vibo, Riina, Korv, Janika, Maguire, Jane, Fornage, Myriam, Majersik, Jennifer, DeHavenon, Adam, Alexander, Matthew, Sale, Michele, Southerland, Andrew, Owens, Debra, Psaty, Bruce, Longstreth, W. T., Jr, Wolfe, Stacey Quintero, Langefeld, Carl, Cruchaga, Carlos, Konrad, Jan, Sheth, Kevin, Falcone, Guido, Donahue, Kathleen, Simpkins, Alexis N, Liang Byorn, Tan Wei, Chan, Bernard, Clatworthy, Phil, Florez, Jose, Harshfield, Eric, Hozawa, Atsushi, Hsu, Chung, Hu, Chaur-Jong, Ibanez, Laure, Ihara, Masafumi, Lange, Marcos, Lee, Soo Ji, Lee, I-Hui, Musolino, Patricia, Nakatomi, Hirofumi, Park, Kwang-Yeol, Rich, Stephen S, Riley, Chris, Sung, Joohon, Suzuki, Hideaki, Vo, Katie, Washida, Kazuo, Ibenez, Laura Garcia, Slowik, Agnieszka, Hofman, Albert, Algra, Ale, Reiner, Alex P, Doney, Alexander S F, Gschwendtner, Andreas, Ilinca, Andreea, Giese, Anne-Katrin, Lindgren, Arne, Vicente, Astrid M, Norrving, Bo, Nordestgaard, Børge G, Mitchell, Braxton D, Worrall, Bradford B, Psaty, Bruce M, Carty, Cara L, Sudlow, Cathie, Anderson, Christopher D, Levi, Christopher, Satizabal, Claudia L, Palmer, Colin N A, Gamble, Dale M, Woo, Daniel, Saleheen, Danish, Ringelstein, E Bernd, Valdimarsson, Einar, Holliday, Elizabeth, Davies, Gail, Chauhan, Ganesh, Pasterkamp, Gerard, Boncoraglio, Giorgio, Kuhlenbäumer, Gregor, Thorleifsson, Gudmar, Falcone, Guido J, Pare, Guillame, Schmidt, Helena, Delavaran, Hossein, Markus, Hugh S, Aparicio, Hugo J, Deary, Ian, Cotlarciuc, Ioana, Fernandez-Cadenas, Israel, Meschia, James, Hopewell, Jemma C, Liu, Jingmin, Montaner, Joan, Pera, Joanna, Cole, John, Attia, John R, Rosand, Jonathan, Ferro, Jose M, Bis, Joshua, Furie, Karen, Stefansson, Kari, Berger, Klaus, Kostulas, Konstantinos, Rannikmae, Kristina, Ikram, M Arfan, Benn, Marianne, Dichgans, Martin, Farrall, Martin, Pandolfo, Massimo, Traylor, Matthew, Walters, Matthew, Sale, Michele, Nalls, Mike, Fornage, Myriam, van Zuydam, Natalie R, Sharma, Pankaj, Abrantes, Patricia, de Bakker, Paul IW, Higgins, Peter, Lichtner, Peter, Rothwell, Peter M, Amouyel, Philippe, Yang, Qiong, Malik, Rainer, Schmidt, Reinhold, Clarke, Robert, Lemmens, Robin, van der Laan, Sander W, Pulit, Sara L, Abboud, Sherine, Oliveira, Sofia A, Gretarsdottir, Solveig, Debette, Stephanie, Williams, Stephen R, Bevan, Steve, Kittner, Steven J, Seshadri, Sudha, Mosley, Thomas, Battey, Thomas WK, Tatlisumak, Turgut, Thorsteinsdottir, Unnur, Thijs, Vincent NS, Longstreth, W T, Zhao, Wei, Chen, Wei-Min, Cheng, Yu-Ching, Albert, Marilyn S., Albin, Roger L., Apostolova, Liana G., Arnold, Steven E., Asthana, Sanjay, Atwood, Craig S., Baldwin, Clinton T., Barmada, M. Michael, Barnes, Lisa L., Barral, Sandra, Beach, Thomas G., Becker, James T., Beecham, Gary W., Beekly, Duane, Bennett, David A., Bigio, Eileen H., Bird, Thomas D., Blacker, Deborah, Boeve, Bradley F., Boxer, Adam, Burke, James R., Burns, Jeffrey M., Buxbaum, Joseph D., Byrd, Goldie S., Cai, Guiqing, Cairns, Nigel J., Cantwell, Laura B., Cao, Chuanhai, Carlsson, Cynthia M., Carney, Regina M., Carrasquillo, Minerva M., Carroll, Steven L., Chui, Helena C., Clark, David G., Cribbs, David H., Crocco, Elizabeth A., Cruchaga, Carlos, De Jager, Philip L., DeCarli, Charles, Demirci, F. Yesim, Dick, Malcolm, Dickson, Dennis W., Duara, Ranjan, Ertekin-Taner, Nilufer, Evans, Denis A., Faber, Kelley M., Fallin, M. Daniele, Fallon, Kenneth B., Fardo, David W., Farlow, Martin R., Farrer, Lindsay A., Ferris, Steven, Foroud, Tatiana M., Frosch, Matthew P., Galasko, Douglas R., Gearing, Marla, Geschwind, Daniel H., Ghetti, Bernardino, Gilbert, John R., Go, Rodney C.P., Goate, Alison M., Graff-Radford, Neill R., Green, Robert C., Griffith, Patrick, Growdon, John H., Haines, Jonathan L., Hakonarson, Hakon, Hamilton, Ronald L., Hamilton-Nelson, Kara L., Haroutunian, Vahram, Harrell, Lindy E., Honig, Lawrence S., Huebinger, Ryan M., Hulette, Christine M., Hyman, Bradley T., Jicha, Gregory A., Jin, Lee-Way, Jun, Gyungah, Kamboh, M. Ilyas, Karydas, Anna, Kauwe, John S.K., Kaye, Jeffrey A., Kim, Ronald, Kowall, Neil W., Kramer, Joel H., Kukull, Walter A., Kunkle, Brian W., LaFerla, Frank M., Lah, James J., Lang-Walker, Rosalyn, Larson, Eric B., Leverenz, James B., Levey, Allan I., Li, Ge, Lieberman, Andrew P., Logue, Mark W., Lopez, Oscar L., Lunetta, Kathryn L., Lyketsos, Constantine G., Mack, Wendy J., Manly, Jennifer J., Marson, Daniel C., Martin, Eden R., Martiniuk, Frank, Mash, Deborah C., Masliah, Eliezer, Mayeux, Richard, McKee, Ann C., Mesulam, Marsel, Miller, Bruce L., Miller, Carol A., Miller, Joshua W., Montine, Thomas J., Morris, John C., Murrell, Jill R., Naj, Adam C., Obisesan, Thomas O., Olichney, John M., Pankratz, Vernon S., Parisi, Joseph E., Partch, Amanda, Paulson, Henry L., Pericak-Vance, Margaret A., Perry, William, Peskind, Elaine, Petersen, Ronald C., Pierce, Aimee, Poon, Wayne W., Potter, Huntington, Quinn, Joseph F., Raj, Ashok, Raj, Towfique, Raskind, Murray, Reiman, Eric M., Reisberg, Barry, Reitz, Christiane, Ringman, John M., Roberson, Erik D., Rosen, Howard J., Rosenberg, Roger N., Sager, Mark A., Sano, Mary, Saykin, Andrew J., Schellenberg, Gerard D., Schneider, Julie A., Schneider, Lon S., Seeley, William W., Smith, Amanda G., Sonnen, Joshua A., Spina, Salvatore, Stern, Robert A., Swerdlow, Russell H., Tanzi, Rudolph E., Thornton-Wells, Tricia A., Trojanowski, John Q., Troncoso, Juan C., Tsuang, Debby W., Valladares, Otto, Van Deerlin, Vivianna M., Van Eldik, Linda J., Vardarajan, Badri N., Vinters, Harry V., Vonsattel, Jean Paul, Wang, Li-San, Weintraub, Sandra, Welsh-Bohmer, Kathleen A., Williamson, Jennifer, Wingo, Thomas S., Wishnek, Sarah, Woltjer, Randall L., Wright, Clinton B., Younkin, Steven G., Yu, Chang-En, Yu, Lei, Chauhan, Ganesh, Chu, Audrey Y., Fornage, Myriam, Bis, Joshua C., Havulinna, Aki S., Sargurupremraj, Muralidharan, Smith, Albert Vernon, Adams, Hieab H.H., Choi, Seung Hoan, Trompet, Stella, Garcia, Melissa E., Manichaikul, Ani, Teumer, Alexander, Gustafsson, Stefan, Bartz, Traci M., Bellenguez, Céline, Vidal, Jean Sebastien, Jian, Xueqiu, Kjartansson, Olafur, Wiggins, Kerri L., Satizabal, Claudia L., Xue, Flora, Ripatti, Samuli, Liu, Yongmei, Deelen, Joris, Hoed, Marcel den, Heckbert, Susan R., Rice, Kenneth, Smith, Nicholas L., Wong, Quenna, Aparicio, Hugo J., Buring, Julie E., Ridker, Paul M, Berr, Claudine, Dartigues, Jean-François, Hamsten, Anders, Magnusson, Patrik K., Pedersen, Nancy L., Lannfelt, Lars, Lind, Lars, Lindgren, Cecilia M., Morris, Andrew P., Hofman, Albert, Koudstaal, Peter J., Portegies, Marileen LP., Uitterlinden, André G., de Craen, Anton JM, Ford, Ian, Jukema, J. Wouter, Stott, David J, Allen, Norrina B., Sale, Michele M., Johnson, Andrew D, Bennett, David A., De Jager, Philip L., White, Charles C., Grabe, Hans Jörgen, Paulista Markus, Marcello Ricardo, Lopez, Oscar L, Rotter, Jerome I., Nalls, Michael A., Gottesman, Rebecca F., Griswold, Michael E., Knopman, David S., Windham, B. Gwen, Beiser, Alexa, Vartiainen, Erkki, French, Curtis R., Kurth, Tobias, Psaty, Bruce M., Harris, Tamara B., Rich, Stephen S, deStefano, Anita L., Schmidt, Carsten Oliver, Salomaa, Veikko, Mosley, Thomas H., Ingelsson, Erik, van Duijn, Cornelia M., Tzourio, Christophe, Launer, Lenore J, Ikram, M. Arfan, Chasman, Daniel I., Longstreth, W. T., Jr, Seshadri, Sudha, Debette, Stéphanie, Verhaaren, Benjamin F.J., Debette, Stéphanie, Bis, Joshua C., Smith, Jennifer A., Ikram, M. Kamran, Adams, Hieab H., Beecham, Ashley H., Rajan, Kumar B., Lopez, Lorna M., Barral, Sandra, van Buchem, Mark A., van der Grond, Jeroen, Smith, Albert V., Hegenscheid, Katrin, Aggarwal, Neelum T., de Andrade, Mariza, Atkinson, Elizabeth J., Beekman, Marian, Beiser, Alexa S., Blanton, Susan H., Boerwinkle, Eric, Brickman, Adam M., Bryan, R. Nick, Chauhan, Ganesh, Chen, Christopher P.L.H., Chouraki, Vincent, de Craen, Anton J.M., Crivello, Fabrice, Deary, Ian J., Deelen, Joris, De Jager, Philip L., Dufouil, Carole, Elkind, Mitchell S.V., Evans, Denis A., Freudenberger, Paul, Gottesman, Rebecca F., Guðnason, Vilmundur, Habes, Mohamad, Heckbert, Susan R., Heiss, Gerardo, Hilal, Saima, Hofer, Edith, Hofman, Albert, Ibrahim-Verbaas, Carla A., Knopman, David S., Lewis, Cora E., Liao, Jiemin, Liewald, David C.M., Luciano, Michelle, van der Lugt, Aad, Martinez, Oliver O., Mayeux, Richard, Mazoyer, Bernard, Nalls, Mike, Nauck, Matthias, Niessen, Wiro J., Oostra, Ben A., Psaty, Bruce M., Rice, Kenneth M., Rotter, Jerome I., von Sarnowski, Bettina, Schmidt, Helena, Schreiner, Pamela J., Schuur, Maaike, Sidney, Stephen S., Sigurdsson, Sigurdur, Slagboom, P. Eline, Stott, David J.M., van Swieten, John C., Teumer, Alexander, Töglhofer, Anna Maria, Traylor, Matthew, Trompet, Stella, Turner, Stephen T., Tzourio, Christophe, Uh, Hae-Won, Uitterlinden, André G., Vernooij, Meike W., Wang, Jing J., Wong, Tien Y., Wardlaw, Joanna M., Windham, B. Gwen, Wittfeld, Katharina, Wolf, Christiane, Wright, Clinton B., Yang, Qiong, Zhao, Wei, Zijdenbos, Alex, Jukema, J. Wouter, Sacco, Ralph L., Kardia, Sharon L.R., Amouyel, Philippe, Mosley, Thomas H., Longstreth, W. T., Jr, DeCarli, Charles C., van Duijn, Cornelia M., Schmidt, Reinhold, Launer, Lenore J., Grabe, Hans J., Seshadri, Sudha S., Ikram, M. Arfan, Fornage, Myriam, Bis, Joshua C., Kavousi, Maryam, Franceschini, Nora, Isaacs, Aaron, Abecasis, Gonçalo R, Schminke, Ulf, Post, Wendy, Smith, Albert V., Cupples, L. Adrienne, Markus, Hugh S, Schmidt, Reinhold, Huffman, Jennifer E., Lehtimäki, Terho, Baumert, Jens, Münzel, Thomas, Heckbert, Susan R., Dehghan, Abbas, North, Kari, Oostra, Ben, Bevan, Steve, Stoegerer, Eva-Maria, Hayward, Caroline, Raitakari, Olli, Meisinger, Christa, Schillert, Arne, Sanna, Serena, Völzke, Henry, Cheng, Yu-Ching, Thorsson, Bolli, Fox, Caroline S., Rice, Kenneth, Rivadeneira, Fernando, Nambi, Vijay, Halperin, Eran, Petrovic, Katja E., Peltonen, Leena, Wichmann, H. Erich, Schnabel, Renate B., Dörr, Marcus, Parsa, Afshin, Aspelund, Thor, Demissie, Serkalem, Kathiresan, Sekar, Reilly, Muredach P., Taylor, Kent, Uitterlinden, Andre, Couper, David J., Sitzer, Matthias, Kähönen, Mika, Illig, Thomas, Wild, Philipp S., Orru, Marco, Lüdemann, Jan, Shuldiner, Alan R., Eiriksdottir, Gudny, White, Charles C., Rotter, Jerome I., Hofman, Albert, Seissler, Jochen, Zeller, Tanja, Usala, Gianluca, Ernst, Florian, Launer, Lenore J., DʼAgostino, Ralph B., Sr, OʼLeary, Daniel H., Ballantyne, Christie, Thiery, Joachim, Ziegler, Andreas, Lakatta, Edward G., Chilukoti, Ravi Kumar, Harris, Tamara B., Wolf, Philip A., Psaty, Bruce M., Polak, Joseph F, Li, Xia, Rathmann, Wolfgang, Uda, Manuela, Boerwinkle, Eric, Klopp, Norman, Schmidt, Helena, Wilson, James F, Viikari, Jorma, Koenig, Wolfgang, Blankenberg, Stefan, Newman, Anne B., Witteman, Jacqueline, Heiss, Gerardo, van Duijn, Cornelia, Scuteri, Angelo, Homuth, Georg, Mitchell, Braxton D., Gudnason, Vilmundur, and O’Donnell, Christopher J.

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2019
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38. Author Correction: Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

Author

Kunkle, Brian W., Grenier-Boley, Benjamin, Sims, Rebecca, Bis, Joshua C., Damotte, Vincent, Naj, Adam C., Boland, Anne, Vronskaya, Maria, van der Lee, Sven J., Amlie-Wolf, Alexandre, Bellenguez, Céline, Frizatti, Aura, Chouraki, Vincent, Martin, Eden R., Sleegers, Kristel, Badarinarayan, Nandini, Jakobsdottir, Johanna, Hamilton-Nelson, Kara L., Moreno-Grau, Sonia, Olaso, Robert, Raybould, Rachel, Chen, Yuning, Kuzma, Amanda B., Hiltunen, Mikko, Morgan, Taniesha, Ahmad, Shahzad, Vardarajan, Badri N., Epelbaum, Jacques, Hoffmann, Per, Boada, Merce, Beecham, Gary W., Garnier, Jean-Guillaume, Harold, Denise, Fitzpatrick, Annette L., Valladares, Otto, Moutet, Marie-Laure, Gerrish, Amy, Smith, Albert V., Qu, Liming, Bacq, Delphine, Denning, Nicola, Jian, Xueqiu, Zhao, Yi, Del Zompo, Maria, Fox, Nick C., Choi, Seung-Hoan, Mateo, Ignacio, Hughes, Joseph T., Adams, Hieab H., Malamon, John, Sanchez-Garcia, Florentino, Patel, Yogen, Brody, Jennifer A., Dombroski, Beth A., Naranjo, Maria Candida Deniz, Daniilidou, Makrina, Eiriksdottir, Gudny, Mukherjee, Shubhabrata, Wallon, David, Uphill, James, Aspelund, Thor, Cantwell, Laura B., Garzia, Fabienne, Galimberti, Daniela, Hofer, Edith, Butkiewicz, Mariusz, Fin, Bertrand, Scarpini, Elio, Sarnowski, Chloe, Bush, Will S., Meslage, Stéphane, Kornhuber, Johannes, White, Charles C., Song, Yuenjoo, Barber, Robert C., Engelborghs, Sebastiaan, Sordon, Sabrina, Voijnovic, Dina, Adams, Perrie M., Vandenberghe, Rik, Mayhaus, Manuel, Cupples, L. Adrienne, Albert, Marilyn S., De Deyn, Peter P., Gu, Wei, Himali, Jayanadra J., Beekly, Duane, Squassina, Alessio, Hartmann, Annette M., Orellana, Adelina, Blacker, Deborah, Rodriguez-Rodriguez, Eloy, Lovestone, Simon, Garcia, Melissa E., Doody, Rachelle S., Munoz-Fernadez, Carmen, Sussams, Rebecca, Lin, Honghuang, Fairchild, Thomas J., Benito, Yolanda A., Holmes, Clive, Karamujić-Čomić, Hata, Frosch, Matthew P., Thonberg, Hakan, Maier, Wolfgang, Roshchupkin, Gennady, Ghetti, Bernardino, Giedraitis, Vilmantas, Kawalia, Amit, Li, Shuo, Huebinger, Ryan M., Kilander, Lena, Moebus, Susanne, Hernández, Isabel, Kamboh, M. Ilyas, Brundin, RoseMarie, Turton, James, Yang, Qiong, Katz, Mindy J., Concari, Letizia, Lord, Jenny, Beiser, Alexa S., Keene, C. Dirk, Helisalmi, Seppo, Kloszewska, Iwona, Kukull, Walter A., Koivisto, Anne Maria, Lynch, Aoibhinn, Tarraga, Lluís, Larson, Eric B., Haapasalo, Annakaisa, Lawlor, Brian, Mosley, Thomas H., Lipton, Richard B., Solfrizzi, Vincenzo, Gill, Michael, Longstreth, Jr, W. T., Montine, Thomas J., Frisardi, Vincenza, Diez-Fairen, Monica, Rivadeneira, Fernando, Petersen, Ronald C., Deramecourt, Vincent, Alvarez, Ignacio, Salani, Francesca, Ciaramella, Antonio, Boerwinkle, Eric, Reiman, Eric M., Fievet, Nathalie, Rotter, Jerome I., Reisch, Joan S., Hanon, Olivier, Cupidi, Chiara, Uitterlinden, A. G. Andre, Royall, Donald R., Dufouil, Carole, Maletta, Raffaele Giovanni, de Rojas, Itziar, Sano, Mary, Brice, Alexis, Cecchetti, Roberta, George-Hyslop, Peter St, Ritchie, Karen, Tsolaki, Magda, Tsuang, Debby W., Dubois, Bruno, Craig, David, Wu, Chuang-Kuo, Soininen, Hilkka, Avramidou, Despoina, Albin, Roger L., Fratiglioni, Laura, Germanou, Antonia, Apostolova, Liana G., Keller, Lina, Koutroumani, Maria, Arnold, Steven E., Panza, Francesco, Gkatzima, Olymbia, Asthana, Sanjay, Hannequin, Didier, Whitehead, Patrice, Atwood, Craig S., Caffarra, Paolo, Hampel, Harald, Quintela, Inés, Carracedo, Ángel, Lannfelt, Lars, Rubinsztein, David C., Barnes, Lisa L., Pasquier, Florence, Frölich, Lutz, Barral, Sandra, McGuinness, Bernadette, Beach, Thomas G., Johnston, Janet A., Becker, James T., Passmore, Peter, Bigio, Eileen H., Schott, Jonathan M., Bird, Thomas D., Warren, Jason D., Boeve, Bradley F., Lupton, Michelle K., Bowen, James D., Proitsi, Petra, Boxer, Adam, Powell, John F., Burke, James R., Kauwe, John S. K., Burns, Jeffrey M., Mancuso, Michelangelo, Buxbaum, Joseph D., Bonuccelli, Ubaldo, Cairns, Nigel J., McQuillin, Andrew, Cao, Chuanhai, Livingston, Gill, Carlson, Chris S., Bass, Nicholas J., Carlsson, Cynthia M., Hardy, John, Carney, Regina M., Bras, Jose, Carrasquillo, Minerva M., Guerreiro, Rita, Allen, Mariet, Chui, Helena C., Fisher, Elizabeth, Masullo, Carlo, Crocco, Elizabeth A., DeCarli, Charles, Bisceglio, Gina, Dick, Malcolm, Ma, Li, Duara, Ranjan, Graff-Radford, Neill R., Evans, Denis A., Hodges, Angela, Faber, Kelley M., Scherer, Martin, Fallon, Kenneth B., Riemenschneider, Matthias, Fardo, David W., Heun, Reinhard, Farlow, Martin R., Kölsch, Heike, Ferris, Steven, Leber, Markus, Foroud, Tatiana M., Heuser, Isabella, Galasko, Douglas R., Giegling, Ina, Gearing, Marla, Hüll, Michael, Geschwind, Daniel H., Gilbert, John R., Morris, John, Green, Robert C., Mayo, Kevin, Growdon, John H., Feulner, Thomas, Hamilton, Ronald L., Harrell, Lindy E., Drichel, Dmitriy, Honig, Lawrence S., Cushion, Thomas D., Huentelman, Matthew J., Hollingworth, Paul, Hulette, Christine M., Hyman, Bradley T., Marshall, Rachel, Jarvik, Gail P., Meggy, Alun, Abner, Erin, Menzies, Georgina E., Jin, Lee-Way, Leonenko, Ganna, Real, Luis M., Jun, Gyungah R., Baldwin, Clinton T., Grozeva, Detelina, Karydas, Anna, Russo, Giancarlo, Kaye, Jeffrey A., Kim, Ronald, Jessen, Frank, Kowall, Neil W., Vellas, Bruno, Kramer, Joel H., Vardy, Emma, LaFerla, Frank M., Jöckel, Karl-Heinz, Lah, James J., Dichgans, Martin, Leverenz, James B., Mann, David, Levey, Allan I., Pickering-Brown, Stuart, Lieberman, Andrew P., Klopp, Norman, Lunetta, Kathryn L., Wichmann, H-Erich, Lyketsos, Constantine G., Morgan, Kevin, Marson, Daniel C., Brown, Kristelle, Martiniuk, Frank, Medway, Christopher, Mash, Deborah C., Nöthen, Markus M., Masliah, Eliezer, Hooper, Nigel M., McCormick, Wayne C., Daniele, Antonio, McCurry, Susan M., Bayer, Anthony, McDavid, Andrew N., Gallacher, John, McKee, Ann C., van den Bussche, Hendrik, Mesulam, Marsel, Brayne, Carol, Miller, Bruce L., Riedel-Heller, Steffi, Miller, Carol A., Miller, Joshua W., Al-Chalabi, Ammar, Morris, John C., Shaw, Christopher E., Myers, Amanda J., Wiltfang, Jens, O’Bryant, Sid, Olichney, John M., Alvarez, Victoria, Parisi, Joseph E., Singleton, Andrew B., Paulson, Henry L., Collinge, John, Perry, William R., Mead, Simon, Peskind, Elaine, Cribbs, David H., Rossor, Martin, Pierce, Aimee, Ryan, Natalie S., Poon, Wayne W., Nacmias, Benedetta, Potter, Huntington, Sorbi, Sandro, Quinn, Joseph F., Sacchinelli, Eleonora, Raj, Ashok, Spalletta, Gianfranco, Raskind, Murray, Caltagirone, Carlo, Bossù, Paola, Orfei, Maria Donata, Reisberg, Barry, Clarke, Robert, Reitz, Christiane, Smith, A David, Ringman, John M., Warden, Donald, Roberson, Erik D., Wilcock, Gordon, Rogaeva, Ekaterina, Bruni, Amalia Cecilia, Rosen, Howard J., Gallo, Maura, Rosenberg, Roger N., Ben-Shlomo, Yoav, Sager, Mark A., Mecocci, Patrizia, Saykin, Andrew J., Pastor, Pau, Cuccaro, Michael L., Vance, Jeffery M., Schneider, Julie A., Schneider, Lori S., Slifer, Susan, Seeley, William W., Smith, Amanda G., Sonnen, Joshua A., Spina, Salvatore, Stern, Robert A., Swerdlow, Russell H., Tang, Mitchell, Tanzi, Rudolph E., Trojanowski, John Q., Troncoso, Juan C., Van Deerlin, Vivianna M., Van Eldik, Linda J., Vinters, Harry V., Vonsattel, Jean Paul, Weintraub, Sandra, Welsh-Bohmer, Kathleen A., Wilhelmsen, Kirk C., Williamson, Jennifer, Wingo, Thomas S., Woltjer, Randall L., Wright, Clinton B., Yu, Chang-En, Yu, Lei, Saba, Yasaman, Alzheimer Disease Genetics Consortium (ADGC), The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES), Pilotto, Alberto, Bullido, Maria J., Peters, Oliver, Crane, Paul K., Bennett, David, Bosco, Paola, Coto, Eliecer, Boccardi, Virginia, De Jager, Phil L., Lleo, Alberto, Warner, Nick, Lopez, Oscar L., Ingelsson, Martin, Deloukas, Panagiotis, Cruchaga, Carlos, Graff, Caroline, Gwilliam, Rhian, Fornage, Myriam, Goate, Alison M., Sanchez-Juan, Pascual, Kehoe, Patrick G., Amin, Najaf, Ertekin-Taner, Nilifur, Berr, Claudine, Debette, Stéphanie, Love, Seth, Launer, Lenore J., Younkin, Steven G., Dartigues, Jean-Francois, Corcoran, Chris, Ikram, M. Arfan, Dickson, Dennis W., Nicolas, Gael, Campion, Dominique, Tschanz, JoAnn, Schmidt, Helena, Hakonarson, Hakon, Clarimon, Jordi, Munger, Ron, Schmidt, Reinhold, Farrer, Lindsay A., Van Broeckhoven, Christine, O’Donovan, Michael C., DeStefano, Anita L., Jones, Lesley, Haines, Jonathan L., Deleuze, Jean-Francois, Owen, Michael J., Gudnason, Vilmundur, Mayeux, Richard, Escott-Price, Valentina, Psaty, Bruce M., Ramirez, Alfredo, Wang, Li-San, Ruiz, Agustin, van Duijn, Cornelia M., Holmans, Peter A., Seshadri, Sudha, Williams, Julie, Amouyel, Phillippe, Schellenberg, Gerard D., Lambert, Jean-Charles, and Pericak-Vance, Margaret A.

Published
2019
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39. High-Performance Graph Algorithms from Parallel Sparse Matrices

Author

Gilbert, John R., Reinhardt, Steve, Shah, Viral B., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kågström, Bo, editor, Elmroth, Erik, editor, Dongarra, Jack, editor, and Waśniewski, Jerzy, editor

Published
2007
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40. Sparse Matrices in Matlab*P: Design and Implementation

Author

Shah, Viral, Gilbert, John R., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Dough, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Bougé, Luc, editor, and Prasanna, Viktor K., editor

Published
2005
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45. Early-Onset Alzheimer Disease and Candidate Risk Genes Involved in Endolysosomal Transport

Author

Kunkle, Brian W., Vardarajan, Badri N., Naj, Adam C., Whitehead, Patrice L., Rolati, Sophie, Slifer, Susan, Carney, Regina M., Cuccaro, Michael L., Vance, Jeffery M., Gilbert, John R., Wang, Li-San, Farrer, Lindsay A., Reitz, Christiane, Haines, Jonathan L., Beecham, Gary W., Martin, Eden R., Schellenberg, Gerard D., Mayeux, Richard P., and Pericak-Vance, Margaret A.

Published
2017
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