Institution
Trinity College, Dublin
Education•Dublin, Dublin, Ireland•
About: Trinity College, Dublin is a education organization based out in Dublin, Dublin, Ireland. It is known for research contribution in the topics: Population & Context (language use). The organization has 20576 authors who have published 48296 publications receiving 1780313 citations.
Topics: Population, Context (language use), Irish, Health care, Mental health
Papers published on a yearly basis
Papers
More filters
••
Stephan Ripke1, Alan R. Sanders2, Kenneth S. Kendler3, Douglas F. Levinson4 +207 more•Institutions (71)
TL;DR: The authors examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects.
Abstract: We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded genome-wide significant associations with schizophrenia for seven loci, five of which are new (1p21.3, 2q32.3, 8p23.2, 8q21.3 and 10q24.32-q24.33) and two of which have been previously implicated (6p21.32-p22.1 and 18q21.2). The strongest new finding (P = 1.6 x 10(-11)) was with rs1625579 within an intron of a putative primary transcript for MIR137 (microRNA 137), a known regulator of neuronal development. Four other schizophrenia loci achieving genome-wide significance contain predicted targets of MIR137, suggesting MIR137-mediated dysregulation as a previously unknown etiologic mechanism in schizophrenia. In a joint analysis with a bipolar disorder sample (16,374 affected individuals and 14,044 controls), three loci reached genome-wide significance: CACNA1C (rs4765905, P = 7.0 x 10(-9)), ANK3 (rs10994359, P = 2.5 x 10(-8)) and the ITIH3-ITIH4 region (rs2239547, P = 7.8 x 10(-9)).
1,671 citations
••
TL;DR: The rationales behind and the diagnostic performances of the core cerebrospinal fluid biomarkers for AD, namely total tau, phosphorylated tau and the 42 amino acid form of amyloid-β are presented.
Abstract: Intense multidisciplinary research has provided detailed knowledge of the molecular pathogenesis of Alzheimer disease (AD). This knowledge has been translated into new therapeutic strategies with putative disease-modifying effects. Several of the most promising approaches, such as amyloid-beta immunotherapy and secretase inhibition, are now being tested in clinical trials. Disease-modifying treatments might be at their most effective when initiated very early in the course of AD, before amyloid plaques and neurodegeneration become too widespread. Thus, biomarkers are needed that can detect AD in the predementia phase or, ideally, in presymptomatic individuals. In this Review, we present the rationales behind and the diagnostic performances of the core cerebrospinal fluid (CSF) biomarkers for AD, namely total tau, phosphorylated tau and the 42 amino acid form of amyloid-beta. These biomarkers reflect AD pathology, and are candidate markers for predicting future cognitive decline in healthy individuals and the progression to dementia in patients who are cognitively impaired. We also discuss emerging plasma and CSF biomarkers, and explore new proteomics-based strategies for identifying additional CSF markers. Furthermore, we outline the roles of CSF biomarkers in drug discovery and clinical trials, and provide perspectives on AD biomarker discovery and the validation of such markers for use in the clinic.
1,659 citations
••
TL;DR: The results show that cell number was highest in scaffolds with the largest pore size, which was deemed optimal for bone tissue engineering, and an added advantage of the larger pores is a reduction in cell aggregations that develop along the edges of the scaffolds.
1,631 citations
••
TL;DR: A strategy is described for the rapid alignment of many long nucleic acid or protein sequences on a microcomputer based on progressively aligning sequences according to the branching order in an initial phylogenetic tree.
Abstract: A strategy is described for the rapid alignment of many long nucleic acid or protein sequences on a microcomputer. The program described can handle up to 100 sequences of 1200 residues each. The approach is based on progressively aligning sequences according to the branching order in an initial phylogenetic tree. The results obtained using the package appear to be as sensitive as those from any other available method.
1,609 citations
••
TL;DR: A current snapshot of high-throughput computational materials design is provided, and the challenges and opportunities that lie ahead are highlighted.
Abstract: High-throughput computational materials design is an emerging area of materials science. By combining advanced thermodynamic and electronic-structure methods with intelligent data mining and database construction, and exploiting the power of current supercomputer architectures, scientists generate, manage and analyse enormous data repositories for the discovery of novel materials. In this Review we provide a current snapshot of this rapidly evolving field, and highlight the challenges and opportunities that lie ahead.
1,568 citations
Authors
Showing all 20853 results
Name | H-index | Papers | Citations |
---|---|---|---|
Edward Giovannucci | 206 | 1671 | 179875 |
Robin M. Murray | 171 | 1539 | 116362 |
Mark E. Cooper | 158 | 1463 | 124887 |
Stephen J. O'Brien | 153 | 1062 | 93025 |
Amartya Sen | 149 | 689 | 141907 |
Kevin Murphy | 146 | 728 | 120475 |
Peter M. Visscher | 143 | 694 | 118115 |
Mihai G. Netea | 142 | 1170 | 86908 |
Kristine Yaffe | 136 | 794 | 72250 |
Cisca Wijmenga | 136 | 668 | 86572 |
David A. Jackson | 136 | 1095 | 68352 |
Patrick F. Sullivan | 133 | 594 | 92298 |
Thomas N. Williams | 132 | 1145 | 95109 |
Paul Brennan | 132 | 1221 | 72748 |
David Taylor | 131 | 2469 | 93220 |