Search

Your search keyword '"Cheng, Y. C."' showing total 1,475 results
Start Over Author "Cheng, Y. C."
1,475 results on '"Cheng, Y. C."'

151. Correction: Genome-wide analysis of blood pressure variability and ischemic stroke

Author

Yadav, S, Cotlarciuc, I, Munroe, PB, Khan, MS, Nalls, MA, Bevan, S, Cheng, Y-C, Chen, W-M, Malik, R, McCarthy, NS, Holliday, EG, Speed, D, Hasan, N, Pucek, M, Rinne, PE, Sever, P, Stanton, A, Shields, DC, Maguire, JM, McEvoy, M, Scott, RJ, Ferrucci, L, Macleod, MJ, Attia, J, Markus, HS, Sale, MM, Worrall, BB, Mitchell, BD, Dichgans, M, Sudlow, C, Meschia, JF, Rothwell, PM, Caulfield, M, and Sharma, P

Subjects
Science & Technology, Neurology & Neurosurgery, Peripheral Vascular Disease, Clinical Neurology, Cardiovascular System & Cardiology, 1103 Clinical Sciences, Neurosciences & Neurology, 1109 Neurosciences, Life Sciences & Biomedicine, 1102 Cardiovascular Medicine And Haematology
Published
2013

155. Genome-wide association study identifies a variant in HDAC9 associated with large vessel ischemic stroke

Author

Bellenguez, C, Bevan, S, Gschwendtner, A, Spencer, CCA, Burgess, AI, Pirinen, M, Jackson, CA, Traylor, M, Strange, A, Su, Z, Band, G, Syme, PD, Malik, R, Pera, J, Bo, N, Lemmens, R, Freeman, C, Schanz, R, James, T, Poole, D, Murphy, L, Segal, H, Cortellini, L, Cheng, Y-C, Woo, D, Nalls, MA, Müller-Myhsok, B, Meisinger, C, Seedorf, U, Ross-Adams, H, Boonen, S, Wloch-Kopec, D, Valant, V, Slark, J, Furie, K, Delavaran, H, Langford, C, Deloukas, P, Edkins, S, Hunt, S, Gray, E, Dronov, S, Peltonen, L, Gretarsdottir, S, Thorleifsson, G, Thorsteinsdottir, U, Stefansson, K, Boncoraglio, GB, Parati, EA, Attia, J, Holliday, E, Levi, C, Franzosi, M-G, Goel, A, Helgadottir, A, Blackwell, JM, Bramon, E, Brown, MA, Casas, JP, Corvin, A, Duncanson, A, Jankowski, J, Mathew, CG, Palmer, CNA, Plomin, R, Rautanen, A, Sawcer, SJ, Trembath, RC, Viswanathan, AC, Wood, NW, Worrall, BB, Kittner, SJ, Mitchell, BD, Kissela, B, Meschia, JF, Thijs, V, Lindgren, A, MacLeod, MJ, Slowik, A, Walters, M, Rosand, J, Sharma, P, Farrall, M, Sudlow, CLM, Rothwell, PM, Dichgans, M, Donnelly, P, and Markus, HS

Published
2012

157. Flat focusing mirrors

Author

Staliunas, K., primary, Cheng, Y. C., additional, Kicas, S., additional, Trull, J., additional, Cojocaru, C., additional, Peckus, M., additional, Vilaseca, R., additional, and Drazdys, R., additional

Published
2015
Full Text
View/download PDF

159. Evidence for several independent genetic variants affecting lipoprotein (a) cholesterol levels

Author

Lu, W., primary, Cheng, Y.-C., additional, Chen, K., additional, Wang, H., additional, Gerhard, G. S., additional, Still, C. D., additional, Chu, X., additional, Yang, R., additional, Parihar, A., additional, O'Connell, J. R., additional, Pollin, T. I., additional, Angles-Cano, E., additional, Quon, M. J., additional, Mitchell, B. D., additional, Shuldiner, A. R., additional, and Fu, M., additional

Published
2015
Full Text
View/download PDF

161. Multilocus genetic risk score associates with ischemic stroke in case-control and prospective cohort studies

Author

Malik, R. (Rainer), Bevan, S. (Steve), Nalls, M.A. (Michael), Holliday, E.G. (Elizabeth), Devan, W.J. (William), Cheng, Y.-C. (Yu-Ching), Ibrahim-Verbaas, C.A. (Carla), Verhaaren, B.F.J. (Benjamin), Bis, J.C. (Joshua), Joon, A.Y. (Aron), Stefano, A.L. (Anita) de, Fornage, M. (Myriam), Psaty, B.M. (Bruce), Ikram, M.A. (Arfan), Launer, L.J. (Lenore), Duijn, C.M. (Cornelia) van, Sharma, P. (Pankaj), Mitchell, B.D. (Braxton), Rosand, J. (Jonathan), Meschia, J.F. (James F.), Levi, C. (Christopher), Rothwell, P.M. (Peter), Sudlow, C. (Cathie), Markus, H.S. (Hugh), Seshadri, S. (Sudha), Kubisch, C. (Christian), Malik, R. (Rainer), Bevan, S. (Steve), Nalls, M.A. (Michael), Holliday, E.G. (Elizabeth), Devan, W.J. (William), Cheng, Y.-C. (Yu-Ching), Ibrahim-Verbaas, C.A. (Carla), Verhaaren, B.F.J. (Benjamin), Bis, J.C. (Joshua), Joon, A.Y. (Aron), Stefano, A.L. (Anita) de, Fornage, M. (Myriam), Psaty, B.M. (Bruce), Ikram, M.A. (Arfan), Launer, L.J. (Lenore), Duijn, C.M. (Cornelia) van, Sharma, P. (Pankaj), Mitchell, B.D. (Braxton), Rosand, J. (Jonathan), Meschia, J.F. (James F.), Levi, C. (Christopher), Rothwell, P.M. (Peter), Sudlow, C. (Cathie), Markus, H.S. (Hugh), Seshadri, S. (Sudha), and Kubisch, C. (Christian)

Abstract

Background and Purpose - Genome-wide association studies have revealed multiple common variants associated with known risk factors for ischemic stroke (IS). However, their aggregate effect on risk is uncertain. We aimed to generate a multilocus genetic risk score (GRS) for IS based on genome-wide association studies data from clinical-based samples and to establish its external validity in prospective population-based cohorts. Methods - Three thousand five hundred forty-eight clinic-based IS cases and 6399 controls from the Wellcome Trust Case Control Consortium 2 were used for derivation of the GRS. Subjects from the METASTROKE consortium served as a replication sample. The validation sample consisted of 22 751 participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium. We selected variants that had reached genome-wide significance in previous association studies on established risk factors for IS. Results - A combined GRS for atrial fibrillation, coronary artery disease, hypertension, and systolic blood pressure significantly associated with IS both in the case-control samples and in the prospective population-based studies. Subjects in the top quintile of the combined GRS had >2-fold increased risk of IS compared with subjects in the lowest quintile. Addition of the combined GRS to a simple model based on sex significantly improved the prediction of IS in the combined clinic-based samples but not in the population-based studies, and there was no significant improvement in net reclassification. Conclusions - A multilocus GRS based on common variants for established cardiovascular risk factors was significantly associated with IS both in clinic-based samples and in the general population. However, the improvement in clinical risk predict

Published
2014
Full Text
View/download PDF

162. A Novel MMP12 Locus Is Associated with Large Artery Atherosclerotic Stroke Using a Genome-Wide Age-at-Onset Informed Approach

Author

Frayling, TM, Traylor, M, Makela, K-M, Kilarski, LL, Holliday, EG, Devan, WJ, Nalls, MA, Wiggins, KL, Zhao, W, Cheng, Y-C, Achterberg, S, Malik, R, Sudlow, C, Bevan, S, Raitoharju, E, Oksala, N, Thijs, V, Lemmens, R, Lindgren, A, Slowik, A, Maguire, JM, Walters, M, Algra, A, Sharma, P, Attia, JR, Boncoraglio, GB, Rothwell, PM, Bakker, PIWD, Bis, JC, Saleheen, D, Kittner, SJ, Mitchell, BD, Rosand, J, Meschia, JF, Levi, C, Dichgans, M, Lehtimaki, T, M. Lewis, C, Markus, HS, Frayling, TM, Traylor, M, Makela, K-M, Kilarski, LL, Holliday, EG, Devan, WJ, Nalls, MA, Wiggins, KL, Zhao, W, Cheng, Y-C, Achterberg, S, Malik, R, Sudlow, C, Bevan, S, Raitoharju, E, Oksala, N, Thijs, V, Lemmens, R, Lindgren, A, Slowik, A, Maguire, JM, Walters, M, Algra, A, Sharma, P, Attia, JR, Boncoraglio, GB, Rothwell, PM, Bakker, PIWD, Bis, JC, Saleheen, D, Kittner, SJ, Mitchell, BD, Rosand, J, Meschia, JF, Levi, C, Dichgans, M, Lehtimaki, T, M. Lewis, C, and Markus, HS

Abstract

Genome-wide association studies (GWAS) have begun to identify the common genetic component to ischaemic stroke (IS). However, IS has considerable phenotypic heterogeneity. Where clinical covariates explain a large fraction of disease risk, covariate informed designs can increase power to detect associations. As prevalence rates in IS are markedly affected by age, and younger onset cases may have higher genetic predisposition, we investigated whether an age-at-onset informed approach could detect novel associations with IS and its subtypes; cardioembolic (CE), large artery atherosclerosis (LAA) and small vessel disease (SVD) in 6,778 cases of European ancestry and 12,095 ancestry-matched controls. Regression analysis to identify SNP associations was performed on posterior liabilities after conditioning on age-at-onset and affection status. We sought further evidence of an association with LAA in 1,881 cases and 50,817 controls, and examined mRNA expression levels of the nearby genes in atherosclerotic carotid artery plaques. Secondly, we performed permutation analyses to evaluate the extent to which age-at-onset informed analysis improves significance for novel loci. We identified a novel association with an MMP12 locus in LAA (rs660599; p = 2.5×10⁻⁷), with independent replication in a second population (p = 0.0048, OR(95% CI) = 1.18(1.05-1.32); meta-analysis p = 2.6×10⁻⁸). The nearby gene, MMP12, was significantly overexpressed in carotid plaques compared to atherosclerosis-free control arteries (p = 1.2×10⁻¹⁵; fold change = 335.6). Permutation analyses demonstrated improved significance for associations when accounting for age-at-onset in all four stroke phenotypes (p<0.001). Our results show that a covariate-informed design, by adjusting for age-at-onset of stroke, can detect variants not identified by conventional GWAS.

Published
2014

172. Temperature dependence of electronic conduction in thin nitrided oxides.

Author

Yang, B. L., Wong, H., Cheng, Y. C., and Liu, B. Y.

Subjects
TEMPERATURE, HEAT conduction, THIN films, NITRIDES, OXIDES
Abstract

Presents a study which investigated the temperature dependance of electronic conduction in thin nitrided oxides. Sample fabrication; Discussion of the conduction currents in the nitrided oxides; Conclusions.

Published
1994
Full Text
View/download PDF

173. Effects of nitridation temperature on the electron trap characteristics of nitrided-oxide metal-oxide-semiconductor capacitors.

Author

Fleischer, S., Lai, P. T., and Cheng, Y. C.

Subjects
NITRIDES, METAL oxide semiconductors, EXTRACTION (Chemistry), SILICA
Abstract

Provides information on a study that analyzed the effects of nitridation temperature on trap parameters of nitrided-oxide metal-oxide-semiconductor capacitors. Technique used for extracting trap energies; Reason for the interest in the effects of ammonia annealing on thin silicon dioxide films; Disadvantage from the use of the nitridation technique.

Published
1993
Full Text
View/download PDF

176. Flat Focusing Mirror

Author

Cheng, Y. C., primary, Kicas, S., additional, Trull, J., additional, Peckus, M., additional, Cojocaru, C., additional, Vilaseca, R., additional, Drazdys, R., additional, and Staliunas, K., additional

Published
2014
Full Text
View/download PDF

185. Are myocardial infarction-associated single-nucleotide polymorphisms associated with ischemic stroke?

Author

Cheng, Y.-C., Anderson, C.D., Bione, S., Keene, K., Maguire, J.M., Nalls, M., Rasheed, A., Zeginigg, M., Attia, J., Baker, R., Barlera, S., Biffi, A., Bookman, E., Brott, T.G., Brown, R. D., Chen, F., Chen, W.-M., Ciusani, E., Cole, J.W., Cortellini, L., Danesh, J., Doheny, K., Ferrucci, L., Grazia Franzosi, M., Frossard, P., Furie, K.L., Golledge, J., Hankey, G.J., Hernandez, D., Holliday, E.G., Hsu, F.-C., Jannes, J., Kamal, A., Khan, M.S., Kittner, S.J., Koblar, S.A., Lewis, M., Lincz, L., Lisa, A., Matarin, M., Moscato, P., Mychaleckyj, J.C., Parati, E.A., Parolo, S., Pugh, E., Rost, N.S., Schallert, M., Schmidt, H., Scott, R.J., Sturm, J.W., Yadav, S., Zaidi, M., Boncoraglio, G.B., Levi, C.R., Meschia, J.F., Rosand, J., Sale, M., Saleheen, D., Schmidt, R., Sharma, P., Worrall, B., Mitchell, B.D., Cheng, Y.-C., Anderson, C.D., Bione, S., Keene, K., Maguire, J.M., Nalls, M., Rasheed, A., Zeginigg, M., Attia, J., Baker, R., Barlera, S., Biffi, A., Bookman, E., Brott, T.G., Brown, R. D., Chen, F., Chen, W.-M., Ciusani, E., Cole, J.W., Cortellini, L., Danesh, J., Doheny, K., Ferrucci, L., Grazia Franzosi, M., Frossard, P., Furie, K.L., Golledge, J., Hankey, G.J., Hernandez, D., Holliday, E.G., Hsu, F.-C., Jannes, J., Kamal, A., Khan, M.S., Kittner, S.J., Koblar, S.A., Lewis, M., Lincz, L., Lisa, A., Matarin, M., Moscato, P., Mychaleckyj, J.C., Parati, E.A., Parolo, S., Pugh, E., Rost, N.S., Schallert, M., Schmidt, H., Scott, R.J., Sturm, J.W., Yadav, S., Zaidi, M., Boncoraglio, G.B., Levi, C.R., Meschia, J.F., Rosand, J., Sale, M., Saleheen, D., Schmidt, R., Sharma, P., Worrall, B., and Mitchell, B.D.

Abstract

Background and Purpose-Ischemic stroke (IS) shares many common risk factors with coronary artery disease (CAD). We hypothesized that genetic variants associated with myocardial infarction (MI) or CAD may be similarly involved in the etiology of IS. To test this hypothesis, we evaluated whether single-nucleotide polymorphisms (SNPs) at 11 different loci recently associated with MI or CAD through genome-wide association studies were associated with IS. Methods-Meta-analyses of the associations between the 11 MI-associated SNPs and IS were performed using 6865 cases and 11 395 control subjects recruited from 9 studies. SNPs were either genotyped directly or imputed; in a few cases a surrogate SNP in high linkage disequilibrium was chosen. Logistic regression was performed within each study to obtain study-specific βs and standard errors. Meta-analysis was conducted using an inverse variance weighted approach assuming a random effect model. Results-Despite having power to detect odds ratio of 1.09-1.14 for overall IS and 1.20-1.32 for major stroke subtypes, none of the SNPs were significantly associated with overall IS and/or stroke subtypes after adjusting for multiple comparisons. Conclusions-Our results suggest that the major common loci associated with MI risk do not have effects of similar magnitude on overall IS but do not preclude moderate associations restricted to specific IS subtypes. Disparate mechanisms may be critical in the development of acute ischemic coronary and cerebrovascular events.

Published
2012

186. Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE Collaboration): A meta-analysis of genome-wide association studies

Author

Traylor, M. (Matthew), Farrall, M. (Martin), Holliday, E.G. (Elizabeth), Sudlow, C. (Cathie), Hopewell, J., Cheng, Y.-C. (Yu-Ching), Fornage, M. (Myriam), Ikram, M.A. (Arfan), Malik, R. (Rainer), Bevan, S. (Steve), Thorsteinsdottir, U. (Unnur), Nalls, M.A. (Michael), Longstreth Jr, W.T., Wiggins, K.L. (Kerri), Yadav, S. (Sunaina), Parati, E.A. (Eugenio), DeStefano, A.L. (Anita), Worrall, B.B. (Bradford B.), Kittner, T. (Thomas), Khan, M.I. (Muhammad), Reiner, A. (Alexander), Helgadottir, H.T. (Hafdis), Achterberg, S. (Sefanja), Fernandez-Cadenas, I. (Israel), Abboud, S. (Shimon), Schmidt, R. (Reinhold), Walters, M.R. (Matthew), Chen, W-M., Ringelstein, E.B. (E. Bernd), O'Donnell, M. (Martin), Ho, W.K. (Weang Kee), Pera, M.F. (Martin ), Lemmens, R. (Robin), Norrving, B. (Bo), Higgins, P. (Peter), Benn, M. (Marianne), Sale, P. (Patrizio), Kuhlenbäumer, G. (Gregor), Doney, A.S.F. (Alex), Vicente, A.M. (Astrid M), Delavaran, H. (Hossein), Algra, A. (Ale), Davies, G. (Gail), Oliveira, S.A. (Sofia), Palmer, C.N.A. (Colin), Deary, I.J. (Ian), Pandolfo, M. (Massimo), Montaner, J. (Joan), Carty, C. (Cara), Bakker, P.I.W. (Paul) de, Kostulas, K. (Konstantinos), Ferro, M.T. (María), Zuydam, N.R. (Natalie) van, Valdimarsson, E. (Einar), Nordestgaard, B.G. (Børge), Lindgren, A. (Arne), Thijs, V. (Vincent), Slowik, A. (Agnieszka), Saleheen, D., Paré, G. (Guillaume), Berger, K. (Klaus), Thorleifsson, G. (Gudmar), Hofman, A. (Albert), Mosley, T.H. (Thomas), Mitchell, B.D. (Braxton), Furie, K.L. (Karen), Clarke, R. (Robert), Levi, C. (Christopher), Seshadri, S. (Sudha), Gschwendtner, A. (Andreas), Boncoraglio, G. (Giorgio Battista), Sharma, P. (Pankaj), Bis, J.C. (Joshua), Gretarsdottir, S. (Solveig), Psaty, B.M. (Bruce), Rothwell, P.M. (Peter), Rosand, J. (Jonathan), Meschia, J.F. (James F.), Zwart, J-A. (John-Anker), Kubisch, C. (Christian), Markus, H.S. (Hugh), Traylor, M. (Matthew), Farrall, M. (Martin), Holliday, E.G. (Elizabeth), Sudlow, C. (Cathie), Hopewell, J., Cheng, Y.-C. (Yu-Ching), Fornage, M. (Myriam), Ikram, M.A. (Arfan), Malik, R. (Rainer), Bevan, S. (Steve), Thorsteinsdottir, U. (Unnur), Nalls, M.A. (Michael), Longstreth Jr, W.T., Wiggins, K.L. (Kerri), Yadav, S. (Sunaina), Parati, E.A. (Eugenio), DeStefano, A.L. (Anita), Worrall, B.B. (Bradford B.), Kittner, T. (Thomas), Khan, M.I. (Muhammad), Reiner, A. (Alexander), Helgadottir, H.T. (Hafdis), Achterberg, S. (Sefanja), Fernandez-Cadenas, I. (Israel), Abboud, S. (Shimon), Schmidt, R. (Reinhold), Walters, M.R. (Matthew), Chen, W-M., Ringelstein, E.B. (E. Bernd), O'Donnell, M. (Martin), Ho, W.K. (Weang Kee), Pera, M.F. (Martin ), Lemmens, R. (Robin), Norrving, B. (Bo), Higgins, P. (Peter), Benn, M. (Marianne), Sale, P. (Patrizio), Kuhlenbäumer, G. (Gregor), Doney, A.S.F. (Alex), Vicente, A.M. (Astrid M), Delavaran, H. (Hossein), Algra, A. (Ale), Davies, G. (Gail), Oliveira, S.A. (Sofia), Palmer, C.N.A. (Colin), Deary, I.J. (Ian), Pandolfo, M. (Massimo), Montaner, J. (Joan), Carty, C. (Cara), Bakker, P.I.W. (Paul) de, Kostulas, K. (Konstantinos), Ferro, M.T. (María), Zuydam, N.R. (Natalie) van, Valdimarsson, E. (Einar), Nordestgaard, B.G. (Børge), Lindgren, A. (Arne), Thijs, V. (Vincent), Slowik, A. (Agnieszka), Saleheen, D., Paré, G. (Guillaume), Berger, K. (Klaus), Thorleifsson, G. (Gudmar), Hofman, A. (Albert), Mosley, T.H. (Thomas), Mitchell, B.D. (Braxton), Furie, K.L. (Karen), Clarke, R. (Robert), Levi, C. (Christopher), Seshadri, S. (Sudha), Gschwendtner, A. (Andreas), Boncoraglio, G. (Giorgio Battista), Sharma, P. (Pankaj), Bis, J.C. (Joshua), Gretarsdottir, S. (Solveig), Psaty, B.M. (Bruce), Rothwell, P.M. (Peter), Rosand, J. (Jonathan), Meschia, J.F. (James F.), Zwart, J-A. (John-Anker), Kubisch, C. (Christian), and Markus, H.S. (Hugh)

Abstract

Background: Various genome-wide association studies (GWAS) have been done in ischaemic stroke, identifying a few loci associated with the disease, but sample sizes have been 3500 cases or less. We established the METASTROKE collaboration with the aim of validating associations from previous GWAS and identifying novel genetic associations through meta-analysis of GWAS datasets for ischaemic stroke and its subtypes. Methods: We meta-analysed data from 15 ischaemic stroke cohorts with a total of 12 389 individuals with ischaemic stroke and 62 004 controls, all of European ancestry. For the associations reaching genome-wide significance in METASTROKE, we did a further analysis, conditioning on the lead single nucleotide polymorphism in every associated region. Replication of novel suggestive signals was done in 13 347 cases and 29 083 controls. Findings: We verified previous associations for cardioembolic stroke near PITX2 (p=2·8×10-16) and ZFHX3 (p=2·28×10-8), and for large-vessel stroke at a 9p21 locus (p=3·32×10-5) and HDAC9 (p=2·03×10-12). Additionally, we verified that all associations were subtype specific. Conditional analysis in the three regions for which the associations reached genome-wide significance (PITX2, ZFHX3, and HDAC9) indicated that all the signal in each region could be attributed to one risk haplotype. We also identified 12 potentially novel loci at p<5×10-6. However, we were unable to replicate any of these novel associations in the replication cohort. Interpretation: Our results show that, although genetic variants can be detected in patients with ischaemic stroke when compared with controls, all associations we were able to confirm are specific to a stroke subtype. This finding has two implications. First, to maximise success of genetic studies in ischaemic stroke, detailed stroke subtyping is required. Second, different genetic pathophysiological mechanisms seem to be associated with different stroke subtypes. Funding: Wellcome Trust, UK Medic

Published
2012
Full Text
View/download PDF

187. Common variants at 6p21.1 are associated with large artery atherosclerotic stroke

Author

Holliday, E.G., Maguire, J.M., Evans, T-J, Koblar, S.A., Jannes, J., Sturm, J.W., Hankey, G.J., Baker, R., Golledge, J., Parsons, M.W., Malik, R., McEvoy, M., Biros, E., Lewis, M.D., Lincz, L.F., Peel, R., Oldmeadow, C., Smith, W., Moscato, P., Barlera, S., Bevan, S., Bis, J.C., Boerwinkle, E., Boncoraglio, G.B., Brott, T.G., Brown, R.D., Cheng, Y-C, Cole, J.W., Cotlarciuc, I., Devan, W.J., Fornage, M., Furie, K.L., Grétarsdóttir, S., Gschwendtner, A., Ikram, M.A., Longstreth, W.T., Meschia, J.F., Mitchell, B.D., Mosley, T.H., Nalls, M.A., Parati, E.A., Psaty, B.M., Sharma, P., Stefansson, K., Thorleifsson, G., Thorsteinsdottir, U., Traylor, M., Verhaaren, B.F.J., Wiggins, K.L., Worrall, B.B., Sudlow, C., Rothwell, P.M., Farrall, M., Dichgans, M., Rosand, J., Markus, H.S., Scott, R.J., Levi, C., Attia, J., Holliday, E.G., Maguire, J.M., Evans, T-J, Koblar, S.A., Jannes, J., Sturm, J.W., Hankey, G.J., Baker, R., Golledge, J., Parsons, M.W., Malik, R., McEvoy, M., Biros, E., Lewis, M.D., Lincz, L.F., Peel, R., Oldmeadow, C., Smith, W., Moscato, P., Barlera, S., Bevan, S., Bis, J.C., Boerwinkle, E., Boncoraglio, G.B., Brott, T.G., Brown, R.D., Cheng, Y-C, Cole, J.W., Cotlarciuc, I., Devan, W.J., Fornage, M., Furie, K.L., Grétarsdóttir, S., Gschwendtner, A., Ikram, M.A., Longstreth, W.T., Meschia, J.F., Mitchell, B.D., Mosley, T.H., Nalls, M.A., Parati, E.A., Psaty, B.M., Sharma, P., Stefansson, K., Thorleifsson, G., Thorsteinsdottir, U., Traylor, M., Verhaaren, B.F.J., Wiggins, K.L., Worrall, B.B., Sudlow, C., Rothwell, P.M., Farrall, M., Dichgans, M., Rosand, J., Markus, H.S., Scott, R.J., Levi, C., and Attia, J.

Abstract

Genome-wide association studies (GWAS) have not consistently detected replicable genetic risk factors for ischemic stroke, potentially due to etiological heterogeneity of this trait. We performed GWAS of ischemic stroke and a major ischemic stroke subtype (large artery atherosclerosis, LAA) using 1,162 ischemic stroke cases (including 421 LAA cases) and 1,244 population controls from Australia. Evidence for a genetic influence on ischemic stroke risk was detected, but this influence was higher and more significant for the LAA subtype. We identified a new LAA susceptibility locus on chromosome 6p21.1 (rs556621: odds ratio (OR) = 1.62, P = 3.9 × 10 -8) and replicated this association in 1,715 LAA cases and 52,695 population controls from 10 independent population cohorts (meta-analysis replication OR = 1.15, P = 3.9 × 10 -4; discovery and replication combined OR = 1.21, P = 4.7 × 10 -8). This study identifies a genetic risk locus for LAA and shows how analyzing etiological subtypes may better identify genetic risk alleles for ischemic stroke.

Published
2012

188. Discovery of main-belt comet P/2006 VW139 by Pan-STARRS1

Author

Hsieh, H.H., Yang, B., Haghighipour, N., Kaluna, H.M., Fitzsimmons, A., Denneau, L., Novakovia, B., Jedicke, R., Wainscoat, R.J., Armstrong, J.D., Duddy, S.R., Lowry, S.C., Trujillo, C.A., Micheli, M., Keane, J.V., Urban, L., Riesen, T., Meech, K.J., Abe, S., Cheng, Y.-C., Chen, W.-P., Granvik, M., Grav, T., Ip, W.-H., Kinoshita, D., Kleyna, J., Lacerda, P., Lister, T., Milani, A., Tholen, D.J., Vereš, P., Lisse, C.M., Kelley, M.S., Fernández, Y.R., Bhatt, B.C., Sahu, D.K., Kaiser, N., Chambers, K.C., Hodapp, K.W., Magnier, E.A., Price, P.A., Tonry, J.L., Hsieh, H.H., Yang, B., Haghighipour, N., Kaluna, H.M., Fitzsimmons, A., Denneau, L., Novakovia, B., Jedicke, R., Wainscoat, R.J., Armstrong, J.D., Duddy, S.R., Lowry, S.C., Trujillo, C.A., Micheli, M., Keane, J.V., Urban, L., Riesen, T., Meech, K.J., Abe, S., Cheng, Y.-C., Chen, W.-P., Granvik, M., Grav, T., Ip, W.-H., Kinoshita, D., Kleyna, J., Lacerda, P., Lister, T., Milani, A., Tholen, D.J., Vereš, P., Lisse, C.M., Kelley, M.S., Fernández, Y.R., Bhatt, B.C., Sahu, D.K., Kaiser, N., Chambers, K.C., Hodapp, K.W., Magnier, E.A., Price, P.A., and Tonry, J.L.

Abstract

The main-belt asteroid (300163) 2006 VW139 (later designated P/2006 VW139) was discovered to exhibit comet-like activity by the Pan-STARRS1 (PS1) survey telescope using automated point-spread-function analyses performed by PS1's Moving Object Processing System. Deep follow-up observations show both a short (~10'') antisolar dust tail and a longer (~60'') dust trail aligned with the object's orbit plane, similar to the morphology observed for another main-belt comet (MBC), P/2010 R2 (La Sagra), and other well-established comets, implying the action of a long-lived, sublimation-driven emission event. Photometry showing the brightness of the near-nucleus coma remaining constant over ~30 days provides further evidence for this object's cometary nature, suggesting it is in fact an MBC, and not a disrupted asteroid. A spectroscopic search for CN emission was unsuccessful, though we find an upper limit CN production rate of Q CN < 1.3 × 1024 mol s–1, from which we infer a water production rate of $Q_{\rm H_2O}<10^{26}$ mol s–1. We also find an approximately linear optical spectral slope of 7.2%/1000 Å, similar to other cometary dust comae. Numerical simulations indicate that P/2006 VW139 is dynamically stable for >100 Myr, while a search for a potential asteroid family around the object reveals a cluster of 24 asteroids within a cutoff distance of 68 m s–1. At 70 m s–1, this cluster merges with the Themis family, suggesting that it could be similar to the Beagle family to which another MBC, 133P/Elst-Pizarro, belongs. © 2012. The American Astronomical Society. All rights reserved.

Published
2012

189. Automated Recognition of Weld Pool Characteristics from Active Vision Sensing.

Author

CHENG, Y. C., WANG, Q. Y., JIAO, W. H., XIAO, J., CHEN, S. J., and ZHANG, Y. M.

Subjects
GAS tungsten arc welding, WELDED joints, LASER welding, VISION statements, CONVOLUTIONAL neural networks, WELDING, DIGITAL image correlation
Abstract

While penetration occurs underneath the workpiece, the raw information used to detect it during welding must be measurable to a sensor attached to the torch. Challenges are apparent because it is difficult to find such measurable raw information that fundamentally correlates with the phenomena occurring underneath. Additional challenges arise because the welding process is extremely complex such that analytically correlating any raw information to the underneath phenomena is practically impossible; therefore, handcrafted methods to propose features from raw information are human dependent and labor extensive. In this paper, the profile of the weld pool surface was proposed as the raw information. An innovative method was proposed to acquire it by projecting a single laser stripe on the weld pool surface transversely and intercepting its reflection from the mirror-like weld pool surface. To minimize human intervention, which can affect success, a deeplearning-based method was proposed to automatically recognize features from the single-stripe active vision images by fitting a convolutional neural network (CNN). To train the CNN, spot gas tungsten arc welding experiments were designed and conducted to collect the active vision images in pairs with their actual penetration states measured by a camera that views the backside surface of the workpiece. The CNN architecture was optimized by trying different hyperparameters, including kernel number, kernel size, and node number. The accuracy of the optimized model is about 98% and the cycle time in the personal computer is ~ 0.1 s, which fully meets the required engineering application. [ABSTRACT FROM AUTHOR]

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results