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51 citation(s) found for "Woo, Daniel".

Abstract WMP56: Genetics of Acute Ischemic Lesion Volume: the MRI-Genetics Interface Exploration (MRI-GENIE) Study
Xu, Huichun , Donahue, Kathleen, McArdle, Patrick F. , Jiménez-Conde, Jordi , Kleindorfer, Dawn , Schmidt, Reinhold, Sharma, Pankaj , Słowik, Agnieszka , Woo, Daniel , Worrall, Bradford B. , Kittner, Steven J. , Rosand, Jonathan, Golland, Polina , Rost, Natalia S. , Giese, Anne‐Katrin , Schirmer, Markus D. , Dalca, Adrian Vasile , Gaynor, Brady J. , Cole, John W. , Broderick, Joseph P. , Jern, Christina , Kissela, Brett , Lemmens, Robin , Lindgren, Arne G. , Rundek, Tatjana , Sacco, Ralph L. , Thijs, Vincent , Meschia, James F. , Rosand, Jonathan M. , Mitchell, Braxton D. , Wu, Ona

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Stroke | October 8, 2018 | Volume: 49 | Issue: Suppl_1 | Pages: No page available

10.1161/str.49.suppl_1.wmp56 Get It

Introduction: Genome-wide association (GWA) studies have contributed substantially to the understanding of complex vascular traits including ischemic stroke; however, genetic determinants of acute cerebral ischemia remain to be elucidated. Objective: To investigate the genetic architecture of cerebral infarct lesion burden in patients with acute ischemic stroke (AIS). Methods: Twelve international sites contributed 3,301 AIS subjects with acute MRI and genome-wide genotyping to the MRI-GENIE study. In a preliminary analysis of 657 subjects of European ancestry, acute cerebral infarct lesions were outlined on diffusion-weighted images (DWI) using a semi-automated volumetric method. Standard quality control measures were performed per single nucleotide polymorphism (SNP) and per subject. SNPs were imputed to the Haplotype Reference Consortium v1.1 panel. Natural log-transformed DWI volume was used for GWA analysis with allelic dosage per SNP, age, sex and principal components 1-5 of genetic ancestry as covariates. Results: GWA testing for DWI volume in 7.7 million SNPs yielded no signal crossing the Bonferroni-corrected genome-wide significance threshold of p <5*10 -8 . However, several loci passed the nominal significance threshold of p <1*10 -6 (Figure 1), including a locus on chromosome 2 in the SPATA3-AS1 (spermatogenesis associated 3 antisense RNA 1) gene (lead SNP: rs2368999, MAF=36%, p =8.4*10 -7 ) and an intronic locus on chromosome 10 in the ATRNL1 (Attractin like 1) gene (lead SNP: rs592284, MAF=10%, p =9.1*10 -7 ). Conclusion: In this first-to-date, preliminary GWAS of acute cerebral infarct volume in AIS patients, we identified several new, nominally significant loci including a locus in ATRNL1, a gene previously linked to carotid plaque burden. Further analyses of the MRI-GENIE cohort to replicate these findings, to include stroke subtype specific analyses, and to increase the overall statistical power of the study are ongoing.
17p12 Influences Hematoma Volume and Outcome in Spontaneous Intracerebral Hemorrhage
Devan, William J., Radmanesh, Farid , Miyares, Laura , Poterba, Timothy , Hansen, Björn M. , Jiménez-Conde, Jordi , Elosúa, Roberto , Cuadrado‐Godia, Elisa , Soriano‐Tárraga, Carolina , Roquer, Jaume , Kourkoulis, Christina , Schwab, Kristin , Tirschwell, David , Brown, Devin L. , Silliman, Scott, Worrall, Bradford B. , Kidwell, Chelsea S., Montaner, Joan , Delgado, Pilar , Greenberg, Steven M. , Matouk, Charles, Woo, Daniel , Anderson, Christopher D. , Falcone, Guido J. , Montaner, Joan , Marini, Sandro , Norrving, Bo , Giralt‐Steinhauer, Eva , Ayres, Alison M. , Selim, Magdy H. , Meschia, James F. , Fernández‐Cadenas, Israel , Lindgren, Arne G. , Sheth, Kevin N. , Rosand, Jonathan M.

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Stroke | June 18, 2018 | Volume: 49 | Issue: 7 | Pages: 1618-1625

10.1161/strokeaha.117.020091 | PMID 29915124 Get It

Background and Purpose— Hematoma volume is an important determinant of clinical outcome in spontaneous intracerebral hemorrhage (ICH). We performed a genome-wide association study (GWAS) of hematoma volume with the aim of identifying novel biological pathways involved in the pathophysiology of primary brain injury in ICH. Methods— We conducted a 2-stage (discovery and replication) case-only genome-wide association study in patients with ICH of European ancestry. We utilized the admission head computed tomography to calculate hematoma volume via semiautomated computer-assisted technique. After quality control and imputation, 7 million genetic variants were available for association testing with ICH volume, which was performed separately in lobar and nonlobar ICH cases using linear regression. Signals with P <5×10 − 8 were pursued in replication and tested for association with admission Glasgow coma scale and 3-month post-ICH dichotomized (0–2 versus 3–6) modified Rankin Scale using ordinal and logistic regression, respectively. Results— The discovery phase included 394 ICH cases (228 lobar and 166 nonlobar) and identified 2 susceptibility loci: a genomic region on 22q13 encompassing PARVB (top single-nucleotide polymorphism rs9614326: β, 1.84; SE, 0.32; P =4.4×10 −8 ) for lobar ICH volume and an intergenic region overlying numerous copy number variants on 17p12 (top single-nucleotide polymorphism rs11655160: β, 0.95; SE, 0.17; P =4.3×10 −8 ) for nonlobar ICH volume. The replication included 240 ICH cases (71 lobar and 169 nonlobar) and corroborated the association for 17p12 ( P =0.04; meta-analysis P =2.5×10 −9 ; heterogeneity, P =0.16) but not for 22q13 ( P =0.49). In multivariable analysis, rs11655160 was also associated with lower admission Glasgow coma scale (odds ratio, 0.17; P =0.004) and increased risk of poor 3-month modified Rankin Scale (odds ratio, 1.94; P =0.045). Conclusions— We identified 17p12 as a novel susceptibility risk locus for hematoma volume, clinical severity, and functional outcome in nonlobar ICH. Replication in other ethnicities and follow-up translational studies are needed to elucidate the mechanism mediating the observed association.
Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases
Haycock, Philip , Burgess, Stephen , Nounu, Aayah , Zheng, Jie , Okoli, George N. , Wade, Kaitlin H. , Timpson, Nicholas J. , Evans, David M. , Willeit, Peter , Aviv, Abraham , Gaunt, Tom R. , Hemani, Gibran , Mangino, Massimo , Ellis, Hayley, Kurian, Kathreena M. , Pooley, Karen A. , Eeles, Rosalind A. , Lee, Jeffrey E. , Fang, Shenying , Chen, Wei V., Law, Matthew H. , Bowdler, Lisa, Iles, Mark M. , Worrall, Bradford B. , Markus, Hugh S. , Hung, Rayjean J., Amos, Chris, Thompson, Deborah J. , O’Mara, Tracy A. , Wolpin, Brian M. , Ámundadóttir, Laufey T. , Trichopoulou, Antonia , Onland‐Moret, N. Charlotte , Lund, Eiliv , Canzian, Federico , Severi, Gianluca , Overvad, Kim , Gunter, Marc J. , ­Tumino, ­Rosario , Svenson, Ulrika, Rij, André van, Baas, Annette F., Bown, Matthew J. , Samani, Nilesh J. , t’Hof, Femke N.G. van, Tromp, Gerard , Jones, Gregory T. , Kuivaniemi, Helena , Elmore, James R. , Johansson, Mattias , McKay, James , Scélo, Ghislaine , Carreras‐Torres, Robert , Gaborieau, Valérie , Brennan, Paul , Bracci, Paige M. , Olson, Sara H. , Gallinger, Steven , Li, Donghui , Petersen, Gloria M. , Han, Jiali , Abnet, Christian C. , Freedman, Neal D. , Aben, Katja K.H. , Kiemeney, Lambertus A. , Vermeulen, Sita H. , Walsh, Kyle M. , Wrensch, Margaret , Rice, Terri, Turnbull, Clare , Litchfield, Kevin , Paternoster, Lavinia , Standl, Marie , Mijatovic, Vladan, Sapkota, Yadav , Zondervan, Krina T. , Nyholt, Dale R. , Heel, David A. van , Arking, Dan E. , Ashar, Foram N., Sotoodehnia, Nona, Woo, Daniel , Comeau, Mary E. , Brown, W. Mark , Silverman, Edwin K. , Hokanson, John E. , Hui, Jennie , Thompson, Philip J. , Morrison, Alanna C. , Smith, Nicholas L. , Christiano, Angela M. , Petukhova, Lynn , Betz, Regina C. , Zhang, Xuejun, Zhu, Caihong, Langefeld, Carl D. , Thompson, Susan D. , Wang, Feijie , Fingerlin, Tasha E. , Rotter, Jerome I. , Cotch, Mary Frances , Jensen, Richard A., Munz, Matthias , Dommisch, Henrik , Schäefer, Arne S. , Ollila, Hanna M. , Hillary, Ryan P. , Zeng, Chenjie , Zheng, Wei , Shu, Xiao-Ou , Reis, André , Uebe, Steffen , Hüffmeier, Ulrike , Kawamura, Yoshiya, Otowa, Takeshi , Sasaki, Tsukasa, Dávila, Sonia , Siminovitch, Katherine A. , Bei, Jin‐Xin , Zeng, Yi‐Xin , Chen, Bowang , Franke, Andre, Fischer, Annegret, Ellinghaus, David , Flores, Carlos , Noth, Imre , Ma, Shwu‐Fan , Foo, Jia Nee , Liu, Jianjun , Cox, David G. , Delattre, Olivier , Mirabeau, Olivier , Skibola, Christine F., Tang, Clara Sze-Man , Garcia-Barceló, Mercè, Su, Wen-Hui , Chang, Yu‐Sun , Wade, Tracey , Lee, Chaeyoung , Kubo, Michiaki , Cha, Pei-Chieng , Nakamura, Yusuke, Levy, Daniel , Hunt, S. E., Spector, Tim D. , Soranzo, Nicole , Barr, R. Graham, Kahali, Bratati , Speliotes, Elizabeth K. , Yerges-Armstrong, Laura M. , Cheng, Ching‐Yu , Wong, Tien Yin , Fogh, Isabella , Powell, John , Rice, Kenneth , Relton, Caroline L. , Martin, Richard M. , Smith, George Davey , Hung, Rayjean J. , Bowden, Jack , Yang, Qiong , Spurdle, Amanda B. , Stolzenberg‐Solomon, Rachael Z. , Duell, Eric J. , Neale, Rachel Ε. , Risch, Harvey A. , Klein, Alison P. , Taylor, Philip R. , Maris, John M. , Wiencke, John K. , Abecasis, Gonçalo R. , SanGiovanni, John Paul , Li, Yong , Low, Siew‐Kee , Montgomery, Grant W. , Hunt, Karen A. , Rosand, Jonathan M. , Cho, Michael H. , Ferreira, Manuel A. R. , Felix, Janine F. , Fan, Xing Hua , Xu, Lin , Schwartz, David A. , Han, Fang , Albagha, Omar , Ralston, Stuart H. , Sasaki, Tsukasa, Hibberd, Martin Lloyd , Xie, Gang , Försti, Asta , Landi, Stefano , Ellinghaus, David , Kim, Jong‐Won , Chang, Kai‐Ping , Martin, Nicholas G. , Gordon, Scott D. , Kimura, Masayuki , Hwang, Shih‐Jen , Manichaikul, Ani , Barr, R. Graham, Jonas, Jost B , Lin, Kuang , Amundadottir, Laufey , Kiemeney, Lambertus A , Eeles, Rosalind A , van Heel, David A , Gunter, Marc J , Canzian, Federico , Hung, Rayjean J , O'Mara, Tracy A , Abnet, Christian C , Haycock, Philip , Tumino, Rosario , Han, Jiali , Martin, Richard M , Severi, Gianluca , Reis, André , Zheng, Wei , Rotter, Jerome I , Carreras-Torres, Robert , Law, Matthew H , Davey Smith, George , Johansson, Mattias , Iles, Mark M , Morrison, Alanna C , Rice, Ken , Freedman, Neal D , Foo, Jia Nee , Levy, Daniel , Rice, Kenneth , Sapkota, Yadav , Wong, Tien Y , Liu, Jing

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JAMA Oncology | February 27, 2017 | Volume: 3 | Issue: 5 | Pages: 636

10.1001/jamaoncol.2016.5945 | PMID 28241208 Get It

Genetic variation at 16q24.2 is associated with small vessel stroke
Traylor, Matthew , Nalls, Mike A., Cotlarciuc, Ioana, Radmanesh, Farid , Hanscombe, Ken B. , Langefeld, Carl D. , Saleheen, Danish , Rost, Natalia S. , Yet, İdil , Spector, Tim D. , Bell, Jordana T. , Hannon, Eilís , Mill, Jonathan , Chauhan, Ganesh , Debette, Stéphanie , Bis, Joshua C. , Longstreth, W.T. , Seshadri, Sudha , Hamilton‐Bruce, Monica Anne , Jiménez-Conde, Jordi , Schmidt, Reinhold, Słowik, Agnieszka , Lemmens, Robin , Lindgren, Arne, Melander, Olle , Grewal, Raji P., Sacco, Ralph L., Rexrode, Kathryn M. , Arnett, Donna K. , Johnson, Julie A. , Benavente, Oscar, Wasssertheil‐Smoller, Sylvia, Lee, Jin‐Moo , Pulit, Sara L. , Wong, Quenna , Rich, Stephen S. , Bakker, Paul I. W. de , McArdle, Patrick F. , Woo, Daniel , Anderson, Christopher D. , Xu, Huichun , Heitsch, Laura , Fornage, Myriam , Stefansson, Kari, Þorsteinsdóttir, Unnur , Grétarsdóttir, Sólveig , Lewis, Cathryn M. , Sudlow, Cathie , Rothwell, Peter M. , Boncoraglio, Giorgio B. , Thijs, Vincent , Levi, Christopher , Kittner, Steven J. , Dichgans, Martin , Worrall, Bradford B. , Markus, Hugh S. , Malik, Rainer , Þorleifsson, Guðmar , Ikram, M. Arfan , Launer, Lenore J. , Cole, John W. , Lindgren, Arne, Rundek, Tatjana , Jern, Christina , Stefansson, Kari, Lewis, Cathryn M , Sharma, Pankaj Kumar , Meschia, James F. , Rosand, Jonathan M. , Mitchell, Braxton D. , Dichgans, Martin , Rich, Stephen S , Seshadri, Sudha , Debette, Stephanie , Lemmens, Robin , Arnett, Donna K , Lee, Jin-Moo

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Annals of Neurology | December 20, 2016 | Volume: 81 | Issue: 3 | Pages: 383-394

10.1002/ana.24840 | PMID 27997041 Get It

Objective Genome‐wide association studies (GWAS) have been successful at identifying associations with stroke and stroke subtypes, but have not yet identified any associations solely with small vessel stroke (SVS). SVS comprises one quarter of all ischemic stroke and is a major manifestation of cerebral small vessel disease, the primary cause of vascular cognitive impairment. Studies across neurological traits have shown that younger‐onset cases have an increased genetic burden. We leveraged this increased genetic burden by performing an age‐at‐onset informed GWAS meta‐analysis, including a large younger‐onset SVS population, to identify novel associations with stroke. Methods We used a three‐stage age‐at‐onset informed GWAS to identify novel genetic variants associated with stroke. On identifying a novel locus associated with SVS, we assessed its influence on other small vessel disease phenotypes, as well as on messenger RNA (mRNA) expression of nearby genes, and on DNA methylation of nearby CpG sites in whole blood and in the fetal brain. Results We identified an association with SVS in 4,203 cases and 50,728 controls on chromosome 16q24.2 (odds ratio [OR; 95% confidence interval {CI}] = 1.16 [1.10–1.22]; p = 3.2 × 10 −9 ). The lead single‐nucleotide polymorphism (rs12445022) was also associated with cerebral white matter hyperintensities (OR [95% CI] = 1.10 [1.05–1.16]; p = 5.3 × 10 −5 ; N = 3,670), but not intracerebral hemorrhage (OR [95% CI] = 0.97 [0.84–1.12]; p = 0.71; 1,545 cases, 1,481 controls). rs12445022 is associated with mRNA expression of ZCCHC14 in arterial tissues ( p = 9.4 × 10 −7 ) and DNA methylation at probe cg16596957 in whole blood ( p = 5.3 × 10 −6 ). Interpretation 16q24.2 is associated with SVS. Associations of the locus with expression of ZCCHC14 and DNA methylation suggest the locus acts through changes to regulatory elements. Ann Neurol 2017;81:383–394
Genetic variants in CETP increase risk of intracerebral hemorrhage
Anderson, Christopher D. , Falcone, Guido J. , Phuah, Chia‐Ling , Radmanesh, Farid , Brouwers, H. Bart , Battey, Thomas W.K., Biffi, Alessandro , Liu, Dajiang J. , Viswanathan, Anand , Greenberg, Steven M. , Brown, Devin L. , Worrall, Bradford B. , Silliman, Scott, Tirschwell, David , Flaherty, Matthew L. , Kraft, Peter , Jagiełła, Jeremiasz , Schmidt, Helena , Hansen, Björn M. , Jiménez-Conde, Jordi , Giralt‐Steinhauer, Eva , Elosúa, Roberto , Cuadrado‐Godia, Elisa , Soriano‐Tárraga, Carolina , Nieuwenhuizen, Koen M. van , Klijn, Catharina J.M. , Rannikmäe, Kristiina , Samarasekera, Neshika , Salman, Rustam Al‐Shahi , Sudlow, Catherine L., Deary, Ian J. , Morotti, Andrea , Pezzini, Alessandro , Pera, Joanna , Urbanik, Andrzej, Pichler, Alexander , Montaner, Joan , Fernández‐Cadenas, Israel , Delgado, Pilar , Słowik, Agnieszka , Schmidt, Reinhold, Kidwell, Chelsea S., Kittner, Steven J. , Waddy, Salina P., Langefeld, Carl D. , Kathiresan, Sekar , Woo, Daniel , Sudlow, Cathie , Lee, Chaeyoung , Meschia, James F , van Nieuwenhuizen, Koen M , Peloso, Gina M. , Ayres, Alison M. , Goldstein, Joshua Norkin , Selim, Magdy H. , Meschia, James F. , Enzinger, Christian , Norrving, Bo , Roquer, Jaume , Lindgren, Arne G. , Abecasis, Gonçalo R. , Willer, Cristen J , Rosand, Jonathan M. , Kraft, Peter , Montaner, Joan , Pezzini, Alessandro , Al-Shahi Salman, Rustam

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Annals of Neurology | September 22, 2016 | Volume: 80 | Issue: 5 | Pages: 730-740

10.1002/ana.24780 | PMID 27717122 Get It

ObjectiveIn observational epidemiologic studies, higher plasma high‐density lipoprotein cholesterol (HDL‐C) has been associated with increased risk of intracerebral hemorrhage (ICH). DNA sequence variants that decrease cholesteryl ester transfer protein (CETP) gene activity increase plasma HDL‐C; as such, medicines that inhibit CETP and raise HDL‐C are in clinical development. Here, we test the hypothesis that CETP DNA sequence variants associated with higher HDL‐C also increase risk for ICH.MethodsWe performed 2 candidate‐gene analyses of CETP. First, we tested individual CETP variants in a discovery cohort of 1,149 ICH cases and 1,238 controls from 3 studies, followed by replication in 1,625 cases and 1,845 controls from 5 studies. Second, we constructed a genetic risk score comprised of 7 independent variants at the CETP locus and tested this score for association with HDL‐C as well as ICH risk.ResultsTwelve variants within CETP demonstrated nominal association with ICH, with the strongest association at the rs173539 locus (odds ratio [OR] = 1.25, standard error [SE] = 0.06, p = 6.0 × 10−4) with no heterogeneity across studies (I2 = 0%). This association was replicated in patients of European ancestry (p = 0.03). A genetic score of CETP variants found to increase HDL‐C by ∼2.85mg/dl in the Global Lipids Genetics Consortium was strongly associated with ICH risk (OR = 1.86, SE = 0.13, p = 1.39 × 10−6).InterpretationGenetic variants in CETP associated with increased HDL‐C raise the risk of ICH. Given ongoing therapeutic development in CETP inhibition and other HDL‐raising strategies, further exploration of potential adverse cerebrovascular outcomes may be warranted. Ann Neurol 2016;80:730–740
Meta-Analysis of Genome-Wide Association Studies Identifies Genetic Risk Factors for Stroke in African Americans
Carty, Cara L. , Keene, Keith L. , Cheng, Yu-Ching , Chen, Wei‐Min , Nalls, Mike A., Bis, Joshua C. , Kittner, Steven J. , Rich, Stephen S. , Tajuddin, Salman M. , Zonderman, Alan B. , Evans, Michele K. , Langefeld, Carl D. , Gottesman, Rebecca F., Shahar, Eyal , Woo, Daniel , Yaffe, Kristine , Sale, Michèle M. , Dichgans, Martin , Longstreth, W. T., Mitchell, Braxton D. , Reiner, Alex P. , Worrall, Bradford B. , Fornage, Myriam , Nalls, Mike, Tajuddin, Salman, Reiner, Alexander, Meschia, James F. , Mosley, Thomas H. , Liu, Ching‐Ti , Malik, Rainer , Psaty, Bruce M. , Kooperberg, Charles , Dichgans, Martin , Rich, Stephen S , Mitchell, Braxton D

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Stroke | June 18, 2015 | Volume: 46 | Issue: 8 | Pages: 2063-2068

10.1161/strokeaha.115.009044 | PMID 26089329 Get It

Background and Purpose— The majority of genome-wide association studies (GWAS) of stroke have focused on European-ancestry populations; however, none has been conducted in African Americans, despite the disproportionately high burden of stroke in this population. The Consortium of Minority Population Genome-Wide Association Studies of Stroke (COMPASS) was established to identify stroke susceptibility loci in minority populations. Methods— Using METAL, we conducted meta-analyses of GWAS in 14 746 African Americans (1365 ischemic and 1592 total stroke cases) from COMPASS, and tested genetic variants with P <10 −6 for validation in METASTROKE, a consortium of ischemic stroke genetic studies in European-ancestry populations. We also evaluated stroke loci previously identified in European-ancestry populations. Results— The 15q21.3 locus linked with lipid levels and hypertension was associated with total stroke (rs4471613; P =3.9×10 −8 ) in African Americans. Nominal associations ( P <10 −6 ) for total or ischemic stroke were observed for 18 variants in or near genes implicated in cell cycle/mRNA presplicing ( PTPRG , CDC5L ), platelet function ( HPS4 ), blood–brain barrier permeability ( CLDN17 ), immune response ( ELTD1, WDFY4 , and IL1F10-IL1RN ), and histone modification ( HDAC9 ). Two of these loci achieved nominal significance in METASTROKE: 5q35.2 ( P =0.03), and 1p31.1 ( P =0.018). Four of 7 previously reported ischemic stroke loci ( PITX2, HDAC9, CDKN2A/CDKN2B , and ZFHX3 ) were nominally associated ( P <0.05) with stroke in COMPASS. Conclusions— We identified a novel genetic variant associated with total stroke in African Americans and found that ischemic stroke loci identified in European-ancestry populations may also be relevant for African Americans. Our findings support investigation of diverse populations to identify and characterize genetic risk factors, and the importance of shared genetic risk across populations.
Hemicraniectomy and Durotomy Upon Deterioration From Infarction-Related Swelling Trial
Frank, Jeffrey I., Schumm, L. Philip , Chyatte, Douglas, Rosengart, Axel J., Kordeck, Christi , Thisted, Ronald A., Trialists, HeADDFIRST, Bernardini, Gary L., Andrefsky, John, Krieger, Derk , Elkind, Mitchell S.V. , Coplin, William M., Graffagnino, Carmelo , Biller, José , Cruz‐Flores, Salvador , Brock, David G., Verro, Piero, Woo, Daniel , Suárez, José I. , LaMonte, Marian P. , Wroblewski, Kristen , Trialists, HeADDFIRST, Wang, David , Demchuk, Andrew M. , Pettigrew, Luther Creed

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Stroke | January 15, 2014 | Volume: 45 | Issue: 3 | Pages: 781-787

10.1161/strokeaha.113.003200 | PMID 24425122 Get It

Background and Purpose— Hemicraniectomy and Durotomy Upon Deterioration From Infarction-Related Swelling Trial (HeADDFIRST) was a randomized pilot study to obtain information necessary to design a Phase III trial to evaluate the benefit of surgical decompression for brain swelling from large supratentorial cerebral hemispheric infarction. Methods— All patients with stroke were screened for eligibility (age 18–75 years, National Institutes of Health Stroke Scale ≥18 with Item 1a<2 [responsive to minor stimulation], and CT demonstrating unilateral, complete middle cerebral artery territory infarction by specific imaging criteria). All enrolled patients were treated using a standardized medical treatment protocol. Those with both ≥4 mm of pineal shift and deterioration in level of arousal or ≥7.5 mm of anteroseptal shift within 96 hours of stroke onset were randomized to continued medical treatment only or medical treatment plus surgery. Death at 21 days was the primary outcome measure. Results— Among 4909 screened patients, only 66 (1.3%) patients were eligible for HeADDFIRST. Forty patients were enrolled, and 26 patients developed the requisite brain swelling for randomization. All who failed to meet randomization criteria were alive at 21 days. Mortality at 21 and 180 days was 40% (4/10) in the medical treatment only and 21% (3/14) and 36% (5/14) in the medical treatment plus surgery arms, respectively. Conclusions— HeADDFIRST randomization criteria effectively distinguished low from high risk of death from large supratentorial cerebral hemispheric infarction. Lower mortality in the medical treatment only group than in other published trials suggests a possible benefit to standardizing medical management. These results can inform the interpretation of recently completed European trials concerning patient selection and medical management. Clinical Trial Registration— This trial was not registered because enrollment began before July 1, 2005.
Stroke Genetics Network (SiGN) Study
Arnett, Donna K. , Ay, Hakan , Brown, Robert D. , Benavente, Oscar, Bakker, Paul I. W. de , Dichgans, Martin , Doheny, Kimberly F. , Fornage, Myriam , Grewal, Raji P., Gwinn, Katrina , Conde, Jordi Jiménez, Johnson, Julie A. , Laurie, Cathy C. , Lee, Jin‐Moo , Lindgren, Arne, Markus, Hugh S. , McArdle, Patrick F. , McClure, Leslie A. , Mitchell, Braxton D. , Schmidt, Reinhold , Rexrode, Kathryn M. , Rich, Stephen S. , Rothwell, Peter M. , Sacco, Ralph L., Shuldiner, Alan R. , Słowik, Agnieszka , Sudlow, Cathie , Thijs, Vincent , Woo, Daniel , Worrall, Bradford B. , Wu, Ona , Kittner, Steven J. , collaborators, The SiGN study also includes the following, Anderson, Christopher D. , Andrén, Kerstin , Barrett, Kevin M. , Benner, Thomas, Bentley, Paul , Bevan, Steven, Biffi, Alessandro , Chapman, Sherita , Cheng, Yu‐Ching, Delavaran, Hossein , Gamble, Dale M., Giralt, Eva, Grazer, Anja, Gschwendtner, Andreas, Hegge, Caityln, Heitsch, Laura , Helenius, Johanna, Huq, Mohammed Saiful, Irie, Robert E., Jackson, Rebecca D. , Katschnig, Petra , Katsnelson, Michael , Khoury, Naïm , Kilinc, Selma, Kumar, Gyanendra, Langefeld, Carl D. , Lemmens, Robin , Malik, Shaneela , Melander, Olle , Nordström, Sara , Ois, Ángel , Ossi, Raid G., Peddareddygari, Leema Reddy , Pedersén, Annie , Pucek, Mateusz, Redfors, Petra , Rhodes, J. , Saraf, Neha, Schuerks, Markus, Seiler, Stephan , Sheikh, Huma U., Sparks, Mary J., Stoegerer, Eva, Temple, Ella, Valenti, Raffaella , Weir, David R. , Weissman, Darren, Woodfield, Rebecca, Yiin, Gabriel , Soliman, Elsayed Z. , Cushman, Mary , Kumar, Gyanendra , Bevan, Steve , Meschia, James F. , Cole, John W. , Jern, Christina , Jood, Katarina , Lindgren, Arne, Rosand, Jonathan M. , Rundek, Tatjana , Sharma, Pankaj Kumar , Wassertheil-Smoller, Sylvia W , collaborators, The SiGN study also includes the following, Andsberg, Gunnar , Arsava, Ethem Murat , Bevan, Steven, Brenner, David A. , Deline, Chris A. , Dziedzic, Tomasz , Holmegaard, Lukas , Kilinc, Selma, Kumar, Gyanendra, Labovitz, Daniel , Lanfranconi, Silvia , Li, Linxin , Norrving, Bo , Pera, Joanna , Rannikmäe, Kristiina , Ribasés, Marta , Southerland, Andrew M. , Sunyer, Jordi , Dichgans, Martin , Rich, Stephen S , Lemmens, Robin , Mitchell, Braxton D , Shuldiner, Alan R , Arnett, Donna K , Wu, Ona , Lee, Jin-Moo

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Stroke | September 11, 2013 | Volume: 44 | Issue: 10 | Pages: 2694-2702

10.1161/strokeaha.113.001857 | PMID 24021684 Get It

Background and Purpose— Meta-analyses of extant genome-wide data illustrate the need to focus on subtypes of ischemic stroke for gene discovery. The National Institute of Neurological Disorders and Stroke SiGN (Stroke Genetics Network) contributes substantially to meta-analyses that focus on specific subtypes of stroke. Methods— The National Institute of Neurological Disorders and Stroke SiGN includes ischemic stroke cases from 24 genetic research centers: 13 from the United States and 11 from Europe. Investigators harmonize ischemic stroke phenotyping using the Web-based causative classification of stroke system, with data entered by trained and certified adjudicators at participating genetic research centers. Through the Center for Inherited Diseases Research, the Network plans to genotype 10 296 carefully phenotyped stroke cases using genome-wide single nucleotide polymorphism arrays and adds to these another 4253 previously genotyped cases, for a total of 14 549 cases. To maximize power for subtype analyses, the study allocates genotyping resources almost exclusively to cases. Publicly available studies provide most of the control genotypes. Center for Inherited Diseases Research–generated genotypes and corresponding phenotypes will be shared with the scientific community through the US National Center for Biotechnology Information database of Genotypes and Phenotypes, and brain MRI studies will be centrally archived. Conclusions— The Stroke Genetics Network, with its emphasis on careful and standardized phenotyping of ischemic stroke and stroke subtypes, provides an unprecedented opportunity to uncover genetic determinants of ischemic stroke.
Genetics of Stroke
Woo, Daniel , Meschia, James F.

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Stroke | May 24, 2013 | Volume: 44 | Issue: 6_suppl_1 | Pages: No page available

10.1161/strokeaha.112.680041 | PMID 23709714 Get It

Familial Intracranial Aneurysms
Brown, Robert D., Moomaw, Charles J. , Hornung, Richard, Sauerbeck, Laura, Woo, Daniel, Kleindorfer, Dawn , Flaherty, Matthew L. , Meissner, Irene, Anderson, Craig S. , Connolly, E. Sander , Deka, Ranjan , Koller, Daniel L., Abruzzo, Todd , Investigators, For the FIA, Derdeyn, Colin P. , Mackey, Jason S. , Foroud, Tatiana , Gandhi, Dheeraj , Rouleau, Guy Armand , Huston, John , Broderick, Joseph P. , Investigators, For the FIA, Derdeyn, Colin P

Mayo Clinic

Stroke | November 30, 2012 | Volume: 44 | Issue: 1 | Pages: 38-42

10.1161/strokeaha.112.667261 | PMID 23204049 Get It

Background and Purpose— Previous studies have suggested that family members with intracranial aneurysms (IAs) often harbor IAs in similar anatomic locations. IA location is important because of its association with rupture. We tested the hypothesis that anatomic susceptibility to IA location exists using a family-based IA study. Methods— We identified all affected probands and first-degree relatives (FDRs) with a definite or probable phenotype in each family. We stratified each IA of the probands by major arterial territory and calculated each family’s proband-FDR territory concordance and overall contribution to the concordance analysis. We then matched each family unit to an unrelated family unit selected randomly with replacement and performed 1001 simulations. The median concordance proportions, odds ratios (ORs), and P values from the 1001 logistic regression analyses were used to represent the final results of the analysis. Results— There were 323 family units available for analysis, including 323 probands and 448 FDRs, with a total of 1176 IAs. IA territorial concordance was higher in the internal carotid artery (55.4% versus 45.6%; OR, 1.54 [1.04–2.27]; P =0.032), middle cerebral artery (45.8% versus 30.5%; OR, 1.99 [1.22–3.22]; P =0.006), and vertebrobasilar system (26.6% versus 11.3%; OR, 2.90 [1.05–8.24], P =0.04) distributions in the true family compared with the comparison family. Concordance was also higher when any location was considered (53.0% versus 40.7%; OR, 1.82 [1.34–2.46]; P <0.001). Conclusions— In a highly enriched sample with familial predisposition to IA development, we found that IA territorial concordance was higher when probands were compared with their own affected FDRs than with comparison FDRs, which suggests that anatomic vulnerability to IA formation exists. Future studies of IA genetics should consider stratifying cases by IA location.