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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

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.
Validation of cell‐based fluorescence assays: Practice guidelines from the ICSH and ICCS – part V – assay performance criteria
Jevremović, Dragan , Béné, Marie C. , Yan, Ming , Jacobs, Patrick L., Litwin, Virginia , Group, ; on behalf of ICSH/ICCS Working, Wood, Brent L. , Group, ; on behalf of ICSH/ICCS Working, Jevremovic, Dragan

Cytometry Part B: Clinical Cytometry | September 11, 2013 | Volume: 84 | Issue: 5 | Pages: 315-323

10.1002/cyto.b.21108 | PMID 24022854 Get It

Multi‐color flow cytometry is a unique technology, which enables the analysis of heterogeneous cellular systems and provides multiparametric information on a cell‐by‐cell basis. A variety of factors contribute to the complexity of validating cell‐based flow cytometric methods, including the lack of fully characterized cellular reference materials and the difficulty in obtaining, or creating, samples with varying levels of a given cell type or varying levels of expression of a given antigen. This document summarizes validation requirements and describes validation strategies for quasi‐quantitative and qualitative cell‐based flow cytometric assays. © 2013 International Clinical Cytometry Society
Prognostic Impact of Deficient DNA Mismatch Repair in Patients With Stage III Colon Cancer From a Randomized Trial of FOLFOX-Based Adjuvant Chemotherapy
Mahoney, Michelle R., Smyrk, Thomas C. , Thibodeau, Stephen N. , Warren, Robert S. , Nelson, Garth D. , Goldberg, Richard M. , Sinicrope, Frank A. , Bertagnolli, Monica M. , Sargent, Daniel J. , Alberts, Steven R.

Journal of Clinical Oncology | September 10, 2013 | Volume: 31 | Issue: 29 | Pages: 3664-3672

10.1200/jco.2013.48.9591 | PMID 24019539 Get It

PurposeThe association of deficient DNA mismatch repair (dMMR) with prognosis in patients with colon cancer treated with adjuvant fluorouracil, leucovorin, and oxaliplatin (FOLFOX) chemotherapy remains unknown.Patients and MethodsResected, stage III colon carcinomas from patients (N = 2,686) randomly assigned to FOLFOX ± cetuximab (North Central Cancer Treatment Group N0147 trial) were analyzed for mismatch repair (MMR) protein expression and mutations in BRAFV600E(exon 15) and KRAS (codons 12 and 13). Association of biomarkers with disease-free survival (DFS) was determined using Cox models. A validation cohort (Cancer and Leukemia Group B 88903 trial) was used.ResultsdMMR was detected in 314 (12%) of 2,580 tumors, of which 49.3% and 10.6% had BRAFV600Eor KRAS mutations, respectively. MMR status was not prognostic overall (adjusted hazard ratio [HR], 0.82; 95% CI, 0.64 to 1.07; P = .14), yet significant interactions were found between MMR and primary tumor site (Pinteraction= .009) and lymph node category (N1 v N2; Pinteraction= .014). Favorable DFS was observed for dMMR versus proficient MMR proximal tumors (HR, 0.71; 95% CI, 0.53 to 0.94; P = .018) but not dMMR distal tumors (HR, 1.71; 95% CI, 0.99 to 2.95; P = .056), adjusting for mutations and covariates. Any survival benefit of dMMR was lost in N2 tumors. Mutations in BRAFV600E(HR, 1.37; 95% CI, 1.08 to 1.70; P = .009) or KRAS (HR, 1.44; 95% CI, 1.21 to 1.70; P < .001) were independently associated with worse DFS. The observed MMR by tumor site interaction was validated in an independent cohort of stage III colon cancers (Pinteraction= .037).ConclusionThe prognostic impact of MMR depended on tumor site, and this interaction was validated in an independent cohort. Among dMMR cancers, proximal tumors had favorable outcome, whereas distal or N2 tumors had poor outcome. BRAF or KRAS mutations were independently associated with adverse outcome.
Mentoring Interdisciplinary Research Teams for the Study of Sex and Gender Differences in Health and Disease
Miller, Virginia M. , Bahn, Rebecca S.

Global Advances in Health and Medicine | September 3, 2013 | Volume: 2 | Issue: 5 | Pages: 109-112

10.7453/gahmj.2013.057 | PMID 24278849 Get It

Glycolytic fast‐twitch muscle fiber restoration counters adverse age‐related changes in body composition and metabolism
Akasaki, Yuichi , Ouchi, Noriyuki , Bernardo, Barbara , LeBrasseur, Nathan K. , Izumiya, Yasuhiro , Walsh, Kenneth , LeBrasseur, Nathan K

Aging Cell | August 23, 2013 | Volume: 13 | Issue: 1 | Pages: 80-91

10.1111/acel.12153 | PMID 24033924 Get It

Summary Aging is associated with the development of insulin resistance, increased adiposity, and accumulation of ectopic lipid deposits in tissues and organs. Starting in mid‐life there is a progressive decline in lean muscle mass associated with the preferential loss of glycolytic, fast‐twitch myofibers. However, it is not known to what extent muscle loss and metabolic dysfunction are causally related or whether they are independent epiphenomena of the aging process. Here, we utilized a skeletal‐muscle‐specific, conditional transgenic mouse expressing a constitutively active form of A kt1 to examine the consequences of glycolytic, fast‐twitch muscle growth in young vs. middle‐aged animals fed standard low‐fat chow diets. Activation of the A kt1 transgene led to selective skeletal muscle hypertrophy, reversing the loss of lean muscle mass observed upon aging. The A kt1‐mediated increase in muscle mass led to reductions in fat mass and hepatic steatosis in older animals, and corrected age‐associated impairments in glucose metabolism. These results indicate that the loss of lean muscle mass is a significant contributor to the development of age‐related metabolic dysfunction and that interventions that preserve or restore fast/glycolytic muscle may delay the onset of metabolic disease.
Phase II Trial of Bicalutamide in Patients with Androgen Receptor–Positive, Estrogen Receptor–Negative Metastatic Breast Cancer
Gucalp, Ayca , Tolaney, Sara M. , Isakoff, Steven J. , Liu, Minetta C. , Blackwell, Kimberly , Forero, Andres , Stearns, Vered , Doane, Ashley S. , Danso, Michael A., Moynahan, Mary Ellen , Momen, Lamia F., Gonzalez, Joseph M., Akhtar, Arooj, Giri, Dilip D. , Feigin, Kimberly , Hudis, Clifford A. , Ingle, James N. , Carey, Lisa A. , Rugo, Hope S. , Nabell, Lisle M. , Patil, Sujata N , Traina, Tiffany A , Stearns, Vered

Clinical Cancer Research | August 22, 2013 | Volume: 19 | Issue: 19 | Pages: 5505-5512

10.1158/1078-0432.ccr-12-3327 | PMID 23965901 Get It

Abstract Purpose: Patients with hormone receptor–negative breast cancer generally do not benefit from endocrine-targeted therapies. However, a subset with androgen receptor (AR) expression is predicted to respond to antiandrogen therapies. This phase II study explored bicalutamide in AR-positive, estrogen receptor (ER), and progesterone receptor (PgR)-negative metastatic breast cancer. Experimental Design: Tumors from patients with ER/PgR-negative advanced breast cancer were tested centrally for AR [immunohistochemistry (IHC) &gt; 10% nuclear staining considered positive]. If either the primary or a metastatic site was positive, patients were eligible to receive the AR antagonist bicalutamide at a dose of 150 mg daily. Clinical benefit rate (CBR), the primary endpoint, was defined as the total number of patients who show a complete response (CR), partial response (PR), or stable disease (SD) &gt; 6 months; secondary endpoints included progression-free survival (PFS) and toxicity. Correlative studies included measurement of circulating endocrine markers and IHC surrogates for basal-like breast cancer. Results: Of 424 patients with ER/PgR-negative breast cancer, 12% tested AR-positive. The 6-month CBR was 19% [95% confidence interval (CI), 7%–39%] for bicalutamide. The median PFS was 12 weeks (95% CI, 11–22 weeks). Bicalutamide was well-tolerated with no grade 4/5 treatment-related adverse events observed. Conclusion: AR was expressed in 12% of patients with ER/PgR-negative breast cancer screened for this trial. The CBR of 19% observed with bicalutamide shows proof of principle for the efficacy of minimally toxic androgen blockade in a select group of patients with ER/PgR-negative, AR-positive breast cancer. Clin Cancer Res; 19(19); 5505–12. ©2013 AACR.
Pleiotropic effects of genetic risk variants for other cancers on colorectal cancer risk: PAGE, GECCO and CCFR consortia
Kocarnik, Jonathan , Lindor, Noralane M. , Chang‐Claude, Jenny , Caberto, Christian, Love, Shelly-Ann, Slattery, Martha L. , Hindorff, Lucia A. , Park, Sungshim Lani, Schumacher, Fredrick R. , Hoffmeister, Michael , Duggan, David , Hou, Lifang , Carlson, Chris , Carty, Cara L. , Mann, Sue, Giovannucci, Edward L. , Fuchs, Charles S. , Jenkins, Mark A. , Haile, Robert W. , Conti, David V. , Potter, John D. , Caan, Bette J. , Hayes, Richard B. , Berndt, Sonja I. , Küry, Sébastien , Bezieau, Stéphane , Ambite, José Luis , Kumaraguruparan, Gowri, Richardson, Danielle , Goodloe, Robert, Dilks, Holli H., Baker, Paxton, Zanke, Brent W., Lemire, Mathieu , Gallinger, Steven , Jiao, Shuo , Harrison, Tabitha A. , Seminara, Daniela, Haiman, Christopher A. , Hutter, Carolyn M., Crawford, Dana C. , Heiss, Gerardo , Brenner, Hermann , Bush, William S. , Casey, Graham , Peters, Ulrike , Cheng, Iona C. , Dumitrescu, Logan , Avery, Christy L. , Chan, Andrew T. , Baron, John A. , Kraft, Peter , Butler, Anne Marie E. , Monroe, Kristine R. , Lin, Yi , Ma, Jing , Newcomb, Polly A. , Hopper, John L. , Campbell, Peter T. , Schoen, Robert E. , Chanock, Stephen Jacob , Hsu, Li , Kooperberg, Charles , Wilkens, Lynne R. , White, Emily E. , Hudson, Thomas J , Marchand, Loı̈c Le , Hoffmeister, Michael , Jenkins, Mark A , Haile, Robert W , Harrison, Tabitha A , Potter, John D , Kury, Sebastien , Brenner, Hermann , Hayes, Richard B , Bézieau, Stéphane , Conti, David V , Hou, Lifang , Caan, Bette J , Bush, William S

Gut | August 10, 2013 | Volume: 63 | Issue: 5 | Pages: 800-807

10.1136/gutjnl-2013-305189 | PMID 23935004 Get It

Objective Genome-wide association studies have identified a large number of single nucleotide polymorphisms (SNPs) associated with a wide array of cancer sites. Several of these variants demonstrate associations with multiple cancers, suggesting pleiotropic effects and shared biological mechanisms across some cancers. We hypothesised that SNPs previously associated with other cancers may additionally be associated with colorectal cancer. In a large-scale study, we examined 171 SNPs previously associated with 18 different cancers for their associations with colorectal cancer. Design We examined 13 338 colorectal cancer cases and 40 967 controls from three consortia: Population Architecture using Genomics and Epidemiology (PAGE), Genetic Epidemiology of Colorectal Cancer (GECCO), and the Colon Cancer Family Registry (CCFR). Study-specific logistic regression results, adjusted for age, sex, principal components of genetic ancestry, and/or study specific factors (as relevant) were combined using fixed-effect meta-analyses to evaluate the association between each SNP and colorectal cancer risk. A Bonferroni-corrected p value of 2.92×10 −4 was used to determine statistical significance of the associations. Results Two correlated SNPs—rs10090154 and rs4242382—in Region 1 of chromosome 8q24, a prostate cancer susceptibility region, demonstrated statistically significant associations with colorectal cancer risk. The most significant association was observed with rs4242382 (meta-analysis OR=1.12; 95% CI 1.07 to 1.18; p=1.74×10 −5 ), which also demonstrated similar associations across racial/ethnic populations and anatomical sub-sites. Conclusions This is the first study to clearly demonstrate Region 1 of chromosome 8q24 as a susceptibility locus for colorectal cancer; thus, adding colorectal cancer to the list of cancer sites linked to this particular multicancer risk region at 8q24.
Research on the Premotor Symptoms of Parkinson’s Disease: Clinical and Etiological Implications
Chen, Honglei , Ross, G. Webster , Huang, Xuemei , Savica, Rodolfo , Abbott, Robert D. , Ascherio, Alberto , Caviness, John N., Gao, Xiang , Gray, Kimberly , Hong, Jau‐Shyong , Kamel, Freya , Jennings, Danna , Kirshner, Annette, Lawler, Cindy P., Liu, Rui , Nussbaum, Robert , Peddada, Shyamal D. , Rick, Amy Comstock, Ritz, Beate , Siderowf, Andrew , Tröster, Alexander I. , Zhang, Jing , Burton, Edward A. , Miller, Gary W. , Tanner, Caroline M.

Environmental Health Perspectives | August 9, 2013 | Volume: 121 | Issue: 11-12 | Pages: 1245-1252

10.1289/ehp.1306967 | PMID 23933572 Get It

Abstract Background: The etiology and natural history of Parkinson’s disease (PD) are not well understood. Some non-motor symptoms such as hyposmia, rapid eye movement sleep behavior disorder, and constipation may develop during the prodromal stage of PD and precede PD diagnosis by years. Objectives: We examined the promise and pitfalls of research on premotor symptoms of PD and developed priorities and strategies to understand their clinical and etiological implications. Methods: This review was based on a workshop, Parkinson’s Disease Premotor Symptom Symposium, held 7–8 June 2012 at the National Institute of Environmental Health Sciences in Research Triangle Park, North Carolina. Discussion: Research on premotor symptoms of PD may offer an excellent opportunity to characterize high-risk populations and to better understand PD etiology. Such research may lead to evaluation of novel etiological hypotheses such as the possibility that environmental toxicants or viruses may initiate PD pathogenesis in the gastrointestinal tract or olfactory bulb. At present, our understanding of premotor symptoms of PD is in its infancy and faces many obstacles. These symptoms are often not specific to PD and have low positive predictive value for early PD diagnosis. Further, the pathological bases and biological mechanisms of these premotor symptoms and their relevance to PD pathogenesis are poorly understood. Conclusion: This is an emerging research area with important data gaps to be filled. Future research is needed to understand the prevalence of multiple premotor symptoms and their etiological relevance to PD. Animal experiments and mechanistic studies will further understanding of the biology of these premotor symptoms and test novel etiological hypothesis. Citation: Chen H, Burton EA, Ross GW, Huang X, Savica R, Abbott RD, Ascherio A, Caviness JN, Gao X, Gray KA, Hong JS, Kamel F, Jennings D, Kirshner A, Lawler C, Liu R, Miller GW, Nussbaum R, Peddada SD, Comstock Rick A, Ritz B, Siderowf AD, Tanner CM, Tröster AI, Zhang J. 2013. Research on the premotor symptoms of Parkinson’s Disease: clinical and etiological implications. Environ Health Perspect 121:1245–1252; http://dx.doi.org/10.1289/ehp.1306967
Abstract 43: The Colon Cancer Family Registry: A major resource for post-GWAS gene-environment studies.
Lindor, Noralane M. , Gallinger, Steven, John, Hopper L., Casey, Graham , Win, Aung Ko , Buchanan, Daniel D. , Haile, Robert W. , Newcomb, Polly A. , Marchand, Loı̈c Le , Jenkins, Mark A.

Cancer Epidemiology, Biomarkers & Prevention | August 5, 2013 | Volume: 21 | Issue: 11_Supplement | Pages: 43-43

10.1158/1055-9965.gwas-43 Get It

Abstract Background: The Colorectal Cancer Family Registry (Colon CFR) has served as an international resource for studies of the genetics and epidemiology of colorectal cancer (CRC) since 1997. It is the largest family-based resource in the world for the study of CRC and other cancers, such as endometrial cancer, that occur in CRC families. The Colon CFR has recruited participants via six institutions: Cancer Care Ontario, Fred Hutchinson Cancer Research Center, Mayo Clinic, University of Hawaii, University of Southern California Consortium, and University of Melbourne. Methods: CRC cases were recruited from both population-based cancer registries and family cancer clinics. Controls were recruited from population-based sources. Relatives were recruited via cases and controls. Participants were asked to: donate a blood sample; give permission to access any tumor tissue; complete a detailed personal and family history of cancer including degree of relationship, site of cancer and age of diagnosis; and complete a detailed baseline lifestyle questionnaire that was administered across all recruitment sites, which included items on established and suspected risk factors for colorectal cancer: personal characteristics including age, sex, height and weight, country of birth, ethnicity, race and religion; history of exercise, alcohol consumption and smoking; medication use including NSAIDs, cholesterol-lowering agents, diabetes medication and post- menopausal hormone use; history of colorectal cancer screening including fecal occult blood test, sigmoidoscopy, colonoscopy; personal history of surgery including polypectomy, other bowel surgery and hysterectomy; frequency of meat consumption and method of cooking; reproductive history (for women). Participants were also asked for detail information on the frequency of food consumption and portion size using a food frequency questionnaire. Follow-up of participants has been conducted every five years, by questionnaire, to update vital status, surgery, cancer screening, polypectomy, and personal and family history of cancer history. Participants have been characterized for major known predisposing CRC gene mutations and have undergone a genome-wide SNP testing and tested for known CRC SNPs. Results: The Colon CFR has enrolled 35,297 participants (11,635 affected with CRC, 3,629 affected with other cancers, and 20,033 unaffected) who have completed baseline questionnaires. We have 5-year follow-up data on 24,692 participants (6,329 affected with CRC, 2,261 affected with other cancers, and 16,102 unaffected) and 10-year follow-up data on 10,467 (3,654 affected with CRC, 1,182 affected with other cancers, and 5,631 unaffected). We have GWAS data on 3,830 participants, candidate SNP data on 18,000 participants, and mismatch repair gene mutation data on 2,697 participants (and observed 1,697 carriers with a deleterious mutation). Conclusion: This largest and best characterized CRC cohort in the world will facilitate post-GWAS research to provide insight into the role of environmental factors, and how they interact with genetic factors on CRC risk. Researchers are encouraged by the National Cancer Institute (USA) and the Colon CFR investigators to apply for access to this unique resource of data and biospecimens for collaborative research. Citation Format: Aung Ko Win, Daniel D. Buchanan, Noralane M. Lindor, Robert W. Haile, Polly A. Newcomb, Loic Le Marchand, Steven Gallinger, Hopper L. John, Casey Graham, Mark A. Jenkins. The Colon Cancer Family Registry: A major resource for post-GWAS gene-environment studies. [abstract]. In: Proceedings of the AACR Special Conference on Post-GWAS Horizons in Molecular Epidemiology: Digging Deeper into the Environment; 2012 Nov 11-14; Hollywood, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2012;21(11 Suppl):Abstract nr 43.