381 results on '"Mitchell, B. D."'
Search Results
2. Polygenic risk score associates with atherosclerosis severity at autopsy
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Cornelissen, A, primary, Gadhoke, N V, additional, Ryan, K, additional, Hodonsky, C J, additional, Duong, T V, additional, Dikongue, A, additional, Sakamoto, A, additional, Sato, Y, additional, Miller, C L, additional, Hong, C C, additional, Arking, D E, additional, Mitchell, B D, additional, Guo, L, additional, Virmani, R, additional, and Finn, A V, additional
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- 2022
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3. Heritability of young- and old-onset ischaemic stroke
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Bluher, A., Devan, W. J., Holliday, E. G., Nalls, M., Parolo, S., Bione, S., Giese, A.-K., Boncoraglio, G. B., Maguire, J. M., Müller-Nurasyid, M., Gieger, C., Meschia, J. F., Rosand, J., Rolfs, A., Kittner, S. J., Mitchell, B. D., OʼConnell, J. R., and Cheng, Y.-C.
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- 2015
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4. Genetic influences on bone loss in the San Antonio Family Osteoporosis study
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Shaffer, J. R., Kammerer, C. M., Bruder, J. M., Cole, S. A., Dyer, T. D., Almasy, L., MacCluer, J. W., Blangero, J., Bauer, R. L., and Mitchell, B. D.
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- 2008
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5. Relationship between Vascular Calcification and Bone Mineral Density in the Old-Order Amish
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Shen, H., Bielak, L. F., Streeten, E. A., Ryan, K. A., Rumberger, J. A., Sheedy, II, P. F., Shuldiner, A. R., Peyser, P. A., and Mitchell, B. D.
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- 2007
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6. Detailed phenotyping of posterior vs. anterior circulation ischemic stroke: a multi-center MRI study
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Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Frid, Petrea, Drake, Mattias, Giese, A. K., Wasselius, J., Schirmer, Markus, Donahue, K. L., Cloonan, L., Irie, R., Bouts, M. J. R. J., McIntosh, E. C., Mocking, S. J. T., Dalca, Adrian Vasile, Sridharan, Ramesh, Xu, H., Giralt-Steinhauer, E., Holmegaard, L., Jood, K., Roquer, J., Cole, J. W., McArdle, P. F., Broderick, J. P., Jimenez-Conde, J., Jern, C., Kissela, B. M., Kleindorfer, D. O., Lemmens, R., Meschia, J. F., Rundek, T., Sacco, R. L., Schmidt, R., Sharma, P., Slowik, A., Thijs, V., Woo, D., Worrall, B. B., Kittner, S. J., Mitchell, B. D., Petersson, J., Rosand, J., Golland, Polina, Wu, O., Rost, N. S., Lindgren, A., Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Frid, Petrea, Drake, Mattias, Giese, A. K., Wasselius, J., Schirmer, Markus, Donahue, K. L., Cloonan, L., Irie, R., Bouts, M. J. R. J., McIntosh, E. C., Mocking, S. J. T., Dalca, Adrian Vasile, Sridharan, Ramesh, Xu, H., Giralt-Steinhauer, E., Holmegaard, L., Jood, K., Roquer, J., Cole, J. W., McArdle, P. F., Broderick, J. P., Jimenez-Conde, J., Jern, C., Kissela, B. M., Kleindorfer, D. O., Lemmens, R., Meschia, J. F., Rundek, T., Sacco, R. L., Schmidt, R., Sharma, P., Slowik, A., Thijs, V., Woo, D., Worrall, B. B., Kittner, S. J., Mitchell, B. D., Petersson, J., Rosand, J., Golland, Polina, Wu, O., Rost, N. S., and Lindgren, A.
- Abstract
Objective Posterior circulation ischemic stroke (PCiS) constitutes 20–30% of ischemic stroke cases. Detailed information about differences between PCiS and anterior circulation ischemic stroke (ACiS) remains scarce. Such information might guide clinical decision making and prevention strategies. We studied risk factors and ischemic stroke subtypes in PCiS vs. ACiS and lesion location on magnetic resonance imaging (MRI) in PCiS. Methods Out of 3,301 MRIs from 12 sites in the National Institute of Neurological Disorders and Stroke (NINDS) Stroke Genetics Network (SiGN), we included 2,381 cases with acute DWI lesions. The definition of ACiS or PCiS was based on lesion location. We compared the groups using Chi-squared and logistic regression. Results PCiS occurred in 718 (30%) patients and ACiS in 1663 (70%). Diabetes and male sex were more common in PCiS vs. ACiS (diabetes 27% vs. 23%, p < 0.05; male sex 68% vs. 58%, p < 0.001). Both were independently associated with PCiS (diabetes, OR = 1.29; 95% CI 1.04–1.61; male sex, OR = 1.46; 95% CI 1.21–1.78). ACiS more commonly had large artery atherosclerosis (25% vs. 20%, p < 0.01) and cardioembolic mechanisms (17% vs. 11%, p < 0.001) compared to PCiS. Small artery occlusion was more common in PCiS vs. ACiS (20% vs. 14%, p < 0.001). Small artery occlusion accounted for 47% of solitary brainstem infarctions. Conclusion Ischemic stroke subtypes differ between the two phenotypes. Diabetes and male sex have a stronger association with PCiS than ACiS. Definitive MRI-based PCiS diagnosis aids etiological investigation and contributes additional insights into specific risk factors and mechanisms of injury in PCiS., National Institutes of Health NIBIB (Grant P41EB015902)
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- 2020
7. Bone Mineral Density, Carotid Artery Intimal Medial Thickness, and the Vitamin D Receptor BsmI Polymorphism in Mexican American Women
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Kammerer, C. M., Dualan, A. A., Samollow, P. B., Périssé, A. R. S., Bauer, R. L., MacCluer, J. W., O’Leary, D. H., and Mitchell, B. D.
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- 2004
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8. The CYP2C19*17 variant is not independently associated with clopidogrel response
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Lewis, J. P., Stephens, S. H., Horenstein, R. B., OʼConnell, J. R., Ryan, K., Peer, C. J., Figg, W. D., Spencer, S. D., Pacanowski, M. A., Mitchell, B. D., and Shuldiner, A. R.
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- 2013
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9. Risk factors for Toxoplasma gondii seropositivity in the Old Order Amish
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Markon, A. O., primary, Ryan, K. A., additional, Wadhawan, A., additional, Pavlovich, M., additional, Groer, M. W., additional, Punzalan, C., additional, Gensheimer, K., additional, Jones, J. L., additional, Daue, M. L., additional, Dagdag, A., additional, Donnelly, P., additional, Peng, X., additional, Pollin, T. I., additional, Mitchell, B. D., additional, and Postolache, T. T., additional
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- 2020
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10. Is there an excess in maternal transmission of NIDDM?
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Mitchell, B. D., Kammerer, C. M., Reinhart, L. J., Stern, M. P., and MacCluer, J. W.
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- 1995
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11. Is microalbuminuria part of the prediabetic state? The Mexico City Diabetes Study
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Haffner, S. M., Gonzales, C., Valdez, R. A., Mykkänen, L., Hazuda, H. P., Mitchell, B. D., Monterrosa, A., and Stern, M. P.
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- 1993
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12. Meta-analysis of five genome-wide linkage studies for body mass index reveals significant evidence for linkage to chromosome 8p
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Johnson, L, Luke, A, Deng, H-W, Mitchell, B D, Comuzzie, A G, Cole, S A, Blangero, J, Perola, M, and Teare, M Dawn
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- 2005
13. Macroinvertebrate communities in two salt affected tributaries of the Hopkins Rives, Victoria
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Mitchell, B. D. and Richards, K.
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- 1992
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14. Risk factors for seropositivity in the Old Order Amish.
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Markon, A. O., Ryan, K. A., Wadhawan, A., Pavlovich, M., Groer, M. W., Punzalan, C., Gensheimer, K., Jones, J. L., Daue, M. L., Dagdag, A., Donnelly, P., Peng, X., Pollin, T. I., Mitchell, B. D., and Postolache, T. T.
- Abstract
Toxoplasma gondii (T. gondii) is an important human disease-causing parasite. In the USA, T. gondii infects >10% of the population, accrues economic losses of US$3.6 billion/year, and ranks as the second leading culprit of foodborne illness-related fatalities. We assessed toxoplasmosis risk among the Old Order Amish, a mostly homogenous population with a high prevalence of T. gondii seropositivity, using a questionnaire focusing on food consumption/preparation behaviours and environmental risk factors. Analyses were conducted using multiple logistic regression. Consuming raw meat, rare meat, or unpasteurised cow or goat milk products was associated with increased odds of seropositivity (unadjusted Odds Ratios: 2.192, 1.613, and 1.718 , respectively). In separate models by sex, consuming raw meat, or consuming unpasteurised cow or goat milk products, was associated with increased odds of seropositivity among women; washing hands after touching meat with decreased odds of seropositivity among women (adjusted OR (AOR): 0.462); and cleaning cat litterbox with increased odds of seropositivity among men (AOR: 5.241). This is the first study to assess associations between behavioural and environmental risk factors and T. gondii seropositivity in a US population with high seroprevalence for T. gondii. Our study emphasises the importance of proper food safety behaviours to avoid the risk of infection. [ABSTRACT FROM AUTHOR]
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- 2021
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15. Hyperinsulinaemia: the key feature of a cardiovascular and metabolic syndrome
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Ferrannini, E., Haffner, S. M., Mitchell, B. D., and Stern, M. P.
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- 1991
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16. Novel neuropeptide Y1 and Y5 receptor gene variants: associations with serum triglyceride and high-density lipoprotein cholesterol levels
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Blumenthal, J B, Andersen, R E, Mitchell, B D, Seibert, M J, Yang, H, Herzog, H, Beamer, B A, Franckowiak, S C, and Walston, J D
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- 2002
17. Testing parents of NIDDM patients
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Alcolado, J. C. and Mitchell, B. D.
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- 1995
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18. Association of plasma nitrite levels with obesity and metabolic syndrome in the Old Order Amish
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Akram, F., primary, Fuchs, D., additional, Daue, M., additional, Nijjar, G., additional, Ryan, A., additional, Benros, M. E., additional, Okusaga, O., additional, Baca-Garcia, E., additional, Brenner, L. A., additional, Lowry, C. A., additional, Ryan, K. A., additional, Pavlovich, M., additional, Mitchell, B. D., additional, Snitker, S., additional, and Postolache, T. T., additional
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- 2018
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19. Helmut Heit ; Lisa Heller (Editors). Handbuch Nietzsche und die Wissenschaften . ix + 395 pp., bibls., indexes. Berlin: Walter de Gruyter, 2013. €99.95 (cloth).
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Mitchell, B. D.
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- 2014
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20. Entomostracan Zooplankton Communities of Australian Freshwater Lakes and Ponds
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Mitchell, B. D., Dumont, H. J., editor, De Deckker, Patrick, editor, and Williams, W. D., editor
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- 1986
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21. Evaluation of the Toxicity of Anti-Inflammatory Drugs
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Dodge, P. W., Brodie, D. A., Mitchell, B. D., Vane, John R., editor, and Ferreira, Sergio H., editor
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- 1979
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22. Oxides and Hydrous Oxides of Silicon
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Mitchell, B. D. and Gieseking, John E., editor
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- 1975
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23. High-density association mapping and comprehensive tagging of the type 2 diabetes linkage region on chromosome 1q in 4 European populations
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Prokopenko, I., Zeggini, E., Rayner, N. W., Groves, C. J., Robert Hanson, Mitchell, B. D., Vaxillaire, M., Hunt, S. E., Cardon, L. R., Froguel, P., Elbein, S. C., Shuldiner, A. R., Deloukas, P., and Mccarthy, M. I.
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- 2016
24. The Application of Differential Thermal Analysis to Plant Materials
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MITCHELL, B. D. and KNIGHT, A. H.
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- 1965
25. Erratum: Meta-analysis of five genome-wide linkage studies for body mass index reveals significant evidence for linkage to chromosome 8p
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Johnson, L, Luke, A, Deng, H-W, Mitchell, B D, Comuzzie, A G, Cole, S A, Blangero, J, Perola, M, and Teare, M Dawn
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- 2005
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26. Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants
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Dichgans, M., Malik, R., Konig, I. R., Rosand, J., Clarke, R., Gretarsdottir, S., Thorleifsson, G., Mitchell, B. D., Assimes, T. L., Levi, C., O'Donnell, C. J., Fornage, M., Thorsteinsdottir, U., Psaty, B. M., Hengstenberg, C., Seshadri, S., Erdmann, J., Bis, J. C., Peters, A., Boncoraglio, G. B., Marz, W., Meschia, J. F., Kathiresan, S., Ikram, M. A., McPherson, R., Stefansson, K., Sudlow, C., Reilly, M. P., Thompson, J. R., Sharma, P., Hopewell, J. C., Chambers, J. C., Watkins, H., Rothwell, P. M., Roberts, R., Markus, H. S., Samani, N. J., Farrall, M., Schunkert, H., Gschwendtner, A., Bevan, S., Chen, Y.-C., DeStefano, A. L., Parati, E. A., Quertermous, T., Ziegler, A., Boerwinkle, E., Holm, H., Fischer, M., Kessler, T., Willenborg, C., Laaksonen, R., Voight, B. F., Stewart, A. F. R., Rader, D. J., Hall, A. S., Kooner, J. S., Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Munich, Germany (M.D., R. Malik), Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M.D.), Institut für Medizinische Biometrie und Statistik (I.R.K.), and Institut für integrative und experimentelle Genomik (J.E.), Universität zu Lübeck, Lübeck, Germany, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Germany (I.R.K.), Department of Neurology and Center for Human Genetic Research (J.R.), and Cardiology Division (C.J.O.D.), Massachusetts General Hospital, Boston, Harvard Medical School, Boston, MA (J.R.), Program in Medical and Population Genetics (J.R.), and Program in Medical and Population Genetics (S.K.), Broad Institute of Harvard and MIT, Cambridge, MA, Clinical Trial Service Unit and Epidemiological Studies Unit (R.C., J.C.H.), Wellcome Trust Centre for Human Genetics (H.W., M. Farrall), Department of Cardiovascular Medicine (M. Farrall), and Stroke Prevention Research Unit, Nuffield Department of Clinical Neuroscience (P.M.R.), John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom, deCODE Genetics, Reykjavik, Iceland (S.G., G.T., U.T., K.S.), Department of Medicine, University of Maryland School of Medicine, Baltimore (B.D.M.), Department of Medicine, Stanford University School of Medicine, Stanford, CA (T.L.A.), Center for Translational Neuroscience and Mental Health Research, University of Newcastle, New South Wales, Australia (C.L.), Hunter Medical Research Institute, New South Wales, Australia (C.L.), National Heart, Lung and Blood Institute and NHLBI's Framingham Heart Study, MA (C.J.O.D., S.S.), University of Texas Health Science Center at Houston (M. Fornage), Cardiovascular Health Research Unit, Department of Epidemiology (B.M.P.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Cardiovascular Health Research Unit, Department of Medicine (J.C.B.), University, and Radiology & Nuclear Medicine
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medicine.medical_specialty ,Multifunction cardiogram ,Áhættuþættir ,Genome-wide association study ,Coronary Artery Disease ,Polymorphism, Single Nucleotide ,Article ,Brain Ischemia ,Coronary artery disease ,03 medical and health sciences ,0302 clinical medicine ,Heilablóðfall ,Polymorphism (computer science) ,Risk Factors ,Internal medicine ,medicine ,Genetic predisposition ,Humans ,Genetic Predisposition to Disease ,Stroke ,030304 developmental biology ,Advanced and Specialized Nursing ,0303 health sciences ,business.industry ,Kransæðasjúkdómar ,Reproducibility of Results ,Heritability ,Arfgengi ,medicine.disease ,Phenotype ,Meta-analysis ,Data Interpretation, Statistical ,Cardiology ,Neurology (clinical) ,Cardiology and Cardiovascular Medicine ,business ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Files. This article is open access. Ischemic stroke (IS) and coronary artery disease (CAD) share several risk factors and each has a substantial heritability. We conducted a genome-wide analysis to evaluate the extent of shared genetic determination of the two diseases. Genome-wide association data were obtained from the METASTROKE, Coronary Artery Disease Genome-wide Replication and Meta-analysis (CARDIoGRAM), and Coronary Artery Disease (C4D) Genetics consortia. We first analyzed common variants reaching a nominal threshold of significance (P
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- 2014
27. Genetic studies of body mass index yield new insights for obesity biology
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Locke, A, Kahali, B, Berndt, S, Justice, A, Pers, T, Day, F, Powell, C, Vedantam, S, Buchkovich, M, Yang, J, Croteau-Chonka, D, Esko, T, Fall, T, Ferreira, T, Gustafsson, S, Kutalik, Z, Luan, J, Magi, R, Randall, J, Winkler, T, Wood, A, Workalemahu, T, Faul, J, Smith, J, Zhao, J, Zhao, W, Chen, J, Fehrmann, R, Hedman, A, Karjalainen, J, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bolton, J, Bragg-Gresham, J, Buyske, S, Demirkan, A, Deng, G, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Goel, A, Gong, J, Jackson, A, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Mangino, M, Leach, I, Medina-Gomez, C, Medland, S, Nalls, M, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Shungin, D, Stancakova, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, van der Laan, S, van Setten, J, Van Vliet-Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Isaacs, A, Albrecht, E, Arnlov, J, Arscott, G, Attwood, A, Bandinelli, S, Barrett, A, Bas, I, Bellis, C, Bennett, A, Berne, C, Blagieva, R, Bluher, M, Bohringer, S, Bonnycastle, L, Bottcher, Y, Boyd, H, Bruinenberg, M, Caspersen, I, Chen, Y, Clarke, R, Daw, E, de Craen, A, Delgado, G, Dimitriou, M, Doney, A, Eklund, N, Estrada, K, Eury, E, Folkersen, L, Fraser, R, Garcia, M, Geller, F, Giedraitis, V, Gigante, B, Go, A, Golay, A, Goodall, A, Gordon, S, Gorski, M, Grabe, H, Grallert, H, Grammer, T, Grassler, J, Gronberg, H, Groves, C, Gusto, G, Haessler, J, Hall, P, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heard-Costa, N, Helmer, Q, Hengstenberg, C, Holmen, O, Hottenga, J, James, A, Jeff, J, Johansson, A, Jolley, J, Juliusdottir, T, Kinnunen, L, Koenig, W, Koskenvuo, M, Kratzer, W, Laitinen, J, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindstrom, J, Lo, K, Lobbens, S, Lorbeer, R, Lu, Y, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Mclachlan, S, Menni, C, Merger, S, Mihailov, E, Milani, L, Moayyeri, A, Monda, K, Morken, M, Mulas, A, Muller, G, Muller-Nurasyid, M, Musk, A, Nagaraja, R, Nothen, M, Nolte, I, Pilz, S, Rayner, N, Renstrom, F, Rettig, R, Ried, J, Ripke, S, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Scott, W, Seufferlein, T, Shi, J, Smith, A, Smolonska, J, Stanton, A, Steinthorsdottir, V, Stirrups, K, Stringham, H, Sundstrom, J, Swertz, M, Swift, A, Syvanen, A, Tan, S, Tayo, B, Thorand, B, Thorleifsson, G, Tyrer, J, Uh, H, Vandenput, L, Verhulst, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Warren, H, Waterworth, D, Weedon, M, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Brennan, E, Choi, M, Dastani, Z, Drong, A, Eriksson, P, Franco-Cereceda, A, Gadin, J, Gharavi, A, Goddard, M, Handsaker, R, Huang, J, Karpe, F, Kathiresan, S, Keildson, S, Kiryluk, K, Kubo, M, Lee, J, Liang, L, Lifton, R, Ma, B, Mccarroll, S, Mcknight, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Okada, Y, Perry, J, Dorajoo, R, Reinmaa, E, Salem, R, Sandholm, N, Scott, R, Stolk, L, Takahashi, A, Van't Hooft, F, Vinkhuyzen, A, Westra, H, Zheng, W, Zondervan, K, Heath, A, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Bovet, P, Campbell, H, Caulfield, M, Cesana, G, Chakravarti, A, Chasman, D, Chines, P, Collins, F, Crawford, D, Cupples, L, Cusi, D, Danesh, J, de Faire, U, Den Ruijter, H, Dominiczak, A, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Felix, S, Ferrannini, E, Ferrieres, J, Ford, I, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gejman, P, Gieger, C, Gottesman, O, Gudnason, V, Gyllensten, U, Hall, A, Harris, T, Hattersley, A, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Homuth, G, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Illig, T, Jacobs, K, Jarvelin, M, Jockel, K, Johansen, B, Jousilahti, P, Jukema, J, Jula, A, Kaprio, J, Kastelein, J, Keinanen-Kiukaanniemi, S, Kiemeney, L, Knekt, P, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Marchand, L, Lehtimaki, T, Lyssenko, V, Mannisto, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Moll, F, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Madden, P, Pasterkamp, G, Peden, J, Peters, A, Postma, D, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Rioux, J, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schunkert, H, Schwarz, P, Sever, P, Shuldiner, A, Sinisalo, J, Stolk, R, Strauch, K, Tonjes, A, Tregouet, D, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Volker, U, Waeber, G, Willemsen, G, Witteman, J, Zillikens, M, Adair, L, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bornstein, S, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, de Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hui, J, Hunter, D, Hveem, K, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, Marz, W, Melbye, M, Metspalu, A, Moebus, S, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Perusse, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sattar, N, Schadt, E, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, van der Harst, P, Walker, M, Wallaschofski, H, Wareham, N, Watkins, H, Weir, D, Wichmann, H, Wilson, J, Zanen, P, Borecki, I, Deloukas, P, Fox, C, Heid, I, O'Connell, J, Strachan, D, Stefansson, K, van Duijn, C, Abecasis, G, Franke, L, Frayling, T, Mccarthy, M, Visscher, P, Scherag, A, Willer, C, Boehnke, M, Mohlke, K, Lindgren, C, Beckmann, J, Barroso, I, North, K, Ingelsson, E, Hirschhorn, J, Loos, R, Speliotes, E, Thompson, J, Goldstein, B, Konig, I, Cazier, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikainen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, 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- Abstract
Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10-8), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20 % of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
- Published
- 2015
28. Gene-centric meta-analyses of 108 912 individuals confirm known body mass index loci and reveal three novel signals
- Author
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Guo, Y., Lanktree, M. B., Taylor, K. C., Hakonarson, H., Lange, L. A., Keating, B. J., Fairfax, B. P., Elbers, C. C., Barnard, J., Farrall, M., Padmanabhan, S., Baumert, J., Castillo, B. A., Gaunt, T. R., Gong, Y., Rajagopalan, R., Romaine, S. P., Kumari, M., Rafelt, S., Smith, E. N., Li, Y. R., Sivapalaratnam, S., van Iperen, E. P., Speliotes, E. K., Toskala, E., Zhang, L., Ochs-Balcom, H. M., Bhangale, T. R., Chandrupatla, H. R., Drenos, F., Gieger, C., Gupta, J., Johnson, T., Kleber, M. E., Makino, S., Mangino, M., Meng, Y., Nelson, C. P., Pankow, J. S., Pankratz, N., Price, T. S., Shaffer, J., Shen, H., Tischfield, S., Tomaszewski, M., Atwood, L. D., Bailey, K. M., Balasubramanyam, A., Baldwin, C. T., Basart, H., Bauer, F., Behr, E. R., Beitelshees, A. L., Berenson, G. S., Beresford, S. A., Bezzina, C. R., Bhatt, D. L., Boer, J. M., Braund, P. S., Burke, G. L., Burkley, B., Carty, C., Chen, W., Clarke, R., Cooper-DeHoff, R. M., Curtis, S. P., de Bakker, P. I., de Jong, J. S., Delles, C., Dominiczak, A. F., Duggan, D., Feldman, H. I., Furlong, C. E., Gorski, M. M., Gums, J. G., Hardwick, R., Hastie, C., Heid, I. M., Huang, G.-H., Huggins, G. S., Humphries, S. E., Kirkland, S. A., Kivimaki, M., Klein, R., Klein, B. E., Knowler, W. C., Kottke-Marchant, K., LaCroix, A. Z., Langaee, T. Y., Li, M., Lyon, H. N., Maiwald, S., Marshall, J. K., Mehta, A., Meijs, M. F., Melander, O., Meyer, N., Mitra, N., Molony, C. M., Morrow, D. A., Murugesan, G., Newhouse, S. J., Nieto, J. F., Onland-Moret, N. C., Ouwehand, W. H., Palmen, J., Pepine, C. J., Ranchalis, J., Rosas, S. E., Rosenthal, E. A., Scharnagl, H., Schork, N. J., Schreiner, P. J., Shah, T., Shashaty, M., Shimbo, D., Srinivasan, S. R., Thomas, F., Tobin, M. D., Tsai, M. Y., Verschuren, W. M. M., Wagenknecht, L. E., Winkelmann, B. R., Young, T., Yusuf, S., Zafarmand, M. H., Zmuda, J. M., Zwinderman, A. H., Anand, S. S., Balmforth, A. J., Boehm, B. O., Boerwinkle, E., Burton, P. R., Cappola, T. P., Casas, J. P., Caulfield, M. J., Christiani, D. C., Christie, J., Cruickshanks, K. J., Davey-Smith, G., Davidson, K. W., Day, I. N., Doevendans, P. A., Dorn, G. W., FitzGerald, G. A., Hall, A. S., Hingorani, A. D., Hirschhorn, J. N., Hofker, M. H., Hovingh, K. G., Illig, T., Jamshidi, Y., Jarvik, G. P., Johnson, J. A., Kanetsky, P. A., Kastelein, J. J., Koenig, W., Lawlor, D. A., Marz, W., McCaffery, J., Mega, J. L., Mitchell, B. D., Murray, S. S., O'Connell, J. R., Patel, S. R., Peters, A., Pettinger, M., Rader, D. J., Redline, S., Reilly, M. P., Sabatine, M. S., Schadt, E. E., Shuldiner, A. R., Silverstein, R. L., Spector, T. D., Taylor, H. A., Thorand, B., Trip, M. D., Watkins, H., Wichmann, H.- E., Fox, C. S., Grant, S. F., Peter, I., Talmud, P. J., Munroe, P. B., Wilson, J. G., Knight, J. C., Samani, N. J., Hegele, R. A., Asselbergs, F. W., Monda, K. L., van der Schouw, Y. T., Demerath, E. W., Wijmenga, C., Timpson, N. J., Reiner, A. P., North, K. E., Papanicolaou, G. J., Lange , L. A., Keating , B. J., Vascular Medicine, Amsterdam Public Health, Epidemiology and Data Science, Graduate School, Other departments, Amsterdam Cardiovascular Sciences, Cardiology, Other Research, and Public and occupational health
- Subjects
Population ,Single-nucleotide polymorphism ,Genome-wide association study ,Biology ,Polymorphism, Single Nucleotide ,Body Mass Index ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,SH2B1 ,Genotype ,Ethnicity ,Genetics ,Humans ,education ,Molecular Biology ,Gene ,Genetics (clinical) ,030304 developmental biology ,Genetic association ,0303 health sciences ,education.field_of_study ,Association Studies Articles ,General Medicine ,Melanocortin 4 receptor ,030217 neurology & neurosurgery - Abstract
Recent genetic association studies have made progress in uncovering components of the genetic architecture of the body mass index (BMI). We used the ITMAT-Broad-Candidate Gene Association Resource (CARe) (IBC) array comprising up to 49 320 single nucleotide polymorphisms (SNPs) across ~2100 metabolic and cardiovascular-related loci to genotype up to 108 912 individuals of European ancestry (EA), African-Americans, Hispanics and East Asians, from 46 studies, to provide additional insight into SNPs underpinning BMI. We used a five-phase study design: Phase I focused on meta-analysis of EA studies providing individual level genotype data; Phase II performed a replication of cohorts providing summary level EA data; Phase III meta-analyzed results from the first two phases; associated SNPs from Phase III were used for replication in Phase IV; finally in Phase V, a multi-ethnic meta-analysis of all samples from four ethnicities was performed. At an array-wide significance (P < 2.40E-06), we identify novel BMI associations in loci translocase of outer mitochondrial membrane 40 homolog (yeast) - apolipoprotein E - apolipoprotein C-I (TOMM40-APOE-APOC1) (rs2075650, P = 2.95E-10), sterol regulatory element binding transcription factor 2 (SREBF2, rs5996074, P = 9.43E-07) and neurotrophic tyrosine kinase, receptor, type 2 [NTRK2, a brain-derived neurotrophic factor (BDNF) receptor gene, rs1211166, P = 1.04E-06] in the Phase IV meta-analysis. Of 10 loci with previous evidence for BMI association represented on the IBC array, eight were replicated, with the remaining two showing nominal significance. Conditional analyses revealed two independent BMI-associated signals in BDNF and melanocortin 4 receptor (MC4R) regions. Of the 11 array-wide significant SNPs, three are associated with gene expression levels in both primary B-cells and monocytes; with rs4788099 in SH2B adaptor protein 1 (SH2B1) notably being associated with the expression of multiple genes in cis. These multi-ethnic meta-analyses expand our knowledge of BMI genetics.
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- 2013
29. Assessment of gibbsitic material in soil clays by differential thermal analysis and alkali dissolution methods
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Jørgensen, S. S., Birnie, A. C., Smith, B. F. L., and Mitchell, B. D.
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- 1970
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30. Endovascular Recanalization in Acute Ischemic Stroke Using the Solitaire FR Revascularization Device with Adjunctive C-Arm CT Imaging
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Mitchell, B. D., primary, Chinnadurai, P., additional, Chintalapani, G., additional, Morsi, H. A., additional, Shaltoni, H., additional, and Mawad, M. E., additional
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- 2015
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31. Evidence for several independent genetic variants affecting lipoprotein (a) cholesterol levels
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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
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- 2015
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32. Entomostracan Zooplankton Communities of Australian Freshwater Lakes and Ponds
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Mitchell, B. D., primary
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- 1986
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33. Meta-analysis of genome wide scans provides evidence for gender and site specific regulation of bone mass
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Ioannidis, J P, Ng, M Y, Sham, P C, Zintzaras, E, Lewis, C M, Deng, H W, Econs, M J, Karasik, D, Devoto, M, Kammerer, C M, Spector, T, Andrew, T, Cupples, L A, Duncan, E L, Foroud, T, Kiel, D P, Koller, D, Langdahl, Bente Lomholt, Mitchell, B D, Peacock, M, Recker, R, Shen, H, Sol-Church, K, Spotila, L D, Uitterlinden, A G, Wilson, S G, Kung, A W, Ralston, S H, Molecular Genetics, Medical Oncology, and Internal Medicine
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- 2006
34. Effect of Structural Remodeling (Retraction and Recoil) of the Pipeline Embolization Device on Aneurysm Occlusion Rate
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Jou, L.- D., primary, Mitchell, B. D., additional, Shaltoni, H. M., additional, and Mawad, M. E., additional
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- 2014
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35. Familial Aggregation of Tobacco Use Behaviors Among Amish Men
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Nugent, K. L., primary, Million-Mrkva, A., additional, Backman, J., additional, Stephens, S. H., additional, Reed, R. M., additional, Kochunov, P., additional, Pollin, T. I., additional, Shuldiner, A. R., additional, Mitchell, B. D., additional, and Hong, L. E., additional
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- 2014
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36. Quantitative variation in obesity-related traits and insulin precursors linked to the OB gene region on human chromosome 7
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Duggirala, R., Stern, M. P., Mitchell, B. D., Reinhart, L. J., Shipman, P. A., Uresandi, O. C., Chung, W. K., Leibel, R. L., Hales, C. N., O'Connell, P., and Blangero, J.
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Adult ,Blood Glucose ,Leptin ,Male ,Carboxypeptidases A ,Genetic Linkage ,Genetic Variation ,Proteins ,Carboxypeptidases ,Middle Aged ,Skinfold Thickness ,Diabetes Mellitus, Type 2 ,Mexican Americans ,Multivariate Analysis ,Humans ,Insulin ,Female ,Obesity ,Chromosomes, Human, Pair 7 ,Research Article ,Microsatellite Repeats ,Proinsulin - Abstract
Despite the evidence that human obesity has strong genetic determinants, efforts at identifying specific genes that influence human obesity have largely been unsuccessful. Using the sibship data obtained from 32 low income Mexican American pedigrees ascertained on a type II diabetic proband and a multipoint variance-components method, we tested for linkage between various obesity-related traits plus associated metabolic traits and 15 markers on human chromosome 7. We found evidence for linkage between markers in the OB gene region and various traits, as follows: D7S514 and extremity skinfolds (LOD = 3.1), human carboxypeptidase A1 (HCPA1) and 32,33-split proinsulin level (LOD = 4.2), and HCPA1 and proinsulin level (LOD = 3.2). A putative susceptibility locus linked to the marker D7S514 explained 56% of the total phenotypic variation in extremity skinfolds. Variation at the HCPA1 locus explained 64% of phenotypic variation in proinsulin level and approximately 73% of phenotypic variation in split proinsulin concentration, respectively. Weaker evidence for linkage to several other obesity-related traits (e.g., waist circumference, body-mass index, fat mass by bioimpedance, etc.) was observed for a genetic location, which is approximately 15 cM telomeric to OB. In conclusion, our study reveals that the OB region plays a significant role in determining the phenotypic variation of both insulin precursors and obesity-related traits, at least in Mexican Americans.
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- 1996
37. Paraoxonase 1 (PON1) Gene Variants Are Not Associated With Clopidogrel Response
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Lewis, J P, primary, Fisch, A S, additional, Ryan, K, additional, O'Connell, J R, additional, Gibson, Q, additional, Mitchell, B D, additional, Shen, H, additional, Tanner, K, additional, Horenstein, R B, additional, Pakzy, R, additional, Tantry, U S, additional, Bliden, K P, additional, Gurbel, P A, additional, and Shuldiner, A R, additional
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- 2011
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38. Metastability in a river subject to multiple disturbances may constrain restoration options
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Robson, B. J., primary and Mitchell, B. D., additional
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- 2010
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39. Fish assemblage response to rehabilitation of a sand-slugged lowland river
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Howson, T. J., primary, Robson, B. J., additional, and Mitchell, B. D., additional
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- 2009
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40. Editorial: Clustering of Schizophrenia With Other Comorbidities--What Can We Learn?
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Mitchell, B. D., primary
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- 2009
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41. Can sand slugs in rivers deliver conservation benefits? The biodiversity value of tributary junction plug wetlands in the Glenelg River, Australia
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Lind, P. R., primary, Robson, B. J., additional, Mitchell, B. D., additional, and Matthews, T. G., additional
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- 2009
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42. The Association of Coronary Artery Calcification and Carotid Artery Intima-Media Thickness With Distinct, Traditional Coronary Artery Disease Risk Factors in Asymptomatic Adults
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Rampersaud, E., primary, Bielak, L. F., additional, Parsa, A., additional, Shen, H., additional, Post, W., additional, Ryan, K. A., additional, Donnelly, P., additional, Rumberger, J. A., additional, Sheedy, P. F., additional, Peyser, P. A., additional, Shuldiner, A. R., additional, and Mitchell, B. D., additional
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- 2008
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43. Approaches for Unraveling the Joint Genetic Determinants of Schizophrenia and Bipolar Disorder
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Lin, P.-I, primary and Mitchell, B. D., additional
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- 2007
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44. Multiple lines of evidence for the beneficial effects of environmental flows in two lowland rivers in Victoria, Australia
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Lind, P. R., primary, Robson, B. J., additional, and Mitchell, B. D., additional
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- 2007
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45. Infra-red, X-ray and thermal analysis of some aluminium and ferric phosphates
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Arlidge, E. Z., primary, Farmer, V. C., additional, Mitchell, B. D., additional, and Mitchell, W. A., additional
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- 2007
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46. The influence of reduced flow during a drought on patterns of variation in macroinvertebrate assemblages across a spatial hierarchy in two lowland rivers
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LIND, P. R., primary, ROBSON, B. J., additional, and MITCHELL, B. D., additional
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- 2006
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47. Diabetes in the Old Order Amish: characterization and heritability analysis of the Amish Family Diabetes Study.
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Hsueh, W C, primary, Mitchell, B D, additional, Aburomia, R, additional, Pollin, T, additional, Sakul, H, additional, Gelder Ehm, M, additional, Michelsen, B K, additional, Wagner, M J, additional, St Jean, P L, additional, Knowler, W C, additional, Burns, D K, additional, Bell, C J, additional, and Shuldiner, A R, additional
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- 2000
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48. Genes Influencing Variation in Serum Osteocalcin Concentrations Are Linked to Markers on Chromosomes 16q and 20q
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Mitchell, B. D., primary
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- 2000
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49. Linkage of serum insulin concentrations to chromosome 3p in Mexican Americans.
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Mitchell, B D, primary, Cole, S A, additional, Hsueh, W C, additional, Comuzzie, A G, additional, Blangero, J, additional, MacCluer, J W, additional, and Hixson, J E, additional
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- 2000
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50. A quantitative trait locus influencing BMI maps to the region of the beta-3 adrenergic receptor.
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Mitchell, B D, primary, Cole, S A, additional, Comuzzie, A G, additional, Almasy, L, additional, Blangero, J, additional, MacCluer, J W, additional, and Hixson, J E, additional
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- 1999
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