2,003 results on '"Lewis, Joshua"'
Search Results
602. Implementation of Genotype-Guided Antiplatelet Therapy
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Lewis, Joshua P., primary
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- 2018
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603. Nitrate, the oral microbiome, and cardiovascular health: a systematic literature review of human and animal studies
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Blekkenhorst, Lauren C, primary, Bondonno, Nicola P, additional, Liu, Alex H, additional, Ward, Natalie C, additional, Prince, Richard L, additional, Lewis, Joshua R, additional, Devine, Amanda, additional, Croft, Kevin D, additional, Hodgson, Jonathan M, additional, and Bondonno, Catherine P, additional
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- 2018
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604. Long-Term Atherosclerotic Vascular Disease Risk and Prognosis in Elderly Women With Abdominal Aortic Calcification on Lateral Spine Images Captured During Bone Density Testing: A Prospective Study
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Lewis, Joshua R, primary, Schousboe, John T, additional, Lim, Wai H, additional, Wong, Germaine, additional, Wilson, Kevin E, additional, Zhu, Kun, additional, Thompson, Peter L, additional, Kiel, Douglas P, additional, and Prince, Richard L, additional
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- 2018
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605. Abstract 052: Analysis of Platelet Related Traits in the Trans-Omics for Precision Medicine (TOPMed) Whole Genome Sequencing Project
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Raffield, Laura M, primary, Little, Amarise, additional, Jain, Deepti, additional, Laurie, Cecelia, additional, Chen, Ming-Huei, additional, O'Connell, Jeffrey R, additional, Lewis, Joshua P, additional, Mitchell, Braxton D, additional, Correa, Adolfo, additional, Wilson, James G, additional, Laurie, Cathy, additional, Reiner, Alex, additional, Thornton, Timothy A, additional, and Johnson, Andrew D, additional
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- 2018
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606. Low-level cadmium exposure and cardiovascular outcomes in elderly Australian women: A cohort study
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Deering, Kane E., primary, Callan, Anna C., additional, Prince, Richard L., additional, Lim, Wai H., additional, Thompson, Peter L., additional, Lewis, Joshua R., additional, Hinwood, Andrea L., additional, and Devine, Amanda, additional
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- 2018
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607. Genetic Variants of PEAR1 are Associated with Platelet Function and Antiplatelet Drug Efficacy: A Systematic Review and Meta-Analysis
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Xiang, Qian, primary, Zhou, Shuang, additional, Lewis, Joshua P., additional, Shuldiner, Alan R., additional, Ren, Guanhua, additional, and Cui, Yimin, additional
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- 2018
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608. Correlation and agreement between eplet mismatches calculated using serological, low-intermediate and high resolution molecular human leukocyte antigen typing methods
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Fidler, Samantha, primary, D’Orsogna, Lloyd, additional, Irish, Ashley B., additional, Lewis, Joshua R., additional, Wong, Germaine, additional, and Lim, Wai H., additional
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- 2018
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609. The expression profile of Claudin family members in the developing mouse lung and expression alterations resulting from exposure to secondhand smoke (SHS)
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Lewis, Joshua B., primary, Jimenez, Felix R., additional, Merrell, Brigham J., additional, Kimbler, Brent, additional, Arroyo, Juan A., additional, and Reynolds, Paul R., additional
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- 2018
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610. Short- and Long-Run Impacts of Rural Electrification: Evidence from the Historical Rollout of the U.S. Power Grid
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Lewis, Joshua, primary and Severnini, Edson, additional
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- 2018
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611. Estimating population infection rates from non-random testing data: Evidence from the COVID-19 pandemic.
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Benatia, David, Godefroy, Raphael, and Lewis, Joshua
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EMERGING infectious diseases , *COVID-19 pandemic , *DISEASE prevalence , *DISEASE outbreaks , *SEROPREVALENCE - Abstract
To effectively respond to an emerging infectious disease outbreak, policymakers need timely and accurate measures of disease prevalence in the general population. This paper presents a new methodology to estimate real-time population infection rates from non-random testing data. The approach compares how the observed positivity rate varies with the size of the tested population and applies this gradient to infer total population infections. Applying this methodology to daily testing data across U.S. states during the first wave of the COVID-19 pandemic, we estimated widespread undiagnosed COVID-19 infections. Nationwide, we found that for every identified case, there were 12 population infections. Our prevalence estimates align with results from seroprevalence surveys, alternate approaches to measuring COVID-19 infections, and total excess mortality during the first wave of the pandemic. [ABSTRACT FROM AUTHOR]
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- 2024
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612. Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia Using Flow Cytometry.
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Lewis, Joshua E., Cooper, Lee A.D., Jaye, David L., and Pozdnyakova, Olga
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- 2024
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613. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
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Zillikens, M. Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M., Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltyn, Luan, Jian'an, Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Zhao, Jing Hua, Zhang, Weihua, Aghdassi, Ali, Akesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Ines, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Obanda, Natalia Campos, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Choi, Hyung Jin, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A. M., Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpainen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S. L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong-Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellstrom, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephan, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Raikkonen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Shin, Chan Soo, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stancakova, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M. A., Tan, Sian-Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Voelzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichman, H. -Erich, Widen, Elisabeth, Williams, Frances M. K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Doring, Angela, van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, Andre G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth J. F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, Kiel, Douglas P., Zillikens, M. Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M., Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltyn, Luan, Jian'an, Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Zhao, Jing Hua, Zhang, Weihua, Aghdassi, Ali, Akesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Ines, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Obanda, Natalia Campos, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Choi, Hyung Jin, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A. M., Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpainen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S. L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong-Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellstrom, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephan, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Raikkonen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Shin, Chan Soo, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stancakova, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M. A., Tan, Sian-Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Voelzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichman, H. -Erich, Widen, Elisabeth, Williams, Frances M. K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Doring, Angela, van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, Andre G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth J. F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, and Kiel, Douglas P.
- Abstract
Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 x 10(-8)) or suggestively genome wide (p < 2.3 x 10(-6)). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/ near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/ near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass., Correction in: Nature Communications, Vol. 8, issue 1, artikel-id 1414DOI: 10.1038/s41467-017-01008-2
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- 2017
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614. Dietary inflammatory index in relation to sub-clinical atherosclerosis and atherosclerotic vascular disease mortality in older women
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Bondonno, Nicola P., Lewis, Joshua R., Blekkenhorst, Lauren C., Shivappa, Nitin, Woodman, Richard J., Bondonno, Catherine P., Ward, Nathalie C., Hebert, James R., Thompson, Peter L., prince, Richard L., Hodgson, Jonathan M., Bondonno, Nicola P., Lewis, Joshua R., Blekkenhorst, Lauren C., Shivappa, Nitin, Woodman, Richard J., Bondonno, Catherine P., Ward, Nathalie C., Hebert, James R., Thompson, Peter L., prince, Richard L., and Hodgson, Jonathan M.
- Abstract
Arterial wall thickening, stimulated by low-grade systemic inflammation, underlies many cardiovascular events. As diet is a significant moderator of systemic inflammation, the dietary inflammatory index (DIITM) has recently been devised to assess the overall inflammatory potential of an individual’s diet. The primary objective of this study was to assess the association of the DII with common carotid artery–intima-media thickness (CCA–IMT) and carotid plaques. To substantiate the clinical importance of these findings we assessed the relationship of DII score with atherosclerotic vascular disease (ASVD)-related mortality, ischaemic cerebrovascular disease (CVA)-related mortality and ischaemic heart disease (IHD)-related mortality more. The study was conducted in Western Australian women aged over 70 years (n 1304). Dietary data derived from a validated FFQ (completed at baseline) were used to calculate a DII score for each individual. In multivariable-adjusted models, DII scores were associated with sub-clinical atherosclerosis: a 1 sd (2·13 units) higher DII score was associated with a 0·013-mm higher mean CCA–IMT (P=0·016) and a 0·016-mm higher maximum CCA–IMT (P=0·008), measured at 36 months. No relationship was seen between DII score and carotid plaque severity. There were 269 deaths during follow-up. High DII scores were positively associated with ASVD-related death (per sd, hazard ratio (HR): 1·36; 95 % CI 1·15, 1·60), CVA-related death (per sd, HR: 1·30; 95 % CI 1·00, 1·69) and IHD-related death (per sd, HR: 1·40; 95 % CI 1·13, 1·75). These results support the hypothesis that a pro-inflammatory diet increases systemic inflammation leading to development and progression of atherosclerosis and eventual ASVD-related death.
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- 2017
615. Toward a political ecology of infrastructure standards : Or, how to think about ships, waterways, sediment, and communities together
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Carse, Ashley, Lewis, Joshua A., Carse, Ashley, and Lewis, Joshua A.
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Scholars have shown that technical standards play an important role in building global transportation and communication infrastructures, but the environmental standardization efforts associated with infrastructures have received far less attention. Combining scholarship from transportation geography, political ecology, and science and technology studies, we show how global connection is made, maintained, and contested through environmental management practices pegged to infrastructure standards. The Panama Canal expansion, completed in 2016, is a revealing illustration. The expansion has established the New Panamax shipping standard: the maximum allowable dimensions for vessels passing through the canal's massive new locks. The standard has become a benchmark for port modernization and channel deepening projects along the Atlantic and Gulf Coasts of the United States and beyond. Because the maximum underwater depth, or draft, of ships transiting the new locks is much deeper than before (50 rather than 39.5 feet), geographically dispersed governments, firms, and port authorities have scrambled to reach that standard in hopes of attracting New Panamax ships and associated revenue streams. As this case shows, global transportation depends on the expensive, ecologically destabilizing, and often-contested practices of dredging and disposing of large volumes of sediment and organic matter. By showing how shipping networks and situated politics converge around infrastructure standards, we foreground the uneven environmental burdens and benefits of transportation.
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- 2017
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616. Development of a reference database for assessing dietary nitrate in vegetables
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Blekkenhorst, Lauren, Prince, Richard, Ward, Natalie, Croft, Kevin, Lewis, Joshua, Devine, Amanda, Shinde, Sujata, Woodman, Richard, Hodgson, Jonathan M., Bondonno, Catherine P., Blekkenhorst, Lauren, Prince, Richard, Ward, Natalie, Croft, Kevin, Lewis, Joshua, Devine, Amanda, Shinde, Sujata, Woodman, Richard, Hodgson, Jonathan M., and Bondonno, Catherine P.
- Abstract
Scope Nitrate from vegetables improves vascular health with short-term intake. Whether this translates into improved long-term health outcomes has yet to be investigated. To enable reliable analysis of nitrate intake from food records, there is a strong need for a comprehensive nitrate content of vegetables database. Methods and results A systematic literature search (1980–2016) was performed using Medline, Agricola and Commonwealth Agricultural Bureaux abstracts databases. The nitrate content of vegetables database contains 4237 records from 255 publications with data on 178 vegetables and 22 herbs and spices. The nitrate content of individual vegetables ranged from Chinese flat cabbage (median; range: 4240; 3004–6310 mg/kg FW) to corn (median; range: 12; 5–1091 mg/kg FW). The database was applied to estimate vegetable nitrate intake using 24-h dietary recalls (24-HDRs) and food frequency questionnaires (FFQs). Significant correlations were observed between urinary nitrate excretion and 24-HDR (r = 0.4, P = 0.013), between 24-HDR and 12 month FFQs (r = 0.5, P < 0.001) as well as two 4 week FFQs administered 8 weeks apart (r = 0.86, P < 0.001). Conclusion This comprehensive nitrate database allows quantification of dietary nitrate from a large variety of vegetables. It can be applied to dietary records to explore the associations between nitrate intake and health outcomes in human studies.
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- 2017
617. Vegetable and fruit intake and fracture-related hospitalisations: A prospective study of older women
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Blekkenhorst, Lauren C., Hodgson, Jonathan M., Lewis, Joshua R., Devine, Amanda, Woodman, Richard J., Lim, Wai H., Wong, Germaine, Zhu, Kun, Bondonno, Catherine P., Ward, Natalie C., Prince, Richard L., Blekkenhorst, Lauren C., Hodgson, Jonathan M., Lewis, Joshua R., Devine, Amanda, Woodman, Richard J., Lim, Wai H., Wong, Germaine, Zhu, Kun, Bondonno, Catherine P., Ward, Natalie C., and Prince, Richard L.
- Abstract
The importance of vegetable and fruit intakes for the prevention of fracture in older women is not well understood. Few studies have explored vegetable and fruit intakes separately, or the associations of specific types of vegetables and fruits with fracture hospitalisations. The objective of this study was to examine the associations of vegetable and fruit intakes, separately, and specific types of vegetables and fruits with fracture-related hospitalisations in a prospective cohort of women aged ≥70 years. Vegetable and fruit intakes were assessed at baseline (1998) in 1468 women using a food frequency questionnaire. The incidence of fracture-related hospitalisations over 14.5 years of follow-up was determined using the Hospital Morbidity Data Collection, linked via theWestern Australian Data Linkage System. Fractures were identified in 415 (28.3%) women, of which 158 (10.8%) were hip fractures. Higher intakes of vegetables, but not fruits, were associated with lower fracture incidence. In multivariable-adjusted models for vegetable types, cruciferous and allium vegetables were inversely associated with all fractures, with a hazard ratio (HR) (95% confidence interval) of 0.72 (0.54, 0.95) and 0.66 (0.49, 0.88), respectively, for the highest vs. lowest quartiles. Increasing vegetable intake, with an emphasis on cruciferous and allium vegetables, may prevent fractures in older postmenopausal women.
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- 2017
618. Cruciferous and allium vegetable intakes are inversely associated with 15‐year atherosclerotic vascular disease deaths in older adult women
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Blekkenhorst, Lauren, Bondonno, Catherine P., Lewis, Joshua, Devine, Amanda, Zhu, Kun, Lim, Wai, Woodman, Richard, Beilin, Lawrence, Prince, Richard, Hodgson, Jonathan M., Blekkenhorst, Lauren, Bondonno, Catherine P., Lewis, Joshua, Devine, Amanda, Zhu, Kun, Lim, Wai, Woodman, Richard, Beilin, Lawrence, Prince, Richard, and Hodgson, Jonathan M.
- Abstract
Background Higher vegetable intake is consistently associated with lower atherosclerotic vascular disease (ASVD) events. However, the components responsible and mechanisms involved are uncertain. Nonnutritive phytochemicals may be involved. The objective of this study was to investigate the associations of total vegetable intake and types of vegetables grouped according to phytochemical constituents with ASVD mortality. Methods and Results The cohort consisted of 1226 Australian women aged 70 years and older without clinical ASVD or diabetes mellitus at baseline (1998). Vegetable intakes were calculated per serving (75 g/d) and were also classified into prespecified types relating to phytochemical constituents. ASVD‐related deaths were ascertained from linked mortality data. During 15 years (15 947 person‐years) of follow‐up, 238 ASVD‐related deaths occurred. A 1‐serving increment of vegetable intake was associated with a 20% lower hazard of ASVD‐related death (multivariable‐adjusted hazard ratio, 0.80; 95% confidence interval, 0.69–0.94 [P=0.005]). In multivariable‐adjusted models for vegetable types, cruciferous (per 10‐g/d increase: hazard ratio, 0.87; 95% confidence interval, 0.81–0.94 [PP=0.003]) vegetables were inversely associated with ASVD‐related deaths. The inclusion of other vegetable types, as well as lifestyle and cardiovascular risk factors, did not alter these associations. Yellow/orange/red (P=0.463), leafy green (P=0.063), and legume (P=0.379) vegetables were not significant. Conclusions Consistent with current evidence, higher cruciferous and allium vegetable intakes were associated with a lower risk of ASVD mortality. In addition, cruciferous and allium vegetables are recognized to be a good source of several nonnutritive phytochemicals such as organosulfur compounds. Clinical Trial Registration URL: http://www.anzctr.org.au. Unique identifier: ACTRN12617000640303.
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- 2017
619. Association of dietary nitrate with atherosclerotic vascular disease mortality: a prospective cohort study of older adult women
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Blekkenhorst, Lauren, Bondonno, Catherine P., Lewis, Joshua, Devine, Amanda, Woodman, Richard, Croft, Kevin, Lim, Wai, Wong, Germaine, Beilin, Lawrence, Prince, Richard, Hodgson, Jonathan M., Blekkenhorst, Lauren, Bondonno, Catherine P., Lewis, Joshua, Devine, Amanda, Woodman, Richard, Croft, Kevin, Lim, Wai, Wong, Germaine, Beilin, Lawrence, Prince, Richard, and Hodgson, Jonathan M.
- Abstract
Background: Nitrate-rich vegetables lower blood pressure and improve endothelial function in humans. It is not known, however, whether increased consumption of nitrate-rich vegetables translates to a lower risk of atherosclerotic vascular disease (ASVD) mortality. Objective: The objective was to investigate the association of nitrate intake from vegetables with ASVD mortality. Design: A total of 1226 Australian women aged 70–85 y without prevalent ASVD and/or diabetes were recruited in 1998 and were studied for 15 y. We assessed demographic and ASVD risk factors at baseline (1998), and we used a validated food-frequency questionnaire to evaluate dietary intake. Nitrate intake from vegetables was calculated by use of a newly developed comprehensive database. The primary outcome was any death attributed to ASVD ascertained by using linked data that were provided via the Western Australian Data Linkage system. We used Cox proportional hazards modeling to examine the association between nitrate intake and ASVD mortality before and after adjustment for lifestyle and cardiovascular disease risk factors. Results: During a follow-up period of 15,947 person-years, 238 of 1226 (19.4%) women died of ASVD-related causes. The mean ± SD vegetable nitrate intake was 67.0 ± 29.2 mg/d. Each SD higher vegetable nitrate intake was associated with a lower risk of ASVD mortality in both unadjusted [HR: 0.80 (95% CI: 0.70, 0.92), P = 0.002] and multivariable-adjusted [HR: 0.79 (95% CI: 0.68, 0.93), P = 0.004] analyses. This relation was attenuated after further adjustment for diet quality [HR: 0.85 (95% CI: 0.72, 1.01), P = 0.072]. Higher vegetable nitrate intake (per SD) also was associated with a lower risk of all-cause mortality [Multivariable-adjusted HR: 0.87 (95% CI: 0.78, 0.97), P = 0.011]. Conclusions: Nitrate intake from vegetables was inversely associated with ASVD mortality independent of lifestyle and cardiovascular disease risk factors in this population of older adult women
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- 2017
620. Association of vegetable nitrate intake with carotid atherosclerosis and ischemic cerebrovascular disease in older women
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Bondonno, Catherine P., Blekkenhorst, Lauren, Prince, Richard, Ivey, Kerry, Lewis, Joshua, Devine, Amanda, Woodman, Richard, Lundberg, Jon, Croft, Kevin, Thompson, Peter, Hodgson, Jonathan M., Bondonno, Catherine P., Blekkenhorst, Lauren, Prince, Richard, Ivey, Kerry, Lewis, Joshua, Devine, Amanda, Woodman, Richard, Lundberg, Jon, Croft, Kevin, Thompson, Peter, and Hodgson, Jonathan M.
- Abstract
Background and Purpose—A short-term increase in dietary nitrate (NO3−) improves markers of vascular health via formation of nitric oxide and other bioactive nitrogen oxides. Whether this translates into long-term vascular disease risk reduction has yet to be examined. We investigated the association of vegetable-derived nitrate intake with common carotid artery intima-media thickness (CCA-IMT), plaque severity, and ischemic cerebrovascular disease events in elderly women (n=1226). Methods—Vegetable nitrate intake, lifestyle factors, and cardiovascular disease risk factors were determined at baseline (1998). CCA-IMT and plaque severity were measured using B-mode carotid ultrasound (2001). Complete ischemic cerebrovascular disease hospitalizations or deaths (events) over 14.5 years (15 032 person-years of follow-up) were obtained from the West Australian Data Linkage System. Results—Higher vegetable nitrate intake was associated with a lower maximum CCA-IMT (B=−0.015, P=0.002) and lower mean CCA-IMT (B=−0.012, P=0.006). This relationship remained significant after adjustment for lifestyle and cardiovascular risk factors (P≤0.01). Vegetable nitrate intake was not a predictor of plaque severity. In total 186 (15%) women experienced an ischemic cerebrovascular disease event. For every 1 SD (29 mg/d) higher intake of vegetable nitrate, there was an associated 17% lower risk of 14.5-year ischemic cerebrovascular disease events in both unadjusted and fully adjusted models (P=0.02). Conclusions—Independent of other risk factors, higher vegetable nitrate was associated with a lower CCA-IMT and a lower risk of an ischemic cerebrovascular disease event.
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- 2017
621. Total volume and composition of fluid intake and mortality in older women: A cohort study
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Lim, Wai H., Wong, Germaine, Lewis, Joshua R., Lok, Charmaine E., Polkinghorne, Kevan R., Hodgson, Jonathan, Lim, Ee M., Prince, Richard L., Lim, Wai H., Wong, Germaine, Lewis, Joshua R., Lok, Charmaine E., Polkinghorne, Kevan R., Hodgson, Jonathan, Lim, Ee M., and Prince, Richard L.
- Abstract
Objectives The health benefits of ‘drinking at least 8 glasses of water a day” in healthy individuals are largely unproven. We aimed to examine the relationship between total fluid and the sources of fluid consumption, risk of rapid renal decline, cardiovascular disease (CVD) mortality and all-cause mortality in elderly women. Design, setting and participants We conducted a longitudinal analysis of a population-based cohort study of 1055 women aged ≥70 years residing in Australia. Main outcome measures The associations between total daily fluid intake (defined as total volume of beverage excluding alcohol and milk) and the types of fluid (water, black tea, coffee, milk and other fluids) measured as cups per day and rapid renal decline, CVD and all-cause mortality were assessed using adjusted logistic and Cox regression analyses. Results Over a follow-up period of 10 years, 70 (6.6%) experienced rapid renal decline and 362 (34.4%) died, of which 142 (13.5%) deaths were attributed to CVD. The median (IQR) intake of total fluid was 10.4 (8.5–12.5) cups per day, with water (median (IQR) 4 (2–6) cups per day) and black tea (median (IQR) 3 (1–4) cups per day) being the most frequent type of fluid consumed. Every cup per day higher intake of black tea was associated with adjusted HRs of 0.90 (95% CI 0.81 to 0.99) and 0.92 (95% CI 0.86 to 0.98) for CVD mortality and all-cause mortality, respectively. There were no associations between black tea intake and rapid renal decline, or between the quantity or type of other fluids, including water intake, and any clinical outcomes. Conclusions Habitual higher intake of black tea may potentially improve long-term health outcomes, independent of treating traditional CVD risk factors, but validation of our study findings is essential.
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- 2017
622. Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology.
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Brody, Jennifer A, Brody, Jennifer A, Morrison, Alanna C, Bis, Joshua C, O'Connell, Jeffrey R, Brown, Michael R, Huffman, Jennifer E, Ames, Darren C, Carroll, Andrew, Conomos, Matthew P, Gabriel, Stacey, Gibbs, Richard A, Gogarten, Stephanie M, Gupta, Namrata, Jaquish, Cashell E, Johnson, Andrew D, Lewis, Joshua P, Liu, Xiaoming, Manning, Alisa K, Papanicolaou, George J, Pitsillides, Achilleas N, Rice, Kenneth M, Salerno, William, Sitlani, Colleen M, Smith, Nicholas L, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, TOPMed Hematology and Hemostasis Working Group, CHARGE Analysis and Bioinformatics Working Group, Heckbert, Susan R, Laurie, Cathy C, Mitchell, Braxton D, Vasan, Ramachandran S, Rich, Stephen S, Rotter, Jerome I, Wilson, James G, Boerwinkle, Eric, Psaty, Bruce M, Cupples, L Adrienne, Brody, Jennifer A, Brody, Jennifer A, Morrison, Alanna C, Bis, Joshua C, O'Connell, Jeffrey R, Brown, Michael R, Huffman, Jennifer E, Ames, Darren C, Carroll, Andrew, Conomos, Matthew P, Gabriel, Stacey, Gibbs, Richard A, Gogarten, Stephanie M, Gupta, Namrata, Jaquish, Cashell E, Johnson, Andrew D, Lewis, Joshua P, Liu, Xiaoming, Manning, Alisa K, Papanicolaou, George J, Pitsillides, Achilleas N, Rice, Kenneth M, Salerno, William, Sitlani, Colleen M, Smith, Nicholas L, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, TOPMed Hematology and Hemostasis Working Group, CHARGE Analysis and Bioinformatics Working Group, Heckbert, Susan R, Laurie, Cathy C, Mitchell, Braxton D, Vasan, Ramachandran S, Rich, Stephen S, Rotter, Jerome I, Wilson, James G, Boerwinkle, Eric, Psaty, Bruce M, and Cupples, L Adrienne
- Abstract
The exploding volume of whole-genome sequence (WGS) and multi-omics data requires new approaches for analysis. As one solution, we have created a cloud-based Analysis Commons, which brings together genotype and phenotype data from multiple studies in a setting that is accessible by multiple investigators. This framework addresses many of the challenges of multi-center WGS analyses, including data sharing mechanisms, phenotype harmonization, integrated multi-omics analyses, annotation, and computational flexibility. In this setting, the computational pipeline facilitates a sequence-to-discovery analysis workflow illustrated here by an analysis of plasma fibrinogen levels in 3996 individuals from the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) WGS program. The Analysis Commons represents a novel model for transforming WGS resources from a massive quantity of phenotypic and genomic data into knowledge of the determinants of health and disease risk in diverse human populations.
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- 2017
623. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
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Zillikens, M.C., Demissie, Serkalem, Hsu, Yi Hsiang, Yerges-Armstrong, Laura M., Chou, Wen Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltán, Luan, J.A., Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Inês, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A.M., DIatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay Tee, Kilpelaïnen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S.L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia M., Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephan, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Raïkkönen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Soo Shin, Chan, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stančáková, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M.A., Tan, Sian Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Völzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichman, H.E., Widen, Elisabeth, Williams, Frances M.K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Döring, Angela, Van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, André G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn M., Loos, Ruth J.F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, Kiel, Douglas P., Zillikens, M.C., Demissie, Serkalem, Hsu, Yi Hsiang, Yerges-Armstrong, Laura M., Chou, Wen Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltán, Luan, J.A., Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Inês, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A.M., DIatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay Tee, Kilpelaïnen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S.L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia M., Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephan, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Raïkkönen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Soo Shin, Chan, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stančáková, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M.A., Tan, Sian Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Völzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichman, H.E., Widen, Elisabeth, Williams, Frances M.K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Döring, Angela, Van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, André G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn M., Loos, Ruth J.F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, and Kiel, Douglas P.
- Abstract
Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10-8) or suggestively genome wide (p < 2.3 × 10-6). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.
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- 2017
624. Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
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Zillikens, M.C., Demissie, Serkalem, Hsu, Yi Hsiang, Yerges-Armstrong, Laura M., Chou, Wen Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltán, Luan, J., Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Inês, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A.M., Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay Tee, Kilpeläinen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S.L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephen C.J., Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Räikkönen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Soo Shin, Chan, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stančáková, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M.A., Tan, Sian Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Völzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichmann, H.E., Widen, Elisabeth, Williams, Frances M.K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Döring, Angela, van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, André G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth J.F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, Kiel, Douglas P., Zillikens, M.C., Demissie, Serkalem, Hsu, Yi Hsiang, Yerges-Armstrong, Laura M., Chou, Wen Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltán, Luan, J., Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Inês, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A.M., Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay Tee, Kilpeläinen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S.L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephen C.J., Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Räikkönen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Soo Shin, Chan, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stančáková, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M.A., Tan, Sian Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Völzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichmann, H.E., Widen, Elisabeth, Williams, Frances M.K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Döring, Angela, van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, André G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth J.F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, and Kiel, Douglas P.
- Abstract
A correction to this article has been published and is linked from the HTML version of this article.
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- 2017
625. Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci
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Walford, Geoffrey A, Gustafsson, Stefan, Rybin, Denis, Stančáková, Alena, Chen, Han, Liu, Ching-Ti, Hong, Jaeyoung, Jensen, Richard A, Rice, Ken, Morris, Andrew P, Mägi, Reedik, Tönjes, Anke, Prokopenko, Inga, Kleber, Marcus E, Delgado, Graciela, Silbernagel, Günther, Jackson, Anne U, Appel, Emil V, Grarup, Niels, Lewis, Joshua P, Montasser, May E, Landenvall, Claes, Staiger, Harald, Luan, Jian'an, Frayling, Timothy M, Weedon, Michael N, Xie, Weijia, Morcillo, Sonsoles, Martínez-Larrad, María Teresa, Biggs, Mary L, Chen, Yii-Der Ida, Corbaton-Anchuelo, Arturo, Færch, Kristine, Gómez-Zumaquero, Juan Miguel, Goodarzi, Mark O, Kizer, Jorge R, Koistinen, Heikki A, Leong, Aaron, Lind, Lars, Lindgren, Cecilia, Machicao, Fausto, Manning, Alisa K, Martín-Núñez, Gracia María, Rojo-Martínez, Gemma, Rotter, Jerome I, Siscovick, David S, Zmuda, Joseph M, Zhang, Zhongyang, Serrano-Rios, Manuel, Smith, Ulf, Soriguer, Federico, Hansen, Torben, Jørgensen, Torben J, Linnenberg, Allan, Pedersen, Oluf, Walker, Mark, Langenberg, Claudia, Scott, Robert A, Wareham, Nicholas J, Fritsche, Andreas, Häring, Hans-Ulrich, Stefan, Norbert, Groop, Leif, O'Connell, Jeff R, Boehnke, Michael, Bergman, Richard N, Collins, Francis S, Mohlke, Karen L, Tuomilehto, Jaakko, März, Winfried, Kovacs, Peter, Stumvoll, Michael, Psaty, Bruce M, Kuusisto, Johanna, Laakso, Markku, Meigs, James B, Dupuis, Josée, Ingelsson, Erik, and Florez, Jose C
- Subjects
Male ,Prevention ,Human Genome ,Diabetes ,Single Nucleotide ,CC ,Medical and Health Sciences ,Endocrinology & Metabolism ,Proto-Oncogene Proteins c-bcl-2 ,Insulin Receptor Substrate Proteins ,Genetics ,Humans ,2.1 Biological and endogenous factors ,Genetic Predisposition to Disease ,Female ,Insulin Resistance ,Chemokines ,Polymorphism ,Aetiology ,Metabolic and endocrine ,Genome-Wide Association Study - Abstract
Genome-wide association studies (GWAS) have found few common variants that influence fasting measures of insulin sensitivity. We hypothesized that a GWAS of an integrated assessment of fasting and dynamic measures of insulin sensitivity would detect novel common variants. We performed a GWAS of the modified Stumvoll Insulin Sensitivity Index (ISI) within the Meta-Analyses of Glucose and Insulin-Related Traits Consortium. Discovery for genetic association was performed in 16,753 individuals, and replication was attempted for the 23 most significant novel loci in 13,354 independent individuals. Association with ISI was tested in models adjusted for age, sex, and BMI and in a model analyzing the combined influence of the genotype effect adjusted for BMI and the interaction effect between the genotype and BMI on ISI (model 3). In model 3, three variants reached genome-wide significance: rs13422522 (NYAP2; P = 8.87 × 10(-11)), rs12454712 (BCL2; P = 2.7 × 10(-8)), and rs10506418 (FAM19A2; P = 1.9 × 10(-8)). The association at NYAP2 was eliminated by conditioning on the known IRS1 insulin sensitivity locus; the BCL2 and FAM19A2 associations were independent of known cardiometabolic loci. In conclusion, we identified two novel loci and replicated known variants associated with insulin sensitivity. Further studies are needed to clarify the causal variant and function at the BCL2 and FAM19A2 loci.
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- 2016
626. Additional file 2: of Chronic kidney disease and the risk of cancer: an individual patient data meta-analysis of 32,057 participants from six prospective studies
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Wong, Germaine, Staplin, Natalie, Emberson, Jonathan, Baigent, Colin, Turner, Robin, Chalmers, John, Zoungas, Sophia, Pollock, Carol, Cooper, Bruce, Harris, David, Wang, Jie, Mitchell, Paul, Prince, Richard, Lim, Wai, Lewis, Joshua, Chapman, Jeremy, and Craig, Jonathan
- Abstract
Relevance of renal function to cancer incidence and cancer death, after adjustment for age, sex, ethnicity and smoking status, excluding events in the first 2-years of follow-up. (PDF 9 kb)
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- 2016
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627. Additional file 3: of Chronic kidney disease and the risk of cancer: an individual patient data meta-analysis of 32,057 participants from six prospective studies
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Wong, Germaine, Staplin, Natalie, Emberson, Jonathan, Baigent, Colin, Turner, Robin, Chalmers, John, Zoungas, Sophia, Pollock, Carol, Cooper, Bruce, Harris, David, Wang, Jie, Mitchell, Paul, Prince, Richard, Lim, Wai, Lewis, Joshua, Chapman, Jeremy, and Craig, Jonathan
- Abstract
Relevance of renal function to cancer incidence and cancer death, after adjustment for age, sex, ethnicity and smoking status, using Fine and Gray regression. (PDF 9 kb)
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- 2016
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628. Canary in a Coal Mine: Infant Mortality, Property Values, and Tradeoffs Associated with Mid-20th Century Air Pollution
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Clay, Karen, Lewis, Joshua, and Severnini, Edson R.
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N32 ,Q40 ,I15 ,Q53 ,mid-20th century air pollution ,N72 ,N52 ,J24 ,Q48 ,Q56 ,R11 ,infant mortality ,ddc:330 ,N92 ,J30 ,housing values ,coal-fired electricity generation ,tradeoffs - Abstract
Pollution is a common byproduct of economic activity. Although policymakers should account for both the benefits and the negative externalities of polluting activities, it is difficult to identify those who are harmed and those who benefit from them. To overcome this challenge, our paper uses a novel dataset on the mid-20th century expansion of the U.S. power grid to study the costs and the benefits of coal-fired electricity generation. The empirical analysis exploits the timing of coal-fired power plant openings and annual variation in plant-level coal consumption from 1938 to 1962, when emissions were virtually unregulated. Pollution from the burning of coal for electricity generation is shown to have quantitatively important and nonlinear effects on county-level infant mortality rates. By 1962, it was responsible for 3,500 infant deaths per year, over one death per thousand live births. These effects are even larger at lower levels of coal consumption. We also find evidence of clear tradeoffs associated with coal-fired electricity generation. For counties with low access to electricity in the baseline, increases in local power plant coal consumption reduced infant mortality and increased housing values and rental prices. For counties with near universal access to electricity in the baseline, increases in coal consumption by power plants led to higher infant mortality rates, and lower housing values and rental prices. These results highlight the importance of considering both the costs and benefits of polluting activities, and suggest that demand for policy intervention may emerge only when the negative externalities are significantly larger than the perceived benefits.
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- 2016
629. Additional file 4: of Chronic kidney disease and the risk of cancer: an individual patient data meta-analysis of 32,057 participants from six prospective studies
- Author
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Wong, Germaine, Staplin, Natalie, Emberson, Jonathan, Baigent, Colin, Turner, Robin, Chalmers, John, Zoungas, Sophia, Pollock, Carol, Cooper, Bruce, Harris, David, Wang, Jie, Mitchell, Paul, Prince, Richard, Lim, Wai, Lewis, Joshua, Chapman, Jeremy, and Craig, Jonathan
- Subjects
fungi - Abstract
Relevance of renal function to site specific cancer incidence after adjustment for age, sex, ethnicity and smoking status. (PDF 157 kb)
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- 2016
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630. Additional file 1: of Chronic kidney disease and the risk of cancer: an individual patient data meta-analysis of 32,057 participants from six prospective studies
- Author
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Wong, Germaine, Staplin, Natalie, Emberson, Jonathan, Baigent, Colin, Turner, Robin, Chalmers, John, Zoungas, Sophia, Pollock, Carol, Cooper, Bruce, Harris, David, Wang, Jie, Mitchell, Paul, Prince, Richard, Lim, Wai, Lewis, Joshua, Chapman, Jeremy, and Craig, Jonathan
- Subjects
body regions ,nervous system ,fungi - Abstract
Baseline characteristics of 32057 eligible participants, by study. (PDF 160 kb)
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- 2016
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631. Exome-chip meta-analysis identifies association between variation in ANKRD26 and platelet aggregation
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Chen, Ming-Huei, primary, Yanek, Lisa R., additional, Backman, Joshua D., additional, Eicher, John D., additional, Huffman, Jennifer E., additional, Ben-Shlomo, Yoav, additional, Beswick, Andrew D., additional, Yerges-Armstrong, Laura M., additional, Shuldiner, Alan R., additional, O’Connell, Jeffrey R., additional, Mathias, Rasika A., additional, Becker, Diane M., additional, Becker, Lewis C., additional, Lewis, Joshua P., additional, Johnson, Andrew D., additional, and Faraday, Nauder, additional
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- 2017
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632. Identification of a novel locus on chromosome 2q13, which predisposes to clinical vertebral fractures independently of bone density
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Alonso, Nerea, primary, Estrada, Karol, additional, Albagha, Omar M E, additional, Herrera, Lizbeth, additional, Reppe, Sjur, additional, Olstad, Ole K, additional, Gautvik, Kaare M, additional, Ryan, Niamh M, additional, Evans, Kathryn L, additional, Nielson, Carrie M, additional, Hsu, Yi-Hsiang, additional, Kiel, Douglas P, additional, Markozannes, George, additional, Ntzani, Evangelia E, additional, Evangelou, Evangelos, additional, Feenstra, Bjarke, additional, Liu, Xueping, additional, Melbye, Mads, additional, Masi, Laura, additional, Brandi, Maria Luisa, additional, Riches, Philip, additional, Daroszewska, Anna, additional, Olmos, José Manuel, additional, Valero, Carmen, additional, Castillo, Jesús, additional, Riancho, José A, additional, Husted, Lise B, additional, Langdahl, Bente L, additional, Brown, Matthew A, additional, Duncan, Emma L, additional, Kaptoge, Stephen, additional, Khaw, Kay-Tee, additional, Usategui-Martín, Ricardo, additional, Del Pino-Montes, Javier, additional, González-Sarmiento, Rogelio, additional, Lewis, Joshua R, additional, Prince, Richard L, additional, D’Amelio, Patrizia, additional, García-Giralt, Natalia, additional, Nogués, Xavier, additional, Mencej-Bedrac, Simona, additional, Marc, Janja, additional, Wolstein, Orit, additional, Eisman, John A, additional, Oei, Ling, additional, Medina-Gómez, Carolina, additional, Schraut, Katharina E, additional, Navarro, Pau, additional, Wilson, James F, additional, Davies, Gail, additional, Starr, John, additional, Deary, Ian, additional, Tanaka, Toshiko, additional, Ferrucci, Luigi, additional, Gianfrancesco, Fernando, additional, Gennari, Luigi, additional, Lucas, Gavin, additional, Elosua, Roberto, additional, Uitterlinden, André G, additional, Rivadeneira, Fernando, additional, and Ralston, Stuart H, additional
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- 2017
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633. Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
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Zillikens, M. Carola, primary, Demissie, Serkalem, additional, Hsu, Yi-Hsiang, additional, Yerges-Armstrong, Laura M., additional, Chou, Wen-Chi, additional, Stolk, Lisette, additional, Livshits, Gregory, additional, Broer, Linda, additional, Johnson, Toby, additional, Koller, Daniel L., additional, Kutalik, Zoltán, additional, Luan, Jian’an, additional, Malkin, Ida, additional, Ried, Janina S., additional, Smith, Albert V., additional, Thorleifsson, Gudmar, additional, Vandenput, Liesbeth, additional, Hua Zhao, Jing, additional, Zhang, Weihua, additional, Aghdassi, Ali, additional, Åkesson, Kristina, additional, Amin, Najaf, additional, Baier, Leslie J., additional, Barroso, Inês, additional, Bennett, David A., additional, Bertram, Lars, additional, Biffar, Rainer, additional, Bochud, Murielle, additional, Boehnke, Michael, additional, Borecki, Ingrid B., additional, Buchman, Aron S., additional, Byberg, Liisa, additional, Campbell, Harry, additional, Campos Obanda, Natalia, additional, Cauley, Jane A., additional, Cawthon, Peggy M., additional, Cederberg, Henna, additional, Chen, Zhao, additional, Cho, Nam H., additional, Jin Choi, Hyung, additional, Claussnitzer, Melina, additional, Collins, Francis, additional, Cummings, Steven R., additional, De Jager, Philip L., additional, Demuth, Ilja, additional, Dhonukshe-Rutten, Rosalie A. M., additional, Diatchenko, Luda, additional, Eiriksdottir, Gudny, additional, Enneman, Anke W., additional, Erdos, Mike, additional, Eriksson, Johan G., additional, Eriksson, Joel, additional, Estrada, Karol, additional, Evans, Daniel S., additional, Feitosa, Mary F., additional, Fu, Mao, additional, Garcia, Melissa, additional, Gieger, Christian, additional, Girke, Thomas, additional, Glazer, Nicole L., additional, Grallert, Harald, additional, Grewal, Jagvir, additional, Han, Bok-Ghee, additional, Hanson, Robert L., additional, Hayward, Caroline, additional, Hofman, Albert, additional, Hoffman, Eric P., additional, Homuth, Georg, additional, Hsueh, Wen-Chi, additional, Hubal, Monica J., additional, Hubbard, Alan, additional, Huffman, Kim M., additional, Husted, Lise B., additional, Illig, Thomas, additional, Ingelsson, Erik, additional, Ittermann, Till, additional, Jansson, John-Olov, additional, Jordan, Joanne M., additional, Jula, Antti, additional, Karlsson, Magnus, additional, Khaw, Kay-Tee, additional, Kilpeläinen, Tuomas O., additional, Klopp, Norman, additional, Kloth, Jacqueline S. L., additional, Koistinen, Heikki A., additional, Kraus, William E., additional, Kritchevsky, Stephen, additional, Kuulasmaa, Teemu, additional, Kuusisto, Johanna, additional, Laakso, Markku, additional, Lahti, Jari, additional, Lang, Thomas, additional, Langdahl, Bente L., additional, Launer, Lenore J., additional, Lee, Jong-Young, additional, Lerch, Markus M., additional, Lewis, Joshua R., additional, Lind, Lars, additional, Lindgren, Cecilia, additional, Liu, Yongmei, additional, Liu, Tian, additional, Liu, Youfang, additional, Ljunggren, Östen, additional, Lorentzon, Mattias, additional, Luben, Robert N., additional, Maixner, William, additional, McGuigan, Fiona E., additional, Medina-Gomez, Carolina, additional, Meitinger, Thomas, additional, Melhus, Håkan, additional, Mellström, Dan, additional, Melov, Simon, additional, Michaëlsson, Karl, additional, Mitchell, Braxton D., additional, Morris, Andrew P., additional, Mosekilde, Leif, additional, Newman, Anne, additional, Nielson, Carrie M., additional, O’Connell, Jeffrey R., additional, Oostra, Ben A., additional, Orwoll, Eric S., additional, Palotie, Aarno, additional, Parker, Stephen C. J., additional, Peacock, Munro, additional, Perola, Markus, additional, Peters, Annette, additional, Polasek, Ozren, additional, Prince, Richard L., additional, Räikkönen, Katri, additional, Ralston, Stuart H., additional, Ripatti, Samuli, additional, Robbins, John A., additional, Rotter, Jerome I., additional, Rudan, Igor, additional, Salomaa, Veikko, additional, Satterfield, Suzanne, additional, Schadt, Eric E., additional, Schipf, Sabine, additional, Scott, Laura, additional, Sehmi, Joban, additional, Shen, Jian, additional, Soo Shin, Chan, additional, Sigurdsson, Gunnar, additional, Smith, Shad, additional, Soranzo, Nicole, additional, Stančáková, Alena, additional, Steinhagen-Thiessen, Elisabeth, additional, Streeten, Elizabeth A., additional, Styrkarsdottir, Unnur, additional, Swart, Karin M. A., additional, Tan, Sian-Tsung, additional, Tarnopolsky, Mark A., additional, Thompson, Patricia, additional, Thomson, Cynthia A., additional, Thorsteinsdottir, Unnur, additional, Tikkanen, Emmi, additional, Tranah, Gregory J., additional, Tuomilehto, Jaakko, additional, van Schoor, Natasja M., additional, Verma, Arjun, additional, Vollenweider, Peter, additional, Völzke, Henry, additional, Wactawski-Wende, Jean, additional, Walker, Mark, additional, Weedon, Michael N., additional, Welch, Ryan, additional, Wichmann, H.-Erich, additional, Widen, Elisabeth, additional, Williams, Frances M. K., additional, Wilson, James F., additional, Wright, Nicole C., additional, Xie, Weijia, additional, Yu, Lei, additional, Zhou, Yanhua, additional, Chambers, John C., additional, Döring, Angela, additional, van Duijn, Cornelia M., additional, Econs, Michael J., additional, Gudnason, Vilmundur, additional, Kooner, Jaspal S., additional, Psaty, Bruce M., additional, Spector, Timothy D., additional, Stefansson, Kari, additional, Rivadeneira, Fernando, additional, Uitterlinden, André G., additional, Wareham, Nicholas J., additional, Ossowski, Vicky, additional, Waterworth, Dawn, additional, Loos, Ruth J. F., additional, Karasik, David, additional, Harris, Tamara B., additional, Ohlsson, Claes, additional, and Kiel, Douglas P., additional
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- 2017
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634. Abdominal aortic calcification on dual-energy X-ray absorptiometry: Methods of assessment and clinical significance
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Schousboe, John T., primary, Lewis, Joshua R., additional, and Kiel, Douglas P., additional
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- 2017
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635. Genome-scale Modeling of NADPH Metabolism in Radiation-resistant Head and Neck Squamous Cell Carcinoma Patients
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Lewis, Joshua E, primary and Kemp, Melissa L, additional
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- 2017
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636. Cruciferous and Allium Vegetable Intakes are Inversely Associated With 15‐Year Atherosclerotic Vascular Disease Deaths in Older Adult Women
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Blekkenhorst, Lauren C., primary, Bondonno, Catherine P., additional, Lewis, Joshua R., additional, Devine, Amanda, additional, Zhu, Kun, additional, Lim, Wai H., additional, Woodman, Richard J., additional, Beilin, Lawrence J., additional, Prince, Richard L., additional, and Hodgson, Jonathan M., additional
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- 2017
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637. Dietary fat composition, total body fat and regional body fat distribution in two Caucasian populations of middle-aged and older adult women
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Muka, Taulant, primary, Blekkenhorst, Lauren C., additional, Lewis, Joshua R., additional, Prince, Richar L., additional, Erler, Nicole S., additional, Hofman, Albert, additional, Franco, Oscar H., additional, Rivadeneira, Fernando, additional, and Kiefte-de Jong, Jessica C., additional
- Published
- 2017
- Full Text
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638. Inhibition of the receptor for advanced glycation end-products (RAGE) protects from secondhand smoke (SHS)-induced intrauterine growth restriction IUGR in mice
- Author
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Lewis, Joshua B., primary, Mejia, Camilo, additional, Jordan, Clinton, additional, Monson, Troy D., additional, Bodine, Jared S., additional, Dunaway, Todd M., additional, Egbert, Kaleb M., additional, Lewis, Adam L., additional, Wright, Tanner J., additional, Ogden, K. Connor, additional, Broberg, Dallin S., additional, Hall, Parker D., additional, Nelson, Shawn M., additional, Hirschi, Kelsey M., additional, Reynolds, Paul R., additional, and Arroyo, Juan A., additional
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- 2017
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639. Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models
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Yousefi, Safoora, primary, Amrollahi, Fatemeh, additional, Amgad, Mohamed, additional, Dong, Chengliang, additional, Lewis, Joshua E., additional, Song, Congzheng, additional, Gutman, David A., additional, Halani, Sameer H., additional, Velazquez Vega, Jose Enrique, additional, Brat, Daniel J., additional, and Cooper, Lee A. D., additional
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- 2017
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640. Socioecological disparities in New Orleans following Hurricane Katrina
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Lewis, Joshua A., primary, Zipperer, Wayne C., additional, Ernstson, Henrik, additional, Bernik, Brittany, additional, Hazen, Rebecca, additional, Elmqvist, Thomas, additional, and Blum, Michael J., additional
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- 2017
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641. Association Between High‐Sensitivity Cardiac Troponin I and Cardiac Events in Elderly Women
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Lewis, Joshua R., primary, Lim, Wai H., additional, Wong, Germaine, additional, Abbs, Samuel, additional, Zhu, Kun, additional, Lim, Ee M., additional, Thompson, Peter L., additional, and Prince, Richard L., additional
- Published
- 2017
- Full Text
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642. Cigarette smoke extract (CSE) induces RAGE-mediated inflammation in the Ca9-22 gingival carcinoma epithelial cell line
- Author
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Sanders, Nolan T., primary, Dutson, Derek J., additional, Durrant, Justin W., additional, Lewis, Joshua B., additional, Wilcox, Shalene H., additional, Winden, Duane R., additional, Arroyo, Juan A., additional, Bikman, Benjamin T., additional, and Reynolds, Paul R., additional
- Published
- 2017
- Full Text
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643. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
- Author
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Zillikens, M. Carola, primary, Demissie, Serkalem, additional, Hsu, Yi-Hsiang, additional, Yerges-Armstrong, Laura M., additional, Chou, Wen-Chi, additional, Stolk, Lisette, additional, Livshits, Gregory, additional, Broer, Linda, additional, Johnson, Toby, additional, Koller, Daniel L., additional, Kutalik, Zoltán, additional, Luan, Jian’an, additional, Malkin, Ida, additional, Ried, Janina S., additional, Smith, Albert V., additional, Thorleifsson, Gudmar, additional, Vandenput, Liesbeth, additional, Hua Zhao, Jing, additional, Zhang, Weihua, additional, Aghdassi, Ali, additional, Åkesson, Kristina, additional, Amin, Najaf, additional, Baier, Leslie J., additional, Barroso, Inês, additional, Bennett, David A., additional, Bertram, Lars, additional, Biffar, Rainer, additional, Bochud, Murielle, additional, Boehnke, Michael, additional, Borecki, Ingrid B., additional, Buchman, Aron S., additional, Byberg, Liisa, additional, Campbell, Harry, additional, Campos Obanda, Natalia, additional, Cauley, Jane A., additional, Cawthon, Peggy M., additional, Cederberg, Henna, additional, Chen, Zhao, additional, Cho, Nam H., additional, Jin Choi, Hyung, additional, Claussnitzer, Melina, additional, Collins, Francis, additional, Cummings, Steven R., additional, De Jager, Philip L., additional, Demuth, Ilja, additional, Dhonukshe-Rutten, Rosalie A. M., additional, Diatchenko, Luda, additional, Eiriksdottir, Gudny, additional, Enneman, Anke W., additional, Erdos, Mike, additional, Eriksson, Johan G., additional, Eriksson, Joel, additional, Estrada, Karol, additional, Evans, Daniel S., additional, Feitosa, Mary F., additional, Fu, Mao, additional, Garcia, Melissa, additional, Gieger, Christian, additional, Girke, Thomas, additional, Glazer, Nicole L., additional, Grallert, Harald, additional, Grewal, Jagvir, additional, Han, Bok-Ghee, additional, Hanson, Robert L., additional, Hayward, Caroline, additional, Hofman, Albert, additional, Hoffman, Eric P., additional, Homuth, Georg, additional, Hsueh, Wen-Chi, additional, Hubal, Monica J., additional, Hubbard, Alan, additional, Huffman, Kim M., additional, Husted, Lise B., additional, Illig, Thomas, additional, Ingelsson, Erik, additional, Ittermann, Till, additional, Jansson, John-Olov, additional, Jordan, Joanne M., additional, Jula, Antti, additional, Karlsson, Magnus, additional, Khaw, Kay-Tee, additional, Kilpeläinen, Tuomas O., additional, Klopp, Norman, additional, Kloth, Jacqueline S. L., additional, Koistinen, Heikki A., additional, Kraus, William E., additional, Kritchevsky, Stephen, additional, Kuulasmaa, Teemu, additional, Kuusisto, Johanna, additional, Laakso, Markku, additional, Lahti, Jari, additional, Lang, Thomas, additional, Langdahl, Bente L., additional, Launer, Lenore J., additional, Lee, Jong-Young, additional, Lerch, Markus M., additional, Lewis, Joshua R., additional, Lind, Lars, additional, Lindgren, Cecilia, additional, Liu, Yongmei, additional, Liu, Tian, additional, Liu, Youfang, additional, Ljunggren, Östen, additional, Lorentzon, Mattias, additional, Luben, Robert N., additional, Maixner, William, additional, McGuigan, Fiona E., additional, Medina-Gomez, Carolina, additional, Meitinger, Thomas, additional, Melhus, Håkan, additional, Mellström, Dan, additional, Melov, Simon, additional, Michaëlsson, Karl, additional, Mitchell, Braxton D., additional, Morris, Andrew P., additional, Mosekilde, Leif, additional, Newman, Anne, additional, Nielson, Carrie M., additional, O’Connell, Jeffrey R., additional, Oostra, Ben A., additional, Orwoll, Eric S., additional, Palotie, Aarno, additional, Parker, Stephen C. J., additional, Peacock, Munro, additional, Perola, Markus, additional, Peters, Annette, additional, Polasek, Ozren, additional, Prince, Richard L., additional, Räikkönen, Katri, additional, Ralston, Stuart H., additional, Ripatti, Samuli, additional, Robbins, John A., additional, Rotter, Jerome I., additional, Rudan, Igor, additional, Salomaa, Veikko, additional, Satterfield, Suzanne, additional, Schadt, Eric E., additional, Schipf, Sabine, additional, Scott, Laura, additional, Sehmi, Joban, additional, Shen, Jian, additional, Soo Shin, Chan, additional, Sigurdsson, Gunnar, additional, Smith, Shad, additional, Soranzo, Nicole, additional, Stančáková, Alena, additional, Steinhagen-Thiessen, Elisabeth, additional, Streeten, Elizabeth A., additional, Styrkarsdottir, Unnur, additional, Swart, Karin M. A., additional, Tan, Sian-Tsung, additional, Tarnopolsky, Mark A., additional, Thompson, Patricia, additional, Thomson, Cynthia A., additional, Thorsteinsdottir, Unnur, additional, Tikkanen, Emmi, additional, Tranah, Gregory J., additional, Tuomilehto, Jaakko, additional, van Schoor, Natasja M., additional, Verma, Arjun, additional, Vollenweider, Peter, additional, Völzke, Henry, additional, Wactawski-Wende, Jean, additional, Walker, Mark, additional, Weedon, Michael N., additional, Welch, Ryan, additional, Wichmann, H.-Erich, additional, Widen, Elisabeth, additional, Williams, Frances M. K., additional, Wilson, James F., additional, Wright, Nicole C., additional, Xie, Weijia, additional, Yu, Lei, additional, Zhou, Yanhua, additional, Chambers, John C., additional, Döring, Angela, additional, van Duijn, Cornelia M., additional, Econs, Michael J., additional, Gudnason, Vilmundur, additional, Kooner, Jaspal S., additional, Psaty, Bruce M., additional, Spector, Timothy D., additional, Stefansson, Kari, additional, Rivadeneira, Fernando, additional, Uitterlinden, André G., additional, Wareham, Nicholas J., additional, Ossowski, Vicky, additional, Waterworth, Dawn, additional, Loos, Ruth J. F., additional, Karasik, David, additional, Harris, Tamara B., additional, Ohlsson, Claes, additional, and Kiel, Douglas P., additional
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- 2017
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644. Association of Vegetable Nitrate Intake With Carotid Atherosclerosis and Ischemic Cerebrovascular Disease in Older Women
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Bondonno, Catherine P., primary, Blekkenhorst, Lauren C., additional, Prince, Richard L., additional, Ivey, Kerry L., additional, Lewis, Joshua R., additional, Devine, Amanda, additional, Woodman, Richard J., additional, Lundberg, Jon O., additional, Croft, Kevin D., additional, Thompson, Peter L., additional, and Hodgson, Jonathan M., additional
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- 2017
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645. Association of dietary nitrate with atherosclerotic vascular disease mortality: a prospective cohort study of older adult women
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Blekkenhorst, Lauren C, primary, Bondonno, Catherine P, additional, Lewis, Joshua R, additional, Devine, Amanda, additional, Woodman, Richard J, additional, Croft, Kevin D, additional, Lim, Wai H, additional, Wong, Germaine, additional, Beilin, Lawrence J, additional, Prince, Richard L, additional, and Hodgson, Jonathan M, additional
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- 2017
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646. Dietary inflammatory index in relation to sub-clinical atherosclerosis and atherosclerotic vascular disease mortality in older women
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Bondonno, Nicola P., primary, Lewis, Joshua R., additional, Blekkenhorst, Lauren C., additional, Shivappa, Nitin, additional, Woodman, Richard J., additional, Bondonno, Catherine P., additional, Ward, Natalie C., additional, Hébert, James R., additional, Thompson, Peter L., additional, Prince, Richard L., additional, and Hodgson, Jonathan M., additional
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- 2017
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647. Vegetable and Fruit Intake and Fracture-Related Hospitalisations: A Prospective Study of Older Women
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Blekkenhorst, Lauren, primary, Hodgson, Jonathan, additional, Lewis, Joshua, additional, Devine, Amanda, additional, Woodman, Richard, additional, Lim, Wai, additional, Wong, Germaine, additional, Zhu, Kun, additional, Bondonno, Catherine, additional, Ward, Natalie, additional, and Prince, Richard, additional
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- 2017
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648. Development of a reference database for assessing dietary nitrate in vegetables
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Blekkenhorst, Lauren C., primary, Prince, Richard L., additional, Ward, Natalie C., additional, Croft, Kevin D., additional, Lewis, Joshua R., additional, Devine, Amanda, additional, Shinde, Sujata, additional, Woodman, Richard J., additional, Hodgson, Jonathan M., additional, and Bondonno, Catherine P., additional
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- 2017
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649. Calcium Intake and Cardiovascular Disease Risk
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Lewis, Joshua R., primary and Prince, Richard L., additional
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- 2017
- Full Text
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650. Inhibition of the Receptor for Advanced Glycation End‐products (RAGE) protects from secondhand smoke (SHS) induced intrauterine growth restriction (IUGR) in mice
- Author
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Lewis, Joshua B, primary, Mejia, Camilo A, additional, Jordan, Clinton, additional, Monson, Troy D, additional, Bodine, Jared S, additional, Dunaway, Todd M, additional, Egbert, Kaleb M, additional, Wright, Tanner J, additional, Ogden, K Connor, additional, Broberg, Dallin S, additional, Hall, Parker D, additional, Nelson, Shawn M, additional, Hirschi, Kelsey M, additional, Reynolds, Paul R, additional, and Arroyo, Juan A, additional
- Published
- 2017
- Full Text
- View/download PDF
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