2,917 results on '"Mosley, Thomas"'
Search Results
102. Antihypertensive medications and risk for incident dementia and Alzheimer's disease: a meta-analysis of individual participant data from prospective cohort studies
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Ding, Jie, Davis-Plourde, Kendra L, Sedaghat, Sanaz, Tully, Phillip J, Wang, Wanmei, Phillips, Caroline, Pase, Matthew P, Himali, Jayandra J, Gwen Windham, B, Griswold, Michael, Gottesman, Rebecca, Mosley, Thomas H, White, Lon, Guðnason, Vilmundur, Debette, Stéphanie, Beiser, Alexa S, Seshadri, Sudha, Ikram, M Arfan, Meirelles, Osorio, Tzourio, Christophe, and Launer, Lenore J
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- 2020
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103. Association of Plasma YKL-40 With MRI, CSF, and Cognitive Markers of Brain Health and Dementia
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Pase, Matthew P., primary, Himali, Jayandra J., additional, Puerta, Raquel, additional, Beiser, Alexa S., additional, Gonzales, Mitzi M., additional, Satizabal, Claudia L., additional, Yang, Qiong, additional, Aparicio, Hugo J., additional, Kojis, Daniel J., additional, Decarli, Charles S., additional, Lopez, Oscar L., additional, Longstreth, Will, additional, Gudnason, Vilmundur, additional, Mosley, Thomas H., additional, Bis, Joshua C., additional, Fohner, Alison, additional, Psaty, Bruce M., additional, Boada, Mercè, additional, García-González, Pablo, additional, Valero, Sergi, additional, Marquié, Marta, additional, Tracy, Russell, additional, Launer, Lenore J., additional, Ruiz, Agustín, additional, Fornage, Myriam, additional, and Seshadri, Sudha, additional
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- 2024
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104. Abstract WMP13: The Modifying Effects of Psychosocial Health on the Association Between Cerebrovascular Health and Dementia Risk: The Atherosclerosis Risk in Communities (ARIC) Neurocognitive Study
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Eswaran, Surabhee, primary, Gottesman, Rebecca F, additional, Kucharska-Newton, Anna M, additional, Koton, Silvia, additional, Liu, Albert C, additional, Liu, Chelsea, additional, Lutsey, Pamela L, additional, Mosley, Thomas H, additional, Palta, Priya, additional, Sharrett, A R, additional, Sullivan, Kevin J, additional, Walker, Keenan, additional, and Groechel, Renee C, additional
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- 2024
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105. Abstract TP35: A 2-Stage Recruitment Design to Reduce MRI Screening Costs for a Theoretical Clinical Trial of WMH Progression
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Egle, Marco, primary, Power, Melinda, additional, Deal, Jennifer A, additional, Jack, Clifford R., additional, Sullivan, Kevin J, additional, Mosley, Thomas H, additional, and Gottesman, Rebecca F, additional
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- 2024
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106. Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance
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Mei, Hao, primary, Simino, Jeannette, additional, Li, Lianna, additional, Jiang, Fan, additional, Bis, Joshua C., additional, Davies, Gail, additional, Hill, W David, additional, Xia, Charley, additional, Gudnason, Vilmundur, additional, Yang, Qiong, additional, Lahti, Jari, additional, Smith, Jennifer A., additional, Kirin, Mirna, additional, De Jager, Philip, additional, Armstrong, Nicola J., additional, Ghanbari, Mohsen, additional, Kolcic, Ivana, additional, Moran, Christopher, additional, Teumer, Alexander, additional, Sargurupremraj, Murali, additional, Mahmud, Shamsed, additional, Fornage, Myriam, additional, Zhao, Wei, additional, Satizabal, Claudia L., additional, Polasek, Ozren, additional, Räikkönen, Katri, additional, Liewald, David C., additional, Homuth, Georg, additional, Callisaya, Michele, additional, Mather, Karen A., additional, Windham, B. Gwen, additional, Zemunik, Tatijana, additional, Palotie, Aarno, additional, Pattie, Alison, additional, van der Auwera, Sandra, additional, Thalamuthu, Anbupalam, additional, Knopman, David S., additional, Rudan, Igor, additional, Starr, John M., additional, Wittfeld, Katharina, additional, Kochan, Nicole A., additional, Griswold, Michael E., additional, Vitart, Veronique, additional, Brodaty, Henry, additional, Gottesman, Rebecca, additional, Cox, Simon R., additional, Psaty, Bruce M., additional, Boerwinkle, Eric, additional, Chasman, Daniel I., additional, Grodstein, Francine, additional, Sachdev, Perminder S., additional, Srikanth, Velandai, additional, Hayward, Caroline, additional, Wilson, James F., additional, Eriksson, Johan G., additional, Kardia, Sharon L. R., additional, Grabe, Hans J., additional, Bennett, David A., additional, Ikram, M. Arfan, additional, Deary, Ian J., additional, van Duijn, Cornelia M., additional, Launer, Lenore, additional, Fitzpatrick, Annette L., additional, Seshadri, Sudha, additional, Bressler, Jan, additional, Debette, Stephanie, additional, and Mosley, Thomas H., additional
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- 2024
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107. Multi-ancestry transcriptome-wide association studies of cognitive function, white matter hyperintensity, and Alzheimer’s disease
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Chaar, Dima L., primary, Li, Zheng, additional, Shang, Lulu, additional, Ratliff, Scott M., additional, Mosley, Thomas H., additional, Kardia, Sharon L.R., additional, Zhao, Wei, additional, Zhou, X., additional, and Smith, J.A., additional
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- 2024
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108. Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis
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Natarajan, Pradeep, Bis, Joshua C, Bielak, Lawrence F, Cox, Amanda J, Dörr, Marcus, Feitosa, Mary F, Franceschini, Nora, Guo, Xiuqing, Hwang, Shih-Jen, Isaacs, Aaron, Jhun, Min A, Kavousi, Maryam, Li-Gao, Ruifang, Lyytikäinen, Leo-Pekka, Marioni, Riccardo E, Schminke, Ulf, Stitziel, Nathan O, Tada, Hayato, van Setten, Jessica, Smith, Albert V, Vojinovic, Dina, Yanek, Lisa R, Yao, Jie, Yerges-Armstrong, Laura M, Amin, Najaf, Baber, Usman, Borecki, Ingrid B, Carr, J Jeffrey, Chen, Yii-Der Ida, Cupples, L Adrienne, de Jong, Pim A, de Koning, Harry, de Vos, Bob D, Demirkan, Ayse, Fuster, Valentin, Franco, Oscar H, Goodarzi, Mark O, Harris, Tamara B, Heckbert, Susan R, Heiss, Gerardo, Hoffmann, Udo, Hofman, Albert, Išgum, Ivana, Jukema, J Wouter, Kähönen, Mika, Kardia, Sharon LR, Kral, Brian G, Launer, Lenore J, Massaro, Joe, Mehran, Roxana, Mitchell, Braxton D, Mosley, Thomas H, de Mutsert, Renée, Newman, Anne B, Nguyen, Khanh-Dung, North, Kari E, O'Connell, Jeffrey R, Oudkerk, Matthijs, Pankow, James S, Peloso, Gina M, Post, Wendy, Province, Michael A, Raffield, Laura M, Raitakari, Olli T, Reilly, Dermot F, Rivadeneira, Fernando, Rosendaal, Frits, Sartori, Samantha, Taylor, Kent D, Teumer, Alexander, Trompet, Stella, Turner, Stephen T, Uitterlinden, Andre G, Vaidya, Dhananjay, van der Lugt, Aad, Völker, Uwe, Wardlaw, Joanna M, Wassel, Christina L, Weiss, Stefan, Wojczynski, Mary K, Becker, Diane M, Becker, Lewis C, Boerwinkle, Eric, Bowden, Donald W, Deary, Ian J, Dehghan, Abbas, Felix, Stephan B, Gudnason, Vilmundur, Lehtimäki, Terho, Mathias, Rasika, Mook-Kanamori, Dennis O, Psaty, Bruce M, Rader, Daniel J, Rotter, Jerome I, Wilson, James G, van Duijn, Cornelia M, Völzke, Henry, Kathiresan, Sekar, Peyser, Patricia A, and O'Donnell, Christopher J
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Heart Disease - Coronary Heart Disease ,Aging ,Human Genome ,Atherosclerosis ,Cardiovascular ,Heart Disease ,Clinical Research ,Genetics ,Aetiology ,2.1 Biological and endogenous factors ,Good Health and Well Being ,Apolipoprotein B-100 ,Apolipoprotein E2 ,Asymptomatic Diseases ,Black People ,Carotid Artery Diseases ,Carotid Intima-Media Thickness ,Cholesterol ,LDL ,Computed Tomography Angiography ,Coronary Angiography ,Coronary Artery Disease ,Exome ,Gene Frequency ,Genetic Markers ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Odds Ratio ,Oligonucleotide Array Sequence Analysis ,Phenotype ,Prognosis ,Risk Assessment ,Risk Factors ,Vascular Calcification ,White People ,carotid intima-media thickness ,coronary artery calcification ,exome ,genome-wide association study ,genomics ,CHARGE Consortium ,carotid intima–media thickness ,Medical Biotechnology ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology - Abstract
BackgroundThe burden of subclinical atherosclerosis in asymptomatic individuals is heritable and associated with elevated risk of developing clinical coronary heart disease. We sought to identify genetic variants in protein-coding regions associated with subclinical atherosclerosis and the risk of subsequent coronary heart disease.Methods and resultsWe studied a total of 25 109 European ancestry and African ancestry participants with coronary artery calcification (CAC) measured by cardiac computed tomography and 52 869 participants with common carotid intima-media thickness measured by ultrasonography within the CHARGE Consortium (Cohorts for Heart and Aging Research in Genomic Epidemiology). Participants were genotyped for 247 870 DNA sequence variants (231 539 in exons) across the genome. A meta-analysis of exome-wide association studies was performed across cohorts for CAC and carotid intima-media thickness. APOB p.Arg3527Gln was associated with 4-fold excess CAC (P=3×10-10). The APOE ε2 allele (p.Arg176Cys) was associated with both 22.3% reduced CAC (P=1×10-12) and 1.4% reduced carotid intima-media thickness (P=4×10-14) in carriers compared with noncarriers. In secondary analyses conditioning on low-density lipoprotein cholesterol concentration, the ε2 protective association with CAC, although attenuated, remained strongly significant. Additionally, the presence of ε2 was associated with reduced risk for coronary heart disease (odds ratio 0.77; P=1×10-11).ConclusionsExome-wide association meta-analysis demonstrates that protein-coding variants in APOB and APOE associate with subclinical atherosclerosis. APOE ε2 represents the first significant association for multiple subclinical atherosclerosis traits across multiple ethnicities, as well as clinical coronary heart disease.
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- 2016
109. Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin
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Liu, Ching-Ti, Raghavan, Sridharan, Maruthur, Nisa, Kabagambe, Edmond Kato, Hong, Jaeyoung, Ng, Maggie CY, Hivert, Marie-France, Lu, Yingchang, An, Ping, Bentley, Amy R, Drolet, Anne M, Gaulton, Kyle J, Guo, Xiuqing, Armstrong, Loren L, Irvin, Marguerite R, Li, Man, Lipovich, Leonard, Rybin, Denis V, Taylor, Kent D, Agyemang, Charles, Palmer, Nicholette D, Cade, Brian E, Chen, Wei-Min, Dauriz, Marco, Delaney, Joseph AC, Edwards, Todd L, Evans, Daniel S, Evans, Michele K, Lange, Leslie A, Leong, Aaron, Liu, Jingmin, Liu, Yongmei, Nayak, Uma, Patel, Sanjay R, Porneala, Bianca C, Rasmussen-Torvik, Laura J, Snijder, Marieke B, Stallings, Sarah C, Tanaka, Toshiko, Yanek, Lisa R, Zhao, Wei, Becker, Diane M, Bielak, Lawrence F, Biggs, Mary L, Bottinger, Erwin P, Bowden, Donald W, Chen, Guanjie, Correa, Adolfo, Couper, David J, Crawford, Dana C, Cushman, Mary, Eicher, John D, Fornage, Myriam, Franceschini, Nora, Fu, Yi-Ping, Goodarzi, Mark O, Gottesman, Omri, Hara, Kazuo, Harris, Tamara B, Jensen, Richard A, Johnson, Andrew D, Jhun, Min A, Karter, Andrew J, Keller, Margaux F, Kho, Abel N, Kizer, Jorge R, Krauss, Ronald M, Langefeld, Carl D, Li, Xiaohui, Liang, Jingling, Liu, Simin, Lowe, William L, Mosley, Thomas H, North, Kari E, Pacheco, Jennifer A, Peyser, Patricia A, Patrick, Alan L, Rice, Kenneth M, Selvin, Elizabeth, Sims, Mario, Smith, Jennifer A, Tajuddin, Salman M, Vaidya, Dhananjay, Wren, Mary P, Yao, Jie, Zhu, Xiaofeng, Ziegler, Julie T, Zmuda, Joseph M, Zonderman, Alan B, Zwinderman, Aeilko H, Consortium, AAAG, Consortium, CARe, Consortium, COGENT-BP, Consortium, eMERGE, Consortium, MEDIA, Adeyemo, Adebowale, Boerwinkle, Eric, Ferrucci, Luigi, Hayes, M Geoffrey, and Kardia, Sharon LR
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Epidemiology ,Biological Sciences ,Health Sciences ,Genetics ,Health Disparities ,Human Genome ,Diabetes ,Minority Health ,Metabolic and endocrine ,Asian People ,Black People ,Blood Glucose ,Diabetes Mellitus ,Type 2 ,Enhancer Elements ,Genetic ,Ethnicity ,Fasting ,Female ,Gene Frequency ,Genome-Wide Association Study ,Humans ,Insulin ,Insulin Resistance ,Introns ,Islets of Langerhans ,Male ,Molecular Sequence Annotation ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Racial Groups ,Transcription Factors ,White People ,AAAG Consortium ,CARe Consortium ,COGENT-BP Consortium ,eMERGE Consortium ,MEDIA Consortium ,MAGIC Consortium ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Knowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.
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- 2016
110. Life’s Simple 7’s Cardiovascular Health Metrics are Associated with Hispanic/Latino Neurocognitive Function: HCHS/SOL Results
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González, Hector M, Tarraf, Wassim, Gouskova, Natalia, Rodríguez, Carlos J, Rundek, Tatjana, Grober, Ellen, Pirzada, Amber, González, Patricia, Lutsey, Pamela L, Camacho, Alvaro, Daviglus, Martha L, Wright, Clinton, and Mosley, Thomas H
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Behavioral and Social Science ,Dementia ,Brain Disorders ,Cardiovascular ,Prevention ,Neurosciences ,Clinical Research ,Acquired Cognitive Impairment ,Basic Behavioral and Social Science ,Good Health and Well Being ,Adolescent ,Adult ,Age Distribution ,Aged ,Cardiovascular Diseases ,Cultural Characteristics ,Female ,Hispanic or Latino ,Humans ,Logistic Models ,Male ,Middle Aged ,Neuropsychological Tests ,Sex Factors ,Young Adult ,Cardiovascular system ,cognition ,epidemiology ,Hispanic Americans ,Clinical Sciences ,Cognitive Sciences ,Neurology & Neurosurgery - Abstract
BackgroundHispanics/Latinos are purportedly at increased risk for neurocognitive decline and dementias. Without dementia cures, low-cost, well-tolerated public health means for mitigating neurocognitive decline are needed.ObjectiveWe examined associations between neurocognition and cardiovascular health (CVH) metrics (Life's Simple 7; LS7) among diverse Hispanics/Latinos. We hypothesized that higher LS7 would be associated with healthier brain function (neurocognitive performance).MethodsWe used baseline (2008-2011) Hispanic Community Health Study/Study of Latinos (HCHS/SOL; N = 9,623; ages 45-74 years) to examine neurocognition in relation to CVH LS7 scores.ResultsIn age and sex adjusted models, a one unit LS7 score increase (range = 0-14) was associated with higher neurocognitive function on the B-SEVLT sum (0.23 [p
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- 2016
111. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries
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Mishra, Aniket, Malik, Rainer, Hachiya, Tsuyoshi, Jürgenson, Tuuli, Namba, Shinichi, Posner, Daniel C., Kamanu, Frederick K., Koido, Masaru, Le Grand, Quentin, Shi, Mingyang, He, Yunye, Georgakis, Marios K., Caro, Ilana, Krebs, Kristi, Liaw, Yi-Ching, Vaura, Felix C., Lin, Kuang, Winsvold, Bendik Slagsvold, Srinivasasainagendra, Vinodh, Parodi, Livia, Bae, Hee-Joon, Chauhan, Ganesh, Chong, Michael R., Tomppo, Liisa, Akinyemi, Rufus, Roshchupkin, Gennady V., Habib, Naomi, Jee, Yon Ho, Thomassen, Jesper Qvist, Abedi, Vida, Cárcel-Márquez, Jara, Nygaard, Marianne, Leonard, Hampton L., Yang, Chaojie, Yonova-Doing, Ekaterina, Knol, Maria J., Lewis, Adam J., Judy, Renae L., Ago, Tetsuro, Amouyel, Philippe, Armstrong, Nicole D., Bakker, Mark K., Bartz, Traci M., Bennett, David A., Bis, Joshua C., Bordes, Constance, Børte, Sigrid, Cain, Anael, Ridker, Paul M., Cho, Kelly, Chen, Zhengming, Cruchaga, Carlos, Cole, John W., de Jager, Phil L., de Cid, Rafael, Endres, Matthias, Ferreira, Leslie E., Geerlings, Mirjam I., Gasca, Natalie C., Gudnason, Vilmundur, Hata, Jun, He, Jing, Heath, Alicia K., Ho, Yuk-Lam, Havulinna, Aki S., Hopewell, Jemma C., Hyacinth, Hyacinth I., Inouye, Michael, Jacob, Mina A., Jeon, Christina E., Jern, Christina, Kamouchi, Masahiro, Keene, Keith L., Kitazono, Takanari, Kittner, Steven J., Konuma, Takahiro, Kumar, Amit, Lacaze, Paul, Launer, Lenore J., Lee, Keon-Joo, Lepik, Kaido, Li, Jiang, Li, Liming, Manichaikul, Ani, Markus, Hugh S., Marston, Nicholas A., Meitinger, Thomas, Mitchell, Braxton D., Montellano, Felipe A., Morisaki, Takayuki, Mosley, Thomas H., Nalls, Mike A., Nordestgaard, Børge G., O’Donnell, Martin J., Okada, Yukinori, Onland-Moret, N. Charlotte, Ovbiagele, Bruce, Peters, Annette, Psaty, Bruce M., Rich, Stephen S., Rosand, Jonathan, Sabatine, Marc S., Sacco, Ralph L., Saleheen, Danish, Sandset, Else Charlotte, Salomaa, Veikko, Sargurupremraj, Muralidharan, Sasaki, Makoto, Satizabal, Claudia L., Schmidt, Carsten O., Shimizu, Atsushi, Smith, Nicholas L., Sloane, Kelly L., Sutoh, Yoichi, Sun, Yan V., Tanno, Kozo, Tiedt, Steffen, Tatlisumak, Turgut, Torres-Aguila, Nuria P., Tiwari, Hemant K., Trégouët, David-Alexandre, Trompet, Stella, Tuladhar, Anil Man, Tybjærg-Hansen, Anne, van Vugt, Marion, Vibo, Riina, Verma, Shefali S., Wiggins, Kerri L., Wennberg, Patrik, Woo, Daniel, Wilson, Peter W. F., Xu, Huichun, Yang, Qiong, Yoon, Kyungheon, Millwood, Iona Y., Gieger, Christian, Ninomiya, Toshiharu, Grabe, Hans J., Jukema, J. Wouter, Rissanen, Ina L., Strbian, Daniel, Kim, Young Jin, Chen, Pei-Hsin, Mayerhofer, Ernst, Howson, Joanna M. M., Irvin, Marguerite R., Adams, Hieab, Wassertheil-Smoller, Sylvia, Christensen, Kaare, Ikram, Mohammad A., Rundek, Tatjana, Worrall, Bradford B., Lathrop, G. Mark, Riaz, Moeen, Simonsick, Eleanor M., Kõrv, Janika, França, Paulo H. C., Zand, Ramin, Prasad, Kameshwar, Frikke-Schmidt, Ruth, de Leeuw, Frank-Erik, Liman, Thomas, Haeusler, Karl Georg, Ruigrok, Ynte M., Heuschmann, Peter Ulrich, Longstreth, W. T., Jung, Keum Ji, Bastarache, Lisa, Paré, Guillaume, Damrauer, Scott M., Chasman, Daniel I., Rotter, Jerome I., Anderson, Christopher D., Zwart, John-Anker, Niiranen, Teemu J., Fornage, Myriam, Liaw, Yung-Po, Seshadri, Sudha, Fernández-Cadenas, Israel, Walters, Robin G., Ruff, Christian T., Owolabi, Mayowa O., Huffman, Jennifer E., Milani, Lili, Kamatani, Yoichiro, Dichgans, Martin, and Debette, Stephanie
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- 2022
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112. Study of genetic correlation between children’s sleep and obesity
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Mei, Hao, Jiang, Fan, Li, Lianna, Griswold, Michael, Liu, Shijian, and Mosley, Thomas
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- 2020
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113. Aging exacerbates impairments of cerebral blood flow autoregulation and cognition in diabetic rats
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Wang, Shaoxun, Lv, Wenshan, Zhang, Huawei, Liu, Yedan, Li, Longyang, Jefferson, Joshua R., Guo, Ya, Li, Man, Gao, Wenjun, Fang, Xing, Paul, Ian A., Rajkowska, Grazyna, Shaffery, James P., Mosley, Thomas H., Hu, Xinlin, Liu, Ruen, Wang, Yangang, Yu, Hongwei, Roman, Richard J., and Fan, Fan
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- 2020
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114. White Matter Lesion Progression
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Hofer, Edith, Cavalieri, Margherita, Bis, Joshua C, DeCarli, Charles, Fornage, Myriam, Sigurdsson, Sigurdur, Srikanth, Velandai, Trompet, Stella, Verhaaren, Benjamin FJ, Wolf, Christiane, Yang, Qiong, Adams, Hieab HH, Amouyel, Philippe, Beiser, Alexa, Buckley, Brendan M, Callisaya, Michele, Chauhan, Ganesh, de Craen, Anton JM, Dufouil, Carole, van Duijn, Cornelia M, Ford, Ian, Freudenberger, Paul, Gottesman, Rebecca F, Gudnason, Vilmundur, Heiss, Gerardo, Hofman, Albert, Lumley, Thomas, Martinez, Oliver, Mazoyer, Bernard, Moran, Chris, Niessen, Wiro J, Phan, Thanh, Psaty, Bruce M, Satizabal, Claudia L, Sattar, Naveed, Schilling, Sabrina, Shibata, Dean K, Slagboom, P Eline, Smith, Albert, Stott, David J, Taylor, Kent D, Thomson, Russell, Töglhofer, Anna M, Tzourio, Christophe, van Buchem, Mark, Wang, Jing, Westendorp, Rudi GJ, Windham, B Gwen, Vernooij, Meike W, Zijdenbos, Alex, Beare, Richard, Debette, Stéphanie, Ikram, M Arfan, Jukema, J Wouter, Launer, Lenore J, Longstreth, WT, Mosley, Thomas H, Seshadri, Sudha, Schmidt, Helena, and Schmidt, Reinhold
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Aging ,Clinical Research ,Genetics ,Human Genome ,Prevention ,Cardiovascular ,Aetiology ,2.1 Biological and endogenous factors ,Adult ,Aged ,Cohort Studies ,Disease Progression ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Leukoencephalopathies ,Male ,Middle Aged ,Prospective Studies ,White Matter ,Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium ,aging ,biological factors ,cerebral small vessel diseases ,magnetic resonance imaging ,white matter lesions ,Cardiorespiratory Medicine and Haematology ,Clinical Sciences ,Neurosciences ,Neurology & Neurosurgery - Abstract
Background and purposeWhite matter lesion (WML) progression on magnetic resonance imaging is related to cognitive decline and stroke, but its determinants besides baseline WML burden are largely unknown. Here, we estimated heritability of WML progression, and sought common genetic variants associated with WML progression in elderly participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.MethodsHeritability of WML progression was calculated in the Framingham Heart Study. The genome-wide association study included 7773 elderly participants from 10 cohorts. To assess the relative contribution of genetic factors to progression of WML, we compared in 7 cohorts risk models including demographics, vascular risk factors plus single-nucleotide polymorphisms that have been shown to be associated cross-sectionally with WML in the current and previous association studies.ResultsA total of 1085 subjects showed WML progression. The heritability estimate for WML progression was low at 6.5%, and no single-nucleotide polymorphisms achieved genome-wide significance (P
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- 2015
115. Meta-Analysis of Genome-Wide Association Studies Identifies Genetic Risk Factors for Stroke in African Americans
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Carty, Cara L, Keene, Keith L, Cheng, Yu-Ching, Meschia, James F, Chen, Wei-Min, Nalls, Mike, Bis, Joshua C, Kittner, Steven J, Rich, Stephen S, Tajuddin, Salman, Zonderman, Alan B, Evans, Michele K, Langefeld, Carl D, Gottesman, Rebecca, Mosley, Thomas H, Shahar, Eyal, Woo, Daniel, Yaffe, Kristine, Liu, Yongmei, Sale, Michèle M, Dichgans, Martin, Malik, Rainer, Longstreth, WT, Mitchell, Braxton D, Psaty, Bruce M, Kooperberg, Charles, Reiner, Alexander, Worrall, Bradford B, and Fornage, Myriam
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Human Genome ,Stroke ,Brain Disorders ,Genetics ,Aetiology ,2.1 Biological and endogenous factors ,African Americans ,Case-Control Studies ,Cohort Studies ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Polymorphism ,Single Nucleotide ,Risk Factors ,genetic association studies ,genome-wide association study ,meta-analysis ,stroke ,COMPASS and METASTROKE Consortia ,Black or African American ,Cardiorespiratory Medicine and Haematology ,Clinical Sciences ,Neurosciences ,Neurology & Neurosurgery - Abstract
Background and purposeThe majority of genome-wide association studies (GWAS) of stroke have focused on European-ancestry populations; however, none has been conducted in African Americans, despite the disproportionately high burden of stroke in this population. The Consortium of Minority Population Genome-Wide Association Studies of Stroke (COMPASS) was established to identify stroke susceptibility loci in minority populations.MethodsUsing METAL, we conducted meta-analyses of GWAS in 14 746 African Americans (1365 ischemic and 1592 total stroke cases) from COMPASS, and tested genetic variants with P
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- 2015
116. Association of Alzheimer's disease GWAS loci with MRI markers of brain aging
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Chauhan, Ganesh, Adams, Hieab HH, Bis, Joshua C, Weinstein, Galit, Yu, Lei, Töglhofer, Anna Maria, Smith, Albert Vernon, van der Lee, Sven J, Gottesman, Rebecca F, Thomson, Russell, Wang, Jing, Yang, Qiong, Niessen, Wiro J, Lopez, Oscar L, Becker, James T, Phan, Thanh G, Beare, Richard J, Arfanakis, Konstantinos, Fleischman, Debra, Vernooij, Meike W, Mazoyer, Bernard, Schmidt, Helena, Srikanth, Velandai, Knopman, David S, Jack, Clifford R, Amouyel, Philippe, Hofman, Albert, DeCarli, Charles, Tzourio, Christophe, van Duijn, Cornelia M, Bennett, David A, Schmidt, Reinhold, Longstreth, William T, Mosley, Thomas H, Fornage, Myriam, Launer, Lenore J, Seshadri, Sudha, Ikram, M Arfan, and Debette, Stephanie
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Biological Psychology ,Biomedical and Clinical Sciences ,Neurosciences ,Psychology ,Clinical Research ,Prevention ,Brain Disorders ,Neurodegenerative ,Alzheimer's Disease ,Aging ,Acquired Cognitive Impairment ,Genetics ,Human Genome ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Dementia ,Aetiology ,4.1 Discovery and preclinical testing of markers and technologies ,Detection ,screening and diagnosis ,2.1 Biological and endogenous factors ,Neurological ,Alleles ,Alzheimer Disease ,Apolipoproteins E ,Brain ,Female ,Genome-Wide Association Study ,Hippocampus ,Humans ,Magnetic Resonance Imaging ,Male ,Organ Size ,Polymorphism ,Single Nucleotide ,Risk ,Sialic Acid Binding Ig-like Lectin 3 ,Alzheimer ,MRI-Markers ,Genetic risk score ,GWAS ,Hippocampal volume ,Clinical Sciences ,Neurology & Neurosurgery ,Biological psychology - Abstract
Whether novel risk variants of Alzheimer's disease (AD) identified through genome-wide association studies also influence magnetic resonance imaging-based intermediate phenotypes of AD in the general population is unclear. We studied association of 24 AD risk loci with intracranial volume, total brain volume, hippocampal volume (HV), white matter hyperintensity burden, and brain infarcts in a meta-analysis of genetic association studies from large population-based samples (N = 8175-11,550). In single-SNP based tests, AD risk allele of APOE (rs2075650) was associated with smaller HV (p = 0.0054) and CD33 (rs3865444) with smaller intracranial volume (p = 0.0058). In gene-based tests, there was associations of HLA-DRB1 with total brain volume (p = 0.0006) and BIN1 with HV (p = 0.00089). A weighted AD genetic risk score was associated with smaller HV (beta ± SE = -0.047 ± 0.013, p = 0.00041), even after excluding the APOE locus (p = 0.029). However, only association of AD genetic risk score with HV, including APOE, was significant after multiple testing correction (including number of independent phenotypes tested). These results suggest that novel AD genetic risk variants may contribute to structural brain aging in nondemented older community persons.
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- 2015
117. Multiethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI
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Verhaaren, Benjamin FJ, Debette, Stéphanie, Bis, Joshua C, Smith, Jennifer A, Ikram, M Kamran, Adams, Hieab H, Beecham, Ashley H, Rajan, Kumar B, Lopez, Lorna M, Barral, Sandra, van Buchem, Mark A, van der Grond, Jeroen, Smith, Albert V, Hegenscheid, Katrin, Aggarwal, Neelum T, de Andrade, Mariza, Atkinson, Elizabeth J, Beekman, Marian, Beiser, Alexa S, Blanton, Susan H, Boerwinkle, Eric, Brickman, Adam M, Bryan, R Nick, Chauhan, Ganesh, Chen, Christopher PLH, Chouraki, Vincent, de Craen, Anton JM, Crivello, Fabrice, Deary, Ian J, Deelen, Joris, De Jager, Philip L, Dufouil, Carole, Elkind, Mitchell SV, Evans, Denis A, Freudenberger, Paul, Gottesman, Rebecca F, Guðnason, Vilmundur, Habes, Mohamad, Heckbert, Susan R, Heiss, Gerardo, Hilal, Saima, Hofer, Edith, Hofman, Albert, Ibrahim-Verbaas, Carla A, Knopman, David S, Lewis, Cora E, Liao, Jiemin, Liewald, David CM, Luciano, Michelle, van der Lugt, Aad, Martinez, Oliver O, Mayeux, Richard, Mazoyer, Bernard, Nalls, Mike, Nauck, Matthias, Niessen, Wiro J, Oostra, Ben A, Psaty, Bruce M, Rice, Kenneth M, Rotter, Jerome I, von Sarnowski, Bettina, Schmidt, Helena, Schreiner, Pamela J, Schuur, Maaike, Sidney, Stephen S, Sigurdsson, Sigurdur, Slagboom, P Eline, Stott, David JM, van Swieten, John C, Teumer, Alexander, Töglhofer, Anna Maria, Traylor, Matthew, Trompet, Stella, Turner, Stephen T, Tzourio, Christophe, Uh, Hae-Won, Uitterlinden, André G, Vernooij, Meike W, Wang, Jing J, Wong, Tien Y, Wardlaw, Joanna M, Windham, B Gwen, Wittfeld, Katharina, Wolf, Christiane, Wright, Clinton B, Yang, Qiong, Zhao, Wei, Zijdenbos, Alex, Jukema, J Wouter, Sacco, Ralph L, Kardia, Sharon LR, Amouyel, Philippe, Mosley, Thomas H, Longstreth, WT, DeCarli, Charles C, van Duijn, Cornelia M, Schmidt, Reinhold, Launer, Lenore J, Grabe, Hans J, and Seshadri, Sudha S
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Aging ,Brain Disorders ,Neurodegenerative ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Biotechnology ,Human Genome ,Genetics ,Acquired Cognitive Impairment ,Clinical Research ,Dementia ,Alzheimer's Disease ,Prevention ,Stroke ,Neurosciences ,Aetiology ,2.1 Biological and endogenous factors ,Aged ,Aged ,80 and over ,Chromosomes ,Human ,Female ,Genetic Loci ,Genome-Wide Association Study ,Humans ,Male ,Meta-Analysis as Topic ,Middle Aged ,Models ,Genetic ,Racial Groups ,White Matter ,cerebral small vessel diseases ,cerebrovascular disorders ,genome-wide association study ,hypertension ,leukoencephalopathies ,polymorphisms ,single nucleotide ,Medical Biotechnology ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology - Abstract
BackgroundThe burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies.Methods and resultsWe included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7×10(-19)) and identified novel loci on chr10q24 (P=1.6×10(-9)) and chr2p21 (P=4.4×10(-8)). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0×10(-8)) and chr2p16 (P=1.5×10(-8)). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16).ConclusionsWe identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.
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- 2015
118. Obstructive sleep apnea and neurocognitive function in a Hispanic/Latino population
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Ramos, Alberto R, Tarraf, Wassim, Rundek, Tatjana, Redline, Susan, Wohlgemuth, William K, Loredo, Jose S, Sacco, Ralph L, Lee, David J, Arens, Raanan, Lazalde, Patricia, Choca, James P, Mosley, Thomas, and González, Hector M
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Basic Behavioral and Social Science ,Lung ,Mental Health ,Health Services ,Sleep Research ,Clinical Research ,Aging ,Behavioral and Social Science ,Neurosciences ,Aged ,Cognition Disorders ,Female ,Hispanic or Latino ,Humans ,Male ,Middle Aged ,Neuropsychological Tests ,Sex Factors ,Sleep Apnea ,Obstructive ,United States ,Clinical Sciences ,Cognitive Sciences ,Neurology & Neurosurgery - Abstract
ObjectiveWe evaluated the association between obstructive sleep apnea (OSA) and neurocognitive function among community-dwelling Hispanic/Latino individuals in the United States.MethodsCross-sectional analysis of the Hispanic Community Health Study/Study of Latinos middle-aged and older adults, aged 45 to 74 years, with neurocognitive test scores at baseline measurements from 2008 to 2011. Neurocognitive scores were measured using the Word Fluency (WF) Test, the Brief-Spanish English Verbal Learning Test (SEVLT), and the Digit Symbol Substitution (DSS) Test. OSA was defined by the apnea-hypopnea index (AHI). Multivariable linear regression models were fit to evaluate relations between OSA and neurocognitive scores.ResultsThe analysis consisted of 8,059 participants, mean age of 56 years, 55% women, and 41% with less than high school education. The mean AHI was 9.0 (range 0-142; normal AHI
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- 2015
119. Epigenetic age acceleration is associated with cardiometabolic risk factors and clinical cardiovascular disease risk scores in African Americans
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Ammous, Farah, Zhao, Wei, Ratliff, Scott M., Mosley, Thomas H., Bielak, Lawrence F., Zhou, Xiang, Peyser, Patricia A., Kardia, Sharon L. R., and Smith, Jennifer A.
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- 2021
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120. Association of white matter microstructural integrity with cognition and dementia
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Power, Melinda C., Su, Dan, Wu, Aozhou, Reid, Robert I., Jack, Clifford R., Knopman, David S., Coresh, Joe, Huang, Juebin, Kantarci, Kejal, Sharrett, A. Richey, Gottesman, Rebecca G., Griswold, Mike E., and Mosley, Thomas H.
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- 2019
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121. The prevalence of atrial fibrillation on 48-hour ambulatory electrocardiography in African Americans compared to Whites: The Atherosclerosis Risk in Communities (ARIC) study
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Loehr, Laura R., Soliman, Elsayed Z., Poon, Anna K., Couper, David, Chen, Lin Yee, Mosley, Thomas H., Wagenknecht, Lynne E., Whitsel, Eric A., Alonso, Alvaro, Wruck, Lisa, and Heiss, Gerardo
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- 2019
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122. Female mice with apolipoprotein E4 domain interaction demonstrated impairments in spatial learning and memory performance and disruption of hippocampal cyto-architecture
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Adeosun, Samuel O., Hou, Xu, Shi, Lili, Stockmeier, Craig A., Zheng, Baoying, Raffai, Robert L., Weisgraber, Karl H., Mosley, Thomas H., and Wang, Jun Ming
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- 2019
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123. A rare missense variant of CASP7 is associated with familial late-onset Alzheimer's disease
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Bellair, Michelle, Dinh, Huyen, Doddapeneni, Harsha, Dugan-Perez, Shannon, English, Adam, Gibbs, Richard A., Han, Yi, Hu, Jianhong, Jayaseelan, Joy, Kalra, Divya, Khan, Ziad, Korchina, Viktoriya, Lee, Sandra, Liu, Yue, Liu, Xiuping, Muzny, Donna, Nasser, Waleed, Salerno, William, Santibanez, Jireh, Skinner, Evette, White, Simon, Worley, Kim, Zhu, Yiming, Beiser, Alexa, Chen, Yuning, Chung, Jaeyoon, Cupples, L. Adrienne, DeStefano, Anita, Dupuis, Josee, Farrell, John, Farrer, Lindsay, Lancour, Daniel, Lin, Honghuang, Liu, Ching Ti, Lunetta, Kathy, Ma, Yiyi, Patel, Devanshi, Sarnowski, Chloe, Satizabal, Claudia, Seshadri, Sudha, Sun, Fangui Jenny, Zhang, Xiaoling, Choi, Seung Hoan, Banks, Eric, Gabriel, Stacey, Gupta, Namrata, Bush, William, Butkiewicz, Mariusz, Haines, Jonathan, Smieszek, Sandra, Song, Yeunjoo, Barral, Sandra, De Jager, Phillip L., Mayeux, Richard, Reitz, Christiane, Reyes, Dolly, Tosto, Giuseppe, Vardarajan, Badri, Amad, Shahzad, Amin, Najaf, Ikram, M. Afran, van der Lee, Sven, van Duijn, Cornelia, Vanderspek, Ashley, Schmidt, Helena, Schmidt, Reinhold, Goate, Alison, Kapoor, Manav, Marcora, Edoardo, Renton, Alan, Faber, Kelley, Foroud, Tatiana, Feolo, Michael, Stine, Adam, Launer, Lenore J., Bennett, David A., Xia, Li Charlie, Beecham, Gary, Hamilton-Nelson, Kara, Jaworski, James, Kunkle, Brian, Martin, Eden, Pericak-Vance, Margaret, Rajabli, Farid, Schmidt, Michael, Mosley, Thomas H., Cantwell, Laura, Childress, Micah, Chou, Yi-Fan, Cweibel, Rebecca, Gangadharan, Prabhakaran, Kuzma, Amanda, Leung, Yuk Yee, Lin, Han-Jen, Malamon, John, Mlynarski, Elisabeth, Naj, Adam, Qu, Liming, Schellenberg, Gerard, Valladares, Otto, Wang, Li-San, Wang, Weixin, Zhang, Nancy, Below, Jennifer E., Boerwinkle, Eric, Bressler, Jan, Fornage, Myriam, Jian, Xueqiu, Liu, Xiaoming, Bis, Joshua C., Blue, Elizabeth, Brown, Lisa, Day, Tyler, Dorschner, Michael, Horimoto, Andrea R., Nafikov, Rafael, Nato, Alejandro Q., Jr., Navas, Pat, Nguyen, Hiep, Psaty, Bruce, Rice, Kenneth, Saad, Mohamad, Sohi, Harkirat, Thornton, Timothy, Tsuang, Debby, Wang, Bowen, Wijsman, Ellen, Witten, Daniela, Antonacci-Fulton, Lucinda, Appelbaum, Elizabeth, Cruchaga, Carlos, Fulton, Robert S., Koboldt, Daniel C., Larson, David E., Waligorski, Jason, Wilson, Richard K., Zhu, Congcong, Vardarajan, Badri N., Farrell, John J., Haines, Jonathan L., Schellenberg, Gerard D., Pericak-Vance, Margaret A., Lunetta, Kathryn L., and Farrer, Lindsay A.
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- 2019
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124. Retinal signs and risk of incident dementia in the Atherosclerosis Risk in Communities study
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Deal, Jennifer A., Sharrett, A. Richey, Albert, Marilyn, Bandeen-Roche, Karen, Burgard, Sheila, Thomas, Sonia Davis, Gottesman, Rebecca F., Knopman, David, Mosley, Thomas, Klein, Barbara, and Klein, Ronald
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- 2019
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125. Leisure-time physical activity sustained since midlife and preservation of cognitive function: The Atherosclerosis Risk in Communities Study
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Palta, Priya, Sharrett, A. Richey, Deal, Jennifer A., Evenson, Kelly R., Gabriel, Kelley Pettee, Folsom, Aaron R., Gross, Alden L., Windham, B. Gwen, Knopman, David, Mosley, Thomas H., and Heiss, Gerardo
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- 2019
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126. A novel electrocardiogram-based model for prediction of dementia—The Atherosclerosis Risk in Communities (ARIC) study
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Chen, Deling, Yao, Yuchen, Moser, Ethan D., Wang, Wendy, Soliman, Elsayed Z., Mosley, Thomas, and Pan, Wei
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- 2025
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127. Genome-Wide Association Study of Intracranial Aneurysm Identifies a New Association on Chromosome 7
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Foroud, Tatiana, Lai, Dongbing, Koller, Daniel, Van't Hof, Femke, Kurki, Mitja I, Anderson, Craig S, Brown, Robert D, Connolly, Edward Sander, Eriksson, Johan G, Flaherty, Matthew, Fornage, Myriam, von Und Zu Fraunberg, Mikael, Gaál, Emília I, Laakso, Aki, Hernesniemi, Juha, Huston, John, Jääskeläinen, Juha E, Kiemeney, Lambertus A, Kivisaari, Riku, Kleindorfer, Dawn, Ko, Nerissa, Lehto, Hanna, Mackey, Jason, Meissner, Irene, Moomaw, Charles J, Mosley, Thomas H, Moskala, Marek, Niemelä, Mika, Palotie, Aarno, Pera, Joanna, Rinkel, Gabriel, Ripke, Stephan, Rouleau, Guy, Ruigrok, Ynte, Sauerbeck, Laura, Słowik, Agnieszka, Vermeulen, Sita H, Woo, Daniel, Worrall, Bradford B, and Broderick, Joseph
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Neurosciences ,Human Genome ,Stroke ,Genetics ,Brain Disorders ,Biotechnology ,Aetiology ,2.1 Biological and endogenous factors ,Adult ,Aged ,Chromosomes ,Human ,Pair 7 ,Cohort Studies ,Female ,Genome-Wide Association Study ,Humans ,Intracranial Aneurysm ,Male ,Middle Aged ,Polymorphism ,Single Nucleotide ,Whites ,chromosomes ,human ,pair 7 ,genome-wide association study ,intracranial aneurysm ,Familial Intracranial Aneurysm Study Investigators ,White People ,chromosomes ,human ,pair 7 ,Cardiorespiratory Medicine and Haematology ,Clinical Sciences ,Neurology & Neurosurgery - Abstract
Background and purposeCommon variants have been identified using genome-wide association studies which contribute to intracranial aneurysms (IA) susceptibility. However, it is clear that the variants identified to date do not account for the estimated genetic contribution to disease risk.MethodsInitial analysis was performed in a discovery sample of 2617 IA cases and 2548 controls of white ancestry. Novel chromosomal regions meeting genome-wide significance were further tested for association in 2 independent replication samples: Dutch (717 cases; 3004 controls) and Finnish (799 cases; 2317 controls). A meta-analysis was performed to combine the results from the 3 studies for key chromosomal regions of interest.ResultsGenome-wide evidence of association was detected in the discovery sample on chromosome 9 (CDKN2BAS; rs10733376: P
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- 2014
128. Meta-analysis of loci associated with age at natural menopause in African-American women
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Chen, Christina TL, Liu, Ching-Ti, Chen, Gary K, Andrews, Jeanette S, Arnold, Alice M, Dreyfus, Jill, Franceschini, Nora, Garcia, Melissa E, Kerr, Kathleen F, Li, Guo, Lohman, Kurt K, Musani, Solomon K, Nalls, Michael A, Raffel, Leslie J, Smith, Jennifer, Ambrosone, Christine B, Bandera, Elisa V, Bernstein, Leslie, Britton, Angela, Brzyski, Robert G, Cappola, Anne, Carlson, Christopher S, Couper, David, Deming, Sandra L, Goodarzi, Mark O, Heiss, Gerardo, John, Esther M, Lu, Xiaoning, Le Marchand, Loic, Marciante, Kristin, Mcknight, Barbara, Millikan, Robert, Nock, Nora L, Olshan, Andrew F, Press, Michael F, Vaiyda, Dhananjay, Woods, Nancy F, Taylor, Herman A, Zhao, Wei, Zheng, Wei, Evans, Michele K, Harris, Tamara B, Henderson, Brian E, Kardia, Sharon LR, Kooperberg, Charles, Liu, Yongmei, Mosley, Thomas H, Psaty, Bruce, Wellons, Melissa, Windham, Beverly G, Zonderman, Alan B, Cupples, L Adrienne, Demerath, Ellen W, Haiman, Christopher, Murabito, Joanne M, and Rajkovic, Aleksandar
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Contraception/Reproduction ,Estrogen ,Genetics ,Human Genome ,Aging ,2.1 Biological and endogenous factors ,Aetiology ,Reproductive health and childbirth ,Black or African American ,Age Factors ,Chromosomes ,Human ,Female ,Genetic Loci ,Genetic Variation ,Genome-Wide Association Study ,Humans ,Menopause ,United States ,White People ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Age at menopause marks the end of a woman's reproductive life and its timing associates with risks for cancer, cardiovascular and bone disorders. GWAS and candidate gene studies conducted in women of European ancestry have identified 27 loci associated with age at menopause. The relevance of these loci to women of African ancestry has not been previously studied. We therefore sought to uncover additional menopause loci and investigate the relevance of European menopause loci by performing a GWAS meta-analysis in 6510 women with African ancestry derived from 11 studies across the USA. We did not identify any additional loci significantly associated with age at menopause in African Americans. We replicated the associations between six loci and age at menopause (P-value < 0.05): AMHR2, RHBLD2, PRIM1, HK3/UMC1, BRSK1/TMEM150B and MCM8. In addition, associations of 14 loci are directionally consistent with previous reports. We provide evidence that genetic variants influencing reproductive traits identified in European populations are also important in women of African ancestry residing in USA.
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- 2014
129. Predicting stroke through genetic risk functions: the CHARGE Risk Score Project.
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Ibrahim-Verbaas, Carla A, Fornage, Myriam, Bis, Joshua C, Choi, Seung Hoan, Psaty, Bruce M, Meigs, James B, Rao, Madhu, Nalls, Mike, Fontes, Joao D, O'Donnell, Christopher J, Kathiresan, Sekar, Ehret, Georg B, Fox, Caroline S, Malik, Rainer, Dichgans, Martin, Schmidt, Helena, Lahti, Jari, Heckbert, Susan R, Lumley, Thomas, Rice, Kenneth, Rotter, Jerome I, Taylor, Kent D, Folsom, Aaron R, Boerwinkle, Eric, Rosamond, Wayne D, Shahar, Eyal, Gottesman, Rebecca F, Koudstaal, Peter J, Amin, Najaf, Wieberdink, Renske G, Dehghan, Abbas, Hofman, Albert, Uitterlinden, André G, Destefano, Anita L, Debette, Stephanie, Xue, Luting, Beiser, Alexa, Wolf, Philip A, Decarli, Charles, Ikram, M Arfan, Seshadri, Sudha, Mosley, Thomas H, Longstreth, WT, van Duijn, Cornelia M, and Launer, Lenore J
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Humans ,Genetic Predisposition to Disease ,Area Under Curve ,Risk Factors ,Regression Analysis ,Case-Control Studies ,Cohort Studies ,ROC Curve ,Age Factors ,Sex Factors ,Genotype ,Polymorphism ,Single Nucleotide ,Aged ,Aged ,80 and over ,Middle Aged ,European Continental Ancestry Group ,Female ,Male ,Stroke ,Genome-Wide Association Study ,genetic epidemiology ,risk factors ,stroke ,Polymorphism ,Single Nucleotide ,and over ,Neurology & Neurosurgery ,Clinical Sciences ,Cardiorespiratory Medicine and Haematology ,Neurosciences - Abstract
Background and purposeBeyond the Framingham Stroke Risk Score, prediction of future stroke may improve with a genetic risk score (GRS) based on single-nucleotide polymorphisms associated with stroke and its risk factors.MethodsThe study includes 4 population-based cohorts with 2047 first incident strokes from 22,720 initially stroke-free European origin participants aged ≥55 years, who were followed for up to 20 years. GRSs were constructed with 324 single-nucleotide polymorphisms implicated in stroke and 9 risk factors. The association of the GRS to first incident stroke was tested using Cox regression; the GRS predictive properties were assessed with area under the curve statistics comparing the GRS with age and sex, Framingham Stroke Risk Score models, and reclassification statistics. These analyses were performed per cohort and in a meta-analysis of pooled data. Replication was sought in a case-control study of ischemic stroke.ResultsIn the meta-analysis, adding the GRS to the Framingham Stroke Risk Score, age and sex model resulted in a significant improvement in discrimination (all stroke: Δjoint area under the curve=0.016, P=2.3×10(-6); ischemic stroke: Δjoint area under the curve=0.021, P=3.7×10(-7)), although the overall area under the curve remained low. In all the studies, there was a highly significantly improved net reclassification index (P
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- 2014
130. Type 2 Diabetes and Cognitive Decline Over 14 Years in Middle-Aged African Americans and Whites: The ARIC Brain MRI Study
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Mayeda, Elizabeth R, Haan, Mary N, Neuhaus, John, Yaffe, Kristine, Knopman, David S, Sharrett, A Richey, Griswold, Michael E, and Mosley, Thomas H
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Epidemiology ,Health Services and Systems ,Health Sciences ,Dementia ,Aging ,Neurosciences ,Acquired Cognitive Impairment ,Prevention ,Atherosclerosis ,Clinical Research ,Brain Disorders ,Cardiovascular ,Behavioral and Social Science ,Diabetes ,Metabolic and endocrine ,Black or African American ,Aged ,Cognition Disorders ,Diabetes Mellitus ,Type 2 ,Female ,Humans ,Incidence ,Male ,Memory ,Middle Aged ,Neuropsychological Tests ,Prevalence ,Risk Factors ,White People ,Cognitive decline ,Ethnicity ,Public Health and Health Services ,Clinical sciences - Abstract
BackgroundDiabetes predicts late-life dementia, but the association with rate of cognitive decline is inconsistent and has rarely been examined in non-white populations, despite the high prevalence of diabetes in African Americans. We evaluated the effect of diabetes on cognitive decline in middle-aged African Americans and whites.MethodsAtherosclerosis Risk in Communities (ARIC) Brain MRI Study participants (n = 1,886, mean age = 60, 49% African American) underwent assessments of verbal memory, processing speed, and verbal fluency four times over 14 years. Using race-stratified mixed linear effects models, we examined cognitive change for participants with prevalent (baseline) diabetes and incident (diagnosed after baseline) diabetes versus those without diabetes.ResultsAfrican Americans had more advanced diabetes, as indicated by fasting blood glucose levels, anti-diabetes medication use, and cardiovascular risk profiles. African Americans with prevalent diabetes experienced 41% greater annual decline in processing speed scores (p = 0.048) and 50% greater annual decline in verbal fluency scores (p = 0.042) than those without diabetes; incident diabetes was not associated with cognitive decline. Among whites, diabetes was not associated with cognitive decline.ConclusionsPrevalent diabetes was associated with greater cognitive decline in middle-aged African Americans, possibly reflecting adverse effects of longer duration and more advanced diabetes.
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- 2014
131. Cardiovascular Burden of the V142I Transthyretin Variant.
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Selvaraj, Senthil, Claggett, Brian, Shah, Svati H., Mentz, Robert J., Khouri, Michel G., Manichaikul, Ani W., Khan, Sadiya S., Rich, Stephen S., Mosley, Thomas H., Levitan, Emily B., Arora, Pankaj, Goyal, Parag, Haring, Bernhard, Eaton, Charles B., Cheng, Richard K., Wells, Gretchen L., Manson, JoAnn E., Fontana, Marianna, and Solomon, Scott D.
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HEART failure ,TRANSTHYRETIN ,NATURAL history ,BLACK people ,RACE ,DISEASE vectors - Abstract
Key Points: Question: What is the natural history and cardiovascular burden of the V142I variant of the transthyretin (TTR) gene among US Black carriers across mid to late life? Findings: Across 4 cohort studies, carriers (754/23 338) faced a substantially increased risk for heart failure (by age 63 years) and death (by age 72 years), similarly in men and women, which was estimated to contribute to approximately 1 million years of life lost among US Black individuals aged ≥50 years. Meaning: These data show the large, age-dependent burden of V142I, which may guide discussions regarding the initiation and results of genetic screening, provide clinicians with risk estimates to share with patients, and inform strategies for early targeted therapy. Importance: Individual cohort studies concur that the amyloidogenic V142I variant of the transthyretin (TTR) gene, present in 3% to 4% of US Black individuals, increases heart failure (HF) and mortality risk. Precisely defining carrier risk across relevant clinical outcomes and estimating population burden of disease are important given established and emerging targeted treatments. Objectives: To better define the natural history of disease in carriers across mid to late life, assess variant modifiers, and estimate cardiovascular burden to the US population. Design, Setting, and Participants: A total of 23 338 self-reported Black participants initially free from HF were included in 4 large observational studies across the US (mean [SD], 15.5 [8.2] years of follow-up). Data analysis was performed between May 2023 and February 2024. Exposure: V142I carrier status (n = 754, 3.2%). Main Outcomes and Measures: Hospitalizations for HF (including subtypes of reduced and preserved ejection fraction) and all-cause mortality. Outcomes were analyzed by generating 10-year hazard ratios for each age between 50 and 90 years. Using actuarial methods, mean survival by carrier status was estimated and applied to the 2022 US population using US Census data. Results: Among the 23 338 participants, the mean (SD) age at baseline was 62 (9) years and 76.7% were women. Ten-year carrier risk increased for HF hospitalization by age 63 years, predominantly driven by HF with reduced ejection fraction, and 10-year all-cause mortality risk increased by age 72 years. Only age (but not sex or other select variables) modified risk with the variant, with estimated reductions in longevity ranging from 1.9 years (95% CI, 0.6-3.1) at age 50 to 2.8 years (95% CI, 2.0-3.6) at age 81. Based on these data, 435 851 estimated US Black carriers between ages 50 and 95 years are projected to cumulatively lose 957 505 years of life (95% CI, 534 475-1 380 535) due to the variant. Conclusions and Relevance: Among self-reported Black individuals, male and female V142I carriers faced similar and substantial risk for HF hospitalization, predominantly with reduced ejection fraction, and death, with steep age-dependent penetrance. Delineating the individual contributions of, and complex interplay among, the V142I variant, ancestry, the social construct of race, and biological or social determinants of health to cardiovascular disease merits further investigation. This study used data on Black participants in 4 large observational studies to better define the natural history of disease in V142I variant carriers across mid to late life, assess variant modifiers, and estimate cardiovascular burden to the US population. [ABSTRACT FROM AUTHOR]
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- 2024
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132. Normative Data for the 12-Item Sniffin' Sticks Odor Identification Test in Older Adults.
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Kamath, Vidyulata, Chen, Honglei, Shrestha, Srishti, Mechanic-Hamilton, Dawn, Deal, Jennifer A, Mosley, Thomas H, and Schneider, Andrea L C
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SMELL disorders ,OLDER people ,REFERENCE values ,OLFACTORY perception ,RACE ,SECONDARY education - Abstract
Objective Quantitative olfactory assessment has demonstrated clinical utility for the evaluation of a range of neurologic, psychiatric, and sinonasal conditions. Here, we provide age, sex, race, and education-specific normative data for the 12-item Sniffin Sticks Odor Identification Test (SSOIT-12) in older Black and White U.S. adults without preclinical or clinical dementia or sinonasal disease. Method A sample of 2,224 Atherosclerosis Risk in Communities study participants aged 66–89 years were included. A normative regression equation was developed using a linear model for the association of age, sex, race, and education with odor identification score. Regression-based normative mean scores and percentiles were generated by age, sex, race, and education groups. Results Participants (mean age = 74 years, 59% women, 20% Black, 48% > high school education) had a mean SSOIT-12 score of 9.8. Age, sex, race, and education were all associated with odor identification performance (all p s < .05). A linear regression model for the predicted SSOIT-12 score was developed for use with an individual's actual SSOIT-12 score in order to calculate the Z -score and corresponding percentile for a specific age, sex, race, and education group. Data are also reported in tabular format. Conclusions Our study provides SSOIT-12 normative data obtained from a large population of White and Black older adults without preclinical or clinical dementia or sinonasal disease living in the USA. These findings can aid clinicians in assessing the degree of olfactory loss, establishing concordance with a person's perception of olfactory difficulties and quantitatively monitoring changes in olfactory performance over time. [ABSTRACT FROM AUTHOR]
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- 2024
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133. Genome‐wide Association Study Meta‐analysis of Neurofilament light (NfL) levels in blood reveals novel loci related to neurodegeneration
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Ahmad, Shahzad, primary, Imtiaz, Mohammed Aslam, additional, Mishra, Aniket, additional, Wang, Ruiqi, additional, Rivero, Marisol Herrera‐, additional, Bis, Joshua C, additional, Fornage, Myriam, additional, Roshchupkin, Gennady V., additional, Hofer, Edith, additional, Logue, Mark W., additional, Longstreth, W.T., additional, Xia, Rui, additional, Bouteloup, Vincent, additional, Mosley, Thomas H., additional, Launer, Lenore J J., additional, Khalil, Michael, additional, Kuhle, Jens, additional, Rissman, Robert A, additional, Chêne, Geneviève, additional, Dufouil, Carole, additional, Djoussé, Luc, additional, Lyons, Michael J., additional, Mukamal, Kenneth J, additional, Stone, William Seth, additional, Franz, Carol E, additional, Schmidt, Reinhold, additional, Debette, Stéphanie, additional, Breteler, Monique M.B., additional, Berger, Klaus, additional, Yang, Qiong, additional, Seshadri, Sudha, additional, Aziz, N. Ahmad, additional, Ghanbari, Mohsen, additional, and Ikram, M. Arfan, additional
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- 2023
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134. Admixture mapping of cognitive function in diverse Hispanic and Latino adults
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Fornage, Myriam, primary, Sofer, Tamar, additional, Satizabal, Claudia L., additional, Seshadri, Sudha, additional, Mosley, Thomas H., additional, Decarli, Charles, additional, Tarraf, Wassim, additional, Thornton, Timothy A, additional, and González, Hector M, additional
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- 2023
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135. PSMD, a novel biomarker of small vessel disease, and its association with cognitive function — A comprehensive clinical validation study
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Luckey, Alison M., primary, Ghosh, Saptaparni, additional, Bernal, Rebecca, additional, Snoussi, Haykel, additional, Velarde, Angel G., additional, Trevino, Hector, additional, Goss, Monica, additional, Himali, Jayandra Jung, additional, Hillmer, Laura J., additional, Lu, Hanzhang, additional, Arfanakis, Konstantinos, additional, Gold, Brian T., additional, Bauer, Christopher E., additional, Kramer, Joel H., additional, Staffaroni, Adam M., additional, Stables, Lara, additional, Wang, Danny J.J., additional, Beiser, Alexa S., additional, Fornage, Myriam, additional, Mosley, Thomas H., additional, Rosenberg, Gary A., additional, Singh, Baljeet, additional, Singh, Herpreet, additional, Schwab, Kristin, additional, Helmer, Karl G., additional, Greenberg, Steven M., additional, Habes, Mohamad, additional, Arvind, Caprihan, additional, Seshadri, Sudha, additional, Decarli, Charles, additional, Maillard, Pauline, additional, and Satizabal, Claudia L., additional
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- 2023
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136. Social engagement, amyloid burden, and dementia: the Atherosclerosis Risk in Communities (ARIC)‐PET study
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Groechel, Renée C., primary, Liu, Chelsea, additional, Knopman, David S., additional, Koton, Silvia, additional, Kucharska‐Newton, Anna M., additional, Liu, Albert C., additional, Lutsey, Pamela L., additional, Mosley, Thomas H., additional, Palta, Priya, additional, Sharrett, Richey, additional, Walker, Keenan A., additional, Wong, Dean F., additional, and Gottesman, Rebecca F., additional
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- 2023
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137. Association of birth weight with incident dementia: The Atherosclerosis Risk in Communities (ARIC) Neurocognitive Study
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Emanuel, Olivia M, primary, Lee, Mark, additional, Lutsey, Pamela L., additional, Sullivan, Kevin J, additional, Groechel, Renee C., additional, Mosley, Thomas H., additional, Schneider, Andrea LC, additional, Wong, Dean F., additional, and Gottesman, Rebecca F., additional
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- 2023
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138. Changes in Pulmonary Artery Pressure Late in Life
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Zierath, Rani, primary, Claggett, Brian, additional, Arthur, Victoria, additional, Yang, Yimin, additional, Skali, Hicham, additional, Matsushita, Kunihiro, additional, Kitzman, Dalane, additional, Konety, Suma, additional, Mosley, Thomas, additional, and Shah, Amil M., additional
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- 2023
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139. PLASMA BIOMARKERS FOR ALZHEIMER’S DISEASE AND RELATED NEUROPATHOLOGY IN RELATION TO MCI AND DEMENTIA: THE ARIC STUDY
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Sullivan, Kevin, primary, Blackshear, Chad, additional, Walker, Keenan, additional, Mielke, Michelle, additional, Windham, B Gwen, additional, Griswold, Michael, additional, Mosley, Thomas, additional, and Palta, Priya, additional
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- 2023
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140. External Validation of a Novel Multi-Marker Glomerular Filtration Rate Estimating Equation
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Tio, Maria Clarissa, primary, Zhu, Xiaoqian, additional, Lirette, Seth, additional, Rule, Andrew D., additional, Butler, Kenneth, additional, Hall, Michael E., additional, Dossabhoy, Neville R., additional, Mosley, Thomas, additional, and Shafi, Tariq, additional
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- 2023
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141. Proteomic Indicators of Health Predict Alzheimer's Disease Biomarker Levels and Dementia Risk
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Dark, Heather E., primary, Paterson, Clare, additional, Daya, Gulzar N., additional, Peng, Zhongsheng, additional, Duggan, Michael R., additional, Bilgel, Murat, additional, An, Yang, additional, Moghekar, Abhay, additional, Davatzikos, Christos, additional, Resnick, Susan M., additional, Loupy, Kelsey, additional, Simpson, Missy, additional, Candia, Julián, additional, Mosley, Thomas, additional, Coresh, Josef, additional, Palta, Priya, additional, Ferrucci, Luigi, additional, Shapiro, Allison, additional, Williams, Stephen A., additional, and Walker, Keenan A., additional
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- 2023
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142. Cerebral Microbleed Patterns and Cortical Amyloid-β: The ARIC-PET Study
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Okine, Derrick N., primary, Knopman, David S., additional, Mosley, Thomas H., additional, Wong, Dean F., additional, Johansen, Michelle C., additional, Walker, Keenan A., additional, Jack, Clifford R., additional, Kantarci, Kejal, additional, Pike, James R., additional, Graff-Radford, Jonathan, additional, and Gottesman, Rebecca F., additional
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- 2023
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143. Parity and Risk of Dementia in Women: The Atherosclerosis Risk in Communities Study
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DiBiase, Rebecca M., primary, Gottesman, Rebecca F., additional, Tom, Sarah E., additional, Walker, Keenan A., additional, Mosley, Thomas, additional, Lutsey, Pamela L., additional, and Miller, Eliza C., additional
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- 2023
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144. A prospective analysis of leisure-time physical activity in mid-life and beyond and brain damage on MRI in older adults
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Palta, Priya, Sharrett, A. Richey, Gabriel, Kelley Pettee, Gottesman, Rebecca F., Folsom, Aaron R., Power, Melinda C., Evenson, Kelly R., Jack, Clifford R., Jr, Knopman, David S., Mosley, Thomas H., and Heiss, Gerardo
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- 2021
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145. Midlife vascular risk factors and midlife cognitive status in relation to prevalence of mild cognitive impairment and dementia in later life: The Atherosclerosis Risk in Communities Study
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Knopman, David S., Gottesman, Rebecca F., Sharrett, A. Richey, Tapia, Amanda L., DavisThomas, Sonia, Windham, B. Gwen, Coker, Laura, Schneider, Andrea L.C., Alonso, Alvaro, Coresh, Josef, Albert, Marilyn S., and Mosley, Thomas H., Jr.
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- 2018
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146. Association of left ventricular hypertrophy with cognitive decline and dementia risk over 20 years: The Atherosclerosis Risk In Communities–Neurocognitive Study (ARIC-NCS)
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Norby, Faye L., Chen, Lin Y., Soliman, Elsayed Z., Gottesman, Rebecca F., Mosley, Thomas H., and Alonso, Alvaro
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- 2018
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147. Olfactory function and neurocognitive outcomes in old age: The Atherosclerosis Risk in Communities Neurocognitive Study
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Palta, Priya, Chen, Honglei, Deal, Jennifer A., Sharrett, A. Richey, Gross, Alden, Knopman, David, Griswold, Michael, Heiss, Gerardo, and Mosley, Thomas H.
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- 2018
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148. Diastolic wall strain is associated with incident heart failure in African Americans: Insights from the atherosclerosis risk in communities study
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Kamimura, Daisuke, Suzuki, Takeki, Hall, Michael E., Wang, Wanmei, Winniford, Michael D., Shah, Amil M., Rodriguez, Carlos J., Butler, Kenneth R., and Mosley, Thomas H.
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- 2018
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149. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure
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Sung, Yun J., Winkler, Thomas W., de las Fuentes, Lisa, Bentley, Amy R., Brown, Michael R., Kraja, Aldi T., Schwander, Karen, Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K., Li, Changwei, Feitosa, Mary F., Kilpeläinen, Tuomas O., Richard, Melissa A., Noordam, Raymond, Aslibekyan, Stella, Aschard, Hugues, Bartz, Traci M., Dorajoo, Rajkumar, Liu, Yongmei, Manning, Alisa K., Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M., Tayo, Bamidele O., Warren, Helen R., Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Maris, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E., Hartwig, Fernando Pires, Horimoto, Andrea R.V.R., Hsu, Fang-Chi, Jackson, Anne U., Kähönen, Mika, Kasturiratne, Anuradhani, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, ’an Luan, Jian, McKenzie, Colin A., Meian, He, Nelson, Christopher P., Rauramaa, Rainer, Schupf, Nicole, Scott, Robert A., Sheu, Wayne H.H., Stančáková, Alena, Takeuchi, Fumihiko, van der Most, Peter J., Varga, Tibor V., Wang, Heming, Wang, Yajuan, Ware, Erin B., Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R., Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan, Aung, Tin, Barr, R. Graham, Bielak, Lawrence F., Boerwinkle, Eric, Bottinger, Erwin P., Braund, Peter S., Brody, Jennifer A., Broeckel, Ulrich, Cabrera, Claudia P., Cade, Brian, Caizheng, Yu, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, Chauhan, Ganesh, Christensen, Kaare, Cocca, Massimiliano, Collins, Francis S., Connell, John M., de Mutsert, Renée, de Silva, H. Janaka, Debette, Stephanie, Dörr, Marcus, Duan, Qing, Eaton, Charles B., Ehret, Georg, Evangelou, Evangelos, Faul, Jessica D., Fisher, Virginia A., Forouhi, Nita G., Franco, Oscar H., Friedlander, Yechiel, Gao, He, Gigante, Bruna, Graff, Misa, Gu, C. Charles, Gu, Dongfeng, Gupta, Preeti, Hagenaars, Saskia P., Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hofman, Albert, Howard, Barbara V., Hunt, Steven, Irvin, Marguerite R., Jia, Yucheng, Joehanes, Roby, Justice, Anne E., Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D., Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A., Komulainen, Pirjo, Kooperberg, Charles, Krieger, Jose E., Kubo, Michiaki, Kuusisto, Johanna, Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lehne, Benjamin, Lewis, Cora E., Li, Yize, Lim, Sing Hui, Lin, Shiow, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Kiang, Liu, Yeheng, Loh, Marie, Lohman, Kurt K., Long, Jirong, Louie, Tin, Mägi, Reedik, Mahajan, Anubha, Meitinger, Thomas, Metspalu, Andres, Milani, Lili, Momozawa, Yukihide, Morris, Andrew P., Mosley, Thomas H., Jr., Munson, Peter, Murray, Alison D., Nalls, Mike A., Nasri, Ubaydah, Norris, Jill M., North, Kari, Ogunniyi, Adesola, Padmanabhan, Sandosh, Palmas, Walter R., Palmer, Nicholette D., Pankow, James S., Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Raitakari, Olli T., Renström, Frida, Rice, Treva K., Ridker, Paul M., Robino, Antonietta, Robinson, Jennifer G., Rose, Lynda M., Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L., Sandow, Kevin, Schmidt, Carsten O., Schreiner, Pamela J., Scott, William R., Seshadri, Sudha, Sever, Peter, Sitlani, Colleen M., Smith, Jennifer A., Snieder, Harold, Starr, John M., Strauch, Konstantin, Tang, Hua, Taylor, Kent D., Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G., Waldenberger, Melanie, Wang, Lihua, Wang, Ya X., Wei, Wen Bin, Williams, Christine, Wilson, Gregory, Wojczynski, Mary K., Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., Chambers, John C., Chen, Yii-Der Ida, de Faire, Ulf, Deary, Ian J., Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Franks, Paul W., Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost B., Kato, Norihiro, Kooner, Jaspal S., Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik K.E., Newman, Anne B., Oldehinkel, Albertine J., Pereira, Alexandre C., Redline, Susan, Rettig, Rainer, Samani, Nilesh J., Scott, James, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E., Wareham, Nicholas J., Watkins, Hugh, Weir, David R., Wickremasinghe, Ananda R., Wu, Tangchun, Zheng, Wei, Kamatani, Yoichiro, Laurie, Cathy C., Bouchard, Claude, Cooper, Richard S., Evans, Michele K., Gudnason, Vilmundur, Kardia, Sharon L.R., Kritchevsky, Stephen B., Levy, Daniel, O’Connell, Jeff R., Psaty, Bruce M., van Dam, Rob M., Sims, Mario, Arnett, Donna K., Mook-Kanamori, Dennis O., Kelly, Tanika N., Fox, Ervin R., Hayward, Caroline, Fornage, Myriam, Rotimi, Charles N., Province, Michael A., van Duijn, Cornelia M., Tai, E. Shyong, Wong, Tien Yin, Loos, Ruth J.F., Reiner, Alex P., Rotter, Jerome I., Zhu, Xiaofeng, Bierut, Laura J., Gauderman, W. James, Caulfield, Mark J., Elliott, Paul, Rice, Kenneth, Munroe, Patricia B., Morrison, Alanna C., Cupples, L. Adrienne, Rao, Dabeeru C., and Chasman, Daniel I.
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- 2018
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150. Sleep characteristics and risk of dementia and Alzheimer's disease: The Atherosclerosis Risk in Communities Study
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Lutsey, Pamela L., Misialek, Jeffrey R., Mosley, Thomas H., Gottesman, Rebecca F., Punjabi, Naresh M., Shahar, Eyal, MacLehose, Richard, Ogilvie, Rachel P., Knopman, David, and Alonso, Alvaro
- Published
- 2018
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