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2. Style Separation and Content Recovery for Generalizable Sketch Re-identification and a New Benchmark

Author

Lu, Lingyi, Xu, Xin, Wang, Xiao, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ide, Ichiro, editor, Kompatsiaris, Ioannis, editor, Xu, Changsheng, editor, Yanai, Keiji, editor, Chu, Wei-Ta, editor, Nitta, Naoko, editor, Riegler, Michael, editor, and Yamasaki, Toshihiko, editor

Published
2025
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6. Association between internal pentachlorophenol exposure characteristics and thyroid hormone indices in a community population in Shanghai, China

Author

TAN Yajiao, DU Zhiyuan, QIAN Jiefeng, LU Lingyi, BAI Xue, LI Zhou, ZHENG Weiwei, SUN Sifei, and LIU Lanxia

Subjects
pentachlorophenol, internal exposure, influencing factor, relevance, thyroid hormone, Medicine
Abstract

ObjectiveTo assess the level of internal exposure to PCP in a community population in Shanghai, to investigate the factors affecting the level of PCP, and to analyze the correlation between the exposure and thyroid hormone levels.MethodsA total of 464 residents of a community in Shanghai were selected as the study subjects. A questionnaire survey was conducted to obtain the demographic information, dietary situation, lifestyle and behavioral habits, and disease history of the individuals, and blood samples were collected. Gas chromatography-electron trap was applied to determine the PCP levels in serum. Multicategorical logistic regression analysis was used to analyze the possible influencing factors of PCP exposure in humans. Thyroid hormone levels were used as the dependent variable and serum PCP as the independent variable. Multiple linear regression analysis was used to assess the association between PCP and thyroid hormones in the community population after controlling the confounding factors such as age, gender, literacy, annual personal income, and chronic diseases.ResultsThe detection rate of serum PCP in 464 subjects was 90.3%, and the median serum PCP level was 0.43 μg·L-1. The differences in PCP levels among different age groups were statistically significant. There were no significant differences in PCP levels among different gender and BMI groups. The study of PCP exposure factors showed that age, frequency of using plastic products, consumption of freshwater fish, type of occupation, annual income, and consumption of tea or coffee were the potential influencing factors for PCP exposure. Among them, age, frequency of using plastic products, consumption of tea or coffee, and consumption of freshwater fish were positively associated with PCP levels, and annual personal income was negatively associated with it. The results of multiple linear regression analysis showed that among men, PCP levels were positively correlated with TSH (b=0.105, 95%CI:0.017‒0.313) and negatively correlated with FT4 (b=-0.026, 95%CI:-0.057‒0.004), and among women, PCP levels were positively correlated with TSH (b=0.092, 95%CI:-0.211‒0.904) and FT3 (b=0.017, 95%CI:-0.058‒0.230) and negatively correlated with FT4 (b=-0.013, 95%CI:-0.011‒0.037).ConclusionSerum PCP detection is common among community residents in Shanghai. Different demographic characteristics or behavioral habits may increase or decrease PCP exposure. PCP exposure then affects human thyroid hormone levels.

Published
2024
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8. Multiethnic Genome-Wide Association Study of Subclinical Atherosclerosis in Individuals With Type 2 Diabetes

Author

Lu, Yingchang, Dimitrov, Latchezar, Chen, Shyh-Huei, Bielak, Lawrence F, Bis, Joshua C, Feitosa, Mary F, Lu, Lingyi, Kavousi, Maryam, Raffield, Laura M, Smith, Albert V, Wang, Lihua, Weiss, Stefan, Yao, Jie, Zhu, Jiaxi, Gudmundsson, Elias F, Gudmundsdottir, Valborg, Bos, Daniel, Ghanbari, Mohsen, Ikram, M Arfan, Hwang, Shih-Jen, Taylor, Kent D, Budoff, Matthew J, Gíslason, Gauti K, O’Donnell, Christopher J, An, Ping, Franceschini, Nora, Freedman, Barry I, Fu, Yi-Ping, Guo, Xiuqing, Heiss, Gerardo, Kardia, Sharon LR, Wilson, James G, Langefeld, Carl D, Schminke, Ulf, Uitterlinden, André G, Lange, Leslie A, Peyser, Patricia A, Gudnason, Vilmundur G, Psaty, Bruce M, Rotter, Jerome I, Bowden, Donald W, and Ng, Maggie CY

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Prevention, Human Genome, Heart Disease, Genetics, Biomedical Imaging, Heart Disease - Coronary Heart Disease, Cardiovascular, Aging, Diabetes, Biotechnology, Atherosclerosis, 2.1 Biological and endogenous factors, Good Health and Well Being, Black People, Diabetes Complications, Diabetes Mellitus, Type 2, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, White People, atherosclerosis, carotid intima-media thickness, coronary artery disease, genetics, genome-wide association study, Medical Biotechnology, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundCoronary artery calcification (CAC) and carotid artery intima-media thickness (cIMT) are measures of subclinical atherosclerosis in asymptomatic individuals and strong risk factors for cardiovascular disease. Type 2 diabetes (T2D) is an independent cardiovascular disease risk factor that accelerates atherosclerosis.MethodsWe performed meta-analyses of genome-wide association studies in up to 2500 T2D individuals of European ancestry (EA) and 1590 T2D individuals of African ancestry with or without exclusion of prevalent cardiovascular disease, for CAC measured by cardiac computed tomography, and 3608 individuals of EA and 838 individuals of African ancestry with T2D for cIMT measured by ultrasonography within the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium.ResultsWe replicated 2 loci (rs9369640 and rs9349379 near PHACTR1 and rs10757278 near CDKN2B) for CAC and one locus for cIMT (rs7412 and rs445925 near APOE-APOC1) that were previously reported in the general EA populations. We identified one novel CAC locus (rs8000449 near CSNK1A1L/LINC00547/POSTN at 13q13.3) at P=2.0×10-8 in EA. No additional loci were identified with the meta-analyses of EA and African ancestry. The expression quantitative trait loci analysis with nearby expressed genes derived from arterial wall and metabolic tissues from the Genotype-Tissue Expression project pinpoints POSTN, encoding a matricellular protein involved in bone formation and bone matrix organization, as the potential candidate gene at this locus. In addition, we found significant associations (P

Published
2021

12. HDAC9 is implicated in atherosclerotic aortic calcification and affects vascular smooth muscle cell phenotype

Author

Malhotra, Rajeev, Mauer, Andreas C, Lino Cardenas, Christian L, Guo, Xiuqing, Yao, Jie, Zhang, Xiaoling, Wunderer, Florian, Smith, Albert V, Wong, Quenna, Pechlivanis, Sonali, Hwang, Shih-Jen, Wang, Judy, Lu, Lingyi, Nicholson, Christopher J, Shelton, Georgia, Buswell, Mary D, Barnes, Hanna J, Sigurslid, Haakon H, Slocum, Charles, Rourke, Caitlin O’, Rhee, David K, Bagchi, Aranya, Nigwekar, Sagar U, Buys, Emmanuel S, Campbell, Catherine Y, Harris, Tamara, Budoff, Matthew, Criqui, Michael H, Rotter, Jerome I, Johnson, Andrew D, Song, Ci, Franceschini, Nora, Debette, Stephanie, Hoffmann, Udo, Kälsch, Hagen, Nöthen, Markus M, Sigurdsson, Sigurdur, Freedman, Barry I, Bowden, Donald W, Jöckel, Karl-Heinz, Moebus, Susanne, Erbel, Raimund, Feitosa, Mary F, Gudnason, Vilmundur, Thanassoulis, George, Zapol, Warren M, Lindsay, Mark E, Bloch, Donald B, Post, Wendy S, and O’Donnell, Christopher J

Subjects
Biological Sciences, Genetics, Heart Disease, Human Genome, Cardiovascular, Heart Disease - Coronary Heart Disease, 2.1 Biological and endogenous factors, Aged, Animals, Aorta, Atherosclerosis, Cohort Studies, Female, GTPase-Activating Proteins, Genetic Predisposition to Disease, Genome-Wide Association Study, Histone Deacetylases, Humans, Male, Mice, Mice, Inbred C57BL, Mice, Knockout, Middle Aged, Muscle Contraction, Muscle, Smooth, Vascular, Phenotype, Polymorphism, Single Nucleotide, Repressor Proteins, Vascular Calcification, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Aortic calcification is an important independent predictor of future cardiovascular events. We performed a genome-wide association meta-analysis to determine SNPs associated with the extent of abdominal aortic calcification (n = 9,417) or descending thoracic aortic calcification (n = 8,422). Two genetic loci, HDAC9 and RAP1GAP, were associated with abdominal aortic calcification at a genome-wide level (P

Published
2019

13. Epidemiological Analysis of Psoriasis in China from 2020 to 2022.

Author

Yuan, Feng, Cao, Lu, Lu, Lingyi, Wang, Sihan, Jiang, Fan, and Lin, Bingjiang

Abstract

Background: Psoriasis is a persistent inflammatory skin condition driven by an immune response and influenced by both genetic and environmental factors. The high likelihood of disease recurrence has been a major concern for many patients, while the concurrent presence of other conditions has significantly impacted their quality of life. Objective: To improve early detection of and treatment for patients by studying the epidemiological characteristics of patients with psoriasis in China. Methods: The Psoriasis Real-World Big Data Collection Platform was initiated by the National Skin and Immune Diseases Clinical Medical Research Center (Beijing First Hospital of Peking University) in August 2020. During the period from August 2020 to June 2022, a total of 1012 hospitals across the nation participated in data entry. This article presents an epidemiological feature analysis based on the real case questionnaire survey form collected over the past 2 years. Results: The prevalence of psoriasis is highest among young and middle-aged men, affecting largely the skin area. Factors such as smoking, obesity, and family history are likely to influence disease onset. In this study's data, the limbs and trunk were the most common sites for psoriasis onset, with cardiovascular disease being the most prevalent comorbidity. Topical corticosteroid creams are frequently used in treatment by Chinese patients, along with a notable proportion opting for oral Chinese medicine for systemic treatment. Secukinumab is the primary choice when utilizing biological agents. Conclusion: The actual data of patients with psoriasis from 2020 to 2022 offer crucial insights into the disease progression among the Chinese psoriasis population in recent years. Through an analysis of patient characteristics and treatment modalities, it furnishes valuable guidance for the prevention, early detection, and management of psoriasis. [ABSTRACT FROM AUTHOR]

Published
2025
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14. Kidney Disease, Hypertension Treatment, and Cerebral Perfusion and Structure

Author

Whelton, Paul, Johnson, Karen C., Snyder, Joni, Bild, Diane, Bonds, Denise, Cook, Nakela, Cutler, Jeffrey, Fine, Lawrence, Kaufmann, Peter, Kimmel, Paul, Launer, Lenore, Moy, Claudia, Riley, William, Ryan, Laurie, Tolunay, Eser, Yang, Song, Reboussin, David, Williamson, Jeff, Ambrosius, Walter T., Applegate, William, Evans, Greg, Foy, Capri, Freedman, Barry I., Kitzman, Dalane, Lyles, Mary, Pajewski, Nick, Rapp, Steve, Rushing, Scott, Shah, Neel, Sink, Kaycee M., Vitolins, Mara, Wagenknecht, Lynne, Wilson, Valerie, Perdue, Letitia, Woolard, Nancy, Craven, Tim, Garcia, Katelyn, Gaussoin, Sarah, Lovato, Laura, Newman, Jill, Lovato, James, Lu, Lingyi, McLouth, Chris, Russell, Greg, Amoroso, Bobby, Davis, Patty, Griffin, Jason, Harris, Darrin, King, Mark, Lane, Kathy, Roberson, Wes, Steinberg, Debbie, Ashford, Donna, Babcock, Phyllis, Chamberlain, Dana, Christensen, Vickie, Cloud, Loretta, Collins, Christy, Cook, Delilah, Currie, Katherine, Felton, Debbie, Harpe, Stacy, Howard, Marjorie, Lewis, Michelle, Nance, Pamela, Puccinelli-Ortega, Nicole, Russell, Laurie, Walker, Jennifer, Craven, Brenda, Goode, Candace, Troxler, Margie, Davis, Janet, Hutchens, Sarah, Killeen, Anthony A., Lukkari, Anna M., Ringer, Robert, Dillard, Brandi, Archibeque, Norbert, Warren, Stuart, Sather, Mike, Pontzer, James, Taylor, Zach, Soliman, Elsayed Z., Zhang, Zhu-Ming, Li, Yabing, Campbell, Chuck, Hensley, Susan, Hu, Julie, Keasler, Lisa, Barr, Mary, Taylor, Tonya, Bryan, R. Nick, Davatzikos, Christos, Nasarallah, Ilya, Desiderio, Lisa, Elliott, Mark, Borthakur, Ari, Battapady, Harsha, Erus, Guray, Smith, Alex, Wang, Ze, Doshi, Jimit, Wright, Jackson T., Jr., Rahman, Mahboob, Lerner, Alan J., Still, Carolyn, Wiggers, Alan, Zamanian, Sara, Bee, Alberta, Dancie, Renee, Thomas, George, Schreiber, Martin, Jr., Navaneethan, Sankar Dass, Hickner, John, Lioudis, Michael, Lard, Michelle, Marczewski, Susan, Maraschky, Jennifer, Colman, Martha, Aaby, Andrea, Payne, Stacey, Ramos, Melanie, Horner, Carol, Drawz, Paul, Raghavendra, Pratibha P., Ober, Scott, Mourad, Ronda, Pallaki, Muralidhar, Russo, Peter, Raghavendra, Pratibha, Fantauzzo, Pual, Tucker, Lisa, Schwing, Bill, Sedor, John R., Horwitz, Edward J., Schellling, Jeffrey R., O’Toole, John F., Humbert, Lisa, Tutolo, Wendy, White, Suzanne, Gay, Alishea, Clark, Walter, Jr., Hughes, Robin, Dobre, Mirela, Still, Carolyn H., Williams, Monique, Bhatt, Udayan, Hebert, Lee, Agarwal, Anil, Murphy, Melissa Brown, Ford, Nicole, Stratton, Cynthia, Baxter, Jody, Lykins, Alicia A., McKinley Neal Leena Hirmath, Alison, Kwame, Osei, Soe, Kyaw, Miser, William F., Sagrilla, Colleen, Johnston, Jan, Anaya, Amber, Mintos, Ashley, Howell, Angel A., Rogers, Kelly, Taylor, Sara, Ebersbacher, Donald, Long, Lucy, Bednarchik, Beth, Schnall, Adrian, Smith, Jonathan, Peysha, Lori, Leach, Lisa, Tribout, Megan, Harwell, Carla, Ellington, Pinkie, Banerji, Mary Ann, Ghody, Pranav, Rambaud, Melissa Vahídeh, Townsend, Raymond, Cohen, Debbie, Huan, Yonghong, Duckworth, Mark, Ford, Virginia, Leshner, Juliet, Davison, Ann, Veen, Sarah Vander, Gadegbeku, Crystal A., Gillespie, Avi, Paranjape, Anuradha, Amoroso, Sandra, Pfeffer, Zoe, Quinn, Sally B., He, Jiang, Chen, Jing, Lustigova, Eva, Malone, Erin, Krousel-Wood, Marie, Deichmann, Richard, Ronney, Patricia, Muery, Susan, Trapani, Donnalee, Rocco, Michael, Goff, David, Rodriguez, Carlos, Coker, Laura, Hawfield, Amret, Yeboah, Joseph, Crago, Lenore, Summerson, John, Hege, Anita, Diamond, Matt, Mulloy, Laura, Hodges, Marcela, Collins, Michelle, Weathers, Charlene, Anderson, Heather, Stone, Emily, Walker, Walida, McWilliams, Andrew, Dulin, Michael, Kuhn, Lindsay, Standridge, Susan, Lowe, Lindsay, Everett, Kelly, Preston, Kelry, Norton, Susan, Gaines, Silena, Rizvi, Ali A., Sides, Andrew W., Herbert, Diamond, Hix, Matthew M., Whitmire, Melanie, Arnold, Brittany, Hutchinson, Philip, Espiritu, Joseph, Feinglos, Mark, Kovalik, Eugene, Gedon-Lipscomb, Georgianne, Evans, Kathryn, Thacker, Connie, Zimmer, Ronna, Furst, Mary, Mason, MaryAnn, Powell, James, Bolin, Paul, Zhang, Junhong, Pinion, Mary, Davis, Gail, Bryant, Winifred, Phelps, Presley, Garris-Sutton, Connie, Atkinson, Beatrice, Contreras, Gabriele, Suarez, Maritza, Schulman, Ivonne, Koggan, Don, Vassallo, Jackie, Peruyera, Gloria, Whittington, Sheri, Bethea, Cassandra, Gilliam, Laura, Pedley, Carolyn, Zurek, Geraldine, Baird, Miriam, Herring, Charles, Smoak, Mary Martha, Williams, Julie, Rogers, Samantha, Gordon, Lindsay, Kennedy, Erin, Belle, Beverly, McCorkle-Doomy, Jessica, Adams, Jonathan, Lopez, Ramon, Janavs, Juris, Rahbari-Oskoui, Frederic, Chapman, Arlene, Dollar, Allen, Williams, Olubunmi, Han, Yoosun, Haley, William, Fitzpatrick, Peter, Blackshear, Joseph, Shapiro, Brian, Harrell, Anna, Palaj, Arta, Henderson, Katelyn, Johnson, Ashley, Gonzalez, Heath, Robinson, Jermaine, Tamariz, Leonardo, Denizard, Jennifer, Barakat, Rody, Krishnamoorthy, Dhurga, Greenway, Frank, Monce, Ron, Church, Timothy, Hendrick, Chelsea, Yoches, Aimee, Sones, Leighanne, Baltazar, Markee, Pemu, Priscilla, Jones, Connie, Akpalu, Derrick, Cheung, Alfred K., Beddhu, Srinivasan, Chelune, Gordon, Childs, Jeffrey, Gren, Lisa, Randall, Anne, Dember, Laura, Soares, Denise, Yee, Jerry, Umanath, Kausik, Ogletree, Naima, Thaxton, Schawana, Campana, Karen, Sheldon, Dayna, MacArthur, Krista, Muhlestein, J. Brent, Allred, Nathan, Clements, Brian, Dhar, Ritesh, Meredith, Kent, Le, Viet, Miner, Edward, Orford, James, Riessen, Erik R., Ballantyne, Becca, Chisum, Ben, Johnson, Kevin, Peeler, Dixie, Chertow, Glenn, Tamura, Manju, Chang, Tara, Erickson, Kevin, Shen, Jenny, Stafford, Randall S., Zaharchuk, Gregory, Del Cid, Margareth, Dentinger, Michelle, Sabino, Jennifer, Sahay, Rukmani, Telminova, Ekaterina, Weiner, Daniel E., Sarnak, Mark, Chan, Lily, Civiletto, Amanda, Heath, Alyson, Kantor, Amy, Jain, Priyanka, Kirkpatrick, Bethany, Well, Andrew, Yuen, Barry, Chonchol, Michel, Farmer, Beverly, Farmer, Heather, Greenwald, Carol, Malaczewski, Mikaela, Lash, James, Porter, Anna, Ricardo, Ana, Rosman, Robert T., Cohan, Janet, Barrera, Nieves Lopez, Meslar, Daniel, Meslar, Patricia, Conroy, Margaret, Unruh, Mark, Hess, Rachel, Jhamb, Manisha, Thomas, Holly, Fazio, Pam, Klixbull, Elle, Komlos-Weimer, Melissa, Mandich, LeeAnne, Vita, Tina, Toto, Robert, Van Buren, Peter, Inrig, Julia, Cruz, Martha, Lightfoot, Tammy, Wang, Nancy, Webster, Lori, Raphael, Kalani, Stults, Barry, Zaman, Tahir, Simmons, Debra, Lavasani, Tooran, Filipowicz, Rebecca, Wei, Guo, Miller, Gracie Mary, Harerra, Jenice, Christensen, Jeff, Giri, Ajay, Chen, Xiaorui, Anderton, Natalie, Jensen, Arianna, Lewis, Julia, Burgner, Anna, Dwyer, Jamie P., Schulman, Gerald, Herrud, Terri, Leavell, Ewanda, McCray, Tiffany, McNeil-Simaan, Edwina, Poudel, Munmun, Reed, Malia, Sika, Mohammed, Woods, Delia, Zirkenbach, Janice L., Raj, Dominic S., Cohen, Scott, Patel, Samir, Velasquez, Manuel, Bastian, Roshni S., Wing, Maria, Roy-Chaudhury, Akshay, Depner, Thomas, Dalyrymple, Lorien, Kaysen, George, Anderson, Susan, Nord, John, Ix, Joachim H., Goldenstein, Leonard, Miracle, Cynthia M., Forbang, Nketi, Mircic, Maja, Thomas, Brenda, Tran, Tiffany, Rastogi, Anjay, Kim, Mihae, Rashid, Mohamad, Lizarraga, Bianca, Hocza, Amy, Sarmosyan, Kristine, Norris, Jason, Sharma, Tushar, Chioy, Amanda, Bernard, Eric, Cabrera, Eleanore, Lopez, Christina, Nunez, Susana, Riad, Joseph, Schweitzer, Suzanne, Sirop, Siran, Thomas, Sarah, Wada, Lauren, Kramer, Holly, Bansal, Vinod, Taylor, Corliss E., Segal, Mark S., Hall, Karen L., Kazory, Amir, Gilbert, Lesa, Owens, Linda, Poulton, Danielle, Whidden, Elaine, Wiggins, Jocelyn, Blaum, Caroline, Nyquist, Linda, Min, Lillian, Gure, Tanya, Lewis, Ruth, Mawby, Jennifer, Robinson, Eileen, Oparil, Suzanne, Lewis, Cora E., Bradley, Virginia, Calhoun, David, Glasser, Stephen, Jenkins, Kim, Ramsey, Tom, Qureshi, Nauman, Ferguson, Karen, Haider, Sumrah, James, Mandy, Jones, Christy, Renfroe, Kim, Seay, April, Weigart, Carrie, Thornley-Brown, Denyse, Rizik, Dana, Cotton, Bari, Fitz-Gerald, Meredith, Grimes, Tiffany, Johnson, Carolyn, Kennedy, Sara, Mason, Chanel, Rosato-Burson, Lesa, Willingham, Robin, Judd, Eric, Breaux-Shropshire, Tonya, Cook, Felice, Medina, Julia, Ghazi, Lama, Bhatt, Hemal, Lewis, James, Brantley, Roman, Brouilette, John, Glaze, Jeffrey, Hall, Stephanie, Hiott, Nancy, Tharpe, David, Boddy, Spencer, Mack, Catherine, Womack, Catherine, Asao, Keiko, Griffin, Beate, Hendrix, Carol, Johnson, Karen, Jones, Lisa, Towers, Chelsea, Punzi, Henry, Cassidy, Kathy, Schumacher, Kristin, Irizarry, Carmen, Colon, Ilma, Colon-Ortiz, Pedro, Colón-Hernández, Pedro J., Carrasquillo-Navarro, Orlando J., Carrasquillo, Merari, Vazquez, Nivea, Sosa-Padilla, Miguel, Cintron-Pinero, Alex, Ayala, Mayra, Pacheco, Olga, Rivera, Catalina, Sotomayor-Gonzalez, Irma, Claudio, Jamie, Lazaro, Jose, Arce, Migdalia, Heres, Lourdes, Perez, Alba, Tavarez-Valle, Jose, Arocho, Ferlinda, Torres, Mercedes, Vazquez, Melvaliz, Aurigemma, Gerard P., Takis-Smith, Rebecca, Andrieni, Julia, Bodkin, Noelle, Chaudhary, Kiran, Hu, Paula, Kostis, John, Cosgrove, Nora, Bankowski, Denise, Boleyn, Monica, Casazza, Laurie, Giresi, Victoria, Patel, Tosha, Squindo, Erin, Wu, Yan, Henson, Zeb, Wofford, Marion, Lowery, Jessica, Minor, Deborah, Harkins, Kimberley, Auchus, Alexander, Flessner, Michael, Adair, Cathy, Asher, Jordan, Loope, Debbie, Cobb, Rita, Venegas, Reiner, Bigger, Thomas, Bello, Natalie, Homma, Shunichi, Donovan, Daniel, Lopez-Jimenez, Carlos, Tirado, Amilcar, Getaneh, Asqual, Tang, Rocky, Durant, Sabrina, Maurer, Mathew, Teruya, Sergio, Helmke, Stephen, Alvarez, Julissa, Campbell, Ruth, Pisoni, Roberto, Sturdivant, Rachel, Brooks, Deborah, Counts, Caroline, Hunt, Vickie, Spillers, Lori, Brautigam, Donald, Kitchen, Timothy, Gorman, Timothy, Sayers, Jessica, Button, Sarah, Chiarot, June, Fischer, Rosemary, Lyon, Melissa, Resnick, Maria, Hodges, Nicole, Ferreira, Jennifer, Cushman, William, Wall, Barry, Nichols, Linda, Burns, Robert, Martindale-Adams, Jennifer, Berlowitz, Dan, Clark, Elizabeth, Walsh, Sandy, Geraci, Terry, Huff, Carol, Shaw, Linda, Servilla, Karen, Vigil, Darlene, Barrett, Terry, Sweeney, Mary Ellen, Johnson, Rebecca, McConnell, Susan, Salles, Khadijeh Shahid, Watson, Francoise, Schenk, Cheryl, Whittington, Laura, Maher, Maxine, Williams, Jonathan, Swartz, Stephen, Conlin, Paul, Alexis, George, Lamkin, Rebecca, Underwood, Patti, Gomes, Helen, Rosendorff, Clive, Atlas, Stephen, Khan, Saadat, Gonzalez, Waddy, Barcham, Samih, Kwon, Lawrence, Matar, Matar, Adhami, Anwar, Basile, Jan, John, Joseph, Ham, Deborah, Baig, Hadi, Saklayen, Mohammed, Yap, Jason, Neff, Helen, Miller, Carol, Zheng-Phelan, Ling, Gappy, Saib, Rau, Shiva, Raman, Arathi, Berchou, Vicki, Jones, Elizabeth, Olgren, Erin, Marbury, Cynthia, Yudd, Michael, Sastrasinh, Sithiporn, Michaud, Jennine, Fiore, Jessica, Kutza, Marianne, Shorr, Ronald, Mount, Rattana, Dunn, Helen, Stinson, Susan, Hunter, Jessica, Taylor, Addison, Bates, Jeffery, Anderson, Catherine, Kirchner, Kent, Stubbs, Jodi, Hinton, Ardell, Spencer, Anita, Sharma, Santosh, Wiegmann, Thomas, Mehta, Smita, Krause, Michelle, Dishongh, Kate, Childress, Richard, Gyamlani, Geeta, Niakan, Atossa, Thompson, Cathy, Moody, Janelle, Gresham, Carolyn, Whittle, Jeffrey, Barnas, Gary, Wolfgram, Dawn, Cortese, Heidi, Johnson, Jonette, Roumie, Christianne, Hung, Adriana, Wharton, Jennifer, Niesner, Kurt, Katz, Lois, Richardson, Elizabeth, Brock, George, Holland, Joanne, Dixon, Troy, Zias, Athena, Spiller, Christine, Baker, Penelope, Felicetta, James, Rehman, Shakaib, Bingham, Kelli, Watnick, Suzanne, Cohen, David, Weiss, Jessica, Johnston, Tera, Giddings, Stephen, Yamout, Hala, Klein, Andrew, Rowe, Caroline, Vargo, Kristin, Waidmann, Kristi, Papademetriou, Vasilios, Elkhoury, Jean Pierre, Gregory, Barbara, Amodeo, Susan, Bloom, Mary, Goldfarb-Waysman, Dalia, Treger, Richard, Kashefi, Mehran, Huang, Christina, Knibloe, Karen, Ishani, Areef, Slinin, Yelena, Olney, Christine, Rust, Jacqueline, Fanti, Paolo, Dyer, Christopher, Bansal, Shweta, Dunnam, Monica, Hu, Lih-Lan, Zarate-Abbott, Perla, Kurella Tamura, Manjula, Pajewski, Nicholas M., Zaharchuk, Greg, Rapp, Stephen R., Auchus, Alexander P., Haley, William E., Kendrick, Jessica, Roumie, Christianne L., Williamson, Jeff D., Detre, John A., Dolui, Sudipto, and Nasrallah, Ilya M.

Published
2022
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15. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.

Author

Franceschini, Nora, Giambartolomei, Claudia, de Vries, Paul S, Finan, Chris, Bis, Joshua C, Huntley, Rachael P, Lovering, Ruth C, Tajuddin, Salman M, Winkler, Thomas W, Graff, Misa, Kavousi, Maryam, Dale, Caroline, Smith, Albert V, Hofer, Edith, van Leeuwen, Elisabeth M, Nolte, Ilja M, Lu, Lingyi, Scholz, Markus, Sargurupremraj, Muralidharan, Pitkänen, Niina, Franzén, Oscar, Joshi, Peter K, Noordam, Raymond, Marioni, Riccardo E, Hwang, Shih-Jen, Musani, Solomon K, Schminke, Ulf, Palmas, Walter, Isaacs, Aaron, Correa, Adolfo, Zonderman, Alan B, Hofman, Albert, Teumer, Alexander, Cox, Amanda J, Uitterlinden, André G, Wong, Andrew, Smit, Andries J, Newman, Anne B, Britton, Annie, Ruusalepp, Arno, Sennblad, Bengt, Hedblad, Bo, Pasaniuc, Bogdan, Penninx, Brenda W, Langefeld, Carl D, Wassel, Christina L, Tzourio, Christophe, Fava, Cristiano, Baldassarre, Damiano, O'Leary, Daniel H, Teupser, Daniel, Kuh, Diana, Tremoli, Elena, Mannarino, Elmo, Grossi, Enzo, Boerwinkle, Eric, Schadt, Eric E, Ingelsson, Erik, Veglia, Fabrizio, Rivadeneira, Fernando, Beutner, Frank, Chauhan, Ganesh, Heiss, Gerardo, Snieder, Harold, Campbell, Harry, Völzke, Henry, Markus, Hugh S, Deary, Ian J, Jukema, J Wouter, de Graaf, Jacqueline, Price, Jacqueline, Pott, Janne, Hopewell, Jemma C, Liang, Jingjing, Thiery, Joachim, Engmann, Jorgen, Gertow, Karl, Rice, Kenneth, Taylor, Kent D, Dhana, Klodian, Kiemeney, Lambertus ALM, Lind, Lars, Raffield, Laura M, Launer, Lenore J, Holdt, Lesca M, Dörr, Marcus, Dichgans, Martin, Traylor, Matthew, Sitzer, Matthias, Kumari, Meena, Kivimaki, Mika, Nalls, Mike A, Melander, Olle, Raitakari, Olli, Franco, Oscar H, Rueda-Ochoa, Oscar L, Roussos, Panos, Whincup, Peter H, Amouyel, Philippe, and Giral, Philippe

Subjects
MEGASTROKE Consortium, Humans, Coronary Disease, Genetic Predisposition to Disease, Amino Acid Oxidoreductases, Protein-Lysine 6-Oxidase, Risk Factors, Lod Score, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study, Plaque, Atherosclerotic, Carotid Intima-Media Thickness, ADAMTS9 Protein, Plaque, Atherosclerotic, Polymorphism, Single Nucleotide
Abstract

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.

Published
2018

25. Impact of neighborhood disadvantage on cardiometabolic health and cognition in a community‐dwelling cohort.

Author

Krishnamurthy, Sudarshan, Lu, Lingyi, Johnson, Christian J., Baker, Laura D., Leng, Xiaoyan, Gaussoin, Sarah A., Hughes, Timothy M., Ma, Da, Caban‐Holt, Allison, Byrd, Goldie S., Craft, Suzanne, Lockhart, Samuel N., and Bateman, James R.

Subjects
ALZHEIMER'S disease, SOCIAL determinants of health, COGNITIVE aging, MILD cognitive impairment, HEALTH equity
Abstract

INTRODUCTION: Neighborhood disadvantage may be an important determinant of cardiometabolic health and cognitive aging. However, less is known about relationships among individuals with mild cognitive impairment (MCI). METHODS: The objective of this study is to investigate the relationship between neighborhood disadvantage measured by national Area Deprivation Index (ADI) rank with measures of cardiometabolic health and cognition among Wake Forest (WF) Alzheimer's Disease Research Center (ADRC) participants, with and without MCI. RESULTS: ADI was positively associated with blood pressure and cardiometabolic index (CMI), and negatively associated with global and Preclinical Alzheimer's Cognitive Composite (PACC5) scores, in cognitively unimpaired (CU) individuals. ADI was only positively associated with hemoglobin A1c (HbA1c) in MCI. DISCUSSION: Neighborhood disadvantage is associated more strongly with measures of cardiometabolic health and cognition among CU individuals rather than MCI. These findings demonstrate a need for structural solutions to address social determinants of health in an attempt to reduce cardiometabolic and cognitive risks. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiation

Author

Chu, Audrey Y, Deng, Xuan, Fisher, Virginia A, Drong, Alexander, Zhang, Yang, Feitosa, Mary F, Liu, Ching-Ti, Weeks, Olivia, Choh, Audrey C, Duan, Qing, Dyer, Thomas D, Eicher, John D, Guo, Xiuqing, Heard-Costa, Nancy L, Kacprowski, Tim, Kent, Jack W, Lange, Leslie A, Liu, Xinggang, Lohman, Kurt, Lu, Lingyi, Mahajan, Anubha, O'Connell, Jeffrey R, Parihar, Ankita, Peralta, Juan M, Smith, Albert V, Zhang, Yi, Homuth, Georg, Kissebah, Ahmed H, Kullberg, Joel, Laqua, René, Launer, Lenore J, Nauck, Matthias, Olivier, Michael, Peyser, Patricia A, Terry, James G, Wojczynski, Mary K, Yao, Jie, Bielak, Lawrence F, Blangero, John, Borecki, Ingrid B, Bowden, Donald W, Carr, John Jeffrey, Czerwinski, Stefan A, Ding, Jingzhong, Friedrich, Nele, Gudnason, Vilmunder, Harris, Tamara B, Ingelsson, Erik, Johnson, Andrew D, Kardia, Sharon LR, Langefeld, Carl D, Lind, Lars, Liu, Yongmei, Mitchell, Braxton D, Morris, Andrew P, Mosley, Thomas H, Rotter, Jerome I, Shuldiner, Alan R, Towne, Bradford, Völzke, Henry, Wallaschofski, Henri, Wilson, James G, Allison, Matthew, Lindgren, Cecilia M, Goessling, Wolfram, Cupples, L Adrienne, Steinhauser, Matthew L, and Fox, Caroline S

Subjects
Biological Sciences, Genetics, Prevention, Human Genome, Adipocytes, Animals, Body Fat Distribution, Cell Differentiation, Cohort Studies, Ethnicity, Female, Genetic Loci, Genetic Markers, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Mice, Mice, Inbred C57BL, Obesity, Phenotype, Polymorphism, Single Nucleotide, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Variation in body fat distribution contributes to the metabolic sequelae of obesity. The genetic determinants of body fat distribution are poorly understood. The goal of this study was to gain new insights into the underlying genetics of body fat distribution by conducting sample-size-weighted fixed-effects genome-wide association meta-analyses in up to 9,594 women and 8,738 men of European, African, Hispanic and Chinese ancestry, with and without sex stratification, for six traits associated with ectopic fat (hereinafter referred to as ectopic-fat traits). In total, we identified seven new loci associated with ectopic-fat traits (ATXN1, UBE2E2, EBF1, RREB1, GSDMB, GRAMD3 and ENSA; P < 5 × 10-8; false discovery rate < 1%). Functional analysis of these genes showed that loss of function of either Atxn1 or Ube2e2 in primary mouse adipose progenitor cells impaired adipocyte differentiation, suggesting physiological roles for ATXN1 and UBE2E2 in adipogenesis. Future studies are necessary to further explore the mechanisms by which these genes affect adipocyte biology and how their perturbations contribute to systemic metabolic disease.

Published
2017

29. Relationship Between Family History and Quality of Life in Patients with Psoriasis: A Cross-Sectional Study from China

Author

Jiang,Fan, Lu,Lingyi, Wang,Sihan, Yuan,Feng, Cao,Lu, Xu,Suling, Lin,Bingjiang, Jiang,Fan, Lu,Lingyi, Wang,Sihan, Yuan,Feng, Cao,Lu, Xu,Suling, and Lin,Bingjiang

Abstract

Fan Jiang, Lingyi Lu, Sihan Wang, Feng Yuan, Lu Cao, Suling Xu,&ast; Bingjiang Lin&ast; Department of Dermatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang; National Clinical Medical Research Center for Skin and Immune Diseases, Beijing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Suling Xu; Bingjiang Lin, Department of Dermatology, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Ningbo, Zhejiang, 315000, People’s Republic of China, Email linbingjiangnb@163.comPurpose: The purpose of this study was to investigate the comprehensive impact of family history of psoriasis, lesion size, disease severity, and the possibility of joint involvement on patients’ quality of life(QoL).Patients and Methods: Data from 5961 patients with psoriasis recruited from 440 hospitals throughout China were analyzed. The effects of family history of psoriasis, Body Surface Area(BSA), Psoriasis Area and Severity Index(PASI), and Psoriasis Epidemiology Screening Tool(PEST) on their Dermatology Life Quality Index(DLQI) were studied using a moderated chained mediated effects test.Results: A total of 912 patients (15.30%) had a family history of psoriasis, and 5071 patients (85.10%) had plaque psoriasis. In patients with plaque psoriasis, the variables of family history, PASI, PEST, and DLQI were positively correlated with each other. Additionally, in patients with other types of psoriasis, PASI was positively correlated with PEST and DLQI. Age was positively correlated with PASI and PEST and negatively correlated with DLQI in patients with plaque psoriasis; their Body Mass Index(BMI) and disease duration were in positive correlation with PASI and PEST. The mediation effect of PASI and PEST between family history and DLQI was remarkable in patients with plaque psoriasis and not in those with other types of psoriasis. BSA moderated the association between family history and PA

Published
2024

31. Impact of Rural Residence on Forgoing Healthcare after Cancer Because of Cost

Author

Palmer, Nynikka RA, Geiger, Ann M, Lu, Lingyi, Case, L Douglas, and Weaver, Kathryn E

Subjects
Basic Behavioral and Social Science, Clinical Research, Aging, Rural Health, Rehabilitation, Health Services, Cancer, Behavioral and Social Science, 7.1 Individual care needs, Management of diseases and conditions, Health and social care services research, 8.1 Organisation and delivery of services, Good Health and Well Being, Aged, Aged, 80 and over, Cross-Sectional Studies, Delivery of Health Care, Female, Healthcare Disparities, Humans, Logistic Models, Male, Middle Aged, Neoplasms, Rural Population, Survivors, Treatment Refusal, United States, Urban Population, Medical and Health Sciences, Epidemiology
Abstract

BackgroundRoutine follow-up care is recommended to promote the well-being of cancer survivors, but financial difficulties may interfere. Rural-urban disparities in forgoing healthcare due to cost have been observed in the general population; however, it is unknown whether this disparity persists among survivors. The purpose of this study was to examine rural-urban disparities in forgoing healthcare after cancer due to cost.MethodsWe analyzed data from 7,804 cancer survivors in the 2006 to 2010 National Health Interview Survey. Logistic regression models, adjusting for sociodemographic and clinical characteristics, were used to assess rural-urban disparities in forgoing medical care, prescription medications, and dental care due to cost, stratified by age (younger: 18-64, older: 65+).ResultsCompared with urban survivors, younger rural survivors were more likely to forgo medical care (P < 0.001) and prescription medications (P < 0.001) due to cost; older rural survivors were more likely to forgo medical (P < 0.001) and dental care (P = 0.05). Rural-urban disparities did not persist among younger survivors in adjusted analyses; however, older rural survivors remained more likely to forgo medical [OR = 1.66, 95% confidence interval (CI) = 1.11-2.48] and dental care (OR = 1.54, 95%CI = 1.08-2.20).ConclusionsAdjustment for health insurance and other sociodemographic characteristics attenuates rural-urban disparities in forgoing healthcare among younger survivors, but not older survivors. Financial factors relating to healthcare use among rural survivors should be a topic of continued investigation.ImpactAddressing out-of-pocket costs may be an important step in reducing rural-urban disparities in healthcare, especially for older survivors. It will be important to monitor how healthcare reform efforts impact disparities observed in this vulnerable population.

Published
2013

32. Rural–urban differences in health behaviors and implications for health status among US cancer survivors

Author

Weaver, Kathryn E, Palmer, Nynikka, Lu, Lingyi, Case, L Douglas, and Geiger, Ann M

Subjects
Rehabilitation, Cancer, Behavioral and Social Science, Rural Health, Obesity, Prevention, Basic Behavioral and Social Science, Stroke, Oral and gastrointestinal, Cardiovascular, Good Health and Well Being, Aged, Aged, 80 and over, Cross-Sectional Studies, Exercise, Female, Health Behavior, Health Services Accessibility, Health Status Disparities, Humans, Life Style, Male, Middle Aged, National Health Programs, Neoplasms, Risk Factors, Rural Population, Smoking, Socioeconomic Factors, Survivors, United States, Urban Population, Oncology and Carcinogenesis, Public Health and Health Services, Epidemiology
Abstract

PurposeRural US adults have increased risk of poor outcomes after cancer, including increased cancer mortality. Rural-urban differences in health behaviors have been identified in the general population and may contribute to cancer health disparities, but have not yet been examined among US survivors. We examined rural-urban differences in health behaviors among cancer survivors and associations with self-reported health and health-related unemployment.MethodsWe identified rural (n = 1,642) and urban (n = 6,162) survivors from the cross-sectional National Health Interview Survey (2006-2010) and calculated the prevalence of smoking, physical activity, overweight/obesity, and alcohol consumption. Multivariable models were used to examine the associations of fair/poor health and health-related unemployment with health behaviors and rural-urban residence.ResultsThe prevalence of fair/poor health (rural 36.7 %, urban 26.6 %), health-related unemployment (rural 18.5 %, urban 10.6 %), smoking (rural 25.3 %, urban 15.8 %), and physical inactivity (rural 50.7 %, urban 38.7 %) was significantly higher in rural survivors (all p

Published
2013

33. Racial/Ethnic disparities in health care receipt among male cancer survivors.

Author

Palmer, Nynikka RA, Geiger, Ann M, Felder, Tisha M, Lu, Lingyi, Case, L Douglas, and Weaver, Kathryn E

Subjects
Aging, Clinical Research, Vaccine Related, Cancer, Prevention, Rehabilitation, Immunization, Good Health and Well Being, Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Cross-Sectional Studies, Ethnicity, Health Care Surveys, Health Services Accessibility, Healthcare Disparities, Humans, Influenza Vaccines, Male, Middle Aged, Neoplasms, Odds Ratio, Pneumococcal Vaccines, Primary Health Care, Racial Groups, Regression Analysis, Specialization, Survivors, United States, Young Adult, Continental Population Groups, Ethnic Groups, Medical and Health Sciences, Public Health
Abstract

ObjectivesWe examined racial/ethnic disparities in health care receipt among a nationally representative sample of male cancer survivors.MethodsWe identified men aged 18 years and older from the 2006-2010 National Health Interview Survey who reported a history of cancer. We assessed health care receipt in 4 self-reported measures: primary care visit, specialist visit, flu vaccination, and pneumococcal vaccination. We used hierarchical logistic regression modeling, stratified by age (< 65 years vs ≥ 65 years).ResultsIn adjusted models, older African American and Hispanic survivors were approximately twice as likely as were non-Hispanic Whites to not see a specialist (odds ratio [OR] = 1.78; 95% confidence interval [CI] = 1.19, 2.68 and OR = 2.09; 95% CI = 1.18, 3.70, respectively), not receive the flu vaccine (OR = 2.21; 95% CI = 1.45, 3.37 and OR = 2.20; 95% CI = 1.21, 4.01, respectively), and not receive the pneumococcal vaccine (OR = 2.24; 95% CI = 1.54, 3.24 and OR = 3.10; 95% CI = 1.75, 5.51, respectively).ConclusionsRacial/ethnic disparities in health care receipt are evident among older, but not younger, cancer survivors, despite access to Medicare. These survivors may be less likely to see specialists, including oncologists, and receive basic preventive care.

Published
2013

34. A genome-wide association search for type 2 diabetes genes in African Americans.

Author

Palmer, Nicholette D, McDonough, Caitrin W, Hicks, Pamela J, Roh, Bong H, Wing, Maria R, An, S Sandy, Hester, Jessica M, Cooke, Jessica N, Bostrom, Meredith A, Rudock, Megan E, Talbert, Matthew E, Lewis, Joshua P, DIAGRAM Consortium, MAGIC Investigators, Ferrara, Assiamira, Lu, Lingyi, Ziegler, Julie T, Sale, Michele M, Divers, Jasmin, Shriner, Daniel, Adeyemo, Adebowale, Rotimi, Charles N, Ng, Maggie CY, Langefeld, Carl D, Freedman, Barry I, Bowden, Donald W, Voight, Benjamin F, Scott, Laura J, Steinthorsdottir, Valgerdur, Morris, Andrew P, Dina, Christian, Welch, Ryan P, Zeggini, Eleftheria, Huth, Cornelia, Aulchenko, Yurii S, Thorleifsson, Gudmar, McCulloch, Laura J, Ferreira, Teresa, Grallert, Harald, Amin, Najaf, Wu, Guanming, Willer, Cristen J, Raychaudhuri, Soumya, McCarroll, Steve A, Langenberg, Claudia, Hofmann, Oliver M, Dupuis, Josée, Qi, Lu, Segrè, Ayellet V, van Hoek, Mandy, Navarro, Pau, Ardlie, Kristin, Balkau, Beverley, Benediktsson, Rafn, Bennett, Amanda J, Blagieva, Roza, Boerwinkle, Eric, Bonnycastle, Lori L, Boström, Kristina Bengtsson, Bravenboer, Bert, Bumpstead, Suzannah, Burtt, Noël P, Charpentier, Guillaume, Chines, Peter S, Cornelis, Marilyn, Couper, David J, Crawford, Gabe, Doney, Alex SF, Elliott, Katherine S, Elliott, Amanda L, Erdos, Michael R, Fox, Caroline S, Franklin, Christopher S, Ganser, Martha, Gieger, Christian, Grarup, Niels, Green, Todd, Griffin, Simon, Groves, Christopher J, Guiducci, Candace, Hadjadj, Samy, Hassanali, Neelam, Herder, Christian, Isomaa, Bo, Jackson, Anne U, Johnson, Paul RV, Jørgensen, Torben, Kao, Wen HL, Klopp, Norman, Kong, Augustine, Kraft, Peter, Kuusisto, Johanna, Lauritzen, Torsten, Li, Man, Lieverse, Aloysius, Lindgren, Cecilia M, Lyssenko, Valeriya, Marre, Michel, Meitinger, Thomas, and Midthjell, Kristian

Subjects
DIAGRAM Consortium, MAGIC Investigators, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, African Americans, Female, Male, Meta-Analysis as Topic, Validation Studies as Topic, Genome-Wide Association Study, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, General Science & Technology
Abstract

African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P

Published
2012

36. Men show increased brain aging with respect to women among Cognitively Normal Individuals

Author

Casanova, Ramon, primary, Lu, Lingyi, additional, Hsu, Fang‐Chi, additional, Anderson, Andrea, additional, Barnard, Ryan, additional, Justice, Jamie, additional, Bateman, James R., additional, Lockhart, Samuel N., additional, Walker, Keenan A., additional, Hughes, Tim M., additional, Kritchevsky, Stephen B, additional, Espeland, Mark A., additional, and Craft, Suzanne, additional

Published
2023
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38. Relationship Between Family History and Quality of Life in Patients with Psoriasis: A Cross-Sectional Study from China.

Author

Jiang, Fan, Lu, Lingyi, Wang, Sihan, Yuan, Feng, Cao, Lu, Xu, Suling, and Lin, Bingjiang

Subjects
FAMILY history (Medicine), QUALITY of life, FAMILY history (Sociology), PSORIASIS, FAMILY relations, ATHEROSCLEROTIC plaque
Abstract

Purpose: The purpose of this study was to investigate the comprehensive impact of family history of psoriasis, lesion size, disease severity, and the possibility of joint involvement on patients' quality of life(QoL). Patients and Methods: Data from 5961 patients with psoriasis recruited from 440 hospitals throughout China were analyzed. The effects of family history of psoriasis, Body Surface Area(BSA), Psoriasis Area and Severity Index(PASI), and Psoriasis Epidemiology Screening Tool(PEST) on their Dermatology Life Quality Index(DLQI) were studied using a moderated chained mediated effects test. Results: A total of 912 patients (15.30%) had a family history of psoriasis, and 5071 patients (85.10%) had plaque psoriasis. In patients with plaque psoriasis, the variables of family history, PASI, PEST, and DLQI were positively correlated with each other. Additionally, in patients with other types of psoriasis, PASI was positively correlated with PEST and DLQI. Age was positively correlated with PASI and PEST and negatively correlated with DLQI in patients with plaque psoriasis; their Body Mass Index(BMI) and disease duration were in positive correlation with PASI and PEST. The mediation effect of PASI and PEST between family history and DLQI was remarkable in patients with plaque psoriasis and not in those with other types of psoriasis. BSA moderated the association between family history and PASI in patients with plaque psoriasis. Conclusion: PASI and PEST play a chain mediating role in the relationship between family history and DLQI in patients with plaque psoriasis, and high levels of BSA increase the ability of family history to positively predict PASI in plaque psoriasis, thereby affecting the patient's QoL. [ABSTRACT FROM AUTHOR]

Published
2024
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41. Abstract 1900: Radiotherapy-induced early adverse skin reactions: Comparative analysis of clinician- and patient-reported outcomes in a multi-racial/ethnic breast cancer population (WF-97609)

Author

Urbanic, James J., primary, Shaw, Edward G., additional, Takita, Cristiane, additional, Wright, Jean L., additional, Ip, Edward H., additional, Lu, Lingyi, additional, Baez-Diaz, Luis, additional, Brown, Doris R., additional, Strasser, Jon, additional, Baglan, Kathy, additional, Palmer, Mark, additional, Thakrar, Anu, additional, Curtis, Amarinthia E., additional, Lesser, Glenn, additional, and Hu, Jennifer J., additional

Published
2023
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48. Genetic Association and Gene-Gene Interaction Analyses in African American Dialysis Patients With Nondiabetic Nephropathy

Author

Bostrom, Meredith A., Kao, W.H. Linda, Li, Man, Abboud, Hanna E., Adler, Sharon G., Iyengar, Sudha K., Kimmel, Paul L., Hanson, Robert L., Nicholas, Susanne B., Rasooly, Rebekah S., Sedor, John R., Coresh, Josef, Kohn, Orly F., Leehey, David J., Thornley-Brown, Denyse, Bottinger, Erwin P., Lipkowitz, Michael S., Meoni, Lucy A., Klag, Michael J., Lu, Lingyi, Hicks, Pamela J., Langefeld, Carl D., Parekh, Rulan S., Bowden, Donald W., and Freedman, Barry I.

Published
2012
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