Author: "Lee-Ming Chuang" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Lee-Ming Chuang"' showing total 571 results

Start Over Author "Lee-Ming Chuang"

571 results on '"Lee-Ming Chuang"'

51. Measurement of visceral fat: should we include retroperitoneal fat?

Author: Chi-Sheng Hung, Jen-Kuang Lee, Chung-Yi Yang, Hung-Ren Hsieh, Wen-Ya Ma, Mao-Shin Lin, Pi-Hua Liu, Shyang-Rong Shih, Jyh-Ming Liou, Lee-Ming Chuang, Ming-Fong Chen, Jou-Wei Lin, Jung-Nan Wei, and Hung-Yuan Li
Subjects: Medicine, Science
Abstract: OBJECTIVE: Whether retroperitoneal fat should be included in the measurement of visceral fat remains controversial. We compared the relationships of fat areas in peritoneal, retroperitoneal, and subcutaneous compartments to metabolic syndrome, adipokines, and incident hypertension and diabetes. METHODS: We enrolled 432 adult participants (153 men and 279 women) in a community-based cohort study. Computed tomography at the umbilicus level was used to measure the fat areas. RESULTS: Retroperitoneal fat correlated significantly with metabolic syndrome (adjusted odds ratio (OR), 5.651, p
Published: 2014
Full Text: View/download PDF

52. Genetic Variations in the Kir6.2 Subunit (KCNJ11) of Pancreatic ATP-Sensitive Potassium Channel Gene Are Associated with Insulin Response to Glucose Loading and Early Onset of Type 2 Diabetes in Childhood and Adolescence in Taiwan

Author: Yi-Der Jiang, Lee-Ming Chuang, Dee Pei, Yann-Jinn Lee, Jun-Nan Wei, Fung-Chang Sung, and Tien-Jyun Chang
Subjects: Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: To investigate the role of E23K polymorphism of the KCNJ11 gene on early onset of type 2 diabetes in school-aged children/adolescents in Taiwan, we recruited 38 subjects with type 2 diabetes (ages 18.6 ± 6.6 years; body mass index percentiles 83.3 ± 15.4) and 69 normal controls (ages 17.3 ± 3.8 years; body mass index percentiles 56.7 ± 29.0) from a national surveillance for childhood/adolescent diabetes in Taiwan. We searched for the E23K polymorphism of the KCNJ11 gene. We found that type 2 diabetic subjects had higher carrier rate of E23K polymorphism of KCNJ11 gene than control subjects (P = 0.044). After adjusting for age, gender, body mass index percentiles, and fasting plasma insulin, the E23K polymorphism contributed to an increased risk for type 2 diabetes (P = 0.047). K23-allele-containing genotypes conferring increased plasma insulin level during OGTT in normal subjects. However, the diabetic subjects with the K23-allele-containing genotypes had lower fasting plasma insulin levels after adjustment of age and BMI percentiles. In conclusion, the E23K variant of the KCNJ11 gene conferred higher susceptibility to type 2 diabetes in children/adolescents. Furthermore, in normal glucose-tolerant children/adolescents, K23 allele carriers had a higher insulin response to oral glucose loading.
Published: 2014
Full Text: View/download PDF

53. Validation of type 2 diabetes risk variants identified by genome-wide association studies in Han Chinese population: a replication study and meta-analysis.

Author: Yi-Cheng Chang, Pi-Hua Liu, Yu-Hsiang Yu, Shan-Shan Kuo, Tien-Jyun Chang, Yi-Der Jiang, Jiun-Yi Nong, Juey-Jen Hwang, and Lee-Ming Chuang
Subjects: Medicine, Science
Abstract: BACKGROUND: Several genome-wide association studies (GWAS) involving European populations have successfully identified risk genetic variants associated with type 2 diabetes mellitus (T2DM). However, the effects conferred by these variants in Han Chinese population have not yet been fully elucidated. METHODS: We analyzed the effects of 24 risk genetic variants with reported associations from European GWAS in 3,040 Han Chinese subjects in Taiwan (including 1,520 T2DM cases and 1,520 controls). The discriminative power of the prediction models with and without genotype scores was compared. We further meta-analyzed the association of these variants with T2DM by pooling all candidate-gene association studies conducted in Han Chinese. RESULTS: Five risk variants in IGF2BP2 (rs4402960, rs1470579), CDKAL1 (rs10946398), SLC30A8 (rs13266634), and HHEX (rs1111875) genes were nominally associated with T2DM in our samples. The odds ratio was 2.22 (95% confidence interval, 1.81-2.73, P34) as compared with subjects with the lowest quartile (score
Published: 2014
Full Text: View/download PDF

54. Correlation of Circulating Acid-Labile Subunit Levels with Insulin Sensitivity and Serum LDL Cholesterol in Patients with Type 2 Diabetes: Findings from a Prospective Study with Rosiglitazone

Author: Ying-Chuen Lai, Hung-Yuan Li, Ta-Jen Wu, Chi-Yuan Jeng, and Lee-Ming Chuang
Subjects: Biology (General), QH301-705.5
Abstract: Silencing of acid-labile subunit (ALS) improved glucose metabolism in animal models. The aim of this study is to evaluate the effects of rosiglitazone (RSG) on ALS levels in individuals with type 2 diabetes. A randomized, double-blind, placebo-controlled trial was conducted. Subjects with type 2 diabetes mellitus were randomly distributed to an RSG-treated (n=30) or a placebo (n=31) group. Patients were evaluated prior to treatment at baseline and at 12 and 24 weeks after treatment. At baseline, ALS levels were negatively associated with low-density lipoprotein cholesterol (LDLc) levels and homeostatic model assessment version 2 insulin sensitivity (HOMA2-%S). Over 24 weeks, there was a significantly greater reduction in ALS levels in the nonobese RSG-treated individuals than placebo-treated group. The effect of RSG on ALS was not significant in obese individuals. Fasting plasma glucose and hemoglobin A1c were reduced, but total cholesterol and LDLc were increased, in patients on RSG. Change in ALS levels predicted changes in total cholesterol and HOMA2-%S over time. This study suggested a BMI-dependent effect of RSG treatment on ALS levels. Reduction of ALS by RSG increases the risk of atherosclerosis in individuals with type 2 diabetes.
Published: 2014
Full Text: View/download PDF

55. Plasma adiponectin levels correlate positively with an increasing number of components of frailty in male elders.

Author: Jaw-Shiun Tsai, Chih-Hsun Wu, Su-Chiu Chen, Kuo-Chin Huang, Chin-Ying Chen, Ching-I Chang, Lee-Ming Chuang, and Ching-Yu Chen
Subjects: Medicine, Science
Abstract: OBJECTIVE: Frailty is an important geriatric syndrome. Adiponectin is an important adipokine that regulates energy homeostasis. The aim of this study is to investigate the relationship between plasma adiponectin levels and frailty in elders. METHODS: The demographic data, body weight, metabolic and inflammatory parameters, including plasma glucose, total cholesterol, triglyceride, tumor necrosis factor alpha (TNF-α), c-reactive protein (CRP) and adiponectin levels, were assessed. The frailty score was assessed using the Fried Frailty Index (FFI). RESULTS: The mean (SD) age of the 168 participants [83 (49.4%) men and 85 (50.6%) women] was 76.86 (6.10) years. Judged by the FFI score, 42 (25%) elders were robust, 92 (54.7%) were pre-frail, and 34 (20.3%) were frail. The mean body mass index was 25.19 (3.42) kg/m(2). The log-transformed mean (SD) plasma adiponectin (µg/mL) level was 1.00 (0.26). The log-transformed mean plasma adiponectin (µg/mL) levels were 0.93 (0.23) in the robust elders, 1.00 (0.27) in the pre-frail elders, and 1.10 (0.22) in the frail elders, and the differences between these values were statistically significant (p = 0.012). Further analysis showed that plasma adiponectin levels rose progressively with an increasing number of components of frailty in all participants as a whole (p for trend = 0.024) and males (p for trend = 0.037), but not in females (p for trend = 0.223). CONCLUSION: Plasma adiponectin levels correlate positively with an increasing number of components of frailty in male elders. The difference between the sexes suggests that certain sex-specific mechanisms may exist to affect the association between adiponectin levels and frailty.
Published: 2013
Full Text: View/download PDF

56. Prolonged induction activates Cebpα independent adipogenesis in NIH/3T3 cells.

Author: Hsiao-Yun Shao, Hsue-Yin Hsu, Kuan-Sju Wu, Siow-Wey Hee, Lee-Ming Chuang, and Jih-I Yeh
Subjects: Medicine, Science
Abstract: BACKGROUND: 3T3-L1 cells are widely used to study adipogenesis and insulin response. Their adipogenic potential decreases with time in the culture. Expressing exogenous genes in 3T3-L1 cells can be challenging. This work tries to establish and characterize an alternative model of cultured adipocytes that is easier to work with than the 3T3-L1 cells. METHODOLOGY/PRINCIPAL FINDINGS: INDUCED CELLS WERE IDENTIFIED AS ADIPOCYTES BASED ON THE FOLLOWING THREE CHARACTERISTICS: (1) Accumulation of triglyceride droplets as demonstrated by oil red O stain. (2) Transport rate of 2-deoxyglucose increased after insulin stimulation. (3) Expression of fat specific genes such as Fabp4 (aP2), Slc2a4 (Glut4) and Pparg (PPARγ). Among the cell lines induced under different conditions in this study, only NIH/3T3 cells differentiated into adipocytes after prolonged incubation in 3T3-L1 induction medium containing 20% instead of 10% fetal bovine serum. Rosiglitazone added to the induction medium shortened the incubation period from 14 to 7 days. The PI3K/AKT pathway showed similar changes upon insulin stimulation in these two adipocytes. C/EBPα mRNA was barely detectable in NIH/3T3 adipocytes. NIH/3T3 adipocytes induced in the presence of rosiglitazone showed higher 2-deoxyglucose transport rate after insulin stimulation, expressed less Agt (angiotensinogen) and more PPARγ. Knockdown of C/EBPα using shRNA blocked 3T3-L1 but not NIH/3T3 cell differentiation. Mouse adipose tissues from various anatomical locations showed comparable levels of C/EBPα mRNA. CONCLUSIONS/SIGNIFICANCE: NIH/3T3 cells were capable of differentiating into adipocytes without genetic engineering. They were an adipocyte model that did not require the reciprocal activation between C/EBPα and PPARγ to differentiate. Future studies in the C/EBPα independent pathways leading to insulin responsiveness may reveal new targets to diabetes treatment.
Published: 2013
Full Text: View/download PDF

57. Genetic variation in the NOC gene is associated with body mass index in Chinese subjects.

Author: Yi-Cheng Chang, Yen-Feng Chiu, Pi-Hua Liu, Siow Wei Hee, Tien-Jyun Chang, Yi-Der Jiang, Wei-Jei Lee, Po-Chu Lee, Hui-Yi Kao, Juey-Jen Hwang, and Lee-Ming Chuang
Subjects: Medicine, Science
Abstract: Circadian clock genes are critical regulators of energy homeostasis and metabolism. However, whether variation in the circadian genes is associated with metabolic phenotypes in humans remains to be explored. In this study, we systemically genotyped 20 tag single nucleotide polymorphisms (SNPs) in 8 candidate genes involved in circadian clock, including CLOCK, BMAL1(ARNTL), PER1, PER2, CRY1, CRY2, CSNK1E,, and NOC(CCRN4L) in 1,510 non-diabetic Chinese subjects in Taipei and Yunlin populations in Taiwan. Their associations with metabolic phenotypes were analyzed. We found that genetic variation in the NOC gene, rs9684900 was associated with body mass index (BMI) (P = 0.0016, Bonferroni corrected P = 0.032). Another variant, rs135764 in the CSNK1E gene was associated with fasting glucose (P = 0.0023, Bonferroni corrected P = 0.046). These associations were consistent in both Taipei and Yunlin populations. Significant epistatic and joint effects between SNPs on BMI and related phenotypes were observed. Furthermore, NOC mRNA levels in human abdominal adipose tissue were significantly increased in obese subjects compared to non-obese controls.Genetic variation in the NOC gene is associated with BMI in Chinese subjects.
Published: 2013
Full Text: View/download PDF

58. Inference of cross-level interaction between genes and contextual factors in a matched case-control metabolic syndrome study: a Bayesian approach.

Author: Shi-Heng Wang, Wei J Chen, Lee-Ming Chuang, Po-Chang Hsiao, Pi-Hua Liu, and Chuhsing K Hsiao
Subjects: Medicine, Science
Abstract: Genes, environment, and the interaction between them are each known to play an important role in the risk for developing complex diseases such as metabolic syndrome. For environmental factors, most studies focused on the measurements observed at the individual level, and therefore can only consider the gene-environment interaction at the same individual scale. Indeed the group-level (called contextual) environmental variables, such as community factors and the degree of local area development, may modify the genetic effect as well. To examine such cross-level interaction between genes and contextual factors, a flexible statistical model quantifying the variability of the genetic effects across different categories of the contextual variable is in need. With a Bayesian generalized linear mixed-effects model with an unconditional likelihood, we investigate whether the individual genetic effect is modified by the group-level residential environment factor in a matched case-control metabolic syndrome study. Such cross-level interaction is evaluated by examining the heterogeneity in allelic effects under various contextual categories, based on posterior samples from Markov chain Monte Carlo methods. The Bayesian analysis indicates that the effect of rs1801282 on metabolic syndrome development is modified by the contextual environmental factor. That is, even among individuals with the same genetic component of PPARG_Pro12Ala, living in a residential area with low availability of exercise facilities may result in higher risk. The modification of the group-level environment factors on the individual genetic attributes can be essential, and this Bayesian model is able to provide a quantitative assessment for such cross-level interaction. The Bayesian inference based on the full likelihood is flexible with any phenotype, and easy to implement computationally. This model has a wide applicability and may help unravel the complexity in development of complex diseases.
Published: 2013
Full Text: View/download PDF

59. Cancer risk associated with insulin glargine among adult type 2 diabetes patients--a nationwide cohort study.

Author: Chia-Hsuin Chang, Sengwee Toh, Jou-Wei Lin, Shu-Ting Chen, Chuei-Wen Kuo, Lee-Ming Chuang, and Mei-Shu Lai
Subjects: Medicine, Science
Abstract: BACKGROUND: Preclinical and observational studies raise the concern about the safety of insulin glargine in terms of cancer initiation and promotion. This study is designed to examine cancer incidence associated with use of insulin glargine vs. intermediate/long-acting human insulin (HI). METHODOLOGY: A retrospective cohort study using the Taiwan National Health Insurance claims database was conducted to identify adult patients with type 2 diabetes mellitus and without a history of cancer who initiated insulin glargine (n = 10,190) or intermediate/long-acting HI (n = 49,253) during 2004-2007. Exclusive users were followed from the date of insulin initiation to the earliest of cancer diagnosis, death, disenrollment, or December 31 2007. We estimated adjusted hazard ratios and 95% confidence intervals (CIs) with Cox proportional hazards models adjusting for baseline propensity score. FINDINGS: The incidence rate of all cancer per 1,000 person-years was 13.8 for insulin glargine initiators (179 cases) and 16.0 for intermediate/long-acting HI initiators (1,445 cases) during an average follow-up of 2 years. No significant difference in overall cancer risk between insulin glargine initiators and HI initiators was found. For men, however, the adjusted hazard ratio of insulin glargine use as compared with intermediate/long-acting HI was 2.15 (95% CI 1.01-4.59) for pancreatic cancer, and 2.42 (95% CI 1.50-8.40) for prostate cancer. The increased risk was not observed among women. CONCLUSIONS: Insulin glargine use did not increase the risk of overall cancer incidence as compared with HI. The positive associations with pancreatic and prostate cancer need further evaluation and validation.
Published: 2011
Full Text: View/download PDF

60. A genome-wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese.

Author: Fuu-Jen Tsai, Chi-Fan Yang, Ching-Chu Chen, Lee-Ming Chuang, Chieh-Hsiang Lu, Chwen-Tzuei Chang, Tzu-Yuan Wang, Rong-Hsing Chen, Chiung-Fang Shiu, Yi-Min Liu, Chih-Chun Chang, Pei Chen, Chien-Hsiun Chen, Cathy S J Fann, Yuan-Tsong Chen, and Jer-Yuarn Wu
Subjects: Genetics, QH426-470
Abstract: To investigate the underlying mechanisms of T2D pathogenesis, we looked for diabetes susceptibility genes that increase the risk of type 2 diabetes (T2D) in a Han Chinese population. A two-stage genome-wide association (GWA) study was conducted, in which 995 patients and 894 controls were genotyped using the Illumina HumanHap550-Duo BeadChip for the first genome scan stage. This was further replicated in 1,803 patients and 1,473 controls in stage 2. We found two loci not previously associated with diabetes susceptibility in and around the genes protein tyrosine phosphatase receptor type D (PTPRD) (P = 8.54x10(-10); odds ratio [OR] = 1.57; 95% confidence interval [CI] = 1.36-1.82), and serine racemase (SRR) (P = 3.06x10(-9); OR = 1.28; 95% CI = 1.18-1.39). We also confirmed that variants in KCNQ1 were associated with T2D risk, with the strongest signal at rs2237895 (P = 9.65x10(-10); OR = 1.29, 95% CI = 1.19-1.40). By identifying two novel genetic susceptibility loci in a Han Chinese population and confirming the involvement of KCNQ1, which was previously reported to be associated with T2D in Japanese and European descent populations, our results may lead to a better understanding of differences in the molecular pathogenesis of T2D among various populations.
Published: 2010
Full Text: View/download PDF

61. Kidney and Cardiovascular Effects of Canagliflozin According to Age and Sex

Author: Tae Won Yi, Brendan Smyth, Gian Luca Di Tanna, Clare Arnott, Kathryn Cardoza, Amy Kang, Carol Pollock, Rajiv Agarwal, George Bakris, David M. Charytan, Dick de Zeeuw, Hiddo J.L. Heerspink, Bruce Neal, David C. Wheeler, Christopher P. Cannon, Hong Zhang, Bernard Zinman, Vlado Perkovic, Adeera Levin, Kenneth W. Mahaffey, Meg Jardine, Barry M. Brenner, Tom Greene, Meg J. Jardine, Gary Meininger, Nicole Li, Inna Kolesnyk, Diego Aizenberg, Roberto Pecoits-Filho, David Cherney, Gregorio Obrador, Glenn Chertow, Tara Chang, Carmel Hawley, Linong Ji, Takashi Wada, Vivekanand Jha, Soo Kun Lim, Mary Anne Lim-Abrahan, Florence Santos, Dong-Wan Chae, Shang-Jyh Hwang, Evgueniy Vazelov, Ivan Rychlík, Samy Hadjadj, Vera Krane, László Rosivall, Luca De Nicola, Alexander Dreval, Michał Nowicki, Adalbert Schiller, Larry Distiller, Jose L. Górriz, Mykola Kolesnyk, null David, C. Wheeler, Rodolfo Andres Ahuad Guerrero, Juan Pablo Albisu, Andres Alvarisqueta, Ines Bartolacci, Mario Alberto Berli, Anselmo Bordonava, Pedro Calella, Maria Cecilia Cantero, Luis Rodolfo Cartasegna, Esteban Cercos, Gabriela Cecilia Coloma, Hugo Colombo, Victor Commendatore, Jesus Cuadrado, Carlos Alberto Cuneo, Ana Maria Cusumano, Walter Guillermo Douthat, Ricardo Dario Dran, Eduardo Farias, Maria Florencia Fernandez, Hernan Finkelstein, Guillermo Fragale, Jose Osvaldo Fretes, Nestor Horacio Garcia, Anibal Gastaldi, Elizabeth Gelersztein, Jorge Archibaldo Glenny, Joaquin Pablo Gonzalez, Patricia del Carmen Gonzalez Colaso, Claudia Goycoa, Gustavo Cristian Greloni, Adrian Guinsburg, Sonia Hermida, Luis Isaias Juncos, Maria Isabel Klyver, Florencia Kraft, Fernando Krynski, Paulina Virginia Lanchiotti, Ricardo Alfonso Leon de la Fuente, Nora Marchetta, Pablo Mele, Silvia Nicolai, Pablo Antonio Novoa, Silvia Ines Orio, Fabian Otreras, Alejandra Oviedo, Pablo Raffaele, Jorge Hector Resk, Lucas Rista, Nelson Rodriguez Papini, Jorgelina Sala, Juan Carlos Santos, Lilia Beatriz Schiavi, Horacio Sessa, Tomas Smith Casabella, Maria Rosa Ulla, Maria Valdez, Augusto Vallejos, Adriana Villarino, Virginia Esther Visco, Alfredo Wassermann, Cesar Javier Zaidman, Ngai Wah Cheung, Carolyn Droste, Ian Fraser, David Johnson, Peak Mann Mah, Kathy Nicholls, David Packham, Joseph Proietto, Anthony Roberts, Simon Roger, Venessa Tsang, Roberto Abrão Raduan, Fernando Augusto Alves da Costa, Celso Amodeo, Luiz Alberto Andreotti Turatti, Rachel Bregman, Fernanda Cristina Camelo Sanches, Luis Henrique Canani, Antônio Roberto Chacra, João Lindolfo Cunha Borges, Sérgio Alberto Cunha Vêncio, Roberto Jorge da Silva Franco, Domingos d’Avila, Evandro de Souza Portes, Pedro de Souza, Luciane Mônica Deboni, Fadlo Fraige Filho, Bruno Geloneze Neto, Marcus Gomes, Suely Keiko Kohara, Elizete Keitel, Jose Francisco Kerr Saraiva, Hugo Roberto Kurtz Lisboa, Fabiana Loss de Carvalho Contieri, Rosângela Milagres, Renan Montenegro Junior, Claudia Moreira de Brito, Miguel Nasser Hissa, Ângela Regina Nazario Sabbag, Irene Noronha, Daniel Panarotto, Roberto Pecoits Filho, Márcio Antônio Pereira, Wladmir Saporito, Antonio Scafuto Scotton, Tiago Schuch, Roberto Simões de Almeida, Cássio Slompo Ramos, João Soares Felício, Fernando Thomé, Jean Carlo Tibes Hachmann, Sérgio Yamada, Cesar Yoiti Hayashida, Tarissa Beatrice Zanata Petry, Maria Teresa Zanella, Viktoria Andreeva, Angelina Angelova, Stefan Dimitrov, Veselka Genadieva, Gabriela Genova-Hristova, Kiril Hristozov, Zdravko Kamenov, Atanas Koundurdjiev, Lachezar Lozanov, Viktor Margaritov, Boyan Nonchev, Rangel Rangelov, Alexander Shinkov, Margarita Temelkova, Ekaterina Velichkova, Andrian Yakov, Naresh Aggarwal, Ronnie Aronson, Harpreet Bajaj, Guy Chouinard, James Conway, Serge Cournoyer, Gerald DaRoza, Sacha De Serres, François Dubé, Ronald Goldenberg, Anil Gupta, Milan Gupta, Sam Henein, Hasnain Khandwala, Lawrence Leiter, François Madore, Alan McMahon, Norman Muirhead, Vincent Pichette, Remi Rabasa-Lhoret, Andrew Steele, Navdeep Tangri, Ali Torshizi, Vincent Woo, Nadia Zalunardo, María Alicia Fernández Montenegro, Juan Gonzalo Godoy Jorquera, Marcelo Medina Fariña, Victor Saavedra Gajardo, Margarita Vejar, Nan Chen, Qinkai Chen, Shenglian Gan, Yaozhong Kong, Detian Li, Wenge Li, Xuemei Li, Hongli Lin, Jian Liu, Weiping Lu, Hong Mao, Yan Ren, Weihong Song, Jiao Sun, Lin Sun, Ping Tu, Guixia Wang, Jinkui Yang, Aiping Yin, Xueqing Yu, Minghui Zhao, Hongguang Zheng, Jose Luis Accini Mendoza, Edgar Arcos, Jorge Avendano, Jorge Ernesto Andres Diaz Ruiz, Luis Hernando Garcia Ortiz, Alexander Gonzalez, Eric Hernandez Triana, Juan Diego Higuera, Natalia Malaver, Dora Inés Molina de Salazar, Ricardo Rosero, Monica Alexandra Terront Lozano, Luis Valderrama Cometa, Alex Valenzuela, Ruben Dario Vargas Alonso, Ivan Villegas, Hernan Yupanqui, Dagmar Bartaskova, Petr Barton, Jana Belobradkova, Lenka Dohnalova, Tomas Drasnar, Richard Ferkl, Katarina Halciakova, Vera Klokocnikova, Richard Kovar, Jiri Lastuvka, Martin Lukac, Satu Pesickova, Karel Peterka, Jiri Pumprla, Ivan Rychlik, Frantisek Saudek, Vladimir Tesar, Martin Valis, Pavel Weiner, Stanislav Zemek, Eric Alamartine, Sophie Borot, Bertrand Cariou, Bertrand Dussol, Jean-Pierre Fauvel, Pierre Gourdy, Alexandre Klein, Yannick Le Meur, Alfred Penfornis, Ronan Roussel, Pierre-Jean Saulnier, Eric Thervet, Philippe Zaoui, Volker Burst, Markus Faghih, Grit Faulmann, Hermann Haller, Reinhold Jerwan-Keim, Stephan Maxeiner, Björn Paschen, Georg Plassmann, Ludger Rose, Ronaldo Arturo Gonzalez Orellana, Franklin Paul Haase, Juan Pablo Moreira Diaz, Luis Alberto Ramirez Roca, Jose Antonio Sánchez Arenales, José Vicente Sanchez Polo, Erick Turcios Juarez, Gyongyi Csecsei, Botond Csiky, Peter Danos, Laszlo Deak, Mihaly Dudas, Eleonora Harcsa, Katalin Keltai, Sandor Keresztesi, Krisztian Kiss, Laszlo Konyves, Lajos Major, Margit Mileder, Marta Molnar, Janos Mucsi, Tamas Oroszlan, Ivan Ory, Gyorgy Paragh, Eva Peterfai, Gizella Petro, Katalin Revesz, Robert Takacs, Sandor Vangel, Szilard Vasas, Marianna Zsom, Oomman Abraham, Raju Sree Bhushan, Dewan Deepak, Fernando M. Edwin, Natarajan Gopalakrishnan, Noble Gracious, Alva Hansraj, Dinesh Jain, C.B. Keshavamurthy, Dinesh Khullar, Sahay Manisha, Jayameena Peringat, Narayan Prasad, Rao K. Satyanarayana, Reddy Sreedhar, Melemadathil Sreelatha, Bhimavarapu Sudhakar, Ramesh Chandra Vyasam, Riccardo Bonadonna, Pietro Castellino, Antonio Ceriello, Luca Chiovato, Salvatore De Cosmo, Giuseppe Derosa, Alberto Di Carlo, Graziano Di Cianni, Giovanni Frascà, Giorgio Fuiano, Giovanni Gambaro, Giacomo Garibotto, Carlo Giorda, Fabio Malberti, Marcora Mandreoli, Edoardo Mannucci, Emanuela Orsi, Piermarco Piatti, Domenico Santoro, Ferdinando Carlo Sasso, Gaetano Serviddio, Andrea Stella, Roberto Trevisan, Anna Maria Veronelli, Luca Zanoli, Hitoshi Akiyama, Hiromi Aoki, Akimichi Asano, Tadashi Iitsuka, Shizuo Kajiyama, Susumu Kashine, Toshio Kawada, Takamoto Kodera, Hiroshi Kono, Kazunori Koyama, Yasuro Kumeda, Shozo Miyauchi, Kazuyuki Mizuyama, Tetsuji Niiya, Hiroko Oishi, Satoshi Ota, Terue Sakakibara, Masahiko Takai, Osamu Tomonaga, Mitsuru Tsujimoto, Masakiyo Wakasugi, Yasushi Wakida, Takayuki Watanabe, Masayo Yamada, Kazuhiro Yanagida, Toshihiko Yanase, Wataru Yumita, Egle Gaupsiene, Dalia Kozloviene, Antanas Navickas, Egle Urbanaviciene, Rohana Abdul Ghani, Khalid Abdul Kadir, Norsiah Ali, Mohd Daud Che Yusof, Chye Lee Gan, Mastura Ismail, Wei Yen Kong, Swee Win Lam, Li Yuan Lee, Chek Loong Loh, Anita Bhajan Manocha, Kee Sing Ng, Nik Nur Fatnoon Nik Ahmad, Vanassa Ratnasingam, Saiful Shahrizal Bin Shudim, Paranthaman Vengadasalam, Luis David Abraira Munoz, Melchor Alpizar Salazar, Juan Baas Cruz, Mario Burgos Soto, Jose Chevaile Ramos, Alfredo Chew Wong, Jose Ricardo Correa Rotter, Tonatiu Diaz Escalante, Favio Edmundo Enriquez Sosa, Fernando Flores Lozano, Luis Fernando Flota Cervera, Paul Frenk Baron, Cecilia Garcia Ballesteros, Jose David Gomez Rangel, Luis Enrique Herrera Jimenez, Sergio Saul Irizar Santana, Fernando Jimenez Flores, Hugo Laviada Molina, Rosa Isela Luna Ceballos, Belia Martin del Campo Blanco, Guadalupe Morales Franco, Oscar Tarsicio Moreno Loza, Cynthia Mustieles Rocha, Gregorio Obrador Vera, Ricardo Orozco Castellanos, Juan Peralta Calcaneo, Miguel Angel Reyes Rosano, Hiromi Rodriguez Pattzi, Juan Rosas Guzman, Isabel Erika Rucker Joerg, Sandra Berenice Saavedra Sanchez, Jose Hector Sanchez Mijangos, Pablo Serrano Sanson, Juan Alfredo Tamayo y Orozco, Eloisa Tellez Chavez, Alejandro Valdes Cepeda, Luis Venegas Carrillo, Juan Villagordoa Mesa, Rolando Zamarripa Escobedo, John Baker, Paul Noonan, Russell Scott, Robert Walker, Edward Watson, Michael Williams, Simon Young, Zaynab Abejuela, Jeimeen Agra, Grace Aquitania, Clodoaido Caringal, Rhea Severina Comia, Lalaine Delos Santos, Olivert Gomez, Cecilia Jimeno, Gerry Tan, Marsha Tolentino, Christy Yao, Yvette Ethel Yap, Ma. Dovie Lallaine Ygpuara, Renata Bijata-Bronisz, Lucyna Hotlos, Andrzej Januszewicz, Barbara Kaczmarek, Anna Kaminska, Lech Lazuka, Andrzej Madej, Stanislaw Mazur, Dorota Mlodawska-Choluj, Michal Nowicki, Grazyna Orlowska-Kowalik, Grazyna Popenda, Barbara Rewerska, Dariusz Sowinski, Liliana Monica Angelescu, Veronica Anghel, Rodica-Ioana Avram, Mihaela-Magdalena Busegeanu, Adriana Cif, Dana Cosma, Carmen Crisan, Luiza Despina Demian, Ioana Emilia Ferariu, Ildiko Halmagyi, Nicolae Hancu, Mircea Munteanu, Doru Negru, Adriana Gabriela Onaca, Ligia Petrica, Amorin Remus Popa, Aurelian-Emil Ranetti, Cristian Serafinceanu, Cristina Toarba, Alina Agafyina, Olga Barbarash, Olga Barysheva, Daniil Chizhov, Vladimir Dobronravov, Irina Glinkina, Elena Grineva, Vladimir Khirmanov, Elena Kolmakova, Tatiana Koroleva, Liudmila Kvitkova, Viacheslav Marasaev, Ashot Mkrtumyan, Tatiana Morugova, Galina Nagibovich, Oleg Nagibovich, Sergei Nedogoda, Irina Osipova, Tatiana Raskina, Yulia Samoylova, Olga Sazonova, Minara Shamkhalova, Elena Shutemova, Yuriy Shwartz, Oleg Uriasyev, Sergey Vorobyev, Anna Zateyshchikova, Dmitry Zateyshshikov, Tatyana Zykova, Slobodan Antic, Miodrag Djordjevic, Aleksandra Kendereski, Katarina Lalic, Nebojsa Lalic, Vesna Popovic-Radinovic, Jana Babikova, Olga Benusova, Ingrid Buganova, Jan Culak, Andrej Dzupina, Jana Dzuponova, Peter Fulop, Adriana Ilavska, Emil Martinka, Zuzana Ochodnicka, Daniel Pella, Iveta Smatanova, Fayzal Ahmed, Aysha Badat, Johannes Breedt, Lawrence Distiller, Vimladhevi Govender, Ravendran Govender, Mukesh Joshi, Jaco Jurgens, Gulam Latiff, Landman Lombard, Mohamed Mookadam, Nomangesi Ngcakani, Hendrik Nortje, Helena Oosthuizen, Larisha Pillay-Ramaya, Hans Prozesky, Jeevren Reddy, Paul Rheeder, Mary Seeber, Young Min Cho, In-Kyung Jeong, Sin Gon Kim, Yeong Hoon Kim, Hyuk-Sang Kwon, Min Jeong Kwon, Byung-Wan Lee, JungEun Lee, Moon-Kyu Lee, Moon-Suk Nam, Kook-Hwan Oh, Cheol- Young Park, Sun-Hee Park, Kun Ho Yoon, Pere Alvarez Garcia, Luis Asmarats Mercadal, Clara Barrios, Fernando Cereto Castro, Secundino Cigarran Guldris, Marta Dominguez Lopez, Jesus Egido de los Rios, Gema Fernandez Fresnedo, Antonio Galan Serrano, Isabel Garcia, Francisco Javier Gonzalez Martinez, Jose Esteban Jodar Gimeno, Manuel Lopez Mendoza, Tamara Malek Marin, Cristobal Morales Portillo, Maria Antonia Munar Vila, Manuel Muñoz Torres, Javier Nieto Iglesias, Jonay Pantoja Perez, Merce Perez Vera, Jose M. Portoles Perez, María Angustias Quesada Simón, Rafael Simo Canonge, Alfonso Soto Gonzalez, Manel Terns Riera, Francisco Jose Tinahones Madueno, Mercedes Velo Plaza, Chwen-Tzuei Chang, Lee-Ming Chuang, Te-Lin Hsia, Chang-Hsun Hsieh, Chih-Ching Lin, Yung- Chuan Lu, Wayne H-H Sheu, Olga Barna, Svitlana D. Bilyk, Volodymyr Botsyurko, Iryna Dudar, Ivan Fushtey, Olga Godlevska, Oleksandr Golovchenko, Olga Gyrina, Anatoliy Kazmirchuk, Iuliia Komisarenko, Oleksii Korzh, Nonna Kravchun, Oleg Legun, Borys Mankovskyy, Liliya Martynyuk, Yuriy Mostovoy, Nataliia Pashkovska, Larysa Pererva, Tetyana Pertseva, Oleksandr Samoylov, Ivan Smirnov, Yevgeniya Svyshchenko, Halyna Tomashkevych, Ivan Topchii, Nadiya Tryshchuk, Vira Tseluyko, Vadym Vizir, Maryna Vlasenko, Tetiana Zlova, Liliia Zub, Salah Abusnana, Mohamed Railey, Kamal Abouglila, Paul Ainsworth, Zishan Ali, Vijayaraman Arutchelvam, Maria Barnard, Srikanth Bellary, Emyr Davies, Mark Davies, Simon Davies, Alison Dawson, Mohsen El Kossi, Patrick English, Donald Fraser, Luigi Gnudi, Anthony Gunstone, Timothy Hall, Wasim Hanif, Alan Jackson, Andrew Johnson, Franklin Joseph, Singhan Krishnan, Mick Kumwenda, Iain MacDougall, Paul Nixon, Joseph O'Hare, Sam Philip, Shenaz Ramtoola, Manish Saxena, Davesh Sennik, Godwin Simon, Baldev Singh, Jeffrey Stephens, Anna Strzelecka, Rehan Symonds, Wayne Turner, Mona Wahba, John Wakeling, David Wheeler, Peter Winocour, Joseph Abdallah, Raied Abdullah, Matthew Abramowitz, Idalia Acosta, Joseph Aiello, Laura Akright, Ayim Akyea-Djamson, Rajendran Alappan, Radica Alicic, Amer Al-Karadsheh, Dale Crawford Allison, Carlos Arauz-Pacheco, Shahabul Arfeen, Ahmed Arif, Moogali Arvind, Naveen Atray, Ahmed Awad, Peggy Barnhill, Elizabeth Barranco, Carlos Barrera, Matthew Beacom, Venkata Behara, Diogo Belo, Rhonda Bentley-Lewis, Ramon Berenguer, Lidia Bermudez, Marializa Bernardo, Mihaela Biscoveanu, Cynthia Bowman-Stroud, Donald Brandon, Osvaldo Brusco, Robert Busch, Yamil Canaan, Alicia Chilito, Tom Christensen, Cynthia Christiano, Elena Christofides, Caroucel Chuateco, Kenneth Cohen, Robert Cohen, Debbie Cohen-Stein, Charles Cook, Daniel Coyne, Nizar Daboul, Riad Darwish, Adarsh Daswani, Kenneth Deck, Cyrus Desouza, Devasmita Dev, Monika Dhillon, Sohan Dua, Frank Eder, Ana Maria Elosegui, Mohamed El-Shahawy, John Ervin, Alberto Esquenazi, John Evans, Steven Fishbane, Juan Frias, Eugenia Galindo-Ramos, Claude Galphin, Adline Ghazi, Enrique Gonzalez, David Gorson, Anupama Gowda, Barbara Greco, Stephen Grubb, Rakesh Gulati, Jamal Hammoud, Stuart Handelsman, Israel Hartman, Kenneth Hershon, Daniel Hiser, George Hon, Radu Jacob, Maria Jaime, Aamir Jamal, Charles Kaupke, Gerald Keightley, Elizabeth Kern, Rakhi Khanna, Zeid Khitan, Sun Kim, Nelson Kopyt, Csaba Kovesdy, Gopal Krishna, Jeffrey (Jay) Kropp, Amrendra Kumar, Jayant Kumar, Neil Kumar, Jorge Kusnir, Wendy Lane, Mary Lawrence, Lawrence Lehrner, John Lentz, Dennis Levinson, Derek Lewis, Kenneth Liss, Andreas Maddux, Hiralal Maheshwari, Sreedhar Mandayam, Isam Marar, Bhasker Mehta, John Middleton, Jorge Mordujovich, Ramon Moreda, Moustafa Moustafa, Samuel Mujica Trenche, Mohanram Narayanan, Javier Narvarte, Tareq Nassar, George Newman, Brian Nichol, Philip Nicol, Josier Nisnisan, A. Kaldun Nossuli, Chamberlain Obialo, Sarah Olelewe, Michael Oliver, Andrew O'Shaughnessy, John Padron, Rohit Pankhaniya, Reginald Parker, Devesh Patel, Gnyandev Patel, Nina Patel, Humberto Pavon, Armando Perez, Carlos Perez, Alan Perlman, Karlton Pettis, Walter Pharr, Andrea Phillips, Raman Purighalla, Luis Quesada-Suarez, Rajiv Ranjan, Sanjeev Rastogi, Jakkidi Reddy, Marc Rendell, Lisa Rich, Michael Robinson, Hector Rodriguez, Sylvia Rosas, Fadi Saba, Rallabhandi Sankaram, Ravi Sarin, Robert Schreiman, David Scott, Mohamed Sekkarie, John Sensenbrenner, Muhammad Shakeel, Michael Shanik, Sylvia Shaw, Stephen Smith, Richard Solomon, Amy Sprague, Leslie Spry, Pusadee Suchinda, Senan Sultan, Prasanth Surampudi, Sherry Sussman, Anjanette Tan, Antonio Terrelonge, Michael Thompson, Fernando Trespalacios, Bruce Trippe, Pilar Trueba, Marcel Twahirwa, John Updegrove, Peter Van Buren, Mark Vannorsdall, Freemu Varghese, Pedro Velasquez-Mieyer, Sailaja Ventrapragada, Goga Vukotic, Khurram Wadud, Mark Warren, Henry Watson, Ronald Watts, Daniel Weiner, James Welker, Jean Welsh, Shelley Williams, and Michelle Zaniewski-Singh
Subjects: age, diabetes, Nephrology, kidney outcomes, sex, Diabetic kidney disease, canagliflozin, cardiovascular outcomes, chronic kidney disease, sodium/glucose cotransporter 2 inhibitors
Abstract: Rationale & Objective: It is unclear whether the effect of canagliflozin on adverse kidney and cardiovascular events in those with diabetic kidney disease varies by age and sex. We assessed the effects of canagliflozin among age group categories and between sexes in the Canagliflozin and Renal Endpoints in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE) study.Study Design: Secondary analysis of a randomized controlled trial.Setting & Participants: Participants in the CREDENCE trial.Intervention: Participants were randomly assigned to receive canagliflozin 100 mg/d or placebo.Outcomes: Primary composite outcome of kidney failure, doubling of serum creatinine concentration, or death due to kidney or cardiovascular disease. Prespecified secondary and safety outcomes were also analyzed. Outcomes were evaluated by age at baseline (Results: The mean age of the cohort was 63.0 ± 9.2 years, and 34% were female. Older age and female sex were independently associated with a lower risk of the composite of adverse kidney outcomes. There was no evidence that the effect of canagliflozin on the primary outcome (a composite of kidney failure, a doubling of serum creatinine concentration, or death from kidney or cardiovascular causes) differed between age groups (HRs, 0.67 [95% CI, 0.52-0.87], 0.63 [0.48-0.82], and 0.89 [0.61-1.29] for ages Limitations: This was a post hoc analysis with multiple comparisons.Conclusions: Canagliflozin consistently reduced the relative risk of kidney events in people with diabetic kidney disease in both sexes and across age subgroups. As a result of greater background risk, the absolute reduction in adverse kidney outcomes was greater in younger participants.Funding: This post hoc analysis of the CREDENCE trial was not funded. The CREDENCE study was sponsored by Janssen Research and Development and was conducted collaboratively by the sponsor, an academic-led steering committee, and an academic research organization, George Clinical.Trial Registration: The original CREDENCE trial was registered at ClinicalTrials.gov with study number NCT02065791.
Published: 2023

62. Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension

Author: Tanika N, Kelly, Xiao, Sun, Karen Y, He, Michael R, Brown, Sarah A Gagliano, Taliun, Jacklyn N, Hellwege, Marguerite R, Irvin, Xuenan, Mi, Jennifer A, Brody, Nora, Franceschini, Xiuqing, Guo, Shih-Jen, Hwang, Paul S, de Vries, Yan, Gao, Arden, Moscati, Girish N, Nadkarni, Lisa R, Yanek, Tali, Elfassy, Jennifer A, Smith, Ren-Hua, Chung, Amber L, Beitelshees, Amit, Patki, Stella, Aslibekyan, Brandon M, Blobner, Juan M, Peralta, Themistocles L, Assimes, Walter R, Palmas, Chunyu, Liu, Adam P, Bress, Zhijie, Huang, Lewis C, Becker, Chii-Min, Hwa, Jeffrey R, O'Connell, Jenna C, Carlson, Helen R, Warren, Sayantan, Das, Ayush, Giri, Lisa W, Martin, W, Craig Johnson, Ervin R, Fox, Erwin P, Bottinger, Alexander C, Razavi, Dhananjay, Vaidya, Lee-Ming, Chuang, Yen-Pei C, Chang, Take, Naseri, Deepti, Jain, Hyun Min, Kang, Adriana M, Hung, Vinodh, Srinivasasainagendra, Beverly M, Snively, Dongfeng, Gu, May E, Montasser, Muagututi'a Sefuiva, Reupena, Benjamin D, Heavner, Jonathon, LeFaive, James E, Hixson, Kenneth M, Rice, Fei Fei, Wang, Jonas B, Nielsen, Jianfeng, Huang, Alyna T, Khan, Wei, Zhou, Jovia L, Nierenberg, Cathy C, Laurie, Nicole D, Armstrong, Mengyao, Shi, Yang, Pan, Adrienne M, Stilp, Leslie, Emery, Quenna, Wong, Nicola L, Hawley, Ryan L, Minster, Joanne E, Curran, Patricia B, Munroe, Daniel E, Weeks, Kari E, North, Russell P, Tracy, Eimear E, Kenny, Daichi, Shimbo, Aravinda, Chakravarti, Stephen S, Rich, Alex P, Reiner, John, Blangero, Susan, Redline, Braxton D, Mitchell, Dabeeru C, Rao, Yii-Der, Ida Chen, Sharon L R, Kardia, Robert C, Kaplan, Rasika A, Mathias, Jiang, He, Bruce M, Psaty, Myriam, Fornage, Ruth J F, Loos, Adolfo, Correa, Eric, Boerwinkle, Jerome I, Rotter, Charles, Kooperberg, Todd L, Edwards, Gonçalo R, Abecasis, Xiaofeng, Zhu, Daniel, Levy, Donna K, Arnett, and Alanna C, Morrison
Subjects: Hypertension, Internal Medicine, Humans, Blood Pressure, Genomics, Precision Medicine, Polymorphism, Single Nucleotide, Genome-Wide Association Study
Abstract: Background: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure. Methods: We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants. Results: Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings ( P -8 ). Among them, a rare intergenic variant at novel locus, LOC100506274 , was associated with lower systolic blood pressure in stage-1 (beta [SE]=−32.6 [6.0]; P =4.99×10 -8 ) but not stage-2 analysis ( P =0.11). Furthermore, a novel common variant at the known INSR locus was suggestively associated with diastolic blood pressure in stage-1 (beta [SE]=−0.36 [0.07]; P =4.18×10 -7 ) and attained genome-wide significance in stage-2 (beta [SE]=−0.29 [0.03]; P =7.28×10 -23 ). Nineteen additional signals suggestively associated with blood pressure in meta-analysis of single and aggregate rare variant findings ( P -6 and P -4 , respectively). Discussion: We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.
Published: 2023

63. Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing

Author: Fang Chen, Xingyan Wang, Seon-Kyeong Jang, Bryan C. Quach, J. Dylan Weissenkampen, Chachrit Khunsriraksakul, Lina Yang, Renan Sauteraud, Christine M. Albert, Nicholette D. D. Allred, Donna K. Arnett, Allison E. Ashley-Koch, Kathleen C. Barnes, R. Graham Barr, Diane M. Becker, Lawrence F. Bielak, Joshua C. Bis, John Blangero, Meher Preethi Boorgula, Daniel I. Chasman, Sameer Chavan, Yii-Der I. Chen, Lee-Ming Chuang, Adolfo Correa, Joanne E. Curran, Sean P. David, Lisa de las Fuentes, Ranjan Deka, Ravindranath Duggirala, Jessica D. Faul, Melanie E. Garrett, Sina A. Gharib, Xiuqing Guo, Michael E. Hall, Nicola L. Hawley, Jiang He, Brian D. Hobbs, John E. Hokanson, Chao A. Hsiung, Shih-Jen Hwang, Thomas M. Hyde, Marguerite R. Irvin, Andrew E. Jaffe, Eric O. Johnson, Robert Kaplan, Sharon L. R. Kardia, Joel D. Kaufman, Tanika N. Kelly, Joel E. Kleinman, Charles Kooperberg, I-Te Lee, Daniel Levy, Sharon M. Lutz, Ani W. Manichaikul, Lisa W. Martin, Olivia Marx, Stephen T. McGarvey, Ryan L. Minster, Matthew Moll, Karine A. Moussa, Take Naseri, Kari E. North, Elizabeth C. Oelsner, Juan M. Peralta, Patricia A. Peyser, Bruce M. Psaty, Nicholas Rafaels, Laura M. Raffield, Muagututi’a Sefuiva Reupena, Stephen S. Rich, Jerome I. Rotter, David A. Schwartz, Aladdin H. Shadyab, Wayne H-H. Sheu, Mario Sims, Jennifer A. Smith, Xiao Sun, Kent D. Taylor, Marilyn J. Telen, Harold Watson, Daniel E. Weeks, David R. Weir, Lisa R. Yanek, Kendra A. Young, Kristin L. Young, Wei Zhao, Dana B. Hancock, Bibo Jiang, Scott Vrieze, and Dajiang J. Liu
Subjects: Tobacco Smoke and Health, Human Genome, Drug Repositioning, Single Nucleotide, Biological Sciences, Medical and Health Sciences, Brain Disorders, Tobacco Use, Substance Misuse, Good Health and Well Being, Tobacco, Genetics, Humans, Genetic Predisposition to Disease, Polymorphism, Transcriptome, Drug Abuse (NIDA only), Biology, Genome-Wide Association Study, Developmental Biology
Abstract: Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods. When applied to tobacco use phenotypes, TESLA identified 273 new genes, up to 55% more compared with alternative TWAS methods. These hits and subsequent fine mapping using TESLA point to target genes with biological relevance. In silico drug-repurposing analyses highlight several drugs with known efficacy, including dextromethorphan and galantamine, and new drugs such as muscle relaxants that may be repurposed for treating nicotine addiction.
Published: 2023

64. Supplementary Table 1 from Serum Vascular Adhesion Protein-1 Level Predicts Risk of Incident Cancers in Subjects with Type II Diabetes

Author: Lee-Ming Chuang, Ching-Chi Chu, Chi-Ming Lin, Jung-Nan Wei, Tien-Jyun Chang, Yi-Der Jiang, Hung-Yuan Li, and Tse-Ya Yu
Abstract: PDF - 80K, Baseline characteristics stratified by the presence of CKD in people with type 2 diabetes.
Published: 2023

65. Supplementary Figure 1 from Serum Vascular Adhesion Protein-1 Level Predicts Risk of Incident Cancers in Subjects with Type II Diabetes

Author: Lee-Ming Chuang, Ching-Chi Chu, Chi-Ming Lin, Jung-Nan Wei, Tien-Jyun Chang, Yi-Der Jiang, Hung-Yuan Li, and Tse-Ya Yu
Abstract: PDF - 78K, Cumulative incidence function (CIF) of cancer among subgroups (A) stratified by tertile of serum VAP-1 (B) stratified by the presence of chronic kidney disease.
Published: 2023

66. Data from Serum Vascular Adhesion Protein-1 Level Predicts Risk of Incident Cancers in Subjects with Type II Diabetes

Author: Lee-Ming Chuang, Ching-Chi Chu, Chi-Ming Lin, Jung-Nan Wei, Tien-Jyun Chang, Yi-Der Jiang, Hung-Yuan Li, and Tse-Ya Yu
Abstract: Background: Serum vascular adhesion protein-1 (VAP-1) predicts cancer-related mortality in diabetic subjects. However, whether serum VAP-1 predicts cancer incidence or cancer progression remains unclear. We conducted a cohort study to investigate whether serum VAP-1 and related clinical variables predict incident cancers in type II diabetic subjects.Methods: From 1996 to 2003, we enrolled 568 type II diabetic subjects who were free of cancer at baseline. Serum VAP-1 at enrollment was measured by time-resolved immunofluorometric assay. Chronic kidney disease (CKD) was defined as estimated glomerular filtration rate 2. The subjects were followed until first occurrence of cancer or until December 31, 2011.Results: During a mean follow-up of 11.3 years, 71 subjects developed incident cancers. The HRs for incident cancers in subjects with highest tertile of serum VAP-1 and in subjects with CKD were 2.95 [95% confidence interval (CI), 1.31–6.63; P = 0.009] and 2.29 (95% CI, 1.18–4.44; P = 0.015), respectively, after multivariate adjustment. There was an interaction between serum VAP-1 and CKD on the risk of incident cancers (P = 0.01 for log-transformed VAP-1 × CKD). The relationship among serum VAP-1, CKD, and incident cancers was similar if death was considered in the competing risk models or if subjects with shorter follow-up period were excluded.Conclusions: Higher serum VAP-1 and CKD can independently predict future development of cancers in type II diabetic subjects.Impact: Physicians should be aware of the early signs of cancer in diabetic individuals with elevated VAP-1 or renal dysfunction. More aggressive treatment strategies might be considered. Cancer Epidemiol Biomarkers Prev; 23(7); 1366–73. ©2014 AACR.
Published: 2023

67. Supplementary Table 2 from Serum Vascular Adhesion Protein-1 Level Predicts Risk of Incident Cancers in Subjects with Type II Diabetes

Author: Lee-Ming Chuang, Ching-Chi Chu, Chi-Ming Lin, Jung-Nan Wei, Tien-Jyun Chang, Yi-Der Jiang, Hung-Yuan Li, and Tse-Ya Yu
Abstract: PDF - 64K, HRs (95% CI) for incident cancers excluding subjects with shorter follow-up time.
Published: 2023

68. Whole Genome Sequence Analysis of the Plasma Proteome in Black Adults Provides Novel Insights Into Cardiovascular Disease

Author: Daniel H. Katz, Usman A. Tahir, Alexander G. Bick, Akhil Pampana, Debby Ngo, Mark D. Benson, Zhi Yu, Jeremy M. Robbins, Zsu-Zsu Chen, Daniel E. Cruz, Shuliang Deng, Laurie Farrell, Sumita Sinha, Alec A. Schmaier, Dongxiao Shen, Yan Gao, Michael E. Hall, Adolfo Correa, Russell P. Tracy, Peter Durda, Kent D. Taylor, Yongmei Liu, W. Craig Johnson, Xiuqing Guo, Jie Yao, Yii-Der Ida Chen, Ani W. Manichaikul, Deepti Jain, Claude Bouchard, Mark A. Sarzynski, Stephen S. Rich, Jerome I. Rotter, Thomas J. Wang, James G. Wilson, Pradeep Natarajan, Robert E. Gerszten, Namiko Abe, Gonçalo Abecasis, Francois Aguet, Christine Albert, Laura Almasy, Alvaro Alonso, Seth Ament, Peter Anderson, Pramod Anugu, Deborah Applebaum-Bowden, Kristin Ardlie, Dan Arking, Donna K. Arnett, Allison Ashley-Koch, Stella Aslibekyan, Tim Assimes, Paul Auer, Dimitrios Avramopoulos, Najib Ayas, Adithya Balasubramanian, John Barnard, Kathleen Barnes, R. Graham Barr, Emily Barron-Casella, Lucas Barwick, Terri Beaty, Gerald Beck, Diane Becker, Lewis Becker, Rebecca Beer, Amber Beitelshees, Emelia Benjamin, Takis Benos, Marcos Bezerra, Larry Bielak, Joshua Bis, Thomas Blackwell, John Blangero, Eric Boerwinkle, Donald W. Bowden, Russell Bowler, Jennifer Brody, Ulrich Broeckel, Jai Broome, Deborah Brown, Karen Bunting, Esteban Burchard, Carlos Bustamante, Erin Buth, Brian Cade, Jonathan Cardwell, Vincent Carey, Julie Carrier, April Carson, Cara Carty, Richard Casaburi, Juan P. Casas Romero, James Casella, Peter Castaldi, Mark Chaffin, Christy Chang, Yi-Cheng Chang, Daniel Chasman, Sameer Chavan, Bo-Juen Chen, Wei-Min Chen, Michael Cho, Seung Hoan Choi, Lee-Ming Chuang, Mina Chung, Ren-Hua Chung, Clary Clish, Suzy Comhair, Matthew Conomos, Elaine Cornell, Carolyn Crandall, James Crapo, L. Adrienne Cupples, Joanne Curran, Jeffrey Curtis, Brian Custer, Coleen Damcott, Dawood Darbar, Sean David, Colleen Davis, Michelle Daya, Mariza de Andrade, Lisa de las Fuentes, Paul de Vries, Michael DeBaun, Ranjan Deka, Dawn DeMeo, Scott Devine, Huyen Dinh, Harsha Doddapaneni, Qing Duan, Shannon Dugan-Perez, Ravi Duggirala, Jon Peter Durda, Susan K. Dutcher, Charles Eaton, Lynette Ekunwe, Adel El Boueiz, Patrick Ellinor, Leslie Emery, Serpil Erzurum, Charles Farber, Jesse Farek, Tasha Fingerlin, Matthew Flickinger, Myriam Fornage, Nora Franceschini, Chris Frazar, Mao Fu, Stephanie M. Fullerton, Lucinda Fulton, Stacey Gabriel, Weiniu Gan, Shanshan Gao, Margery Gass, Heather Geiger, Bruce Gelb, Mark Geraci, Soren Germer, Robert Gerszten, Auyon Ghosh, Richard Gibbs, Chris Gignoux, Mark Gladwin, David Glahn, Stephanie Gogarten, Da-Wei Gong, Harald Goring, Sharon Graw, Kathryn J. Gray, Daniel Grine, Colin Gross, C. Charles Gu, Yue Guan, Namrata Gupta, David M. Haas, Jeff Haessler, Michael Hall, Yi Han, Patrick Hanly, Daniel Harris, Nicola L. Hawley, Jiang He, Ben Heavner, Susan Heckbert, Ryan Hernandez, David Herrington, Craig Hersh, Bertha Hidalgo, James Hixson, Brian Hobbs, John Hokanson, Elliott Hong, Karin Hoth, Chao (Agnes) Hsiung, Jianhong Hu, Yi-Jen Hung, Haley Huston, Chii Min Hwu, Marguerite Ryan Irvin, Rebecca Jackson, Cashell Jaquish, Jill Johnsen, Andrew Johnson, Craig Johnson, Rich Johnston, Kimberly Jones, Hyun Min Kang, Robert Kaplan, Sharon Kardia, Shannon Kelly, Eimear Kenny, Michael Kessler, Alyna Khan, Ziad Khan, Wonji Kim, John Kimoff, Greg Kinney, Barbara Konkle, Charles Kooperberg, Holly Kramer, Christoph Lange, Ethan Lange, Leslie Lange, Cathy Laurie, Cecelia Laurie, Meryl LeBoff, Jiwon Lee, Sandra Lee, Wen-Jane Lee, Jonathon LeFaive, David Levine, Dan Levy, Joshua Lewis, Xiaohui Li, Yun Li, Henry Lin, Honghuang Lin, Xihong Lin, Simin Liu, Yu Liu, Ruth J.F. Loos, Steven Lubitz, Kathryn Lunetta, James Luo, Ulysses Magalang, Michael Mahaney, Barry Make, Ani Manichaikul, Alisa Manning, JoAnn Manson, Lisa Martin, Melissa Marton, Susan Mathai, Rasika Mathias, Susanne May, Patrick McArdle, Merry-Lynn McDonald, Sean McFarland, Stephen McGarvey, Daniel McGoldrick, Caitlin McHugh, Becky McNeil, Hao Mei, James Meigs, Vipin Menon, Luisa Mestroni, Ginger Metcalf, Deborah A. Meyers, Emmanuel Mignot, Julie Mikulla, Nancy Min, Mollie Minear, Ryan L. Minster, Braxton D. Mitchell, Matt Moll, Zeineen Momin, May E. Montasser, Courtney Montgomery, Donna Muzny, Josyf C. Mychaleckyj, Girish Nadkarni, Rakhi Naik, Take Naseri, Sergei Nekhai, Sarah C. Nelson, Bonnie Neltner, Caitlin Nessner, Deborah Nickerson, Osuji Nkechinyere, Kari North, Jeff O’Connell, Tim O’Connor, Heather Ochs-Balcom, Geoffrey Okwuonu, Allan Pack, David T. Paik, Nicholette Palmer, James Pankow, George Papanicolaou, Cora Parker, Gina Peloso, Juan Manuel Peralta, Marco Perez, James Perry, Ulrike Peters, Patricia Peyser, Lawrence S. Phillips, Jacob Pleiness, Toni Pollin, Wendy Post, Julia Powers Becker, Meher Preethi Boorgula, Michael Preuss, Bruce Psaty, Pankaj Qasba, Dandi Qiao, Zhaohui Qin, Nicholas Rafaels, Laura Raffield, Mahitha Rajendran, Vasan S. Ramachandran, D.C. Rao, Laura Rasmussen-Torvik, Aakrosh Ratan, Susan Redline, Robert Reed, Catherine Reeves, Elizabeth Regan, Alex Reiner, Muagututi’a Sefuiva Reupena, Ken Rice, Stephen Rich, Rebecca Robillard, Nicolas Robine, Dan Roden, Carolina Roselli, Jerome Rotter, Ingo Ruczinski, Alexi Runnels, Pamela Russell, Sarah Ruuska, Kathleen Ryan, Ester Cerdeira Sabino, Danish Saleheen, Shabnam Salimi, Sejal Salvi, Steven Salzberg, Kevin Sandow, Vijay G. Sankaran, Jireh Santibanez, Karen Schwander, David Schwartz, Frank Sciurba, Christine Seidman, Jonathan Seidman, Frédéric Sériès, Vivien Sheehan, Stephanie L. Sherman, Amol Shetty, Aniket Shetty, Wayne Hui-Heng Sheu, M. Benjamin Shoemaker, Brian Silver, Edwin Silverman, Robert Skomro, Albert Vernon Smith, Jennifer Smith, Josh Smith, Nicholas Smith, Tanja Smith, Sylvia Smoller, Beverly Snively, Michael Snyder, Tamar Sofer, Nona Sotoodehnia, Adrienne M. Stilp, Garrett Storm, Elizabeth Streeten, Jessica Lasky Su, Yun Ju Sung, Jody Sylvia, Adam Szpiro, Daniel Taliun, Hua Tang, Margaret Taub, Matthew Taylor, Simeon Taylor, Marilyn Telen, Timothy A. Thornton, Machiko Threlkeld, Lesley Tinker, David Tirschwell, Sarah Tishkoff, Hemant Tiwari, Catherine Tong, Russell Tracy, Michael Tsai, Dhananjay Vaidya, David Van Den Berg, Peter VandeHaar, Scott Vrieze, Tarik Walker, Robert Wallace, Avram Walts, Fei Fei Wang, Heming Wang, Jiongming Wang, Karol Watson, Jennifer Watt, Daniel E. Weeks, Joshua Weinstock, Bruce Weir, Scott T. Weiss, Lu-Chen Weng, Jennifer Wessel, Cristen Willer, Kayleen Williams, L. Keoki Williams, Carla Wilson, James Wilson, Lara Winterkorn, Quenna Wong, Joseph Wu, Huichun Xu, Lisa Yanek, Ivana Yang, Ketian Yu, Seyedeh Maryam Zekavat, Yingze Zhang, Snow Xueyan Zhao, Wei Zhao, Xiaofeng Zhu, Michael Zody, and Sebastian Zoellner
Subjects: Adult, Male, Proteomics, Aging, Whole genome sequence analysis, Proteome, Clinical Sciences, Black People, Disease, Computational biology, race and ethnicity, Cardiorespiratory Medicine and Haematology, Cardiovascular, Article, proteomics, cardiovascular disease, Physiology (medical), Genetics, 2.1 Biological and endogenous factors, Humans, Medicine, Aetiology, Lung, Heart Disease - Coronary Heart Disease, and Blood Institute TOPMed (Trans-Omics for Precision Medicine) Consortium†, business.industry, Prevention, Human Genome, National Heart, Genomics, Blood proteins, Genetic architecture, Heart Disease, Good Health and Well Being, Cardiovascular System & Hematology, Cardiovascular Diseases, Public Health and Health Services, Female, Cardiology and Cardiovascular Medicine, business, Biotechnology, Genome-Wide Association Study
Abstract: Background: Plasma proteins are critical mediators of cardiovascular processes and are the targets of many drugs. Previous efforts to characterize the genetic architecture of the plasma proteome have been limited by a focus on individuals of European descent and leveraged genotyping arrays and imputation. Here we describe whole genome sequence analysis of the plasma proteome in individuals with greater African ancestry, increasing our power to identify novel genetic determinants. Methods: Proteomic profiling of 1301 proteins was performed in 1852 Black adults from the Jackson Heart Study using aptamer-based proteomics (SomaScan). Whole genome sequencing association analysis was ascertained for all variants with minor allele count ≥5. Results were validated using an alternative, antibody-based, proteomic platform (Olink) as well as replicated in the Multi-Ethnic Study of Atherosclerosis and the HERITAGE Family Study (Health, Risk Factors, Exercise Training and Genetics). Results: We identify 569 genetic associations between 479 proteins and 438 unique genetic regions at a Bonferroni-adjusted significance level of 3.8×10 -11 . These associations include 114 novel locus-protein relationships and an additional 217 novel sentinel variant-protein relationships. Novel cardiovascular findings include new protein associations at the APOE gene locus including ZAP70 (sentinel single nucleotide polymorphism [SNP] rs7412-T, β=0.61±0.05, P =3.27×10 -30 ) and MMP-3 (β=-0.60±0.05, P =1.67×10 -32 ), as well as a completely novel pleiotropic locus at the HPX gene, associated with 9 proteins. Further, the associations suggest new mechanisms of genetically mediated cardiovascular disease linked to African ancestry; we identify a novel association between variants linked to APOL1-associated chronic kidney and heart disease and the protein CKAP2 (rs73885319-G, β=0.34±0.04, P =1.34×10 -17 ) as well as an association between ATTR amyloidosis and RBP4 levels in community-dwelling individuals without heart failure. Conclusions: Taken together, these results provide evidence for the functional importance of variants in non-European populations, and suggest new biological mechanisms for ancestry-specific determinants of lipids, coagulation, and myocardial function.
Published: 2022

69. Different cutoffs of hypertension, risk of incident diabetes and progression of insulin resistance: A prospective cohort study

Author: Jung-Nan Wei, Chung-Yi Yang, Jou-Wei Lin, Yenh-Chen Hsein, Lee-Ming Chuang, Shyang-Rong Shih, Wan-Chen Wu, Hung-Yuan Li, Mao-Shin Lin, Chia-Hung Lin, Kang-Chih Fan, Cyue-Huei Hua, and Chi-Tai Fang
Subjects: Medicine (General), medicine.medical_specialty, Cutoffs, Hypertension risk, 03 medical and health sciences, R5-920, 0302 clinical medicine, Insulin resistance, Internal medicine, Diabetes mellitus, Diabetes Mellitus, medicine, Humans, Prospective Studies, Oral glucose tolerance, Risk factor, Prospective cohort study, business.industry, General Medicine, Guideline, medicine.disease, 030220 oncology & carcinogenesis, Hypertension, 030211 gastroenterology & hepatology, Insulin Resistance, business
Abstract: Background/Purpose: Hypertension is a risk factor of incident diabetes. In 2017, the ACC/AHA updated the definition of hypertension to above 130/80 mmHg, while the 2018 ESC/ESH guideline and the JNC7 criteria remained the cutoff of 140/90 mmHg. This study was aimed to investigate how different cutoffs of hypertension affect the association of hypertension to incident diabetes and the progression of insulin resistance. Methods: A total of 1177 subjects without diabetes at baseline were followed for 4.5 years. Diabetes was diagnosed by the results of oral glucose tolerance tests and hemoglobin A1c, or if anti-diabetic agents were used. Results: Hypertension by both criteria was associated with incident diabetes. Change of HOMA2-IR every 5 years (ΔHOMA2-IR/5 yr) was higher in subjects with hypertension than those without (adjusted p = 0.044). Subjects with treated hypertension had the highest risk of diabetes (HR 2.98, p
Published: 2022

70. Muscle Microcirculatory Responses to Incremental Exercises Are Correlated with Peak Oxygen Uptake in Individuals With and Without Type 2 Diabetes Mellitus

Author: Yan-Jhen Lu, Ssu-Yuan Chen, Ying-Chuen Lai, Pakaratee Chaiyawat, Yuan-Hung Chao, Lee-Ming Chuang, Tiffany Ting-Fang Shih, and Hsing-Kuo Wang
Subjects: Oxygen, Oxygen Consumption, Diabetes Mellitus, Type 2, Endocrinology, Diabetes and Metabolism, Microcirculation, Muscles, Internal Medicine, Exercise Test, Humans, Middle Aged, Muscle, Skeletal
Published: 2022

71. Multi-omics analysis identifies CpGs near G6PC2 mediating the effects of genetic variants on fasting glucose

Author: Thomas Quertermous, I-Shou Chang, I-Te Lee, Yen-Feng Chiu, Chao A. Hsiung, Yii-Der Ida Chen, Chii-Min Hwu, Wen Chang Wang, Yi-Jen Hung, Jerome I. Rotter, Ren-Hua Chung, and Lee-Ming Chuang
Subjects: 0301 basic medicine, Genetics, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, Genome-wide association study, Single-nucleotide polymorphism, Type 2 diabetes, Biology, Quantitative trait locus, medicine.disease, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Insulin resistance, DNA methylation, Internal Medicine, medicine, SNP, Genetic association
Abstract: An elevated fasting glucose level in non-diabetic individuals is a key predictor of type 2 diabetes. Genome-wide association studies (GWAS) have identified hundreds of SNPs for fasting glucose but most of their functional roles in influencing the trait are unclear. This study aimed to identify the mediation effects of DNA methylation between SNPs identified as significant from GWAS and fasting glucose using Mendelian randomisation (MR) analyses. We first performed GWAS analyses for three cohorts (Taiwan Biobank with 18,122 individuals, the Healthy Aging Longitudinal Study in Taiwan with 1989 individuals and the Stanford Asia-Pacific Program for Hypertension and Insulin Resistance with 416 individuals) with individuals of Han Chinese ancestry in Taiwan, followed by a meta-analysis for combining the three GWAS analysis results to identify significant and independent SNPs for fasting glucose. We determined whether these SNPs were methylation quantitative trait loci (meQTLs) by testing their associations with DNA methylation levels at nearby CpG sites using a subsample of 1775 individuals from the Taiwan Biobank. The MR analysis was performed to identify DNA methylation with causal effects on fasting glucose using meQTLs as instrumental variables based on the 1775 individuals. We also used a two-sample MR strategy to perform replication analysis for CpG sites with significant MR effects based on literature data. Our meta-analysis identified 18 significant (p
Published: 2021

72. Commentary on risk factors for first and subsequent cardiovascular disease events in type 1 diabetes: The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications study

Author: Lee-Ming Chuang, Chun‐Hsien Lin, and Chia-Hsuin Chang
Subjects: Type 1 diabetes, medicine.medical_specialty, business.industry, Endocrinology, Diabetes and Metabolism, Psychological intervention, General Medicine, Disease, Glycemic Control, RC648-665, Diabetes Control and Complications Trial, medicine.disease, Diseases of the endocrine glands. Clinical endocrinology, Diabetes Mellitus, Type 1, Cardiovascular Diseases, Risk Factors, Diabetes mellitus, Commentaries, Epidemiology, Internal Medicine, Commentary, Medicine, Humans, business, Intensive care medicine
Published: 2020

73. Screening for diabetes in asymptomatic children: A simple and efficient method

Author: Fung-Chang Sung, Jung-Nan Wei, Chuan-Chi Chiang, Wan-Chen Wu, Lee-Ming Chuang, and Hung-Yuan Li
Subjects: Male, Pediatrics, medicine.medical_specialty, Urinalysis, Type 2 diabetes, Overweight, Asymptomatic, 03 medical and health sciences, 0302 clinical medicine, Diabetes mellitus, Prevalence, medicine, Screening method, Humans, Mass Screening, Blood test, Family history, Child, Children, lcsh:R5-920, medicine.diagnostic_test, business.industry, Diabetes, General Medicine, medicine.disease, Diabetes Mellitus, Type 2, 030220 oncology & carcinogenesis, Screening, Female, 030211 gastroenterology & hepatology, medicine.symptom, lcsh:Medicine (General), business
Abstract: Background/Purpose Type 2 diabetes has become an important cause of diabetes in children. Since most children with type 2 diabetes are asymptomatic, a screening method is needed. However, physicians are required in the screening methods recommended by professional associations. We aimed to develop a simple and efficient screening method for children with diabetes. Methods A nationwide survey was conducted, which included 2,270,496 seventh-grade students. Students with two abnormal results in sequential urinalyses were given a fasting blood test. Three screening methods were developed. Results Among the screening methods, method C is simple, and can be performed by parents, teachers, or school nurses. It suggests children with two abnormal results in sequential urinalyses and who are overweight or have a family history of diabetes receive blood tests. As a result, 0.10% of boys and 0.16% of girls were recommended to receive blood tests, and 7.0% of boys and 6.7% of girls receiving blood tests were diagnosed diabetes. On average, 15,002 boys and 9056 girls had to be screened to find one child with diabetes. The cost per 1000 children by method C was 2466.84 US dollars. Conclusion Urinalysis screening followed by evaluation of risk factors is a simple and efficient way to identify children with diabetes in schools.
Published: 2020

74. Serum Angiopoietin-like Protein 6, Risk of Type 2 Diabetes, and Response to Hyperglycemia: A Prospective Cohort Study

Author: Mao-Shin Lin, Chih-Yao Hsu, Hung-Tsung Wu, Lee-Ming Chuang, Tien-Jyun Chang, Hung-Yuan Li, Shyang-Rong Shih, Jung-Nan Wei, Shu-Huei Wang, I-Weng Yen, Chia-Hung Lin, and Kang-Chih Fan
Subjects: Adult, Male, 0301 basic medicine, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Clinical Biochemistry, Taiwan, 030209 endocrinology & metabolism, Type 2 diabetes, Biochemistry, Cohort Studies, Prediabetic State, Mice, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Risk Factors, Internal medicine, Diabetes mellitus, medicine, Animals, Humans, Glucose homeostasis, Angiopoietin-Like Protein 6, Prospective Studies, Prediabetes, Prospective cohort study, business.industry, Incidence, Insulin, Biochemistry (medical), Hep G2 Cells, Middle Aged, medicine.disease, Obesity, Mice, Inbred C57BL, Angiopoietin-like Proteins, 030104 developmental biology, Diabetes Mellitus, Type 2, Hyperglycemia, Female, Metabolic syndrome, business, Follow-Up Studies
Abstract: Context Angiopoietin-like protein 6 (ANGPTL6) is a hepatokine that improves insulin sensitivity in animals. However, serum ANGPTL6 concentration was found to be higher in human participants with diabetes or metabolic syndrome in cross-sectional studies, implying that ANGPTL6 may be induced to counteract hyperglycemia. Objective To investigate whether serum ANGPTL6 can predict incident diabetes and explore whether glucose or insulin can regulate ANGPTL6 expression and secretion. Design This cohort study included adults without diabetes at baseline who were followed every 2 years for incident diabetes. Serum ANGPTL6 concentrations were measured at baseline and during oral glucose tolerance tests (OGTTs). A hepatic cell line, HepG2, and diet-induced obesity mouse model were used to evaluate the response of ANGPTL6 expression and secretion to hyperglycemia and the metabolic syndrome. Results We recruited 1103 participants without diabetes at baseline. During the 4.22-year follow-up, 113 (10.2%) participants developed incident diabetes. Serum ANGPTL6 was negatively associated with the incidence of diabetes (adjusted hazard ratio, 0.77; P = 0.042). However, serum ANGPTL6 level was higher in participants with prediabetes (P = 0.018) and was elevated during OGTT. In HepG2 cells, treatment with glucose, but not insulin, induced ANGPTL6 expression. Hepatic ANGPTL6 expression and serum ANGPTL6 concentrations were significantly higher in mice fed with a high-fat diet than in those fed with a standard chow (both P < 0.05). Conclusion A high serum ANGPTL6 level is associated with a low incidence of diabetes in humans. ANGPTL6 is expressed and secreted in response to hyperglycemia to maintain glucose homeostasis.
Published: 2020

75. Whole Genome Sequencing Identifies CRISPLD2 as a Lung Function Gene in Children With Asthma

Author: Priyadarshini Kachroo, Julian Hecker, Bo L. Chawes, Tarunveer S. Ahluwalia, Michael H. Cho, Dandi Qiao, Rachel S. Kelly, Su H. Chu, Yamini V. Virkud, Mengna Huang, Kathleen C. Barnes, Esteban G. Burchard, Celeste Eng, Donglei Hu, Juan C. Celedón, Michelle Daya, Albert M. Levin, Hongsheng Gui, L. Keoki Williams, Erick Forno, Angel C.Y. Mak, Lydiana Avila, Manuel E. Soto-Quiros, Michelle M. Cloutier, Edna Acosta-Pérez, Glorisa Canino, Klaus Bønnelykke, Hans Bisgaard, Benjamin A. Raby, Christoph Lange, Scott T. Weiss, Jessica A. Lasky-Su, Namiko Abe, Goncalo Abecasis, Christine Albert, Nicholette (Nichole) Palmer Allred, Laura Almasy, Alvaro Alonso, Seth Ament, Peter Anderson, Pramod Anugu, Deborah Applebaum-Bowden, Dan Arking, Donna K. Arnett, Allison Ashley-Koch, Stella Aslibekyan, Tim Assimes, Paul Auer, Dimitrios Avramopoulos, John Barnard, Kathleen Barnes, R. Graham Barr, Emily Barron-Casella, Terri Beaty, Diane Becker, Lewis Becker, Rebecca Beer, Ferdouse Begum, Amber Beitelshees, Emelia Benjamin, Marcos Bezerra, Larry Bielak, Joshua Bis, Thomas Blackwell, John Blangero, Eric Boerwinkle, Ingrid Borecki, Russell Bowler, Jennifer Brody, Ulrich Broeckel, Jai Broome, Karen Bunting, Esteban Burchard, Jonathan Cardwell, Cara Carty, Richard Casaburi, James Casella, Mark Chaffin, Christy Chang, Daniel Chasman, Sameer Chavan, Bo-Juen Chen, Wei-Min Chen, Yii-Der Ida Chen, Seung Hoan Choi, Lee-Ming Chuang, Mina Chung, Elaine Cornell, Adolfo Correa, Carolyn Crandall, James Crapo, L. Adrienne Cupples, Joanne Curran, Jeffrey Curtis, Brian Custer, Coleen Damcott, Dawood Darbar, Sayantan Das, Sean David, Colleen Davis, Mariza de Andrade, Michael DeBaun, Ranjan Deka, Dawn DeMeo, Scott Devine, Ron Do, Qing Duan, Ravi Duggirala, Peter Durda, Susan Dutcher, Charles Eaton, Lynette Ekunwe, Patrick Ellinor, Leslie Emery, Charles Farber, Leanna Farnam, Tasha Fingerlin, Matthew Flickinger, Myriam Fornage, Nora Franceschini, Mao Fu, Stephanie M. Fullerton, Lucinda Fulton, Stacey Gabriel, Weiniu Gan, Yan Gao, Margery Gass, Bruce Gelb, Xiaoqi (Priscilla) Geng, Soren Germer, Chris Gignoux, Mark Gladwin, David Glahn, Stephanie Gogarten, Da-Wei Gong, Harald Goring, C. Charles Gu, Yue Guan, Xiuqing Guo, Jeff Haessler, Michael Hall, Daniel Harris, Nicola Hawley, Jiang He, Ben Heavner, Susan Heckbert, Ryan Hernandez, David Herrington, Craig Hersh, Bertha Hidalgo, James Hixson, John Hokanson, Kramer Holly, Elliott Hong, Karin Hoth, Chao (Agnes) Hsiung, Haley Huston, Chii Min Hwu, Marguerite Ryan Irvin, Rebecca Jackson, Deepti Jain, Cashell Jaquish, Min A. Jhun, Jill Johnsen, Andrew Johnson, Craig Johnson, Rich Johnston, Kimberly Jones, Hyun Min Kang, Robert Kaplan, Sharon Kardia, Sekar Kathiresan, Laura Kaufman, Shannon Kelly, Eimear Kenny, Michael Kessler, Alyna Khan, Greg Kinney, Barbara Konkle, Charles Kooperberg, Stephanie Krauter, Ethan Lange, Leslie Lange, Cathy Laurie, Cecelia Laurie, Meryl LeBoff, Seunggeun Shawn Lee, Wen-Jane Lee, Jonathon LeFaive, David Levine, Dan Levy, Joshua Lewis, Yun Li, Honghuang Lin, Keng Han Lin, Simin Liu, Yongmei Liu, Ruth Loos, Steven Lubitz, Kathryn Lunetta, James Luo, Michael Mahaney, Barry Make, Ani Manichaikul, JoAnn Manson, Lauren Margolin, Lisa Martin, Susan Mathai, Rasika Mathias, Patrick McArdle, Merry-Lynn McDonald, Sean McFarland, Stephen McGarvey, Hao Mei, Deborah A. Meyers, Julie Mikulla, Nancy Min, Mollie Minear, Ryan L. Minster, Braxton Mitchell, May E. Montasser, Solomon Musani, Stanford Mwasongwe, Josyf C. Mychaleckyj, Girish Nadkarni, Rakhi Naik, Pradeep Natarajan, Sergei Nekhai, Deborah Nickerson, Kari North, Jeff O'Connell, Tim O'Connor, Heather Ochs-Balcom, James Pankow, George Papanicolaou, Margaret Parker, Afshin Parsa, Sara Penchev, Juan Manuel Peralta, Marco Perez, James Perry, Ulrike Peters, Patricia Peyser, Lawrence S. Phillips, Sam Phillips, Toni Pollin, Wendy Post, Julia Powers Becker, Meher Preethi Boorgula, Michael Preuss, Dmitry Prokopenko, Bruce Psaty, Pankaj Qasba, Zhaohui Qin, Nicholas Rafaels, Laura Raffield, Vasan Ramachandran, D.C. Rao, Laura Rasmussen-Torvik, Aakrosh Ratan, Susan Redline, Robert Reed, Elizabeth Regan, Alex Reiner, Ken Rice, Stephen Rich, Dan Roden, Carolina Roselli, Jerome Rotter, Ingo Ruczinski, Pamela Russell, Sarah Ruuska, Kathleen Ryan, Phuwanat Sakornsakolpat, Shabnam Salimi, Steven Salzberg, Kevin Sandow, Vijay Sankaran, Christopher Scheller, Ellen Schmidt, Karen Schwander, David Schwartz, Frank Sciurba, Christine Seidman, Jonathan Seidman, Vivien Sheehan, Amol Shetty, Aniket Shetty, Wayne Hui-Heng Sheu, M. Benjamin Shoemaker, Brian Silver, Edwin Silverman, Jennifer Smith, Josh Smith, Nicholas Smith, Tanja Smith, Sylvia Smoller, Beverly Snively, Tamar Sofer, Nona Sotoodehnia, Adrienne Stilp, Elizabeth Streeten, Yun Ju Sung, Jessica Su-Lasky, Jody Sylvia, Adam Szpiro, Carole Sztalryd, Daniel Taliun, Hua Tang, Margaret Taub, Kent Taylor, Simeon Taylor, Marilyn Telen, Timothy A. Thornton, Lesley Tinker, David Tirschwell, Hemant Tiwari, Russell Tracy, Michael Tsai, Dhananjay Vaidya, Peter VandeHaar, Scott Vrieze, Tarik Walker, Robert Wallace, Avram Walts, Emily Wan, Fei Fei Wang, Karol Watson, Daniel E. Weeks, Bruce Weir, Scott Weiss, Lu-Chen Weng, Cristen Willer, Kayleen Williams, Carla Wilson, James Wilson, Quenna Wong, Huichun Xu, Lisa Yanek, Ivana Yang, Rongze Yang, Norann Zaghloul, Maryam Zekavat, Yingze Zhang, Snow Xueyan Zhao, Wei Zhao, Xiuwen Zheng, Degui Zhi, Xiang Zhou, Michael Zody, and Sebastian Zoellner
Subjects: Adult, Costa Rica, Male, Pulmonary and Respiratory Medicine, Adolescent, Vital Capacity, Single-nucleotide polymorphism, Pedigree chart, Critical Care and Intensive Care Medicine, Young Adult, 03 medical and health sciences, FEV1/FVC ratio, 0302 clinical medicine, Polymorphism (computer science), Forced Expiratory Volume, Humans, Medicine, SNP, 030212 general & internal medicine, Child, Asthma, Whole Genome Sequencing, business.industry, Middle Aged, respiratory system, medicine.disease, respiratory tract diseases, Minor allele frequency, 030228 respiratory system, Genetic epidemiology, Child, Preschool, Interferon Regulatory Factors, Immunology, Respiratory Physiological Phenomena, Female, Cardiology and Cardiovascular Medicine, business, Cell Adhesion Molecules
Abstract: BACKGROUND: Asthma is a common respiratory disorder with a highly heterogeneous nature that remains poorly understood. The objective was to use whole genome sequencing (WGS) data to identify regions of common genetic variation contributing to lung function in individuals with a diagnosis of asthma. METHODS: WGS data were generated for 1,053 individuals from trios and extended pedigrees participating in the family-based Genetic Epidemiology of Asthma in Costa Rica study. Asthma affection status was defined through a physician’s diagnosis of asthma, and most participants with asthma also had airway hyperresponsiveness (AHR) to methacholine. Family-based association tests for single variants were performed to assess the associations with lung function phenotypes. RESULTS: A genome-wide significant association was identified between baseline FEV(1)/FVC ratio and a single-nucleotide polymorphism in the top hit cysteine-rich secretory protein LCCL domain-containing 2 (CRISPLD2) (rs12051168; P = 3.6 × 10(−8) in the unadjusted model) that retained suggestive significance in the covariate-adjusted model (P = 5.6 × 10(−6)). Rs12051168 was also nominally associated with other related phenotypes: baseline FEV(1) (P = 3.3 × 10(−3)), postbronchodilator (PB) FEV(1) (7.3 × 10(−3)), and PB FEV(1)/FVC ratio (P = 2.7 × 10(−3)). The identified baseline FEV(1)/FVC ratio and rs12051168 association was meta-analyzed and replicated in three independent cohorts in which most participants with asthma also had confirmed AHR (combined weighted z-score P = .015) but not in cohorts without information about AHR. CONCLUSIONS: These findings suggest that using specific asthma characteristics, such as AHR, can help identify more genetically homogeneous asthma subgroups with genotype-phenotype associations that may not be observed in all children with asthma. CRISPLD2 also may be important for baseline lung function in individuals with asthma who also may have AHR.
Published: 2019

76. Activation of Aldehyde Dehydrogenase 2 (ALDH2) Ameliorates Glucolipotoxicity of the Pancreatic Beta Cells

Author: Lee-Ming Chuang, Shiau-Mei Chen, and Tien-Jyun Chang
Published: 2021

77. The epidemiologic investigation and risk factor analysis of dibetic kidney disease among type 1 DM patients in Taiwan

Author: Lee-Ming Chuang, Yen-Bo Lin, and Tien-Jyun Chang
Published: 2021

78. Hemoglobin glycation index predicts progression of chronic kidney disease in patients with type 2 diabetes

Author: Lee-Ming Chuang, Yi-Cheng Chang, Yi-Der Jiang, Tien-Jyun Chang, Ying-Chuen Lai, and CHIH-HUNG LIN
Published: 2021

79. Cluster Analysis of Cardiovascular Phenotypes in Patients With Type 2 Diabetes and Established Atherosclerotic Cardiovascular Disease: A Potential Approach to Precision Medicine

Author: Darren K. McGuire, Shaun G. Goodman, Robert G. Josse, Abhinav Sharma, Cynthia M. Westerhout, Jacob A. Udell, Keith D. Kaufman, Eric D. Peterson, Lee-Ming Chuang, John B. Buse, Rury R. Holman, Giuseppe Ambrosio, Renato D. Lopes, Justin A. Ezekowitz, Paul W. Armstrong, Jennifer B. Green, and Yinggan Zheng
Subjects: Male, medicine.medical_specialty, Cardiovascular and Metabolic Risk, Endocrinology, Diabetes and Metabolism, Type 2 diabetes, Coronary artery disease, Risk Factors, Diabetes mellitus, Internal medicine, Internal Medicine, medicine, Cluster Analysis, Humans, Myocardial infarction, Precision Medicine, Advanced and Specialized Nursing, Unstable angina, Proportional hazards model, business.industry, Hazard ratio, medicine.disease, Phenotype, Diabetes Mellitus, Type 2, Cardiovascular Diseases, Sitagliptin, Female, business, medicine.drug
Abstract: OBJECTIVE Phenotypic heterogeneity among patients with type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD) is ill defined. We used cluster analysis machine-learning algorithms to identify phenotypes among trial participants with T2DM and ASCVD. RESEARCH DESIGN AND METHODS We used data from the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS) study (n = 14,671), a cardiovascular outcome safety trial comparing sitagliptin with placebo in patients with T2DM and ASCVD (median follow-up 3.0 years). Cluster analysis using 40 baseline variables was conducted, with associations between clusters and the primary composite outcome (cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina) assessed by Cox proportional hazards models. We replicated the results using the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) trial. RESULTS Four distinct phenotypes were identified: cluster I included Caucasian men with a high prevalence of coronary artery disease; cluster II included Asian patients with a low BMI; cluster III included women with noncoronary ASCVD disease; and cluster IV included patients with heart failure and kidney dysfunction. The primary outcome occurred, respectively, in 11.6%, 8.6%, 10.3%, and 16.8% of patients in clusters I to IV. The crude difference in cardiovascular risk for the highest versus lowest risk cluster (cluster IV vs. II) was statistically significant (hazard ratio 2.74 [95% CI 2.29–3.29]). Similar phenotypes and outcomes were identified in EXSCEL. CONCLUSIONS In patients with T2DM and ASCVD, cluster analysis identified four clinically distinct groups. Further cardiovascular phenotyping is warranted to inform patient care and optimize clinical trial designs.
Published: 2021

80. Whole genome sequence analysis of blood lipid levels in >66,000 individuals

Author: Akhil Pampana, Xiuqing Guo, Tanika N. Kelly, Yii-Der Ida Chen, Charles Kooperberg, Chii-Min Hwu, Mariaelisa Graff, Jiang He, Xihao Li, Patrick T. Ellinor, Joshua C. Bis, Kari E. North, Nancy L. Heard-Costa, Joseph Park, Stacey Gabriel, Joanne E. Curran, Braxton D. Mitchell, Lee-Ming Chuang, Ravindranath Duggirala, Jerome I. Rotter, Robert C. Kaplan, Soren Germer, Pradeep Natarajan, Take Naseri, Xihong Lin, Susan K. Dutcher, Stella Aslibekyan, Ryan W. Kim, Daniel J. Rader, Richard A. Gibbs, Myriam Fornage, Eric Boerwinkle, Bertha Hidalgo, Muagututi’a S. Reupena, Deborah A. Nickerson, Zhe Wang, Donald W. Bowden, Yuxuan Wang, Alanna C. Morrison, Stephen S. Rich, David Zhang, Gina M. Peloso, Xiaohui Li, Martin Lisa, Lisa de las Fuentes, Zilin Li, Alexander P. Reiner, Jennifer A. Brody, Lisa R. Yanek, Marguerite R. Irvin, Bruce M. Psaty, Bao Wei, Preuss Michael, Leslie A. Lange, John T. Wilkins, Russell P. Tracy, Paul S. de Vries, Wei Zhao, Rasika A. Mathias, Susan Redline, Xiao Sun, Kent D. Taylor, Barry I. Freedman, Ani Manichaikul, Donna K. Arnett, Nicholette D. Palmer, Cristen J. Willer, Steven A. Lubitz, Sharon L.R. Kardia, L. Adrienne Cupples, Ramachandran S. Vasan, May E. Montasser, Ren-Hua Chung, Margaret Sunitha Selvaraj, Jeffrey R. O'Connell, Ruth J. F. Loos, Jennifer A. Smith, John Blangero, Brian G. Kral, Karine A. Viaud Martinez, Stephen T. McGarvey, Adolfo Correa, Michael Y. Tsai, Patricia A. Peyser, and Brian E. Cade
Subjects: Genetics, Whole genome sequencing, Genome Scan, Blood lipids, Biology, medicine.disease, Genome, symbols.namesake, Mendelian inheritance, symbols, medicine, lipids (amino acids, peptides, and proteins), Allele, Gene, Dyslipidemia
Abstract: Plasma lipids are heritable modifiable causal factors for coronary artery disease, the leading cause of death globally. Despite the well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing, partly due to limited sample sizes, ancestral diversity, and interpretation of potential clinical significance. Increasingly larger whole genome sequence datasets with plasma lipids coupled with methodologic advances enable us to more fully catalog the allelic spectrum for lipids. Here, among 66,329 ancestrally diverse (56% non-European ancestry) participants, we associate 428M variants from deep-coverage whole genome sequences with plasma lipids. Approximately 400M of these variants were not studied in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with plasma lipids through analysis of common and rare coding variants. We additionally discover several significantly associated rare non-coding variants largely at Mendelian lipid genes. Notably, we detect rareLDLRintronic variants associated with markedly increased LDL-C, similar to rareLDLRexonic variants. In conclusion, we conducted a systematic whole genome scan for plasma lipids expanding the alleles linked to lipids for multiple ancestries and characterize a clinically-relevant rare non-coding variant model for lipids.
Published: 2021

81. The impact of glucose tolerance state on seropositivity rate after hepatitis B vaccination

Author: Maria Mercedes Chang Villacreses, Rudruidee Karnchanasorn, Horng-Yih Ou, Raynald Samoa, Lee-Ming Chuang, and Ken C. Chiu
Subjects: Multidisciplinary, Nutrition Surveys
Abstract: Immunization is recommended for people with diabetes mellitus (DM), but little information is available on their seropositivity rates. To determine the impact of glucose tolerance state on seropositivity rate after hepatitis B vaccination, we included 7645 adult participants from the National Health and Nutrition Examination Survey 2005–2016 who reported three doses of hepatitis B vaccine and were seropositive for anti-hepatitis B surface antibody (≥ 12.0 mIU/mL), after exclusion of those positive for anti-hepatitis B core antibody and/or hepatitis B surface antigen. We classified the states of glucose tolerance as normal glucose tolerance (NGT, 61.68%), abnormal glucose tolerance (AGT, 26.02%), or DM (13.30%). We observed a stepwise decline in hepatitis B seropositivity rate from NGT (53.64%) to AGT (45.52%) to DM (28.84%) (P
Published: 2021

82. Dynamin-2 Phosphorylation as A Critical Regulatory Target of Bin1 and GSK3α for Endocytosis in Muscle

Author: Wei-Chun Tang, Hui-Kang Liu, Yi-Cheng Chang, Ya-Wen Liu, Mei-Chun Chuang, Lee-Ming Chuang, Bi-Chang Chen, Julie Loh, and Jessica Laiman
Subjects: Cell signaling, Chemistry, Endocytic cycle, medicine, Myocyte, Centronuclear myopathy, medicine.symptom, medicine.disease, Myopathy, Endocytosis, Cell biology, Dynamin, Proto-oncogene tyrosine-protein kinase Src
Abstract: Tight regulation of endocytosis ensures accurate control of cellular signaling and membrane dynamics, which are crucial for tissue morphogenesis and functions. Mutations of Bin1 and dynamin-2 (Dyn2), proteins that generate membrane curvature and sever endocytic invaginations, respectively, cause progressive hereditary myopathy. Here, we show that Bin1 inhibits Dyn2 via direct interaction of its SRC Homology 3 (SH3) domain with the proline-rich domain (PRD) of Dyn2. Phosphorylation of S848 of Dyn2 by GSK3α, a kinase downstream of insulin signaling, relieves Dyn2 from the inhibition of Bin1 and promotes endocytosis in muscle. Mutations of Bin1 associated with centronuclear myopathy disrupt its inhibition of Dyn2, thereby exaggerating Dyn2 fission activity and causing excessive fragmentation of T-tubules in the muscle cells. Our work reveals how Bin1-Dyn2 interaction fine-tunes membrane remodeling at the molecular level, and lay the foundation for future exploration of endocytic regulation and hereditary muscle diseases.
Published: 2021

83. The Role of Hemoglobin A1C in Diabetes Screening and Diabetic Retinopathy

Author: Raynald Samoa, Rudruidee Karnchanasorn, Ken C. Chiu, Lee-Ming Chuang, Horng Yih Ou, and Maria Mercedes Chang Villacreses
Subjects: medicine.medical_specialty, National Health and Nutrition Examination Survey, endocrine system diseases, diagnosis, specificity, Gastroenterology, Article, Diabetes mellitus, Internal medicine, retinopathy, medicine, business.industry, nutritional and metabolic diseases, General Medicine, Diabetic retinopathy, medicine.disease, sensitivity, Predictive value, Diabetes screening, Cohort, diabetes mellitus, Medicine, Hemoglobin, business, Retinopathy
Abstract: Hemoglobin A1C (A1C) is used in various settings. Its performance has not been evaluated systemically. We compared A1C in diagnosis of diabetes with fasting plasma glucose (FPG) and 2-h postchallenged plasma glucose (2hPG) parameters in a cross-sectional cohort in the United Stated. Adult subjects (≥20 years) were identified from the National Health and Nutrition Examination Survey 2005–2016 without a history of diabetes who had BMI, A1C, FPG, and 2hPG (n = 10,416). For comparisons, we calculated the sample weighted prevalence, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with subgroup analyses. For the retinopathy study, diabetic subjects with established diabetes who responded to the question of diabetic retinopathy were evaluated (n = 3907). Compared to the FPG/2hPG criteria, A1C ≥ 48 mmol/mol (6.5%) had a low sensitivity at 25.90%, with specificity 99.70%, PPV 84.70%, and NPV 95.70%. Subgroup analyses revealed a lower sensitivity in males (24.52%), the lowest in non-Hispanic White (21.35%), in the third decade (14.32%), and in the BMI &lt, 22.50 kg/m2 group (7.21%). The prevalence of self-reported diabetic retinopathy increased drastically with an inflection point at A1C 48 mmol/mol (6.5%) from 11.52% to 18.32% (p &lt, 0.0001). A1C ≥ 48 mmol/mol (6.5%) should be cautiously used to diagnose diabetes in certain subgroups due to very low sensitivity in certain groups. With the confirmation of the association of increasing self-reported diabetic retinopathy with A1C ≥ 48 mmol/mol (6.5%), the current A1C cutoff is an acceptable value with the understanding of especially low sensitivity in certain subgroups.
Published: 2021

84. Whole genome sequence analysis of blood lipid levels in66,000 individuals

Author: Margaret Sunitha, Selvaraj, Xihao, Li, Zilin, Li, Akhil, Pampana, David Y, Zhang, Joseph, Park, Stella, Aslibekyan, Joshua C, Bis, Jennifer A, Brody, Brian E, Cade, Lee-Ming, Chuang, Ren-Hua, Chung, Joanne E, Curran, Lisa, de Las Fuentes, Paul S, de Vries, Ravindranath, Duggirala, Barry I, Freedman, Mariaelisa, Graff, Xiuqing, Guo, Nancy, Heard-Costa, Bertha, Hidalgo, Chii-Min, Hwu, Marguerite R, Irvin, Tanika N, Kelly, Brian G, Kral, Leslie, Lange, Xiaohui, Li, Martin, Lisa, Steven A, Lubitz, Ani W, Manichaikul, Preuss, Michael, May E, Montasser, Alanna C, Morrison, Take, Naseri, Jeffrey R, O'Connell, Nicholette D, Palmer, Patricia A, Peyser, Muagututia S, Reupena, Jennifer A, Smith, Xiao, Sun, Kent D, Taylor, Russell P, Tracy, Michael Y, Tsai, Zhe, Wang, Yuxuan, Wang, Wei, Bao, John T, Wilkins, Lisa R, Yanek, Wei, Zhao, Donna K, Arnett, John, Blangero, Eric, Boerwinkle, Donald W, Bowden, Yii-Der Ida, Chen, Adolfo, Correa, L Adrienne, Cupples, Susan K, Dutcher, Patrick T, Ellinor, Myriam, Fornage, Stacey, Gabriel, Soren, Germer, Richard, Gibbs, Jiang, He, Robert C, Kaplan, Sharon L R, Kardia, Ryan, Kim, Charles, Kooperberg, Ruth J F, Loos, Karine A, Viaud-Martinez, Rasika A, Mathias, Stephen T, McGarvey, Braxton D, Mitchell, Deborah, Nickerson, Kari E, North, Bruce M, Psaty, Susan, Redline, Alexander P, Reiner, Ramachandran S, Vasan, Stephen S, Rich, Cristen, Willer, Jerome I, Rotter, Daniel J, Rader, Xihong, Lin, Gina M, Peloso, and Sebastian, Zoellner
Subjects: Multidisciplinary, Whole Genome Sequencing, General Physics and Astronomy, Humans, General Chemistry, Cholesterol, LDL, Lipids, General Biochemistry, Genetics and Molecular Biology, Alleles, Genome-Wide Association Study
Abstract: Blood lipids are heritable modifiable causal factors for coronary artery disease. Despite well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing (WGS), partly due to limited sample sizes, ancestral diversity, and interpretation of clinical significance. Among 66,329 ancestrally diverse (56% non-European) participants, we associate 428M variants from deep-coverage WGS with lipid levels; ~400M variants were not assessed in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with blood lipids through analysis of common and rare coding variants. We discover several associated rare non-coding variants, largely at Mendelian lipid genes. Notably, we observe rare LDLR intronic variants associated with markedly increased LDL-C, similar to rare LDLR exonic variants. In conclusion, we conducted a systematic whole genome scan for blood lipids expanding the alleles linked to lipids for multiple ancestries and characterize a clinically-relevant rare non-coding variant model for lipids.
Published: 2021

85. Insulin Signaling Attenuates GLUT4 Endocytosis in Muscle Cells via GSK3α-Dyn2-Bin1 Interplay

Author: Bi-Chang Chen, Julie Loh, Yi-Cheng Chang, Wei-Chun Tang, Ya-Wen Liu, Jessica Laiman, Mei-Chun Chuang, and Lee-Ming Chuang
Subjects: biology, Chemistry, media_common.quotation_subject, Glucose transporter, Skeletal muscle, Endocytosis, Cell biology, Insulin receptor, medicine.anatomical_structure, Membrane fission, biology.protein, medicine, Myocyte, Internalization, GLUT4, media_common
Abstract: Insulin-induced translocation of glucose transporter 4 (GLUT4) to the plasma membrane of skeletal muscle is critical for postprandial glucose uptake; however, whether the internalization of GLUT4 into cells is also regulated by insulin signaling remains unclear. Here, we discover that the activity of dynamin-2 (Dyn2), pivotal GTPase catalyzing GLUT4 internalization, is regulated by insulin signaling in muscle cells. The membrane fission activity of Dyn2 is inhibited in muscle cells through binding with the SH3 domain-containing protein Bin1. Phosphorylation of Serine848 on Dyn2 by GSK3α or the mutations of Bin1-SH3 in patients with centronuclear myopathy, elevate the activity of Dyn2 due to reduced binding affinity toward Bin1. The augmented Dyn2 fission activity in muscle cells leads to GLUT4 internalization and Bin1-tubule vesiculation. Together, our findings reveal a new role of insulin signaling in glucose metabolism and muscle physiology via attenuating Dyn2 activity thus regulating GLUT4 endocytosis in muscle cell.
Published: 2021

86. Variant-specific inflation factors for assessing population stratification at the phenotypic variance level

Author: Jiang He, Ruth Loos, Stephanie Gogarten, C. Charles Gu, Alexi Runnels, Xiuwen Zheng, Pradeep Natarajan, Vipin Menon, James Pankow, Matthew Conomos, Karin Hoth, Joanne Curran, Marilyn Telen, Jennifer Body, Gregory Kinney, Tamar Sofer, Zeineen Momin, Frank Sciurba, Stephen Rich, Yi-Cheng Chang, Albert Vernon Smith, LEE-MING CHUANG, and Harshavardhan Doddapaneni
Subjects: 0301 basic medicine, Statistical methods, Science, General Physics and Astronomy, Genome-wide association study, 030105 genetics & heredity, Biology, Population stratification, Genome-wide association studies, Article, General Biochemistry, Genetics and Molecular Biology, Statistical power, 03 medical and health sciences, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Gene Frequency, Genetics research, Statistics, False positive paradox, Genetics, Humans, Computer Simulation, Allele frequency, Genetic association, Multidisciplinary, Human Genome, Genetic Variation, General Chemistry, Variance (accounting), 030104 developmental biology, Phenotype, Good Health and Well Being, Sample size determination, Sample Size, Next-generation sequencing, Generic health relevance, Algorithms, Genome-Wide Association Study
Abstract: In modern Whole Genome Sequencing (WGS) epidemiological studies, participant-level data from multiple studies are often pooled and results are obtained from a single analysis. We consider the impact of differential phenotype variances by study, which we term ‘variance stratification’. Unaccounted for, variance stratification can lead to both decreased statistical power, and increased false positives rates, depending on how allele frequencies, sample sizes, and phenotypic variances vary across the studies that are pooled. We develop a procedure to compute variant-specific inflation factors, and show how it can be used for diagnosis of genetic association analyses on pooled individual level data from multiple studies. We describe a WGS-appropriate analysis approach, implemented in freely-available software, which allows study-specific variances and thereby improves performance in practice. We illustrate the variance stratification problem, its solutions, and the proposed diagnostic procedure, in simulations and in data from the Trans-Omics for Precision Medicine Whole Genome Sequencing Program (TOPMed), used in association tests for hemoglobin concentrations and BMI., Pooling participant-level genetic data into a single analysis can result in variance stratification, reducing statistical performance. Here, the authors develop variant-specific inflation factors to assess variance stratification and apply this to pooled individual-level data from whole genome sequencing.
Published: 2021

87. Increasing endogenous PPARγ ligands improves insulin sensitivity and protects against diet-induced obesity without side effects of thiazolidinediones

Author: Ya-Wen Chou, Fu-Hsin Hung, Hsiao-Lin Lee, Meng-Lun Hsieh, Chu-Hsuan Chiu, Chi-Ming Tai, Yi-Cheng Chang, Jing-Yong Huang, Fang-Chi Kao, Chih-Neng Hsu, Teng-Kuang Yeh, Shih-Yi Chen, Lee-Ming Chuang, Bi-Yu Liu, Juey-Jen Hwang, Tzu-Yu Chen, Yvonne Shih, Ting-Jen Cheng, Fu-An Li, Yi-Yu Ke, Yu-Hua Tseng, Ming-Shiu Hung, Jamie Cheng, Shih-Yao Lin, Lun Tsou, Jiun-Yi Nong, Wei-Shun Yang, Yet-Ran Chen, and Siow-Wey Hee
Subjects: medicine.medical_specialty, Endocrinology, Text mining, business.industry, Chemistry, Internal medicine, medicine, Insulin sensitivity, lipids (amino acids, peptides, and proteins), Endogeny, business, medicine.disease, Obesity
Abstract: Insulin resistance and obesity are pivotal features of type 2 diabetes mellitus. Peroxisome proliferator-activated receptor γ (PPARγ) is a master transcriptional regulator of systemic insulin sensitivity and energy balance. The anti-diabetic drug thiazolidinediones are potent synthetic PPARγ ligands and insulin sensitizers with undesirable side effects including increased adiposity, fluid retention, and osteoporosis, which limit their clinical use. We and others have proved that 15-keto-PGE2 is an endogenous natural PPARγ ligand. 15-keto-PGE2 is catalyzed by prostaglandin reductase 2 (PTGR2) to become inactive metabolites. We found that 15-keto-PGE2 level is increased in Ptgr2 knockout mice. Ptgr2 knockout mice were protected from diet-induced obesity, insulin resistance, and hepatic steatosis without fluid retention nor reduced bone mineral density. Diet-induced obese mice have drastically reduced 15-keto-PGE2 levels compared to lean mice. Administration of 15-keto-PGE2 markedly improved insulin sensitivity and prevented diet-induced obesity in mice. We demonstrated that 15-keto-PGE2 activates PPARγ through covalent binding to its cysteine 285 residue at helix 3, which restrained its binding pocket between helix 3 and β-sheets of the PPARγ ligand binding domain. This binding mode differs from the helix12-dependent binding mode of thiazolidinediones. We further identified a small-molecule PTGR2 inhibitor BPRPT245, which interferes the interaction between the substrate-binding sites of PTGR2 and 15-keto-PGE2. BPRPT245 increased 15-keto-PGE2 concentration, activated PPARγ, and promoted glucose uptake in adipocytes. BPRPT245 also prevented diet-induced obesity, improved insulin sensitivity and glucose tolerance, lowers fasting glucose without fluid retention and osteoporosis. In humans, reduced serum 15-keto-PGE2 levels were observed in patients with type 2 diabetes compared with controls. Furthermore, serum 15-keto-PGE2 levels correlate inversely with insulin resistance and fasting glucose in non-diabetic humans. In conclusion, we identified a new therapeutic approach to improve insulin sensitivity and protect diet-induced obesity through increasing endogenous natural PPARγ ligands without side effects of thiazolidinediones.
Published: 2021

88. Role of hepatitis A virus in diabetes mellitus

Author: Raynald Samoa, Lee-Ming Chuang, James Lin, Horng Yih Ou, Ken C. Chiu, and Rudruidee Karnchanasorn
Subjects: Glucose metabolism, business.industry, Endocrinology, Diabetes and Metabolism, viruses, fungi, Vaccination, virus diseases, Observational Study, biochemical phenomena, metabolism, and nutrition, medicine.disease, Hepatitis a virus, digestive system diseases, Diabetes mellitus, Liver, Immunology, Internal Medicine, Medicine, Immunization, Viral hepatitis, business
Abstract: BACKGROUND Although much information is available regarding hepatitis C virus infection and diabetes, less is known about the relationship between hepatitis A virus (HAV) infection and diabetes. AIM To examine the roles of HAV in diabetes risk. METHODS This cross-sectional study population included data from the National Health and Nutrition Examination Survey collected between 2005-2012. Adult subjects (≥ 20 years old) with available body mass index measurements, defined diabetes status, history of HAV vaccination, and HAV serology were included. HAV vaccination was based on self-reported history. Successful HAV immunization was defined as the presence of both vaccination and anti-HAV antibody. HAV infection was defined by the absence of vaccination but presence of anti-hepatitis A antibody. The odds ratio (OR) for diabetes with 95% confidence intervals (95%CI) was calculated for each HAV status and then adjusted for covariates. Sensitivity tests, based on different definitions of diabetes, were performed to verify the results. RESULTS Among 19942 subjects, 4229 subjects (21.21%) received HAV vaccination and HAV antibody was present in 9224 subjects (46.25%). Although HAV infection was associated with an increased risk of diabetes (OR: 1.13; 95%CI: 1.08-1.18), HAV vaccination was not associated with diabetes (OR: 1.06; 95%CI: 0.95-1.18), and successful HAV immunization had no impact on the risk of diabetes (OR: 1.11; 95%CI: 0.97-1.27). Thus, HAV infection was an unlikely cause of diabetes. Alternatively, in non-vaccinated subjects, diabetes increased the risk of HAV infection by 40% (OR: 1.40, 95%CI: 1.27-1.54). CONCLUSION An association between HAV infection and diabetes is observed which is best explained by an increased risk of HAV infection in diabetic patients. Diabetic subjects are more susceptible to HAV. Thus, HAV vaccination is highly recommended in diabetic patients.
Published: 2021

89. GSK3α phosphorylates dynamin-2 to promote GLUT4 endocytosis in muscle cells

Author: Jessica Laiman, Yen-Jung Hsu, Julie Loh, Wei-Chun Tang, Mei-Chun Chuang, Hui-Kang Liu, Wei-Shun Yang, Bi-Chang Chen, Lee-Ming Chuang, Yi-Cheng Chang, and Ya-Wen Liu
Subjects: Mice, Dynamin II, Glycogen Synthase Kinase 3, Muscle Cells, Glucose, Glucose Transporter Type 4, Animals, Insulin, Cell Biology, Insulin Resistance, Endocytosis, Adaptor Proteins, Signal Transducing
Abstract: Insulin-stimulated translocation of glucose transporter 4 (GLUT4) to plasma membrane of skeletal muscle is critical for postprandial glucose uptake; however, whether the internalization of GLUT4 is also regulated by insulin signaling remains unclear. Here, we discover that the activity of dynamin-2 (Dyn2) in catalyzing GLUT4 endocytosis is negatively regulated by insulin signaling in muscle cells. Mechanistically, the fission activity of Dyn2 is inhibited by binding with the SH3 domain of Bin1. In the absence of insulin, GSK3α phosphorylates Dyn2 to relieve the inhibition of Bin1 and promotes endocytosis. Conversely, insulin signaling inactivates GSK3α and leads to attenuated GLUT4 internalization. Furthermore, the isoform-specific pharmacological inhibition of GSK3α significantly improves insulin sensitivity and glucose tolerance in diet-induced insulin-resistant mice. Together, we identify a new role of GSK3α in insulin-stimulated glucose disposal by regulating Dyn2-mediated GLUT4 endocytosis in muscle cells. These results highlight the isoform-specific function of GSK3α on membrane trafficking and its potential as a therapeutic target for metabolic disorders.
Published: 2021

90. A common East Asian-specific ALDH2 mutation causes obesity and insulin resistance: therapeutic effect of reducing toxic aldehydes by ALDH2 activation

Author: Meng-Lun Hsieh, Che-Hong Chen, Yi-Cheng Chang, Jing-Yong Huang, Li-Yun Chueh, Hsiao-Li Chuang, Hsiao-Lin Lee, Lee-Ming Chuang, Yi-Ting Tsai, Zhi-Zhong Ding, Wei-Lun Su, Jiun-Yi Nong, Cai-Cin Liu, Tung-Yuan Lee, Fu-An Li, Daria Mochly-Rosen, and Wenjin Yang
Subjects: medicine.medical_specialty, Insulin resistance, Endocrinology, business.industry, Internal medicine, Therapeutic effect, Mutation (genetic algorithm), medicine, medicine.disease, business, Obesity, ALDH2
Abstract: Obesity and type 2 diabetes have reached pandemic proportion. In particular, the population with diabetes is expected to rise rapidly in East and South Asia. ALDH2 (acetaldehyde dehydrogenase 2, mitochondrial) is the key metabolizing enzyme of acetaldehyde and other toxic aldehydes, such as 4-hydroxynonenal (4-HNE). A missense mutation, Glu504Lys of ALDH2 (denoted as the ALDH2*2 allele) is prevalent in 560 million East Asians, resulting in reduced ALDH2 enzymatic activity. We found that Aldh2*2/*2 homozygous knock-in (KI) mice mimicking human Glu504Lys mutation were prone to develop diet-induced obesity, glucose intolerance, insulin resistance, and fatty liver on a high-fat high-sucrose diet compared with controls. The Aldh2 KI mice demonstrated reduced energy expenditure and thermogenesis. Proteomic analyses of the brown adipose tissue (BAT) of the Aldh2 KI mice identified increased 4-HNE-adducted proteins involved in fatty acid oxidation and electron transport chain. Fatty acid oxidation rate and mitochondrial electron transport activity were reduced in the BAT of the Aldh2 KI mice, which explained the decrease in thermogenesis and energy expenditure. AD-9308 is a water-soluble prodrug of a potent and highly selective ALDH2 activator AD-5591. In vitro, AD-5591 enhanced both WT and mutant ALDH2 enzymatic activities. AD-9308 allosterically activates ALDH2 mainly by partially blocking the substrate exit tunnel, thereby accelerating the substrate-enzyme collision. In vivo, AD-9308 treatment reduced serum 4-HNE levels, ameliorated diet-induced obesity and fatty liver, and improved glucose homeostasis in both Aldh2 WT and KI mice dose-dependently. Our data highlight the therapeutic potential of reducing toxic aldehyde levels by activating ALDH2 for treating metabolic diseases.
Published: 2020

91. Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Author: Anubha Mahajan, Cassandra N Spracklen, Weihua Zhang, Maggie CY Ng, Lauren E Petty, Hidetoshi Kitajima, Grace Z Yu, Sina Rüeger, Leo Speidel, Young Jin Kim, Momoko Horikoshi, Josep M Mercader, Daniel Taliun, Sanghoon Moon, Soo-Heon Kwak, Neil R Robertson, Nigel W Rayner, Marie Loh, Bong-Jo Kim, Joshua Chiou, Irene Miguel-Escalada, Pietro della Briotta Parolo, Kuang Lin, Fiona Bragg, Michael H Preuss, Fumihiko Takeuchi, Jana Nano, Xiuqing Guo, Amel Lamri, Masahiro Nakatochi, Robert A Scott, Jung-Jin Lee, Alicia Huerta-Chagoya, Mariaelisa Graff, Jin-Fang Chai, Esteban J Parra, Jie Yao, Lawrence F Bielak, Yasuharu Tabara, Yang Hai, Valgerdur Steinthorsdottir, James P Cook, Mart Kals, Niels Grarup, Ellen M Schmidt, Ian Pan, Tamar Sofer, Matthias Wuttke, Chloe Sarnowski, Christian Gieger, Darryl Nousome, Stella Trompet, Jirong Long, Meng Sun, Lin Tong, Wei-Min Chen, Meraj Ahmad, Raymond Noordam, Victor JY Lim, Claudia HT Tam, Yoonjung Yoonie Joo, Chien-Hsiun Chen, Laura M Raffield, Cécile Lecoeur, Nisa M Maruthur, Bram Peter Prins, Aude Nicolas, Lisa R Yanek, Guanjie Chen, Richard A Jensen, Salman Tajuddin, Edmond Kabagambe, Ping An, Anny H Xiang, Hyeok Sun Choi, Brian E Cade, Jingyi Tan, Fernando Abaitua, Linda S Adair, Adebowale Adeyemo, Carlos A Aguilar-Salinas, Masato Akiyama, Sonia S Anand, Alain Bertoni, Zheng Bian, Jette Bork-Jensen, Ivan Brandslund, Jennifer A Brody, Chad M Brummett, Thomas A Buchanan, Mickaël Canouil, Juliana CN Chan, Li-Ching Chang, Miao-Li Chee, Ji Chen, Shyh-Huei Chen, Yuan-Tsong Chen, Zhengming Chen, Lee-Ming Chuang, Mary Cushman, Swapan K Das, H. Janaka de Silva, George Dedoussis, Latchezar Dimitrov, Ayo P Doumatey, Shufa Du, Qing Duan, Kai-Uwe Eckardt, Leslie S Emery, Daniel S Evans, Michele K Evans, Krista Fischer, James S Floyd, Ian Ford, Myriam Fornage, Oscar H Franco, Timothy M Frayling, Barry I Freedman, Christian Fuchsberger, Pauline Genter, Hertzel C Gerstein, Vilmantas Giedraitis, Clicerio González-Villalpando, Maria Elena González-Villalpando, Mark O Goodarzi, Penny Gordon-Larsen, David Gorkin, Myron Gross, Yu Guo, Sophie Hackinger, Sohee Han, Andrew T Hattersley, Christian Herder, Annie-Green Howard, Willa Hsueh, Mengna Huang, Wei Huang, Yi-Jen Hung, Mi Yeong Hwang, Chii-Min Hwu, Sahoko Ichihara, Mohammad Arfan Ikram, Martin Ingelsson, Md. Tariqul Islam, Masato Isono, Hye-Mi Jang, Farzana Jasmine, Guozhi Jiang, Jost B Jonas, Marit E Jørgensen, Torben Jørgensen, Yoichiro Kamatani, Fouad R Kandeel, Anuradhani Kasturiratne, Tomohiro Katsuya, Varinderpal Kaur, Takahisa Kawaguchi, Jacob M Keaton, Abel N Kho, Chiea-Chuen Khor, Muhammad G Kibriya, Duk-Hwan Kim, Katsuhiko Kohara, Jennifer Kriebel, Florian Kronenberg, Johanna Kuusisto, Kristi Läll, Leslie A Lange, Myung-Shik Lee, Nanette R Lee, Aaron Leong, Liming Li, Yun Li, Ruifang Li-Gao, Symen Ligthart, Cecilia M Lindgren, Allan Linneberg, Ching-Ti Liu, Jianjun Liu, Adam E Locke, Tin Louie, Jian’an Luan, Andrea O Luk, Xi Luo, Jun Lv, Valeriya Lyssenko, Vasiliki Mamakou, K Radha Mani, Thomas Meitinger, Andres Metspalu, Andrew D Morris, Girish N. Nadkarni, Jerry L Nadler, Michael A Nalls, Uma Nayak, Ioanna Ntalla, Yukinori Okada, Lorena Orozco, Sanjay R Patel, Mark A Pereira, Annette Peters, Fraser J Pirie, Bianca Porneala, Gauri Prasad, Sebastian Preissl, Laura J Rasmussen-Torvik, Alexander P Reiner, Michael Roden, Rebecca Rohde, Katheryn Roll, Charumathi Sabanayagam, Maike Sander, Kevin Sandow, Naveed Sattar, Sebastian Schönherr, Claudia Schurmann, Mohammad Shahriar, Jinxiu Shi, Dong Mun Shin, Daniel Shriner, Jennifer A Smith, Wing Yee So, Alena Stančáková, Adrienne M Stilp, Konstantin Strauch, Ken Suzuki, Atsushi Takahashi, Kent D Taylor, Barbara Thorand, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Brian Tomlinson, Jason M Torres, Fuu-Jen Tsai, Jaakko Tuomilehto, Teresa Tusie-Luna, Miriam S Udler, Adan Valladares-Salgado, Rob M van Dam, Jan B van Klinken, Rohit Varma, Marijana Vujkovic, Niels Wacher-Rodarte, Ellie Wheeler, Eric A Whitsel, Ananda R Wickremasinghe, Konstantin Willems van Dijk, Daniel R Witte, Chittaranjan S Yajnik, Ken Yamamoto, Toshimasa Yamauchi, Loïc Yengo, Kyungheon Yoon, Canqing Yu, Jian-Min Yuan, Salim Yusuf, Liang Zhang, Wei Zheng, null FinnGen, Leslie J Raffel, Michiya Igase, Eli Ipp, Susan Redline, Yoon Shin Cho, Lars Lind, Michael A Province, Craig L Hanis, Patricia A Peyser, Erik Ingelsson, Alan B Zonderman, Bruce M Psaty, Ya-Xing Wang, Charles N Rotimi, Diane M Becker, Fumihiko Matsuda, Yongmei Liu, Eleftheria Zeggini, Mitsuhiro Yokota, Stephen S Rich, Charles Kooperberg, James S Pankow, James C Engert, Yii-Der Ida Chen, Philippe Froguel, James G Wilson, Wayne HH Sheu, Sharon LR Kardia, Jer-Yuarn Wu, M Geoffrey Hayes, Ronald CW Ma, Tien-Yin Wong, Leif Groop, Dennis O Mook-Kanamori, Giriraj R Chandak, Francis S Collins, Dwaipayan Bharadwaj, Guillaume Paré, Michèle M Sale, Habibul Ahsan, Ayesha A Motala, Xiao-Ou Shu, Kyong-Soo Park, J Wouter Jukema, Miguel Cruz, Roberta McKean-Cowdin, Harald Grallert, Ching-Yu Cheng, Erwin P Bottinger, Abbas Dehghan, E-Shyong Tai, Josee Dupuis, Norihiro Kato, Markku Laakso, Anna Köttgen, Woon-Puay Koh, Colin NA Palmer, Simin Liu, Goncalo Abecasis, Jaspal S Kooner, Ruth JF Loos, Kari E North, Christopher A Haiman, Jose C Florez, Danish Saleheen, Torben Hansen, Oluf Pedersen, Reedik Mägi, Claudia Langenberg, Nicholas J Wareham, Shiro Maeda, Takashi Kadowaki, Juyoung Lee, Iona Y Millwood, Robin G Walters, Kari Stefansson, Simon R Myers, Jorge Ferrer, Kyle J Gaulton, James B Meigs, Karen L Mohlke, Anna L Gloyn, Donald W Bowden, Jennifer E Below, John C Chambers, Xueling Sim, Michael Boehnke, Jerome I Rotter, Mark I McCarthy, and Andrew P Morris
Subjects: 0303 health sciences, Transferability, Translation (biology), Type 2 diabetes, Biology, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Evolutionary biology, Global health, medicine, Genetic risk, Gene, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract: We assembled an ancestrally diverse collection of genome-wide association studies of type 2 diabetes (T2D) in 180,834 cases and 1,159,055 controls (48.9% non-European descent). We identified 277 loci at genome-wide significance (p-8), including 237 attaining a more stringent trans-ancestry threshold (p-9), which were delineated to 338 distinct association signals. Trans-ancestry meta-regression offered substantial enhancements to fine-mapping, with 58.6% of associations more precisely localised due to population diversity, and 54.4% of signals resolved to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying foundations for functional investigations. Trans-ancestry genetic risk scores enhanced transferability across diverse populations, providing a step towards more effective clinical translation to improve global health.
Published: 2020

92. Multi-omics analysis identifies CpGs near G6PC2 mediating the effects of genetic variants on fasting glucose

Author: Ren-Hua, Chung, Yen-Feng, Chiu, Wen-Chang, Wang, Chii-Min, Hwu, Yi-Jen, Hung, I-Te, Lee, Lee-Ming, Chuang, Thomas, Quertermous, Jerome I, Rotter, Yii-Der I, Chen, I-Shou, Chang, and Chao A, Hsiung
Subjects: Blood Glucose, Quantitative Trait Loci, Taiwan, Fasting, Genomics, DNA Methylation, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Cohort Studies, Glucose-6-Phosphatase, Humans, CpG Islands, Longitudinal Studies, Genome-Wide Association Study
Abstract: An elevated fasting glucose level in non-diabetic individuals is a key predictor of type 2 diabetes. Genome-wide association studies (GWAS) have identified hundreds of SNPs for fasting glucose but most of their functional roles in influencing the trait are unclear. This study aimed to identify the mediation effects of DNA methylation between SNPs identified as significant from GWAS and fasting glucose using Mendelian randomisation (MR) analyses.We first performed GWAS analyses for three cohorts (Taiwan Biobank with 18,122 individuals, the Healthy Aging Longitudinal Study in Taiwan with 1989 individuals and the Stanford Asia-Pacific Program for Hypertension and Insulin Resistance with 416 individuals) with individuals of Han Chinese ancestry in Taiwan, followed by a meta-analysis for combining the three GWAS analysis results to identify significant and independent SNPs for fasting glucose. We determined whether these SNPs were methylation quantitative trait loci (meQTLs) by testing their associations with DNA methylation levels at nearby CpG sites using a subsample of 1775 individuals from the Taiwan Biobank. The MR analysis was performed to identify DNA methylation with causal effects on fasting glucose using meQTLs as instrumental variables based on the 1775 individuals. We also used a two-sample MR strategy to perform replication analysis for CpG sites with significant MR effects based on literature data.Our meta-analysis identified 18 significant (p 5 × 10Our analysis results suggest that rs2232326 and rs2232328 in G6PC2 may affect DNA methylation at CpGs near the gene and that the methylation may have downstream effects on fasting glucose. Therefore, SNPs in G6PC2 and CpGs near G6PC2 may reside along the pathway that influences fasting glucose levels. This is the first study to report CpGs near G6PC2, an important gene for regulating insulin secretion, mediating the effects of GWAS-significant SNPs on fasting glucose.
Published: 2020

93. Hemoglobin glycation index predicts renal function deterioration in patients with type 2 diabetes and a low risk of chronic kidney disease

Author: Chih-Hung Lin, Ying-Chuen Lai, Tien-Jyun Chang, Yi-Der Jiang, Yi-Cheng Chang, and Lee-Ming Chuang
Subjects: Glycated Hemoglobin, Male, Hemoglobins, Endocrinology, Diabetes Mellitus, Type 2, Endocrinology, Diabetes and Metabolism, Internal Medicine, Humans, Female, General Medicine, Renal Insufficiency, Chronic, Kidney, Retrospective Studies
Abstract: Hemoglobin glycation index (HGI) is used to describe the difference between estimated and measured glycated hemoglobin (HbAThis retrospective cohort study enrolled 780 patients with type 2 diabetes and a low CKD risk according to the criteria of kidney disease: improving global outcomes. Participants were divided into two subgroups according to the baseline HGI calculated by fasting blood glucose and HbAThe participants were followed for a median of 7.3 years. A high HGI predicted rapid renal function decline without or with a resultant eGFR 60 ml/min/1.73 mHGI independently predicted renal function deterioration in patients with type 2 diabetes and a low CKD risk. Further investigations are warranted to elucidate its potential clinical impact.
Published: 2020

94. The Effects of Bariatric Surgery on Renal, Neurological, and Ophthalmic Complications in Patients with Type 2 Diabetes: the Taiwan Diabesity Study

Author: Keong Chong, Yi-Cheng Chang, Chih-Cheng Hsu, Seh-Huang Chao, Wei-Jei Lee, Yi-Chih Lee, Chieh-Hsiang Lu, Ching-Chu Chen, Meng-Lun Hsieh, Yu-Yao Huang, Lee-Ming Chuang, and Kong-Han Ser
Subjects: medicine.medical_specialty, Diabetic neuropathy, Visual acuity, Endocrinology, Diabetes and Metabolism, Original Contributions, Taiwan, Renal function, 030209 endocrinology & metabolism, Type 2 diabetes, Diabetic nephropathy, Overweight, Diabetic opthalmopathy, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, 030212 general & internal medicine, Prospective Studies, Bariatric surgery, Nutrition and Dietetics, business.industry, medicine.disease, Surgery, Obesity, Morbid, Diabetes Mellitus, Type 2, Albuminuria, medicine.symptom, business, Cohort study, Retinopathy
Abstract: Background Bariatric surgery has been shown to improve glycemic control in patients with type 2 diabetes. However, less is known whether it can also reduce diabetic renal, neurological, and ophthalmic complications. Methods This prospective multicenter cohort study compared renal, ophthalmic, and neurological complications between 49 patients with obesity/overweight receiving bariatric surgery and 338 patients receiving standard medical treatment after follow-up for 2 years. Patients received neurological examinations including toe tuning fork vibration test, ankle tendon reflex test, 10-g monofilament test, and ophthalmic examinations including visual acuity measurement and fundus examinations. Multiple regressions, propensity score weighting, and matching were employed to adjust for baseline differences. Results After 2 years of follow-up, patients with type 2 diabetes receiving bariatric surgery had greater reduction in BMI, HbA1c, and urine albumin–creatinine ratio, greater improvement in estimated glomerular filtration rate, and greater increase in tuning fork test score of right and left toes compared with the medical group. However, there is no improvement in 10 g-monofilament test, visual acuity, diabetic non-proliferative retinopathy, and proliferative retinopathy. Similar results were obtained using multiple regression adjustment, propensity-score weighting, or comparing age-, sex-, and BMI-matched subjects. Conclusions After 2-year follow-up, patients with obesity/overweight and type 2 diabetes receiving bariatric surgery have increased glomerular filtration rate, reduced albuminuria, and improved tuning folk vibration sensation.
Published: 2020

95. OR26-05 The Correction Factor for A1C in Anemic Patients

Author: Horng Yih Ou, Rudruidee Karnchanasorn, Wei Feng, Maria Mercedes Chang Villacreses, Ken C. Chiu, Lee-Ming Chuang, and Raynald Samoa
Subjects: Factor (chord), medicine.medical_specialty, endocrine system diseases, business.industry, Endocrinology, Diabetes and Metabolism, Internal medicine, medicine, nutritional and metabolic diseases, Impacts of Metabolism on Clinical Challenges, business, Diabetes Mellitus and Glucose Metabolism, Gastroenterology, AcademicSubjects/MED00250
Abstract: Diabetes can be defined by hemoglobinA1c (A1c), fasting plasma glucose (FPG), and 2-hour plasma glucose (2hPG). Despite that A1c has a tendency for underestimation of the prevalence of diabetes and overestimation of the prevalence of normal glucose tolerance, A1c is the most convenient method, since no preparation required. However, various factors could affect A1c. The objective of this project is to identify the covariates that affect A1c. The study sample included 9,952 adults (age≥20 years old) from the 2005–2016 NHANES. Subjects with established diabetes were excluded, and we analyzed subject’s documented BMI, A1c, FPG, 2hPG, Hemoglobin (Hgb), race/ethnicity, age, education, poverty index, family history of diabetes, and tobacco and alcohol consumption to determine their impact on A1C measurement. Continuous data were expressed as means with standard deviation. Either t-test or ANOVA was used to examine the influence of covariates on continuous variables. We examined the relation of A1c with FPG, 2hPG, and other covariates. With backward regression analysis, we excluded the covariates without significant impact on A1c. All the analyses were conducted in SYSTAT 13, Systat Software, Inc. In the univariate analysis, A1c was significantly corelated with FPG (r=0.5692, P
Published: 2020

96. Serum Angiopoietin-like Protein 6, Risk of Type 2 Diabetes, and Response to Hyperglycemia: A Prospective Cohort Study. Supplementary Tables

Author: Kang-Chih Fan, Hung-Tsung Wu, Jung-Nan Wei, Lee-Ming Chuang, Chih-Yao Hsu, I-Weng Yen, Chia-Hung Lin, Mao-Shin Lin, Shyang-Rong Shih, Shu-Huei Wang, Tien-Jyun Chang, and Hung-Yuan Li
Abstract: Supplementary Tables for the manuscript "Serum Angiopoietin-like Protein 6, Risk of Type 2 Diabetes, and Response to Hyperglycemia: A Prospective Cohort Study".
Published: 2020
Full Text: View/download PDF

97. Mitochondrial DNA associations with East Asian metabolic syndrome

Author: Dan Mishmar, Douglas C. Wallace, Olga Derbeneva, Larry N. Singh, Dimitra Chalkia, Lee-Ming Chuang, Yi-Cheng Chang, Xiaogang Liu, Ping H. Wang, and Maria Lvova
Subjects: Male, 0301 basic medicine, Pedigree chart, Eastern, medicine.disease_cause, Biochemistry, Haplogroup, Gene duplication, 2.1 Biological and endogenous factors, Aetiology, Metabolic Syndrome, Genetics, Mutation, mtDNA, Asia, Eastern, Diabetes, Single Nucleotide, Middle Aged, humanities, Mitochondrial, Mitochondria, Pedigree, Phenotype, Female, Type 2, Physical Chemistry (incl. Structural), Adult, Cybrids, Mitochondrial DNA, Asia, Biophysics, Biology, DNA, Mitochondrial, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Asian People, Diabetes Mellitus, medicine, Humans, Obesity, Polymorphism, Risk factor, Metabolic and endocrine, Nutrition, nutritional and metabolic diseases, DNA, social sciences, Cell Biology, medicine.disease, eye diseases, 030104 developmental biology, Diabetes Mellitus, Type 2, Haplotypes, Case-Control Studies, Biochemistry and Cell Biology, Metabolic syndrome, Human mitochondrial DNA haplogroup
Abstract: Mitochondrial dysfunction has repeatedly been reported associated with type 2 diabetes mellitus (T2DM) and metabolic syndrome (MS), as have mitochondrial DNA (mtDNA) tRNA and duplication mutations and mtDNA haplogroup lineages. We identified 19 Taiwanese T2DM and MS pedigrees from Taiwan, with putative matrilineal transmission, one of which harbored the pathogenic mtDNA tRNALeu(UUR) nucleotide (nt) 3243A>G mutation on the N9a3 haplogroup background. We then recruited three independent Taiwanese cohorts, two from Taipei (N = 498, mean age 52 and N = 1002, mean age 44) and one from a non-urban environment (N = 501, mean age 57). All three cohorts were assessed for an array of metabolic parameters, their mtDNA haplogroups determined, and the haplogroups correlated with T2DM/MS phenotypes. Logistic regression analysis revealed that mtDNA haplogroups D5, F4, and N9a conferred T2DM protection, while haplogroups F4 and N9a were risk factors for hypertension (HTN), and F4 was a risk factor for obesity (OB). Additionally, the 5263C>T (ND2 A165V) variant commonly associated with F4 was associated with hypertension (HTN). Cybrids were prepared with macro-haplogroup N (defined by variants m.ND3 10398A (114T) and m.ATP6 8701A (59T)) haplogroups B4 and F1 mtDNAs and from macro-haplogroup M (variants m.ND3 10398G (114A) and m.ATP6 8701G (59A)) haplogroup M9 mtDNAs. Additionally, haplogroup B4 and F1 cybrids were prepared with and without the mtDNA variant in ND1 3394T>C (Y30H) reported to be associated with T2DM. Assay of mitochondria complex I in these cybrids revealed that macro-haplogroup N cybrids had lower activity than M cybrids, that haplogroup F cybrids had lower activity than B4 cybrids, and that the ND1 3394T>C (Y30H) variant reduced complex I on both the B4 and F1 background but with very different cumulative effects. These data support the hypothesis that functional mtDNA variants may contribute to the risk of developing T2DM and MS.
Published: 2018

98. Inhibition of semicarbazide-sensitive amine oxidase reduces atherosclerosis in apolipoprotein E-deficient mice

Author: Mercedes Unzeta, Tse-Ya Yu, Lee-Ming Chuang, Mao-Shin Lin, Hsien-Li Kao, Christopher J. Weston, Montse Solé, Yu I. Li, Shu-Huei Wang, Chi-Sheng Hung, Feng-Chiao Tsai, Yuh-Lien Chen, and Hung-Yuan Li
Subjects: Male, 0301 basic medicine, Apolipoprotein E, 030204 cardiovascular system & hematology, medicine.disease_cause, Umbilical vein, 0302 clinical medicine, Cell Movement, Enzyme Inhibitors, Chemistry, Cell adhesion molecule, Amine oxidase (copper-containing), General Medicine, Middle Aged, Plaque, Atherosclerotic, Semicarbazides, Cholesterol, Benzamides, Cytokines, Female, Amine Oxidase (Copper-Containing), Inflammation Mediators, medicine.symptom, medicine.medical_specialty, Inflammation, Allylamine, Proinflammatory cytokine, 03 medical and health sciences, Apolipoproteins E, Physiology (medical), Internal medicine, Human Umbilical Vein Endothelial Cells, medicine, Animals, Humans, Cell Proliferation, Macrophages, Biochemistry (medical), Public Health, Environmental and Occupational Health, Hydrogen Peroxide, Atherosclerosis, bacterial infections and mycoses, medicine.disease, respiratory tract diseases, Mice, Inbred C57BL, Oxidative Stress, 030104 developmental biology, Atheroma, Endocrinology, Cell Adhesion Molecules, Biomarkers, Oxidative stress
Abstract: Inflammation, oxidative stress, and formation of advanced glycated end products (AGEs) and advanced lipoxidation end products (ALEs) are important for atherosclerosis. Vascular adhesion protein-1 (VAP-1) participates in inflammation and has semicarbazide-sensitive amine oxidase (SSAO) activity, which catalyzes oxidative deamination to produce hydrogen peroxide and aldehydes, leading to generation of AGEs and ALEs. However, the effect of VAP-1/SSAO inhibition on atherosclerosis remains controversial, and no studies used coronary angiography to evaluate if plasma VAP-1/SSAO is a biomarker for coronary artery disease (CAD). Here, we examined if plasma VAP-1/SSAO is a biomarker for CAD diagnosed by coronary angiography in humans and investigated the effect of VAP-1/SSAO inhibition by a specific inhibitor PXS-4728A on atherosclerosis in cell and animal models. In the study, VAP-1/SSAO expression was increased in plaques in humans and in apolipoprotein E (ApoE)-deficient mice, and colocalized with vascular endothelial cells and smooth muscle cells (SMCs). Patients with CAD had higher plasma VAP-1/SSAO than those without CAD. Plasma VAP-1/SSAO was positively associated with the extent of CAD. In ApoE-deficient mice, VAP-1/SSAO inhibition reduced atheroma and decreased oxidative stress. VAP-1/SSAO inhibition attenuated the expression of adhesion molecules, chemoattractant proteins, and proinflammatory cytokines in the aorta, and suppressed monocyte adhesion and transmigration across human umbilical vein endothelial cells. Consequently, the expression of markers for macrophage recruitment and activation in plaques was decreased by VAP-1/SSAO inhibition. Besides, VAP-1/SSAO inhibition suppressed proliferation and migration of A7r5 SMC. Our data suggest that plasma VAP-1/SSAO is a novel biomarker for the presence and the extent of CAD in humans. VAP-1/SSAO inhibition by PXS-4728A is a potential treatment for atherosclerosis.
Published: 2018

99. Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries

Author: Cashell E. Jaquish, Craig P. Hersh, Emily Barron-Casella, Larry Phillips, James S. Pankow, JoAnn E. Manson, Mariza de Andrade, Vivien A. Sheehan, Norann A. Zaghloul, Yongmei Liu, Sergei Nekhai, Russell P. Tracy, Bruce S. Weir, Pankaj Qasba, Adrienne M. Stilp, Tasha E. Fingerlin, Heather M. Ochs-Balcom, L. Adrienne Cupples, Rongze Yang, David A. Schwartz, Shannon Kelly, Scott E. Devine, Tanja Smith, G.L. Kinney, Beverly Snively, Kent D. Taylor, Manolis Kellis, Ruth J. F. Loos, Seth A. Ament, Kathleen C. Barnes, Robert C. Kaplan, Ulrich Broeckel, Hemant K. Tiwari, Karin F. Hoth, Peter Durda, Julie L. Mikulla, Charles B. Eaton, Cotton Seed, Merry Lynn McDonald, Eric Boerwinkle, Josh Smith, Honghuang Lin, Ingrid B. Borecki, Jeffrey L. Curtis, Emelia J. Benjamin, Kenneth Rice, Sharon L.R. Kardia, Nicholas L. Smith, Coleen M. Damcott, Jeffrey Haessler, Kimberly L. Jones, Elaine Cornell, Nona Sotoodehnia, Adolfo Correa, Rich Johnston, C. Charles Gu, Chii Min Hwu, Peter C. Anderson, Lesley F. Tinker, Colleen Davis, R. Graham Barr, Scott T. Weiss, Leanna Farnam, Chao Hsiung, Brian Silver, Patrick F. McArdle, Lisa W. Martin, Yii-Der Ida Chen, John Barnard, Holly Kramer, Sekar Kathiresan, Gonçalo R. Abecasis, Barry Make, Michael C. Mahaney, Marco V Perez, Donna K. Arnett, Mark Chaffin, Xiuqing Guo, Joshua C. Bis, Pamela Russell, Paul L. Auer, James G. Wilson, Marilyn J. Telen, David K. Levine, Jennifer A. Smith, Christopher Scheller, Meher Preethi Boorgula, Aakrosh Ratan, Kari E. North, Dan E. Arking, Elizabeth A. Regan, Margaret G. Parker, Andres Metspalu, Jai G. Broome, Daniel Taliun, Lynette Ekunwe, Alyna T. Khan, Hao Mei, Dhananjay Vaidya, Ellen M. Schmidt, Stanford Mwasongwe, Joshua P. Lewis, Stacey Gabriel, Christine E. Seidman, Margery Gass, Deborah A. Nickerson, Nicola L. Hawley, Rebecca L. Beer, Afshin Parsa, Steven L. Salzberg, Terri H. Beaty, Stella Aslibekyan, Girish N. Nadkarni, Wei Zhao, David L. Tirschwell, Karen Bunting, Dawn L. DeMeo, Laura J. Rasmussen-Torvik, Julia Powers Becker, Dmitry Prokopenko, Karen Schwander, Bruce D. Gelb, Stephanie Krauter, Laura M. Raffield, Michael E. Hall, Frank C. Sciurba, Lauren Margolin, Nora Franceschini, Daniel N. Harris, Seyedeh M. Zekavat, Dawood Darbar, Keng-Han Lin, Haley Huston, Steven A. Lubitz, Andrea Ganna, Carole Sztalryd, Cathy C. Laurie, Christy Chang, James E. Hixson, Steven A. McCarroll, Barbara A. Konkle, Michael D. Kessler, Scott I. Vrieze, Yingze Zhang, Sarah Ruuska, George J. Papanicolaou, Weiniu Gan, Maris Alver, Elizabeth A. Streeten, Fei Fei Wang, Lu-Chen Weng, Braxton D. Mitchell, Lee-Ming Chuang, Sean P. David, Wei-Min Chen, Susan R. Heckbert, Ryan D. Hernandez, Andrew D. Johnson, Cristen J. Willer, Ani Manichaikul, Jonathan M. Bloom, Timothy D. O’Connor, Sylvia Smoller, Marguerite R. Irvin, Seung Hoan Choi, Ida Surakka, Veikko Salomaa, Diane M. Becker, Ron Do, W. Craig Johnson, Cecelia A. Laurie, Meryl S. LeBoff, Aniket Shetty, Tõnu Esko, Michael C. Zody, Xiaoqi Geng, Da Wei Gong, Snow Xueyan Zhao, Esteban G. Burchard, Xiuwen Zheng, Cara L. Carty, Alexander P. Reiner, Tim Assimes, Deborah A. Meyers, Mina K. Chung, Harald H H Göring, Benjamin M. Neale, Pradeep Natarajan, Yan Gao, Stephen S. Rich, Yun Ju Sung, Susan K. Dutcher, Ferdouse Begum, Stephanie M. Gogarten, John Blangero, Jonathan Cardwell, Kayleen Williams, Rakhi P. Naik, Amol C. Shetty, Sayantan Das, Myriam Fornage, May E. Montasser, Michelle Daya, Edwin K. Silverman, Daniel E. Weeks, Laura J. Kaufman, Dimitrios Avramopoulos, Michael Y. Tsai, Christine M. Albert, Vijay G. Sankaran, Jeffrey R. O'Connell, Thomas W. Blackwell, Stephen T. McGarvey, Robert M. Reed, Leslie A. Lange, Qing Duan, Bruce M. Psaty, Leslie S. Emery, Bertha Hidalgo, Jennifer A. Brody, L. Keoki Williams, Soren Germer, Zhaohui S. Qin, Deepti Jain, Deborah Applebaum-Bowden, Carla Wilson, Degui Zhi, Christoph Lange, Elliott Hong, L.F. Bielak, Wen Jane Lee, Yue Guan, Tarik Walker, Rebecca D. Jackson, Charles R. Farber, Mark J. Daly, Stephanie M. Fullerton, John E. Hokanson, Karol E. Watson, James Luo, Richard Casaburi, Seunggeun Lee, Jill M. Johnsen, Margaret A. Taub, Ryan L. Minster, Ravi Duggirala, Susan K. Mathai, Yun Li, Quenna Wong, Matthew Flickinger, Huichun Xu, Susan Redline, Ulrike Peters, Ivana V. Yang, Jesse M. Engreitz, Sanni Ruotsalainen, Sean K. McFarland, Avram D Walts, Patricia A. Peyser, Allison E. Ashley-Koch, Lewis C. Becker, Nicholette Palmer Allred, James A. Perry, Jody S. Sylvia, Tamar Sofer, Vasan S. Ramachandran, Laura Almasy, Matthew J. Budoff, Ranjan Deka, David M. Herrington, Simeon I. Taylor, Daniel Levy, Chaojie Yang, Sameer Chavan, Kathleen A. Ryan, Josyf C. Mychaleckyj, Ingo Ruczinski, Sebastian Zoellner, Michael Preuss, Tim Poterba, Wendy S. Post, Amber L. Beitelshees, Ben Heavner, Carolina Roselli, Namiko Abe, Jonathon LeFaive, Mark T. Gladwin, Brian Custer, Robert B. Wallace, Simin Liu, Michael H. Cho, Robert E. Handsaker, Dabeeru C. Rao, Bo Juen Chen, Wayne Hui Heng Sheu, Xiang Zhou, Marcos Bezerra, Solomon K. Musani, Eimear E. Kenny, James F. Casella, Kathryn L. Lunetta, Nancy Min, Nicholas Rafaels, Lisa R. Yanek, Min A. Jhun, David C. Glahn, Rasika A. Mathias, Mollie A. Minear, Russell P. Bowler, Jason Ernst, Carolyn J. Crandall, Sara Penchev, Alvaro Alonso, Timothy A. Thornton, Toni I. Pollin, Charles Kooperberg, Ethan M. Lange, Juan M. Peralta, Pramod Anugu, Lucinda Fulton, Adam A. Szpiro, Michael R. DeBaun, M. Benjamin Shoemaker, Sam Phillips, Dan M. Roden, Mao Fu, Daniel I. Chasman, James D. Crapo, Hua Tang, Gina M. Peloso, Hyun Min Kang, Samuli Ripatti, Phuwanat Sakornsakolpat, Christopher R. Gignoux, Peter VandeHaar, Jerome I. Rotter, Dandi Qiao, Emily S. Wan, Shabnam Salimi, Kevin Sandow, Jiang He, Patrick T. Ellinor, Joanne E. Curran, Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, University of Helsinki, Centre of Excellence in Complex Disease Genetics, Clinicum, Doctoral Programme in Population Health, Department of Public Health, and Complex Disease Genetics
Subjects: 0301 basic medicine, Apolipoprotein B, General Physics and Astronomy, Gene Expression, Genome-wide association study, 030204 cardiovascular system & hematology, Cardiovascular, Lipoprotein particle, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, GENETIC-VARIANTS, 2.1 Biological and endogenous factors, WIDE ASSOCIATION, Aetiology, lcsh:Science, African Continental Ancestry Group, Genetics, Multidisciplinary, Genome, biology, CHOLESTEROL, Adaptor Proteins, Lipoprotein(a), Single Nucleotide, NHLBI TOPMed Lipids Working Group, 3142 Public health care science, environmental and occupational health, 3. Good health, Cholesterol, Heart Disease, Cardiovascular Diseases, CARDIOVASCULAR-DISEASE, RARE VARIANTS, lipids (amino acids, peptides, and proteins), LOW-FREQUENCY, Human, DNA Copy Number Variations, Science, Quantitative Trait Loci, European Continental Ancestry Group, Black People, POPULATION-SCALE, Quantitative trait locus, Article, White People, General Biochemistry, Genetics and Molecular Biology, LDL, Structural variation, 03 medical and health sciences, COMPONENTS-ANALYSIS, RISK-FACTOR, Humans, CORONARY-HEART-DISEASE, Polymorphism, Whole Genome Sequencing, Prevention, Human Genome, General Chemistry, Atherosclerosis, Vesicular Transport, Good Health and Well Being, 030104 developmental biology, chemistry, biology.protein, lcsh:Q, 3111 Biomedicine, Lipoprotein, Genome-Wide Association Study
Abstract: Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use deep-coverage whole genome sequencing in 8392 individuals of European and African ancestry to discover and interpret both single-nucleotide variants and copy number (CN) variation associated with Lp(a). We observe that genetic determinants between Europeans and Africans have several unique determinants. The common variant rs12740374 associated with Lp(a) cholesterol is an eQTL for SORT1 and independent of LDL cholesterol. Observed associations of aggregates of rare non-coding variants are largely explained by LPA structural variation, namely the LPA kringle IV 2 (KIV2)-CN. Finally, we find that LPA risk genotypes confer greater relative risk for incident atherosclerotic cardiovascular diseases compared to directly measured Lp(a), and are significantly associated with measures of subclinical atherosclerosis in African Americans., Circulating lipoprotein(a) is an important risk factor for cardiovascular disease and shows variability between different ethnic groups. Here, Zekavat et al. perform whole-genome sequencing in individuals of European and African ancestries and find ancestry-specific genetic determinants for lipoprotein(a) levels.
Published: 2018

100. Genetic variation of SORBS1 gene is associated with glucose homeostasis and age at onset of diabetes: A SAPPHIRe Cohort Study

Author: Tien-Jyun Chang, Wen-Chang Wang, Chao A. Hsiung, Chih-Tsueng He, Ming-Wei Lin, Wayne Huey-Herng Sheu, Yi-Cheng Chang, Tom Quertermous, Yii-Der Ida Chen, Jerome I. Rotter, Lee-Ming Chuang, and The SAPPHIRe Study Group
Subjects: Blood Glucose, Male, 0301 basic medicine, SORBS1, medicine.medical_treatment, Physiology, lcsh:Medicine, Prevalence, 2.1 Biological and endogenous factors, Insulin, Glucose homeostasis, Aetiology, Age of Onset, lcsh:Science, Multidisciplinary, biology, Incidence, Incidence (epidemiology), Diabetes, Microfilament Proteins, Single Nucleotide, Middle Aged, Female, Type 2, Adult, China, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Asian People, Diabetes mellitus, Diabetes Mellitus, Genetics, medicine, Humans, Genetic Predisposition to Disease, Polymorphism, Metabolic and endocrine, Nutrition, business.industry, lcsh:R, Glucose Tolerance Test, medicine.disease, Minor allele frequency, Insulin receptor, 030104 developmental biology, SAPPHIRe Study Group, Diabetes Mellitus, Type 2, biology.protein, lcsh:Q, business, Follow-Up Studies
Abstract: The SORBS1 gene plays an important role in insulin signaling. We aimed to examine whether common single-nucleotide polymorphisms (SNPs) of SORBS1 are associated with prevalence and incidence of diabetes, age at onset of diabetes, and the related traits of glucose homeostasis. A total of 1135 siblings from 492 ethnic Chinese families were recruited at baseline, and 630 were followed up for 5.19 ± 0.96 years. Nine SNPs including rs7081076, rs2281939, rs3818540, rs2274490, rs61739184, rs726176, rs2296966, rs17849148, and rs3193970 were genotyped and examined. To deal with correlated data of subjects within the same families, the generalized estimating equations approach was applied throughout all association analyses. The GG genotype of rs2281939 was associated with a higher risk of diabetes at baseline, an earlier onset of diabetes, and higher steady-state plasma glucose levels in the modified insulin suppression test. The minor allele T of rs2296966 was associated with higher prevalence and incidence of diabetes, an earlier onset of diabetes, and higher 2-h glucose during oral glucose tolerance test. These two SNPs revealed independent associations with age of diabetes onset as well as risk of diabetes at baseline. These findings supported that SORBS1 gene participates in the pathogenesis of diabetes.
Published: 2018

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Region

Database

Publisher

571 results on '"Lee-Ming Chuang"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources