Identification of shared genetic architecture between non-alcoholic fatty liver disease and type 2 diabetes: A genome-wide analysis by Yajing Tan, Qian He, Kei Hang Katie Chan, Kei Hang Katie Chan, Kei Hang Katie Chan

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Evaluating the Causal Effects of Gestational Diabetes Mellitus, Heart Disease, and High Body Mass Index on Maternal Alzheimer’s Disease and Dementia: Multivariable Mendelian Random... by Jie Sheng, Jundong Liu, Kei Hang Katie Chan, Kei Hang Katie Chan, Kei Hang Katie Chan

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Shared genetic mechanism between type 2 diabetes and COVID-19 using pathway-based association analysis by Kevin Chun Hei Wu, Qian He, Adam N. Bennett, Jie Li, Kei Hang Katie Chan, Kei Hang Katie Chan, Kei Hang Katie Chan

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Drug repositioning for esophageal squamous cell carcinoma by Adam N. Bennett, Rui Xuan Huang, Qian He, Nikki P. Lee, Wing-Kin Sung, Kei Hang Katie Chan, Kei Hang Katie Chan, Kei Hang Katie Chan

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Prediction of COVID-19 cases by multifactor driven long short-term memory (LSTM) model by Yanwen Shao, Tsz Kin Wan, Kei Hang Katie Chan

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Lung adenocarcinoma-related target gene prediction and drug repositioning by Rui Xuan Huang, Damrongrat Siriwanna, William C. Cho, Tsz Kin Wan, Yan Rong Du, Adam N. Bennett, Qian Echo He, Jun Dong Liu, Xiao Tai Huang, Kei Hang Katie Chan, Kei Hang Katie Chan, Kei Hang Katie Chan

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Canary: an automated tool for the conversion of MaCH imputed dosage files to PLINK files by Adam N. Bennett, Jethro Rainford, Xiaotai Huang, Qian He, Kei Hang Katie Chan

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Association between birth weight and the risk of chronic kidney disease in men and women: Findings from a large prospective cohort study by Lingyan Dai, Juncheng Zhuang, Li Fan, Xia Zou, Kei Hang Katie Chan, Xueqing Yu, Jie Li

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Nutritional Interventions for the Prevention of Cognitive Decline in Patients With Mild Cognitive Impairment and Alzheimer Disease: Protocol for a Network Meta-Analysis of Randomiz... by Qian He, Kevin Chun Hei Wu, Adam N Bennett, Jia Yue Zhang, Kei Hang Katie Chan

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Identifying Predictors of COVID-19 Mortality Using Machine Learning by Tsz-Kin Wan, Rui-Xuan Huang, Thomas Wetere Tulu, Jun-Dong Liu, Asmir Vodencarevic, Chi-Wah Wong, Kei-Hang Katie Chan

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A Mendelian randomization-based exploration of red blood cell distribution width and mean corpuscular volume with risk of hemorrhagic strokes by Jundong Liu, Elizabeth L Chou, Kui Kai Lau, Peter Yat Ming Woo, Tsz Kin Wan, Ruixuan Huang, Kei Hang Katie Chan

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Exploring Lead loci shared between schizophrenia and Cardiometabolic traits by Qian He, Adam N. Bennett, Jundong Liu, Beifang Fan, Xue Han, Lu Cheng, Yan Chen, Xia Yang, Kei Hang Katie Chan

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Adversities in childhood and young adulthood and incident cardiovascular diseases: a prospective cohort studyResearch in context by Xia Zou, Junfei Zhao, Anping Feng, Kei Hang Katie Chan, Wen-Chih Wu, JoAnn E. Manson, Simin Liu, Jie Li

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Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers by Thomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, Chun Hei Wu, Peter Yat Ming Woo, Cee Zhung Steven Tseng, Asmir Vodencarevic, Cristina Menni, Kei Hang Katie Chan

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Correction: Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers by Thomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, Chun Hei Wu, Peter Yat Ming Woo, Cee Zhung Steven Tseng, Asmir Vodencarevic, Cristina Menni, Kei Hang Katie Chan

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