1. Biodemographic Approaches Can Improve Power of Genetic Analyses of Longitudinal Data on Aging, Health, and Longevity • Konstantin G. Arbeev, Duke University; Liubov Arbeeva, Duke University; Igor Akushevich, Duke University; Alexander Kulminski, Duke University; Deqing Wu, Duke University; Svetlana V. Ukraintseva, Duke University; Irina V. Culminskaya, Duke University.
2. Using Structural Differences between Environments to Better Understand Gene-Environment Correlations • Benjamin Domingue, University of Colorado, Boulder; Jason D. Boardman, University of Colorado, Boulder.
3. Telomere Length and Health: A Genetic Instrumental Variables Analysis • Rita Hamad, Stanford University; David H. Rehkopf, Stanford University.
4. FOXO1A-209-by-Tea-Drinking Interaction Is Significantly Associated with Reduced Mortality Risk at Advanced Ages • Yi Zeng, Duke University and Peking University; Huashuai Chen, Duke University and Xiangtan University; Ting Ni, Fudan University; Rongping Ruan, Renmin University of China; Chao Nie, Beijing Genomics Institute (BGI), Shenzhen; Xiaomin Liu, Beijing Genomics Institute (BGI), Shenzhen; Lei Feng, National University of Singapore; Fengyu Zhang, National Institute of Mental Health, NIH; Jiehua Lu, Beijing University; Jianxin Li, Beijing University; Yang Li, Peking University; Wei Tao, Peking University; Kenneth C. Land, Duke University; Qihua Tan, University of Southern Denmark; Ze Yang, Ministry of Health of China; Lars Bolund, Aarhus University; Ming Qi, Zhejiang University; Huanming Yang, Beijing Genomics Institute (BGI), Shenzhen; Craig Willcox, Okinawa International University; Bradley Willcox, University of Hawaii; James W. Vaupel, Max Planck Institute for Demographic Research and Max Planck Odense Center; Simon Gregory, Duke University; Jun Gu, Peking University; Xiaoli Tian, Peking University; Elizabeth Hauser, Duke University.
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