Telomere Length and Health: A Genetic Instrumental Variables Analysis • Rita Hamad, Stanford University ; David H. Rehkopf, Stanford University

Using Structural Differences between Environments to Better Understand Gene-Environment Correlations • Benjamin Domingue, University of Colorado, Boulder ; Jason D. Boardman, University of Colorado, Boulder

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

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