Okada, Yukinori, Sim, Xueling, Lim, Su-Chi, Wong, Tien-Yin, Liu, Jianjun, Young, Terri L., Aung, Tin, Seielstad, Mark, Teo, Yik-Ying, Kim, Young Jin, Lee, Jong-Young, Han, Bok-Ghee, Go, Min Jin, Kang, Daehee, Chen, Chien-Hsiun, Tsai, Fuu-Jen, Chang, Li-Ching, Fann, S-J. Cathy, Mei, Hao, Rao, Dabeeru C., Hixson, James E., Chen, Shufeng, Katsuya, Tomohiro, Wu, Jer-Yuarn, Isono, Masato, Ogihara, Toshio, Chambers, John C., Zhang, Weihua, Kooner, Jaspal S., Albrecht, Eva, Yamamoto, Kazuhiko, Kubo, Michiaki, Nakamura, Yusuke, Kamatani, Naoyuki, Gu, Dongfeng, Kato, Norihiro, He, Jiang, Chen, Yuan-Tsong, Cho, Yoon Shin, Tai, E-Shyong, Tanaka, Toshihiro, Oldmeadow, C. J., Scott, R., Holliday, E. G., Attia, J. R., Takeuchi, Fumihiko, Takahashi, Atsushi, Maeda, Shiro, Tsunoda, Tatsuhiko, Chen, Peng. Nature Publishing Group; 2012. Meta-analysis identifies multiple loci associated with kidney function-related traits in east Asian populations.

Keaton, Jacob M., Kamali, Zoha, Young, William J., Lehtimäki, T, Raitakari, OT, Johnson, AD, Newton-Cheh, C, Brown, MJ, Dominiczak, AF, Sever, PJ, Poulter, N, Chambers, JC, Elosua, R, Traylor, Matthew, Siscovick, D, Esko, T, Metspalu, A, Strawbridge, RJ, Laakso, M, Hamsten, A, Hottenga, J-J, de Geus, E, Morris, AD, Palmer, CNA, Giri, Ayush, Nolte, IM, Milaneschi, Y, Marten, J, Wright, A, Zeggini, E, Howson, JMM, O'Donnell, CJ, Spector, T, Nalls, MA, Simonsick, EM, Zheng, Zhili, Liu, Y, van Duijn, CM, Butterworth, AS, Danesh, JN, Menni, C, Wareham, NJ, Khaw, K-T, Sun, YV, Wilson, PWF, Cho, K, Zeng, Jian, Visscher, PM, Denny, JC, Million Veteran Program,, Lifelines Cohort Study,, CHARGE consortium,, ICBP Consortium,, Levy, D, Edwards, TL, Munroe, PB, Snieder, H, Chasman, Daniel I., Warren, HR, Morris, Andrew P., Caulfield, Mark J., Hwang, Shih-Jen, Kooner, Jaspal S., Xie, Tian, Attia, John R., Attia, JR, Morrison, AC, Loos, RJF, Kristiansson, K, Schmidt, R, Hicks, AA, Pramstaller, PP, Nelson, CP, Samani, NJ, Vaez, Ahmad, Risch, L, Gyllensten, U, Melander, O, Riese, H, Wilson, JF, Campbell, H, Rich, SS, Psaty, BM, Lu, Y, Rotter, JI, Williams, Ariel, Guo, X, Rice, KM, Vollenweider, P, Sundström, J, Langenberg, C, Tobin, MD, Giedraitis, V, Luan, J, Tuomilehto, J, Kutalik, Z, Goleva, Slavina B., Ripatti, S, Salomaa, V, Girotto, G, Trompet, S, Jukema, JW, van der Harst, P, Ridker, PM, Giulianini, F, Vitart, V, Goel, A, Ani, Alireza, Watkins, H, Harris, SE, Deary, IJ, van der Most, PJ, Oldehinkel, AJ, Keavney, BD, Hayward, C, Campbell, A, Boehnke, M, Scott, LJ, Evangelou, Evangelos, Boutin, T, Mamasoula, C, Järvelin, M-R, Peters, A, Gieger, C, Lakatta, EG, Cucca, F, Hui, J, Knekt, P, Enroth, S, Hellwege, Jacklyn N., De Borst, MH, Polašek, O, Concas, MP, Catamo, E, Cocca, M, Li-Gao, R, Hofer, E, Schmidt, H, Spedicati, B, Waldenberger, M, Yengo, Loic, Strachan, DP, Laan, M, Teumer, A, Dörr, M, Gudnason, V, Cook, JP, Ruggiero, D, Kolcic, I, Boerwinkle, E, Traglia, M. Nature Publishing Group; 2024. Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.