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Preview	Issue Date	Title	Author(s)
	2017	Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits	Justice, A.; Winkler, T.; Feitosa, M.; Graff, M.; Fisher, V.; Young, K.; Barata, L.; Deng, X.; Czajkowski, J.; Hadley, D.; Ngwa, J.; Ahluwalia, T.; Chu, A.; Heard-Costa, N.; Lim, E.; Perez, J.; Eicher, J.; Kutalik, Z.; Xue, L.; Mahajan, A.; et al.
	2018	Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection	Pardiñas, A.; Holmans, P.; Pocklington, A.; Escott-Price, V.; Ripke, S.; Carrera, N.; Legge, S.; Bishop, S.; Cameron, D.; Hamshere, M.; Han, J.; Hubbard, L.; Lynham, A.; Mantripragada, K.; Rees, E.; MacCabe, J.; McCarroll, S.; Baune, B.; Breen, G.; Byrne, E.; et al.
	2013	A pathway-based analysis provides additional support for an immune-related genetic susceptibility to Parkinsons disease	Holmans, P.; Moskvina, V.; Jones, L.; Sharma, M.; Vedernikov, A.; Buchel, F.; Sadd, M.; Bras, J.M.; Bettella, F.; Nicolaou, N.; Simon-Sanchez, J.; Mittag, F.; Gibbs, J.R.; Schulte, C.; Durr, A.; Guerreiro, R.; Hernandez, D.; Brice, A.; Stefansson, H.; Majamaa, K.; et al.
	2019	GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI	Alves, A.C.; De Silva, N.M.G.; Karhunen, V.; Sovio, U.; Das, S.; Rob Taal, H.; Warrington, N.M.; Lewin, A.M.; Kaakinen, M.; Cousminer, D.L.; Thiering, E.; Timpson, N.J.; Bond, T.A.; Lowry, E.; Brown, C.D.; Estivill, X.; Lindi, V.; Bradfield, J.P.; Geller, F.; Speed, D.; et al.
	2020	Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression	Craig, J.E.; Han, X.; Qassim, A.; Hassall, M.; Cooke Bailey, J.N.; Kinzy, T.G.; Khawaja, A.P.; An, J.; Marshall, H.; Gharahkhani, P.; Igo, R.P.; Graham, S.L.; Healey, P.R.; Ong, J.-S.; Zhou, T.; Siggs, O.; Law, M.H.; Souzeau, E.; Ridge, B.; Hysi, P.G.; et al.
	2020	A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank	Shen, X.; Howard, D.M.; Adams, M.J.; Hill, W.D.; Clarke, T.K.; Adams, M.J.; Clarke, T.K.; McIntosh, A.M.; Deary, I.J.; Wray, N.R.; Ripke, S.; Mattheisen, M.; Trzaskowski, M.; Byrne, E.M.; Abdellaoui, A.; Agerbo, E.; Air, T.M.; Andlauer, T.F.M.; Bacanu, S.A.; Bækvad-Hansen, M.; et al.
	2014	Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease	Nalls, M.A.; Pankratz, N.; Lill, C.M.; Do, C.B.; Hernandez, D.G.; Saad, M.; DeStefano, A.L.; Kara, E.; Bras, J.; Sharma, M.; Schulte, C.; Keller, M.F.; Arepalli, S.; Letson, C.; Edsall, C.; Stefansson, H.; Liu, X.; Pliner, H.; Lee, J.H.; Cheng, R.; et al.
	2013	Genetic variants associated with increased risk of malignant pleural mesothelioma: a genome-wide association study	Matullo, G.; Guarrera, S.; Betti, M.; Fiorito, G.; Ferrante, D.; Voglino, F.; Cadby, G.; Di Gaetano, C.; Rosa, F.; Russo, A.; Hirvonen, A.; Casalone, E.; Tunesi, S.; Padoan, M.; Giordano, M.; Aspesi, A.; Casadio, C.; Ardissone, F.; Ruffini, E.; Betta, P.; et al.; Miao, X.-P.
	2012	A genome-wide association search for type 2 diabetes genes in African Americans	Palmer, N.; McDonough, C.; Hicks, P.; Roh, B.; Wing, M.; Sandy An, S.; Hester, J.; Cooke, J.; Bostrom, M.; Rudock, M.; Talbert, M.; Lewis, J.; DIAGRAM Consortium,; MAGIC Consortium,; Ferrara, A.; Lu, L.; Ziegler, J.; Sale, M.; Divers, J.; Shriner, D.; et al.; Kronenberg, F.
	2018	A genome-wide association study of diabetic kidney disease in subjects with type 2 diabetes	Van Zuydam, N.R.; Ahlqvist, E.; Sandholm, N.; Deshmukh, H.; William Rayner, N.; Abdalla, M.; Ladenvall, C.; Ziemek, D.; Fauman, E.; Robertson, N.R.; McKeigue, P.M.; Valo, E.; Forsblom, C.; Harjutsalo, V.; Perna, A.; Rurali, E.; Loredana Marcovecchio, M.; Igo, R.P.; Salem, R.M.; Perico, N.; et al.