Search


Current filters:


Start a new search
Add filters:

Use filters to refine the search results.


Results 1-10 of 26 (Search time: 0.004 seconds).
Item hits:
PreviewIssue DateTitleAuthor(s)
2017Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traitsJustice, 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.
2018Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selectionPardiñas, 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.
2013A pathway-based analysis provides additional support for an immune-related genetic susceptibility to Parkinsons diseaseHolmans, 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.
2019GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMIAlves, 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.
2020Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progressionCraig, 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.
2020Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK BiobankColeman, J.R.I.; Peyrot, W.J.; Purves, K.L.; Davis, K.A.S.; Rayner, C.; Choi, S.W.; Hübel, C.; Gaspar, H.A.; Kan, C.; Van der Auwera, S.; Adams, M.J.; Lyall, D.M.; Choi, K.W.; Wray, N.R.; Ripke, S.; Mattheisen, M.; Trzaskowski, M.; Byrne, E.M.; Abdellaoui, A.; Adams, M.J.; et al.
2020A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK BiobankShen, 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.
2020Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensitiesArmstrong, N.J.; Mather, K.A.; Sargurupremraj, M.; Knol, M.J.; Malik, R.; Satizabal, C.L.; Yanek, L.R.; Wen, W.; Gudnason, V.G.; Dueker, N.D.; Elliott, L.T.; Hofer, E.; Hofer, E.; Bis, J.; Jahanshad, N.; Li, S.; Logue, M.A.; Logue, M.A.; Luciano, M.; Scholz, M.; et al.
2014Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's diseaseNalls, 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.
2012Refinement of the associations between risk of colorectal cancer and polymorphisms on chromosomes 1q41 and 12q13.13Spain, S.; Carvajal-Carmona, L.; Howarth, K.; Jones, A.; Su, Z.; Cazier, J.; Williams, J.; Aaltonen, L.; Pharoah, P.; Kerr, D.; Cheadle, J.; Li, L.; Casey, G.; Vodicka, P.; Sieber, O.; Lipton, L.; Gibbs, P.; Martin, N.; Montgomery, G.; Young, J.; et al.