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Results 1-10 of 38 (Search time: 0.005 seconds).
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PreviewIssue DateTitleAuthor(s)
2017Increased genomic prediction accuracy in wheat breeding using a large Australian panelTaylor, J.D.; Norman, A.; Tanaka, E.; Telfer, P.; Edwards, J.; Martinant, J.P.; Kuchel, H.
2013Common variants in mendelian kidney disease genes and their association with renal functionParsa, A.; Fuchsberger, C.; Köttgen, A.; O'Seaghdha, C.; Pattaro, C.; De Andrade, M.; Chasman, D.; Teumer, A.; Endlich, K.; Olden, M.; Chen, M.; Tin, A.; Kim, Y.; Taliun, D.; Li, M.; Feitosa, M.; Gorski, M.; Yang, Q.; Hundertmark, C.; Foster, M.; et al.
2016Role of genetic susceptibility variants in predicting clinical course in multiple sclerosis: A cohort studyPan, G.; Simpson, S.; van der Mei, I.; Charlesworth, J.C.; Lucas, R.; Ponsonby, A.L.; Zhou, Y.; Wu, F.; Taylor, B.V.; Dear, K.; Dwyer, T.; Blizzard, L.; Broadley, S.; Kilpatrick, T.; Williams, D.; Lechner-Scott, J.; Shaw, C.; Chapman, C.; Coulthard, A.; Valery, P.
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.
2017Mapping complex traits in a diversity outbred f1 mouse population identifies germline modifiers of metastasis in human prostate cancerWinter, J.; Gildea, D.; Andreas, J.; Gatti, D.; Williams, K.; Lee, M.; Hu, Y.; Zhang, S.; Mullikin, J.; Wolfsberg, T.; McDonnell, S.; Fogarty, Z.; Larson, M.; French, A.; Schaid, D.; Thibodeau, S.; Churchill, G.; Crawford, N.
2011Association analysis of frost tolerance in rye using candidate genes and phenotypic data from controlled, semi-controlled, and field phenotyping platformsLi, Y.; Böck, A.; Haseneyer, G.; Korzun, V.; Wilde, P.; Schön, C.-C.; Ankerst, D.; Bauer, E.
2012Association of genetic loci with sleep apnea in European Americans and African-Americans: the Candidate Gene Association resource (CARe)Patel, S.; Goodloe, R.; De, G.; Kowgier, M.; Weng, J.; Buxbaum, S.; Cade, B.; Fulop, T.; Gharib, S.; Gottlieb, D.; Hillman, D.; Larkin, E.; Lauderdale, D.; Li, L.; Mukherjee, S.; Palmer, L.; Zee, P.; Zhu, X.; Redline, S.; Esteban, F.J.
2015Integrating image-based phenomics and association analysis to dissect the genetic architecture of temporal salinity responses in riceCampbell, M.; Knecht, A.; Berger, B.; Brien, C.; Wang, D.; Walia, H.
2009Analyses of associations with asthma in four asthma population samples from Canada and AustraliaDaly, D.; Lemire, M.; Akhabir, L.; Chan-Yeung, M.; He, J.; McDonald, T.; Stanford, A.; Stefanowicz, D.; Tripp, B.; Zamar, D.; Bosse, Y.; Ferretti, V.; Montpetit, A.; Tessier, M.; Becker, A.; Kozyrskyj, A.; Beilby, J.; McCaskie, P.; Musk, A.; Warrington, N.; et al.
2009Sequence variants in three loci influence monocyte counts and erythrocyte volumeFerreira, M.; Hottenga, J.; Warrington, N.; Medland, S.; Willemsen, G.; Lawrence, R.; Gordon, S.; de Geus, E.; Henders, A.; Smit, J.; Campbell, M.; Wallace, L.; Evans, D.; Wright, M.; Nyholt, D.; James, A.; Beilby, J.; Penninx, B.; Palmer, L.; Frazer, I.; et al.