 Connection
Casey Greene to Genome-Wide Association Study
This is a "connection" page, showing publications Casey Greene has written about Genome-Wide Association Study.
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Connection Strength |
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1.161 |
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Greene CS, Sinnott-Armstrong NA, Himmelstein DS, Park PJ, Moore JH, Harris BT. Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS. Bioinformatics. 2010 Mar 01; 26(5):694-5.
Score: 0.219
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Greene CS, Penrod NM, Williams SM, Moore JH. Failure to replicate a genetic association may provide important clues about genetic architecture. PLoS One. 2009 Jun 02; 4(6):e5639.
Score: 0.210
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Cousminer DL, Wagley Y, Pippin JA, Elhakeem A, Way GP, Pahl MC, McCormack SE, Chesi A, Mitchell JA, Kindler JM, Baird D, Hartley A, Howe L, Kalkwarf HJ, Lappe JM, Lu S, Leonard ME, Johnson ME, Hakonarson H, Gilsanz V, Shepherd JA, Oberfield SE, Greene CS, Kelly A, Lawlor DA, Voight BF, Wells AD, Zemel BS, Hankenson KD, Grant SFA. Genome-wide association study implicates novel loci and reveals candidate effector genes for longitudinal pediatric bone accrual. Genome Biol. 2021 01 04; 22(1):1.
Score: 0.117
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Liu Y, Huang J, Urbanowicz RJ, Chen K, Manduchi E, Greene CS, Moore JH, Scheet P, Chen Y. Embracing study heterogeneity for finding genetic interactions in large-scale research consortia. Genet Epidemiol. 2020 01; 44(1):52-66.
Score: 0.108
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Yao X, Yan J, Liu K, Kim S, Nho K, Risacher SL, Greene CS, Moore JH, Saykin AJ, Shen L. Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinformatics. 2017 Oct 15; 33(20):3250-3257.
Score: 0.094
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Way GP, Youngstrom DW, Hankenson KD, Greene CS, Grant SF. Implicating candidate genes at GWAS signals by leveraging topologically associating domains. Eur J Hum Genet. 2017 11; 25(11):1286-1289.
Score: 0.093
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Qian DC, Byun J, Han Y, Greene CS, Field JK, Hung RJ, Brhane Y, Mclaughlin JR, Fehringer G, Landi MT, Rosenberger A, Bickeb?ller H, Malhotra J, Risch A, Heinrich J, Hunter DJ, Henderson BE, Haiman CA, Schumacher FR, Eeles RA, Easton DF, Seminara D, Amos CI. Identification of shared and unique susceptibility pathways among cancers of the lung, breast, and prostate from genome-wide association studies and tissue-specific protein interactions. Hum Mol Genet. 2015 Dec 20; 24(25):7406-20.
Score: 0.082
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Cordell HJ, Han Y, Mells GF, Li Y, Hirschfield GM, Greene CS, Xie G, Juran BD, Zhu D, Qian DC, Floyd JA, Morley KI, Prati D, Lleo A, Cusi D, Gershwin ME, Anderson CA, Lazaridis KN, Invernizzi P, Seldin MF, Sandford RN, Amos CI, Siminovitch KA. International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways. Nat Commun. 2015 Sep 22; 6:8019.
Score: 0.081
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Greene CS, Krishnan A, Wong AK, Ricciotti E, Zelaya RA, Himmelstein DS, Zhang R, Hartmann BM, Zaslavsky E, Sealfon SC, Chasman DI, FitzGerald GA, Dolinski K, Grosser T, Troyanskaya OG. Understanding multicellular function and disease with human tissue-specific networks. Nat Genet. 2015 Jun; 47(6):569-76.
Score: 0.079
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Tan J, Ung M, Cheng C, Greene CS. Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders. Pac Symp Biocomput. 2015; 132-43.
Score: 0.077
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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