guhjy's gwa [at least 200 articles] Export

Recent papers added to guhjy's library classified by the tag gwa. You can also see everyone's gwa.

	Ranking of genome-wide association scan signals by different measures [My Copy] In Int. J. Epidemiol., Vol. 38, No. 5. (1 October 2009), pp. 1364-1373. by Ulf Stromberg, Jonas Bjork, Paolo Vineis, Karin Broberg, Eleftheria Zeggini posted to stats gwa by guhjy on 2009-12-05 08:41:47 as
	Functional annotations of diabetes nephropathy susceptibility loci through analysis of genome-wide renal gene expression in rat models of diabetes mellitus. [My Copy] BMC medical genomics, Vol. 2, No. 1. (9 July 2009) by Yaomin Hu, Pamela J. Kaisaki, Karène Argoud, et al.Steven P. Wilder, Karin J. Wallace, Peng Y. Woon, Christine Blancher, Lise Tarnow, Per-Henrik H. Groop, Samy Hadjadj, Michel Marre, Hans-Henrik H. Parving, Martin Farrall, Roger D. Cox, Mark Lathrop, Nathalie Vionnet, Marie-Thérèse T. Bihoreau, Dominique Gauguier posted to rat gwa genetics dn by guhjy on 2009-12-01 08:13:11 as along with 1 person Terkko
	SpringerProtocols: Abstract: Whole Genome-Wide Association Study Using Affymetrix SNP Chip: A Two-Stage Sequential Selection Method to Identify Genes That Increase the Risk of Developing Complex Diseases [My Copy] posted to ma gwa book affy by guhjy on 2009-11-29 00:08:33 as
	ATRIUM: Testing Untyped SNPs in Case-Control Association Studies with Related Individuals [My Copy] The American Journal of Human Genetics, Vol. 85, No. 5. (13 November 2009), pp. 667-678. by Zuoheng Wang,, Mary a. r. a. McPeek, posted to software snp hapmap gwa by guhjy on 2009-11-28 15:41:06 as along with 1 person qayub
	Genome-Wide Association Study in Humans [My Copy] Cardiovascular Genomics (2009), pp. 231-258. by J. Gustav Smith, Christopher Newton-Cheh posted to gwa book by guhjy on 2009-11-26 15:23:11 as
	Novel insights into the etiology of diabetes from genome-wide association studies. [My Copy] Diabetes, Vol. 58, No. 11. (November 2009), pp. 2444-2447. by Colin N. Palmer posted to gwa dm by guhjy on 2009-11-24 04:55:53 as
	Genome-wide linkage analysis of serum creatinine in three isolated European populations [My Copy] Kidney International, Vol. 76, No. 3. (22 April 2009), pp. 297-306. by Cristian Pattaro, Yurii S. Aulchenko, Aaron Isaacs, et al.Veronique Vitart, Caroline Hayward, Christopher S. Franklin, Ozren Polasek, Ivana Kolcic, Zrinka Biloglav, Susan Campbell, Nick Hastie, Gordan Lauc, Thomas Meitinger, Ben A. Oostra, Ulf Gyllensten, James F. Wilson, Irene Pichler, Andrew A. Hicks, Harry Campbell, Alan F. Wright, Igor Rudan, Cornelia M. van Duijn, Peter Riegler, Fabio Marroni, Peter P. Pramstaller posted to gwa genetics ckd by guhjy on 2009-11-18 15:04:11 as
	Needles in the Haystack: Identifying Individuals Present in Pooled Genomic Data [My Copy] PLoS Genet, Vol. 5, No. 10. (2 October 2009), e1000668. by Rosemary Braun, William Rowe, Carl Schaefer, Jinghui Zhang, Kenneth Buetow posted to pooling gwa by guhjy on 2009-10-20 10:11:10 as along with 3 people and 1 group kimorley Geknitics merpublic Journal picks
	On quality control measures in genome-wide association studies: a test to assess the genotyping quality of individual probands in family-based association studies and an application to the HapMap data. [My Copy] PLoS genetics, Vol. 5, No. 7. (24 July 2009), e1000572. by David W. Fardo, Iuliana Ionita-Laza, Christoph Lange posted to qc gwa by guhjy on 2009-10-07 03:05:37 as along with 2 people rdiaz pkonings
	Using New Tools to Define the Genetic Underpinnings of Risky Traits Associated With Coronary Artery Disease: The SardiNIA Study [My Copy] Trends in Cardiovascular Medicine, Vol. 19, No. 3. (April 2009), pp. 69-75. by James B. Strait, Manuela Uda, Edward G. Lakatta, Samer S. Najjar posted to gwa cv by guhjy on 2009-10-07 03:05:08 as
	Genome Mapping Statistics and Bioinformatics [My Copy] Topics in Biostatistics (2007), pp. 461-488. by Josyf C. Mychaleckyj posted to stats gwa by guhjy on 2009-10-06 05:23:09 as along with 1 person druvus
	Variable selection and dependency networks for genomewide data. [My Copy] Biostatistics (Oxford, England), Vol. 10, No. 4. (1 October 2009), pp. 621-639. by Adrian Dobra posted to model-selection gwa by guhjy on 2009-10-06 03:37:22 as along with 3 people megraw rdiaz sotacam
	Genome-wide linkage scans for type 2 diabetes mellitus in four ethnically diverse populations - significant evidence for linkage on chromosome 4q in African Americans: the Family Investigation of Nephropathy and Diabetes Research Group [My Copy] Diabetes/Metabolism Research and Reviews, Vol. 9999, No. 9999. (2009), n/a. by Alka Malhotra, Robert P. Igo, Farook Thameem, et al.W. H. Linda Kao, Hanna E. Abboud, Sharon G. Adler, Nedal H. Arar, Donald W. Bowden, Ravindranath Duggirala, Barry I. Freedman, Katrina A. B. Goddard, Eli Ipp, Sudha K. Iyengar, Paul L. Kimmel, William C. Knowler, Orly Kohn, David Leehey, Lucy A. Meoni, Robert G. Nelson, Susanne B. Nicholas, Rulan S. Parekh, Stephen S. Rich, Yii-Der I. Chen, Mohammed F. Saad, Marina Scavini, Jeffrey R. Schelling, John R. Sedor, Vallabh O. Shah, Kent D. Taylor, Denyse Thornley-Brown, Philip G. Zager, Amanda Horvath, Robert L. Hanson, on behalf of the Family Investigation of Nephropathy and Diabetes Research Group posted to gwa genetics dn by guhjy on 2009-10-03 15:45:27 as
	A Bayesian approach to efficient differential allocation for resampling-based significance testing. [My Copy] BMC bioinformatics, Vol. 10, No. 1. (2009), 198. by Shane T. Jensen, Sameer Soi, Li-San S. Wang posted to r multiplicity ma gwa bs bayes by guhjy on 2009-09-29 05:06:02 as along with 8 people and 1 group enelkinsan jfr rdiaz ptrobajo sotacam sameersoi jmeppley erexhepa Bioinformatics
	PBEAM: A parallel implementation of BEAM for genome-wide inference of epistatic interactions. [My Copy] Bioinformation, Vol. 3, No. 8. (2009), pp. 349-351. by Tao Peng, Pufeng Du, Yanda Li posted to software gwa epistasis by guhjy on 2009-09-23 01:54:05 as
	A variant near MTNR1B is associated with increased fasting plasma glucose levels and type 2 diabetes risk. [My Copy] Nature genetics, Vol. 41, No. 1. (07 January 2009), pp. 89-94. by Nabila Bouatia-Naji, Amélie Bonnefond, Christine Cavalcanti-Proença, et al.Thomas Sparsø, Johan Holmkvist, Marion Marchand, Jérôme Delplanque, Stéphane Lobbens, Ghislain Rocheleau, Emmanuelle Durand, Franck De Graeve, Jean-Claude C. Chèvre, Knut Borch-Johnsen, Anna-Liisa L. Hartikainen, Aimo Ruokonen, Jean Tichet, Michel Marre, Jacques Weill, Barbara Heude, Maithé Tauber, Katleen Lemaire, Frans Schuit, Paul Elliott, Torben Jørgensen, Guillaume Charpentier, Samy Hadjadj, Stéphane Cauchi, Martine Vaxillaire, Robert Sladek, Sophie Visvikis-Siest, Beverley Balkau, Claire Lévy-Marchal, François Pattou, David Meyre, Alexandra I. Blakemore, Marjo-Riita R. Jarvelin, Andrew J. Walley, Torben Hansen, Christian Dina, Oluf Pedersen, Philippe Froguel posted to gwa genetics dm by guhjy on 2009-09-07 03:33:48 as along with 1 person booker
	Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. [My Copy] Nature genetics, Vol. 41, No. 2. (18 February 2009), pp. 157-159. by David Meyre, Jérôme Delplanque, Jean-Claude C. Chèvre, et al.Cécile Lecoeur, Stéphane Lobbens, Sophie Gallina, Emmanuelle Durand, Vincent Vatin, Franck Degraeve, Christine Proença, Stefan Gaget, Antje Körner, Peter Kovacs, Wieland Kiess, Jean Tichet, Michel Marre, Anna-Liisa L. Hartikainen, Fritz Horber, Natascha Potoczna, Serge Hercberg, Claire Levy-Marchal, François Pattou, Barbara Heude, Maithé Tauber, Mark I. McCarthy, Alexandra I. Blakemore, Alexandre Montpetit, Constantin Polychronakos, Jacques Weill, Lachlan J. Coin, Julian Asher, Paul Elliott, Marjo-Riitta R. Järvelin, Sophie Visvikis-Siest, Beverley Balkau, Rob Sladek, David Balding, Andrew Walley, Christian Dina, Philippe Froguel posted to obesity mc4r gwa fto by guhjy on 2009-09-07 03:33:00 as
	Genome-wide association database developed in the Japanese Integrated Database Project. [My Copy] Journal of human genetics (24 July 2009) by Asako Koike, Nao Nishida, Ituro Inoue, Shoji Tsuji, Katsushi Tokunaga posted to db gwa japan japangwa by guhjy on 2009-08-09 14:20:33 as along with 1 person misonneh
	A combined strategy for quantitative trait loci detection by genome-wide association. [My Copy] BMC proceedings, Vol. 3 Suppl 1 (2009) by Alex C. Lam, Joseph Powell, Wen-Hua H. Wei, Dirk-Jan J. de Koning, Chris S. Haley posted to gwa qtl by guhjy on 2009-08-09 05:50:20 as
	Multiple testing in genome-wide association studies via hidden Markov models [My Copy] Bioinformatics, Vol. 25, No. 21. (1 November 2009), pp. 2802-2808. by Zhi Wei, Wenguang Sun, Kai Wang, Hakon Hakonarson posted to gwa hmm multiplicity by guhjy on 2009-08-09 05:43:22 as along with 6 people and 1 group ppgardne djkt WJWilson rdiaz pkonings jmeppley Journal picks
	Statistical power of model selection strategies for genome-wide association studies. [My Copy] PLoS genetics, Vol. 5, No. 7. (31 July 2009), e1000582. by Zheyang Wu, Hongyu Zhao posted to r power gwa by guhjy on 2009-08-09 05:40:57 as along with 5 people and 1 group rdiaz Zephyrus pkonings kimorley djkt Journal picks
	Shrinkage estimation for robust and efficient screening of single-SNP association from case-control genome-wide association studies [My Copy] Genetic Epidemiology, Vol. 9999, No. 9999. (11 May 2009), n/a. by Sheng Luo, Bhramar Mukherjee, Jinbo Chen, Nilanjan Chatterjee posted to gwa stats by guhjy on 2009-07-22 05:49:42 as along with 1 person rab016
	Genome-wide association study of alcohol dependence. [My Copy] Archives of general psychiatry, Vol. 66, No. 7. (July 2009), pp. 773-784. by Jens Treutlein, Sven Cichon, Monika Ridinger, et al.Norbert Wodarz, Michael Soyka, Peter Zill, Wolfgang Maier, Rainald Moessner, Wolfgang Gaebel, Norbert Dahmen, Christoph Fehr, Norbert Scherbaum, Michael Steffens, Kerstin U. Ludwig, Josef Frank, H. Erich Wichmann, Stefan Schreiber, Nico Dragano, Wolfgang H. Sommer, Fernando Leonardi-Essmann, Anbarasu Lourdusamy, Peter Gebicke-Haerter, Thomas F. Wienker, Patrick F. Sullivan, Markus M. Nöthen, Falk Kiefer, Rainer Spanagel, Karl Mann, Marcella Rietschel posted to alcohol gwa by guhjy on 2009-07-22 05:31:31 as along with 1 person daforerog
	A genome-wide association study primer for clinicians. [My Copy] Taiwanese journal of obstetrics & gynecology, Vol. 48, No. 2. (June 2009), pp. 89-95. by T. H. Wang, H. S. Wang posted to gwa review tw by guhjy on 2009-07-22 05:11:53 as
	Genome-wide association studies and the genetic dissection of complex traits. [My Copy] American journal of hematology, Vol. 84, No. 8. (16 August 2009), pp. 504-515. by Paola Sebastiani, Nadia Timofeev, Daniel A. Dworkis, Thomas T. Perls, Martin H. Steinberg posted to gwa by guhjy on 2009-07-22 05:11:06 as
	Finding common susceptibility variants for complex disease: past, present and future. [My Copy] Briefings in functional genomics & proteomics, Vol. 8, No. 5. (1 September 2009), pp. 345-352. by Kalliope Panoutsopoulou, Eleftheria Zeggini posted to genetics gwa rare by guhjy on 2009-07-22 05:01:22 as along with 1 person daforerog
	Gene and pathway-based second-wave analysis of genome-wide association studies [My Copy] Eur J Hum Genet (8 July 2009) by Gang Peng, Li Luo, Hoicheong Siu, et al.Yun Zhu, Pengfei Hu, Shengjun Hong, Jinying Zhao, Xiaodong Zhou, John D. Reveille, Li Jin, Christopher I. Amos, Momiao Xiong posted to gwa pathway by guhjy on 2009-07-20 03:44:36 as along with 3 people psique daforerog buyske
	Gene prioritization based on biological plausibility over genome wide association studies renders new loci associated with type 2 diabetes. [My Copy] Genetics in medicine : official journal of the American College of Medical Genetics, Vol. 11, No. 5. (May 2009), pp. 338-343. by S. Sookoian, T. F. Gianotti, M. Schuman, C. J. Pirola posted to dm gwa by guhjy on 2009-07-20 03:17:02 as along with 1 person daforerog
	Meta-analysis in genome-wide association studies. [My Copy] Pharmacogenomics, Vol. 10, No. 2. (February 2009), pp. 191-201. by Eleftheria Zeggini, John P. Ioannidis posted to gwa meta-analysis by guhjy on 2009-07-20 02:59:16 as along with 1 person daforerog
	Genome-wide allele- and strand-specific expression profiling. [My Copy] Molecular systems biology, Vol. 5 (16 June 2009) by Julien Gagneur, Himanshu Sinha, Fabiana Perocchi, Richard Bourgon, Wolfgang Huber, Lars M. Steinmetz posted to eqtl gwa by guhjy on 2009-07-20 02:53:57 as along with 5 people and 1 group sebastien_vigneau natstreet dswan leliavski fenghezi Bioinformatics
	A Robust Genome-Wide Scan Statistic of the Wellcome Trust Case-Control Consortium. [My Copy] Biometrics (7 May 2009) by Jungnam Joo, Minjung Kwak, Kwangmi Ahn, Gang Zheng posted to dataset gwa by guhjy on 2009-07-19 05:20:04 as along with 1 person buyske
	Avoiding the high Bonferroni penalty in genome-wide association studies. [My Copy] Genetic epidemiology (11 May 2009) by Xiaoyi Gao, Lewis C. Becker, Diane M. Becker, Joshua D. Starmer, Michael A. Province posted to stats multiplicity gwa by guhjy on 2009-07-19 05:19:56 as along with 3 people PabloMarin daforerog turnersd
	Genomewide association studies--illuminating biologic pathways. [My Copy] The New England journal of medicine, Vol. 360, No. 17. (23 April 2009), pp. 1699-1701. by J. N. Hirschhorn posted to gwa pathway review by guhjy on 2009-07-19 05:18:52 as along with 3 people psique jbhiatt misonneh
	Genome-wide association studies in pharmacogenomics: untapped potential for translation. [My Copy] Genome medicine, Vol. 1, No. 4. (2009) by Idris Guessous, Marta Gwinn, Muin J. Khoury posted to gwa pharmacogenetics by guhjy on 2009-07-18 10:33:23 as
	New insights into the aetiology of colorectal cancer from genome-wide association studies. [My Copy] Nature reviews. Genetics, Vol. 10, No. 6. (12 May 2009), pp. 353-358. by Albert Tenesa, Malcolm G. Dunlop posted to cancer gwa by guhjy on 2009-07-18 10:32:33 as along with 1 person colmryan
	Harnessing the information contained within genome-wide association studies to improve individual prediction of complex disease risk [My Copy] Hum. Mol. Genet., Vol. 18, No. 18. (15 September 2009), pp. 3525-3531. by David M. Evans, Peter M. Visscher, Naomi R. Wray posted to gwa by guhjy on 2009-07-18 10:30:15 as along with 1 person pkonings
	Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 106, No. 23. (9 June 2009), pp. 9362-9367. by Lucia A. Hindorff, Praveen Sethupathy, Heather A. Junkins, et al.Erin M. Ramos, Jayashri P. Mehta, Francis S. Collins, Teri A. Manolio posted to gwa website by guhjy on 2009-07-18 10:29:12 as along with 7 people misonneh liqbbi rdiaz zufar daforerog pkonings jsatkosk
	Interrogating type 2 diabetes genome-wide association data using a biological pathway-based approach. [My Copy] Diabetes, Vol. 58, No. 6. (June 2009), pp. 1463-1467. by John R. Perry, Mark I. McCarthy, Andrew T. Hattersley, et al.Eleftheria Zeggini, Wellcome Trust Case Control Consortium, Michael N. Weedon, Timothy M. Frayling posted to pathway gwa genetics dm by guhjy on 2009-07-08 16:51:21 as along with 1 person daed
	Evaluation of genome-wide association study results through development of ontology fingerprints [My Copy] Bioinformatics, Vol. 25, No. 10. (15 May 2009), pp. 1314-1320. by Lam C. Tsoi, Michael Boehnke, Richard L. Klein, W. Jim Zheng posted to go gwa by guhjy on 2009-07-05 05:15:00 as along with 2 people humburg rdiaz
	Genome-wide association analysis by lasso penalized logistic regression [My Copy] Bioinformatics, Vol. 25, No. 6. (15 March 2009), pp. 714-721. by Tong T. Wu, Yi F. Chen, Trevor Hastie, Eric Sobel, Kenneth Lange posted to gwa lasso lr by guhjy on 2009-06-24 03:53:04 as along with 2 people jessopher rdiaz
	Estimating the posterior probability that genome-wide association findings are true or false [My Copy] Bioinformatics, Vol. 25, No. 14. (15 July 2009), pp. 1807-1813. by Jozsef Bukszar, Joseph L. McClay, Edwin J. C. G. van den Oord posted to fdr gwa by guhjy on 2009-06-24 03:45:23 as along with 3 people zufar nklee djkt
	What will genome wide association studies mean to the clinical endocrinologist? [My Copy] The Journal of clinical endocrinology and metabolism (5 May 2009) by Mark I. McCarthy posted to gwa by guhjy on 2009-06-24 03:44:34 as
	SNPinfo: integrating GWAS and candidate gene information into functional SNP selection for genetic association studies [My Copy] Nucl. Acids Res., Vol. 37, No. suppl_2. (1 July 2009), pp. W600-605. by Zongli Xu, Jack A. Taylor posted to association candidate-gene function gwa snp by guhjy on 2009-06-24 03:41:56 as along with 7 people Zephyrus songpku daed misonneh psique jdbowes daforerog
	Using genome-wide pathway analysis to unravel the etiology of complex diseases. [My Copy] Genetic epidemiology, Vol. 33, No. 5. (July 2009), pp. 419-431. by Clara C. Elbers, Kristel R. van Eijk, Lude Franke, et al.Flip Mulder, Yvonne T. van der Schouw, Cisca Wijmenga, N. Charlotte Onland-Moret posted to dm gwa pathway by guhjy on 2009-06-24 03:41:09 as along with 7 people and 1 group shikin daed thomaskelder ptrobajo AlexanderPico jdbowes pkonings ConklinLab
	Gene set-based analysis of polymorphisms: finding pathways or biological processes associated to traits in genome-wide association studies. [My Copy] Nucleic acids research, Vol. 37, No. Web Server issue. (1 July 2009), pp. W340-344. by Ignacio Medina, David Montaner, Nuria Bonifaci, et al.Miguel Angel A. Pujana, José Carbonell, Joaquin Tarraga, Fatima Al-Shahrour, Joaquin Dopazo posted to gsea gwa pathway snp gene-list by guhjy on 2009-06-24 03:36:00 as along with 6 people shikin zufar daed ptrobajo daforerog kimorley
	Genome-wide association studies, field synopses, and the development of the knowledge base on genetic variation and human diseases. [My Copy] American journal of epidemiology, Vol. 170, No. 3. (1 August 2009), pp. 269-279. by Muin J. Khoury, Lars Bertram, Paolo Boffetta, et al.Adam S. Butterworth, Stephen J. Chanock, Siobhan M. Dolan, Isabel Fortier, Montserrat Garcia-Closas, Marta Gwinn, Julian P. Higgins, A. Cecile Janssens, James Ostell, Ryan P. Owen, Roberta A. Pagon, Timothy R. Rebbeck, Nathaniel Rothman, Jonine L. Bernstein, Paul R. Burton, Harry Campbell, Anand Chockalingam, Helena Furberg, Julian Little, Thomas R. O'Brien, Daniela Seminara, Paolo Vineis, Deborah M. Winn, Wei Yu, John P. Ioannidis posted to gwa stats by guhjy on 2009-06-24 03:32:11 as along with 7 people and 3 groups Geknitics Zephyrus gderwin qayub daforerog misonneh kimorley Journal picks Roswell Cancer Crosstalk MGEL Reading
	Designing genome-wide association studies: sample size, power, imputation, and the choice of genotyping chip. [My Copy] PLoS genetics, Vol. 5, No. 5. (15 May 2009), e1000477. by Chris C. Spencer, Zhan Su, Peter Donnelly, Jonathan Marchini posted to design gwa imputation ma power r by guhjy on 2009-06-24 03:18:47 as along with 13 people and 2 groups Geknitics Zephyrus rdiaz psique natstreet PabloMarin xingxu sandfire daforerog reyez bertrandservin djkt giovanni Roswell Cancer Crosstalk Journal picks
	Marker selection for genetic case-control association studies. [My Copy] Nature protocols, Vol. 4, No. 5. (2009), pp. 743-752. by F. H. Pettersson, C. A. Anderson, G. M. Clarke, et al.J. C. Barrett, L. R. Cardon, A. P. Morris, K. T. Zondervan posted to genetics gwa snp tag-snp by guhjy on 2009-06-24 03:16:38 as along with 2 people arsyed daforerog
	Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies. [My Copy] BMC genetics, Vol. 10, No. 1. (16 June 2009), 27. by Ke Hao, Eugene Chudin, Joshua McElwee, Eric E. Schadt posted to gwa imputation by guhjy on 2009-06-24 03:15:50 as along with 2 people rdiaz jdbowes
	Synergy Disequilibrium Plots: graphical visualization of pairwise synergies and redundancies of SNPs with respect to a phenotype. [My Copy] Bioinformatics (Oxford, England), Vol. 25, No. 11. (1 June 2009), pp. 1445-1446. by John Watkinson, Dimitris Anastassiou posted to gwa matlab phenotype snp by guhjy on 2009-06-24 03:11:03 as

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ckd	1736
rct	1199
dn	1078
dm	999
cancer	990
ma	970
cv	907
hd	856
tgfb	791
snp	760
bp	636
ros	571
meta-analysis	515
uae	498
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kidney	473
software	462
mouse	455
genetics	446
mirna	444
pt	417
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mortality	408
inflammation	363
fbl	359
rat	356
proteinuria	355
pcr	348
tw	345
acei	330
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db	326
test	325
inhibitor	318
urine	315
arb	313
method	311
ms	310
apoptosis	302
mc	300
hcv	300
age	298
r	292
aging	287
biomarker	285
irs	280
akt	277
bias	277
ppi	276
bayes	275
mtor	268
gwa	268
aki	266
aii	261
hg	258
nutrition	255
emt	242
rnai	242
ub	237
fibrosis	231
p53	231
egfr	231
cox	226
smad	221
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pi3k	216
metab	212
drug	212
hcc	210
gn	208
1	205
hypoxia	204
herb	197
erk	191
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lc	185
collagen	182
hif	179
longitudinal	179
lmm	178
nfkb	176
stz	176
gfr	174
ua	170
pubmed	170
epigenetics	169
japan	165
bioinf	164
p38	163
gender	162
cea	161
power	161
lead	159
rage	159
cadmium	158
dna-damage	157
ref	154
genomics	148
stata	147
vitamin-d	146
ctgf	144
network	143
liver	138
book	137
screening	137
company	135
rt	135
diet	133
seq	132
phosphorylation	129
protein	128
go	125
pathway	124
systems-biology	124
cell-cycle	123
kinase	122
no	121
mt	120
pkc	117
lipid	117
esrd	117
creatinine	115
statin	114
s6k	111
senescence	106
proliferation	106
podocyte	105
mapk	104
regression	103
fish	103
case-control	102
pd	102
gfr-formula	102
imputation	101
multiplicity	100
cad	100
imaging	99
plasmid	97
rx	97
insulin	97
cloning	96
observational	96
pediatric	95
p21	95
methylation	95
recurrent	94
sirt	93
blood	92
betel	91
nhanes	90
nox	90
tnf	90
pparg	89
website	89
chf	88
toxicology	88
phenotype	88
src	87
diagnosis	87
cytokine	87
anemia	87
immunity	86
lr	86
uti	85
stat	85
at1	84
china	83
epo	82
p	81
nonp	81
oat	81
environment	80
cachexia	80
hapmap	80
ebm	79
ca	79
hypertrophy	79
gout	78
primer	78
qms	77
review	75
autophagy	73
gene-therapy	73
promoter	73
missing	73
surrogate	72
gene-list	72
stone	72
eqtl	72
ko	72
lpd	72
signaling	71
ace	71
mv	71
salt	70
phd	69
p-value	69
egf	69
cox2	68
uncertainty	66
mgo	66
tin	65
chinese	65
mirna-target	65
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association	64
glycemia	63
enddysf	63
2dge	63
acid-base	63
foxo	63
yeast	63
causation	63
gpcr	62
jnk	62
simulation	62
me	62
smoking	62
pla2	61
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hts	61
ptm	61
sas	60
melamine	60
change	60
uuo	60
pe	60
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avf	60
oral	59
infection	59
ifn	59
cost	59
eif	59
shc	59
mmp	58
crp	58
alcohol	58
llcpk1	58
urate-transporter	57
pls	57
pai1	57
model-selection	57
achr	57
fluorescence	57
robust	57
nrk49f	57
hk2	56
semantic	56
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hsp	56
aceiarb	56
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goldstd	55
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tf	49
epistasis	49
gene-environment	49
antibiotics	49
hsc	49
ab	49
ffpe	48
nrk52e	48
ukm	48
breakpoint	48
core-curriculum	48
klotho	48
pld	48
ngal	47
mesangial	47
pooling	47
spot-urine	47
endothelium	47
joint-model	47
4ebp	47
ecm	46
dub	46
p27	46
protein-microarray	46
aspirin	46
fdr	46
hgf	46
translation	46
il6	46
cystatin	46
hdac	46
fgf23	45
metal	45
prevention	45
semip	45
aldosterone	45
rapamycin	45
wnt	45
writing	45
interaction	44
ras	44
variability	44
ancova	44
biosensor	44
cnv	43
na	43
design	43
sle	43
enos	43
bia	43
ccb	43
klf	43
icu	42
roc	42
sumo	42
agreement	42
bmi	42
good	42
er-stress	41
stroke	41
tgfbr	41
diuretics	41
alignment	40
igf	40
gene-targeting	40
wga	40
qtl	40
risk	40
ampk	40
fuzzy	40
dbdb	40
hepatocyte	39
urinalysis	39
dry-bw	39
hyperfiltration	39
myc	38
asia	38
igan	38
protein-complex	38
ap1	38
sage	38
tea	38
angiogenesis	37
animal	37
propensity	37
hematuria	37
antisense	37
tlr	37
haplotype	37
fabp	37
adh	37
mtorc1	37
rvh	37
bh4	37
catenin	36
inflammasome	36
adenosine	36
emr	36
web20	36
rsk	36
cardiorenal	36
megalin	36
omics	36
annotation	35
gsk	35
s100b	35
adduct	35
chemogenomics	35
candidate-gene	35
threshold	35
subgroup	35
cre	35
proteasome	35
effect-size	34
coffee	34
sepsis	34
calcification	34
reverse-epidemiology	34
attrition	34
pathology	34
cross-species	34
msm	34
rca	33
snx	33
sp1	33
ecology	33
integrin	33
cage	33
ns	33
fibronectin	33
zeb	33
exercise	33
sarcopenia	33
nephrotoxicity	33
orbitrap	32
end-point	32
il1	32
text-mining	32
zfn	32
browser	32
addgene	32
affy	32
heritability	31
fc	31
vsmc	31
steroid	31
blast	31
frailty	31
transactivation	31
family	31
gllamm	31
macrophage	31
set	31
hospitalization	31
emsa	31
risk-difference	31
rtk	31
irs1	30
bmp	30
staging	30
knockout	30
transporter	30
membrane-protein	30
silac	30
notch	30
mw	30
creb	30
abp	30
carcinogen	30
perindopril	29
et	29
pka	29
3	29
ai	29
extraction	29
virus	29
nicotinic	29
s100	29
grn	29
validation	29
nutrient	29
reporter	29
race	28
geo	28
ub-ligase	28
mutagenesis	28
scaling	28
acetylation	28
time-dependent	28
gee	28
pdz	27
human	27
ce	27
mendelian	27
thesis	27
spla2	27
cari	27
ck2	27
classification	27
ndrd	27
mtorc2	26
agt	26
hba1c	26
gsh	26
hyaluronan	26
peptide-microarray	26
thp	26
metagenomics	26
renin	26

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