The impact of network biology in pharmacology and toxicology

References

• Villoslada , P , Steinman , L and Baranzini , SE . 2009 . Systems biology and its application to the understanding of neurological diseases . Ann. Neurol. , 65 : 124 – 139 .
   PubMed Web of Science ®Google Scholar
• Wang , K , Le , I , Carlson , G , Hood , L and Galas , D . 2010 . Systems biology and the discovery of diagnostic biomarkers . Dis. Markers , 28 : 199 – 207 .
   PubMed Web of Science ®Google Scholar
• Chautard , E , Thierry-Mieg , N and Ricard-Blum , S . 2009 . Interaction networks: From protein functions to drug discovery. A review . Pathol. Biol. , 57 : 324 – 333 .
   PubMed Web of Science ®Google Scholar
• Berger , SI and Iyengar , R . 2009 . Network analyses in systems pharmacology . Bioinformatics , 25 : 2466 – 2472 .
   PubMed Web of Science ®Google Scholar
• Schadt , EE , Zhang , B and Zhu , J . 2009 . Advances in systems biology are enhancing our understanding of disease and moving us closer to novel disease treatments . Genetics , 136 : 259 – 269 .
   Google Scholar
• Iorio , F , Tagliaferri , R and di Bernardo , D . 2009 . Identifying network of drug mode of action by gene expression profiling . J. Comput. Biol. , 16 : 241 – 251 .
   PubMed Web of Science ®Google Scholar
• Li , J , Zhu , X and Chen , JY . 2009 . Building disease specific drug protein connectivity maps from molecular interaction networks and PubMed abstracts . PLoS Comput. Biol. , 5 : e1000450
   PubMed Web of Science ®Google Scholar
• Chen , B , Wild , D and Guha , R . 2009 . PubChem as a source of polypharmacology . J. Chem. Inf. Model. , 49 : 2044 – 2055 .
   PubMed Web of Science ®Google Scholar
• Chandra , N . 2009 . Computational systems approach for drug target discovery . Exp. Opin. Drug Discov. , 4 : 1221 – 1236 .
   PubMed Web of Science ®Google Scholar
• Pawson , T and Linding , R . 2008 . Network Medicine . FEBS Lett. , 582 : 1266 – 1270 .
   PubMed Web of Science ®Google Scholar
• Kutalik , Z , Beckmann , JS and Bergmann , S . 2008 . A modular approach for integrative analysis of large scale gene expression and drug response data . Nat. Biotechnol. , 26 : 531 – 539 .
   PubMed Web of Science ®Google Scholar
• Wu , Z , Zhao , XM and Chen , L . 2010 . A systems biology approach to identify effective cocktail drugs . BMC Syst. Biol. , 4 : 57 – 71 .
   PubMed Web of Science ®Google Scholar
• Schadt , EE , Friend , SH and Shaywitz , DA . 2009 . A network view of disease and compound screening . Nat. Rev. Drug Discov. , 8 : 286 – 295 .
   PubMed Web of Science ®Google Scholar
• Florez , AF , Park , D , Bhak , J , Kim , BC , Kuchinsky , A , Morris , JH , Espinosa , J and Muskus , C . 2010 . Protein network prediction and topological analysis in Leishmania major as a tool for drug discovery target selection . BMC Bioinformatics , 11 : 484 – 494 .
   PubMed Web of Science ®Google Scholar
• Chen , X , Xu , J , Huang , B , Li , J , Wu , X , Ma , L , Jia , X , Bian , X , Tan , F , Liu , L , Chen , S and Li , X . 2011 . A sub-pathway-based approach for identifying drug response principal network . Bioinformatics , 27 : 649 – 654 .
   PubMed Web of Science ®Google Scholar
• Iorio , F , Boscotti , R , Scacheri , E , Belcastro , V , Mithbaokar , P , Ferriero , R , Murino , L , Tagliaferri , R , Brunetti-Pierri , N , Isaachi , A and di Bernardo , D . 2010 . Discovery of drug mode of action and drug repositioning from transcriptional responses . Proc. Natl. Acad. Sci. U S A , 107 : 14621 – 14626 .
   PubMed Web of Science ®Google Scholar
• Van Vliet , E . 2011 . Current standing and future prospects for the technologies proposed to transform toxicity testing in the 21st century . ALTEX , 28 : 17 – 44 .
   PubMed Web of Science ®Google Scholar
• Morrow , JK , Tian , L and Zhang , S . 2010 . Molecular networks in drug discovery . Crit. Rev. Biomed. Eng. , 38 : 143 – 156 .
   PubMedGoogle Scholar
• Mendrick , DL . 2011 . Transcriptional profiling to identify biomarkers of disease and drug response . Pharmacogenomics , 12 : 235 – 249 .
   PubMed Web of Science ®Google Scholar
• Hartwell , LH , Hopfield , JJ , Leiber , S and Murray , AW . 1999 . From molecular to modular cell biology . Nature , 402 : 47 – 52 .
   PubMed Web of Science ®Google Scholar
• Sharan , R , Ulitsky , I and Shamir , R . 2007 . Network-based prediction of protein function . Mol. Syst. Biol. , 3 : 88
   PubMed Web of Science ®Google Scholar
• Graul , AI , Revel , L , Tell , M , Rosa , E and Cruces , E . 2010 . Overcoming the obstacles in the pharma-biotech industry: 2009 update . Drug News Perspect. , 23 : 48 – 63 .
   PubMed Web of Science ®Google Scholar
• Lahana , R . 2003 . Who wants to be irrational? . Drug Discov. Today , 8, : 655 – 656 .
   PubMed Web of Science ®Google Scholar
• Garnier , J . 2008 . Rebuilding the R&D engine in big pharma . Harvard Bus. Rev. , 86 : 68 – 76 .
   PubMed Web of Science ®Google Scholar
• Paul , SM , Mytelka , DS , Dunwiddie , CT , Persinger , CC , Munos , BH , Lindborg , SR and Schacht , AL . 2010 . How to improve R&D productivity: The pharmaceutical industry's grand challenge . Nat Rev. Drug Discov. , 9 : 203 – 214 .
   PubMed Web of Science ®Google Scholar
• Fox , S , Farr-Jones , S , Sopchak , L , Boggs , A , Nicely , HW , Khoury , R and Biros , M . 2006 . High throughput screening: Update on practices and success . J. Biomol. Screen. , 11 : 864 – 869 .
   PubMed Web of Science ®Google Scholar
• Bickle , M . 2010 . The beautiful cell: High content screening in drug discovery . Anal. Bioanal. Chem. , 398 : 219 – 226 .
   PubMed Web of Science ®Google Scholar
• Kool , J , Lingeman , H , Niessen , W and Irth , H . 2010 . High throughput screening methodologies classified for major drug target classes according to target signalling pathways . Comb. Chem. High Throughput Screen. , 13 : 548 – 561 .
   PubMed Web of Science ®Google Scholar
• Hajduk , PJ and Greer , J . 2007 . A decade of fragment based drug design: Strategic advances and lessons learned . Nat. Rev. Drug Discov. , 6 : 211 – 219 .
   PubMed Web of Science ®Google Scholar
• Michelini , E , Cevenini , L , Mezzanotte , L , Coppa , A and Roda , A . 2010 . Cell-based assays: Fuelling drug discovery . Anal. Bioanal. Chem. , 398 : 227 – 238 .
   PubMed Web of Science ®Google Scholar
• Crews , CM . 2010 . Targeting the undruggable proteome: The small molecules of my dreams . Chem. Biol. , 17 : 551 – 555 .
   PubMed Web of Science ®Google Scholar
• Coma , I , Clark , L , Diez , E , Harper , G , Herranz , J , Hofmann , G , Lennon , M , Richmond , N , Valmasea , M and Macarron , R . 2009 . Process validation and screen reproducibility in high throughput screening . J. Biomol. Screen. , 7 : 554 – 569 .
   Google Scholar
• Snowden , M and Green , DV . 2008 . The impact of diversity based high throughput screening on drug discovery: “chance favours the prepared mind” . Curr. Opin. Drug Discov. Devel. , 11 : 553 – 558 .
   PubMed Web of Science ®Google Scholar
• Mayr , LM and Bojanic , D . 2009 . Novel trends in high throughput screening . Curr. Opin. Pharmacol. , 9 : 580 – 588 .
   PubMed Web of Science ®Google Scholar
• Kaiser , J . 2008 . Industrial style screening meets academic biology . Science , 321 : 764 – 766 .
   PubMed Web of Science ®Google Scholar
• Silber , BM . 2010 . Driving drug discovery: The fundamental role of academic labs . Sci. Transl. Med, , 2 : 30 – 46 .
   Web of Science ®Google Scholar
• Wheeler , DL , Barrett , T , Benson , DA , Bryant , SH , Canese , K , Chetvernin , V , Church , DM , DiCuccion , M , Edgar , R , Federhen , S , Feolo , M , Geer , LY , Helmberg , W , Kapustin , Y , Khovayko , O , Landsman , D , Lipman , DJ , Madden , TL , Maglott , DR , Miller , V , Ostell , J , Pruitt , KD , Schuler , GD , Shumway , M , Sequeira , E , Sherry , ST , Sirotkin , K , Souvorov , A , Starchenko , G , Tatusov , GRL , Tatusova , TA , Wagner , L and Yaschenko , E . 2007 . Database resources of the National Center for Biotechnology Information . Nucleic Acid Res. , 35 : D5 – D12 .
   PubMed Web of Science ®Google Scholar
• Seiler , KP , George , GA , Happ , MP , Bodycombe , NE , Carrinski , HA , Norton , S , Brudz , S , Sullivan , JP , Muhlich , J , Serrano , M , Ferraiolo , P , Tolliday , NJ , Schreiber , SL and Clemons , PA . 2008 . Chembank: A small-molecule screening and chemoinformatics resource database . Nucleic Acid Res. , 36 : D351 – D359 .
   PubMed Web of Science ®Google Scholar
• Gaulton , A , Bellis , LJ , Bento , AP , Chambers , J , Davies , M , Hersey , A , Light , Y , McGlinchey , S , Michalovitch , D , Al-Lazikani , B and Overnigton , JP . ChEMBL: a large-scale bioactivity database for drug discovery, Nucleic Acids Res. (2011), Epub ahead of print
   Google Scholar
• Bellis , LJ , Akhtar , R , Al-Lazikani , B , Atkinson , F , Bento , AP , Chambers , J , Davies , M , Gaulton , A , Hersey , A , Ikeda , K , Krüger , FA , Light , Y , McGlinchey , S , Santos , R , Stauch , B and Overington , JP . 2011 . Collation and data-mining of literature bioactivity data for drug discovery . Biochem. Soc. Trans. , 39 : 1365 – 1370 .
   PubMed Web of Science ®Google Scholar
• Liu , T , Lin , Y , Wen , X , Jorissen , RN and Gilson , MK . 2007 . BindingDB: A web-accessible database of experimentally determined protein-ligand binding affinities . Nucleic Acids Res. , 35 : D198 – D201 .
   PubMed Web of Science ®Google Scholar
• Kanehisa , M , Goto , S , Hattori , M , Aoki-Kinoshita , KF , Itoh , M , Kawashima , S , Katayama , T , Araki , M and Hirakawa , M . 2006 . From genomics to chemical genomics: New developments in KEGG . Nucleic Acids Res. , 34 : 354 – 357 .
   PubMed Web of Science ®Google Scholar
• Kuhn , M , Campillos , M , Letunic , I , Jensen , LJ and Bork , P . 2010 . A side effect resource to capture phenotypic effects of drugs . Mol. Syst. Biol. , 6 : 343
   PubMed Web of Science ®Google Scholar
• Judson , R , Richard , A , Dix , D , Houck , K , Elloumi , F , Martin , M , Cathey , T , Transue , TR , Spencer , R and Wolf , M . 2008 . ACToR – Aggregated computational toxicology resource . Toxicol. Appl. Pharmacol. , 233 : 7 – 13 .
   PubMed Web of Science ®Google Scholar
• Dailymed, available at http://dailymed.nlm.nih.gov/dailymed/
   Google Scholar
• Toxnet, available at http://toxnet.nlm.nih.gov/
   Google Scholar
• Campillos , M , Kuhn , M , Gavin , AC , Jensen , LJ and Bork , P . 2008 . Drug target identification using side-effect similarity . Science , 321 : 263 – 266 .
   PubMed Web of Science ®Google Scholar
• Garcia-Serra , R and Mestres , J . 2010 . Anticipating drug side effects by comparative pharmacology . Expert Opin. Drug Metab. Toxicol. , 6 : 1253 – 1263 .
   PubMed Web of Science ®Google Scholar
• Pouliot , Y , Chiang , AP and Butte , AJ . 2011 . Predicting adverse drug reactions using publicly available PubChem bioassay data . Clin. Pharmacol. Ther. , 90 : 90 – 99 .
   PubMed Web of Science ®Google Scholar
• Smith , DA , Harrison , A and Morgan , P . 2011 . Multiple factors govern the association between pharmacology and toxicity in a class of drugs: Toward a unification of class effect terminology . Chem. Res. Toxicol. , 24 : 463 – 474 .
   PubMed Web of Science ®Google Scholar
• Elangbam , CS , Job , LE , Zadrozny , LM , Arton , JC , Yoon , LW , Gates , LD and Slocum , N . 2008 . 5-hydroxytryptamine (5HT)-induced valvulopathy: Compositional valvular alterations are associated with 5HT2B receptor and 5HT transporter transcript changes in Sprague-Dawley rats . Exp. Toxicol. Pathol. , 60 : 253 – 262 .
   PubMed Web of Science ®Google Scholar
• Oprea , TI , Nielsen , SK , Ursu , O , Yang , JJ , Taboureau , O , Mathias , SL , Kouskoumvekaki , I , Sklar , LA and Bologa , CG . 2011 . Associating drugs, targets and clinical outcomes into an integrated network affords a new platform for computer-aided drug repurposing . Mol. Inf. , 30 : 100 – 111 .
   PubMed Web of Science ®Google Scholar
• Schena , M , Shalon , D , Davis , RW and Brown , PO . 1995 . Quantitative monitoring of gene expression patterns with a complementary DNA microarray . Science , 270 : 467 – 470 .
   PubMed Web of Science ®Google Scholar
• Dennis , G , Sherman , BT , Hosack , DA , Yang , J , Gao , W , Lane , HC and Lempicki , RA . 2003 . DAVID: Database for annotation, visualization, and integrated discovery . Genom. Biol. , 4 : R60
   Web of Science ®Google Scholar
• Severgnini , M , Bicciato , S , Mangano , E , Scarlatti , F , Mezzelani , A , Mattioli , M , Ghidoni , R , Peano , C , Bonnal , R , Viti , F , Milanesi , L , De Bellis , G and Battaglia , C . 2006 . Strategies for comparing gene expression profiles from different microarray platforms: Application to a case-control experiment . Anal. Bio. Chem. , 353 : 43 – 56 .
   Google Scholar
• Barrett , T , Troup , DB , Wilhite , SE , Ledoux , P , Evangelista , C , Kim , IF , Tomashevsky , M , Marshall , KA , Phillippy , KH , Sherman , PM , Muertter , RN , Holko , M , Ayanbule , O , Yefanov , A and Soboleva , A . 2011 . NCBI GEO: Archive for functional genomics data sets-10 years now . Nucleic Acids Res. , 39 : D1005 – D1010 .
   PubMed Web of Science ®Google Scholar
• Baron , D , Dubois , E , Bihouee , A , Teusan , R , Steenman , M , Jourdon , P , Magot , A , Pereon , Y , Veitia , R , Savagner , F , Ramstein , G and Houlgatte , R . 2011 . Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns . BMC Genomics , 12 : 113
   PubMed Web of Science ®Google Scholar
• McCall , MN , Uppal , K , Jaffee , HA , Zilliox , MJ and Irizarry , RA . 2011 . The Gene Expression Barcode: Leveraging public data repositories to begin cataloging the human and murine transcriptomes . Nucleic Acids Res. , 39 : D1011 – D1015 .
   PubMed Web of Science ®Google Scholar
• Xiao , SJ , Zhang , C , Zou , Q and Ji , ZL . 2010 . TiSGeD: A database for tissue specific genes . Bioinformatics , 26 : 1273 – 1275 .
   PubMed Web of Science ®Google Scholar
• Vazquez , M , Nogales-Cadenas , R , Arroyo , J , Botias , P , Garcia , R , Carazo , JM , Tirado , F , Pascual-Montano , A and Carmona-Saez , P . 2010 . MARQ: An online tool to mine GEO for experiments with similar or opposite gene expression signatures . Nucleic Acids Res. , 38 : W228 – W232 .
   PubMed Web of Science ®Google Scholar
• Lamb , J , Crawford , ED , Peck , D , Modell , JW , Blat , IC , Wrobel , MJ , Lemer , J , Brunet , JP , Subramanian , A , Ross , KN , Reich , M , Hieronymous , H , Wei , G , Armstrong , SA , Lander , ES and Golub , TR . 2006 . The Connectivity Map: Using gene-expression signatures to connect small molecules, genes, and disease . Science , 313 : 1929 – 1935 .
   PubMed Web of Science ®Google Scholar
• Camon , E , Magrane , M , Barrell , D , Lee , V , Dimmer , E , Maslen , J , Binns , D , Harte , N , Lopez , R and Apweiler , R . 2004 . The gene ontology annotation (GOA) database – sharing knowledge in Uniprot with gene ontology . Nucleic Acids Res. , 32 : D262 – D266 .
   PubMed Web of Science ®Google Scholar
• Joshi-Tope , G , Gillespie , M , Vastrik , I , D’Eustachio , P , Schmidt , E , de Bono , B , Jassal , B , Gopinath , GR , Wu , GR , Matthews , L , Lewis , S , Birney , E and Stein , L . 2005 . Reactome: A knowledgebase of biological pathways . Nucleic Acids Res. , 33 : 428 – 432 .
   PubMed Web of Science ®Google Scholar
• Hamosh , A , Scott , AF , Amberger , JS , Bocchini , CA and McKusick , VA . 2005 . Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders . Nucleic Acids Res. , 33 : 514 – 517 .
   PubMed Web of Science ®Google Scholar
• Huang , DW , Sherman , BT and Lempicki , RA . 2009 . Bioinformatics enrichment tools: Paths toward the comprehensive functional analysis of large gene lists . Nucleic Acids Res. , 37 : 1 – 13 .
   PubMed Web of Science ®Google Scholar
• Kiyosawa , N , Ando , Y , Manabe , S and Yamoto , T . 2009 . Toxicogenomics biomarkers for liver toxicity . J. Toxicol. Pathol. , 22 : 35 – 52 .
   PubMed Web of Science ®Google Scholar
• Iskar , M , Campillos , M , Kuhn , M , Jensen , LJ , van Noort , V and Bork , P . 2010 . Drug-induced regulation of target expression . PLoS Comput. Biol. , 6 : e1000925
   PubMed Web of Science ®Google Scholar
• Nitsch , D , Tranchevent , LC , Goncalves , JP , Vogt , JK , Madeira , SC and Moreau , Y . 2011 . PINTA: A web server for network-based gene prioritization from expression data . Nucleic Acids. Res. , 39 : 334 – 338 .
   Web of Science ®Google Scholar
• Köhler , S , Bauer , S , Horn , D and Robinson , PN . 2008 . Walking the interactome for prioritization of candidate disease genes . Am. J. Hum. Genet. , 82 : 949 – 958 .
   PubMed Web of Science ®Google Scholar
• Tranchevent , LC , Capdevila , FB , Nitsch , D , De Moor , B , De Causmæcker , P and Moreau , Y . 2010 . A guide to web tools to prioritize candidate genes . Brief. Bioinf. , 12 : 22 – 32 .
   PubMed Web of Science ®Google Scholar
• Boverhof , DR and Zacharewski , TR . 2006 . Toxicogenomics in risk assessment: Applications and needs . Toxicol. Sci. , 89 : 352 – 360 .
   PubMed Web of Science ®Google Scholar
• Wilson , VS , Keshava , N , Hester , S , Segal , D , Chiu , W , Thompson , CM and Euling , SY . Utilizing toxicogenomics data to understand chemical mechanism of action in risk assessment, Toxicol. Appl. Pharmacol. (2011), Epub ahead of print
   Google Scholar
• Yildirim , MA , Goh , KI , Cusick , ME , Barabasi , AL and Vidal , M . 2007 . Drug-target network . Nat. Biotechnol. , 25 : 1119 – 1126 .
   PubMed Web of Science ®Google Scholar
• Kuhn , M , von Mering , C , Campillos , M , Jensen , LJ and Bork , P . 2008 . STITCH: Interaction networks, of chemicals and proteins . Nucleic Acids Res. , 36 : D684 – D688 .
   PubMed Web of Science ®Google Scholar
• Kuhn , M , Szlarczyk , D , Franceschini , A , Campillos , M , von Mering , C , Jensen , LJ , Beyer , A and Bork , P . 2010 . STITCH2: An interaction network database for small molecules and proteins . Nucleic Acids Res. , 38 : D552 – D556 .
   PubMed Web of Science ®Google Scholar
• von Mering , C , Jensen , LJ , Snel , B , Hooper , SD , krupp , M , Foglierini , M , jouffre , N , Huynen , MA and Bork , P . 2005 . STRING: Known and predicted protein-protein associations, integrated and transferred across organisms . Nucleic Acids Res. , 33 : D433 – D437 .
   PubMed Web of Science ®Google Scholar
• Taboureau , O , Nielsen , SK , Audouze , K , Weinhold , N , Edsgärd , D , Roque , FS , Kouskoumvekaki , I , Bora , A , Curpan , R , Jensen , TS , Brunak , S and Oprea , TI . 2011 . ChemProt: A disease chemical biology database . Nucleic Acids Res. , 39 : D367 – D372 .
   PubMed Web of Science ®Google Scholar
• Lage , K , Karlberg , EO , Størling , ZM , Olason , PI , Pedersen , AG , Rigina , O , Hinsby , AM , Tümer , Z , Pociot , F , Tommerup , N , Moreau , Y and Brunak , S . 2007 . A human phenome-interactome network of protein complexes implicated in genetic disorders . Nat. Biotechnol. , 25 : 309 – 316 .
   PubMed Web of Science ®Google Scholar
• Fernald , GH , Capriotti , E , Daneshjou , R , Karczewski , KJ and Altman , RB . 2011 . Bioinformatics challenges for personalized medicine . Bioinformatics , 27 : 1741 – 1748 .
   PubMed Web of Science ®Google Scholar
• Sherry , ST , Ward , MH , Kholodov , M , Baker , J , Phan , L , Smigielski , EM and Sirotkin , K . 2001 . dbSNP: The NCBI database of genetic variation . Nucleic Acids Res. , 29 : 308 – 311 .
   PubMed Web of Science ®Google Scholar
• Sayers , EW , Barrett , T , Benson , DA , Bolton , E , Bryant , SH , Canese , K , Chetvernin , V , Church , DM , Dicuccio , M , Federhen , S , Feolo , M , Fingerman , IM , Geer , LY , Helmberg , W , Kapustin , Y , Landsman , D , Lipman , DJ , Lu , Z , Madden , TL , Madej , T , Maglott , DR , Marchler-Bauer , A , Miller , V , Mizrachi , I , Ostell , J , Panchenko , A , Phan , L , Pruitt , KD , Schuler , GD , Sequeira , E , Sherry , ST , Shumway , M , Sirotkin , K , Slotta , D , Souvorov , A , Starchenko , G , Tatusova , TA , Wagner , L , Wang , Y , Wilbur , WJ , Yaschenko , E and Ye , J . 2011 . Database resources of the National Center for Biotechnology Information . Nucleic Acids Res. , 39 : 38 – 51 .
   PubMed Web of Science ®Google Scholar
• Levy , S , Sutton , G , Ng , PC , Feuk , L , Halpern , AL , Walenz , BP , Axelrod , N , Huang , J , Kirkness , EF , Denisov , G , Lin , Y , MacDonald , JR , Pang , AW , Shago , M , Stockwell , TB , Tsiamouri , A , Bafna , V , Bansal , V , Kravitz , SA , Busam , DA , Beeson , KY , McIntosh , TC , Remington , KA , Abril , JF , Gill , J , Borman , J , Rogers , YH , Frazier , ME , Scherer , SW , Strausberg , RL and Venter , JC . 2007 . The diploid genome sequence of an individual human . PLoS Biol. , 5 : e254
   PubMed Web of Science ®Google Scholar
• Hindorff , LA , Sethupathy , P , Junkins , HA , Ramos , EM , Mehta , JP , Collins , FS and Manolio , TA . 2009 . Potential etiologic and functional implications of genome-wide association loci for human diseases and traits . Proc. Natl. Acad. Sci. U S A , 106 : 9362 – 9367 .
   PubMed Web of Science ®Google Scholar
• Hansen , NT , Brunak , S and Altman , RB . 2009 . Generating genome-scale candidate gene lists for pharmacogenomics . Clin. Pharmacol Ther. , 86 : 183 – 189 .
   PubMed Web of Science ®Google Scholar
• Chen , L , Zhang , L , Zhao , Y , Xu , L , Shang , Y , Wang , Q , Li , W , Wang , H and Li , X . 2009 . Prioritizing risk pathways: A novel association approach to searching for disease pathways fusing SNPs and pathways . Bioinformatics , 25 : 237 – 242 .
   PubMed Web of Science ®Google Scholar
• O’Dushlaine , C , Kenny , E , Heron , EA , Segurado , R , Gill , M , Morris , DW and Corvin , A . 2009 . The SNP ratio test: Pathway analysis of genome-wide association datasets . Bioinformatics , 25 : 2762 – 2763 .
   PubMed Web of Science ®Google Scholar