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Results: 1 to 20 of 87

Cited In for PubMed (Select 19361613)

1.

Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests.

Nguyen TT, Huang J, Wu Q, Nguyen T, Li M.

BMC Genomics. 2015;16 Suppl 2:S5. doi: 10.1186/1471-2164-16-S2-S5. Epub 2015 Jan 21.

2.

A multiancestral genome-wide exome array study of Alzheimer disease, frontotemporal dementia, and progressive supranuclear palsy.

Chen JA, Wang Q, Davis-Turak J, Li Y, Karydas AM, Hsu SC, Sears RL, Chatzopoulou D, Huang AY, Wojta KJ, Klein E, Lee J, Beekly DL, Boxer A, Faber KM, Haase CM, Miller J, Poon WW, Rosen A, Rosen H, Sapozhnikova A, Shapira J, Varpetian A, Foroud TM, Levenson RW, Levey AI, Kukull WA, Mendez MF, Ringman J, Chui H, Cotman C, DeCarli C, Miller BL, Geschwind DH, Coppola G.

JAMA Neurol. 2015 Apr 1;72(4):414-22. doi: 10.1001/jamaneurol.2014.4040.

PMID:
25706306
3.

Identifying genetic interactions associated with late-onset Alzheimer's disease.

Floudas CS, Um N, Kamboh MI, Barmada MM, Visweswaran S.

BioData Min. 2014 Dec 19;7(1):35. doi: 10.1186/s13040-014-0035-z. eCollection 2014.

4.

Dissecting gene expression at the blood-brain barrier.

Huntley MA, Bien-Ly N, Daneman R, Watts RJ.

Front Neurosci. 2014 Nov 6;8:355. doi: 10.3389/fnins.2014.00355. eCollection 2014. Review.

5.

FASTKD2 is associated with memory and hippocampal structure in older adults.

Ramanan VK, Nho K, Shen L, Risacher SL, Kim S, McDonald BC, Farlow MR, Foroud TM, Gao S, Soininen H, Kłoszewska I, Mecocci P, Tsolaki M, Vellas B, Lovestone S, Aisen PS, Petersen RC, Jack CR Jr, Shaw LM, Trojanowski JQ, Weiner MW, Green RC, Toga AW, De Jager PL, Yu L, Bennett DA, Saykin AJ.

Mol Psychiatry. 2014 Nov 11. doi: 10.1038/mp.2014.142. [Epub ahead of print]

PMID:
25385369
6.

Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins.

Postmus I, Trompet S, Deshmukh HA, Barnes MR, Li X, Warren HR, Chasman DI, Zhou K, Arsenault BJ, Donnelly LA, Wiggins KL, Avery CL, Griffin P, Feng Q, Taylor KD, Li G, Evans DS, Smith AV, de Keyser CE, Johnson AD, de Craen AJ, Stott DJ, Buckley BM, Ford I, Westendorp RG, Slagboom PE, Sattar N, Munroe PB, Sever P, Poulter N, Stanton A, Shields DC, O'Brien E, Shaw-Hawkins S, Chen YD, Nickerson DA, Smith JD, Dubé MP, Boekholdt SM, Hovingh GK, Kastelein JJ, McKeigue PM, Betteridge J, Neil A, Durrington PN, Doney A, Carr F, Morris A, McCarthy MI, Groop L, Ahlqvist E; Welcome Trust Case Control Consortium, Bis JC, Rice K, Smith NL, Lumley T, Whitsel EA, Stürmer T, Boerwinkle E, Ngwa JS, O'Donnell CJ, Vasan RS, Wei WQ, Wilke RA, Liu CT, Sun F, Guo X, Heckbert SR, Post W, Sotoodehnia N, Arnold AM, Stafford JM, Ding J, Herrington DM, Kritchevsky SB, Eiriksdottir G, Launer LJ, Harris TB, Chu AY, Giulianini F, MacFadyen JG, Barratt BJ, Nyberg F, Stricker BH, Uitterlinden AG, Hofman A, Rivadeneira F, Emilsson V, Franco OH, Ridker PM, Gudnason V, Liu Y, Denny JC, Ballantyne CM, Rotter JI, Adrienne Cupples L, Psaty BM, Palmer CN, Tardif JC, Colhoun HM, Hitman G, Krauss RM, Wouter Jukema J, Caulfield MJ.

Nat Commun. 2014 Oct 28;5:5068. doi: 10.1038/ncomms6068.

7.

A meta-analysis of gene expression quantitative trait loci in brain.

Kim Y, Xia K, Tao R, Giusti-Rodriguez P, Vladimirov V, van den Oord E, Sullivan PF.

Transl Psychiatry. 2014 Oct 7;4:e459. doi: 10.1038/tp.2014.96.

8.

Variation in the oxytocin receptor gene is associated with increased risk for anxiety, stress and depression in individuals with a history of exposure to early life stress.

Myers AJ, Williams L, Gatt JM, McAuley-Clark EZ, Dobson-Stone C, Schofield PR, Nemeroff CB.

J Psychiatr Res. 2014 Dec;59:93-100. doi: 10.1016/j.jpsychires.2014.08.021. Epub 2014 Sep 16.

PMID:
25262417
9.

Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche.

Perry JR, Day F, Elks CE, Sulem P, Thompson DJ, Ferreira T, He C, Chasman DI, Esko T, Thorleifsson G, Albrecht E, Ang WQ, Corre T, Cousminer DL, Feenstra B, Franceschini N, Ganna A, Johnson AD, Kjellqvist S, Lunetta KL, McMahon G, Nolte IM, Paternoster L, Porcu E, Smith AV, Stolk L, Teumer A, Tšernikova N, Tikkanen E, Ulivi S, Wagner EK, Amin N, Bierut LJ, Byrne EM, Hottenga JJ, Koller DL, Mangino M, Pers TH, Yerges-Armstrong LM, Hua Zhao J, Andrulis IL, Anton-Culver H, Atsma F, Bandinelli S, Beckmann MW, Benitez J, Blomqvist C, Bojesen SE, Bolla MK, Bonanni B, Brauch H, Brenner H, Buring JE, Chang-Claude J, Chanock S, Chen J, Chenevix-Trench G, Collée JM, Couch FJ, Couper D, Coviello AD, Cox A, Czene K, D'adamo AP, Davey Smith G, De Vivo I, Demerath EW, Dennis J, Devilee P, Dieffenbach AK, Dunning AM, Eiriksdottir G, Eriksson JG, Fasching PA, Ferrucci L, Flesch-Janys D, Flyger H, Foroud T, Franke L, Garcia ME, García-Closas M, Geller F, de Geus EE, Giles GG, Gudbjartsson DF, Gudnason V, Guénel P, Guo S, Hall P, Hamann U, Haring R, Hartman CA, Heath AC, Hofman A, Hooning MJ, Hopper JL, Hu FB, Hunter DJ, Karasik D, Kiel DP, Knight JA, Kosma VM, Kutalik Z, Lai S, Lambrechts D, Lindblom A, Mägi R, Magnusson PK, Mannermaa A, Martin NG, Masson G, McArdle PF, McArdle WL, Melbye M, Michailidou K, Mihailov E, Milani L, Milne RL, Nevanlinna H, Neven P, Nohr EA, Oldehinkel AJ, Oostra BA, Palotie A, Peacock M, Pedersen NL, Peterlongo P, Peto J, Pharoah PD, Postma DS, Pouta A, Pylkäs K, Radice P, Ring S, Rivadeneira F, Robino A, Rose LM, Rudolph A, Salomaa V, Sanna S, Schlessinger D, Schmidt MK, Southey MC, Sovio U, Stampfer MJ, Stöckl D, Storniolo AM, Timpson NJ, Tyrer J, Visser JA, Vollenweider P, Völzke H, Waeber G, Waldenberger M, Wallaschofski H, Wang Q, Willemsen G, Winqvist R, Wolffenbuttel BH, Wright MJ; Australian Ovarian Cancer Study; GENICA Network; kConFab; LifeLines Cohort Study; InterAct Consortium; Early Growth Genetics (EGG) Consortium, Boomsma DI, Econs MJ, Khaw KT, Loos RJ, McCarthy MI, Montgomery GW, Rice JP, Streeten EA, Thorsteinsdottir U, van Duijn CM, Alizadeh BZ, Bergmann S, Boerwinkle E, Boyd HA, Crisponi L, Gasparini P, Gieger C, Harris TB, Ingelsson E, Järvelin MR, Kraft P, Lawlor D, Metspalu A, Pennell CE, Ridker PM, Snieder H, Sørensen TI, Spector TD, Strachan DP, Uitterlinden AG, Wareham NJ, Widen E, Zygmunt M, Murray A, Easton DF, Stefansson K, Murabito JM, Ong KK.

Nature. 2014 Oct 2;514(7520):92-7. doi: 10.1038/nature13545. Epub 2014 Jul 23.

10.

Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.

Li MD, Burns TC, Morgan AA, Khatri P.

Acta Neuropathol Commun. 2014 Sep 4;2:93. doi: 10.1186/s40478-014-0093-y.

11.

Genetic variability in the regulation of gene expression in ten regions of the human brain.

Ramasamy A, Trabzuni D, Guelfi S, Varghese V, Smith C, Walker R, De T; UK Brain Expression Consortium; North American Brain Expression Consortium, Coin L, de Silva R, Cookson MR, Singleton AB, Hardy J, Ryten M, Weale ME.

Nat Neurosci. 2014 Oct;17(10):1418-28. doi: 10.1038/nn.3801. Epub 2014 Aug 31.

12.

Genetics of gene expression in CNS.

Pandey AK, Williams RW.

Int Rev Neurobiol. 2014;116:195-231. doi: 10.1016/B978-0-12-801105-8.00008-4. Review.

13.

Integrating transcriptomics with metabolic modeling predicts biomarkers and drug targets for Alzheimer's disease.

Stempler S, Yizhak K, Ruppin E.

PLoS One. 2014 Aug 15;9(8):e105383. doi: 10.1371/journal.pone.0105383. eCollection 2014.

14.

Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases.

Narayanan M, Huynh JL, Wang K, Yang X, Yoo S, McElwee J, Zhang B, Zhang C, Lamb JR, Xie T, Suver C, Molony C, Melquist S, Johnson AD, Fan G, Stone DJ, Schadt EE, Casaccia P, Emilsson V, Zhu J.

Mol Syst Biol. 2014 Jul 30;10:743. doi: 10.15252/msb.20145304.

15.

Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations.

Ganesh SK, Chasman DI, Larson MG, Guo X, Verwoert G, Bis JC, Gu X, Smith AV, Yang ML, Zhang Y, Ehret G, Rose LM, Hwang SJ, Papanicolau GJ, Sijbrands EJ, Rice K, Eiriksdottir G, Pihur V, Ridker PM, Vasan RS, Newton-Cheh C; Global Blood Pressure Genetics Consortium, Raffel LJ, Amin N, Rotter JI, Liu K, Launer LJ, Xu M, Caulfield M, Morrison AC, Johnson AD, Vaidya D, Dehghan A, Li G, Bouchard C, Harris TB, Zhang H, Boerwinkle E, Siscovick DS, Gao W, Uitterlinden AG, Rivadeneira F, Hofman A, Willer CJ, Franco OH, Huo Y, Witteman JC, Munroe PB, Gudnason V, Palmas W, van Duijn C, Fornage M, Levy D, Psaty BM, Chakravarti A.

Am J Hum Genet. 2014 Jul 3;95(1):49-65. doi: 10.1016/j.ajhg.2014.06.002. Epub 2014 Jun 26.

16.

Gene-wide analysis detects two new susceptibility genes for Alzheimer's disease.

Escott-Price V, Bellenguez C, Wang LS, Choi SH, Harold D, Jones L, Holmans P, Gerrish A, Vedernikov A, Richards A, DeStefano AL, Lambert JC, Ibrahim-Verbaas CA, Naj AC, Sims R, Jun G, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thornton-Wells TA, Denning N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Schmidt H, Kunkle B, Dunstan ML, Vronskaya M; United Kingdom Brain Expression Consortium, Johnson AD, Ruiz A, Bihoreau MT, Reitz C, Pasquier F, Hollingworth P, Hanon O, Fitzpatrick AL, Buxbaum JD, Campion D, Crane PK, Baldwin C, Becker T, Gudnason V, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Hernández I, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MJ, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuinness B, Larson EB, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, George-Hyslop PS, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Garcia FS, Fox NC, Hardy J, Naranjo MC, Bosco P, Clarke R, Brayne C, Galimberti D, Scarpini E, Bonuccelli U, Mancuso M, Siciliano G, Moebus S, Mecocci P, Zompo MD, Maier W, Hampel H, Pilotto A, Frank-García A, Panza F, Solfrizzi V, Caffarra P, Nacmias B, Perry W, Mayhaus M, Lannfelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH Jr, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RF, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JS, Boerwinkle E, Riemenschneider M, Boada M, Hiltunen M, Martin ER, Schmidt R, Rujescu D, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Haines JL, Lathrop M, Pericak-Vance MA, Launer LJ, Van Broeckhoven C, Farrer LA, van Duijn CM, Ramirez A, Seshadri S, Schellenberg GD, Amouyel P, Williams J; Cardiovascular Health Study (CHS).

PLoS One. 2014 Jun 12;9(6):e94661. doi: 10.1371/journal.pone.0094661. eCollection 2014.

17.

Overlap of expression quantitative trait loci (eQTL) in human brain and blood.

McKenzie M, Henders AK, Caracella A, Wray NR, Powell JE.

BMC Med Genomics. 2014 Jun 3;7:31. doi: 10.1186/1755-8794-7-31.

18.

Genomic convergence and network analysis approach to identify candidate genes in Alzheimer's disease.

Talwar P, Silla Y, Grover S, Gupta M, Agarwal R, Kushwaha S, Kukreti R.

BMC Genomics. 2014 Mar 15;15:199. doi: 10.1186/1471-2164-15-199.

19.

Gene-centric meta-analysis in 87,736 individuals of European ancestry identifies multiple blood-pressure-related loci.

Tragante V, Barnes MR, Ganesh SK, Lanktree MB, Guo W, Franceschini N, Smith EN, Johnson T, Holmes MV, Padmanabhan S, Karczewski KJ, Almoguera B, Barnard J, Baumert J, Chang YP, Elbers CC, Farrall M, Fischer ME, Gaunt TR, Gho JM, Gieger C, Goel A, Gong Y, Isaacs A, Kleber ME, Mateo Leach I, McDonough CW, Meijs MF, Melander O, Nelson CP, Nolte IM, Pankratz N, Price TS, Shaffer J, Shah S, Tomaszewski M, van der Most PJ, Van Iperen EP, Vonk JM, Witkowska K, Wong CO, Zhang L, Beitelshees AL, Berenson GS, Bhatt DL, Brown M, Burt A, Cooper-DeHoff RM, Connell JM, Cruickshanks KJ, Curtis SP, Davey-Smith G, Delles C, Gansevoort RT, Guo X, Haiqing S, Hastie CE, Hofker MH, Hovingh GK, Kim DS, Kirkland SA, Klein BE, Klein R, Li YR, Maiwald S, Newton-Cheh C, O'Brien ET, Onland-Moret NC, Palmas W, Parsa A, Penninx BW, Pettinger M, Vasan RS, Ranchalis JE, M Ridker P, Rose LM, Sever P, Shimbo D, Steele L, Stolk RP, Thorand B, Trip MD, van Duijn CM, Verschuren WM, Wijmenga C, Wyatt S, Young JH, Zwinderman AH, Bezzina CR, Boerwinkle E, Casas JP, Caulfield MJ, Chakravarti A, Chasman DI, Davidson KW, Doevendans PA, Dominiczak AF, FitzGerald GA, Gums JG, Fornage M, Hakonarson H, Halder I, Hillege HL, Illig T, Jarvik GP, Johnson JA, Kastelein JJ, Koenig W, Kumari M, März W, Murray SS, O'Connell JR, Oldehinkel AJ, Pankow JS, Rader DJ, Redline S, Reilly MP, Schadt EE, Kottke-Marchant K, Snieder H, Snyder M, Stanton AV, Tobin MD, Uitterlinden AG, van der Harst P, van der Schouw YT, Samani NJ, Watkins H, Johnson AD, Reiner AP, Zhu X, de Bakker PI, Levy D, Asselbergs FW, Munroe PB, Keating BJ.

Am J Hum Genet. 2014 Mar 6;94(3):349-60. doi: 10.1016/j.ajhg.2013.12.016. Epub 2014 Feb 20.

20.

Functionally enigmatic genes: a case study of the brain ignorome.

Pandey AK, Lu L, Wang X, Homayouni R, Williams RW.

PLoS One. 2014 Feb 11;9(2):e88889. doi: 10.1371/journal.pone.0088889. eCollection 2014.

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