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Items: 1 to 20 of 67

1.

Transcriptome-wide association study identifies new candidate susceptibility genes for glioma.

Atkins I, Kinnersley B, Ostrom QT, Labreche K, Il'yasova D, Armstrong GN, Eckel-Passow JE, Schoemaker MJ, Nöthen MM, Barnholtz-Sloan JS, Swerdlow AJ, Simon M, Rajaraman P, Chanock SJ, Shildkraut J, Bernstein JL, Hoffmann P, Jöckel KH, Lai RK, Claus EB, Olson SH, Johansen C, Wrensch MR, Melin B, Jenkins RB, Sanson M, Bondy ML, Houlston RS.

Cancer Res. 2019 Feb 1. pii: canres.2888.2018. doi: 10.1158/0008-5472.CAN-18-2888. [Epub ahead of print]

PMID:
30709929
2.

Responsiveness and adaptability in community engaged biobanking research: experiences from a Hispanic community.

Mosavel M, Barker KL, Gardiner HM, Siminoff LA.

J Community Genet. 2019 Jan 4. doi: 10.1007/s12687-018-0397-x. [Epub ahead of print]

PMID:
30610570
3.

CHESS: a new human gene catalog curated from thousands of large-scale RNA sequencing experiments reveals extensive transcriptional noise.

Pertea M, Shumate A, Pertea G, Varabyou A, Breitwieser FP, Chang YC, Madugundu AK, Pandey A, Salzberg SL.

Genome Biol. 2018 Nov 28;19(1):208. doi: 10.1186/s13059-018-1590-2.

4.

An ontology-based method for assessing batch effect adjustment approaches in heterogeneous datasets.

Schmidt F, List M, Cukuroglu E, Köhler S, Göke J, Schulz MH.

Bioinformatics. 2018 Sep 1;34(17):i908-i916. doi: 10.1093/bioinformatics/bty553.

5.

A comprehensive overview of genomic imprinting in breast and its deregulation in cancer.

Goovaerts T, Steyaert S, Vandenbussche CA, Galle J, Thas O, Van Criekinge W, De Meyer T.

Nat Commun. 2018 Oct 8;9(1):4120. doi: 10.1038/s41467-018-06566-7. Review.

6.

Chromosome 17 Missing Proteins: Recent Progress and Future Directions as Part of the neXt-MP50 Challenge.

Siddiqui O, Zhang H, Guan Y, Omenn GS.

J Proteome Res. 2018 Oct 23. doi: 10.1021/acs.jproteome.8b00442. [Epub ahead of print]

PMID:
30280577
7.

Pan-cancer analysis of long non-coding RNA NEAT1 in various cancers.

Li S, Li J, Chen C, Zhang R, Wang K.

Genes Dis. 2017 Nov 21;5(1):27-35. doi: 10.1016/j.gendis.2017.11.003. eCollection 2018 Mar. Review.

8.

Histopathological Image QTL Discovery of Immune Infiltration Variants.

Barry JD, Fagny M, Paulson JN, Aerts HJWL, Platig J, Quackenbush J.

iScience. 2018 Jul 27;5:80-89. doi: 10.1016/j.isci.2018.07.001. Epub 2018 Jul 6.

9.

An analysis of aging-related genes derived from the Genotype-Tissue Expression project (GTEx).

Jia K, Cui C, Gao Y, Zhou Y, Cui Q.

Cell Death Discov. 2018 Aug 20;4:26. doi: 10.1038/s41420-018-0093-y. eCollection 2018.

10.

Modified penetrance of coding variants by cis-regulatory variation contributes to disease risk.

Castel SE, Cervera A, Mohammadi P, Aguet F, Reverter F, Wolman A, Guigo R, Iossifov I, Vasileva A, Lappalainen T.

Nat Genet. 2018 Sep;50(9):1327-1334. doi: 10.1038/s41588-018-0192-y. Epub 2018 Aug 20.

11.

Alzheimer's Disease Risk Variant rs2373115 Regulates GAB2 and NARS2 Expression in Human Brain Tissues.

Liu G, Wang T, Tian R, Hu Y, Han Z, Wang P, Zhou W, Ren P, Zong J, Jin S, Jiang Q.

J Mol Neurosci. 2018 Sep;66(1):37-43. doi: 10.1007/s12031-018-1144-9. Epub 2018 Aug 7.

PMID:
30088171
12.

A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk.

Lu Y, Beeghly-Fadiel A, Wu L, Guo X, Li B, Schildkraut JM, Im HK, Chen YA, Permuth JB, Reid BM, Teer JK, Moysich KB, Andrulis IL, Anton-Culver H, Arun BK, Bandera EV, Barkardottir RB, Barnes DR, Benitez J, Bjorge L, Brenton J, Butzow R, Caldes T, Caligo MA, Campbell I, Chang-Claude J, Claes KBM, Couch FJ, Cramer DW, Daly MB, deFazio A, Dennis J, Diez O, Domchek SM, Dörk T, Easton DF, Eccles DM, Fasching PA, Fortner RT, Fountzilas G, Friedman E, Ganz PA, Garber J, Giles GG, Godwin AK, Goldgar DE, Goodman MT, Greene MH, Gronwald J, Hamann U, Heitz F, Hildebrandt MAT, Høgdall CK, Hollestelle A, Hulick PJ, Huntsman DG, Imyanitov EN, Isaacs C, Jakubowska A, James P, Karlan BY, Kelemen LE, Kiemeney LA, Kjaer SK, Kwong A, Le ND, Leslie G, Lesueur F, Levine DA, Mattiello A, May T, McGuffog L, McNeish IA, Merritt MA, Modugno F, Montagna M, Neuhausen SL, Nevanlinna H, Nielsen FC, Nikitina-Zake L, Nussbaum RL, Offit K, Olah E, Olopade OI, Olson SH, Olsson H, Osorio A, Park SK, Parsons MT, Peeters PHM, Pejovic T, Peterlongo P, Phelan CM, Pujana MA, Ramus SJ, Rennert G, Risch H, Rodriguez GC, Rodríguez-Antona C, Romieu I, Rookus MA, Rossing MA, Rzepecka IK, Sandler DP, Schmutzler RK, Setiawan VW, Sharma P, Sieh W, Simard J, Singer CF, Song H, Southey MC, Spurdle AB, Sutphen R, Swerdlow AJ, Teixeira MR, Teo SH, Thomassen M, Tischkowitz M, Toland AE, Trichopoulou A, Tung N, Tworoger SS, van Rensburg EJ, Vanderstichele A, Vega A, Edwards DV, Webb PM, Weitzel JN, Wentzensen N, White E, Wolk A, Wu AH, Yannoukakos D, Zorn KK, Gayther SA, Antoniou AC, Berchuck A, Goode EL, Chenevix-Trench G, Sellers TA, Pharoah PDP, Zheng W, Long J.

Cancer Res. 2018 Sep 15;78(18):5419-5430. doi: 10.1158/0008-5472.CAN-18-0951. Epub 2018 Jul 27.

PMID:
30054336
13.

Systematic identification and annotation of multiple-variant compound effects at transcription factor binding sites in human genome.

Cheng SJ, Jiang S, Shi FY, Ding Y, Gao G.

J Genet Genomics. 2018 Jul 20;45(7):373-379. doi: 10.1016/j.jgg.2018.05.005. Epub 2018 Jul 7.

PMID:
30054217
14.

Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification.

Mamoshina P, Volosnikova M, Ozerov IV, Putin E, Skibina E, Cortese F, Zhavoronkov A.

Front Genet. 2018 Jul 12;9:242. doi: 10.3389/fgene.2018.00242. eCollection 2018.

15.

Signatures of photo-aging and intrinsic aging in skin were revealed by transcriptome network analysis.

Cho BA, Yoo SK, Seo JS.

Aging (Albany NY). 2018 Jul 18;10(7):1609-1626. doi: 10.18632/aging.101496.

16.

Long-range genomic regulators of THBS1 and LTBP4 modify disease severity in duchenne muscular dystrophy.

Weiss RB, Vieland VJ, Dunn DM, Kaminoh Y, Flanigan KM; United Dystrophinopathy Project.

Ann Neurol. 2018 Aug;84(2):234-245. doi: 10.1002/ana.25283. Epub 2018 Aug 25.

PMID:
30014611
17.

Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation.

Gamazon ER, Segrè AV, van de Bunt M, Wen X, Xi HS, Hormozdiari F, Ongen H, Konkashbaev A, Derks EM, Aguet F, Quan J; GTEx Consortium, Nicolae DL, Eskin E, Kellis M, Getz G, McCarthy MI, Dermitzakis ET, Cox NJ, Ardlie KG.

Nat Genet. 2018 Jul;50(7):956-967. doi: 10.1038/s41588-018-0154-4. Epub 2018 Jun 28.

18.

Development of a consensus approach for return of pathology incidental findings in the Genotype-Tissue Expression (GTEx) project.

Lockhart NC, Weil CJ, Carithers LJ, Koester SE, Little AR, Volpi S, Moore HM, Berkman BE.

J Med Ethics. 2018 Sep;44(9):643-645. doi: 10.1136/medethics-2017-104691. Epub 2018 Jun 14.

PMID:
29903854
19.

Association study of genetic variants in estrogen metabolic pathway genes and colorectal cancer risk and survival.

Li S, Xie L, Du M, Xu K, Zhu L, Chu H, Chen J, Wang M, Zhang Z, Gu D.

Arch Toxicol. 2018 May 16. doi: 10.1007/s00204-018-2195-y. [Epub ahead of print]

PMID:
29766219
20.

Consent to a Postmortem Tissue Procurement Study: Distinguishing Family Decision Makers' Knowledge of the Genotype-Tissue Expression Project.

Siminoff LA, Wilson-Genderson M, Gardiner HM, Mosavel M, Barker KL.

Biopreserv Biobank. 2018 May 10. doi: 10.1089/bio.2017.0115. [Epub ahead of print]

PMID:
29746160

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