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Items: 1 to 20 of 100

1.

Association of HLA Genetic Risk Burden With Disease Phenotypes in Multiple Sclerosis.

Isobe N, Keshavan A, Gourraud PA, Zhu AH, Datta E, Schlaeger R, Caillier SJ, Santaniello A, Lizée A, Himmelstein DS, Baranzini SE, Hollenbach J, Cree BA, Hauser SL, Oksenberg JR, Henry RG.

JAMA Neurol. 2016 May 31. doi: 10.1001/jamaneurol.2016.0980. [Epub ahead of print]

PMID:
27244296
2.

Meta-analysis of genome-wide association studies reveals genetic overlap between Hodgkin lymphoma and multiple sclerosis.

Khankhanian P, Cozen W, Himmelstein DS, Madireddy L, Din L, van den Berg A, Matsushita T, Glaser SL, Moré JM, Smedby KE, Baranzini SE, Mack TM, Lizée A, de Sanjosé S, Gourraud PA, Nieters A, Hauser SL, Cocco P, Maynadié M, Foretová L, Staines A, Delahaye-Sourdeix M, Li D, Bhatia S, Melbye M, Onel K, Jarrett R, McKay JD, Oksenberg JR, Hjalgrim H.

Int J Epidemiol. 2016 Mar 12. pii: dyv364. [Epub ahead of print]

3.

iCTNet2: integrating heterogeneous biological interactions to understand complex traits.

Wang L, Himmelstein DS, Santaniello A, Parvin M, Baranzini SE.

Version 2. F1000Res. 2015 Aug 5 [revised 2015 Sep 28];4:485. doi: 10.12688/f1000research.6836.2. eCollection 2015.

4.

Assessing the Power of Exome Chips.

Page CM, Baranzini SE, Mevik BH, Bos SD, Harbo HF, Andreassen BK.

PLoS One. 2015 Oct 5;10(10):e0139642. doi: 10.1371/journal.pone.0139642. eCollection 2015.

5.

A non-synonymous single-nucleotide polymorphism associated with multiple sclerosis risk affects the EVI5 interactome.

Didonna A, Isobe N, Caillier SJ, Li KH, Burlingame AL, Hauser SL, Baranzini SE, Patsopoulos NA, Oksenberg JR.

Hum Mol Genet. 2015 Dec 15;24(24):7151-8. doi: 10.1093/hmg/ddv412. Epub 2015 Oct 3.

PMID:
26433934
6.

Class II HLA interactions modulate genetic risk for multiple sclerosis.

Moutsianas L, Jostins L, Beecham AH, Dilthey AT, Xifara DK, Ban M, Shah TS, Patsopoulos NA, Alfredsson L, Anderson CA, Attfield KE, Baranzini SE, Barrett J, Binder TM, Booth D, Buck D, Celius EG, Cotsapas C, D'Alfonso S, Dendrou CA, Donnelly P, Dubois B, Fontaine B, Lar Fugger L, Goris A, Gourraud PA, Graetz C, Hemmer B, Hillert J; International IBD Genetics Consortium (IIBDGC), Kockum I, Leslie S, Lill CM, Martinelli-Boneschi F, Oksenberg JR, Olsson T, Oturai A, Saarela J, Søndergaard HB, Spurkland A, Taylor B, Winkelmann J, Zipp F, Haines JL, Pericak-Vance MA, Spencer CC, Stewart G, Hafler DA, Ivinson AJ, Harbo HF, Hauser SL, De Jager PL, Compston A, McCauley JL, Sawcer S, McVean G; International Multiple Sclerosis Genetics Consortium.

Nat Genet. 2015 Oct;47(10):1107-13. doi: 10.1038/ng.3395. Epub 2015 Sep 7.

7.

Genetic contribution to multiple sclerosis risk among Ashkenazi Jews.

Khankhanian P, Matsushita T, Madireddy L, Lizée A, Din L, Moré JM, Gourraud PA, Hauser SL, Baranzini SE, Oksenberg JR.

BMC Med Genet. 2015 Jul 28;16:55. doi: 10.1186/s12881-015-0201-2.

8.

Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes.

Himmelstein DS, Baranzini SE.

PLoS Comput Biol. 2015 Jul 9;11(7):e1004259. doi: 10.1371/journal.pcbi.1004259. eCollection 2015 Jul.

9.

A robust type I interferon gene signature from blood RNA defines quantitative but not qualitative differences between three major IFNβ drugs in the treatment of multiple sclerosis.

Harari D, Orr I, Rotkopf R, Baranzini SE, Schreiber G.

Hum Mol Genet. 2015 Jun 1;24(11):3192-205. doi: 10.1093/hmg/ddv071. Epub 2015 Feb 26.

10.

SNP imputation bias reduces effect size determination.

Khankhanian P, Din L, Caillier SJ, Gourraud PA, Baranzini SE.

Front Genet. 2015 Feb 9;6:30. doi: 10.3389/fgene.2015.00030. eCollection 2015.

11.

Genetic associations with brain cortical thickness in multiple sclerosis.

Matsushita T, Madireddy L, Sprenger T, Khankhanian P, Magon S, Naegelin Y, Caverzasi E, Lindberg RL, Kappos L, Hauser SL, Oksenberg JR, Henry R, Pelletier D, Baranzini SE.

Genes Brain Behav. 2015 Feb;14(2):217-27. doi: 10.1111/gbb.12190. Epub 2015 Mar 5.

12.

Whole genome sequences of 2 octogenarians with sustained cognitive abilities.

Nickles D, Madireddy L, Patel N, Isobe N, Miller BL, Baranzini SE, Kramer JH, Oksenberg JR.

Neurobiol Aging. 2015 Mar;36(3):1435-8. doi: 10.1016/j.neurobiolaging.2014.11.003. Epub 2014 Dec 16.

13.
14.

Interferon-beta affects mitochondrial activity in CD4+ lymphocytes: Implications for mechanism of action in multiple sclerosis.

Haghikia A, Faissner S, Pappas D, Pula B, Akkad DA, Arning L, Ruhrmann S, Duscha A, Gold R, Baranzini SE, Malhotra S, Montalban X, Comabella M, Chan A.

Mult Scler. 2015 Sep;21(10):1262-70. doi: 10.1177/1352458514561909. Epub 2014 Dec 5.

PMID:
25480861
15.

Prognostic biomarkers of IFNb therapy in multiple sclerosis patients.

Baranzini SE, Madireddy LR, Cromer A, D'Antonio M, Lehr L, Beelke M, Farmer P, Battaglini M, Caillier SJ, Stromillo ML, De Stefano N, Monnet E, Cree BA.

Mult Scler. 2015 Jun;21(7):894-904. doi: 10.1177/1352458514555786. Epub 2014 Nov 12.

PMID:
25392319
16.
17.

Precision medicine in chronic disease management: The multiple sclerosis BioScreen.

Gourraud PA, Henry RG, Cree BA, Crane JC, Lizee A, Olson MP, Santaniello AV, Datta E, Zhu AH, Bevan CJ, Gelfand JM, Graves JS, Goodin DS, Green AJ, von Büdingen HC, Waubant E, Zamvil SS, Crabtree-Hartman E, Nelson S, Baranzini SE, Hauser SL.

Ann Neurol. 2014 Nov;76(5):633-42. doi: 10.1002/ana.24282. Epub 2014 Oct 14. Review.

18.

PINBPA: cytoscape app for network analysis of GWAS data.

Wang L, Matsushita T, Madireddy L, Mousavi P, Baranzini SE.

Bioinformatics. 2015 Jan 15;31(2):262-4. doi: 10.1093/bioinformatics/btu644. Epub 2014 Sep 25.

19.

The role of antiproliferative gene Tob1 in the immune system.

Baranzini SE.

Clin Exp Neuroimmunol. 2014 Jun 1;5(2):132-136.

20.

Rituximab efficiently depletes increased CD20-expressing T cells in multiple sclerosis patients.

Palanichamy A, Jahn S, Nickles D, Derstine M, Abounasr A, Hauser SL, Baranzini SE, Leppert D, von Büdingen HC.

J Immunol. 2014 Jul 15;193(2):580-6. doi: 10.4049/jimmunol.1400118. Epub 2014 Jun 13.

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