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Items: 10

1.

Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis.

Jaffe AE, Straub RE, Shin JH, Tao R, Gao Y, Collado-Torres L, Kam-Thong T, Xi HS, Quan J, Chen Q, Colantuoni C, Ulrich WS, Maher BJ, Deep-Soboslay A; BrainSeq Consortium, Cross AJ, Brandon NJ, Leek JT, Hyde TM, Kleinman JE, Weinberger DR.

Nat Neurosci. 2018 Aug;21(8):1117-1125. doi: 10.1038/s41593-018-0197-y. Epub 2018 Jul 26.

PMID:
30050107
2.

HtrA1 Mediated Intracellular Effects on Tubulin Using a Polarized RPE Disease Model.

Melo E, Oertle P, Trepp C, Meistermann H, Burgoyne T, Sborgi L, Cabrera AC, Chen CY, Hoflack JC, Kam-Thong T, Schmucki R, Badi L, Flint N, Ghiani ZE, Delobel F, Stucki C, Gromo G, Einhaus A, Hornsperger B, Golling S, Siebourg-Polster J, Gerber F, Bohrmann B, Futter C, Dunkley T, Hiller S, Schilling O, Enzmann V, Fauser S, Plodinec M, Iacone R.

EBioMedicine. 2018 Jan;27:258-274. doi: 10.1016/j.ebiom.2017.12.011. Epub 2017 Dec 13.

3.

Connecting Anxiety and Genomic Copy Number Variation: A Genome-Wide Analysis in CD-1 Mice.

Brenndörfer J, Altmann A, Widner-Andrä R, Pütz B, Czamara D, Tilch E, Kam-Thong T, Weber P, Rex-Haffner M, Bettecken T, Bultmann A, Müller-Myhsok B, Binder EE, Landgraf R, Czibere L.

PLoS One. 2015 May 26;10(5):e0128465. doi: 10.1371/journal.pone.0128465. eCollection 2015.

4.

Disease modeling and phenotypic drug screening for diabetic cardiomyopathy using human induced pluripotent stem cells.

Drawnel FM, Boccardo S, Prummer M, Delobel F, Graff A, Weber M, Gérard R, Badi L, Kam-Thong T, Bu L, Jiang X, Hoflack JC, Kiialainen A, Jeworutzki E, Aoyama N, Carlson C, Burcin M, Gromo G, Boehringer M, Stahlberg H, Hall BJ, Magnone MC, Kolaja K, Chien KR, Bailly J, Iacone R.

Cell Rep. 2014 Nov 6;9(3):810-21. doi: 10.1016/j.celrep.2014.09.055. Epub 2014 Oct 30.

5.

The challenges of genome-wide interaction studies: lessons to learn from the analysis of HDL blood levels.

van Leeuwen EM, Smouter FA, Kam-Thong T, Karbalai N, Smith AV, Harris TB, Launer LJ, Sitlani CM, Li G, Brody JA, Bis JC, White CC, Jaiswal A, Oostra BA, Hofman A, Rivadeneira F, Uitterlinden AG, Boerwinkle E, Ballantyne CM, Gudnason V, Psaty BM, Cupples LA, Järvelin MR, Ripatti S, Isaacs A, Müller-Myhsok B, Karssen LC, van Duijn CM.

PLoS One. 2014 Oct 20;9(10):e109290. doi: 10.1371/journal.pone.0109290. eCollection 2014.

6.

Cost-effective GPU-grid for genome-wide epistasis calculations.

Pütz B, Kam-Thong T, Karbalai N, Altmann A, Müller-Myhsok B.

Methods Inf Med. 2013;52(1):91-5. doi: 10.3414/ME11-02-0049. Epub 2012 Dec 7.

PMID:
23223640
7.

GLIDE: GPU-based linear regression for detection of epistasis.

Kam-Thong T, Azencott CA, Cayton L, Pütz B, Altmann A, Karbalai N, Sämann PG, Schölkopf B, Müller-Myhsok B, Borgwardt KM.

Hum Hered. 2012;73(4):220-36. Epub 2012 Sep 4.

8.

Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs.

Kam-Thong T, Pütz B, Karbalai N, Müller-Myhsok B, Borgwardt K.

Bioinformatics. 2011 Jul 1;27(13):i214-21. doi: 10.1093/bioinformatics/btr218.

9.

An examination of single nucleotide polymorphism selection prioritization strategies for tests of gene-gene interaction.

Moskvina V, Craddock N, Müller-Myhsok B, Kam-Thong T, Green E, Holmans P, Owen MJ, O'Donovan MC.

Biol Psychiatry. 2011 Jul 15;70(2):198-203. doi: 10.1016/j.biopsych.2011.01.034. Epub 2011 Apr 9.

10.

EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units.

Kam-Thong T, Czamara D, Tsuda K, Borgwardt K, Lewis CM, Erhardt-Lehmann A, Hemmer B, Rieckmann P, Daake M, Weber F, Wolf C, Ziegler A, Pütz B, Holsboer F, Schölkopf B, Müller-Myhsok B.

Eur J Hum Genet. 2011 Apr;19(4):465-71. doi: 10.1038/ejhg.2010.196. Epub 2010 Dec 8.

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