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Results: 1 to 20 of 39

1.

Erratum to: A systems view of type 2 diabetes-associated metabolic perturbations in saliva, blood and urine at different timescales of glycaemic control.

Yousri NA, Mook-Kanamori DO, El-Din Selim MM, Takiddin AH, Al-Homsi H, Al-Mahmoud KA, Karoly ED, Krumsiek J, Do KT, Neumaier U, Mook-Kanamori MJ, Rowe J, Chidiac OM, McKeon C, Al Muftah WA, Kader SA, Kastenmüller G, Suhre K.

Diabetologia. 2015 Jul 2. [Epub ahead of print] No abstract available.

PMID:
26133943
2.

Identification of Candidate Adherent-Invasive E. coli Signature Transcripts by Genomic/Transcriptomic Analysis.

Zhang Y, Rowehl L, Krumsiek JM, Orner EP, Shaikh N, Tarr PI, Sodergren E, Weinstock GM, Boedeker EC, Xiong X, Parkinson J, Frank DN, Li E, Gathungu G.

PLoS One. 2015 Jun 30;10(6):e0130902. doi: 10.1371/journal.pone.0130902. eCollection 2015.

3.

The Human Blood Metabolome-Transcriptome Interface.

Bartel J, Krumsiek J, Schramm K, Adamski J, Gieger C, Herder C, Carstensen M, Peters A, Rathmann W, Roden M, Strauch K, Suhre K, Kastenmüller G, Prokisch H, Theis FJ.

PLoS Genet. 2015 Jun 18;11(6):e1005274. doi: 10.1371/journal.pgen.1005274. eCollection 2015 Jun.

4.

A systems view of type 2 diabetes-associated metabolic perturbations in saliva, blood and urine at different timescales of glycaemic control.

Yousri NA, Mook-Kanamori DO, Selim MM, Takiddin AH, Al-Homsi H, Al-Mahmoud KA, Karoly ED, Krumsiek J, Do KT, Neumaier U, Mook-Kanamori MJ, Rowe J, Chidiac OM, McKeon C, Al Muftah WA, Kader SA, Kastenmüller G, Suhre K.

Diabetologia. 2015 Jun 7. [Epub ahead of print]

PMID:
26049400
5.

Multi-omic signature of body weight change: results from a population-based cohort study.

Wahl S, Vogt S, Stückler F, Krumsiek J, Bartel J, Kacprowski T, Schramm K, Carstensen M, Rathmann W, Roden M, Jourdan C, Kangas AJ, Soininen P, Ala-Korpela M, Nöthlings U, Boeing H, Theis FJ, Meisinger C, Waldenberger M, Suhre K, Homuth G, Gieger C, Kastenmüller G, Illig T, Linseisen J, Peters A, Prokisch H, Herder C, Thorand B, Grallert H.

BMC Med. 2015 Mar 9;13:48. doi: 10.1186/s12916-015-0282-y.

6.

Methods for sample acquisition and processing of serial blood and tumor biopsies for multicenter diffuse large B-cell lymphoma clinical trials.

Nielsen TH, Diaz Z, Christodoulopoulos R, Charbonneau F, Qureshi S, Rousseau C, Benlimame N, Camlioglu E, Constantin AM, Oros KK, Krumsiek J, Crump M, Morin RD, Cerchietti L, Johnson NA, Petrogiannis-Haliotis T, Miller WH Jr, Assouline SE, Mann KK.

Cancer Epidemiol Biomarkers Prev. 2014 Dec;23(12):2688-93. doi: 10.1158/1055-9965.EPI-14-0549.

PMID:
25472678
7.

Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and saliva.

Do KT, Kastenmüller G, Mook-Kanamori DO, Yousri NA, Theis FJ, Suhre K, Krumsiek J.

J Proteome Res. 2015 Feb 6;14(2):1183-94. doi: 10.1021/pr501130a. Epub 2014 Dec 9.

PMID:
25434815
8.

Erratum to: Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetes.

Winkler C, Krumsiek J, Buettner F, Angermüller C, Giannopoulou EZ, Theis FJ, Ziegler AG, Bonifacio E.

Diabetologia. 2015 Jan;58(1):206. doi: 10.1007/s00125-014-3435-1. No abstract available.

PMID:
25374276
9.

Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetes.

Winkler C, Krumsiek J, Buettner F, Angermüller C, Giannopoulou EZ, Theis FJ, Ziegler AG, Bonifacio E.

Diabetologia. 2014 Dec;57(12):2521-9. doi: 10.1007/s00125-014-3362-1. Epub 2014 Sep 4. Erratum in: Diabetologia. 2015 Jan;58(1):206.

PMID:
25186292
10.

Novel genetic associations with serum level metabolites identified by phenotype set enrichment analyses.

Ried JS, Shin SY, Krumsiek J, Illig T, Theis FJ, Spector TD, Adamski J, Wichmann HE, Strauch K, Soranzo N, Suhre K, Gieger C.

Hum Mol Genet. 2014 Nov 1;23(21):5847-57. doi: 10.1093/hmg/ddu301. Epub 2014 Jun 13.

PMID:
24927737
11.

An atlas of genetic influences on human blood metabolites.

Shin SY, Fauman EB, Petersen AK, Krumsiek J, Santos R, Huang J, Arnold M, Erte I, Forgetta V, Yang TP, Walter K, Menni C, Chen L, Vasquez L, Valdes AM, Hyde CL, Wang V, Ziemek D, Roberts P, Xi L, Grundberg E; Multiple Tissue Human Expression Resource (MuTHER) Consortium, Waldenberger M, Richards JB, Mohney RP, Milburn MV, John SL, Trimmer J, Theis FJ, Overington JP, Suhre K, Brosnan MJ, Gieger C, Kastenmüller G, Spector TD, Soranzo N.

Nat Genet. 2014 Jun;46(6):543-50. doi: 10.1038/ng.2982. Epub 2014 May 11.

12.

Linking diet, physical activity, cardiorespiratory fitness and obesity to serum metabolite networks: findings from a population-based study.

Floegel A, Wientzek A, Bachlechner U, Jacobs S, Drogan D, Prehn C, Adamski J, Krumsiek J, Schulze MB, Pischon T, Boeing H.

Int J Obes (Lond). 2014 Nov;38(11):1388-96. doi: 10.1038/ijo.2014.39. Epub 2014 Mar 10.

13.

Metabolite profiling reveals new insights into the regulation of serum urate in humans.

Albrecht E, Waldenberger M, Krumsiek J, Evans AM, Jeratsch U, Breier M, Adamski J, Koenig W, Zeilinger S, Fuchs C, Klopp N, Theis FJ, Wichmann HE, Suhre K, Illig T, Strauch K, Peters A, Gieger C, Kastenmüller G, Doering A, Meisinger C.

Metabolomics. 2014;10(1):141-151. Epub 2013 Jul 20.

14.

A strategy to find gene combinations that identify children who progress rapidly to type 1 diabetes after islet autoantibody seroconversion.

Bonifacio E, Krumsiek J, Winkler C, Theis FJ, Ziegler AG.

Acta Diabetol. 2014;51(3):403-11. doi: 10.1007/s00592-013-0526-2. Epub 2013 Nov 19.

PMID:
24249616
15.

A study of Caenorhabditis elegans DAF-2 mutants by metabolomics and differential correlation networks.

Castro C, Krumsiek J, Lehrbach NJ, Murfitt SA, Miska EA, Griffin JL.

Mol Biosyst. 2013 Jul;9(7):1632-42. doi: 10.1039/c3mb25539e. Epub 2013 Mar 11.

PMID:
23475189
16.

Integrative genetic and metabolite profiling analysis suggests altered phosphatidylcholine metabolism in asthma.

Ried JS, Baurecht H, Stückler F, Krumsiek J, Gieger C, Heinrich J, Kabesch M, Prehn C, Peters A, Rodriguez E, Schulz H, Strauch K, Suhre K, Wang-Sattler R, Wichmann HE, Theis FJ, Illig T, Adamski J, Weidinger S.

Allergy. 2013;68(5):629-36. doi: 10.1111/all.12110. Epub 2013 Mar 1.

PMID:
23452035
17.

Statistical methods for the analysis of high-throughput metabolomics data.

Bartel J, Krumsiek J, Theis FJ.

Comput Struct Biotechnol J. 2013 Mar 22;4:e201301009. doi: 10.5936/csbj.201301009. eCollection 2013. Review.

18.

Genome-wide association analyses identify 18 new loci associated with serum urate concentrations.

Köttgen A, Albrecht E, Teumer A, Vitart V, Krumsiek J, Hundertmark C, Pistis G, Ruggiero D, O'Seaghdha CM, Haller T, Yang Q, Tanaka T, Johnson AD, Kutalik Z, Smith AV, Shi J, Struchalin M, Middelberg RP, Brown MJ, Gaffo AL, Pirastu N, Li G, Hayward C, Zemunik T, Huffman J, Yengo L, Zhao JH, Demirkan A, Feitosa MF, Liu X, Malerba G, Lopez LM, van der Harst P, Li X, Kleber ME, Hicks AA, Nolte IM, Johansson A, Murgia F, Wild SH, Bakker SJ, Peden JF, Dehghan A, Steri M, Tenesa A, Lagou V, Salo P, Mangino M, Rose LM, Lehtimäki T, Woodward OM, Okada Y, Tin A, Müller C, Oldmeadow C, Putku M, Czamara D, Kraft P, Frogheri L, Thun GA, Grotevendt A, Gislason GK, Harris TB, Launer LJ, McArdle P, Shuldiner AR, Boerwinkle E, Coresh J, Schmidt H, Schallert M, Martin NG, Montgomery GW, Kubo M, Nakamura Y, Tanaka T, Munroe PB, Samani NJ, Jacobs DR Jr, Liu K, D'Adamo P, Ulivi S, Rotter JI, Psaty BM, Vollenweider P, Waeber G, Campbell S, Devuyst O, Navarro P, Kolcic I, Hastie N, Balkau B, Froguel P, Esko T, Salumets A, Khaw KT, Langenberg C, Wareham NJ, Isaacs A, Kraja A, Zhang Q, Wild PS, Scott RJ, Holliday EG, Org E, Viigimaa M, Bandinelli S, Metter JE, Lupo A, Trabetti E, Sorice R, Döring A, Lattka E, Strauch K, Theis F, Waldenberger M, Wichmann HE, Davies G, Gow AJ, Bruinenberg M; LifeLines Cohort Study, Stolk RP, Kooner JS, Zhang W, Winkelmann BR, Boehm BO, Lucae S, Penninx BW, Smit JH, Curhan G, Mudgal P, Plenge RM, Portas L, Persico I, Kirin M, Wilson JF, Mateo Leach I, van Gilst WH, Goel A, Ongen H, Hofman A, Rivadeneira F, Uitterlinden AG, Imboden M, von Eckardstein A, Cucca F, Nagaraja R, Piras MG, Nauck M, Schurmann C, Budde K, Ernst F, Farrington SM, Theodoratou E, Prokopenko I, Stumvoll M, Jula A, Perola M, Salomaa V, Shin SY, Spector TD, Sala C, Ridker PM, Kähönen M, Viikari J, Hengstenberg C, Nelson CP; CARDIoGRAM Consortium; DIAGRAM Consortium; ICBP Consortium; MAGIC Consortium, Meschia JF, Nalls MA, Sharma P, Singleton AB, Kamatani N, Zeller T, Burnier M, Attia J, Laan M, Klopp N, Hillege HL, Kloiber S, Choi H, Pirastu M, Tore S, Probst-Hensch NM, Völzke H, Gudnason V, Parsa A, Schmidt R, Whitfield JB, Fornage M, Gasparini P, Siscovick DS, Polašek O, Campbell H, Rudan I, Bouatia-Naji N, Metspalu A, Loos RJ, van Duijn CM, Borecki IB, Ferrucci L, Gambaro G, Deary IJ, Wolffenbuttel BH, Chambers JC, März W, Pramstaller PP, Snieder H, Gyllensten U, Wright AF, Navis G, Watkins H, Witteman JC, Sanna S, Schipf S, Dunlop MG, Tönjes A, Ripatti S, Soranzo N, Toniolo D, Chasman DI, Raitakari O, Kao WH, Ciullo M, Fox CS, Caulfield M, Bochud M, Gieger C.

Nat Genet. 2013 Feb;45(2):145-54. doi: 10.1038/ng.2500. Epub 2012 Dec 23.

19.

Metabolomic profiles in individuals with negative affectivity and social inhibition: a population-based study of Type D personality.

Altmaier E, Emeny RT, Krumsiek J, Lacruz ME, Lukaschek K, Häfner S, Kastenmüller G, Römisch-Margl W, Prehn C, Mohney RP, Evans AM, Milburn MV, Illig T, Adamski J, Theis F, Suhre K, Ladwig KH.

Psychoneuroendocrinology. 2013 Aug;38(8):1299-309. doi: 10.1016/j.psyneuen.2012.11.014. Epub 2012 Dec 10.

PMID:
23237813
20.

Mining the unknown: a systems approach to metabolite identification combining genetic and metabolic information.

Krumsiek J, Suhre K, Evans AM, Mitchell MW, Mohney RP, Milburn MV, Wägele B, Römisch-Margl W, Illig T, Adamski J, Gieger C, Theis FJ, Kastenmüller G.

PLoS Genet. 2012;8(10):e1003005. doi: 10.1371/journal.pgen.1003005. Epub 2012 Oct 18.

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