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Items: 1 to 20 of 98

1.

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.

2.

PSEA: Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes.

Ried JS, Döring A, Oexle K, Meisinger C, Winkelmann J, Klopp N, Meitinger T, Peters A, Suhre K, Wichmann HE, Gieger C.

Genet Epidemiol. 2012 Apr;36(3):244-52. doi: 10.1002/gepi.21617.

PMID:
22714936
3.

Nonadditive Effects of Genes in Human Metabolomics.

Tsepilov YA, Shin SY, Soranzo N, Spector TD, Prehn C, Adamski J, Kastenmüller G, Wang-Sattler R, Strauch K, Gieger C, Aulchenko YS, Ried JS.

Genetics. 2015 Jul;200(3):707-18. doi: 10.1534/genetics.115.175760. Epub 2015 May 14.

4.

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.

5.

Dissection of genotype-phenotype associations in rice grains using metabolome quantitative trait loci analysis.

Matsuda F, Okazaki Y, Oikawa A, Kusano M, Nakabayashi R, Kikuchi J, Yonemaru J, Ebana K, Yano M, Saito K.

Plant J. 2012 May;70(4):624-36. doi: 10.1111/j.1365-313X.2012.04903.x. Epub 2012 Feb 10.

6.

Automated workflow-based exploitation of pathway databases provides new insights into genetic associations of metabolite profiles.

Dharuri H, Henneman P, Demirkan A, van Klinken JB, Mook-Kanamori DO, Wang-Sattler R, Gieger C, Adamski J, Hettne K, Roos M, Suhre K, Van Duijn CM; EUROSPAN Consortia, van Dijk KW, 't Hoen PA.

BMC Genomics. 2013 Dec 9;14:865. doi: 10.1186/1471-2164-14-865.

7.

Insight in genome-wide association of metabolite quantitative traits by exome sequence analyses.

Demirkan A, Henneman P, Verhoeven A, Dharuri H, Amin N, van Klinken JB, Karssen LC, de Vries B, Meissner A, Göraler S, van den Maagdenberg AM, Deelder AM, C 't Hoen PA, van Duijn CM, van Dijk KW.

PLoS Genet. 2015 Jan 8;11(1):e1004835. doi: 10.1371/journal.pgen.1004835. eCollection 2015 Jan.

8.

Detailed metabolic and genetic characterization reveals new associations for 30 known lipid loci.

Tukiainen T, Kettunen J, Kangas AJ, Lyytikäinen LP, Soininen P, Sarin AP, Tikkanen E, O'Reilly PF, Savolainen MJ, Kaski K, Pouta A, Jula A, Lehtimäki T, Kähönen M, Viikari J, Taskinen MR, Jauhiainen M, Eriksson JG, Raitakari O, Salomaa V, Järvelin MR, Perola M, Palotie A, Ala-Korpela M, Ripatti S.

Hum Mol Genet. 2012 Mar 15;21(6):1444-55. doi: 10.1093/hmg/ddr581. Epub 2011 Dec 9.

9.

Genetics of the human metabolome, what is next?

Dharuri H, Demirkan A, van Klinken JB, Mook-Kanamori DO, van Duijn CM, 't Hoen PA, Willems van Dijk K.

Biochim Biophys Acta. 2014 Oct;1842(10):1923-1931. doi: 10.1016/j.bbadis.2014.05.030. Epub 2014 Jun 4. Review.

10.

Integrating milk metabolite profile information for the prediction of traditional milk traits based on SNP information for Holstein cows.

Melzer N, Wittenburg D, Repsilber D.

PLoS One. 2013 Aug 21;8(8):e70256. doi: 10.1371/journal.pone.0070256. eCollection 2013.

11.

Metabolome 2.0: quantitative genetics and network biology of metabolic phenotypes.

Dumas ME.

Mol Biosyst. 2012 Oct;8(10):2494-502. doi: 10.1039/c2mb25167a. Review.

PMID:
22868675
12.

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.

13.

Genome-wide association study identifies multiple loci influencing human serum metabolite levels.

Kettunen J, Tukiainen T, Sarin AP, Ortega-Alonso A, Tikkanen E, Lyytikäinen LP, Kangas AJ, Soininen P, Würtz P, Silander K, Dick DM, Rose RJ, Savolainen MJ, Viikari J, Kähönen M, Lehtimäki T, Pietiläinen KH, Inouye M, McCarthy MI, Jula A, Eriksson J, Raitakari OT, Salomaa V, Kaprio J, Järvelin MR, Peltonen L, Perola M, Freimer NB, Ala-Korpela M, Palotie A, Ripatti S.

Nat Genet. 2012 Jan 29;44(3):269-76. doi: 10.1038/ng.1073.

14.

Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.

Marttinen P, Pirinen M, Sarin AP, Gillberg J, Kettunen J, Surakka I, Kangas AJ, Soininen P, O'Reilly P, Kaakinen M, Kähönen M, Lehtimäki T, Ala-Korpela M, Raitakari OT, Salomaa V, Järvelin MR, Ripatti S, Kaski S.

Bioinformatics. 2014 Jul 15;30(14):2026-34. doi: 10.1093/bioinformatics/btu140. Epub 2014 Mar 24.

15.

Phenotype variations affect genetic association studies of degenerative disc disease: conclusions of analysis of genetic association of 58 single nucleotide polymorphisms with highly specific phenotypes for disc degeneration in 332 subjects.

Rajasekaran S, Kanna RM, Senthil N, Raveendran M, Cheung KM, Chan D, Subramaniam S, Shetty AP.

Spine J. 2013 Oct;13(10):1309-20. doi: 10.1016/j.spinee.2013.05.019. Epub 2013 Jun 21.

PMID:
23792102
16.

Metabolomics platforms for genome wide association studies--linking the genome to the metabolome.

Adamski J, Suhre K.

Curr Opin Biotechnol. 2013 Feb;24(1):39-47. doi: 10.1016/j.copbio.2012.10.003. Epub 2012 Oct 25. Review.

PMID:
23102864
17.

A genome-wide association study for blood lipid phenotypes in the Framingham Heart Study.

Kathiresan S, Manning AK, Demissie S, D'Agostino RB, Surti A, Guiducci C, Gianniny L, Burtt NP, Melander O, Orho-Melander M, Arnett DK, Peloso GM, Ordovas JM, Cupples LA.

BMC Med Genet. 2007 Sep 19;8 Suppl 1:S17.

18.

A genome-wide perspective of genetic variation in human metabolism.

Illig T, Gieger C, Zhai G, Römisch-Margl W, Wang-Sattler R, Prehn C, Altmaier E, Kastenmüller G, Kato BS, Mewes HW, Meitinger T, de Angelis MH, Kronenberg F, Soranzo N, Wichmann HE, Spector TD, Adamski J, Suhre K.

Nat Genet. 2010 Feb;42(2):137-41. doi: 10.1038/ng.507. Epub 2009 Dec 27.

19.

A genome-wide assessment of variability in human serum metabolism.

Hong MG, Karlsson R, Magnusson PK, Lewis MR, Isaacs W, Zheng LS, Xu J, Grönberg H, Ingelsson E, Pawitan Y, Broeckling C, Prenni JE, Wiklund F, Prince JA.

Hum Mutat. 2013 Mar;34(3):515-24. doi: 10.1002/humu.22267.

PMID:
23281178
20.

Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis.

Cross-Disorder Group of the Psychiatric Genomics Consortium.

Lancet. 2013 Apr 20;381(9875):1371-9. doi: 10.1016/S0140-6736(12)62129-1. Epub 2013 Feb 28. Erratum in: Lancet. 2013 Apr 20;381(9875):1360.

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