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18 Records found.
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1.
Erzurumluoglu, A.M.* et al.: Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Mol. Psychiatry, accepted (2019)
2.
Jackson, V.E.* et al.: Meta-analysis of exome array data identifies six novel genetic loci for lung function. Wellcome Open Res. 3:4 (2018)
3.
Day, F.R.* et al.: Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk. Nat. Genet. 49, 834-841 (2017)
4.
Altmaier, E. et al.: The pharmacogenetic footprint of ACE inhibition: A population-based metabolomics study. PLoS ONE 11:e0153163 (2016)
5.
Pallister, T.* et al.: Metabolites of milk intake: A metabolomic approach in UK twins with findings replicated in two European cohorts. Eur. J. Nutr. 56, 2379-2391 (2016)
6.
Schulte, E.C. et al.: Alterations in lipid and inositol metabolisms in two dopaminergic disorders. PLoS ONE 11:e0147129 (2016)
7.
Day, F.R.* et al.: Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. Nat. Genet. 47, 1294-1303 (2015)
8.
Day, F.R.* et al.: Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility, and BRCA1-mediated DNA repair. Obstet. Gynecol. 70, 758-762 (2015)
9.
Lunetta, K.L.* et al.: Rare coding variants and X-linked loci associated with age at menarche. Nat. Commun. 6:7756 (2015)
10.
Lunetta, K.L.* et al.: Corrigendum: Rare coding variants and X-linked loci associated with age at menarche. Nat. Commun. 6:10257 (2015)
11.
Pallister, T.* et al.: Novel biomarkers of milk intake: A metabolomic approach in multiple European cohorts. Ann. Nutr. Metab. 67, 256 (2015)
12.
Paternoster, L.* et al.: Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis. Nat. Genet. 47, 1449-1456 (2015)
13.
Raffler, J. et al.: Genome-wide association study with targeted and non-targeted NMR metabolomics identifies 15 novel loci of urinary human metabolic individuality. PLoS Genet. 11:e1005487 (2015)
14.
Altmaier, E. & Emeny, R.T.: Use of metabolomics and proteomics to reveal pathophysiological pathways in anxiety disorders. Adv. Biol. Psychiatry 29, 128-138 (2014)
15.
Altmaier, E. et al.: Questionnaire-based self-reported nutrition habits associate with serum metabolism as revealed by quantitative targeted metabolomics. Eur. J. Epidemiol. 26, 145-156 (2011)
16.
Suhre, K. et al.: Human metabolic individuality in biomedical and pharmaceutical research. Nature 477, 54-60 (2011)
17.
Illig, T. et al.: A genome-wide perspective of genetic variation in human metabolism. Nat. Genet. 42, 137-141 (2010)
18.
Altmaier, E.: Targeted Metabolomics in Mensch, Maus und Rind: Bioinformatische Methodenentwicklung und Datenanalyse. München, Technische Universität, Fakultät Wissenschaftszentrum Weihenstephan, Diss., 2008, 93 S.