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Brazel, D.M.* et al.: Exome chip meta-analysis fine maps causal variants and elucidates the genetic architecture of rare coding variants in smoking and alcohol use. Biol. Psychiatry, accepted (2019)
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)
Sharapov, S.Z.* et al.: Defining the genetic control of human blood plasma N-glycome using genome-wide association study. Hum. Mol. Genet. 28, 2062-2077 (2019)
Jiang, X.* et al.: Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nat. Commun. 9:260 (2018)
Zaghlool, S.B.* et al.: Deep molecular phenotypes link complex disorders and physiological insult to CpG methylation. Hum. Mol. Genet. 27, 1106-1121 (2018)
Al Muftah, W.A.* et al.: Epigenetic associations of type 2 diabetes and BMI in an Arab population. Clin. Epigenet. 8:13 (2016)
Altmaier, E. et al.: The pharmacogenetic footprint of ACE inhibition: A population-based metabolomics study. PLoS ONE 11:e0153163 (2016)
Gormley, P.* et al.: Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine. Nat. Genet. 48, 856-866 (2016)
McCarthy, S.* et al.: A reference panel of 64,976 haplotypes for genotype imputation. Nat. Genet. 48, 1279-1283 (2016)
Zierer, J. et al.: Metabolomics profiling reveals novel markers for leukocyte telomere length. Aging 8, 77-94 (2016)
Livshits, G.* et al.: An omics investigation into chronic widespread musculoskeletal pain reveals epiandrosterone sulfate as a potential biomarker. Pain 156, 1845-1851 (2015)
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)
Almouzni, G.* et al.: Relationship between genome and epigenome - challenges and requirements for future research. BMC Genomics 15:487 (2014)
Padmanabhan, S.* et al.: Circulating levels of a dicarboxylic acid associate with blood pressure, predict mortality and response to antihypertensive drugs. A multi-omics study. J. Hum. Hypertens. 28, 638 (2014)
Tsepilov, Y.A.* et al.: Genome-wide scan of metabolomics data using non-additive intra-locus models. Hum. Hered. 76, 94 (2013)
Demirkan, A.* et al.: Genetic architecture of circulating lipid levels. Eur. J. Hum. Genet. 19, 813-819 (2011)
Heid, I.M. et al.: Clear detection of ADIPOQ locus as the major gene for plasma adiponectin: Results of genome-wide association analyses including 4659 European individuals. Atherosclerosis 208, 412-420 (2010)
Aulchenko, Y.S.* et al.: Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts. Nat. Genet. 41, 47-55 (2009)