Found 18 results
Filters: Author is Palli, D.  [Clear All Filters]
Mostafavi N., Vlaanderen J., Portengen L., Chadeau-Hyam M., Modig L., Palli D., Bergdahl I.A, Brunekreef B., Vineis P., Hebels D.G et al..  2017.  Associations Between Genome-wide Gene Expression and Ambient Nitrogen Oxides. Epidemiology. 28:320-328.
Carayol M., Leitzmann M.F, Ferrari P., Zamora-Ros R., Achaintre D., Stepien M., Schmidt J.A, Travis R.C, Overvad K., Tjonneland A. et al..  2017.  Blood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort. Journal of Proteome Research. 16:3137-3146.
Chatziioannou A., Georgiadis P., Hebels D.G, Liampa I., Valavanis I., Bergdahl I.A, Johansson A., Palli D., Chadeau-Hyam M., Siskos A.P et al..  2017.  Blood-based omic profiling supports female susceptibility to tobacco smoke-induced cardiovascular diseases. Scientific Reports. 7
Obón-Santacana M., Lujan-Barroso L., Freisling H., Cadeau C., Fagherazzi G., Boutron-Ruault M.C, Kaaks R., Fortner R.T, Boeing H., J. Quiros R et al..  2017.  Dietary and lifestyle determinants of acrylamide and glycidamide hemoglobin adducts in non-smoking postmenopausal women from the EPIC cohort. European Journal of Nutrition. 56:1157-1168.
Georgiadis P., Liampa I., Hebels D.G, Krauskopf J., Chatziioannou A., Valavanis I., de Kok T, Kleinjans J.CS, Bergdahl I.A, Melin B. et al..  2017.  Evolving DNA methylation and gene expression markers of B-cell chronic lymphocytic leukemia are present in pre-diagnostic blood samples more than 10 years prior to diagnosis. BMC Genomics. 18:728.
Kelly R.S, Kiviranta H., Bergdahl I.A, Palli D., Johansson A.S, Botsivali M., Vineis P., Vermeulen R., Kyrtopoulos S.A, Chadeau-Hyam M. et al..  2017.  Prediagnostic plasma concentrations of organochlorines and risk of B-cell non-Hodgkin lymphoma in envirogenomarkers: a nested case-control study. Environ Health. 16:9.
Fiorito G., Polidoro S., Dugue P.A, Kivimaki M., Ponzi E., Matullo G., Guarrera S., Assumma M.B, Georgiadis P., Kyrtopoulos S.A et al..  2017.  Social adversity and epigenetic aging: a multi-cohort study on socioeconomic differences in peripheral blood DNA methylation. Scientific Reports. 7:16266.
Ek W.E, Tobi E.W, Ahsan M., Lampa E., Ponzi E., Kyrtopoulos S.A, Georgiadis P., Lumey L.H, Heijmans B.T, Botsivali M. et al..  2017.  Tea and coffee consumption in relation to DNA methylation in four European cohorts. Hum Mol Genet. 26:3221-3231.
Zhou B., Bentham J., Di Cesare M., Bixby H., Danaei G., Cowan M.J, Paciorek C.J, Singh G., Hajifathalian K., Bennett J.E et al..  2017.  Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19.1 million participants. LANCETLancet. 389:37-55.
Castagné R., Kelly-Irving M., Campanella G., Guida F., Krogh V., Palli D., Panico S., Sacerdote C., Tumino R., Kleinjans J. et al..  2016.  Biological marks of early-life socioeconomic experience is detected in the adult inflammatory transcriptome. SCIENTIFIC REPORTSScientific Reports. 6
Lassale C., Gunter M.J, Romaguera D., Peelen L.M, van der Schouw Y.T, Beulens J.WJ, Freisling H., Muller D.C, Ferrari P., Huybrechts I. et al..  2016.  Diet Quality Scores and Prediction of All-Cause, Cardiovascular and Cancer Mortality in a Pan-European Cohort Study. PLOS ONEPloS One. 11
Castagné R., Delpierre C., Kelly-Irving M., Campanella G., Guida F., Krogh V., Palli D., Panico S., Sacerdote C., Tumino R. et al..  2016.  A life course approach to explore the biological embedding of socioeconomic position and social mobility through circulating inflammatory markers. Scientific Reports. 6
Muller D.C, Murphy N., Johansson M., Ferrari P., Tsilidis K.K, Boutron-Ruault M.C, Clavel F., Dartois L., Li K., Kaaks R. et al..  2016.  Modifiable causes of premature death in middle-age in Western Europe: results from the EPIC cohort study. BMC Medicine. 14
Georgiadis P., Hebels D.G, Valavanis I., Liampa I., Bergdahl I.A, Johansson A., Palli D., Chadeau-Hyam M., Chatziioannou A., Jennen D.GJ et al..  2016.  Omics for prediction of environmental health effects: Blood leukocyte-based cross-omic profiling reliably predicts diseases associated with tobacco smoking. Scientific Reports. 6
Di Cesare M., Bentham J., Stevens G.A, Zhou B., Danaei G., Lu Y., Bixby H., Cowan M.J, Riley L.M, Hajifathalian K. et al..  2016.  Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 387:1377-1396.