Additional file 1 of In utero and childhood exposure to tobacco smoke and multi-layer molecular signatures in children

Additional file 1: Table S1. Years of enrollment in the cohort, years of HELIX vist and years when smoking was banned in each cohort (country). Table S2. Proteins targeted in each of the three Magnetic Human Luminex kits from Life Technologies. Table S3. Association of maternal smoking in pregnancy...

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Hauptverfasser: Vives-Usano, Marta, Hernandez-Ferrer, Carles, Maitre, Léa, Ruiz-Arenas, Carlos, Andrusaityte, Sandra, Borràs, Eva, Carracedo, Ángel, Casas, Maribel, Chatzi, Leda, Coen, Muireann, Estivill, Xavier, González, Juan R., Grazuleviciene, Regina, Gutzkow, Kristine B., Keun, Hector C., Lau, Chung-Ho E., Cadiou, Solène, Lepeule, Johanna, Mason, Dan, Quintela, Inés, Robinson, Oliver, Sabidó, Eduard, Santorelli, Gillian, Schwarze, Per E., Siskos, Alexandros P., Slama, Rémy, Vafeiadi, Marina, Martí, Eulàlia, Vrijheid, Martine, Bustamante, Mariona
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creator Vives-Usano, Marta
Hernandez-Ferrer, Carles
Maitre, Léa
Ruiz-Arenas, Carlos
Andrusaityte, Sandra
Borràs, Eva
Carracedo, Ángel
Casas, Maribel
Chatzi, Leda
Coen, Muireann
Estivill, Xavier
González, Juan R.
Grazuleviciene, Regina
Gutzkow, Kristine B.
Keun, Hector C.
Lau, Chung-Ho E.
Cadiou, Solène
Lepeule, Johanna
Mason, Dan
Quintela, Inés
Robinson, Oliver
Sabidó, Eduard
Santorelli, Gillian
Schwarze, Per E.
Siskos, Alexandros P.
Slama, Rémy
Vafeiadi, Marina
Martí, Eulàlia
Vrijheid, Martine
Bustamante, Mariona
description Additional file 1: Table S1. Years of enrollment in the cohort, years of HELIX vist and years when smoking was banned in each cohort (country). Table S2. Proteins targeted in each of the three Magnetic Human Luminex kits from Life Technologies. Table S3. Association of maternal smoking in pregnancy and child blood DNA methylation levels adjusted for global-SHS, ordered by chromosome position. Table S4. eQTM analyses: Association between child blood DNA methylation levels at 41 CpG sites vs. child blood expression levels of genes within ±500 kb, ordered by p-value. Table S5. Association between maternal smoking in pregnancy and child blood expression levels of top genes, ordered by p-value of sustained maternal smoking in pregnancy. Table S6. Association between maternal smoking in pregnancy and child blood expression levels of genes within ±500 kb, ordered by p-value of sustained- maternal smoking in pregnancy. Table S7. Association of maternal smoking in pregnancy and child molecular phenotypes adjusted for global-SHS. Table S8. Association of childhood SHS and child molecular phenotpyes adjusted for sustained maternal smoking in pregnancy. Table S9. Comparison of the association of own smoking in adults and SHS in children with serum metabolites, ordered by metabolite name. Table S10. Comparison of the association of own smoking in adults and SHS in children with blood miRNA expression, ordered by miRNA name. Table S11. Comparison of the association of own smoking in adults and SHS in children with blood gene expression, ordered by p-value in children (sustained maternal smoking in pregnancy). Table S12. Comparison of the association of own smoking in adults and SHS in children with blood DNA methylation, ordered by p-value in children (sustained maternal smoking in pregnancy). Table S13. Association of maternal smoking in pregnancy and child DNA methylation levels adjusted for home-SHS. Table S14. Association of maternal smoking in pregnancy and child molecular phenotypes adjusted for home-SHS. Table S15. Association of maternal smoking in pregnancy and child DNA methylation levels unadjusted for global-SHS. Table S16. Association of maternal smoking in pregnancy and child molecular phenotypes unadjusted for global-SHS. Table S17. Association of childhood SHS and child molecular phenotypes unadjusted for sustained maternal smoking in pregnancy. Table S18. Association of maternal smoking in pregnancy and child DNA methylation levels in European ancestry
doi_str_mv 10.6084/m9.figshare.12825668
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Years of enrollment in the cohort, years of HELIX vist and years when smoking was banned in each cohort (country). Table S2. Proteins targeted in each of the three Magnetic Human Luminex kits from Life Technologies. Table S3. Association of maternal smoking in pregnancy and child blood DNA methylation levels adjusted for global-SHS, ordered by chromosome position. Table S4. eQTM analyses: Association between child blood DNA methylation levels at 41 CpG sites vs. child blood expression levels of genes within ±500 kb, ordered by p-value. Table S5. Association between maternal smoking in pregnancy and child blood expression levels of top genes, ordered by p-value of sustained maternal smoking in pregnancy. Table S6. Association between maternal smoking in pregnancy and child blood expression levels of genes within ±500 kb, ordered by p-value of sustained- maternal smoking in pregnancy. Table S7. Association of maternal smoking in pregnancy and child molecular phenotypes adjusted for global-SHS. Table S8. Association of childhood SHS and child molecular phenotpyes adjusted for sustained maternal smoking in pregnancy. Table S9. Comparison of the association of own smoking in adults and SHS in children with serum metabolites, ordered by metabolite name. Table S10. Comparison of the association of own smoking in adults and SHS in children with blood miRNA expression, ordered by miRNA name. Table S11. Comparison of the association of own smoking in adults and SHS in children with blood gene expression, ordered by p-value in children (sustained maternal smoking in pregnancy). Table S12. Comparison of the association of own smoking in adults and SHS in children with blood DNA methylation, ordered by p-value in children (sustained maternal smoking in pregnancy). Table S13. Association of maternal smoking in pregnancy and child DNA methylation levels adjusted for home-SHS. Table S14. Association of maternal smoking in pregnancy and child molecular phenotypes adjusted for home-SHS. Table S15. Association of maternal smoking in pregnancy and child DNA methylation levels unadjusted for global-SHS. Table S16. Association of maternal smoking in pregnancy and child molecular phenotypes unadjusted for global-SHS. Table S17. Association of childhood SHS and child molecular phenotypes unadjusted for sustained maternal smoking in pregnancy. Table S18. Association of maternal smoking in pregnancy and child DNA methylation levels in European ancestry children adjusted for global-SHS. Table S19. Association of maternal smoking in pregnancy and child molecular phenotypes in European ancestry children adjusted for global-SHS. Table S20. 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Years of enrollment in the cohort, years of HELIX vist and years when smoking was banned in each cohort (country). Table S2. Proteins targeted in each of the three Magnetic Human Luminex kits from Life Technologies. Table S3. Association of maternal smoking in pregnancy and child blood DNA methylation levels adjusted for global-SHS, ordered by chromosome position. Table S4. eQTM analyses: Association between child blood DNA methylation levels at 41 CpG sites vs. child blood expression levels of genes within ±500 kb, ordered by p-value. Table S5. Association between maternal smoking in pregnancy and child blood expression levels of top genes, ordered by p-value of sustained maternal smoking in pregnancy. Table S6. Association between maternal smoking in pregnancy and child blood expression levels of genes within ±500 kb, ordered by p-value of sustained- maternal smoking in pregnancy. Table S7. Association of maternal smoking in pregnancy and child molecular phenotypes adjusted for global-SHS. Table S8. Association of childhood SHS and child molecular phenotpyes adjusted for sustained maternal smoking in pregnancy. Table S9. Comparison of the association of own smoking in adults and SHS in children with serum metabolites, ordered by metabolite name. Table S10. Comparison of the association of own smoking in adults and SHS in children with blood miRNA expression, ordered by miRNA name. Table S11. Comparison of the association of own smoking in adults and SHS in children with blood gene expression, ordered by p-value in children (sustained maternal smoking in pregnancy). Table S12. Comparison of the association of own smoking in adults and SHS in children with blood DNA methylation, ordered by p-value in children (sustained maternal smoking in pregnancy). Table S13. Association of maternal smoking in pregnancy and child DNA methylation levels adjusted for home-SHS. Table S14. Association of maternal smoking in pregnancy and child molecular phenotypes adjusted for home-SHS. Table S15. Association of maternal smoking in pregnancy and child DNA methylation levels unadjusted for global-SHS. Table S16. Association of maternal smoking in pregnancy and child molecular phenotypes unadjusted for global-SHS. Table S17. Association of childhood SHS and child molecular phenotypes unadjusted for sustained maternal smoking in pregnancy. Table S18. Association of maternal smoking in pregnancy and child DNA methylation levels in European ancestry children adjusted for global-SHS. Table S19. Association of maternal smoking in pregnancy and child molecular phenotypes in European ancestry children adjusted for global-SHS. Table S20. 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Years of enrollment in the cohort, years of HELIX vist and years when smoking was banned in each cohort (country). Table S2. Proteins targeted in each of the three Magnetic Human Luminex kits from Life Technologies. Table S3. Association of maternal smoking in pregnancy and child blood DNA methylation levels adjusted for global-SHS, ordered by chromosome position. Table S4. eQTM analyses: Association between child blood DNA methylation levels at 41 CpG sites vs. child blood expression levels of genes within ±500 kb, ordered by p-value. Table S5. Association between maternal smoking in pregnancy and child blood expression levels of top genes, ordered by p-value of sustained maternal smoking in pregnancy. Table S6. Association between maternal smoking in pregnancy and child blood expression levels of genes within ±500 kb, ordered by p-value of sustained- maternal smoking in pregnancy. Table S7. Association of maternal smoking in pregnancy and child molecular phenotypes adjusted for global-SHS. Table S8. Association of childhood SHS and child molecular phenotpyes adjusted for sustained maternal smoking in pregnancy. Table S9. Comparison of the association of own smoking in adults and SHS in children with serum metabolites, ordered by metabolite name. Table S10. Comparison of the association of own smoking in adults and SHS in children with blood miRNA expression, ordered by miRNA name. Table S11. Comparison of the association of own smoking in adults and SHS in children with blood gene expression, ordered by p-value in children (sustained maternal smoking in pregnancy). Table S12. Comparison of the association of own smoking in adults and SHS in children with blood DNA methylation, ordered by p-value in children (sustained maternal smoking in pregnancy). Table S13. Association of maternal smoking in pregnancy and child DNA methylation levels adjusted for home-SHS. Table S14. Association of maternal smoking in pregnancy and child molecular phenotypes adjusted for home-SHS. Table S15. Association of maternal smoking in pregnancy and child DNA methylation levels unadjusted for global-SHS. Table S16. Association of maternal smoking in pregnancy and child molecular phenotypes unadjusted for global-SHS. Table S17. Association of childhood SHS and child molecular phenotypes unadjusted for sustained maternal smoking in pregnancy. Table S18. Association of maternal smoking in pregnancy and child DNA methylation levels in European ancestry children adjusted for global-SHS. Table S19. Association of maternal smoking in pregnancy and child molecular phenotypes in European ancestry children adjusted for global-SHS. Table S20. 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title Additional file 1 of In utero and childhood exposure to tobacco smoke and multi-layer molecular signatures in children
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