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1. The Association Between Metabolic Syndrome and Frailty in Healthy Community-Dwelling Older Adults

Author

Ekram, A R M Saifuddin, Espinoza, Sara, Ernst, Michael, Beilin, Lawrence, Stocks, Nigel P, Ryan, Joanne, and Woods, Robyn

Subjects
Abstracts, Session 4395 (Paper), Health (social science), AcademicSubjects/SOC02600, Life-span and Life-course Studies, Frailty Measurement, Health Professions (miscellaneous)
Abstract

This study examined the association between metabolic syndrome (MetS) and frailty status in relatively healthy community-dwelling older adults. Participants included 19,114 individuals from the “ASPirin in Reducing Events in the Elderly” (ASPREE) trial. The diagnostic criteria for MetS were according to the International Diabetes Federation Task Force on Epidemiology and Prevention and the American Heart Association/National Heart, Lung, and Blood Institute (2009); and comprised any three of five parameters: waist circumference, triglycerides, fasting blood glucose, high-density lipoprotein cholesterol or hypertension. Frailty and prefrailty were defined using a modified Fried phenotype (FP) comprising exhaustion, body mass index, grip strength, gait speed and physical activity and a deficit accumulation frailty index (FI) of 66 items. The association between MetS and frailty was examined using multinomial logistic regression. At baseline, 51.1% of participants met the criteria of MetS; of those, 41.8% and 2.5 % were prefrail and frail, respectively, according to Fried phenotype, while 49.6% and 11.8 % were prefrail and frail, respectively, according to FI. MetS at baseline was associated with an increased likelihood of prefrailty (RRR: 1.25; 95% CI: 1.17, 1.33) and frailty (RRR: 1.60; 95% CI: 1.28, 2.01) compared to no frailty after adjustment for potential confounders according to Fried phenotype, while the association was stronger for prefrailty (RRR: 2.74; 95% CI: 2.55, 2.94) and frailty (RRR: 5.30; 95% CI: 4.60, 6.11) according to FI. Overall, at baseline, more than half of the participants had MetS, and the presence of MetS was significantly associated with pre-frailty and frailty.

Published
2021
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2. Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight

Author

Küpers, Leanne K, Monnereau, Claire, Sharp, Gemma C, Yousefi, Paul, Salas, Lucas A, Ghantous, Akram, Page, Christian M, Reese, Sarah E, Wilcox, Allen J, Czamara, Darina, Starling, Anne P, Novoloaca, Alexei, Lent, Samantha, Roy, Ritu, Hoyo, Cathrine, Breton, Carrie V, Allard, Catherine, Just, Allan C, Bakulski, Kelly M, Holloway, John W, Everson, Todd M, Xu, Cheng-Jian, Huang, Rae-Chi, van der Plaat, Diana A, Wielscher, Matthias, Merid, Simon Kebede, Ullemar, Vilhelmina, Rezwan, Faisal I, Lahti, Jari, van Dongen, Jenny, Langie, Sabine AS, Richardson, Tom G, Magnus, Maria C, Nohr, Ellen A, Xu, Zongli, Duijts, Liesbeth, Zhao, Shanshan, Zhang, Weiming, Plusquin, Michelle, DeMeo, Dawn L, Solomon, Olivia, Heimovaara, Joosje H, Jima, Dereje D, Gao, Lu, Bustamante, Mariona, Perron, Patrice, Wright, Robert O, Hertz-Picciotto, Irva, Zhang, Hongmei, Karagas, Margaret R, Gehring, Ulrike, Marsit, Carmen J, Beilin, Lawrence J, Vonk, Judith M, Jarvelin, Marjo-Riitta, Bergström, Anna, Örtqvist, Anne K, Ewart, Susan, Villa, Pia M, Moore, Sophie E, Willemsen, Gonneke, Standaert, Arnout RL, Håberg, Siri E, Sørensen, Thorkild IA, Taylor, Jack A, Räikkönen, Katri, Yang, Ivana V, Kechris, Katerina, Nawrot, Tim S, Silver, Matt J, Gong, Yun Yun, Richiardi, Lorenzo, Kogevinas, Manolis, Litonjua, Augusto A, Eskenazi, Brenda, Huen, Karen, Mbarek, Hamdi, Maguire, Rachel L, Dwyer, Terence, Vrijheid, Martine, Bouchard, Luigi, Baccarelli, Andrea A, Croen, Lisa A, Karmaus, Wilfried, Anderson, Denise, de Vries, Maaike, Sebert, Sylvain, Kere, Juha, Karlsson, Robert, Arshad, Syed Hasan, Hämäläinen, Esa, Routledge, Michael N, Boomsma, Dorret I, Feinberg, Andrew P, Newschaffer, Craig J, Govarts, Eva, Moisse, Matthieu, Fallin, M Daniele, Melén, Erik, and Prentice, Andrew M

Subjects
Adult, Male, Adolescent, Reproductive health and childbirth, Body Mass Index, Fetal Development, Fetus, Folic Acid, Genetic, Pregnancy, Infant Mortality, Genetics, 2.1 Biological and endogenous factors, Humans, Birth Weight, Aetiology, Child, Pediatric, Genome, Human Genome, Smoking, Infant, DNA, DNA Methylation, Newborn, Good Health and Well Being, Prenatal Exposure Delayed Effects, CpG Islands, Female, Epigenesis, Human, Genome-Wide Association Study
Abstract

Birthweight is associated with health outcomes across the life course, DNA methylation may be an underlying mechanism. In this meta-analysis of epigenome-wide association studies of 8,825 neonates from 24 birth cohorts in the Pregnancy And Childhood Epigenetics Consortium, we find that DNA methylation in neonatal blood is associated with birthweight at 914 sites, with a difference in birthweight ranging from -183 to 178 grams per 10% increase in methylation (PBonferroni

Published
2019

3. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

Author

Couto Alves, Alexessander, De Silva, N Maneka G, Karhunen, Ville, Sovio, Ulla, Das, Shikta, Taal, H Rob, Warrington, Nicole M, Lewin, Alexandra M, Kaakinen, Marika, Cousminer, Diana L, Thiering, Elisabeth, Timpson, Nicholas J, Bond, Tom A, Lowry, Estelle, Brown, Christopher D, Estivill, Xavier, Lindi, Virpi, Bradfield, Jonathan P, Geller, Frank, Speed, Doug, Coin, Lachlan J M, Loh, Marie, Barton, Sheila J, Beilin, Lawrence J, Bisgaard, Hans, Bønnelykke, Klaus, Alili, Rohia, Hatoum, Ida J, Schramm, Katharina, Cartwright, Rufus, Charles, Marie-Aline, Salerno, Vincenzo, Clément, Karine, Claringbould, Annique A J, Van Duijn, Cornelia M, Moltchanova, Elena, Eriksson, Johan G, Elks, Cathy, Feenstra, Bjarke, Flexeder, Claudia, Franks, Stephen, Frayling, Timothy M, Freathy, Rachel M, Elliott, Paul, Widén, Elisabeth, Hakonarson, Hakon, Hattersley, Andrew T, Rodriguez, Alina, Banterle, Marco, Heinrich, Joachim, Heude, Barbara, Holloway, John W, Hofman, Albert, Hyppönen, Elina, Inskip, Hazel, Kaplan, Lee M, Hedman, Asa K, Läärä, Esa, Prokisch, Holger, Grallert, Harald, Lakka, Timo A, Lawlor, Debbie A, Melbye, Mads, Ahluwalia, Tarunveer S, Marinelli, Marcella, Millwood, Iona Y, Palmer, Lyle J, Pennell, Craig E, Perry, John R, Ring, Susan M, Savolainen, Markku J, Rivadeneira, Fernando, Standl, Marie, Sunyer, Jordi, Tiesler, Carla M T, Uitterlinden, Andre G, Schierding, William, O'Sullivan, Justin M, Prokopenko, Inga, Herzig, Karl-Heinz, Smith, George Davey, O'Reilly, Paul, Felix, Janine F, Buxton, Jessica L, Blakemore, Alexandra I F, Ong, Ken K, Jaddoe, Vincent W V, Grant, Struan F A, Sebert, Sylvain, McCarthy, Mark I, Järvelin, Marjo-Riitta, Erasmus MC other, Epidemiology, Internal Medicine, Pediatrics, Medical Research Council (MRC), Sovio, Ulla [0000-0002-0799-1105], Perry, John [0000-0001-6483-3771], Ong, Kenneth [0000-0003-4689-7530], Apollo - University of Cambridge Repository, Warrington, Nicole M [0000-0003-4195-775X], Lewin, Alexandra M [0000-0003-0081-7582], Kaakinen, Marika [0000-0002-9228-0462], Cousminer, Diana L [0000-0001-8864-7893], Timpson, Nicholas J [0000-0002-7141-9189], Lowry, Estelle [0000-0002-4655-416X], Brown, Christopher D [0000-0002-3785-5008], Estivill, Xavier [0000-0002-0723-2256], Geller, Frank [0000-0002-9238-3269], Speed, Doug [0000-0002-0096-9765], Coin, Lachlan J M [0000-0002-4300-455X], Loh, Marie [0000-0003-3626-8466], Barton, Sheila J [0000-0003-4963-4242], Alili, Rohia [0000-0002-0158-4250], Schramm, Katharina [0000-0002-8809-3170], Charles, Marie-Aline [0000-0003-4025-4390], Claringbould, Annique A J [0000-0002-9201-6557], van Duijn, Cornelia M [0000-0002-2374-9204], Feenstra, Bjarke [0000-0003-1478-649X], Frayling, Timothy M [0000-0001-8362-2603], Freathy, Rachel M [0000-0003-4152-2238], Widén, Elisabeth [0000-0001-7108-2806], Hakonarson, Hakon [0000-0003-2814-7461], Rodriguez, Alina [0000-0003-1209-8802], Heude, Barbara [0000-0002-1565-1629], Holloway, John W [0000-0001-9998-0464], Hofman, Albert [0000-0002-9865-121X], Hyppönen, Elina [0000-0003-3670-9399], Inskip, Hazel [0000-0001-8897-1749], Kaplan, Lee M [0000-0002-6301-2696], Prokisch, Holger [0000-0003-2379-6286], Lakka, Timo A [0000-0002-9199-2871], Lawlor, Debbie A [0000-0002-6793-2262], Melbye, Mads [0000-0001-8264-6785], Ahluwalia, Tarunveer S [0000-0002-7464-3354], Marinelli, Marcella [0000-0002-5450-3960], Palmer, Lyle J [0000-0002-1628-3055], Pennell, Craig E [0000-0002-0937-6165], Perry, John R [0000-0001-6483-3771], Ring, Susan M [0000-0003-3103-9330], Savolainen, Markku J [0000-0002-2557-6423], Rivadeneira, Fernando [0000-0001-9435-9441], Sunyer, Jordi [0000-0002-2602-4110], Schierding, William [0000-0001-5659-2701], O'Sullivan, Justin M [0000-0003-2927-450X], Prokopenko, Inga [0000-0003-1624-7457], Smith, George Davey [0000-0002-1407-8314], Felix, Janine F [0000-0002-9801-5774], Ong, Ken K [0000-0003-4689-7530], Jaddoe, Vincent W V [0000-0003-2939-0041], Sebert, Sylvain [0000-0001-6681-6983], McCarthy, Mark I [0000-0002-4393-0510], and Järvelin, Marjo-Riitta [0000-0002-2149-0630]

Subjects
Adult, Male, Pharmacogenomic Variants, Quantitative Trait Loci, BLOOD-PRESSURE, 030209 endocrinology & metabolism, Polymorphism, Single Nucleotide, Body Mass Index, EARLY-LIFE, 03 medical and health sciences, AGE, Quantitative Trait, Heritable, 0302 clinical medicine, Humans, Genetic Predisposition to Disease, Longitudinal Studies, 030212 general & internal medicine, GENOME-WIDE ASSOCIATION, METABOLIC RISK, Growth Charts, FTO GENE, Child, Research Articles, Genetic Association Studies, Adaptor Proteins, Signal Transducing, 2. Zero hunger, Science & Technology, BIRTH COHORT, Intracellular Signaling Peptides and Proteins, nutritional and metabolic diseases, SciAdv r-articles, Infant, Human Genetics, Genomics, 3. Good health, Multidisciplinary Sciences, BODY-MASS INDEX, OBESITY, Science & Technology - Other Topics, Receptors, Leptin, ADIPOSITY, Female, biological, Research Article, Genome-Wide Association Study
Abstract

Longitudinal data find a new variant controlling BMI in infancy and reveal genetic differences between infant and adult BMI., Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health. We found a robust overlap between the genetics of child and adult body mass index (BMI), with variants associated with adult BMI acting as early as 4 to 6 years old. However, we demonstrated a completely distinct genetic makeup for peak BMI during infancy, influenced by variation at the LEPR/LEPROT locus. These findings suggest that different genetic factors control infant and child BMI. In light of the obesity epidemic, these findings are important to inform the timing and targets of prevention strategies.

Published
2019

4. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

Author

Couto Alves, Alexessander, De Silva, N. Maneka G., Karhunen, Ville, Sovio, Ulla, Das, Shikta, Taal, H. Rob, Warrington, Nicole M., Lewin, Alexandra M., Kaakinen, Marika, Cousminer, Diana L., Thiering, Elisabeth, Timpson, Nicholas J., Bond, Tom A., Lowry, Estelle, Brown, Christopher D., Estivill, Xavier, Lindi, Virpi, Bradfield, Jonathan P., Geller, Frank, Speed, Doug, Coin, Lachlan J. M., Loh, Marie, Barton, Sheila J., Beilin, Lawrence J., Bisgaard, Hans, Bønnelykke, Klaus, Alili, Rohia, Hatoum, Ida J., Schramm, Katharina, Cartwright, Rufus, Charles, Marie-Aline, Salerno, Vincenzo, Clément, Karine, Claringbould, Annique A. J., van Duijn, Cornelia M., Moltchanova, Elena, Eriksson, Johan G., Elks, Cathy, Feenstra, Bjarke, Flexeder, Claudia, Franks, Stephen, Frayling, Timothy M., Freathy, Rachel M., Elliott, Paul, Widén, Elisabeth, Hakonarson, Hakon, Hattersley, Andrew T., Rodriguez, Alina, Banterle, Marco, Heinrich, Joachim, Heude, Barbara, Holloway, John W., Hofman, Albert, Hyppönen, Elina, Inskip, Hazel, Kaplan, Lee M., Hedman, Asa K., Läärä, Esa, Prokisch, Holger, Grallert, Harald, Lakka, Timo A., Lawlor, Debbie A., Melbye, Mads, Ahluwalia, Tarunveer S., Marinelli, Marcella, Millwood, Iona Y., Palmer, Lyle J., Pennell, Craig E., Perry, John R., Ring, Susan M., Savolainen, Markku J., Rivadeneira, Fernando, Standl, Marie, Sunyer, Jordi, Tiesler, Carla M. T., Uitterlinden, Andre G., Schierding, William, O’Sullivan, Justin M., Prokopenko, Inga, Herzig, Karl-Heinz, Smith, George Davey, O'Reilly, Paul, Felix, Janine F., Buxton, Jessica L., Blakemore, Alexandra I. F., Ong, Ken K., Jaddoe, Vincent W. V., Grant, Struan F. A., Sebert, Sylvain, McCarthy, Mark I., and Järvelin, Marjo-Riitta

Subjects
ddc
Published
2018

5. Additional file 1: Table S1. of Sex differences in the association of phospholipids with components of the metabolic syndrome in young adults

Author

Rauschert, Sebastian, Uhl, Olaf, Koletzko, Berthold, Mori, Trevor, Beilin, Lawrence, Oddy, Wendy, and Hellmuth, Christian

Abstract

Results for the regression model of the unstratified population with the five MetS. Table S2â S4. Results of the Regression model with Metabolite concentration as outcome and two-level sex variable as predictor. Table S5. Results for the ANOVA for the five MetS Factors. Table S6: Results for the group testing after the Anova. Table S6.1. Results for the testing of hfemales versus nhfemales. Table 6.2. Results for the testing of males versus hfemales. Table S6.3. Results for the testing of males versus nhfemales. Table 7. Median, 25% and 75% quartile for every metabolite (215) of the Raine Study metabolomics dataset stratified by males and non-hormonal and hormonal contraceptive-taking females. Table S7.1. Non-hormonal contraceptive-taking females. Table S7.2. Hormonal contraceptive-taking females. Table S7.3. Male subset. (DOCX 530 kb)

Published
2017
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6. Additional file 1: Table S1. of Sex differences in the association of phospholipids with components of the metabolic syndrome in young adults

Author

Rauschert, Sebastian, Uhl, Olaf, Koletzko, Berthold, Mori, Trevor, Beilin, Lawrence, Oddy, Wendy, and Hellmuth, Christian

Abstract

Results for the regression model of the unstratified population with the five MetS. Table S2â S4. Results of the Regression model with Metabolite concentration as outcome and two-level sex variable as predictor. Table S5. Results for the ANOVA for the five MetS Factors. Table S6: Results for the group testing after the Anova. Table S6.1. Results for the testing of hfemales versus nhfemales. Table 6.2. Results for the testing of males versus hfemales. Table S6.3. Results for the testing of males versus nhfemales. Table 7. Median, 25% and 75% quartile for every metabolite (215) of the Raine Study metabolomics dataset stratified by males and non-hormonal and hormonal contraceptive-taking females. Table S7.1. Non-hormonal contraceptive-taking females. Table S7.2. Hormonal contraceptive-taking females. Table S7.3. Male subset. (DOCX 530 kb)

Published
2017
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8. Additional file 2 of DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

Author

Vehmeijer, Florianne O. L., Küpers, Leanne K., Sharp, Gemma C., Salas, Lucas A., Lent, Samantha, Dereje D. Jima, Tindula, Gwen, Reese, Sarah, Cancan Qi, Gruzieva, Olena, Page, Christian, Rezwan, Faisal I., Melton, Philip E., Nohr, Ellen, Geòrgia Escaramís, Rzehak, Peter, Heiskala, Anni, Gong, Tong, Tuominen, Samuli T., Gao, Lu, Ross, Jason P., Starling, Anne P., Holloway, John W., Yousefi, Paul, Aasvang, Gunn Marit, Beilin, Lawrence J., Bergström, Anna, Binder, Elisabeth, Chatzi, Leda, Corpeleijn, Eva, Czamara, Darina, Eskenazi, Brenda, Ewart, Susan, Ferre, Natalia, Grote, Veit, Gruszfeld, Dariusz, Håberg, Siri E., Hoyo, Cathrine, Huen, Karen, Karlsson, Robert, Kull, Inger, Langhendries, Jean-Paul, Lepeule, Johanna, Magnus, Maria C., Maguire, Rachel L., Molloy, Peter L., Monnereau, Claire, Mori, Trevor A., Oken, Emily, Räikkönen, Katri, Rifas-Shiman, Sheryl, Ruiz-Arenas, Carlos, Sebert, Sylvain, Ullemar, Vilhelmina, Verduci, Elvira, Vonk, Judith M., Xu, Cheng-Jian, Yang, Ivana V., Hongmei Zhang, Weiming Zhang, Karmaus, Wilfried, Dabelea, Dana, Muhlhausler, Beverly S., Breton, Carrie V., Lahti, Jari, Almqvist, Catarina, Marjo-Riitta Jarvelin, Koletzko, Berthold, Vrijheid, Martine, Sørensen, Thorkild I. A., Rae-Chi Huang, Arshad, Syed Hasan, Nystad, Wenche, Melén, Erik, Koppelman, Gerard H., London, Stephanie J., Holland, Nina, Mariona Bustamante, Murphy, Susan K., Marie-France Hivert, Baccarelli, Andrea, Relton, Caroline L., Snieder, Harold, Jaddoe, Vincent W. V., and Felix, Janine F.

Subjects
2. Zero hunger
Abstract

Additional file 2: Supplementary Methods. Study-specific funding, acknowledgements and methods in alphabetical order, including references.

9. Additional file 5 of DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

Author

Vehmeijer, Florianne O. L., Küpers, Leanne K., Sharp, Gemma C., Salas, Lucas A., Lent, Samantha, Dereje D. Jima, Tindula, Gwen, Reese, Sarah, Cancan Qi, Gruzieva, Olena, Page, Christian, Rezwan, Faisal I., Melton, Philip E., Nohr, Ellen, Geòrgia Escaramís, Rzehak, Peter, Heiskala, Anni, Gong, Tong, Tuominen, Samuli T., Gao, Lu, Ross, Jason P., Starling, Anne P., Holloway, John W., Yousefi, Paul, Aasvang, Gunn Marit, Beilin, Lawrence J., Bergström, Anna, Binder, Elisabeth, Chatzi, Leda, Corpeleijn, Eva, Czamara, Darina, Eskenazi, Brenda, Ewart, Susan, Ferre, Natalia, Grote, Veit, Gruszfeld, Dariusz, Håberg, Siri E., Hoyo, Cathrine, Huen, Karen, Karlsson, Robert, Kull, Inger, Langhendries, Jean-Paul, Lepeule, Johanna, Magnus, Maria C., Maguire, Rachel L., Molloy, Peter L., Monnereau, Claire, Mori, Trevor A., Oken, Emily, Räikkönen, Katri, Rifas-Shiman, Sheryl, Ruiz-Arenas, Carlos, Sebert, Sylvain, Ullemar, Vilhelmina, Verduci, Elvira, Vonk, Judith M., Xu, Cheng-Jian, Yang, Ivana V., Hongmei Zhang, Weiming Zhang, Karmaus, Wilfried, Dabelea, Dana, Muhlhausler, Beverly S., Breton, Carrie V., Lahti, Jari, Almqvist, Catarina, Marjo-Riitta Jarvelin, Koletzko, Berthold, Vrijheid, Martine, Sørensen, Thorkild I. A., Rae-Chi Huang, Arshad, Syed Hasan, Nystad, Wenche, Melén, Erik, Koppelman, Gerard H., London, Stephanie J., Holland, Nina, Mariona Bustamante, Murphy, Susan K., Marie-France Hivert, Baccarelli, Andrea, Relton, Caroline L., Snieder, Harold, Jaddoe, Vincent W. V., and Felix, Janine F.

Subjects
2. Zero hunger
Abstract

Additional file 5: Supplementary Information. Figures S1 – 6.

10. Additional file 5 of DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

Author

Vehmeijer, Florianne O. L., Küpers, Leanne K., Sharp, Gemma C., Salas, Lucas A., Lent, Samantha, Dereje D. Jima, Tindula, Gwen, Reese, Sarah, Cancan Qi, Gruzieva, Olena, Page, Christian, Rezwan, Faisal I., Melton, Philip E., Nohr, Ellen, Geòrgia Escaramís, Rzehak, Peter, Heiskala, Anni, Gong, Tong, Tuominen, Samuli T., Gao, Lu, Ross, Jason P., Starling, Anne P., Holloway, John W., Yousefi, Paul, Aasvang, Gunn Marit, Beilin, Lawrence J., Bergström, Anna, Binder, Elisabeth, Chatzi, Leda, Corpeleijn, Eva, Czamara, Darina, Eskenazi, Brenda, Ewart, Susan, Ferre, Natalia, Grote, Veit, Gruszfeld, Dariusz, Håberg, Siri E., Hoyo, Cathrine, Huen, Karen, Karlsson, Robert, Kull, Inger, Langhendries, Jean-Paul, Lepeule, Johanna, Magnus, Maria C., Maguire, Rachel L., Molloy, Peter L., Monnereau, Claire, Mori, Trevor A., Oken, Emily, Räikkönen, Katri, Rifas-Shiman, Sheryl, Ruiz-Arenas, Carlos, Sebert, Sylvain, Ullemar, Vilhelmina, Verduci, Elvira, Vonk, Judith M., Xu, Cheng-Jian, Yang, Ivana V., Hongmei Zhang, Weiming Zhang, Karmaus, Wilfried, Dabelea, Dana, Muhlhausler, Beverly S., Breton, Carrie V., Lahti, Jari, Almqvist, Catarina, Marjo-Riitta Jarvelin, Koletzko, Berthold, Vrijheid, Martine, Sørensen, Thorkild I. A., Rae-Chi Huang, Arshad, Syed Hasan, Nystad, Wenche, Melén, Erik, Koppelman, Gerard H., London, Stephanie J., Holland, Nina, Mariona Bustamante, Murphy, Susan K., Marie-France Hivert, Baccarelli, Andrea, Relton, Caroline L., Snieder, Harold, Jaddoe, Vincent W. V., and Felix, Janine F.

Subjects
2. Zero hunger
Abstract

Additional file 5: Supplementary Information. Figures S1 – 6.

11. Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

Author

Vogelezang, Suzanne, Bradfield, Jonathan P., Ahluwalia, Tarunveer S., Curtin, John A., Lakka, Timo A., Grarup, Niels, Scholz, Markus, Van Der Most, Peter J., Monnereau, Claire, Stergiakouli, Evie, Heiskala, Anni, Horikoshi, Momoko, Fedko, Iryna O., Vilor-Tejedor, Natalia, Cousminer, Diana L., Standl, Marie, Wang, Carol A., Viikari, Jorma, Geller, Frank, Íñiguez, Carmen, Pitkänen, Niina, Chesi, Alessandra, Bacelis, Jonas, Yengo, Loic, Torrent, Maties, Ntalla, Ioanna, Helgeland, Øyvind, Selzam, Saskia, Vonk, Judith M., Zafarmand, Mohammed H., Heude, Barbara, Farooqi, Ismaa Sadaf, Alyass, Akram, Beaumont, Robin N., Have, Christian T., Rzehak, Peter, Bilbao, Jose Ramon, Schnurr, Theresia M., Barroso, Inês, Bønnelykke, Klaus, Beilin, Lawrence J., Carstensen, Lisbeth, Charles, Marie-Aline, Chawes, Bo, Clément, Karine, Closa-Monasterolo, Ricardo, Custovic, Adnan, Eriksson, Johan G., Escribano, Joaquin, Groen-Blokhuis, Maria, Grote, Veit, Gruszfeld, Dariusz, Hakonarson, Hakon, Hansen, Torben, Hattersley, Andrew T., Hollensted, Mette, Hottenga, Jouke-Jan, Hyppönen, Elina, Johansson, Stefan, Joro, Raimo, Kähönen, Mika, Karhunen, Ville, Kiess, Wieland, Knight, Bridget A., Koletzko, Berthold, Kühnapfel, Andreas, Landgraf, Kathrin, Langhendries, Jean-Paul, Lehtimäki, Terho, Leinonen, Jaakko T., Li, Aihuali, Lindi, Virpi, Lowry, Estelle, Bustamante, Mariona, Medina-Gomez, Carolina, Melbye, Mads, Michaelsen, Kim F., Morgen, Camilla S., Mori, Trevor A., Nielsen, Tenna R. H., Niinikoski, Harri, Oldehinkel, Albertine J., Pahkala, Katja, Panoutsopoulou, Kalliope, Pedersen, Oluf, Pennell, Craig E., Power, Christine, Reijneveld, Sijmen A., Rivadeneira, Fernando, Simpson, Angela, Sly, Peter D., Stokholm, Jakob, Teo, Kook K., Thiering, Elisabeth, Timpson, Nicholas J., Uitterlinden, André G., Van Beijsterveldt, Catharina E. M., Van Schaik, Barbera D. C., Vaudel, Marc, Verduci, Elvira, Vinding, Rebecca K., Vogel, Mandy, Zeggini, Eleftheria, Sebert, Sylvain, Lind, Mads V., Brown, Christopher D., Santa-Marina, Loreto, Reischl, Eva, Frithioff-Bøjsøe, Christine, Meyre, David, Wheeler, Eleanor, Ong, Ken, Nohr, Ellen A., Vrijkotte, Tanja G. M., Koppelman, Gerard H., Plomin, Robert, Njølstad, Pål R., Dedoussis, George D., Froguel, Philippe, Sørensen, Thorkild I. A., Jacobsson, Bo, Freathy, Rachel M., Zemel, Babette S., Raitakari, Olli, Vrijheid, Martine, Feenstra, Bjarke, Lyytikäinen, Leo-Pekka, Snieder, Harold, Kirsten, Holger, Holt, Patrick G., Heinrich, Joachim, Widén, Elisabeth, Sunyer, Jordi, Boomsma, Dorret I., Järvelin, Marjo-Riitta, Körner, Antje, Davey Smith, George, Holm, Jens-Christian, Atalay, Mustafa, Murray, Clare, Bisgaard, Hans, McCarthy, Mark I., Early Growth Genetics Consortium, Jaddoe, Vincent W. V., Grant, Struan F. A., and Felix, Janine F.

Subjects
2. Zero hunger, Research and analysis methods, Physical sciences, Medicine and health sciences, Biology and life sciences, nutritional and metabolic diseases, FOS: Physical sciences, Research Article
Abstract

The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located near NEDD4L and SLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 diabetes were detected (Rg ranging from 0.11 to 0.76, P-values

13. Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

Author

Vogelezang, Suzanne, Bradfield, Jonathan P, Ahluwalia, Tarunveer S, Curtin, John A, Lakka, Timo A, Grarup, Niels, Scholz, Markus, Van Der Most, Peter J, Monnereau, Claire, Stergiakouli, Evie, Heiskala, Anni, Horikoshi, Momoko, Fedko, Iryna O, Vilor-Tejedor, Natalia, Cousminer, Diana L, Standl, Marie, Wang, Carol A, Viikari, Jorma, Geller, Frank, Íñiguez, Carmen, Pitkänen, Niina, Chesi, Alessandra, Bacelis, Jonas, Yengo, Loic, Torrent, Maties, Ntalla, Ioanna, Helgeland, Øyvind, Selzam, Saskia, Vonk, Judith M, Zafarmand, Mohammed H, Heude, Barbara, Farooqi, Ismaa Sadaf, Alyass, Akram, Beaumont, Robin N, Have, Christian T, Rzehak, Peter, Bilbao, Jose Ramon, Schnurr, Theresia M, Barroso, Inês, Bønnelykke, Klaus, Beilin, Lawrence J, Carstensen, Lisbeth, Charles, Marie-Aline, Chawes, Bo, Clément, Karine, Closa-Monasterolo, Ricardo, Custovic, Adnan, Eriksson, Johan G, Escribano, Joaquin, Groen-Blokhuis, Maria, Grote, Veit, Gruszfeld, Dariusz, Hakonarson, Hakon, Hansen, Torben, Hattersley, Andrew T, Hollensted, Mette, Hottenga, Jouke-Jan, Hyppönen, Elina, Johansson, Stefan, Joro, Raimo, Kähönen, Mika, Karhunen, Ville, Kiess, Wieland, Knight, Bridget A, Koletzko, Berthold, Kühnapfel, Andreas, Landgraf, Kathrin, Langhendries, Jean-Paul, Lehtimäki, Terho, Leinonen, Jaakko T, Li, Aihuali, Lindi, Virpi, Lowry, Estelle, Bustamante, Mariona, Medina-Gomez, Carolina, Melbye, Mads, Michaelsen, Kim F, Morgen, Camilla S, Mori, Trevor A, Nielsen, Tenna RH, Niinikoski, Harri, Oldehinkel, Albertine J, Pahkala, Katja, Panoutsopoulou, Kalliope, Pedersen, Oluf, Pennell, Craig E, Power, Christine, Reijneveld, Sijmen A, Rivadeneira, Fernando, Simpson, Angela, Sly, Peter D, Stokholm, Jakob, Teo, Kook K, Thiering, Elisabeth, Timpson, Nicholas J, Uitterlinden, André G, Van Beijsterveldt, Catharina EM, Van Schaik, Barbera DC, Vaudel, Marc, Verduci, Elvira, Vinding, Rebecca K, Vogel, Mandy, Zeggini, Eleftheria, Sebert, Sylvain, Lind, Mads V, Brown, Christopher D, Santa-Marina, Loreto, Reischl, Eva, Frithioff-Bøjsøe, Christine, Meyre, David, Wheeler, Eleanor, Ong, Ken, Nohr, Ellen A, Vrijkotte, Tanja GM, Koppelman, Gerard H, Plomin, Robert, Njølstad, Pål R, Dedoussis, George D, Froguel, Philippe, Sørensen, Thorkild IA, Jacobsson, Bo, Freathy, Rachel M, Zemel, Babette S, Raitakari, Olli, Vrijheid, Martine, Feenstra, Bjarke, Lyytikäinen, Leo-Pekka, Snieder, Harold, Kirsten, Holger, Holt, Patrick G, Heinrich, Joachim, Widén, Elisabeth, Sunyer, Jordi, Boomsma, Dorret I, Järvelin, Marjo-Riitta, Körner, Antje, Davey Smith, George, Holm, Jens-Christian, Atalay, Mustafa, Murray, Clare, Bisgaard, Hans, McCarthy, Mark I, Early Growth Genetics Consortium, Jaddoe, Vincent WV, Grant, Struan FA, and Felix, Janine F

Subjects
2. Zero hunger, Adult, Male, Menarche, Adolescent, Monosaccharide Transport Proteins, Waist-Hip Ratio, Nedd4 Ubiquitin Protein Ligases, nutritional and metabolic diseases, Cardiometabolic Risk Factors, Blood Pressure, Mendelian Randomization Analysis, 3. Good health, Body Mass Index, Diabetes Mellitus, Type 2, Cardiovascular Diseases, Child, Preschool, Humans, Female, Genetic Predisposition to Disease, Child, Genome-Wide Association Study
Abstract

The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located near NEDD4L and SLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 diabetes were detected (Rg ranging from 0.11 to 0.76, P-values

14. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

Author

Couto Alves, Alexessander, De Silva, N Maneka G, Karhunen, Ville, Sovio, Ulla, Das, Shikta, Taal, H Rob, Warrington, Nicole M, Lewin, Alexandra M, Kaakinen, Marika, Cousminer, Diana L, Thiering, Elisabeth, Timpson, Nicholas J, Bond, Tom A, Lowry, Estelle, Brown, Christopher D, Estivill, Xavier, Lindi, Virpi, Bradfield, Jonathan P, Geller, Frank, Speed, Doug, Coin, Lachlan JM, Loh, Marie, Barton, Sheila J, Beilin, Lawrence J, Bisgaard, Hans, Bønnelykke, Klaus, Alili, Rohia, Hatoum, Ida J, Schramm, Katharina, Cartwright, Rufus, Charles, Marie-Aline, Salerno, Vincenzo, Clément, Karine, Claringbould, Annique AJ, Van Duijn, Cornelia M, Moltchanova, Elena, Eriksson, Johan G, Elks, Cathy, Feenstra, Bjarke, Flexeder, Claudia, Franks, Stephen, Frayling, Timothy M, Freathy, Rachel M, Elliott, Paul, Widén, Elisabeth, Hakonarson, Hakon, Hattersley, Andrew T, Rodriguez, Alina, Banterle, Marco, Heinrich, Joachim, Heude, Barbara, Holloway, John W, Hofman, Albert, Hyppönen, Elina, Inskip, Hazel, Kaplan, Lee M, Hedman, Asa K, Läärä, Esa, Prokisch, Holger, Grallert, Harald, Lakka, Timo A, Lawlor, Debbie A, Melbye, Mads, Ahluwalia, Tarunveer S, Marinelli, Marcella, Millwood, Iona Y, Palmer, Lyle J, Pennell, Craig E, Perry, John R, Ring, Susan M, Savolainen, Markku J, Rivadeneira, Fernando, Standl, Marie, Sunyer, Jordi, Tiesler, Carla MT, Uitterlinden, Andre G, Schierding, William, O’Sullivan, Justin M, Prokopenko, Inga, Herzig, Karl-Heinz, Smith, George Davey, O'Reilly, Paul, Felix, Janine F, Buxton, Jessica L, Blakemore, Alexandra IF, Ong, Ken K, Jaddoe, Vincent WV, Grant, Struan FA, Sebert, Sylvain, McCarthy, Mark I, and Järvelin, Marjo-Riitta

Subjects
2. Zero hunger, Adult, Male, Pharmacogenomic Variants, Quantitative Trait Loci, Intracellular Signaling Peptides and Proteins, Infant, Genomics, Polymorphism, Single Nucleotide, Body Mass Index, Quantitative Trait, Heritable, Humans, Receptors, Leptin, Female, Genetic Predisposition to Disease, Longitudinal Studies, Growth Charts, Child, Genetic Association Studies, Adaptor Proteins, Signal Transducing, Genome-Wide Association Study
Abstract

Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health. We found a robust overlap between the genetics of child and adult body mass index (BMI), with variants associated with adult BMI acting as early as 4 to 6 years old. However, we demonstrated a completely distinct genetic makeup for peak BMI during infancy, influenced by variation at the LEPR/LEPROT locus. These findings suggest that different genetic factors control infant and child BMI. In light of the obesity epidemic, these findings are important to inform the timing and targets of prevention strategies.

15. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

Author

Warrington, Nicole M, Beaumont, Robin N, Horikoshi, Momoko, Day, Felix R, Helgeland, Øyvind, Laurin, Charles, Bacelis, Jonas, Peng, Shouneng, Hao, Ke, Feenstra, Bjarke, Wood, Andrew R, Mahajan, Anubha, Tyrrell, Jessica, Robertson, Neil R, Rayner, N William, Qiao, Zhen, Moen, Gunn-Helen, Vaudel, Marc, Marsit, Carmen J, Chen, Jia, Nodzenski, Michael, Schnurr, Theresia M, Zafarmand, Mohammad H, Bradfield, Jonathan P, Grarup, Niels, Kooijman, Marjolein N, Li-Gao, Ruifang, Geller, Frank, Ahluwalia, Tarunveer S, Paternoster, Lavinia, Rueedi, Rico, Huikari, Ville, Hottenga, Jouke-Jan, Lyytikäinen, Leo-Pekka, Cavadino, Alana, Metrustry, Sarah, Cousminer, Diana L, Wu, Ying, Thiering, Elisabeth, Wang, Carol A, Have, Christian T, Vilor-Tejedor, Natalia, Joshi, Peter K, Painter, Jodie N, Ntalla, Ioanna, Myhre, Ronny, Pitkänen, Niina, Van Leeuwen, Elisabeth M, Joro, Raimo, Lagou, Vasiliki, Richmond, Rebecca C, Espinosa, Ana, Barton, Sheila J, Inskip, Hazel M, Holloway, John W, Santa-Marina, Loreto, Estivill, Xavier, Ang, Wei, Marsh, Julie A, Reichetzeder, Christoph, Marullo, Letizia, Hocher, Berthold, Lunetta, Kathryn L, Murabito, Joanne M, Relton, Caroline L, Kogevinas, Manolis, Chatzi, Leda, Allard, Catherine, Bouchard, Luigi, Hivert, Marie-France, Zhang, Ge, Muglia, Louis J, Heikkinen, Jani, EGG Consortium, Morgen, Camilla S, Van Kampen, Antoine HC, Van Schaik, Barbera DC, Mentch, Frank D, Langenberg, Claudia, Luan, Jian'an, Scott, Robert A, Zhao, Jing Hua, Hemani, Gibran, Ring, Susan M, Bennett, Amanda J, Gaulton, Kyle J, Fernandez-Tajes, Juan, Van Zuydam, Natalie R, Medina-Gomez, Carolina, De Haan, Hugoline G, Rosendaal, Frits R, Kutalik, Zoltán, Marques-Vidal, Pedro, Das, Shikta, Willemsen, Gonneke, Mbarek, Hamdi, Müller-Nurasyid, Martina, Standl, Marie, Appel, Emil VR, Fonvig, Cilius E, Trier, Caecilie, Van Beijsterveldt, Catharina EM, Murcia, Mario, Bustamante, Mariona, Bonas-Guarch, Sílvia, Hougaard, David M, Mercader, Josep M, Linneberg, Allan, Schraut, Katharina E, Lind, Penelope A, Medland, Sarah E, Shields, Beverley M, Knight, Bridget A, Chai, Jin-Fang, Panoutsopoulou, Kalliope, Bartels, Meike, Sánchez, Friman, Stokholm, Jakob, Torrents, David, Vinding, Rebecca K, Willems, Sara M, Atalay, Mustafa, Chawes, Bo L, Kovacs, Peter, Prokopenko, Inga, Tuke, Marcus A, Yaghootkar, Hanieh, Ruth, Katherine S, Jones, Samuel E, Loh, Po-Ru, Murray, Anna, Weedon, Michael N, Tönjes, Anke, Stumvoll, Michael, Michaelsen, Kim F, Eloranta, Aino-Maija, Lakka, Timo A, Van Duijn, Cornelia M, Kiess, Wieland, Körner, Antje, Niinikoski, Harri, Pahkala, Katja, Raitakari, Olli T, Jacobsson, Bo, Zeggini, Eleftheria, Dedoussis, George V, Teo, Yik-Ying, Saw, Seang-Mei, Montgomery, Grant W, Campbell, Harry, Wilson, James F, Vrijkotte, Tanja GM, Vrijheid, Martine, De Geus, Eco JCN, Hayes, M Geoffrey, Kadarmideen, Haja N, Holm, Jens-Christian, Beilin, Lawrence J, Pennell, Craig E, Heinrich, Joachim, Adair, Linda S, Borja, Judith B, Mohlke, Karen L, Eriksson, Johan G, Widén, Elisabeth E, Hattersley, Andrew T, Spector, Tim D, Kähönen, Mika, Viikari, Jorma S, Lehtimäki, Terho, Boomsma, Dorret I, Sebert, Sylvain, Vollenweider, Peter, Sørensen, Thorkild IA, Bisgaard, Hans, Bønnelykke, Klaus, Murray, Jeffrey C, Melbye, Mads, Nohr, Ellen A, Mook-Kanamori, Dennis O, Rivadeneira, Fernando, Hofman, Albert, Felix, Janine F, Jaddoe, Vincent WV, Hansen, Torben, Pisinger, Charlotta, Vaag, Allan A, Pedersen, Oluf, Uitterlinden, André G, Järvelin, Marjo-Riitta, Power, Christine, Hyppönen, Elina, Scholtens, Denise M, Lowe, William L, Davey Smith, George, Timpson, Nicholas J, Morris, Andrew P, Wareham, Nicholas J, Hakonarson, Hakon, Grant, Struan FA, Frayling, Timothy M, Lawlor, Debbie A, Njølstad, Pål R, Johansson, Stefan, Ong, Ken K, McCarthy, Mark I, Perry, John RB, Evans, David M, and Freathy, Rachel M

Subjects
Adult, Male, Heart Diseases, Models, Genetic, Infant, Newborn, Blood Pressure, Polymorphism, Single Nucleotide, Body Height, 3. Good health, Fetal Development, Diabetes Mellitus, Type 2, Metabolic Diseases, Pregnancy, Risk Factors, Birth Weight, Humans, Female, Genetic Predisposition to Disease, Maternal Inheritance, Maternal-Fetal Exchange, Genome-Wide Association Study
Abstract

Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.

16. Additional file 2 of DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

Author

Vehmeijer, Florianne O. L., Küpers, Leanne K., Sharp, Gemma C., Salas, Lucas A., Lent, Samantha, Dereje D. Jima, Tindula, Gwen, Reese, Sarah, Cancan Qi, Gruzieva, Olena, Page, Christian, Rezwan, Faisal I., Melton, Philip E., Nohr, Ellen, Geòrgia Escaramís, Rzehak, Peter, Heiskala, Anni, Gong, Tong, Tuominen, Samuli T., Gao, Lu, Ross, Jason P., Starling, Anne P., Holloway, John W., Yousefi, Paul, Aasvang, Gunn Marit, Beilin, Lawrence J., Bergström, Anna, Binder, Elisabeth, Chatzi, Leda, Corpeleijn, Eva, Czamara, Darina, Eskenazi, Brenda, Ewart, Susan, Ferre, Natalia, Grote, Veit, Gruszfeld, Dariusz, Håberg, Siri E., Hoyo, Cathrine, Huen, Karen, Karlsson, Robert, Kull, Inger, Langhendries, Jean-Paul, Lepeule, Johanna, Magnus, Maria C., Maguire, Rachel L., Molloy, Peter L., Monnereau, Claire, Mori, Trevor A., Oken, Emily, Räikkönen, Katri, Rifas-Shiman, Sheryl, Ruiz-Arenas, Carlos, Sebert, Sylvain, Ullemar, Vilhelmina, Verduci, Elvira, Vonk, Judith M., Xu, Cheng-Jian, Yang, Ivana V., Hongmei Zhang, Weiming Zhang, Karmaus, Wilfried, Dabelea, Dana, Muhlhausler, Beverly S., Breton, Carrie V., Lahti, Jari, Almqvist, Catarina, Marjo-Riitta Jarvelin, Koletzko, Berthold, Vrijheid, Martine, Sørensen, Thorkild I. A., Rae-Chi Huang, Arshad, Syed Hasan, Nystad, Wenche, Melén, Erik, Koppelman, Gerard H., London, Stephanie J., Holland, Nina, Mariona Bustamante, Murphy, Susan K., Marie-France Hivert, Baccarelli, Andrea, Relton, Caroline L., Snieder, Harold, Jaddoe, Vincent W. V., and Felix, Janine F.

Subjects
2. Zero hunger
Abstract

Additional file 2: Supplementary Methods. Study-specific funding, acknowledgements and methods in alphabetical order, including references.

17. Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta-analysis of European, North American and Australian cohorts

Author

Eleni Papadopoulou, Andrea von Berg, Camilla Stoltenberg, Luca Ronfani, Romy Gaillard, Marie Standl, Martine Vrijheid, Sheila McDonald, Yannis Manios, Anne M. Karvonen, Marie-Aline Charles, George P. Chrousos, Daniela Porta, Anne-Marie Nybo Andersen, Keith M. Godfrey, Carol Ní Chaoimh, Costanza Pizzi, Marleen M.H.J. van Gelder, Lawrence J. Beilin, Ana Cristina Santos, Camilla Schmidt Morgen, Monique Mommers, Hazel Inskip, Alet H. Wijga, Per Magnus, Marie-France Hivert, Nel Roeleveld, Lenie van Rossem, Tanja G. M. Vrijkotte, Barbara Heude, Jane West, Steve Turner, Myriam Doyon, Thorkild I. A. Sørensen, Adriëtte J J M Oostvogels, Carel Thijs, Erik Melén, Merete Eggesbø, Maties Torrent, Irina Lehmann, Davide Gori, Susana Santos, Emily Oken, Berthold Koletzko, Ellis Voerman, John Wright, Agnieszka Pac, Pilar Amiano, Sarah Crozier, John Mehegan, Hein Stigum, Louise C. Kenny, Vincent W. V. Jaddoe, Deirdre M. Murray, Debbie A Lawlor, Francesco Forastiere, Johanna Mäkelä, Lorenzo Richiardi, Anna Bergström, Fionnuala M. McAuliffe, Elisabeth Thiering, Nathalie Costet, Hanna Lagström, Juha Pekkanen, Sheryl L. Rifas-Shiman, George Moschonis, Renata Majewska, Kinga Polańska, Rae-Chi Huang, Graham Devereux, Veit Grote, Leanne K. Küpers, Irva Hertz-Picciotto, Eva Corpeleijn, Ellen A. Nohr, Leda Chatzi, Olga Costa, Oleksandr Zvinchuk, Sara Farchi, Cécile Chevrier, Vagelis Georgiu, Tomas Trnovec, Henrique Barros, Maria Pia Fantini, Suzanne Tough, Wojciech Hanke, Daniel O. Hryhorczuk, Pediatrics, Erasmus MC other, Epidemiology, Reproductive Origins of Adult Health and Disease (ROAHD), Lifestyle Medicine (LM), Complexe Genetica, RS: NUTRIM - R3 - Respiratory & Age-related Health, Epidemiologie, RS: CAPHRI - R5 - Optimising Patient Care, ARD - Amsterdam Reproduction and Development, APH - Health Behaviors & Chronic Diseases, APH - Aging & Later Life, Public and occupational health, APH - Methodology, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Keck School of Medicine [Los Angeles], University of Southern California (USC), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Azienda Sanitaria Locale [ROMA] (ASL), Norwegian Institute of Public Health [Oslo] (NIPH), Santos, Susana, Voerman, Elli, Amiano, Pilar, Barros, Henrique, Beilin, Lawrence J, Bergström, Anna, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P, Corpeleijn, Eva, Costa, Olga, Costet, Nathalie, Crozier, Sarah, Devereux, Graham, Doyon, Myriam, Eggesbø, Merete, Fantini, Maria Pia, Farchi, Sara, Forastiere, Francesco, Georgiu, Vageli, Godfrey, Keith M, Gori, Davide, Grote, Veit, Hanke, Wojciech, Hertz-Picciotto, Irva, Heude, Barbara, Hivert, Marie-France, Hryhorczuk, Daniel, Huang, Rae-Chi, Inskip, Hazel, Karvonen, Anne M, Kenny, Louise C, Koletzko, Berthold, Küpers, Leanne K, Lagström, Hanna, Lehmann, Irina, Magnus, Per, Majewska, Renata, Mäkelä, Johanna, Manios, Yanni, McAuliffe, Fionnuala M, McDonald, Sheila W, Mehegan, John, Melén, Erik, Mommers, Monique, Morgen, Camilla S, Moschonis, George, Murray, Deirdre, Chaoimh, Carol Ní, Nohr, Ellen A, Nybo Andersen, Anne-Marie, Oken, Emily, Oostvogels, Adriëtte J J M, Pac, Agnieszka, Papadopoulou, Eleni, Pekkanen, Juha, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L, Roeleveld, Nel, Ronfani, Luca, Santos, Ana C, Standl, Marie, Stigum, Hein, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Matie, Tough, Suzanne C, Trnovec, Toma, Turner, Steve, van Gelder, Marleen M H J, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja G M, West, Jane, Wijga, Alet H, Wright, John, Zvinchuk, Oleksandr, Sørensen, Thorkild I A, Lawlor, Debbie A, Gaillard, Romy, Jaddoe, Vincent W V, Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Public Health, and University of Helsinki

Subjects
Gestational hypertension, and promotion of well-being, Nutrition and Disease, Birthweight, Reproductive health and childbirth, Low Birth Weight and Health of the Newborn, Cardiovascular, Medical and Health Sciences, DISEASE, Cohort Studies, 0302 clinical medicine, 3123 Gynaecology and paediatrics, Risk Factors, Pregnancy, Voeding en Ziekte, Infant Mortality, Odds Ratio, Medicine, Birth Weight, 2.1 Biological and endogenous factors, EPIDEMIOLOGY, wq_200, Aetiology, 2. Zero hunger, Pediatric, RISK, education.field_of_study, OUTCOMES, 030219 obstetrics & reproductive medicine, Obstetrics, pregnancy complications, Diabetes, Obstetrics and Gynecology, Gestational age, weight gain, ASSOCIATION, Gestational Weight Gain, Gestational diabetes, Europe, Body Mass Index, Pregnancy Complications, Preterm Birth, Weight Gain, OBESITY, Female, medicine.symptom, Adult, medicine.medical_specialty, PRETERM BIRTH, Birth weight, Population, Gestational Age, body mass index, [SDV.MHEP.GEO]Life Sciences [q-bio]/Human health and pathology/Gynecology and obstetrics, wa_310, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, Preterm, Clinical Research, Humans, wq_100, Obesity, education, Obstetrics & Reproductive Medicine, Metabolic and endocrine, Nutrition, business.industry, Contraception/Reproduction, Prevention, preterm birth, Australia, Infant, birth weight, DIABETES-MELLITUS, Preterm birth weight gain, Overweight, Perinatal Period - Conditions Originating in Perinatal Period, medicine.disease, Newborn, Prevention of disease and conditions, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Good Health and Well Being, North America, 3.1 Primary prevention interventions to modify behaviours or promote wellbeing, pregnancy complication, business, Weight gain, Body mass index, wb_200
Abstract

ObjectiveTo assess the separate and combined associations of maternal pre‐pregnancy body mass index (BMI) and gestational weight gain with the risks of pregnancy complications and their population impact.DesignIndividual participant data meta‐analysis of 39 cohorts.SettingEurope, North America, and Oceania.Population265 270 births.MethodsInformation on maternal pre‐pregnancy BMI, gestational weight gain, and pregnancy complications was obtained. Multilevel binary logistic regression models were used.Main outcome measuresGestational hypertension, pre‐eclampsia, gestational diabetes, preterm birth, small and large for gestational age at birth.ResultsHigher maternal pre‐pregnancy BMI and gestational weight gain were, across their full ranges, associated with higher risks of gestational hypertensive disorders, gestational diabetes, and large for gestational age at birth. Preterm birth risk was higher at lower and higher BMI and weight gain. Compared with normal weight mothers with medium gestational weight gain, obese mothers with high gestational weight gain had the highest risk of any pregnancy complication (odds ratio 2.51, 95% CI 2.31– 2.74). We estimated that 23.9% of any pregnancy complication was attributable to maternal overweight/obesity and 31.6% of large for gestational age infants was attributable to excessive gestational weight gain.ConclusionsMaternal pre‐pregnancy BMI and gestational weight gain are, across their full ranges, associated with risks of pregnancy complications. Obese mothers with high gestational weight gain are at the highest risk of pregnancy complications. Promoting a healthy pre‐pregnancy BMI and gestational weight gain may reduce the burden of pregnancy complications and ultimately the risk of maternal and neonatal morbidity.Tweetable abstractPromoting a healthy body mass index and gestational weight gain might reduce the population burden of pregnancy complications.

Published
2019
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