Jiajing Wang1, Hongmei Zhang2, Faisal I Rezwan3, Caroline Relton4,5, S Hasan Arshad6,7, John W Holloway8,7. 1. Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA. 2. Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA. hzhang6@memphis.edu. 3. School of Water, Energy and Environment, Cranfield University, Cranfield, MK43 0AL, Bedfordshire, UK. 4. MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK. 5. Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK. 6. The David Hide Asthma and Allergy Research Centre, St Mary's, Hospital, Parkhurst Road, Newport, PO30 5TG, Isle of Wight, UK. 7. Faculty of Medicine, Human Development and Health, University of Southampton, Southampton, SO16 6YD, UK. 8. Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK.
Abstract
BACKGROUND: Previous studies have shown that DNA methylation (DNAm) is associated with body mass index (BMI). However, it is unknown whether DNAm at pre-adolescence is associated with BMI status transition from pre- to post-adolescence. In the Isle of Wight (IoW) birth cohort, genome-wide DNA methylation in whole blood was measured using Illumina Infinium Human450 and EPIC BeadChip arrays in n = 325 subjects, and pre- to post-adolescence BMI transition was classified into four groups: (1) normal to normal, (2) normal to overweight or obese, (3) overweight or obese to normal, and (4) persistent overweight or obese. We used recursive random forest to screen genome-wide Cytosine-phosphate-Guanine (CpG) sites with DNAm potentially associated with BMI transition for each gender, and the association of BMI status transition with DNAm at an earlier age was assessed via logistic regressions. To evaluate gender specificity, interactions between DNAm and gender were included in the model. Findings in the IoW cohort were further tested in an independent cohort, the Avon Longitudinal Study of Parents and Children (ALSPAC). RESULTS: In total, 174 candidate CpGs were selected including CpGs from screening and CpGs previously associated correctionally with BMI in children and adults. Of these 174 CpGs, pre-adolescent DNAm of 38 CpGs in the IoW cohort was associated with BMI status transition, including 30 CpGs showing gender-specific associations. Thirteen CpGs showed consistent associations between the IoW cohort and the ALSPAC cohort (11 of which were gender-specific). CONCLUSION: Pre-adolescence DNAm is associated with the change in BMI status from pre- to post-adolescence and such associations are likely to be gender-specific.
BACKGROUND: Previous studies have shown that DNA methylation (DNAm) is associated with body mass index (BMI). However, it is unknown whether DNAm at pre-adolescence is associated with BMI status transition from pre- to post-adolescence. In the Isle of Wight (IoW) birth cohort, genome-wide DNA methylation in whole blood was measured using Illumina Infinium Human450 and EPIC BeadChip arrays in n = 325 subjects, and pre- to post-adolescence BMI transition was classified into four groups: (1) normal to normal, (2) normal to overweight or obese, (3) overweight or obese to normal, and (4) persistent overweight or obese. We used recursive random forest to screen genome-wide Cytosine-phosphate-Guanine (CpG) sites with DNAm potentially associated with BMI transition for each gender, and the association of BMI status transition with DNAm at an earlier age was assessed via logistic regressions. To evaluate gender specificity, interactions between DNAm and gender were included in the model. Findings in the IoW cohort were further tested in an independent cohort, the Avon Longitudinal Study of Parents and Children (ALSPAC). RESULTS: In total, 174 candidate CpGs were selected including CpGs from screening and CpGs previously associated correctionally with BMI in children and adults. Of these 174 CpGs, pre-adolescent DNAm of 38 CpGs in the IoW cohort was associated with BMI status transition, including 30 CpGs showing gender-specific associations. Thirteen CpGs showed consistent associations between the IoW cohort and the ALSPAC cohort (11 of which were gender-specific). CONCLUSION: Pre-adolescence DNAm is associated with the change in BMI status from pre- to post-adolescence and such associations are likely to be gender-specific.
Entities:
Keywords:
Adolescence; BMI status transition; Body mass index (BMI); DNA methylation; Longitudinal; Obesity
Authors: Devin C Koestler; Brock Christensen; Margaret R Karagas; Carmen J Marsit; Scott M Langevin; Karl T Kelsey; John K Wiencke; E Andres Houseman Journal: Epigenetics Date: 2013-06-25 Impact factor: 4.528
Authors: Srikant Ambatipudi; Steve Horvath; Flavie Perrier; Cyrille Cuenin; Hector Hernandez-Vargas; Florence Le Calvez-Kelm; Geoffroy Durand; Graham Byrnes; Pietro Ferrari; Liacine Bouaoun; Athena Sklias; Véronique Chajes; Kim Overvad; Gianluca Severi; Laura Baglietto; Françoise Clavel-Chapelon; Rudolf Kaaks; Myrto Barrdahl; Heiner Boeing; Antonia Trichopoulou; Pagona Lagiou; Androniki Naska; Giovanna Masala; Claudia Agnoli; Silvia Polidoro; Rosario Tumino; Salvatore Panico; Martijn Dollé; Petra H M Peeters; N Charlotte Onland-Moret; Torkjel M Sandanger; Therese H Nøst; Elisabete Weiderpass; J Ramón Quirós; Antonio Agudo; Miguel Rodriguez-Barranco; José María Huerta Castaño; Aurelio Barricarte; Ander Matheu Fernández; Ruth C Travis; Paolo Vineis; David C Muller; Elio Riboli; Marc Gunter; Isabelle Romieu; Zdenko Herceg Journal: Eur J Cancer Date: 2017-02-28 Impact factor: 9.162
Authors: Andy Boyd; Jean Golding; John Macleod; Debbie A Lawlor; Abigail Fraser; John Henderson; Lynn Molloy; Andy Ness; Susan Ring; George Davey Smith Journal: Int J Epidemiol Date: 2012-04-16 Impact factor: 7.196
Authors: Benjamin Lehne; Alexander W Drong; Marie Loh; Weihua Zhang; William R Scott; Sian-Tsung Tan; Uzma Afzal; James Scott; Marjo-Riitta Jarvelin; Paul Elliott; Mark I McCarthy; Jaspal S Kooner; John C Chambers Journal: Genome Biol Date: 2015-02-15 Impact factor: 13.583
Authors: Kate Northstone; Melanie Lewcock; Alix Groom; Andy Boyd; John Macleod; Nicholas Timpson; Nicholas Wells Journal: Wellcome Open Res Date: 2019-03-14
Authors: Florianne O L Vehmeijer; Leanne K Küpers; Gemma C Sharp; Lucas A Salas; Samantha Lent; Dereje D Jima; Gwen Tindula; Sarah Reese; Cancan Qi; Olena Gruzieva; Christian Page; Faisal I Rezwan; Philip E Melton; Ellen Nohr; Geòrgia Escaramís; Peter Rzehak; Anni Heiskala; Tong Gong; Samuli T Tuominen; Lu Gao; Jason P Ross; Anne P Starling; John W Holloway; Paul Yousefi; Gunn Marit Aasvang; Lawrence J Beilin; Anna Bergström; Elisabeth Binder; Leda Chatzi; Eva Corpeleijn; Darina Czamara; Brenda Eskenazi; Susan Ewart; Natalia Ferre; Veit Grote; Dariusz Gruszfeld; Siri E Håberg; Cathrine Hoyo; Karen Huen; Robert Karlsson; Inger Kull; Jean-Paul Langhendries; Johanna Lepeule; Maria C Magnus; Rachel L Maguire; Peter L Molloy; Claire Monnereau; Trevor A Mori; Emily Oken; Katri Räikkönen; Sheryl Rifas-Shiman; Carlos Ruiz-Arenas; Sylvain Sebert; Vilhelmina Ullemar; Elvira Verduci; Judith M Vonk; Cheng-Jian Xu; Ivana V Yang; Hongmei Zhang; Weiming Zhang; Wilfried Karmaus; Dana Dabelea; Beverly S Muhlhausler; Carrie V Breton; Jari Lahti; Catarina Almqvist; Marjo-Riitta Jarvelin; Berthold Koletzko; Martine Vrijheid; Thorkild I A Sørensen; Rae-Chi Huang; Syed Hasan Arshad; Wenche Nystad; Erik Melén; Gerard H Koppelman; Stephanie J London; Nina Holland; Mariona Bustamante; Susan K Murphy; Marie-France Hivert; Andrea Baccarelli; Caroline L Relton; Harold Snieder; Vincent W V Jaddoe; Janine F Felix Journal: Genome Med Date: 2020-11-25 Impact factor: 11.117
Authors: Janine F Felix; Bonnie R Joubert; Andrea A Baccarelli; Gemma C Sharp; Catarina Almqvist; Isabella Annesi-Maesano; Hasan Arshad; Nour Baïz; Marian J Bakermans-Kranenburg; Kelly M Bakulski; Elisabeth B Binder; Luigi Bouchard; Carrie V Breton; Bert Brunekreef; Kelly J Brunst; Esteban G Burchard; Mariona Bustamante; Leda Chatzi; Monica Cheng Munthe-Kaas; Eva Corpeleijn; Darina Czamara; Dana Dabelea; George Davey Smith; Patrick De Boever; Liesbeth Duijts; Terence Dwyer; Celeste Eng; Brenda Eskenazi; Todd M Everson; Fahimeh Falahi; M Daniele Fallin; Sara Farchi; Mariana F Fernandez; Lu Gao; Tom R Gaunt; Akram Ghantous; Matthew W Gillman; Semira Gonseth; Veit Grote; Olena Gruzieva; Siri E Håberg; Zdenko Herceg; Marie-France Hivert; Nina Holland; John W Holloway; Cathrine Hoyo; Donglei Hu; Rae-Chi Huang; Karen Huen; Marjo-Riitta Järvelin; Dereje D Jima; Allan C Just; Margaret R Karagas; Robert Karlsson; Wilfried Karmaus; Katerina J Kechris; Juha Kere; Manolis Kogevinas; Berthold Koletzko; Gerard H Koppelman; Leanne K Küpers; Christine Ladd-Acosta; Jari Lahti; Nathalie Lambrechts; Sabine A S Langie; Rolv T Lie; Andrew H Liu; Maria C Magnus; Per Magnus; Rachel L Maguire; Carmen J Marsit; Wendy McArdle; Erik Melén; Phillip Melton; Susan K Murphy; Tim S Nawrot; Lorenza Nisticò; Ellen A Nohr; Björn Nordlund; Wenche Nystad; Sam S Oh; Emily Oken; Christian M Page; Patrice Perron; Göran Pershagen; Costanza Pizzi; Michelle Plusquin; Katri Raikkonen; Sarah E Reese; Eva Reischl; Lorenzo Richiardi; Susan Ring; Ritu P Roy; Peter Rzehak; Greet Schoeters; David A Schwartz; Sylvain Sebert; Harold Snieder; Thorkild I A Sørensen; Anne P Starling; Jordi Sunyer; Jack A Taylor; Henning Tiemeier; Vilhelmina Ullemar; Marina Vafeiadi; Marinus H Van Ijzendoorn; Judith M Vonk; Annette Vriens; Martine Vrijheid; Pei Wang; Joseph L Wiemels; Allen J Wilcox; Rosalind J Wright; Cheng-Jian Xu; Zongli Xu; Ivana V Yang; Paul Yousefi; Hongmei Zhang; Weiming Zhang; Shanshan Zhao; Golareh Agha; Caroline L Relton; Vincent W V Jaddoe; Stephanie J London Journal: Int J Epidemiol Date: 2018-02-01 Impact factor: 7.196