M R Zandoná1, C N Sangalli1,2, P D B Campagnolo3, M R Vitolo1,2, S Almeida1, V S Mattevi1. 1. Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre, Porto Alegre, RS, Brazil. 2. Nutrition Research Group (NUPEN), Federal University of Health Sciences of Porto Alegre, Porto Alegre, RS, Brazil. 3. Department of Nutrition, Vale do Rio do Sinos University, São Leopoldo, RS, Brazil.
Abstract
BACKGROUND: The prevalence of childhood obesity has been dramatically increasing in developing countries as it has been reported for developed nations. Identifying susceptibility genes in early life could provide the foundations for interventions in lifestyle to prevent obese children to become obese adults. OBJECTIVES: The objective of this study was to evaluate the influence of genetic variants related to obesity identified by genome-wide association studies (MC4R, TMEM18, KCTD15, SH2B1, SEC16B, BDNF, NEGR1, OLFM4 and HOXB5 genes) on anthropometric and dietary phenotypes in two Brazilian cohorts followed-up since birth. METHODS: There were 745 children examined at birth, after 1 year and after 3.5 years of follow-up. Ten single nucleotide polymorphisms were genotyped. Anthropometric and dietary parameters were compared among genotypes. Children were classified as overweight when body mass index Z-score was >+1. RESULTS: Overweight prevalence was 30.7% at 3.5 years old. Significant associations were identified at 3.5 years old for TMEM18 rs6548238, NEGR1 rs2815752, BDNF rs10767664 and rs6265 (1 year old and 3.5 years old) with anthropometric phenotypes and at 3.5 years old for SEC16B rs10913469 with dietary parameters. CONCLUSIONS: Our results indicate that genetic variants in/near these genes contribute to obesity susceptibility in childhood and highlight the age at which they begin to affect obesity-related phenotypes.
BACKGROUND: The prevalence of childhood obesity has been dramatically increasing in developing countries as it has been reported for developed nations. Identifying susceptibility genes in early life could provide the foundations for interventions in lifestyle to prevent obesechildren to become obese adults. OBJECTIVES: The objective of this study was to evaluate the influence of genetic variants related to obesity identified by genome-wide association studies (MC4R, TMEM18, KCTD15, SH2B1, SEC16B, BDNF, NEGR1, OLFM4 and HOXB5 genes) on anthropometric and dietary phenotypes in two Brazilian cohorts followed-up since birth. METHODS: There were 745 children examined at birth, after 1 year and after 3.5 years of follow-up. Ten single nucleotide polymorphisms were genotyped. Anthropometric and dietary parameters were compared among genotypes. Children were classified as overweight when body mass index Z-score was >+1. RESULTS: Overweight prevalence was 30.7% at 3.5 years old. Significant associations were identified at 3.5 years old for TMEM18rs6548238, NEGR1rs2815752, BDNFrs10767664 and rs6265 (1 year old and 3.5 years old) with anthropometric phenotypes and at 3.5 years old for SEC16Brs10913469 with dietary parameters. CONCLUSIONS: Our results indicate that genetic variants in/near these genes contribute to obesity susceptibility in childhood and highlight the age at which they begin to affect obesity-related phenotypes.
Authors: Fanomezana M Ranaivoson; Liam S Turk; Sinem Ozgul; Sumie Kakehi; Sventja von Daake; Nicole Lopez; Laura Trobiani; Antonella De Jaco; Natalia Denissova; Borries Demeler; Engin Özkan; Gaetano T Montelione; Davide Comoletti Journal: Structure Date: 2019-04-04 Impact factor: 5.006
Authors: Jonathan P Bradfield; Suzanne Vogelezang; Janine F Felix; Alessandra Chesi; Øyvind Helgeland; Momoko Horikoshi; Ville Karhunen; Estelle Lowry; Diana L Cousminer; Tarunveer S Ahluwalia; Elisabeth Thiering; Eileen Tai-Hui Boh; Mohammad H Zafarmand; Natalia Vilor-Tejedor; Carol A Wang; Raimo Joro; Zhanghua Chen; William J Gauderman; Niina Pitkänen; Esteban J Parra; Lindsay Fernandez-Rhodes; Akram Alyass; Claire Monnereau; John A Curtin; Christian T Have; Shana E McCormack; Mette Hollensted; Christine Frithioff-Bøjsøe; Adan Valladares-Salgado; Jesus Peralta-Romero; Yik-Ying Teo; Marie Standl; Jaakko T Leinonen; Jens-Christian Holm; Triinu Peters; Jesus Vioque; Martine Vrijheid; Angela Simpson; Adnan Custovic; Marc Vaudel; Mickaël Canouil; Virpi Lindi; Mustafa Atalay; Mika Kähönen; Olli T Raitakari; Barbera D C van Schaik; Robert I Berkowitz; Shelley A Cole; V Saroja Voruganti; Yujie Wang; Heather M Highland; Anthony G Comuzzie; Nancy F Butte; Anne E Justice; Sheila Gahagan; Estela Blanco; Terho Lehtimäki; Timo A Lakka; Johannes Hebebrand; Amélie Bonnefond; Niels Grarup; Philippe Froguel; Leo-Pekka Lyytikäinen; Miguel Cruz; Sayuko Kobes; Robert L Hanson; Babette S Zemel; Anke Hinney; Koon K Teo; David Meyre; Kari E North; Frank D Gilliland; Hans Bisgaard; Mariona Bustamante; Klaus Bonnelykke; Craig E Pennell; Fernando Rivadeneira; André G Uitterlinden; Leslie J Baier; Tanja G M Vrijkotte; Joachim Heinrich; Thorkild I A Sørensen; Seang-Mei Saw; Oluf Pedersen; Torben Hansen; Johan Eriksson; Elisabeth Widén; Mark I McCarthy; Pål R Njølstad; Christine Power; Elina Hyppönen; Sylvain Sebert; Christopher D Brown; Marjo-Riitta Järvelin; Nicholas J Timpson; Stefan Johansson; Hakon Hakonarson; Vincent W V Jaddoe; S F A Grant Journal: Hum Mol Genet Date: 2019-10-01 Impact factor: 6.150
Authors: Gabriel Vaisam Castro; Ana Frederica Sutter Latorre; Fabíola Pozza Korndorfer; Lia Kubelka de Carlos Back; Sara Emelie Lofgren Journal: Biochem Genet Date: 2021-05-31 Impact factor: 1.890