Associations Between Gene-Gene Interaction and Overweight/Obesity of 12-Month-Old Chinese Infants

Overview

Journal Biomed Res Int

Publisher Wiley

Specialties Biomedical Engineering
Biotechnology
General Medicine

Date 2022 Mar 17

PMID 35295960

Authors

Hong Mei

Baoming Yin

Wenhong Yang

Jingli Zhang

Hongyan Lu

Xiaobin Qi

Wenhua Mei

Hongzhong Zhang

Jianduan Zhang

Affiliations

Soon will be listed here.

Abstract

Background: Childhood overweight and obesity (OW/OB) is a worldwide public health problem, and its genetic risks remain unclear.

Objectives: To investigate risks of OW/OB associated with genetic variances in rs543874 and rs10913469, rs11030104 and rs6265, rs11191580, rs11165675, rs2531995, rs7869969, rs2237892, and rs2968990 in Chinese infants at 12-month old.

Methods: We conducted a case-control study with 734 infants included at delivery and followed up to 12-month old. The classification and regression tree analysis were used to generate the structure of the gene-gene interactions, while the unconditional multivariate logistic regression models were applied to analyze the single SNP, gene-gene interactions, and cumulative effects of the genotypes on OW/OB, adjusted for potential confounders.

Results: There were 219 (29.84%) OW/OB infants. Rs543874 G allele and rs11030104 AA genotype increased the risk of OW/OB in 12-month-old infants ( < 0.05). Those carrying both rs11030104 AA genotype and rs10913469 C allele had 4.3 times greater OW/OB than those carrying rs11030104 G allele, rs11191580 C allele, rs11165675 A allele, and rs543874 AA genotype. Meanwhile, the risk of OW/OB increased with the number of the risk genotypes individuals harbored.

Conclusions: Rs543874, rs11030104, and rs11191580 were associated with OW/OB in 12-month-old Chinese infants, and the three SNPs together with rs10913469 and rs11165675 had a combined effect on OW/OB.

Citing Articles

Assessing efficiency of fine-mapping obesity-associated variants through leveraging ancestry architecture and functional annotation using PAGE and UKBB cohorts.

Anwar M, Graff M, Highland H, Smit R, Wang Z, Buchanan V Hum Genet. 2023; 142(10):1477-1489.

PMID: 37658231 PMC: 11512743. DOI: 10.1007/s00439-023-02593-7.

References

Keppetipola N, Sharma S, Li Q, Black D . Neuronal regulation of pre-mRNA splicing by polypyrimidine tract binding proteins, PTBP1 and PTBP2. Crit Rev Biochem Mol Biol. 2012; 47(4):360-78. PMC: 3422667. DOI: 10.3109/10409238.2012.691456. View

Jones A, Ickes S, Smith L, Mbuya M, Chasekwa B, Heidkamp R . World Health Organization infant and young child feeding indicators and their associations with child anthropometry: a synthesis of recent findings. Matern Child Nutr. 2013; 10(1):1-17. PMC: 6860255. DOI: 10.1111/mcn.12070. View

Liu F, Song J, Shang X, Meng X, Ma J, Wang H . The gene-gene interaction of INSIG-SCAP-SREBP pathway on the risk of obesity in Chinese children. Biomed Res Int. 2014; 2014:538564. PMC: 4083216. DOI: 10.1155/2014/538564. View

Li Z, Jiang J, Long J, Ling W, Huang G, Guo X . The rs11191580 variant of the NT5C2 gene is associated with schizophrenia and symptom severity in a South Chinese Han population: evidence from GWAS. Braz J Psychiatry. 2016; 39(2):104-109. PMC: 7111442. DOI: 10.1590/1516-4446-2016-1958. View

Kim T, Roesler N, von dem Knesebeck O . Causation or selection - examining the relation between education and overweight/obesity in prospective observational studies: a meta-analysis. Obes Rev. 2017; 18(6):660-672. DOI: 10.1111/obr.12537. View

Goytain A, Quamme G . Functional characterization of ACDP2 (ancient conserved domain protein), a divalent metal transporter. Physiol Genomics. 2005; 22(3):382-9. DOI: 10.1152/physiolgenomics.00058.2005. View

Kernie S, Liebl D, Parada L . BDNF regulates eating behavior and locomotor activity in mice. EMBO J. 2000; 19(6):1290-300. PMC: 305670. DOI: 10.1093/emboj/19.6.1290. View

Felix J, Bradfield J, Monnereau C, van der Valk R, Stergiakouli E, Chesi A . Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. Hum Mol Genet. 2015; 25(2):389-403. PMC: 4854022. DOI: 10.1093/hmg/ddv472. View

Smemo S, Tena J, Kim K, Gamazon E, Sakabe N, Gomez-Marin C . Obesity-associated variants within FTO form long-range functional connections with IRX3. Nature. 2014; 507(7492):371-5. PMC: 4113484. DOI: 10.1038/nature13138. View

10.

Swinburn B, Vandevijvere S . WHO report on ending childhood obesity echoes earlier recommendations. Public Health Nutr. 2016; 19(1):1-2. PMC: 10273286. DOI: 10.1017/S1368980015003663. View

11.

Lv D, Zhang D, Wang H, Zhang Y, Liang L, Fu J . Genetic variations in SEC16B, MC4R, MAP2K5 and KCTD15 were associated with childhood obesity and interacted with dietary behaviors in Chinese school-age population. Gene. 2015; 560(2):149-55. DOI: 10.1016/j.gene.2015.01.054. View

12.

Maes H, Neale M, Eaves L . Genetic and environmental factors in relative body weight and human adiposity. Behav Genet. 1997; 27(4):325-51. DOI: 10.1023/a:1025635913927. View

13.

Mennella J, Reiter A, Brewer B, Pohlig R, Stallings V, Trabulsi J . Early Weight Gain Forecasts Accelerated Eruption of Deciduous Teeth and Later Overweight Status during the First Year. J Pediatr. 2020; 225:174-181.e2. PMC: 7529945. DOI: 10.1016/j.jpeds.2020.06.019. View

14.

Qi Q, Chu A, Kang J, Jensen M, Curhan G, Pasquale L . Sugar-sweetened beverages and genetic risk of obesity. N Engl J Med. 2012; 367(15):1387-96. PMC: 3518794. DOI: 10.1056/NEJMoa1203039. View

15.

Fu L, Zhang M, Gao L, Mi J . [Association between polymorphisms and body mass index variation or risk of obesity: a Meta-analysis]. Zhonghua Liu Xing Bing Xue Za Zhi. 2016; 37(9):1288-1295. DOI: 10.3760/cma.j.issn.0254-6450.2016.09.021. View

16.

Mennella J, Smethers A, Decker J, Delahanty M, Stallings V, Trabulsi J . Effects of Early Weight Gain Velocity, Diet Quality, and Snack Food Access on Toddler Weight Status at 1.5 Years: Follow-Up of a Randomized Controlled Infant Formula Trial. Nutrients. 2021; 13(11). PMC: 8625308. DOI: 10.3390/nu13113946. View

17.

Ono M, Ichihara J, Nonomura T, Itakura Y, Taiji M, Nakayama C . Brain-derived neurotrophic factor reduces blood glucose level in obese diabetic mice but not in normal mice. Biochem Biophys Res Commun. 1997; 238(2):633-7. DOI: 10.1006/bbrc.1997.7220. View

18.

Tabangin M, Woo J, Martin L . The effect of minor allele frequency on the likelihood of obtaining false positives. BMC Proc. 2009; 3 Suppl 7:S41. PMC: 2795940. DOI: 10.1186/1753-6561-3-S7-S41. View

19.

Zandona M, Sangalli C, Campagnolo P, Vitolo M, Almeida S, Mattevi V . Validation of obesity susceptibility loci identified by genome-wide association studies in early childhood in South Brazilian children. Pediatr Obes. 2016; 12(1):85-92. DOI: 10.1111/ijpo.12113. View

20.

Warrington N, Howe L, Paternoster L, Kaakinen M, Herrala S, Huikari V . A genome-wide association study of body mass index across early life and childhood. Int J Epidemiol. 2015; 44(2):700-12. PMC: 4469798. DOI: 10.1093/ije/dyv077. View