The Association of Parental Genetic, Lifestyle, and Social Determinants of Health with Offspring Overweight.

IF 2 4区 医学 Q3 GENETICS & HEREDITY
Lifestyle Genomics Pub Date : 2020-01-01 Epub Date: 2020-02-18 DOI:10.1159/000505749
Catherine A M Graham, Charles R Pedlar, Gary Hearne, Silvia Lorente-Cebrián, Pedro González-Muniesa, Yiannis Mavrommatis
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引用次数: 4

Abstract

Introduction: In the UK, the number of comorbidities seen in children has increased along with the worsening obesity rate. These comorbidities worsen into adulthood. Genome-wide association studies have highlighted single nucleotide polymorphisms associated with the weight status of adults and offspring individually. To date, in the UK, parental genetic, lifestyle, and social determinants of health have not been investigated alongside one another as influencers of offspring weight status. A comprehensive obesity prevention scheme would commence prior to conception and involve parental intervention including all known risk factors. This current study aims to identify the proportion of overweight that can be explained by known parental risk factors, including genetic, lifestyle, and social determinants of health with offspring weight status in the UK.

Methods: A cross-sectional study was carried out on 123 parents. Parental and offspring anthropometric data and parental lifestyle and social determinants of health data were self-reported. Parental genetic data were collected by use of GeneFiX saliva collection vials and genotype were assessed for brain-derived neurotrophic factor (BDNF) gene rs6265, melanocortin 4 receptor (MC4R) gene rs17782313, transmembrane protein 18 (TMEM18) gene rs2867125, and serine/threonine-protein kinase (TNN13K) gene rs1514175. Associations were assessed between parental data and the weight status of offspring.

Results: Maternal body mass index modestly predicted child weight status (p < 0.015; R2 = 0.15). More mothers of overweight children carried the MC4R rs17782313 risk allele (77.8%; p = 0.007) compared to mothers of normal-weight children. Additionally, fathers who were not Caucasian and parents who slept for <7 h/night had a larger percentage of overweight children when compared to their counterparts (p = 0.039; p = 0.014, respectively).

Conclusion: Associations exist between the weight status of offspring based solely on parental genetic, lifestyle, and social determinants of health data. Further research is required to appropriately address future interventions based on genetic and lifestyle risk groups on a pre-parent cohort.

父母遗传、生活方式和社会健康决定因素与后代超重的关系。
简介:在英国,随着肥胖率的恶化,儿童的合并症数量也在增加。这些合并症在成年后会恶化。全基因组关联研究强调了与成人和后代体重状况相关的单核苷酸多态性。迄今为止,在英国,父母的遗传、生活方式和健康的社会决定因素还没有作为影响后代体重状况的因素一起进行调查。一项全面的肥胖预防计划将在怀孕前开始,并涉及父母干预,包括所有已知的风险因素。目前的研究旨在确定超重的比例,可以解释已知的父母的风险因素,包括遗传,生活方式和社会决定因素的健康与后代体重状况在英国。方法:对123名家长进行横断面调查。父母和子女的人体测量数据以及父母的生活方式和健康的社会决定因素数据是自我报告的。采用GeneFiX唾液收集瓶收集亲本遗传数据,并对脑源性神经营养因子(BDNF)基因rs6265、黑素皮素4受体(MC4R)基因rs17782313、跨膜蛋白18 (TMEM18)基因rs2867125、丝氨酸/苏氨酸蛋白激酶(TNN13K)基因rs1514175进行基因型分析。评估了亲代数据与后代体重状况之间的关联。结果:母亲体重指数可适度预测儿童体重状况(p < 0.015;R2 = 0.15)。更多超重儿童的母亲携带MC4R rs17782313风险等位基因(77.8%;P = 0.007)。此外,非白种人的父亲和睡过觉的父母结论:后代的体重状况之间存在关联,这仅仅基于父母的遗传、生活方式和健康数据的社会决定因素。需要进一步的研究来适当地解决基于遗传和生活方式风险群体的未来干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Lifestyle Genomics
Lifestyle Genomics Agricultural and Biological Sciences-Food Science
CiteScore
4.00
自引率
7.70%
发文量
11
审稿时长
28 weeks
期刊介绍: Lifestyle Genomics aims to provide a forum for highlighting new advances in the broad area of lifestyle-gene interactions and their influence on health and disease. The journal welcomes novel contributions that investigate how genetics may influence a person’s response to lifestyle factors, such as diet and nutrition, natural health products, physical activity, and sleep, amongst others. Additionally, contributions examining how lifestyle factors influence the expression/abundance of genes, proteins and metabolites in cell and animal models as well as in humans are also of interest. The journal will publish high-quality original research papers, brief research communications, reviews outlining timely advances in the field, and brief research methods pertaining to lifestyle genomics. It will also include a unique section under the heading “Market Place” presenting articles of companies active in the area of lifestyle genomics. Research articles will undergo rigorous scientific as well as statistical/bioinformatic review to ensure excellence.
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