双生子体质指数遗传度的Meta分析

李茂婷; 张梦妮; 职心乐; 朱红; 张欣; 谢娟

Abstract

李茂婷,张梦妮,职心乐,朱红,张欣,谢娟.双生子体质指数遗传度的Meta分析[J].Chinese journal of Epidemiology,2021,42(12):2188-2195

双生子体质指数遗传度的Meta分析

Heritability of body mass index based on twin studies: a Meta-analysis

Received:March 10, 2021

DOI：10.3760/cma.j.cn112338-20210310-00193

KeyWord: 体质指数遗传度双生子 Meta分析

English Key Word: Body mass index Heritability Twins Meta-analysis

FundProject:国家自然科学基金（81602922）；天津医科大学教育教学研究项目（2019ZJ002）

Author Name	Affiliation	E-mail
Li Maoting	School of Public Health, Tianjin Medical University, Tianjin 300070, China
Zhang Mengni	School of Public Health, Tianjin Medical University, Tianjin 300070, China
Zhi Xinyue	School of Public Health, Tianjin Medical University, Tianjin 300070, China Tianjin Key Laboratory of Environment, Nutrition & Public Health, Tianjin 300070, China Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
Zhu Hong	School of Public Health, Tianjin Medical University, Tianjin 300070, China Tianjin Key Laboratory of Environment, Nutrition & Public Health, Tianjin 300070, China Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
Zhang Xin	School of Public Health, Tianjin Medical University, Tianjin 300070, China Tianjin Key Laboratory of Environment, Nutrition & Public Health, Tianjin 300070, China Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
Xie Juan	School of Public Health, Tianjin Medical University, Tianjin 300070, China Tianjin Key Laboratory of Environment, Nutrition & Public Health, Tianjin 300070, China Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China	xiejuan@tmu.edu.cn

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Abstract:

目的采用Meta分析方法，了解双生子BMI遗传度。方法通过检索中国知网、万方数据知识服务平台、维普数据库、PubMed和Web of Science数据库，获得截至2020年12月31日双生子BMI遗传度的研究。采用现况调查偏倚风险评价标准评价纳入文献的质量。采用Stata 16.0软件对结局指标（遗传度，95%CI）进行亚组分析，探索异质性来源和局部加权回归法拟合遗传度随年龄的变化趋势，并对纳入的文献进行发表偏倚检验和敏感性分析。结果共纳入符合纳入排除标准的文献10篇，共纳入79个双生子BMI遗传度独立估计值。Meta分析显示，BMI遗传度合并值为0.69（95%CI：0.65~0.71），男性合并值（0.68，95%CI：0.65~0.70）低于女性合并值（0.70，95%CI：0.68~0.72）；儿童青少年时期的BMI遗传度（0.72，95%CI：0.68~0.76）比成年时高（0.68，95%CI：0.66~0.70）；≤ 18岁的双生子BMI遗传度性别间的差异更大，男性（0.68，95%CI：0.61~0.76）低于女性（0.75，95%CI：0.69~0.81）。遗传度随年龄的变化趋势：儿童时期随年龄的增长而上升，至18岁左右达到峰值，其后随年龄的增加缓慢下降。结论 BMI遗传度受人口特征影响，特别是年龄和性别。鉴于女性青少年时期BMI遗传度估计值较高，应给予更多关注，把握健康干预的切入点。

English Abstract:

Objective To use Meta analysis to understand the prevalence of the heritability of body mass index (BMI) in twins. Methods All studies on the heritability of the twins' BMI published before December 31, 2020 were retrieved through the China National Knowledge Network, Wanfang, VIP, PubMed and Web of Science databases. The literature quality was evaluated by using Joanna Briggs Institute Critical Appraisal tools. Stata 16.0 was used to perform subgroup analysis on the outcome indicators (heritability, 95%CI) to explore the source of heterogeneity. The local weighted regression method was used to fit the trend of heritability with age. The publication bias test and the sensitivity analysis of included literatures were also performed by using Stata 16.0.Results A total of 10 articles meeting the inclusion and exclusion criteria were included with 79 twins' independent estimates of heritability for BMI. Meta-analysis showed that the combined value of BMI heritability was 0.69 (95%CI:0.65-0.71), the combined value of BMI (0.68, 95%CI:0.65-0.70) in males was lower than that (0.70, 95%CI:0.68-0.72) in females. The heritability of BMI (0.72, 95%CI:0.68-0.76) in childhood and adolescence was higher than that (0.68, 95%CI:0.66-0.70) in adulthood. The gender specific difference in BMI heritability in twins ≤ 18 years old was even greater, which was lower in males (0.68, 95%CI:0.61-0.76) than in females (0.75, 95%CI:0.69-0.81). The heritability increased with age in childhood, reached peak at about 18 years old, and then slowly decreased with age. Conclusions The heritability of BMI varied with population characteristics, especially age and gender. In view of the high estimated value of BMI heritability in female children and adolescents, more attention should be paid to the start time of health intervention.

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