Causal Association Between Birth Weight and Adult Diseases: Evidence From a Mendelian Randomization Analysis

被引:47
|
作者
Zang, Ping [1 ]
Zhou, Xiang [2 ,3 ]
机构
[1] Xuzhou Med Univ, Dept Epidemiol & Biostat, Xuzhou, Jiangsu, Peoples R China
[2] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Ctr Stat Genet, Ann Arbor, MI 48109 USA
基金
中国博士后科学基金; 中国国家自然科学基金; 美国国家科学基金会; 美国国家卫生研究院;
关键词
birth weight; adult diseases; Mendelian randomization; causal association; genome wide association study; type; 2; diabetes; coronary artery disease; myocardial infarction; GENOME-WIDE ASSOCIATION; CORONARY-HEART-DISEASE; GENETIC-VARIANTS; SUBSEQUENT RISK; CARDIOVASCULAR-DISEASE; SUSCEPTIBILITY LOCI; COMMON VARIANTS; BLOOD-PRESSURE; FETAL ORIGINS; SOUTH ASIANS;
D O I
10.3389/fgene.2019.00618
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Purpose: Birth weight has a profound long-term impact on individual's predisposition to various diseases at adulthood-a hypothesis commonly referred to as the fetal origins of adult diseases. However, it is not fully clear to what extent the fetal origins of adult diseases hypothesis holds and it is also not completely known what types of adult diseases are causally affected by birth weight. Materials and methods: Mendelian randomization using multiple genetic instruments associated with birth weight was performed to explore the causal relationship between birth weight and adult diseases. The causal relationship between birth weight and 21 adult diseases as well as 38 other complex traits was examined based on data collected from 37 large-scale genome-wide association studies with up to 340,000 individuals of European ancestry. Causal effects of birth weight were estimated using inverse-variance weighted methods. The identified causal relationships between birth weight and adult diseases were further validated through extensive sensitivity analyses, bias calculation, and simulations. Results: Among the 21 adult diseases, three were identified to be inversely causally affected by birth weight after the Bonferroni correction. The measurement unit of birth weight was defined as its standard deviation (i.e., 488 g), and one unit lower birth weight was causally related to an increased risk of coronary artery disease (CAD), myocardial infarction (MI), type 2 diabetes (T2D), and BMI-adjusted T2D, with the estimated odds ratios of 1.34[ 95% confidence interval (CI) 1.17-1.53], 1.30 (95% CI 1.13-1.51), 1.41 (95% CI 1.15-1.73), and 1.54 (95% CI 1.25-1.89), respectively. All these identified causal associations were robust across various sensitivity analyses that guard against various confounding due to pleiotropy or maternal effects as well as reverse causation. In addition, analysis on 38 additional complex traits did not identify candidate traits that may mediate the causal association between birth weight and CAD/MI/T2D. Conclusions: The results suggest that lower birth weight is causally associated with an increased risk of CAD, MI, and T2D in later life, supporting the fetal origins of adult diseases hypothesis.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Causal Association between Plasma Oxalate and Kidney Disease: Mendelian Randomization Analysis
    Bowers, Jade E.
    Triozzi, Jefferson Lorenzo
    Sosa, Piera A.
    Yu Zhihong
    Wilson, Otis D.
    Wang Guanchao
    Hsi, Ryan
    Roumie, Christianne
    Hung, Adriana
    JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2024, 35 (10):
  • [42] Causal Relationship between Meat Intake and Biological Aging: Evidence from Mendelian Randomization Analysis
    Liu, Shupeng
    Deng, Yinyun
    Liu, Hui
    Fu, Zhengzheng
    Wang, Yinghui
    Zhou, Meijuan
    Feng, Zhijun
    NUTRIENTS, 2024, 16 (15)
  • [43] The effect of birth weight on body composition: Evidence from a birth cohort and a Mendelian randomization study
    Liu, Junxi
    Yeung, Shiu Lun Au
    He, Baoting
    Kwok, Man Ki
    Leung, Gabriel Matthew
    Schooling, C. Mary
    PLOS ONE, 2019, 14 (09):
  • [44] Causal association between vitamin D and diabetic neuropathy: a Mendelian randomization analysis
    Huang, Wei
    Gu, Lei
    Wang, Jingwen
    Wang, Yiqi
    Cao, Fangzheng
    Jin, Tianyu
    Cheng, Yifan
    ENDOCRINE, 2023, 80 (02) : 328 - 335
  • [45] EXPLORING THE BIDIRECTIONAL CAUSAL ASSOCIATION BETWEEN FRAILTY AND CARDIOVASCULAR DISEASES: INSIGHTS FROM A BIDIRECTIONAL MENDELIAN RANDOMIZATION STUDY
    Yin, Zheng
    Miao, Huanhuan
    Yang, Shijie
    Zhou, Zhanyang
    Zhang, Yuqing
    JOURNAL OF HYPERTENSION, 2024, 42
  • [46] Mendelian randomization analysis reveals a causal relationship between preterm birth and myopia risk
    Lin, Bin
    Chen, Long-long
    Li, Dong-kan
    FRONTIERS IN PEDIATRICS, 2024, 12
  • [47] Causal association of allergic diseases, eosinophils, and osteoporosis: A Mendelian randomization study
    Yue, Xinghai
    Liu, Hongfei
    Yang, Shangmei
    Fang, Tao
    Shi, Shaoshun
    WORLD ALLERGY ORGANIZATION JOURNAL, 2025, 18 (03):
  • [48] Genetic causal association between gut microbiota and sepsis: Evidence from a two-sample bidirectional Mendelian randomization analysis
    Tang, Jungen
    Huang, Man
    JOURNAL OF INTENSIVE MEDICINE, 2024, 4 (03): : 362 - 367
  • [49] Causal effect of hypertension and blood pressure on aortic diseases: evidence from Mendelian randomization
    Yang, Tao
    Yuan, Xin
    Gao, Wei
    Lu, Min-Jie
    Hu, Meng-Jin
    Sun, Han-Song
    HYPERTENSION RESEARCH, 2023, 46 (09) : 2203 - 2212
  • [50] Causal effect of hypertension and blood pressure on aortic diseases: evidence from Mendelian randomization
    Tao Yang
    Xin Yuan
    Wei Gao
    Min-Jie Lu
    Meng-Jin Hu
    Han-Song Sun
    Hypertension Research, 2023, 46 : 2203 - 2212