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Causal Association between Birth Weight and Adult Diseases: Evidence from a Mendelian Randomisation Analysis

View ORCID ProfilePing Zeng, Xiang Zhou
doi: https://doi.org/10.1101/447573
Ping Zeng
1Department of Epidemiology and Biostatistics, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
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Xiang Zhou
2Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
3Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
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Abstract

Background It has long been hypothesized that birth weight has a profound long-term impact on individual 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. Determining the causal impact of birth weight on various adult diseases through traditional randomised intervention studies is a challenging task.

Methods Mendelian randomisation was employed and multiple genetic variants associated with birth weight were used as instruments to explore the relationship between 21 adult diseases and 38 other complex traits from 37 large-scale genome-wide association studies 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 and simulations.

Results Among the 21 adult diseases, three were identified to be inversely causally affected by birth weight with a statistical significance level passing the Bonferroni corrected significance threshold. The measurement unit of birth weight was defined as its standard deviation (i.e. 488 grams), 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, p = 1.54E-5], 1.30 (95% CI 1.13 - 1.51, p = 3.31E-4), 1.41 (95% CI 1.15 - 1.73, p = 1.11E-3) and 1.54 (95% CI 1.25 - 1.89, p = 6.07E-5), 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 inverse causation. In addition, analysis on 38 additional complex traits found that the inverse causal association between birth weight and CAD/MI/T2D was not likely to be mediated by other risk factors such as blood-pressure related traits and adult weight.

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.

  • Abbreviations

    MR
    Mendelian Randomisation
    CAD
    coronary artery disease
    T2D
    type 2 diabetes
    SNP
    single-nucleotide polymorphism
    EGG
    Early Growth Genetics
    GWAS
    genome-wide association study
    AMD
    age-related macular degeneration
    PSC
    primary sclerosing cholangitis
    CKD
    chronic kidney disease
    CD
    Crohn’s disease
    UC
    ulcerative colitis
    PBC
    primary biliary cirrhosis
    IBD
    inflammatory bowel disease
    SLE
    systemic lupus erythematosus
    OR
    odds ratio
    AS
    ankylosing spondylitis
    IS
    ischaemic stroke
    MS
    multiple sclerosis
    T1D
    type 1 diabetes
    RA
    rheumatoid arthritis
    LOO
    leave-one-out
    MI
    myocardial infarction
    IVW
    inverse-variance weighted
    PVE
    phenotypic variance explained
  • Copyright 
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    Posted October 19, 2018.
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    Causal Association between Birth Weight and Adult Diseases: Evidence from a Mendelian Randomisation Analysis
    Ping Zeng, Xiang Zhou
    bioRxiv 447573; doi: https://doi.org/10.1101/447573
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    Causal Association between Birth Weight and Adult Diseases: Evidence from a Mendelian Randomisation Analysis
    Ping Zeng, Xiang Zhou
    bioRxiv 447573; doi: https://doi.org/10.1101/447573

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