4.4 Article

Genetic liability to bipolar disorder and body mass index: A bidirectional two-sample Mendelian randomization study

期刊

BIPOLAR DISORDERS
卷 25, 期 1, 页码 25-31

出版社

WILEY
DOI: 10.1111/bdi.13267

关键词

bipolar disorder; body mass index; mendelian randomization analysis; obesity

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The study suggests that genetic liability to bipolar disorder is associated with lower BMI, primarily due to reduced fat mass. However, there is no evidence that BMI causes changes in the risk of developing bipolar disorder.
ObjectivesBipolar disorder is associated with increased body mass index (BMI), but it remains undetermined if this association is causal and, if so, in which direction it goes. Here, we sought to answer these questions using bidirectional two-sample Mendelian randomization, a method from genetic epidemiology that uses data from genome-wide association studies (GWAS) to examine whether a risk factor is causal for an outcome MethodsWe used summary statistics from GWAS of bipolar disorder and BMI conducted using data collected by the Psychiatric Genomics Consortium and the UK Biobank, respectively. The genetic instrument for bipolar disorder contained 53 SNPs and explained 0.5% of phenotypic variance, while the genetic instrument for BMI contained 517 SNPs and explained 7.1% of phenotypic variance ResultsOur findings suggest that genetic liability to bipolar disorder reduces BMI (slope from Egger regression = -0.195, p = 0.004). It follows that a twofold increase in the genetic liability to bipolar disorder leads to a 0.6 (kg/m(2)) reduction in BMI, predominantly driven by reduced fat mass. Conversely, we found no evidence that BMI causes changes in the risk of developing bipolar disorder ConclusionThe results of this study suggest that the increased BMI observed among individuals with bipolar disorder is not a direct consequence of genetic liability to bipolar disorder, but may more likely represent the sum of downstream correlates of manifest bipolar disorder, such as side effects of pharmacological treatment, poor diet, and sedentary lifestyle. As these factors are all modifiable, they can be targeted as part of clinical management

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