孟德尔随机化
双相情感障碍
全基因组关联研究
体质指数
双相情感障碍
单核苷酸多态性
医学
遗传流行病学
精神科
临床心理学
心理学
流行病学
遗传学
内科学
生物
基因型
遗传变异
心情
基因
作者
Lars Meinertz Byg,Maria Speed,Doug Speed,Søren Dinesen Østergaard
出处
期刊:Cold Spring Harbor Laboratory - medRxiv
日期:2022-01-31
标识
DOI:10.1101/2022.01.31.22270154
摘要
Abstract Objectives Bipolar 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. Methods We 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. Results We found that a two-fold increase in the genetic liability to bipolar disorder causes a 0.6 (kg/m 2 ) reduction in BMI, which is statistically significant (P=0.009), and predominantly driven by reduced fat mass. Conversely, we found no evidence that BMI causes changes in the risk of developing bipolar disorder (P=0.59). Conclusion The findings of this study indicate that the increased BMI observed among individuals with bipolar disorder is not a direct consequence of genetic liability to bipolar disorder, but more likely represents the sum of downstream correlates of manifest bipolar disorder, such as side effects of pharmacological treatment, poor diet and sedentary lifestyle, that are all modifiable and could potentially be targeted as part of clinical management.
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