Associations between major psychiatric disorder polygenic risk scores and blood-based markers in UK biobank

被引:12
|
作者
Sewell, Michael D. E. [1 ]
Jimenez-Sanchez, Lorena [1 ]
Shen, Xueyi [2 ]
Edmondson-Stait, Amelia J. [1 ]
Green, Claire [2 ]
Adams, Mark J. [2 ,3 ]
Rifai, Olivia M. [1 ]
McIntosh, Andrew M. [2 ,3 ]
Lyall, Donald M. [4 ]
Whalley, Heather C. [2 ]
Lawrie, Stephen M. [2 ]
机构
[1] Univ Edinburgh, Royal Edinburgh Hosp, Ctr Clin Brain Sci, Translat Neurosci PhD Programme, Kennedy Tower, Edinburgh EH10 5HF, Midlothian, Scotland
[2] Univ Edinburgh, Royal Edinburgh Hosp, Div Psychiat, Kennedy Tower, Edinburgh EH10 5HF, Midlothian, Scotland
[3] Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Dept Psychol, Edinburgh EH8 9JZ, Midlothian, Scotland
[4] Univ Glasgow, Inst Hlth & Wellbeing, Glasgow G12 8RZ, Lanark, Scotland
基金
英国惠康基金; 英国医学研究理事会;
关键词
Bipolar disorder; Blood markers; Major depressive disorder; Polygenic risk scores; Schizophrenia; UK Biobank; C-REACTIVE PROTEIN; MONOCYTE-LYMPHOCYTE RATIOS; GENOME-WIDE ASSOCIATION; VITAMIN-D DEFICIENCY; BIPOLAR DISORDER; NEUTROPHIL-LYMPHOCYTE; BRAIN-BARRIER; PERIPHERAL BIOMARKERS; PLATELET-LYMPHOCYTE; DEPRESSIVE DISORDER;
D O I
10.1016/j.bbi.2021.06.002
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Major depressive disorder (MDD), schizophrenia (SCZ), and bipolar disorder (BD) have both shared and discrete genetic risk factors, and are associated with peripheral abnormalities. The relationships between such genetic architectures and blood-based markers are, however, unclear. We investigated relationships between polygenic risk scores (PRS) for these disorders and peripheral markers in the UK Biobank cohort. We calculated polygenic risk scores for n = 367,329 (MDD PRS), n = 366,465 (SCZ PRS), and n = 366,383 (BD PRS) UK Biobank cohort subjects. We then examined associations between disorder PRS and 58 inflammatory/immune, hematological, bone, cardiovascular, hormone, liver, renal and diabetesassociated blood markers using two generalized linear regression models: 'minimally adjusted' controlling for variables such as age and sex, and 'fully adjusted' including additional lifestyle covariates: BMI, alcohol and smoking status, and medication intake. There were 38/58 MDD PRS, 32/58 SCZ PRS, and 20/58 BD PRS-blood marker associations detected for our minimally adjusted model. Of these, 13/38 (MDD PRS), 14/32 (SCZ PRS), and 10/20 (BD PRS) associations remained significant after controlling for lifestyle factors. Many were disorder-specific, with 8/13 unique MDD PRS associations identified. Several disorder-specific associations for MDD and SCZ were immune-related, with mostly positive and negative associations identified for MDD and SCZ PRS respectively. This study suggests that MDD, SCZ and BD have both shared and distinct peripheral markers associated with disorder-specific genetic risk. The results also implicate inflammatory dysfunction in MDD and SCZ, albeit with differences in patterns between the two conditions, and enrich our understanding of potential underlying pathophysiological mechanisms in major psychiatric disorders.
引用
收藏
页码:32 / 41
页数:10
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