@article {Kowalec10.1212 / WNL。0000000000207457,作者= {Kaarina Kowalec凯瑟琳·C·菲茨杰拉德和琥珀索尔特Casandra Dolovich和阿维德困难和查尔斯·n·伯恩斯坦和詹姆斯·博尔顿和加里·r铣刀和莱斯利·格拉夫和莎拉H {\”} gg和卡罗尔·安Hitchon和易建联Lu和弗雷德·卢布林和吉拉麦凯和斯科特B彭定康Amit Patki和赫曼特K女子安杰瑞Wolinsky和露丝上},title = {Polygenicity共病抑郁的多发性硬化症},elocation-id = {10.1212 / WNL。={2023}0000000000207457},年,doi = {10.1212 / WNL。出版商0000000000207457}= {Wolters Kluwer健康,公司代表美国神经病学学会},文摘={背景:抑郁症是常见的多发性硬化症(MS);半岛投注体育官网和与残疾进展更快。共病抑郁的病因仍不得而知。识别个体的抑郁的风险高,通过多基因的分数(后卫),可能有助于早期识别。先前的遗传学研究抑郁症被认为是抑郁症的主要障碍,不是疾病,从而发现可能不是概括女士身体质量指数(BMI)是女士和抑郁症的危险因素及其协会在改善女士可能会强调不同抑郁共病抑郁的理解女士,我们将调查后卫女士,与更高的抑郁动力分配的假设与抑郁共病的几率增加MS.Methods:样本三个来源(加拿大、英国生物库和美国)。人分为案例(MS /共病抑郁)和三个对照组相比:女士/不抑郁,抑郁/不免疫疾病和健康的人。我们使用三个抑郁症的定义:一生的临床诊断,自我诊断,和抑郁症状。动力是使用回归测试协会与抑郁症。Results: 106,682 individuals of European genetic ancestry were used: Canada (n=370; 213 with MS), UK Biobank (n=105,734; 1,390 MS), and USA (n=578 MS). Meta-analyses revealed individuals with MS and depression had a higher depression PGS compared to both MS without depression (odds ratio range per standard deviation [SD]: 1.29-1.38, P\<0.05) and healthy controls (odds ratio range per SD: 1.49-1.53, P\<0.025), regardless of the definition applied and when sex-stratified. The BMI PGS was associated with depressive symptoms (P<=.001). The depression PGS did not differ between depression occurring as a comorbid condition with MS or as the primary condition (odds ratio range per SD: 1.03-1.13, all P\>0.05).Discussion: Higher depression genetic burden was associated with \~{}30-40\% increased odds of depression in European genetic ancestry participants with MS compared to those without depression and was no different compared to those with depression and no comorbid immune disease. This study paves the way for further investigations into the possible use of PGS for assessing psychiatric disorder risk in MS and its application to non-European genetic ancestries.}, issn = {0028-3878}, URL = {//www.ebmtp.com/content/early/2023/06/08/WNL.0000000000207457}, eprint = {//www.ebmtp.com/content/early/2023/06/08/WNL.0000000000207457.full.pdf}, journal = {Neurology} }