Proteogenomic analysis of cerebrospinal fluid reveals causal role of proteins from the autophagy‐lysosome pathway in Parkinson’s disease

全基因组关联研究 孟德尔随机化 生物 单核苷酸多态性 遗传关联 SNP公司 疾病 遗传学 基因型 生物信息学 医学 基因 内科学 遗传变异
作者
Chengran Yang,Fabiana H.G. Farias,Oscar Harari,Hervé Rhinn,Carlos Cruchaga,Bruno A. Benítez
出处
期刊:Alzheimers & Dementia [Wiley]
卷期号:16 (S3)
标识
DOI:10.1002/alz.043422
摘要

Abstract Background Integrating genetic variants associated with protein levels (protein quantitative trait loci; pQTLs) with variants from genome‐wide association studies (GWAS) using Mendelian randomization approaches has uncovered a causal role of previously unsuspected proteins in several diseases. We have successfully applied a combination of targeted proteomic and genomic approaches to the cerebrospinal fluid (CSF) of Alzheimer Disease (AD) patients to identify multiple novel genetic associations. However, there are currently no proteogenomic studies in Parkinson’s Disease (PD). Methods We used the SOMAscan 1.3k Assay (∼1,305 SOMAmers) in ∼1015 samples from the ADRC‐WUSTL. SOMAscan data from the Parkinson's Progression Markers Initiative cohort and Sasayama D, et al 2017 were used as replication cohorts. After stringent QC steps were applied to SOMA data, each SOMAmer was log 10 transformed and standardized to zero. We used linear additive genetic regression models adjusted for age, sex, genotyping array and the first two principal components using Plink 1.9. We used the R package MendelianRandomization to integrate our CSF pQTL variants with PD‐related SNPs from the 2019 METAPD GWAS. Results We found significant cis ‐pQTLs for Cathepsin B (p = 3.6 × 10 −27 ), Alpha‐L‐iduronidase (p = 3.4 × 10 −41 ) and Galactin‐3 (p = 2.7 × 10 −41 ). MR found significant causal associations of PD risk with pQTLs for IDUA (b = 1.2, p = 5.0 × 10 −6 ), CSTB (b = ‐1.4, p = 2.7 × 10 −4 ) and Galactin‐3 (b = ‐1, p = 4.0 × 10 −2 ). Most importantly, we found an association with progranulin (PGRN) trans ‐pQTLs (p = 2.5 × 10 −9 ). This association was replicated in the PPMI cohort (p = 1.9 × 10 −9 ), and MR confirmed the significant causal link of PGRN (b = 4.6, p = 1.0 × 10 −4 ) with PD. The PGRN pQTL in CSF is located in the LRRK2 gene locus. This SNP is also associated with the CSF levels of proteins from two additional PD‐associated genes CTSB (p = 1.6 × 10 −3 ) and glycoprotein nmb ( GPNMB , p = 1.5 × 10 −4 ). Conclusion Our proteogenomic approach identified LRRK2 as a genetic modifier of three additional PD‐associated proteins in CSF. MR analyses confirmed the causal link of proteins from the autophagy‐lysosome pathway with PD. Our data provide new biological insights into how LRRK2 modifies PD risk and novel markers for screening of LRRK2 kinase activity.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
未来可期完成签到,获得积分20
刚刚
Lucas应助CJ采纳,获得10
1秒前
英俊的铭应助亚齐采纳,获得10
1秒前
Chenjunxian完成签到,获得积分20
2秒前
程文轩完成签到,获得积分20
2秒前
Cameron完成签到,获得积分10
2秒前
ericson发布了新的文献求助10
2秒前
cc关注了科研通微信公众号
3秒前
kmkz发布了新的文献求助10
3秒前
3秒前
聪哥发布了新的文献求助10
3秒前
未来可期发布了新的文献求助30
3秒前
ywq完成签到,获得积分10
4秒前
小月发布了新的文献求助10
4秒前
小马甲应助热情曲奇采纳,获得10
4秒前
5秒前
强健的小霸王完成签到,获得积分10
5秒前
897102完成签到,获得积分10
5秒前
5秒前
123发布了新的文献求助10
6秒前
充电宝应助WBH36323采纳,获得30
6秒前
6秒前
赘婿应助救救孩子吧采纳,获得10
7秒前
filory发布了新的文献求助10
7秒前
深情的背包完成签到,获得积分10
7秒前
乐er发布了新的文献求助10
9秒前
默默的幻灵完成签到,获得积分10
9秒前
北冥鱼发布了新的文献求助10
9秒前
10秒前
NexusExplorer应助michellewu采纳,获得10
10秒前
yulk发布了新的文献求助10
11秒前
CCC发布了新的文献求助10
12秒前
情怀应助自觉士萧采纳,获得10
12秒前
无花果应助7733采纳,获得10
13秒前
14秒前
笑开口发布了新的文献求助10
14秒前
15秒前
zyl完成签到,获得积分10
15秒前
慕青应助绫小路采纳,获得10
15秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7553444
求助须知:如何正确求助?哪些是违规求助? 9135999
关于积分的说明 19525200
捐赠科研通 7144975
什么是DOI,文献DOI怎么找? 3260578
关于科研通互助平台的介绍 2427198
邀请新用户注册赠送积分活动 2249654