Cell-type-specific expression quantitative trait loci associated with Alzheimer disease in blood and brain tissue.
Cell-type-specific expression quantitative trait loci associated with Alzheimer disease in blood and brain tissue.
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血液和脑组织中与阿尔茨海默病相关的细胞类型特异性表达数量性状位点
DOI:
10.1038/s41398-021-01373-z
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发表时间:
2021-04-27
影响因子:
6.8
通讯作者:
Farrer LA
中科院分区:
文献类型:
--
作者:
Patel D;Zhang X;Farrell JJ;Chung J;Stein TD;Lunetta KL;Farrer LA
Because regulation of gene expression is heritable and context-dependent, we investigated AD-related gene expression patterns in cell types in blood and brain. Cis-expression quantitative trait locus (eQTL) mapping was performed genome-wide in blood from 5257 Framingham Heart Study (FHS) participants and in brain donated by 475 Religious Orders Study/Memory & Aging Project (ROSMAP) participants. The association of gene expression with genotypes for all cis SNPs within 1 Mb of genes was evaluated using linear regression models for unrelated subjects and linear-mixed models for related subjects. Cell-type-specific eQTL (ct-eQTL) models included an interaction term for the expression of “proxy” genes that discriminate particular cell type. Ct-eQTL analysis identified 11,649 and 2533 additional significant gene-SNP eQTL pairs in brain and blood, respectively, that were not detected in generic eQTL analysis. Of note, 386 unique target eGenes of significant eQTLs shared between blood and brain were enriched in apoptosis and Wnt signaling pathways. Five of these shared genes are established AD loci. The potential importance and relevance to AD of significant results in myeloid cell types is supported by the observation that a large portion of GWS ct-eQTLs map within 1 Mb of established AD loci and 58% (23/40) of the most significant eGenes in these eQTLs have previously been implicated in AD. This study identified cell-type-specific expression patterns for established and potentially novel AD genes, found additional evidence for the role of myeloid cells in AD risk, and discovered potential novel blood and brain AD biomarkers that highlight the importance of cell-type-specific analysis.
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影响因子:
3.3
作者:
Hallock, Peter;Thomas, Michael A.
通讯作者:
Thomas, Michael A.
影响因子:
3.7
作者:
de Kreuk BJ;Schaefer A;Anthony EC;Tol S;Fernandez-Borja M;Geerts D;Pool J;Hambach L;Goulmy E;Hordijk PL
通讯作者:
Hordijk PL
影响因子:
64.8
作者:
GTEx Consortium;Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group;Statistical Methods groups—Analysis Working Group;Enhancing GTEx (eGTEx) groups;NIH Common Fund;NIH/NCI;NIH/NHGRI;NIH/NIMH;NIH/NIDA;Biospecimen Collection Source Site—NDRI;Biospecimen Collection Source Site—RPCI;Biospecimen Core Resource—VARI;Brain Bank Repository—University of Miami Brain Endowment Bank;Leidos Biomedical—Project Management;ELSI Study;Genome Browser Data Integration &Visualization—EBI;Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz;Lead analysts:;Laboratory, Data Analysis &Coordinating Center (LDACC):;NIH program management:;Biospecimen collection:;Pathology:;eQTL manuscript working group:;Battle A;Brown CD;Engelhardt BE;Montgomery SB
通讯作者:
Montgomery SB
DOI:
10.3233/jad-150088
发表时间:
2015
期刊:
Journal of Alzheimer's disease : JAD
影响因子:
--
作者:
Dinkins MB;Dasgupta S;Wang G;Zhu G;He Q;Kong JN;Bieberich E
通讯作者:
Bieberich E
影响因子:
16.6
作者:
Donovan, Margaret K. R.;D'Antonio-Chronowska, Agnieszka;Frazer, Kelly A.
通讯作者:
Frazer, Kelly A.