Functional genomic analysis delineates regulatory mechanisms of GWAS-identified bipolar disorder risk variants.
Functional genomic analysis delineates regulatory mechanisms of GWAS-identified bipolar disorder risk variants.
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功能基因组分析描绘了 GWAS 确定的双相情感障碍风险变异的调节机制
DOI:
10.1186/s13073-022-01057-3
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发表时间:
2022-05-20
期刊:
影响因子:
12.3
通讯作者:
中科院分区:
文献类型:
--
作者:
Genome-wide association studies (GWASs) have identified multiple risk loci for bipolar disorder (BD). However, pinpointing functional (or causal) variants in the reported risk loci and elucidating their regulatory mechanisms remain challenging. We first integrated chromatin immunoprecipitation sequencing (ChIP-Seq) data from human brain tissues (or neuronal cell lines) and position weight matrix (PWM) data to identify functional single-nucleotide polymorphisms (SNPs). Then, we verified the regulatory effects of these transcription factor (TF) binding–disrupting SNPs (hereafter referred to as “functional SNPs”) through a series of experiments, including reporter gene assays, allele-specific expression (ASE) analysis, TF knockdown, CRISPR/Cas9-mediated genome editing, and expression quantitative trait loci (eQTL) analysis. Finally, we overexpressed PACS1 (whose expression was most significantly associated with the identified functional SNPs rs10896081 and rs3862386) in mouse primary cortical neurons to investigate if PACS1 affects dendritic spine density. We identified 16 functional SNPs (in 9 risk loci); these functional SNPs disrupted the binding of 7 TFs, for example, CTCF and REST binding was frequently disrupted. We then identified the potential target genes whose expression in the human brain was regulated by these functional SNPs through eQTL analysis. Of note, we showed dysregulation of some target genes of the identified TF binding–disrupting SNPs in BD patients compared with controls, and overexpression of PACS1 reduced the density of dendritic spines, revealing the possible biological mechanisms of these functional SNPs in BD. Our study identifies functional SNPs in some reported risk loci and sheds light on the regulatory mechanisms of BD risk variants. Further functional characterization and mechanistic studies of these functional SNPs and candidate genes will help to elucidate BD pathogenesis and develop new therapeutic approaches and drugs. The online version contains supplementary material available at 10.1186/s13073-022-01057-3.
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DOI:
10.1093/bioinformatics/btr064
发表时间:
2011-04-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Grant CE;Bailey TL;Noble WS
通讯作者:
Noble WS
影响因子:
56.9
作者:
Gandal, Michael J.;Zhang, Pan;Geschwind, Daniel H.
通讯作者:
Geschwind, Daniel H.
影响因子:
16.2
作者:
Collado-Torres, Leonardo;Burke, Emily E.;Narurkar, Rujuta
通讯作者:
Narurkar, Rujuta
影响因子:
4.5
作者:
Verma SS;Cooke Bailey JN;Lucas A;Bradford Y;Linneman JG;Hauser MA;Pasquale LR;Peissig PL;Brilliant MH;McCarty CA;Haines JL;Wiggs JL;Vrabec TR;Tromp G;Ritchie MD;eMERGE Network;NEIGHBOR Consortium
通讯作者:
NEIGHBOR Consortium
影响因子:
11
作者:
Baum, A. E.;Akula, N.;McMahon, F. J.
通讯作者:
McMahon, F. J.