114 related articles for article (PubMed ID: 32170308)
1. Identifying insomnia-related chemicals through integrative analysis of genome-wide association studies and chemical-genes interaction information.
Kafle OP; Cheng S; Ma M; Li P; Cheng B; Zhang L; Wen Y; Liang C; Qi X; Zhang F
Sleep; 2020 Sep; 43(9):. PubMed ID: 32170308
[TBL] [Abstract][Full Text] [Related]
2. Identifying 5 Common Psychiatric Disorders Associated Chemicals Through Integrative Analysis of Genome-Wide Association Study and Chemical-Gene Interaction Datasets.
Cheng S; Wen Y; Ma M; Zhang L; Liu L; Qi X; Cheng B; Liang C; Li P; Kafle OP; Zhang F
Schizophr Bull; 2020 Sep; 46(5):1182-1190. PubMed ID: 32291453
[TBL] [Abstract][Full Text] [Related]
3. Integrating Genome-Wide Association Studies and Gene Expression Profiles With Chemical-Genes Interaction Networks to Identify Chemicals Associated With Colorectal Cancer.
Tan X; Tang H; Gong L; Xie L; Lei Y; Luo Z; He C; Ma J; Han S
Front Genet; 2020; 11():385. PubMed ID: 32391058
[TBL] [Abstract][Full Text] [Related]
4. Integrative genomics analysis identifies five promising genes implicated in insomnia risk based on multiple omics datasets.
Sun H; Zhang J; Ma Y; Liu J
Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32830860
[TBL] [Abstract][Full Text] [Related]
5. Integrative analysis of genome-wide association study and brain region related enhancer maps identifies biological pathways for insomnia.
Ding M; Li P; Wen Y; Zhao Y; Cheng B; Zhang L; Ma M; Cheng S; Liu L; Du Y; Liang X; He A; Guo X; Zhang F
Prog Neuropsychopharmacol Biol Psychiatry; 2018 Aug; 86():180-185. PubMed ID: 29883697
[TBL] [Abstract][Full Text] [Related]
6. Genome-wide analysis of insomnia disorder.
Stein MB; McCarthy MJ; Chen CY; Jain S; Gelernter J; He F; Heeringa SG; Kessler RC; Nock MK; Ripke S; Sun X; Wynn GH; Smoller JW; Ursano RJ
Mol Psychiatry; 2018 Nov; 23(11):2238-2250. PubMed ID: 29520036
[TBL] [Abstract][Full Text] [Related]
7. GWAS Meta-Analysis Reveals Shared Genes and Biological Pathways between Major Depressive Disorder and Insomnia.
Lin YS; Wang CC; Chen CY
Genes (Basel); 2021 Sep; 12(10):. PubMed ID: 34680902
[TBL] [Abstract][Full Text] [Related]
8. Genome-wide association analysis of insomnia using data from Partners Biobank.
Song W; Torous J; Kossowsky J; Chen CY; Huang H; Wright A
Sci Rep; 2020 Apr; 10(1):6928. PubMed ID: 32332799
[TBL] [Abstract][Full Text] [Related]
9. Systematic genetic analyses of GWAS data reveal an association between the immune system and insomnia.
Xiang B; Liu K; Yu M; Liang X; Huang C; Zhang J; He W; Lei W; Chen J; Gu X; Gong K
Mol Genet Genomic Med; 2019 Jul; 7(7):e00742. PubMed ID: 31094102
[TBL] [Abstract][Full Text] [Related]
10. Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits.
Hammerschlag AR; Stringer S; de Leeuw CA; Sniekers S; Taskesen E; Watanabe K; Blanken TF; Dekker K; Te Lindert BHW; Wassing R; Jonsdottir I; Thorleifsson G; Stefansson H; Gislason T; Berger K; Schormair B; Wellmann J; Winkelmann J; Stefansson K; Oexle K; Van Someren EJW; Posthuma D
Nat Genet; 2017 Nov; 49(11):1584-1592. PubMed ID: 28604731
[TBL] [Abstract][Full Text] [Related]
11. Identifying Novel Drug Targets for Epilepsy Through a Brain Transcriptome-Wide Association Study and Protein-Wide Association Study with Chemical-Gene-Interaction Analysis.
Lu M; Feng R; Zhang C; Xiao Y; Yin C
Mol Neurobiol; 2023 Sep; 60(9):5055-5066. PubMed ID: 37246165
[TBL] [Abstract][Full Text] [Related]
12. Integrative Analysis of Proteome-wide Association Studies and Functional Enrichment Analysis to Identify Genes and Chemicals Associated with Alcohol Dependence.
Zhang J; Meng P; Yao Y; Zhang H; Pan C; Li C; Chen Y; Zhang Z; Cheng S; Liu L; Yang X; Jia Y; Zhang F
J Addict Med; 2023 May-Jun 01; 17(3):319-325. PubMed ID: 37267176
[TBL] [Abstract][Full Text] [Related]
13. Characterisation of insomnia as an environmental risk factor for asthma via Mendelian randomization and gene environment interaction.
Kim DJ; Ha TW; Jung HU; Baek EJ; Lee WJ; Kim HK; Kang JO; Won S; Lim JE; Oh B
Sci Rep; 2021 Nov; 11(1):21813. PubMed ID: 34750467
[TBL] [Abstract][Full Text] [Related]
14. A Combined Analysis of Genetically Correlated Traits Identifies Genes and Brain Regions for Insomnia.
Liu K; Zhu L; Yu M; Liang X; Zhang J; Tan Y; Huang C; He W; Lei W; Chen J; Gu X; Xiang B
Can J Psychiatry; 2020 Dec; 65(12):874-884. PubMed ID: 32648482
[TBL] [Abstract][Full Text] [Related]
15. Causal links between major depressive disorder and insomnia: A Mendelian randomisation study.
Cai L; Bao Y; Fu X; Cao H; Baranova A; Zhang X; Sun J; Zhang F
Gene; 2021 Feb; 768():145271. PubMed ID: 33122081
[TBL] [Abstract][Full Text] [Related]
16. Integrating genome-wide association study, chromosomal enhancer maps and element-gene interaction networks detected brain regions related associations between elements and ADHD/IQ.
Ma M; Liang X; Cheng S; Zhang L; Cheng B; Yang J; Ding M; Zhao Y; Li P; Du Y; Liu L; Wen Y; He A; Fan Q; Guo X; Zhang F
Behav Brain Res; 2018 Nov; 353():137-142. PubMed ID: 30016737
[TBL] [Abstract][Full Text] [Related]
17. Integrative, genome-wide association study identifies chemicals associated with common women's malignancies.
Gong L; Luo Z; Tang H; Tan X; Xie L; Lei Y; He C; Ma J; Han S
Genomics; 2020 Nov; 112(6):5029-5036. PubMed ID: 32911025
[TBL] [Abstract][Full Text] [Related]
18. Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways.
Jansen PR; Watanabe K; Stringer S; Skene N; Bryois J; Hammerschlag AR; de Leeuw CA; Benjamins JS; Muñoz-Manchado AB; Nagel M; Savage JE; Tiemeier H; White T; ; Tung JY; Hinds DA; Vacic V; Wang X; Sullivan PF; van der Sluis S; Polderman TJC; Smit AB; Hjerling-Leffler J; Van Someren EJW; Posthuma D
Nat Genet; 2019 Mar; 51(3):394-403. PubMed ID: 30804565
[TBL] [Abstract][Full Text] [Related]
19. Integrating genome-wide association study and expression quantitative trait loci data identifies multiple genes and gene set associated with neuroticism.
Fan Q; Wang W; Hao J; He A; Wen Y; Guo X; Wu C; Ning Y; Wang X; Wang S; Zhang F
Prog Neuropsychopharmacol Biol Psychiatry; 2017 Aug; 78():149-152. PubMed ID: 28552732
[TBL] [Abstract][Full Text] [Related]
20. Integrative analysis of transcriptome-wide association study and mRNA expression profiles identifies candidate genes associated with autism spectrum disorders.
Huang H; Cheng S; Ding M; Wen Y; Ma M; Zhang L; Li P; Cheng B; Liang X; Liu L; Du Y; Zhao Y; Kafle OP; Han B; Zhang F
Autism Res; 2019 Jan; 12(1):33-38. PubMed ID: 30561910
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
