389 related articles for article (PubMed ID: 36416764)
1. Transcriptome-wide association study and eQTL colocalization identify potentially causal genes responsible for human bone mineral density GWAS associations.
Al-Barghouthi BM; Rosenow WT; Du KP; Heo J; Maynard R; Mesner L; Calabrese G; Nakasone A; Senwar B; Gerstenfeld L; Larner J; Ferguson V; Ackert-Bicknell C; Morgan E; Brautigan D; Farber CR
Elife; 2022 Nov; 11():. PubMed ID: 36416764
[TBL] [Abstract][Full Text] [Related]
2. Identification of Known and Novel Long Noncoding RNAs Potentially Responsible for the Effects of Bone Mineral Density (BMD) Genomewide Association Study (GWAS) Loci.
Abood A; Mesner L; Rosenow W; Al-Barghouthi BM; Horowitz N; Morgan EF; Gerstenfeld LC; Farber CR
J Bone Miner Res; 2022 Aug; 37(8):1500-1510. PubMed ID: 35695880
[TBL] [Abstract][Full Text] [Related]
3. Using "-omics" Data to Inform Genome-wide Association Studies (GWASs) in the Osteoporosis Field.
Abood A; Farber CR
Curr Osteoporos Rep; 2021 Aug; 19(4):369-380. PubMed ID: 34125409
[TBL] [Abstract][Full Text] [Related]
4. Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer's disease dementia.
Guo S; Yang J
Alzheimers Res Ther; 2024 Jun; 16(1):120. PubMed ID: 38824563
[TBL] [Abstract][Full Text] [Related]
5. Leveraging lung tissue transcriptome to uncover candidate causal genes in COPD genetic associations.
Lamontagne M; Bérubé JC; Obeidat M; Cho MH; Hobbs BD; Sakornsakolpat P; de Jong K; Boezen HM; ; Nickle D; Hao K; Timens W; van den Berge M; Joubert P; Laviolette M; Sin DD; Paré PD; Bossé Y
Hum Mol Genet; 2018 May; 27(10):1819-1829. PubMed ID: 29547942
[TBL] [Abstract][Full Text] [Related]
6. Statistical power of transcriptome-wide association studies.
He R; Xue H; Pan W;
Genet Epidemiol; 2022 Dec; 46(8):572-588. PubMed ID: 35766062
[TBL] [Abstract][Full Text] [Related]
7. Integration of summary data from GWAS and eQTL studies identified novel causal BMD genes with functional predictions.
Meng XH; Chen XD; Greenbaum J; Zeng Q; You SL; Xiao HM; Tan LJ; Deng HW
Bone; 2018 Aug; 113():41-48. PubMed ID: 29763751
[TBL] [Abstract][Full Text] [Related]
8. Expression Quantitative Trait Locus Study of Bone Mineral Density GWAS Variants in Human Osteoclasts.
Mullin BH; Zhu K; Xu J; Brown SJ; Mullin S; Tickner J; Pavlos NJ; Dudbridge F; Walsh JP; Wilson SG
J Bone Miner Res; 2018 Jun; 33(6):1044-1051. PubMed ID: 29473973
[TBL] [Abstract][Full Text] [Related]
9. Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits.
Okamoto J; Wang L; Yin X; Luca F; Pique-Regi R; Helms A; Im HK; Morrison J; Wen X
Am J Hum Genet; 2023 Jan; 110(1):44-57. PubMed ID: 36608684
[TBL] [Abstract][Full Text] [Related]
10. Integrating eQTL and GWAS data characterises established and identifies novel migraine risk loci.
Ghaffar A; ; Nyholt DR
Hum Genet; 2023 Aug; 142(8):1113-1137. PubMed ID: 37245199
[TBL] [Abstract][Full Text] [Related]
11. Integrating transcriptome-wide association study and mRNA expression profiling identifies novel genes associated with bone mineral density.
Ma M; Huang DG; Liang X; Zhang L; Cheng S; Cheng B; Qi X; Li P; Du Y; Liu L; Zhao Y; Ding M; Wen Y; Guo X; Zhang F
Osteoporos Int; 2019 Jul; 30(7):1521-1528. PubMed ID: 30993394
[TBL] [Abstract][Full Text] [Related]
12. Finding the genes for fragile bones.
Kague E
Elife; 2022 Dec; 11():. PubMed ID: 36562688
[TBL] [Abstract][Full Text] [Related]
13. A Multi-tissue Transcriptome Analysis of Human Metabolites Guides Interpretability of Associations Based on Multi-SNP Models for Gene Expression.
Ndungu A; Payne A; Torres JM; van de Bunt M; McCarthy MI
Am J Hum Genet; 2020 Feb; 106(2):188-201. PubMed ID: 31978332
[TBL] [Abstract][Full Text] [Related]
14. Twelve New Genomic Loci Associated With Bone Mineral Density.
Liu L; Zhao M; Xie ZG; Liu J; Peng HP; Pei YF; Sun HP; Zhang L
Front Endocrinol (Lausanne); 2020; 11():243. PubMed ID: 32390946
[TBL] [Abstract][Full Text] [Related]
15. A transcriptome-wide association study to detect novel genes for volumetric bone mineral density.
Liu A; Liu Y; Su KJ; Greenbaum J; Bai Y; Tian Q; Zhao LJ; Deng HW; Shen H
Bone; 2021 Dec; 153():116106. PubMed ID: 34252604
[TBL] [Abstract][Full Text] [Related]
16. Integrating GWAS and Co-expression Network Data Identifies Bone Mineral Density Genes SPTBN1 and MARK3 and an Osteoblast Functional Module.
Calabrese GM; Mesner LD; Stains JP; Tommasini SM; Horowitz MC; Rosen CJ; Farber CR
Cell Syst; 2017 Jan; 4(1):46-59.e4. PubMed ID: 27866947
[TBL] [Abstract][Full Text] [Related]
17. Opportunities and challenges for transcriptome-wide association studies.
Wainberg M; Sinnott-Armstrong N; Mancuso N; Barbeira AN; Knowles DA; Golan D; Ermel R; Ruusalepp A; Quertermous T; Hao K; Björkegren JLM; Im HK; Pasaniuc B; Rivas MA; Kundaje A
Nat Genet; 2019 Apr; 51(4):592-599. PubMed ID: 30926968
[TBL] [Abstract][Full Text] [Related]
18. Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics.
Luningham JM; Chen J; Tang S; De Jager PL; Bennett DA; Buchman AS; Yang J
Am J Hum Genet; 2020 Oct; 107(4):714-726. PubMed ID: 32961112
[TBL] [Abstract][Full Text] [Related]
19. Identification of asthma-related genes using asthmatic blood eQTLs of Korean patients.
Kim DJ; Lim JE; Jung HU; Chung JY; Baek EJ; Jung H; Kwon SY; Kim HK; Kang JO; Park K; Won S; Kim TB; Oh B
BMC Med Genomics; 2023 Oct; 16(1):259. PubMed ID: 37875944
[TBL] [Abstract][Full Text] [Related]
20. Integrative genomics analysis of eQTL and GWAS summary data identifies PPP1CB as a novel bone mineral density risk genes.
Zhai Y; Yu L; Shao Y; Wang J
Biosci Rep; 2020 Apr; 40(4):. PubMed ID: 32266926
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
