Zobrazeno 1 - 10
of 3 880
pro vyhledávání: '"eqtl"'
Autor:
Jessica Bigge, Laura L. Koebbe, Ann-Sophie Giel, Dorothea Bornholdt, Benedikt Buerfent, Pouria Dasmeh, Alexander M. Zink, Carlo Maj, Johannes Schumacher
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background Genomic instability and evading apoptosis are two fundamental hallmarks of cancer and closely linked to DNA damage response (DDR). By analyzing expression quantitative trait loci (eQTL) upon cell stimulation (called exposure eQTL
Externí odkaz:
https://doaj.org/article/39bb89b9844e4b128a1bed8a54997d50
Autor:
Aitor González, Pascale Paul
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 4260-4270 (2024)
Integrating expression quantitative trait loci (eQTL) data with genome-wide association studies (GWAS) enables the discovery of pleiotropic gene regulatory variants that influence a wide range of traits and disease susceptibilities. However, a compre
Externí odkaz:
https://doaj.org/article/088cdd669e8a4aafae380a931c4e69ae
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Atrioventricular block (AVB) is a heterogeneous group of arrhythmias. AVB can lead to sudden arrest of the heart and subsequent syncope or sudden cardiac death. Few scholars have investigated the underlying molecular mechanisms of
Externí odkaz:
https://doaj.org/article/1300971fd455486fa5ebf74343f6cdab
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Association testing between molecular phenotypes and genomic variants can help to understand how genotype affects phenotype. RNA sequencing provides access to molecular phenotypes such as gene expression and alternative splicing w
Externí odkaz:
https://doaj.org/article/6f8f480dbd024064ad076edc3d62f943
Autor:
Huanyao Gao, Lixuan Wei, Shreya Indulkar, Thanh Thanh. L. Nguyen, Duan Liu, Ming-Fen Ho, Cheng Zhang, Hu Li, Richard M. Weinshilboum, James N. Ingle, Liewei Wang
Publikováno v:
Breast Cancer Research, Vol 26, Iss 1, Pp 1-14 (2024)
Abstract Background Endocrine therapy is the most important treatment modality of breast cancer patients whose tumors express the estrogen receptor α (ERα). The androgen receptor (AR) is also expressed in the vast majority (80–90%) of ERα-positi
Externí odkaz:
https://doaj.org/article/0906792d3b1b42248df6ef4f3c484ff2
Autor:
Shuyi Guo, Jingjing Yang
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-13 (2024)
Abstract Background Transcriptome-wide association study (TWAS) is an influential tool for identifying genes associated with complex diseases whose genetic effects are likely mediated through transcriptome. TWAS utilizes reference genetic and transcr
Externí odkaz:
https://doaj.org/article/2bea7d397e264076b50683e7502375f8
Autor:
Xinyuan Chen, Xiubao Hu, Guo Li, Corrinne E. Grover, Jiaqi You, Ruipeng Wang, Zhenping Liu, Zhengyang Qi, Xuanxuan Luo, Yabin Peng, Mengmeng Zhu, Yuqi Zhang, Sifan Lu, Yuan‐ming Zhang, Zhongxu Lin, Jonathan F. Wendel, Xianlong Zhang, Maojun Wang
Publikováno v:
Advanced Science, Vol 11, Iss 40, Pp n/a-n/a (2024)
Abstract Interspecific genomic introgression is an important evolutionary process with respect to the generation of novel phenotypic diversity and adaptation. A key question is how gene flow perturbs gene expression networks and regulatory interactio
Externí odkaz:
https://doaj.org/article/67beb7b78525435e98e1ccffc9dbf033
Publikováno v:
HGG Advances, Vol 5, Iss 4, Pp 100348- (2024)
Summary: Identifying causal genes underlying genome-wide association studies (GWASs) is a fundamental problem in human genetics. Although colocalization with gene expression quantitative trait loci (eQTLs) is often used to prioritize GWAS target gene
Externí odkaz:
https://doaj.org/article/563ae9b155174a34a141d7ee3460a524
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Backgrounds A growing number of expression quantitative trait loci (eQTLs) have been found to be linked with tumorigenesis. In this article, we employed integrated Mendelian randomization (MR) analyses to identify novel susceptibility genes
Externí odkaz:
https://doaj.org/article/bfcc18cee3584cb6a979d8b8cf1dacda
Autor:
Yongjie Tang, Jinning Zhang, Wenlong Li, Xueqin Liu, Siqian Chen, Siyuan Mi, Jinyan Yang, Jinyan Teng, Lingzhao Fang, Ying Yu
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background Characterization of regulatory variants (e.g., gene expression quantitative trait loci, eQTL; gene splicing QTL, sQTL) is crucial for biologically interpreting molecular mechanisms underlying loci associated with complex traits. H
Externí odkaz:
https://doaj.org/article/9c9b9185dcc74da1b4755ae77b47d859