Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Pathway-based analysis"'
Autor:
Hamza Dallali, Wided Boukhalfa, Nadia Kheriji, Meriem Fassatoui, Haifa Jmel, Meriem Hechmi, Ismail Gouiza, Mariem Gharbi, Wafa Kammoun, Mehdi Mrad, Marouen Taoueb, Asma Krir, Hajer Trabelsi, Afef Bahlous, Henda Jamoussi, Olfa Messaoud, Abdelmajid Abid, Rym Kefi
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
IntroductionType 2 diabetes (T2D) is a multifactorial disease involving genetic and environmental components. Several genome-wide association studies (GWAS) have been conducted to decipher potential genetic aberrations promoting the onset of this met
Externí odkaz:
https://doaj.org/article/ec2f2977e6d94ae5b458346728bffc4e
Akademický článek
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Autor:
Panhong Liu, Mingyan Fang, Yuxue Luo, Fang Zheng, Yan Jin, Fanjun Cheng, Huanhuan Zhu, Xin Jin
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)
Host genetic factors have been shown to play an important role in SARS-CoV-2 infection and the course of Covid-19 disease. The genetic contributions of common variants influencing Covid-19 susceptibility and severity have been extensively studied in
Externí odkaz:
https://doaj.org/article/b8b7bba46ffb40999415f0b8d65d7fc3
Autor:
Ali Reza Jafarymanesh, Amir Hossein Khaltabadi Farahani, Mohammad Hossein Moradi, Hossein Mohammadi
Publikováno v:
مجله بیوتکنولوژی کشاورزی, Vol 12, Iss 3, Pp 91-116 (2020)
Objective Identifying genes with large effects on economically important traits, has been one of the important goals in chicken breeding. The present study aimed to conduct a genome wide association studies (GWAS) based on Gene-set enrichment analysi
Externí odkaz:
https://doaj.org/article/e8c8d21be0c242328d742aa518e87606
Autor:
Honghai Dai, Yanjun Wei, Yunxia Liu, Jingwen Liu, Ruoying Yu, Junli Zhang, Jiaohui Pang, Yang Shao, Qiang Li, Zhe Yang
Publikováno v:
Frontiers in Genetics, Vol 12 (2022)
Esophageal squamous cell carcinoma (ESCC) is the major type of EC in China. Chemoradiotherapy is a standard definitive treatment for early-stage EC and significantly improves local control and overall survival for late-stage patients. However, chemor
Externí odkaz:
https://doaj.org/article/9a656167743244af893a3d36405d04a8
Publikováno v:
BMC Medical Genomics, Vol 12, Iss S5, Pp 1-14 (2019)
Abstract Background The analysis of integrated multi-omics data enables the identification of disease-related biomarkers that cannot be identified from a single omics profile. Although protein-level data reflects the cellular status of cancer tissue
Externí odkaz:
https://doaj.org/article/dd9b636971274e458e271cb44c128bcf
Publikováno v:
Biology Direct, Vol 14, Iss 1, Pp 1-13 (2019)
Abstract Background Integrating the rich information from multi-omics data has been a popular approach to survival prediction and bio-marker identification for several cancer studies. To facilitate the integrative analysis of multiple genomic profile
Externí odkaz:
https://doaj.org/article/7376b751775e4d21bda6f6b03ee417ec
Autor:
Qiwen Zheng, Yan Zhang, Jie Jiang, Jia Jia, Fangfang Fan, Yanjun Gong, Zhi Wang, Qiuping Shi, Dafang Chen, Yong Huo
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
Genome-wide association studies have identified more than 150 susceptibility loci for coronary artery disease (CAD); however, there is still a large proportion of missing heritability remaining to be investigated. This study sought to identify popula
Externí odkaz:
https://doaj.org/article/5d9ecd7ff1d1409f9381c79622541789
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)
Abstract Background Predicting prognosis in patients from large-scale genomic data is a fundamentally challenging problem in genomic medicine. However, the prognosis still remains poor in many diseases. The poor prognosis may be caused by high comple
Externí odkaz:
https://doaj.org/article/fc9629e932e245d3a96f6bbf93462de0
Pathway-based approach using hierarchical components of rare variants to analyze multiple phenotypes
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S4, Pp 85-97 (2018)
Abstract Background As one possible solution to the “missing heritability” problem, many methods have been proposed that apply pathway-based analyses, using rare variants that are detected by next generation sequencing technology. However, while
Externí odkaz:
https://doaj.org/article/a0e86bd6ef8f4fc3b8239d76231eb2b6