Makale detayı · 2013
The Identification of Pathway Markers in Intracranial Aneurysm Using Genome Wide Association Data from Two Different Populations
- Yıl
- 2013
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı PLoS ONE
- Katalog eşleşmesi (ISSN) PLOS ONE
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
The identification of significant individual factors causing complex diseases is challenging in genome-wide association studies (GWAS) since each factor has only a modest effect on the disease development mechanism. In this study, we hypothesize that the biological pathways that are targeted by these individual factors show higher conservation within and across populations. To test this hypothesis, we searched for the disease related pathways on two intracranial aneurysm GWAS in European and Japanese case-control cohorts. Even though there were a few significantly conserved SNPs within and between populations, seven of the top ten affected pathways were found significant in both populations. The probability of random occurrence of such an event is 2.44E-36. We therefore claim that even though each individual has a unique combination of factors involved in the mechanism of disease development, most targeted pathways that need to be altered by these factors are, for the most part, the same. These pathways can serve as disease markers. Individuals, for example, can be scanned for factors affecting the genes in marker pathways. Hence, individual factors of disease development can be determined; and this knowledge can be exploited for drug development and personalized therapeutic applications. Here, we discuss the potential avenues of pathway markers in medicine and their translation to preventive and individualized health care.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
17 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 16 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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- PANOGA: a web server for identification of SNP-targeted pathways from genome-wide association study data 2014
- PANOGA a web server for identification of SNP targeted pathways from genome wide association study data 2014
- Identification of possible pathogenic pathways in Behçet s disease using genome wide association study data from two different populations 2015
- Identification of possible pathogenic pathways in Behçet’s disease using genome-wide association study data from two different populations 2014
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- CSF Proteomics Identifies Specific and Shared Pathways for Multiple Sclerosis Clinical Subtypes 2015