| Autor: |
Koji Yahara, Shin Nishiumi, Mototsugu Kato, Ngo Phuong Minh Thuan, Yoshio Yamaoka, Takashi Matsumoto, Vu Van Khien, Noriko Takahashi, Tran Thanh Binh, Kazunari Murakami, Evariste Tshibangu-Kabamba, Tran Thi Huyen Trang, Ho Dang Quy Dung, Ichizo Kobayashi, Vo Phuoc Tuan, Masaki Fukuyo, Hirokazu Yano, Tran Dinh Tri, Takeshi Azuma, Pham Huu Tung, Bui Hoang Phuc, Tetsuya Hayashi, Rumiko Suzuki, Tadayoshi Okimoto, Junko Akada, Yoshitoshi Ogura, Masaaki Kodama, Atsushi Toyoda |
| Rok vydání: |
2021 |
| Předmět: |
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| DOI: |
10.1101/2021.03.15.435401 |
| Popis: |
Genome-wide association studies (GWASs) can reveal genetic variations associated with a phenotype in the absence of any hypothesis of candidate genes. The problem of false-positive sites linked with the responsible site might be bypassed in bacteria with a high homologous recombination rate, such as Helicobacter pylori, which causes gastric cancer (GC). We conducted a GWAS followed by regression-based prediction of GC and duodenal ulcer H. pylori strains. We identified 14 single nucleotide polymorphisms (11 amino acid changes) that, combined, allowed effective disease discrimination. They were often informative of the underlying molecular mechanisms, such as electric charge alteration at the ligand-binding pocket, alteration in subunit interaction, and mode-switching of DNA methylation. We also identified three novel virulence factors/oncoprotein candidates. These results provide both defined targets for further informatic and experimental analyses to gain insights into GC pathogenesis and a basis for identifying a set of biomarkers for application in clinical settings. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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