PopTradeOff: A database for exploring population-specificity of adaptive evolution, disease susceptibility, and drug responsiveness
The influence of adaptive evolution on disease susceptibility has drawn attention; however, the extent of the influence, whether favored mutations also influence drug responses, and whether the associations between the three are population-specific remain unknown. Using a reported deep learning netw...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Computational and Structural Biotechnology Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037023002210 |
| _version_ | 1797384062083530752 |
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| author | Ji Tang Huanlin Zhang Hai Zhang Hao Zhu |
| author_facet | Ji Tang Huanlin Zhang Hai Zhang Hao Zhu |
| author_sort | Ji Tang |
| collection | DOAJ |
| description | The influence of adaptive evolution on disease susceptibility has drawn attention; however, the extent of the influence, whether favored mutations also influence drug responses, and whether the associations between the three are population-specific remain unknown. Using a reported deep learning network to integrate seven statistical tests for detecting selection signals, we predicted favored mutations in the genomes of 17 human populations and integrated these favored mutations with reported GWAS sites and drug response-related variants into the database PopTradeOff (http://www.gaemons.net/PopFMIntro). The database also contains genome annotation information on the SNP, sequence, gene, and pathway levels. The preliminary data analyses suggest that substantial associations exist between adaptive evolution, disease susceptibility, and drug responses and that the associations are highly population-specific. The database may be valuable for disease studies, drug development, and personalized medicine. |
| first_indexed | 2024-03-08T21:30:03Z |
| format | Article |
| id | doaj.art-568c0751c9d74c9fa57f5c85233dbd4d |
| institution | Directory Open Access Journal |
| issn | 2001-0370 |
| language | English |
| last_indexed | 2024-03-08T21:30:03Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computational and Structural Biotechnology Journal |
| spelling | doaj.art-568c0751c9d74c9fa57f5c85233dbd4d2023-12-21T07:31:40ZengElsevierComputational and Structural Biotechnology Journal2001-03702023-01-012134433451PopTradeOff: A database for exploring population-specificity of adaptive evolution, disease susceptibility, and drug responsivenessJi Tang0Huanlin Zhang1Hai Zhang2Hao Zhu3Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, ChinaBioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, ChinaNetwork Center, Southern Medical University, Guangzhou 510515, China; Corresponding author.Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Southern Medical University, Guangzhou 510515, China; Guangdong Provincial Key Lab of Single Cell Technology and Application, Southern Medical University, Guangzhou 510515, China; Corresponding author at: Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.The influence of adaptive evolution on disease susceptibility has drawn attention; however, the extent of the influence, whether favored mutations also influence drug responses, and whether the associations between the three are population-specific remain unknown. Using a reported deep learning network to integrate seven statistical tests for detecting selection signals, we predicted favored mutations in the genomes of 17 human populations and integrated these favored mutations with reported GWAS sites and drug response-related variants into the database PopTradeOff (http://www.gaemons.net/PopFMIntro). The database also contains genome annotation information on the SNP, sequence, gene, and pathway levels. The preliminary data analyses suggest that substantial associations exist between adaptive evolution, disease susceptibility, and drug responses and that the associations are highly population-specific. The database may be valuable for disease studies, drug development, and personalized medicine.http://www.sciencedirect.com/science/article/pii/S2001037023002210DatabaseFavored mutationGWASDisease susceptibilityDrug responsiveness |
| spellingShingle | Ji Tang Huanlin Zhang Hai Zhang Hao Zhu PopTradeOff: A database for exploring population-specificity of adaptive evolution, disease susceptibility, and drug responsiveness Computational and Structural Biotechnology Journal Database Favored mutation GWAS Disease susceptibility Drug responsiveness |
| title | PopTradeOff: A database for exploring population-specificity of adaptive evolution, disease susceptibility, and drug responsiveness |
| title_full | PopTradeOff: A database for exploring population-specificity of adaptive evolution, disease susceptibility, and drug responsiveness |
| title_fullStr | PopTradeOff: A database for exploring population-specificity of adaptive evolution, disease susceptibility, and drug responsiveness |
| title_full_unstemmed | PopTradeOff: A database for exploring population-specificity of adaptive evolution, disease susceptibility, and drug responsiveness |
| title_short | PopTradeOff: A database for exploring population-specificity of adaptive evolution, disease susceptibility, and drug responsiveness |
| title_sort | poptradeoff a database for exploring population specificity of adaptive evolution disease susceptibility and drug responsiveness |
| topic | Database Favored mutation GWAS Disease susceptibility Drug responsiveness |
| url | http://www.sciencedirect.com/science/article/pii/S2001037023002210 |
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