SavedAdd your journal

Journals / Türk Biyokimya Dergisi / 2019 / Cilt: 44 - Sayı: 6

Data-mining approach for screening of rare genetic elements associated with predisposition of prostate cancer in South-Asian populations

Güney Asya Popülasyonlarında Prostat Kanseri Predispozisyonuyla İlişkili Nadir Genetik Elementlerin Taranmasında Veri Madenciliği Yaklaşımı

Muhammad ALİ
Muhammad Zubair MAHBOOB
Arslan HAMİD
Nada MUSHTAQ
Sana BATOOL
Hina BATOOL
Nadia ZEESHAN
Kalsoom SUGHRA
Naeem Mahmood ASHRAF
Pages
848–854
Publication Date
2022-11-05
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Database for Annotation, Visualization and Integrated Discovery (DAVID)functionally annotated these genes and wANNOVAR separated South Asian (SAS) populations – specific genetic factors at MAF threshold

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: Prostate cancer (PCa) is a complex heterogeneous disease and a major health risk to men throughout the world.
📊
Key Findings & Data:Thisstudy presents a computational strategy for identificationof novel and uncharacterized genetic factors associatedwith incidence of PCa in South Asian populations.Materials and methods: Genome-wide association studies(GWAS) catalog and Gene Expression Omnibus (GEO) furnished PCa-related genetic studies.
💡
Conclusion & Impact:Database for Annotation, Visualization and Integrated Discovery (DAVID)functionally annotated these genes and wANNOVAR separated South Asian (SAS) populations – specific genetic factors at MAF threshold
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: Prostate cancer (PCa) is a complex heterogeneous disease and a major health risk to men throughout the world. The potential tumorigenic genetic hallmarks associated with PCa include sustaining proliferative signaling, resisting cell death, aberrant androgen receptor signaling, androgen independence, and castration resistance.Despite numerous comprehensive genome-wide association studies (GWAS), certain genetic elements associated with PCa are still unknown. This situation demands moresystematic GWAS studies in different populations. Thisstudy presents a computational strategy for identificationof novel and uncharacterized genetic factors associatedwith incidence of PCa in South Asian populations.Materials and methods: Genome-wide association studies(GWAS) catalog and Gene Expression Omnibus (GEO) furnished PCa-related genetic studies. Database for Annotation, Visualization and Integrated Discovery (DAVID)functionally annotated these genes and wANNOVAR separated South Asian (SAS) populations – specific genetic factors at MAF threshold

Özet

Amaç: Prostat kanseri (PCa) karmaşık heterojen bir hastalıktır ve dünyadaki erkekler için önemli bir sağlık riskidir. PCa ile ilişkili potansiyel tümörijenik genetik işaretler proliferatif sinyalleşmeyi sürdürmeyi, hücre ölümüne direnmeyi, anormal androjen reseptör sinyalini ve androjen bağımsızlığını ve kastrasyon direncini içerir. Çok sayıda kapsamlı genom çapında ilişkilendirme çalışmasına (GWAS) rağmen, PCa ile ilişkili bazı genetik unsurlar hala bilinmemektedir. Bu durum, farklı popülasyonlarda daha sistematik GWAS çalışmaları gerektirmektedir. Bu çalışma Güney Asya popülasyonlarında PCa insidansıyla ilişkili yeni ve daha önce karakterize edilmemiş genetik faktörlerin tanımlanması için hesaplamalı bir strateji sunmaktadır. Gereç ve Yöntem: PCa ile ilgili genetik çalışmalarda GWAS kataloğu ve Gene Expression Omnibus (GEO) kullanıldı. Açıklama, Görselleştirme ve Entegre Keşif Veri Tabanı (DAVID), bu genleri fonksiyonel olarak açıkladı ve wANNOVAR, Güney Asya (SAS) popülasyonlarını, MAF eşiğinde

🔖

Cite This Article

ALİ, M., MAHBOOB, M. Z., HAMİD, A., MUSHTAQ, N., BATOOL, S., BATOOL, H., ZEESHAN, N., SUGHRA, K., ASHRAF, N. M. (2022). Data-mining approach for screening of rare genetic elements associated with predisposition of prostate cancer in South-Asian populations. Türk Biyokimya Dergisi, Cilt: 44 - Sayı: 6, 848–854. https://ajindex.com/articles/621249

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Mann T, Lutwak-Mann C. Male reproductive function and semen: themes and trends in physiology, biochemistry and investigative andrology, 1 ed. Berlin: Springer, 1981:17–499
  2. Miller DC, Hafez K, Stewart A, Montie J, Wei J. Prostate carcinoma presentation, diagnosis, and staging: an update from the National Cancer Data Base. Cancer 2003;98:1169–78
  3. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin 2011;61:69–90
  4. Stewart BW, Wild CP, editors. World Cancer Report. International Agency for Research on Cancer, World Health Organization, 2014;1:16–52
  5. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin 2015;65:87–108
  6. Center MM, Jemal A, Lortet-Tieulent J, Ward E, Ferlay J, Brawley O, et al. International variation in prostate cancer incidence and mortality rates. Eur Urol 2012;61:1079–92
  7. Knipe DW, Evans D, Kemp J, Eeles R, Easton D, Kote-Jarai Z, et al. Genetic variation in prostate-specific antigen–detected prostate cancer and the effect of control selection on genetic association studies. Cancer Epidemiol Biomarkers Prev 2014;23:1356–65
  8. Demichelis F, Fall K, Perner S, Andrén O, Schmidt F, Setlur S, et al. TMPRSS2: ERG gene fusion associated with lethal prostate cancer in a watchful waiting cohort. Oncogene 2007;26:4596–9
  9. Cairns P, Okami K, Halachmi S, Halachmi N, Esteller M, Herman JG, et al. Frequent inactivation of PTEN/MMAC1 in primary prostate cancer. Cancer Res 1997;57:4997–5000
  10. Dhanasekaran SM, Barrette T, Ghosh D, Shah R, Varambally S, Kurachi K, et al. Delineation of prognostic biomarkers in prostate cancer. Nature 2001;412:822–6
  11. Ali HE, Lung PY, Sholl AB, Gad SA, Bustamante JJ, Ali HI, et al. Dysregulated gene expression predicts tumor aggressiveness in African-American prostate cancer patients. Sci Rep 2018;8:16335
  12. Priyadarshini A, Chakraborti A, Mandal AK, Singh SK. Asp299Gly and Thr399Ile polymorphism of TLR-4 gene in patients with prostate cancer from North India. Indian J Urol 2013;29:37–41
  13. Srivastava P, Lone T, Kapoor R, Mittal RD. Association of promoter polymorphisms in MMP2 and TIMP2 with prostate cancer susceptibility in North India. Arch Med Res 2012;43:117–24
  14. Chen R, Ren S, Yiu M, Fai N, Cheng W, Ian L, et al. Prostate cancer in Asia: a collaborative report. Asian J Urol 2014;1:15–29
  15. Sobti R, Onsory K, Al-Badran A, Kaur P, Watanabe M, Krishan A, et al. CYP17, SRD5A2, CYP