Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Omar M E Albagha"'
Autor:
Asma A Elashi, Salman M Toor, Umm-Kulthum Ismail Umlai, Yasser A Al-Sarraj, Shahrad Taheri, Karsten Suhre, Abdul Badi Abou-Samra, Omar M E Albagha
Publikováno v:
BMC Medical Genomics, Vol 17, Iss 1, Pp 1-12 (2024)
Abstract Background The genetic basis of type 2 diabetes (T2D) is under-investigated in the Middle East, despite the rapidly growing disease prevalence. We aimed to define the genetic determinants of T2D in Qatar. Methods Using whole genome sequencin
Externí odkaz:
https://doaj.org/article/c774abd0646240a2b405daad8348f9b2
Autor:
Walid M Naser, Mohamed A Shawarby, Dalal M Al-Tamimi, Arun Seth, Abdulaziz Al-Quorain, Areej M Al Nemer, Omar M E Albagha
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e113350 (2014)
In this article, we report 7 novel KRAS gene mutations discovered while retrospectively studying the prevalence and pattern of KRAS mutations in cancerous tissue obtained from 56 Saudi sporadic colorectal cancer patients from the Eastern Province.Gen
Externí odkaz:
https://doaj.org/article/87c7cdde06b84ff08acd9236768624dd
Autor:
Shaza B. Zaghlool, Anna Halama, Nisha Stephan, Valborg Gudmundsdottir, Vilmundur Gudnason, Lori L. Jennings, Manonanthini Thangam, Emma Ahlqvist, Rayaz A. Malik, Omar M. E. Albagha, Abdul Badi Abou‑Samra, Karsten Suhre
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Four T2D subtypes were previously identified: severe insulin deficient, severe insulin resistant, mild obesity-related, and mild age-related diabetes. Here, the authors show that these subtypes can be translated to an Arabic population and identify d
Externí odkaz:
https://doaj.org/article/024c4ed8cecf48589549684338878032
Autor:
Salman M. Toor, Eman K. Aldous, Aijaz Parray, Naveed Akhtar, Yasser Al-Sarraj, Essam M. Abdelalim, Abdelilah Arredouani, Omar El-Agnaf, Paul J. Thornalley, Sajitha V. Pananchikkal, Ghulam Jeelani Pir, Raheem Ayadathil Thazhhe Kuni, Ashfaq Shuaib, Nehad M. Alajez, Omar M. E. Albagha
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Stroke is the second leading cause of global mortality and continued efforts aim to identify predictive, diagnostic, or prognostic biomarkers to reduce the disease burden. Circulating microRNAs (miRNAs) have emerged as potential biomarkers in stroke.
Externí odkaz:
https://doaj.org/article/14182f8bb886419da0388089a89ec258
Autor:
Ilhame Diboun, Yasser Al-Sarraj, Salman M. Toor, Shaban Mohammed, Nadeem Qureshi, Moza S. H. Al Hail, Amin Jayyousi, Jassim Al Suwaidi, Omar M. E. Albagha
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Familial hypercholesterolemia (FH) is an inherited disease characterized by reduced efficiency of low-density lipoprotein-cholesterol (LDL-C) removal from the blood and, consequently, an increased risk of life-threatening early cardiovascular complic
Externí odkaz:
https://doaj.org/article/24e107776a2c4f2a8e333ab37ad49833
Autor:
Gaurav Thareja, Yasser Al-Sarraj, Aziz Belkadi, Maryam Almotawa, The Qatar Genome Program Research (QGPR) Consortium, Karsten Suhre, Omar M. E. Albagha
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
The genetic basis for traits can vary between populations. Here the authors report a genome wide association study with 45 clinically-relevant traits in individuals from Qatar, replicating many known loci and identifying new Qatari-predominant signal
Externí odkaz:
https://doaj.org/article/550716d2d177482ca7de149aa5671de9
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Osteoclasts are the sole bone resorbing cells, which undertake opposing roles to osteoblasts to affect skeletal mass and structure. However, unraveling the comprehensive molecular mechanisms behind osteoclast differentiation is necessitated to overco
Externí odkaz:
https://doaj.org/article/e0add5643ad847dbb150bad583507793
Autor:
Gaurav Thareja, Anne M. Evans, Spencer D. Wood, Nisha Stephan, Shaza Zaghlool, Anna Halama, Gabi Kastenmüller, Aziz Belkadi, Omar M. E. Albagha, The Qatar Genome Program Research Consortium, Karsten Suhre
Publikováno v:
Metabolites, Vol 12, Iss 6, p 496 (2022)
Genome-wide association studies (GWAS) with non-targeted metabolomics have identified many genetic loci of biomedical interest. However, metabolites with a high degree of missingness, such as drug metabolites and xenobiotics, are often excluded from
Externí odkaz:
https://doaj.org/article/8ae1076577854fff893f9f63a2fbdfe7
Autor:
Nerea Alonso, Omar M E Albagha, Asim Azfer, Beatriz Larraz-Prieto, Kathryn Berg, Philip L Riches, Barbara Ostanek, Tomaz Kocjan, Janja Marc, Bente L Langdahl, Stuart H Ralston
Publikováno v:
Alonso, N, Albagha, O M E, Azfer, A, Larraz-Prieto, B, Berg, K, Riches, P L, Ostanek, B, Kocjan, T, Marc, J, Langdahl, B L & Ralston, S H 2023, ' Genome-wide association study identifies genetic variants which predict the response of bone mineral density to teriparatide therapy ', Annals of the Rheumatic Diseases, vol. 82, no. 7, pp. 985-991 . https://doi.org/10.1136/ard-2022-223618
ObjectivesTeriparatide (TPTD) is an effective treatment for osteoporosis but the individual response to therapy is variable for reasons that are unclear. This study aimed to determine whether the response to TPTD might be influenced by genetic factor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df1049742e9ffdbf5491e6317da0fc9d
https://pure.au.dk/portal/da/publications/genomewide-association-study-identifies-genetic-variants-which-predict-the-response-of-bone-mineral-density-to-teriparatide-therapy(34e42bcd-5709-40ce-8190-7b1b6ac2ad79).html
https://pure.au.dk/portal/da/publications/genomewide-association-study-identifies-genetic-variants-which-predict-the-response-of-bone-mineral-density-to-teriparatide-therapy(34e42bcd-5709-40ce-8190-7b1b6ac2ad79).html
Autor:
Gaurav Thareja, Aziz Belkadi, Matthias Arnold, Omar M E Albagha, Johannes Graumann, Frank Schmidt, Harald Grallert, Annette Peters, Christian Gieger, The Qatar Genome Program Research Consortium, Karsten Suhre
Publikováno v:
Hum. Mol. Genet. 32, 907–916 (2023)
Johannes Graumann
Johannes Graumann
Polygenic scores (PGS) can identify individuals at risk of adverse health events and guide genetics-based personalized medicine. However, it is not clear how well PGS translate between different populations, limiting their application to well-studied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34400e6efb6822d0fe67bc5831ec73a4
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=66379
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=66379