An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs

Autor: Milla Kibble, Suleiman A. Khan, Muhammad Ammad-ud-din, Sailalitha Bollepalli, Teemu Palviainen, Jaakko Kaprio, Kirsi H. Pietiläinen, Miina Ollikainen

Publikováno v: Royal Society Open Science, Vol 7, Iss 10 (2020)

We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult monozygotic twin pairs (aged 22–36 years, 53% female), where 25 of the twin pairs were substantially weight discordant (delta body mass index > 3 kg m−2). T

Externí odkaz: https://doaj.org/article/476425aae6fd400885c9915b23f20e29

From drug response profiling to target addiction scoring in cancer cell models

Autor: Bhagwan Yadav, Peddinti Gopalacharyulu, Tea Pemovska, Suleiman A. Khan, Agnieszka Szwajda, Jing Tang, Krister Wennerberg, Tero Aittokallio

Publikováno v: Disease Models & Mechanisms, Vol 8, Iss 10, Pp 1255-1264 (2015)

Deconvoluting the molecular target signals behind observed drug response phenotypes is an important part of phenotype-based drug discovery and repurposing efforts. We demonstrate here how our network-based deconvolution approach, named target addicti

Externí odkaz: https://doaj.org/article/26d5126068be4c76814df74a456af733

Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia

Autor: Cristina E. Tognon, Brian S. White, Suleiman A. Khan, Olli Kallioniemi, Stephen E. Kurtz, Caroline A. Heckman, Justin Guinney, Michael Mason, Kimmo Porkka, Tero Aittokallio, Swapnil Potdar, Disha Malani, Muhammad Ammad-ud-din, Krister Wennerberg, Brian J. Druker, Heikki Kuusanmäki, Jeffrey W. Tyner

Publikováno v: npj Precision Oncology, Vol 5, Iss 1, Pp 1-11 (2021)
White, B S, Khan, S A, Mason, M J, Ammad-ud-din, M, Potdar, S, Malani, D, Kuusanmäki, H, Druker, B J, Heckman, C, Kallioniemi, O, Kurtz, S E, Porkka, K, Tognon, C E, Tyner, J W, Aittokallio, T, Wennerberg, K & Guinney, J 2021, ' Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia ', n p j Precision Oncology, vol. 5, no. 1, 71 . https://doi.org/10.1038/s41698-021-00209-9
NPJ Precision Oncology

The FDA recently approved eight targeted therapies for acute myeloid leukemia (AML), including the BCL-2 inhibitor venetoclax. Maximizing efficacy of these treatments requires refining patient selection. To this end, we analyzed two recent AML studie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f6c1f1d35399ba57120996d85258cb9
http://hdl.handle.net/10852/91529

Erratum: Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis

Autor: Solveig K. Sieberts, Fan Zhu, Javier García-García, Eli Stahl, Abhishek Pratap, Gaurav Pandey, Dimitrios Pappas, Daniel Aguilar, Bernat Anton, Jaume Bonet, Ridvan Eksi, Oriol Fornés, Emre Guney, Hongdong Li, Manuel Alejandro Marín, Bharat Panwar, Joan Planas-Iglesias, Daniel Poglayen, Jing Cui, Andre O. Falcao, Christine Suver, Bruce Hoff, Venkat S. K. Balagurusamy, Donna Dillenberger, Elias Chaibub Neto, Thea Norman, Tero Aittokallio, Muhammad Ammad-ud-din, Chloe-Agathe Azencott, Víctor Bellón, Valentina Boeva, Kerstin Bunte, Himanshu Chheda, Lu Cheng, Jukka Corander, Michel Dumontier, Anna Goldenberg, Peddinti Gopalacharyulu, Mohsen Hajiloo, Daniel Hidru, Alok Jaiswal, Samuel Kaski, Beyrem Khalfaoui, Suleiman Ali Khan, Eric R. Kramer, Pekka Marttinen, Aziz M. Mezlini, Bhuvan Molparia, Matti Pirinen, Janna Saarela, Matthias Samwald, Véronique Stoven, Hao Tang, Jing Tang, Ali Torkamani, Jean-Phillipe Vert, Bo Wang, Tao Wang, Krister Wennerberg, Nathan E. Wineinger, Guanghua Xiao, Yang Xie, Rae Yeung, Xiaowei Zhan, Cheng Zhao, Members of the Rheumatoid Arthritis Challenge Consortium, Jeff Greenberg, Joel Kremer, Kaleb Michaud, Anne Barton, Marieke Coenen, Xavier Mariette, Corinne Miceli, Nancy Shadick, Michael Weinblatt, Niek de Vries, Paul P. Tak, Danielle Gerlag, Tom W. J. Huizinga, Fina Kurreeman, Cornelia F. Allaart, S. Louis Bridges Jr., Lindsey Criswell, Larry Moreland, Lars Klareskog, Saedis Saevarsdottir, Leonid Padyukov, Peter K. Gregersen, Stephen Friend, Robert Plenge, Gustavo Stolovitzky, Baldo Oliva, Yuanfang Guan, Lara M. Mangravite

Publikováno v: Nature Communications, Vol 7, Iss 1, Pp 1-1 (2016)

Nature Communications 7: Article number: 12460 (2016); Published: 23 August 2016; Updated: 10 October 2016. The HTML version of this Article incorrectly duplicated the authors S. Louis Bridges, Lindsey Criswell, Larry Moreland, Lars Klareskog, Saedis

Externí odkaz: https://doaj.org/article/8cf02848677143269013f79182f99711

An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs

Autor: Muhammad Ammad-ud-din, Suleiman A. Khan, Jaakko Kaprio, Kirsi H. Pietiläinen, Sailalitha Bollepalli, Miina Ollikainen, Teemu Palviainen, Milla Kibble

Publikováno v: Royal Society Open Science
Royal Society Open Science, Vol 7, Iss 10 (2020)

We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult monozygotic twin pairs (aged 22–36 years, 53% female), where 25 of the twin pairs were substantially weight discordant (delta body mass index > 3 kg m −2 ).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0233377dbfc01448443612248d179482
https://pubmed.ncbi.nlm.nih.gov/33204460