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Related papers: Genetic variation in human drug-related genes

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We have analyzed gene expression data from 3 different kinds of samples: normal human tissues, human cancer cell lines and leukemic cells from lymphoid and myeloid leukemia pediatric patients. We have searched for genes that are over…

Tissues and Organs · Quantitative Biology 2009-11-11 Joseph Lotem , Dvir Netanely , Eytan Domany , Leo Sachs

Phenotypic heterogeneity in cancer cells is widely observed and is often linked to drug resistance. In several cases, such heterogeneity in drug sensitivity of tumors is driven by stochastic and reversible acquisition of a drug tolerant…

Molecular Networks · Quantitative Biology 2019-01-28 Niraj Kumar , Gwendolyn M. Cramer , Seyed Alireza Zamani Dahaj , Bala Sundaram , Jonathan P. Celli , Rahul V. Kulkarni

Multidrug resistance consists of a series of genetic and epigenetic alternations that involve multifactorial and complex processes, which are a challenge to successful cancer treatments. Accompanied by advances in biotechnology and…

Populations and Evolution · Quantitative Biology 2022-04-19 Heyrim Cho , Doron Levy

Electronic properties of DNA are believed to play a crucial role in many phenomena in living organisms, for example the location of DNA lesions by base excision repair (BER) glycosylases and the regulation of tumor-suppressor genes such as…

Other Quantitative Biology · Quantitative Biology 2012-02-21 Chi-Tin Shih , Stephen A. Wells , Ching-Ling Hsu , Yun-Yin Cheng , Rudolf A. Römer

BRCA genes, comprising BRCA1 and BRCA2 play indispensable roles in preserving genomic stability and facilitating DNA repair mechanisms. The presence of germline mutations in these genes has been associated with increased susceptibility to…

Genomics · Quantitative Biology 2023-09-04 Woowon Jang , Shiwoo Koak , Jiwon Im , Utku Ozbulak , Joris Vankerschaver

Understanding how genetic variants influence cellular-level processes is an important step towards understanding how they influence important organismal-level traits, or "phenotypes", including human disease susceptibility. To this end…

Methodology · Statistics 2013-07-30 Heejung Shim , Matthew Stephens

Antimicrobial resistance is an emerging global health crisis that is undermining advances in modern medicine and, if unmitigated, threatens to kill 10 million people per year worldwide by 2050. Research over the last decade has demonstrated…

Quantitative Methods · Quantitative Biology 2020-09-24 K. Farquhar , H. Flohr , D. A. Charlebois

Predicting the response of cancer cells to drugs is an important problem in pharmacogenomics. Recent efforts in generation of large scale datasets profiling gene expression and drug sensitivity in cell lines have provided a unique…

Quantitative Methods · Quantitative Biology 2018-11-01 Cheng Qian , Nicholas D. Sidiropoulos , Magda Amiridi , Amin Emad

It is widely recognized nowadays that complex diseases are caused by, amongst the others, multiple genetic factors. The recent advent of genome-wide association study (GWA) has triggered a wave of research aimed at discovering genetic…

Applications · Statistics 2011-09-30 Nguyen Xuan Vinh

The concept of personalised medicine in cancer therapy is becoming increasingly important. There already exist drugs administered specifically for patients with tumours presenting well-defined mutations. However, the field is still in its…

Biomolecules · Quantitative Biology 2024-08-26 Abbi Abdel-Rehim , Oghenejokpeme Orhobor , Gareth Griffiths , Larisa Soldatova , Ross D. King

Many common diseases have a complex genetic basis in which large numbers of genetic variations combine with environmental and lifestyle factors to determine risk. However, quantifying such polygenic effects and their relationship to disease…

One goal of human genetics is to understand how the information for precise and dynamic gene expression programs is encoded in the genome. The interactions of transcription factors (TFs) with DNA regulatory elements clearly play an…

Genomics · Quantitative Biology 2014-04-15 Darren A. Cusanovich , Bryan Pavlovic , Jonathan K. Pritchard , Yoav Gilad

Recent advances in genomic sequencing technology have resulted in an abundance of genome sequence data. Despite the progress in interpreting those data, there remains a broad scope for their translation into clinical and societal benefits.…

Genomics · Quantitative Biology 2021-12-13 Abhinav Jain , Greg Slabaugh , Deepti Gurdasani

Gene/pathway-based methods are drawing significant attention due to their usefulness in detecting rare and common variants that affect disease susceptibility. The biological mechanism of drug responses indicates that a gene-based analysis…

Applications · Statistics 2014-08-04 Jung-Ying Tzeng , Wenbin Lu , Fang-Chi Hsu

Motivation: Analysis of relationships of drug structure to biological response is key to understanding off-target and unexpected drug effects, and for developing hypotheses on how to tailor drug thera-pies. New methods are required for…

Machine Learning · Statistics 2014-04-30 Suleiman A Khan , Seppo Virtanen , Olli P Kallioniemi , Krister Wennerberg , Antti Poso , Samuel Kaski

The evolution of drug resistance in HIV occurs by the fixation of specific, well-known, drug-resistance mutations, but the underlying population genetic processes are not well understood. By analyzing within-patient longitudinal sequence…

Populations and Evolution · Quantitative Biology 2013-11-15 Pleuni Pennings , Sergey Kryazhimskiy , John Wakeley

Introduction: Even in effectively conducted randomised trials, the probability of a successful study remains relatively low. With recent advances in the next-generation sequencing technologies, there is a rapidly growing number of…

The premise of genetic analysis is that a causal link exists between phenotypic and allelic variation. Yet it has long been documented that mutant phenotypes are not a simple result of a single DNA lesion, but rather are due to interactions…

Genomics · Quantitative Biology 2014-06-04 Chris H. Chandler , Sudarshan Chari , Ian Dworkin

Drug gradients are believed to play an important role in the evolution of bacteria resistant to antibiotics and tumors resistant to anti-cancer drugs. We use a statistical physics model to study the evolution of a population of malignant…

Populations and Evolution · Quantitative Biology 2015-06-04 Philip Greulich , Bartlomiej Waclaw , Rosalind J. Allen

Precision cancer medicine aims to determine the optimal treatment for each patient. In-vitro cancer drug sensitivity screens combined with multi-omics characterization of the cancer cells have become an important tool to achieve this aim.…

Methodology · Statistics 2024-03-14 Zhi Zhao , Marco Banterle , Alex Lewin , Manuela Zucknick