Multi Omics Strategies For Detecting Gene Environment Interactions
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Multi-omics strategies for detecting gene-environment interactions
Our DNA, 3 billion letters long, is the blueprint of life. People differ from each other in around 1% of these letters. However, it is largely unknown which of these differences cause disease, nor how exactly changes in DNA ultimately lead to disease. In my PhD research I contributed to the detection of these genetic risk factors and studied how these DNA changes actually disrupt the correct functioning of cells. Using the "Genome of the Netherlands" project results, in which the BBMRI-NL consortium fully mapped the DNA of 250 Dutch families, I was able to improve genetic research in other groups of people and thereby better detect genetic risk factors. I then looked at how these DNA changes disrupt individual cells in a large number of people participating in various Dutch bio-banks such as Lifelines. By looking at DNA, RNA, epigenetics and proteins at the same time, I was able to discover many genetic risk factors, which biological processes they disrupt, and which ones offer starting points for the development of new medicines that can repair these disrupted processes. In addition, through the large-scale re-use of RNA data, I was able to map how many genes relate together and to disease. With these big data analyses, I subsequently developed a new algorithm that is now being used to make a diagnosis more quickly in people with a serious illness. With my PhD research, I contributed to the immediate improvement of patient care and collected new knowledge that could help in the longer term with the development of new medicines.
Applications of Multi-Omics
Author: Richard Skiba
language: en
Publisher: After Midnight Publishing
Release Date: 2025-02-19
In the era of big data and personalized medicine, Applications of Multi-Omics serves as a comprehensive guide to integrating biological data across genomics, transcriptomics, proteomics, metabolomics, and epigenomics. This book explores how multi-omics technologies provide a holistic view of biological systems, transforming our understanding of human health, disease mechanisms, drug development, and environmental science. Written for researchers, healthcare professionals, and students in life sciences, this book breaks down complex concepts into accessible insights, covering key methodologies, computational approaches, and real-world applications. From precision medicine and biomarker discovery to AI-driven data integration and ethical considerations, Applications of Multi-Omics provides a deep dive into how multi-layered biological data is revolutionizing biomedical research and healthcare. Whether you are an academic researcher seeking to integrate multi-omics in your studies, a clinician exploring omics-driven diagnostics, or a data scientist working at the intersection of AI and life sciences, this book is an essential resource. It highlights emerging trends, challenges, and future directions in multi-omics, paving the way for groundbreaking discoveries in personalized medicine, biotechnology, and agricultural research. Join the multi-omics revolution and uncover the intricate biological networks shaping the future of science and medicine.
Genetics and Biotechnology in animal Breeding
Genetics and Biotechnology in Animal Breeding the principles of genetic inheritance and the application of modern biotechnological tools in improving livestock productivity and sustainability. Topics such as selective breeding, genetic engineering, molecular markers, and reproductive technologies, this book provides a comprehensive understanding of how genetics and biotechnology shape animal breeding programs. It examines ethical considerations, advancements in genome editing, and the impact of biotechnology on food security and conservation. Ideal for students, researchers, and professionals in animal science, this bridges traditional breeding techniques with cutting-edge innovations for the future of livestock improvement.