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Everything about Predictive genomics
Predictive genomics is at the intersection of multiple disciplines: predictive medicine, personal genomics and translational bioinformatics. Specifically, predictive genomics deals with the future phenotypic outcomes via prediction in areas such as complex multifactorial diseases in humans. To date, the success of predictive genomics has been dependent on the genetic framework underlying these applications, typically explored in genome-wide association (GWA) studies. The identification of associated single-nucleotide polymorphisms underpin GWA studies in complex diseases that have ranged from Type 2 Diabetes (T2D), Age-related macular degeneration (AMD) and Crohn's disease. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Predictive genomicsA 5-minute orientation
- Skim a recent paper: Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancerInfluential work since 2022
- Pick up a classic book: Bioinformatics for geneticistsThe most-reprinted book on the subject
- Read the landmark paper: A functional genomics predictive network model identifies regulators of inflammatory bowel diseaseCited 263 times
- Go sideways: Polygenic scoreA closely related topic
- Go sideways: Genome-wide association studyA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
A functional genomics predictive network model identifies regulators of inflammatory bowel disease
The Kipoi repository accelerates community exchange and reuse of predictive models for genomics
Genomics-Based Reconstruction and Predictive Profiling of Amino Acid Biosynthesis in the Human Gut Microbiome
Beyond Public Health Genomics: Can Big Data and Predictive Analytics Deliver Precision Public Health?
Predictive biomarker discovery through the parallel integration of clinical trial and functional genomics datasets
Predictive Genomics DNA Profiling for Athletic Performance
Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics
The approach to predictive medicine that is taking genomics research by storm
🆕 Influential since 2022
Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer
Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight–related traits in winter wheat
Editorial: Artificial intelligence for personalized and predictive genomics data analysis
Genomics of predictive radiation mutagenesis in oilseed rape: modifying seed oil composition
A review of AI-driven phenomics, genomics, and predictive breeding in wheat
📚 Books worth reading
Bioinformatics for geneticistsMichael R. Barnes · 2003
Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing AlgorithmsZia-ur Rahman, Srinivasareddy Putluri · 2021
Root genomics and soil interactionsMartin Crespi · 2012
Methods for Computational Gene PredictionWilliam H. Majoros · 2007
Cancer GenomicsUlrich Pfeffer · 2013- 📕Genomic Clinical Trials and Predictive MedicineRichard M. Simon · 2013
Comparative genomicsJames R. Brown · 2007
Automation in proteomics and genomicsGil Alterovitz, Marco F. Ramoni · 2008
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Polygenic score In genetics, a polygenic score (PGS) is a number that summarizes the estimated effect of many genetic variants on an individual's phenotype. The PGS is…
- Genome-wide association study In genomics, a genome-wide association study (GWA study, or GWAS), is an observational study of a genome-wide set of genetic variants in different individuals…
- Missing heritability problem In genetics, the missing heritability problem refers to a difference between heritability estimates obtained from early genome-wide association studies…
- Single-nucleotide polymorphism In genetics and bioinformatics, a single-nucleotide polymorphism (SNP /snɪp/; plural SNPs /snɪps/) is a germline substitution of a single nucleotide at…
- Transcriptome-wide association study Transcriptome-wide association study (TWAS) is a genetic methodology that can be used to compare the genetic components of gene expression and the genetic…
- GWAS catalog The GWAS Catalog is a free online database that compiles data of genome-wide association studies (GWAS), summarizing unstructured data from different literature…
- Fine-mapping Fine-mapping is a set of methods in genetics used to identify the genetic variant or variants, often single-nucleotide polymorphisms (SNPs), most likely…
- SNP array In molecular biology, SNP array is a type of DNA microarray which is used to detect polymorphisms within a population. A single nucleotide polymorphism…