The PREDICT module: Unlocking the power of genomics

Unlocking the power of genomics to identify an individual’s genetic risk of disease In our previous articles on Allelica’s PRS pipeline, we ran through how you can use our DISCOVER module to build your own PRS for a disease or trait of interest, as well as how our VALIDATE module

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The VALIDATE module: Quantifying the power of PRS

Essential testing of your PRS on an independent population In our previous articles outlining Allelica’s PRS pipeline we described how users can impute genotype or low coverage sequencing data  and build their own PRS using our cloud-based computing platform. A key aspect of the DISCOVER module is that it allows

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The DISCOVER Module: Seamlessly building new polygenic risk scores

A user friendly, cloud-based computing solution to build state-of-the-art, publication ready polygenic risk scores The DISCOVER module allows users to build their own polygenic risk scores (PRS) from genetic data and summary statistics from a Genome Wide Association Study (GWAS).   In this piece, we’ll run through what the DISCOVER

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The IMPUTE Module: Enriching Low-Coverage and Microarray data

Fast and scalable genome imputation of Low-Coverage WGS and Microarray data in just minutes Allelica’s PRS pipeline is built around a set of interconnected modules. Each module is designed to give the user enough control to run it as needed whilst leaving all the hard computational work behind the scenes.

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Coronary Artery Disease: Predicting risk through genetics

Within the last two decades, and upon completion of the world’s largest biological project in 2003, interest in the human genome and its effect on health and disease risk has soared. Mapping of the human DNA sequence has allowed for the identification of fundamental errors in the genetic code that

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Large Scale Genomics Datasets In the UK

We previously wrote about the enormous impact that the UK Biobank (UKBB) is having to translational research. Although the scientific outputs from this project are now beginning to stack up — as of February 2020, 1053 scientific papers had been published using the resource — the project was originally established almost 15

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Genetics is actionable

In Allelica we’re very excited about the incredible advances that analyses of large DNA datasets are bringing to medicine.   In addition to the increasingly nuanced view of the polygenic complexity of common disease, these studies confirm that your DNA doesn’t, on its own, determine disease.   It’s usually the

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Beyond BRCA

Vast quantities of human DNA have been sequenced for biomedical research and clinicians, researchers and innovators are now beginning to focus on the next phase of the genomic revolution: translating these data into tools that aim to make a difference in the real world. New insights into breast cancer risk

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Disease is Polygenic

In the late 19th Century, a Moravian monk named Gregor Mendel passed his time by running experiments cross-breeding different types of pea plant. Amongst his botanical collection of perennials he had legumes with a variety of physical characteristics. He had short and tall pea plants, pea plants with different coloured

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The UK Biobank : unleashing the power of genome

A central goal of preventative medicine is to identify the people most at risk of disease early enough that something can be done. Spotting those at higher risk of getting cancer, for example, means that screening programs can be targeted at this group, allowing the disease to be caught early

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