The first SaaS to perform
Polygenic Risk Score (PRS) analysis

Clinical grade risk prediction

Allelica is the first and only company to offer a Software as a
Service to perform genomic risk prediction based on PRSs.
Our technology uses world class datasets and combines the
best algorithms to generate PRSs with the highest predictive
power. Through the integration of these state-of-the-art PRSs with
clinical risk factors, we provide personalized absolute risk
models with proven clinical utility.

Allelica’s PRSs

Our PRSs identify individuals with a high genetic
liability of life-threatening diseases like breast cancer and
heart disease who are currently unidentified by traditional risk
models. These individuals can be identified through PRS testing,
allowing for early intervention to reduce lifetime risk.

At Allelica, we've developed and benchmarked the following PRSs against the
leaders in the industry, proven their unmatched predictive power:

  • - Coronary artery disease
  • - Breast cancer
  • - Prostate cancer
  • - Colon cancer
  • - Diabetes Type 2
  • - Alzheimer's
  • - Atrial fibrillation
  • - Early menopause

Development of PRS for Coronary Artery Disease (CAD)

Our team of researchers developed a new polygenic risk score (PRS) for CAD,
which takes into account information at 1,970,136 genome-wide variants
and uses a modified Stacked Clumping and Thresholding approach
to combine information across loci. This new PRS was compared to
previously published CAD PRSs and CAD risk based
on non-genetic clinical risk factors.


Main studies used to derive the Polygenic Risk Scores implemented in our software

1

Diabetes Type 1:

Development and Standardization of an Improved Type 1 Diabetes Genetic
Risk Score for Use in Newborn Screening and Incident Diagnosis


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2

Osteoporosis:

Identification of 153 new loci associated with heel bone mineral density and functional involvement of GPC6 in osteoporosis

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Multistage genome-wide association meta-analyses identified two new loci for
bone mineral density

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3

Cardiovascular Diseases:

Genome-wide polygenic scores for common diseases identify individuals with
risk equivalent to monogenic mutations

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Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease


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Polygenic Contribution in Individuals With Early-Onset Coronary Artery Disease


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Risk prediction by genetic risk scores for coronary heart disease is independent
of self-reported family history


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4

Irritable Bowel Syndrome:

Exploring the genetics of irritable bowel syndrome. A study in the general
population and replication in multinational case-control cohorts


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Genome-wide association study identifies two novel genomic regions in
irritable bowel syndrome

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5

Hypertension:

Genome-wide association analysis identifies novel blood pressure loci and
offers biological insights into cardiovascular risk


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6

Colon Cancer:

Novel Common Genetic Surcsceptibility Loci for Colorectal Cancer


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7

Diabetes type 2:

Personalized risk prediction for type 2 diabetes: the potential of genetic risk
scores


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The genetic architecture of type 2 diabetes

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8

Metabolic syndrome:

A bivariate genome-wide approach to metabolic syndrome: STAMPEED
consortium


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Genome-wide screen for metabolic syndrome susceptibility Loci reveals strong
lipid gene contribution but no evidence for common geneticbasis for
clustering of metabolic syndrome traits

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