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Related Concept Videos

Polygenic Traits01:18

Polygenic Traits

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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Related Experiment Video

Updated: Jan 13, 2026

High-resolution Melting PCR for Complement Receptor 1 Length Polymorphism Genotyping: An Innovative Tool for Alzheimer's Disease Gene Susceptibility Assessment
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Homomorphic encryption enables privacy preserving polygenic risk scores.

Elizabeth Knight1, Jiaqi Li1, Matthew Jensen1

  • 1Program in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT 06520, USA.

Cell Reports Methods
|January 9, 2026
PubMed
Summary

Fully homomorphic encryption (FHE) enables privacy-preserving polygenic risk score models (PRSs) for personalized medicine. Our HEPRS tool demonstrates practical, accurate, and secure genomic risk prediction without compromising sensitive patient data.

Keywords:
CP: computational biologyCP: geneticsgenomic privacygenomicshomomorphic encryptionpolygenic risk score

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Area of Science:

  • Genomics
  • Cryptography
  • Precision Medicine

Background:

  • Polygenic risk scores (PRSs) are crucial for personalized risk prediction in precision medicine.
  • The use of PRSs raises significant privacy concerns due to the sensitive nature of genomic data.

Purpose of the Study:

  • To develop and evaluate an open-source implementation of fully homomorphic encryption (FHE) for privacy-preserving polygenic risk score (PRS) models.
  • To assess the feasibility and accuracy of using FHE for secure genomic data computation.

Main Methods:

  • Developed HEPRS, an open-source system utilizing a three-party model (clients, modelers, evaluators) for FHE-based PRS.
  • Applied HEPRS to synthetic datasets and a 110,000 SNP schizophrenia risk model.
  • Investigated encryption parameters affecting accuracy, memory, and computation time.

Main Results:

  • Encrypted and plaintext PRSs showed close agreement, indicating high accuracy.
  • HEPRS demonstrated practical usability on a single CPU.
  • The study confirmed that FHE enables realistic PRS with negligible accuracy loss.

Conclusions:

  • Fully homomorphic encryption offers a viable solution for privacy-preserving PRS.
  • HEPRS supports secure and scalable genomic analytics, enhancing precision medicine applications.
  • The developed FHE implementation facilitates confidential risk prediction from sensitive genomic data.