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Published June 2021 | Version v1
Journal article

Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity

  • 1. MOX, Department of Mathematics, Politecnico di Milano (Italy)
  • 2. CADS-Center for Analysis, Decisions and Society, Human Technopole, Milan (Italy)
  • 3. CHRP-National Center for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan (Italy)

Description

Highlights: • Epistasis aware polygenic risk scores (PRSs) can predict late radiotherapy toxicity. • SNP-SNP interactions can be summarized to foster interpretability. • Allele combinations may be more informative with respect to single genetic variants. • Our interaction-aware score outperforms classical PRSs. To identify the effect of single nucleotide polymorphism (SNP) interactions on the risk of toxicity following radiotherapy (RT) for prostate cancer (PCa) and propose a new method for polygenic risk score incorporating SNP-SNP interactions (PRSi).

Availability note (English)

Available from http://dx.doi.org/10.1016/j.radonc.2021.03.024

Additional details

Identifiers

DOI
10.1016/j.radonc.2021.03.024;
PII
S0167814021061612;

Publishing Information

Journal Title
Radiotherapy and Oncology
Journal Volume
159
Journal Page Range
p. 241-248
ISSN
0167-8140
CODEN
RAONDT

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54014172
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
GENETICS; HEALTH HAZARDS; NEOPLASMS; NUCLEOTIDES; PROSTATE; RADIOTHERAPY; TOXICITY
Descriptors DEC
BIOLOGY; BODY; DISEASES; GLANDS; HAZARDS; MALE GENITALS; MEDICINE; NUCLEAR MEDICINE; ORGANIC COMPOUNDS; ORGANS; RADIOLOGY; THERAPY

Optional Information

Copyright
Copyright (c) 2021 The Authors. Published by Elsevier B.V.