Breast cancer risk prediction using a clinical risk model and polygenic risk score
نویسندگان
چکیده
منابع مشابه
Relationship between diet diversity score and breast cancer risk
Background: The average age of women with breast cancer in Iran is at least 10 years lower in comparison to developed countries and the incidence of the disease in Iranian women is on a rise. According to studies, diets that are diverse in food groups can play a role in protecting against chronic diseases including cardiovascular diseases and cancer. Diet diversity score is an indicator used to...
متن کاملEvaluation of three polygenic risk score models for the prediction of breast cancer risk in Singapore Chinese
Genome-wide association studies (GWAS) have proven highly successful in identifying single nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk. The majority of these studies are on European populations, with limited SNP association data in other populations. We genotyped 51 GWAS-identified SNPs in two independent cohorts of Singaporean Chinese. Cohort 1 comprised 1294 BC cas...
متن کاملPRSice: Polygenic Risk Score software
SUMMARY A polygenic risk score (PRS) is a sum of trait-associated alleles across many genetic loci, typically weighted by effect sizes estimated from a genome-wide association study. The application of PRS has grown in recent years as their utility for detecting shared genetic aetiology among traits has become appreciated; PRS can also be used to establish the presence of a genetic signal in un...
متن کاملBreast Cancer: Risk Factors, Diagnosis and Management
ABSTRACT Breast cancer remains the most common cancer of women and one of the most common causes of cancer-related deaths worldwide. In spite of major advances in breast cancer diagnosis and treatment, the incidence of breast cancer remains high and the treatment of metastatic breast cancer remains challenging. This review presents an over...
متن کاملKorean Risk Assessment Model for Breast Cancer Risk Prediction
PURPOSE We evaluated the performance of the Gail model for a Korean population and developed a Korean breast cancer risk assessment tool (KoBCRAT) based upon equations developed for the Gail model for predicting breast cancer risk. METHODS Using 3,789 sets of cases and controls, risk factors for breast cancer among Koreans were identified. Individual probabilities were projected using Gail's ...
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ژورنال
عنوان ژورنال: Breast Cancer Research and Treatment
سال: 2016
ISSN: 0167-6806,1573-7217
DOI: 10.1007/s10549-016-3953-2