Abstract PS8-02: Influence of a breast cancer polygenic risk score on adherence to preventive endocrine therapy in high risk women at 1 and 2 year follow-up: The genetic risk estimate (GENRE) trial

2021 ◽  
Author(s):  
Daniela Stan ◽  
Julian Kim ◽  
Daniel Schaid ◽  
Erin Carlson ◽  
Andrew Cooke ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Endocrine Therapy ◽  
Risk Score ◽  
Genetic Risk ◽  
Risk Estimate ◽  
Polygenic Risk Score ◽  
Polygenic Risk ◽  
High Risk Women

Polygenic risk score for breast cancer in high-risk women.

2018 ◽  
Vol 36 (15_suppl) ◽  
pp. 1508-1508 ◽  
Author(s):  
Mary Helen Black ◽  
Shuwei Li ◽  
Holly LaDuca ◽  
Jefferey Chen ◽  
Robert Hoiness ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Risk Score ◽  
Polygenic Risk Score ◽  
Polygenic Risk ◽  
High Risk Women

scholarly journals Accurate Prediction Model - Polygenic Risk Score for High-Risk Individuals Predictive of Gastric Cancer

2021 ◽  
Author(s):  
Fujiao Duan ◽  
Chunhua Song ◽  
Peng Wang ◽  
Hua Ye ◽  
Liping Dai ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
High Risk ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Factors ◽  
Prediction Models ◽  
Information Criterion ◽  
Polygenic Risk Score ◽  
Polygenic Risk ◽  
H Pylori

Abstract Background The genetic variation of gastric cancer has not been fully identified. We aimed to screen and identify common variant single nucleotide polymorphisms (SNPs) and long noncoding RNA (lncRNA) related SNPs associated with the risk of gastric cancer, and construct and evaluate prediction models based on polygenic risk score (PRS). Methods Non-genetic factors such as H.pylori infection, environment, and genetic factors associated with gastric cancer were screened following meta-analysis and bioinformatics,verified by frequency matched case-control study. PRS and weighted genetic risk scores (wGRS) were derived from estimation of effect size. Net reclassification improvement (NRI), integrated discrimination improvement (IDI), akaike information criterion (AIC) and bayesian information criterion (BIC) were used to evaluate model. Results A risk gradient was observed across quantile of the PRS, the results showed that the risk of gastric cancer in the highest 10 quantile of PRS was 3.24 folds higher than that of the general population (OR=3.24,95%CI: 2.07, 5.06). The PRS with one or more risk factors (smoking, drinking and H. pylori infection) was superior to the single genetic risk model. For NRI and IDI, the PRS combinations were significantly improved compared to wGRS model combinations (P<0.001). The model of PRS combined with lncRNA SNPs, smoking, drinking and H. pylori infection was the best fitting model (AIC=117.23, BIC=122.31). Conclusion Our findings indicated that the model based on PRS combined with lncRNA SNPs, smoking, drinking, and H. pylori infection had the optimal predictive ability on the risk of gastric cancer, contributing to distinguish high-risk groups from population.

scholarly journals Identifying individuals with high risk of Alzheimer’s disease using polygenic risk scores

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ganna Leonenko ◽  
Emily Baker ◽  
Joshua Stevenson-Hoare ◽  
Annerieke Sierksma ◽  
Mark Fiers ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Genetic Risk ◽  
Prediction Accuracy ◽  
Genetic Risk Score ◽  
Low Risk ◽  
Risk Scores ◽  
Sample Mean ◽  
Polygenic Risk ◽  
Reliable Identification

AbstractPolygenic Risk Scores (PRS) for AD offer unique possibilities for reliable identification of individuals at high and low risk of AD. However, there is little agreement in the field as to what approach should be used for genetic risk score calculations, how to model the effect of APOE, what the optimal p-value threshold (pT) for SNP selection is and how to compare scores between studies and methods. We show that the best prediction accuracy is achieved with a model with two predictors (APOE and PRS excluding APOE region) with pT<0.1 for SNP selection. Prediction accuracy in a sample across different PRS approaches is similar, but individuals’ scores and their associated ranking differ. We show that standardising PRS against the population mean, as opposed to the sample mean, makes the individuals’ scores comparable between studies. Our work highlights the best strategies for polygenic profiling when assessing individuals for AD risk.

scholarly journals Polygenic risk for schizophrenia, transition and cortical gyrification: a high-risk study

2017 ◽  
Vol 48 (9) ◽  
pp. 1532-1539 ◽  
Author(s):  
E. Neilson ◽  
C. Bois ◽  
T.-K. Clarke ◽  
L. Hall ◽  
E. C. Johnstone ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Familial Risk ◽  
Positive Association ◽  
Polygenic Risk Score ◽  
Polygenic Risk ◽  
Score Analysis ◽  
Increased Risk ◽  
Heritable Disorder ◽  
Diagnostic Symptoms

AbstractBackgroundSchizophrenia is a highly heritable disorder, linked to several structural abnormalities of the brain. More specifically, previous findings have suggested that increased gyrification in frontal and temporal regions are implicated in the pathogenesis of schizophrenia.MethodsThe current study included participants at high familial risk of schizophrenia who remained well (n= 31), who developed sub-diagnostic symptoms (n= 28) and who developed schizophrenia (n= 9) as well as healthy controls (HC) (n= 16). We first tested whether individuals at high familial risk of schizophrenia carried an increased burden of trait-associated alleles using polygenic risk score analysis. We then assessed the extent to which polygenic risk was associated with gyral folding in the frontal and temporal lobes.ResultsWe found that individuals at high familial risk of schizophrenia who developed schizophrenia carried a significantly greater burden of risk-conferring variants for the disorder compared to those at high risk (HR) who developed sub-diagnostic symptoms or remained well and HC. Furthermore, within the HR cohort, there was a significant and positive association between schizophrenia polygenic risk score and bilateral frontal gyrification.ConclusionsThese results suggest that polygenic risk for schizophrenia impacts upon early neurodevelopment to confer greater gyral folding in adulthood and an increased risk of developing the disorder.

Effects of genetic risk for alcohol dependence and onset of regular drinking on the progression to alcohol dependence: A polygenic risk score approach

2021 ◽  
pp. 109117
Author(s):  
Ellen W. Yeung ◽  
Kellyn M. Spychala ◽  
Alex P. Miller ◽  
Jacqueline M. Otto ◽  
Joseph D. Deak ◽  
...  
Keyword(s):  
Alcohol Dependence ◽  
Risk Score ◽  
Genetic Risk ◽  
Polygenic Risk Score ◽  
Polygenic Risk
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