Nilanjan Chatterjee
- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Genomics and Diagnostics
- Epigenetics and DNA Methylation
- Genetic and phenotypic traits in livestock
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Nutrition, Genetics, and Disease
- Genetic factors in colorectal cancer
- Gene expression and cancer classification
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Statistical Methods and Inference
- Cancer Risks and Factors
- Nutritional Studies and Diet
- Lymphoma Diagnosis and Treatment
- Advanced Causal Inference Techniques
- Bladder and Urothelial Cancer Treatments
- Global Cancer Incidence and Screening
- Molecular Biology Techniques and Applications
- Liver Disease Diagnosis and Treatment
- Genomic variations and chromosomal abnormalities
- RNA Research and Splicing
- Pancreatic and Hepatic Oncology Research
Johns Hopkins University
2010-2024
National Cancer Institute
2015-2024
Division of Cancer Epidemiology and Genetics
2013-2024
Johns Hopkins Medicine
2008-2024
Sidney Kimmel Comprehensive Cancer Center
2018-2024
University of Baltimore
2016-2024
National Institutes of Health
2014-2023
University of Minnesota
2004-2023
Cancer Genetics (United States)
2002-2023
Minnesota Department of Natural Resources
2022-2023
Breast cancer (BC) risk prediction allows systematic identification of individuals at highest and lowest risk. We extend the Ovarian Analysis Disease Incidence Carrier Estimation Algorithm (BOADICEA) model to incorporate effects polygenic scores (PRS) other factors (RFs).
An improved model for risk stratification can be useful guiding public health strategies of breast cancer prevention.
Recent discoveries of hundreds common susceptibility SNPs from genome-wide association studies provide a unique opportunity to examine population genetic models for complex traits. In this report, we investigate distributions various parameters and their interrelationships using estimates allele frequencies effect-size about 400 across spectrum qualitative quantitative We calibrate our analysis by statistical power detection account overrepresentation variants with larger effect sizes in...