Minsun Song
A5102721211- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Cancer-related molecular mechanisms research
- Bioinformatics and Genomic Networks
- Lung Cancer Treatments and Mutations
- RNA modifications and cancer
- Gene expression and cancer classification
- Global Cancer Incidence and Screening
- Endometrial and Cervical Cancer Treatments
- Genomic variations and chromosomal abnormalities
- Epigenetics and DNA Methylation
- Glutathione Transferases and Polymorphisms
- Cancer-related Molecular Pathways
- Cancer, Lipids, and Metabolism
- Stroke Rehabilitation and Recovery
- Air Quality and Health Impacts
- Metabolism, Diabetes, and Cancer
- Energy and Environment Impacts
- Pancreatic function and diabetes
- Folate and B Vitamins Research
- Prenatal Screening and Diagnostics
- Marine and Coastal Research
- Nutrition, Genetics, and Disease
- Diverse Approaches in Healthcare and Education Studies
Sookmyung Women's University
2016-2024
Shandong First Medical University
2024
Shandong Tumor Hospital
2024
National Cancer Institute
2015-2020
Division of Cancer Epidemiology and Genetics
2015-2019
National Institutes of Health
2015-2018
University of Nevada, Reno
2016
Princeton University
2014-2015
Institute for Integrative and Experimental Genomics
2015
University of Chicago
2000-2009
Polygenic risk scores (PRS) for breast cancer can be used to stratify the population into groups at substantially different levels of risk. Combining PRS and environmental factors will improve prediction; however, integrating prediction models requires evaluation their joint association with known factors. Analyses were based on data from 20 studies; datasets analysed ranged 3453 23 104 invasive cases similar numbers controls, depending factor. We evaluated associations a 77-single...
To evaluate associations by EGFR mutation status for lung adenocarcinoma risk among never-smoking Asian women, we conducted a meta-analysis of 11 loci previously identified in genome-wide association studies (GWAS). Genotyping an additional 10,780 cases and 10,938 controls from Asia confirmed with eight known single nucleotide polymorphisms (SNPs). Two new signals were observed at significance (P < 5 × 10-8), namely, rs7216064 (17q24.3, BPTF), overall risk, rs3817963 (6p21.3, BTNL2) which is...
Modern population genetics studies typically involve genome-wide genotyping of individuals from a diverse network ancestries. An important problem is how to formulate and estimate probabilistic models observed genotypes that account for complex structure. The most prominent work on this has focused estimating model admixture proportions ancestral populations each individual. Here, we instead focus modeling variation the without requiring higher-level interpretation.We two general models,...
Abstract In the setting of genome‐wide association studies, we propose a method for assigning measure significance to pre‐defined sets markers in genome. The can be genes, conserved regions, or groups genes such as pathways. Using proposed methods and algorithms, evidence between particular functional unit disease status obtained not just by presence strong signal from SNP within it, but also combination several simultaneous weaker signals that are strongly correlated. This approach has...
Purpose Discovery of models predicting the exact prognosis epithelial ovarian cancer (EOC) is necessary as first step implementation individualized treatment. This study aimed to develop nomograms treatment response and in EOC. Materials Methods We comprehensively reviewed medical records 866 patients diagnosed with treated for EOC at two tertiary institutional hospitals between 2007 2016. Patients' clinico-pathologic characteristics, details primary treatment, intra-operative surgical...
Abstract Joint modelling of genetic and environmental risk factors can provide important information to predict the type 2 diabetes (T2D). Therefore, T2D, we constructed a polygenic score (PRS) using genotype data one Korean cohort, KARE (745 cases 2549 controls), genome-wide association study summary statistics Biobank Japan. We evaluated performance PRS in an independent HEXA (5684 35,703 controls). Individuals with T2D had significantly higher mean than controls (0.492 vs. − 0.078, p...
We previously identified 10 lung adenocarcinoma susceptibility loci in a genome-wide association study (GWAS) conducted the Female Lung Cancer Consortium Asia (FLCCA), largest genomic of cancer among never-smoking women to date. Furthermore, household coal use for cooking and heating has been linked Asia, especially Xuanwei, China. investigated potential interaction between genetic FLCCA. analyzed GWAS-data from Taiwan, Shanghai, Shenyang (1472 cases; 1497 controls), as well separate Xuanwei...
Abstract There is a growing recognition that interactions (gene‐gene and gene‐environment) can play an important role in common disease etiology. The development of cost‐effective genotyping technologies has made genome‐wide association studies the preferred tool for searching loci affecting risk. These are characterized by large number investigated SNPs, efficient statistical methods even more than classical done with small markers. In this article we propose novel gene‐gene interaction...
Genome-wide association studies (GWAS) are now routinely imputed for untyped single nucleotide polymorphisms (SNPs) based on various powerful statistical algorithms imputation trained reference datasets. The use of predicted allele counts SNPs as the dosage variable is known to produce valid score test genetic association. In this paper, we investigate how best handle in modern complex tests associations incorporating gene-environment interactions. We focus case-control where inference an...
Polygenic risk scores (PRSs) are promising for stratification but have mainly been developed in European populations. This study single- and multi-ancestry PRSs lung adenocarcinoma (LUAD) East Asian (EAS) never-smokers using genome-wide association summary statistics from EAS (8,002 cases; 20,782 controls) (2,058 5,575 A PRS, CT-SLEB, was strongly associated with LUAD (odds ratio=1.71, 95% confidence interval (CI):1.61,1.82), an area under the receiver operating curve value of 0.640 (95%...
Background: The relationship between metformin intake and prostate cancer incidence remains unclear. Therefore, we examined the correlation use.Methods: subjects were diabetes patients aged ≥50 years who had been diagnosed with undergone surgery at Seoul St. Mary's Hospital. Groups taking (MET(+) group) not (MET(–) divided compared.Results: mean preoperative prostate-specific antigen (PSA) levels in MET(–) MET(+) groups 10.7±11.9 8.0±5.6 ng/mL, respectively, no statistically significant...
We propose and study structured time-dependent inverse regression (STIR), a novel sufficient dimension reduction model, to analyze longitudinally measured, correlated biomarkers in relation an outcome. The time structure is accommodated model for the markers that can be applied both equally unequally spaced points each sample. also naturally accommodates retrospectively sampled markers, is, measured case-control studies. estimate corresponding linear combinations of reduction, using least...
We present a new statistical test of association between trait and genetic markers, which we theoretically practically prove to be robust arbitrarily complex population structure. The involves set parameters that can directly estimated from large-scale genotyping data, such as measured in genome-wide studies (GWAS). also derive methodologies, called genotype-conditional (GCAT), shown provide accurate tests populations with structures, manifested both the environmental contributions trait....
Abstract Background Genome-wide association studies (GWAS) are now routinely imputed for untyped SNPs based on various powerful statistical algorithms imputation trained reference datasets. The use of predicted allele count as the dosage variable is known to produce valid score test genetic association. Methods In this paper, we investigate how best handle in modern complex tests incorporating gene-environment interactions. We focus case-control where inference an underlying logistic...
Abstract Joint modelling of genetic and environmental risk factors can provide important information to predict the type 2 diabetes (T2D). Therefore, T2D, we constructed a polygenic score (PRS) using genotype data one Korean cohort, KARE (745 cases 2549 controls), genome-wide association study summary statistics Biobank Japan. We evaluated performance PRS in an independent HEXA (5684 35703 controls). Individuals with T2D had significantly higher mean than controls (0.478 vs. -0.076, p ≈ 0)....