scispace - formally typeset
Y

Yon-Dschun Ko

Researcher at National Institutes of Health

Publications -  91
Citations -  7455

Yon-Dschun Ko is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 32, co-authored 90 publications receiving 6240 citations. Previous affiliations of Yon-Dschun Ko include University of Cologne & Ruhr University Bochum.

Papers
More filters
Journal ArticleDOI

Genome-wide association study identifies novel breast cancer susceptibility loci

Douglas F. Easton, +109 more
- 28 Jun 2007 - 
TL;DR: To identify further susceptibility alleles, a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls was conducted, followed by a third stage in which 30 single nucleotide polymorphisms were tested for confirmation.
Journal ArticleDOI

MicroRNA related polymorphisms and breast cancer risk

Sofia Khan, +161 more
- 12 Nov 2014 - 
TL;DR: Five miRNA binding site SNPs associated significantly with breast cancer risk are located in the 3′ UTR of CASP8, HDDC3, DROSHA, MUSTN1, and MYCL1, respectively, which belongs to miRNA machinery genes and has a central role in initial miRNA processing.
Journal ArticleDOI

Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

Nasim Mavaddat, +310 more
TL;DR: This PRS, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset is developed and empirically validated and is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.
Journal ArticleDOI

A genomics-based classification of human lung tumors

Danila Seidel, +118 more
TL;DR: Support is provided for broad implementation of genome-based diagnosis of lung cancer by demonstrating the correlation between lung tumor subtype and its predominant mutations, and the benefit of genetic testing and targeted therapy in these patients.
Journal ArticleDOI

Breast Cancer Risk Genes - Association Analysis in More than 113,000 Women

Leila Dorling, +196 more
TL;DR: The results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimates of the risks associated with protein-truncating variants, to guide genetic counseling.