scispace - formally typeset
L

Lin H-Y.

Researcher at LSU Health Sciences Center New Orleans

Publications -  6
Citations -  491

Lin H-Y. is an academic researcher from LSU Health Sciences Center New Orleans. The author has contributed to research in topics: Genome-wide association study & Hazard ratio. The author has an hindex of 5, co-authored 6 publications receiving 460 citations. Previous affiliations of Lin H-Y. include Louisiana State University & University of South Florida.

Papers
More filters
Journal ArticleDOI

Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

Zsofia Kote-Jarai, +144 more
- 01 Aug 2011 - 
TL;DR: The results of stage 3 are reported, in which 1,536 SNPs are evaluated in 4,574 individuals with prostate cancer (cases) and 4,164 controls and a SNP in TERT more strongly associated with PrCa than that previously reported is identified.
Journal ArticleDOI

A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease

Ali Amin Al Olama, +157 more
TL;DR: In this article, the authors conducted a meta-analysis of four GWAS including 5953 cases of aggressive prostate cancer and 11 463 controls (men without PrCa) and computed association tests for approximately 2.6 million SNPs and followed up the most significant SNPs by genotyping 49 121 samples through the international PRACTICAL and BPC3 consortia.
Journal ArticleDOI

Prediction of individual genetic risk to prostate cancer using a polygenic score.

Robert Szulkin, +68 more
- 01 Sep 2015 - 
TL;DR: Polygenic risk scores comprising established susceptibility variants have shown to be informative classifiers for several complex diseases including prostate cancer, but it is unknown if inclusion of genetic markers that have so far not been associated with prostate cancer risk at a genome‐wide significant level will improve disease prediction.
Journal ArticleDOI

The effect of sample size on polygenic hazard models for prostate cancer.

Roshan Karunamuni, +68 more
TL;DR: The effect of sample size on performance of polygenic hazard score (PHS) models in prostate cancer is determined and it is estimated that a study population of 20 thousand men is required to develop Discovery- SNP PHS models while 10 thousand men should be sufficient for Established-SNP models.
Journal ArticleDOI

Author Correction: Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci.

Fredrick R. Schumacher, +202 more
- 01 Feb 2019 - 
TL;DR: In the version of this article initially published, the name of author Manuela Gago-Dominguez was misspelled as ManuelA Gago Dominguez, but the error has been corrected.