Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index
With the success of the genome-wide association studies (GWASs), many candidate loci for complex human diseases have been reported in the GWAS catalog. Recently, many disease prediction models based on penalized regression or statistical learning methods were proposed using candidate causal variants...
Saved in:
Main Authors: | Sunghwan Bae, Sungkyoung Choi, Sung Min Kim, Taesung Park |
---|---|
Format: | Article |
Language: | English |
Published: |
BioMed Central
2016-12-01
|
Series: | Genomics & Informatics |
Subjects: | |
Online Access: | http://genominfo.org/upload/pdf/gni-14-149.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Risk Prediction Using Genome-Wide Association Studies on Type 2 Diabetes
by: Sungkyoung Choi, et al.
Published: (2016-12-01) -
Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes
by: Chanwoo Park, et al.
Published: (2019-12-01) -
HisCoM-GGI: Software for Hierarchical Structural Component Analysis of Gene-Gene Interactions
by: Sungkyoung Choi, et al.
Published: (2018-12-01) -
Exploring body mass index and gender-based self-esteem differences in Saudi Arabia
by: Maaidah Algamdi
Published: (2025-02-01) -
Genetic interaction between oxidative stress and body mass index in a Spanish population
by: Francisco Lara-Hernández, et al.
Published: (2025-03-01)