Pervasive Modulation of Obesity Risk by the Environment and Genomic Background
The prevalence of the so-called diseases of affluence, such as type 2 diabetes or hypertension, has increased dramatically in the last two generations. Although genome-wide association studies (GWAS) have discovered hundreds of genes involved in disease etiology, the sudden increase in disease incid...
Main Authors: | Sini Nagpal, Greg Gibson, Urko M. Marigorta |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-08-01
|
Series: | Genes |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-4425/9/8/411 |
Similar Items
-
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity
by: Casimiro A. Curbelo Montanez, et al.
Published: (2020-01-01) -
An Improved Genome-Wide Polygenic Score Model for Predicting the Risk of Type 2 Diabetes
by: Wei Liu, et al.
Published: (2021-02-01) -
Polygenic Risk Scores Shed Light on the Relationship between Schizophrenia and Cognitive Functioning: Review and Meta-Analysis
by: Jasmina Mallet, et al.
Published: (2020-01-01) -
A Genome-Wide Association Study Finds Genetic Associations with Broadly-Defined Headache in UK Biobank (N = 223,773)
by: Weihua Meng, et al.
Published: (2018-02-01) -
Strong epistatic and additive effects of linked candidate SNPs for Drosophila pigmentation have implications for analysis of genome-wide association studies results
by: Jean-Michel Gibert, et al.
Published: (2017-07-01)