GWAS findings improved genomic prediction accuracy of lipid profile traits: Tehran Cardiometabolic Genetic Study
Abstract In recent decades, ongoing GWAS findings discovered novel therapeutic modifications such as whole-genome risk prediction in particular. Here, we proposed a method based on integrating the traditional genomic best linear unbiased prediction (gBLUP) approach with GWAS information to boost gen...
Enregistré dans:
| Auteurs principaux: | Mahdi Akbarzadeh, Saeid Rasekhi Dehkordi, Mahmoud Amiri Roudbar, Mehdi Sargolzaei, Kamran Guity, Bahareh Sedaghati-khayat, Parisa Riahi, Fereidoun Azizi, Maryam S. Daneshpour |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/3beb39ab856f44bea8e96c98fd97889a |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Genome-wide association study on blood pressure traits in the Iranian population suggests ZBED9 as a new locus for hypertension
par: Goodarz Kolifarhood, et autres
Publié: (2021) -
SARS-CoV-2 infection susceptibility influenced by ACE2 genetic polymorphisms: insights from Tehran Cardio-Metabolic Genetic Study
par: Hossein Lanjanian, et autres
Publié: (2021) -
Kernel machine SNP set analysis finds the association of BUD13, ZPR1, and APOA5 variants with metabolic syndrome in Tehran Cardio-metabolic Genetics Study
par: Sajedeh Masjoudi, et autres
Publié: (2021) -
Some dietary factors can modulate the effect of the zinc transporters 8 polymorphism on the risk of metabolic syndrome
par: Firoozeh Hosseini-Esfahani, et autres
Publié: (2017) -
Predictive value of women’s weight trajectories in determining familial cardiovascular disorders: a family-based longitudinal study
par: Parisa Naseri, et autres
Publié: (2021)