“SNP Snappy”: A Strategy for Fast Genome-Wide Association Studies Fitting a Full Mixed Model | Zendy

Karin Meyer | Zendy; Bruce Tier | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

“SNP Snappy”: A Strategy for Fast Genome-Wide Association Studies Fitting a Full Mixed Model

Author(s) -

Karin Meyer,

Bruce Tier

Publication year - 2011

Publication title -

genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.792

H-Index - 246

eISSN - 1943-2631

pISSN - 0016-6731

DOI - 10.1534/genetics.111.134841

Subject(s) - snp , biology , computational biology , association (psychology) , genetics , genome , genetic association , genome wide association study , constant (computer programming) , mixed model , computer science , single nucleotide polymorphism , statistics , mathematics , genotype , gene , philosophy , epistemology , programming language

A strategy to reduce computational demands of genome-wide association studies fitting a mixed model is presented. Improvements are achieved by utilizing a large proportion of calculations that remain constant across the multiple analyses for individual markers involved, with estimates obtained without inverting large matrices.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research