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Updated: May 13, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Sequence-based genome-wide association study and fine-mapping in German Holstein reveal new quantitative trait loci
A M Križanac1, C Reimer2, J Heise3
1Department of Animal Sciences, University of Göttingen, 37077 Göttingen, Germany; Center for Integrated Breeding Research, Department of Animal Sciences, University of Göttingen, 37075 Göttingen, Germany.
Abstract:
We conducted a large GWAS of 11 health traits belonging to 3 trait complexes: (1) metabolic diseases, (2) infectious and noninfectious feet and claw disorders, and (3) udder-related traits in 100,809 to 180,217 German Holstein cows to investigate the genetic architecture and underlying biological mechanisms behind these complex traits. The GWAS identified 12,306 genome-wide significant variants across 10 traits. The new association signals were inspected with a Bayesian fine-mapping approach, leading to the discovery of 159 novel variants with high potential for causality. Variants were in known and novel regions for the traits studied, leading to a list of 53 novel candidate genes. Our study represents the largest whole-genome sequence GWAS for health traits so far, hence ensuring the power to detect meaningful variants, especially when enhanced with fine-mapping.
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