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Updated: Feb 1, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Genome-wide association study for longevity in the Holstein cattle population
R Steri1, B Moioli1, G Catillo1
11Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA),via Salaria 31,00015 Monterotondo,Italy.
Researchers identified key genes linked to dairy cow longevity by analyzing production and health data from 946 cows. This genetic insight can guide breeding programs to enhance cow lifespan and farm profitability.
Area of Science:
- Animal Genetics
- Dairy Science
- Quantitative Genetics
Background:
- Dairy cow longevity is crucial for profitability.
- A decline in average culling age has been observed in recent decades.
- Identifying genetic factors influencing longevity is essential for improving dairy herd management.
Purpose of the Study:
- To identify genes associated with dairy cow longevity.
- To analyze the genetic basis of traits such as days in production, days in herd, and number of calvings.
- To detect quantitative trait loci (QTL) influencing longevity.
Main Methods:
- Genome-wide association analysis (GWAS) was conducted on 946 genotyped dairy cows.
- Data included dates of birth, calving, culling, and production yields.
- The GenABEL package in R was utilized for the analysis.
Main Results:
- Five genome-wide significant single nucleotide polymorphisms (SNPs) associated with all three longevity traits were identified.
- Two suggestive QTL regions on chromosomes 16 and 30 were detected.
- Genes within these QTL regions are involved in fertility, reproductive health, heat stress, and welfare.
Conclusions:
- The study identified significant genetic markers associated with dairy cow longevity.
- These findings provide a basis for developing improved breeding strategies.
- Enhancing longevity through genetic selection can improve dairy cow welfare and farm economic viability.
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