ArticleJDS communications2025
Using single-step genome-wide association analyses to compare predicted negative energy balance and a novel energy deficiency score in early-lactation Holstein cows.
Article in JDS communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to compare the genetic architectures of logit-transformed predicted negative energy balance (LPNEB) and a novel logit-transformed energy deficiency score (LEDS) as 2 mid-infrared-derived proxies of negative energy balance in early-lactation dairy cows. A total of 30,634 records from 25,287 first-parity Holstein cows across 508 herds distributed in Walloon region of Belgium were analyzed. Genotypic data of 566,170 SNPs were available for 3,757 animals. Single-step GWAS, combined with a 50-SNP sliding window approach, was employed to explore the genetic architectures of LPNEB and LEDS. The top 10 genomic regions for LPNEB and LEDS were identified across multiple chromosomes, with 3 shared regions (BTA 1, 5, and 16). Despite these overlaps, each trait exhibited unique loci, supporting distinct genetic architectures. Positional candidate gene analyses identified 17 genes for LPNEB and 10 for LEDS, with 6 being in common. Gene Ontology enrichment analyses were then performed to explore their biological functions, although LPNEB was primarily associated with energy metabolism regulation and metabolic adaptation, whereas LEDS integrated neuronal signaling into energy homeostasis. The QTL enrichment highlighted significant associations with fertility and SCS, reinforcing a genetic basis for energy balance. These findings improve our understanding of the genetic background of LPNEB and LEDS, thereby providing new insights into the mechanisms underlying energy balance in dairy cattle.
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