ArticleScientific reports2019
Genome-wide association studies for 30 haematological and blood clinical-biochemical traits in Large White pigs reveal genomic regions affecting intermediate phenotypes.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.
- Comparison of two multi-trait association testing methods and sequence-based fine mapping of six additive QTL in Swiss Large White pigs.BMC genomics · 2023Pooled it
- Modest contribution of metabolomic data to genomic prediction of breeding values for feed conversion ratio in pigs.Genetics, selection, evolution : GSE · 2026Article
- Genetic analysis of High Immune Response technology and relationships with disease resilience in pigs.Journal of animal science · 2026Article
- A genome-wide investigation of insidious uveitis in Appaloosa horses.BMC genomics · 2025Article
- Genetic factors for hematological traits in pigs.Animal genetics · 2025Review
- Merging metabolomics and genomics provides a catalog of genetic factors that influence molecular phenotypes in pigs linking relevant metabolic pathways.Genetics, selection, evolution : GSE · 2025Article
- Discover QTLs for the level of blood components in Shaoxing duck using GWAS and haplotype sharing analysis.Animal biotechnology · 2024Article
- Article
- Copy number variants selected during pig domestication inferred from whole genome resequencing.Frontiers in veterinary science · 2024Article
- Investigation ofAnimals : an open access journal from MDPI · 2023Article
- Multivariate genome-wide associations for immune traits in two maternal pig lines.BMC genomics · 2023Article
- Comparison of blood gas parameters, ions, and glucose concentration in polish Holstein-Friesian Dairy cows at different milk production levels.Scientific reports · 2023Article
- Identification of transcriptional regulatory variants in pig duodenum, liver, and muscle tissues.GigaScience · 2022Article
- Genome-wide association study reveals the genetic determinism of serum biochemical indicators in ducks.BMC genomics · 2022Article
- Assessing Population Structure and Signatures of Selection in Wanbei Pigs Using Whole Genome Resequencing Data.Animals : an open access journal from MDPI · 2022Article
- Estimates of genomic heritability and genome-wide association studies for blood parameters in Akkaraman sheep.Scientific reports · 2022Article
- Comparison of the choice of animals for re-sequencing in two maternal pig lines.Genetics, selection, evolution : GSE · 2022Article
- Lost pigs of Angola: Whole genome sequencing reveals unique regions of selection with emphasis on metabolism and feed efficiency.Frontiers in genetics · 2022Article
- Leveraging host-genetics and gut microbiota to determine immunocompetence in pigs.Animal microbiome · 2021Article
- Genome-wide associations for immune traits in two maternal pig lines.BMC genomics · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Haematological and clinical-biochemical parameters are considered indicators of the physiological/health status of animals and might serve as intermediate phenotypes to link physiological aspects to production and disease resistance traits. The dissection of the genetic variability affecting these phenotypes might be useful to describe the resilience of the animals and to support the usefulness of the pig as animal model. Here, we analysed 15 haematological and 15 clinical-biochemical traits in 843 Italian Large White pigs, via three genome-wide association scan approaches (single-trait, multi-trait and Bayesian). We identified 52 quantitative trait loci (QTLs) associated with 29 out of 30 analysed blood parameters, with the most significant QTL identified on porcine chromosome 14 for basophil count. Some QTL regions harbour genes that may be the obvious candidates: QTLs for cholesterol parameters identified genes (ADCY8, APOB, ATG5, CDKAL1, PCSK5, PRL and SOX6) that are directly involved in cholesterol metabolism; other QTLs highlighted genes encoding the enzymes being measured [ALT (known also as GPT) and AST (known also as GOT)]. Moreover, the multivariate approach strengthened the association results for several candidate genes. The obtained results can contribute to define new measurable phenotypes that could be applied in breeding programs as proxies for more complex traits.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.