Additional file 2 of Merging metabolomics and genomics provides a catalog of genetic factors that influence molecular phenotypes in pigs linking relevant metabolic pathways

Additional file 2: Table S4. List of metabolites in the kynurenine pathway (KP) analyzed in the pigs included in the nutrigenetic study and statistics of metabolites stratified by genotype and metabolic condition at the basal and after the tryptophan (Trp) supplementation. Description: Metabolomic data are obtained from the Bevital platform on plasma of Large White × Landrace piglets. Table S5. Systems of ordinary differential equations (ODE) used to model the kynurenine pathway. Description: Metabolites are those reported in Additional file 2: Table S4. Table S6. Information used in the kinetic modeling of the kynurenine pathway. Table S7. Human kinetic constants. Table S13. Distribution of the predicted consequences for variants identified from whole-genome resequencing of Large White, Duroc and Landrace pigs. Table S15. Variants altering the protein coding sequence of the KMO gene. Description: Variant constituting two major haplotypes are those and forming two major haplotypes. Table S16. Allele frequency of the KMO polymorphisms identified in several pig breeds and in wild boars. Table S17. Partial Correlation Coefficients (PCC) in Large White pigs before and after the inclusion of the genetic effect from the mQTL (genotype-corrected PCC) in the GGM construction. Description: Underlined, the PPC >0.3.

Institutions

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28551679
Primary Topic
Construction Management and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Additional file 2 of Merging metabolomics and genomics provides a catalog of genetic factors that influence molecular phenotypes in pigs linking relevant metabolic pathways

Figshare
Construction Management and Sustainability
article

Additional file 2 of Merging metabolomics and genomics provides a catalog of genetic factors that influence molecular phenotypes in pigs linking relevant metabolic pathways

article en

Abstract

Additional file 2: Table S4. List of metabolites in the kynurenine pathway (KP) analyzed in the pigs included in the nutrigenetic study and statistics of metabolites stratified by genotype and metabolic condition at the basal and after the tryptophan (Trp) supplementation. Description: Metabolomic data are obtained from the Bevital platform on plasma of Large White × Landrace piglets. Table S5. Systems of ordinary differential equations (ODE) used to model the kynurenine pathway. Description: Metabolites are those reported in Additional file 2: Table S4. Table S6. Information used in the kinetic modeling of the kynurenine pathway. Table S7. Human kinetic constants. Table S13. Distribution of the predicted consequences for variants identified from whole-genome resequencing of Large White, Duroc and Landrace pigs. Table S15. Variants altering the protein coding sequence of the KMO gene. Description: Variant constituting two major haplotypes are those and forming two major haplotypes. Table S16. Allele frequency of the KMO polymorphisms identified in several pig breeds and in wild boars. Table S17. Partial Correlation Coefficients (PCC) in Large White pigs before and after the inclusion of the genetic effect from the mQTL (genotype-corrected PCC) in the GGM construction. Description: Underlined, the PPC >0.3.

Figshare
University of Bologna (IT)
Openalex Percentile: Top 52%
Construction Management and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.