ArticlePloS one2015
Comparative Analyses of QTLs Influencing Obesity and Metabolic Phenotypes in Pigs and Humans.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Article
- Intermuscular adipose tissue in metabolic disease.Nature reviews. Endocrinology · 2023Review
- Fine Mapping of a Major Backfat QTL Reveals a Causal Regulatory Variant Affecting theFrontiers in genetics · 2022Article
- GenoTypeMapper: graphical genotyping on genetic and sequence-based maps.Plant methods · 2020Article
- Analysis of porcine body size variation using re-sequencing data of miniature and large pigs.BMC genomics · 2018Article
- Deregulation of obesity-relevant genes is associated with progression in BMI and the amount of adipose tissue in pigs.Molecular genetics and genomics : MGG · 2018Article
- Haplotypes on pig chromosome 3 distinguish metabolically healthy from unhealthy obese individuals.PloS one · 2017Article
- A GWA study reveals genetic loci for body conformation traits in Chinese Laiwu pigs and its implications for human BMI.Mammalian genome : official journal of the International Mammalian Genome Society · 2016Article
- Hepatic expression of inflammatory genes and microRNAs in pigs with high "cholesteryl ester transfer protein" (CETP) activity.Mammalian genome : official journal of the International Mammalian Genome Society · 2016Article
- Multi-omic data integration and analysis using systems genomics approaches: methods and applications in animal production, health and welfare.Genetics, selection, evolution : GSE · 2016Review
- Joint Profiling of miRNAs and mRNAs Reveals miRNA Mediated Gene Regulation in the Göttingen Minipig Obesity Model.PloS one · 2016Article
- Expression study of GLUT4 translocation-related genes in a porcine pre-diabetic model.Mammalian genome : official journal of the International Mammalian Genome Society · 2015Article
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19 authors.
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Abstract
The pig is a well-known animal model used to investigate genetic and mechanistic aspects of human disease biology. They are particularly useful in the context of obesity and metabolic diseases because other widely used models (e.g. mice) do not completely recapitulate key pathophysiological features associated with these diseases in humans. Therefore, we established a F2 pig resource population (n = 564) designed to elucidate the genetics underlying obesity and metabolic phenotypes. Segregation of obesity traits was ensured by using breeds highly divergent with respect to obesity traits in the parental generation. Several obesity and metabolic phenotypes were recorded (n = 35) from birth to slaughter (242 ± 48 days), including body composition determined at about two months of age (63 ± 10 days) via dual-energy x-ray absorptiometry (DXA) scanning. All pigs were genotyped using Illumina Porcine 60k SNP Beadchip and a combined linkage disequilibrium-linkage analysis was used to identify genome-wide significant associations for collected phenotypes. We identified 229 QTLs which associated with adiposity- and metabolic phenotypes at genome-wide significant levels. Subsequently comparative analyses were performed to identify the extent of overlap between previously identified QTLs in both humans and pigs. The combined analysis of a large number of obesity phenotypes has provided insight in the genetic architecture of the molecular mechanisms underlying these traits indicating that QTLs underlying similar phenotypes are clustered in the genome. Our analyses have further confirmed that genetic heterogeneity is an inherent characteristic of obesity traits most likely caused by segregation or fixation of different variants of the individual components belonging to cellular pathways in different populations. Several important genes previously associated to obesity in human studies, along with novel genes were identified. Altogether, this study provides novel insight that may further the current understanding of the molecular mechanisms underlying human obesity.
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