SYSGEN OF OBESITY · Systems Genetics of Obesity and Related Metabolic Traits in Pig Model to Improve Human Health
7РП — „Хора“ (Действия „Мария Кюри“)
- Период
- 2011-09-01 → 2015-08-31
- Финансиране от ЕС
- 100 000 €
- Участници
- 1
- Схема
- MC-CIG
Линиите свързват координатора с партньорите.
Накратко на български
Генетиката на затлъстяването и метаболитните особености се изучават чрез сравнение между прасета с различна предразположеност към напълняване, като се следят показатели като индекс на масата на тялото и нивата на глюкоза. Това помага за разработването на нови лекарствени терапии за хора с диабет и затлъстяване.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Systems Genetics of Obesity and Related Metabolic Traits in Pig Model to Improve Human Health
Human obesity, metabolic syndrome and diabetes (OMSD) is reaching epidemic proportions in developed countries. Unraveling the genetics and systems biology of this syndrome promises new interventions including drug therapies to treat obese individuals and those predisposed to overeating. The SYSGEN OF OBESITY (Systems genetics of obesity and related metabolic traits in pig model to improve human health) project (http://www.qsg.dk/ and www.biochild.ku.dk) has worked on specially bred pigs to investigate the genomics and systems biology of obesity and related diseases. Three generations of crossing Göttingen minipigs genetically predisposed to obesity with production pigs that are bred to be lean produced around 600 animals for the study. The researchers collected data on 50 different OMSD phenotypes or traits (such as body mass index, abdominal obesity, internal and external fatmass using DXA scan, glucose and cholesterol) on around 600 pigs at the University of Copenhagen’s research farm in Denmark. Each one of these pigs was genetically characterized by using genome-wide DNA arrays that score each pig at over 60000 locations on their DNA (single nucleotide polymorphism or SNP genetic markers). A biobank has stored over 24 different types of tissue samples from pigs and blood for RNA and DNA extraction from all animals. Researchers first applied advanced (systems) genetics and integrative biology methods to associate pigs 60000 DNA or genetic markers with OMSD phenotypes to map the genetic factors on the pig genome and catalog gene expression profiles of over 22000 genes in fat tissues of obese and lean pigs. Afterwards, they did translation of their findings from pigs to human using translational or comparative genomics. Results show substantial genetic variation in obesity. Heritability of OMSD syndrome is in the range of 0.22 to 0.81 which means that it runs in families and parents will pass on their genes causing this syndrome to their progeny (sons and daughters) who will then pass on their genes to their own descendants and so on. Therefore care must be taken to offset the actions of genes for instance by life style interventions (exercise and diets). Through family-based and population-based quantitative genetic analyses, researchers identified 229 QTLs (Quantitative Trait Loci or genomic regions) which associated with adiposity- and metabolic phenotypes at genome-wide significant levels. Some of these regions have been scrutinized. Several candidate genes in 18 of these regions influence body mass index and fatness traits. Researchers compared pig genes / QTLs for some traits with those of humans and indicated genes that potentially can cause this syndrome in humans. Furthermore, using next generation sequencing (NGS) methods, they sequenced pig’s RNA and identified differentially expressed and co-expressed genes in fat tissues representing lean and obese individuals. This led to identification of genes and pathways of importance to the development of obesity and other syndrome. Researchers have identified many genes whose expression levels in fat tissue or blood could be used as biomarkers to predict obesity. Researchers also integrated these gene expression (transcriptomic) data of over 22000 genes with 60000 DNA marker or genomic data to find real culprit or causal genes and investigated the mechanisms involved in obesity and related metabolic disorders using integrated systems genetics approach. So far, 10 peer-reviewed international journals have featured research results on heritabilities and genetic correlations for all obesity related traits, genomic regions harboring potential genes causing obesity and related metabolic diseases in pigs and humans, genetic and gene-gene interaction networks, genome-wide gene expression differences or similarities of obese and lean individuals and transcriptional regulation of this syndrome or disease. In a parallel study researchers also found out that there are real genetic differences in pigs that eat normal versus pigs that overeat; overeating pigs have implications for fatness and developing OMSD. Researchers found that eating behavior is heritable 0.17 to 0.25 (meaning this behavior also runs in families) and there are key genes that may cause this binge eating or over-eating condition in humans (shown via comparative genomics methods). Extending these results could identify genes and highly predictive biomarkers for humans with OMSD by comparing pig-human systems biology and genomics. Combination with metabolic pathway profiling may reveal complex mechanisms that give rise to individual differences in development of OMSD. A personalized approach to medicine and or nutrition could help combat this fast-growing global epidemic. This project's research on human overeating was published in PLoS One in 2013 and was then covered by major newspapers around the world. The original article is: http://news.ku.dk/all_news/2013/2013.10/why-humans-pig-out/ (Why Do Humans Pig Out). The projects key findings on genes causing obesity was published in 2014 (BMC Medical Genomics: http://www.biomedcentral.com/1755-8794/7/57) and in 2015 (PLoS One: http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0137356 and Genome Medicine: http://www.genomemedicine.com/content/7/1/105). Contact: Professor Haja Kadarmideen Group Leader & Consortium Director Animal Breeding, Quantitative Genetics & Systems Biology (AQS) Group Department of Large Animal Sciences (IPH) Faculty of Health and Medical Sciences University of Copenhagen Grønnegårdsvej 7 1870 Frederiksberg C DIR: +45 35333577 ; MOB: +45 23839890 Email: hajak@sund.ku.dk Web: www.qsg.dk ; www.biochild.ku.dk ; www.gift.ku.dk
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
The SysGen of Obesity project aims to use the pig as an animal model to unravel genes affecting human obesity, metabolic syndrome and diabetes (OMSD) traits and to catalogue their functional and molecular interactions and biological pathways. It uses state-of-the-art technologies and analytical approaches. The animal model uses a pig population of over 500 third generation progeny derived from crossing very divergent parental breeds (lean and fatty). It thus provides a very powerful design to map genes affecting OMSD. The resource population will be phenotyped for many traits including blood profiles known to be relevant to OMSD. Genotyping will be based on the Porcine 60k Illumina SNPchip. Gene or quantitative trait locus (QTL) mapping and genome-wide association studies (GWAS) will be conducted to detect genes and variants affecting OMSD traits. These genes will subsequently be validated for biological relevance using systems genetics approaches. They will also be screened for concordance with human QTL-GWAS results by comparative genomics. The most significant genes from the above steps could harbour relevant causal genes/mutations and hence will be selected for targeted resequencing and further analyses. This animal model is also expected to find 'novel' genes and pathways that have not been identified previously in human obesity. Systems biology experiment is planned using a ‘BioBank’ of relevant tissues and RNA samples from this resource population. The ultimate impact will be in the form of delivery of potential causal mutations, biological pathways, genetic- and bio-markers and new drug targets to improve human health. Hence our project will enhance EU excellence in Genetics and Systems Biology of OMSD and strengthen EU bio-medical industry. This grant will give an excellent opportunity for the researcher to conduct this high profile research thereby integrating him in EU scientific community and will significantly enhance his long-term career prospects
Оригинален текст от CORDIS (на английски).
Участници
- KOBENHAVNS UNIVERSITET · KOBENHAVNКоординаторДания
Връзки
Данни: CORDIS, © Европейски съюз
