O conhecimento da diversidade genética e da estrutura populacional das variedades mantidas em bancos de germoplasma é de fundamental importância para sua efetiva utilização em programas de melhoramento. O mapeamento por associação, também conhecido como mapeamento por desequilíbrio de ligação, é um dos principais métodos para relacionar genes e alelos às características de interesse, através da co-segregação de marcadores genéticos polimórficos com os genes envolvidos na variação das características em estudo. O Banco de Germoplasma de Arroz do Departamento de Genética da ESALQ contém 192 acessos japoneses que foram estudados com o objetivo de entender sua diversidade, estruturação genética e determinar a associação genômica de caracteres agronômicos relacionados a produção de grãos. A caracterização molecular foi conduzida através da tecnologia DArT-seq, que gerou dados de marcadores SNPs (single-nucleotide polymorphism) e silico DArTs. Em seguida, após a filtragem, 5.578 SNPs de alta qualidade foram utilizados para calcular as estimativas de diversidade no pacote hierfstat e a estrutura do painel de acessos através da análise discriminante de componentes principais (DAPC), que consiste em determinar existência de cluster em um grupo de genótipos em que não há informação a priori sobre existência de grupos. A diversidade genética nos acessos foi evidenciada pelo valor de heterozigosidade esperada (HS) (0,0279) e a estruturação foi evidenciada pela formação de três subgrupos. O mapeamento associativo foi realizado com o uso do pacote GAPIT, sendo considerados seis caracteres: número de dias para florescimento (NDF), estatura de planta (EP), comprimento da panícula (CP), peso de parcela (PP), massa de mil grãos (MMG) e CICLO, bem como 24.266 marcadores silico DArTs e 1.965 marcadores SNPs. Foram detectadas um total de 113 associações significativas genótipo-fenótipo (P<0,001) quando utilizado marcadores silico DArTs em todas as seis características analisadas e, um total de 21 associações significativas genótipo-fenótipo (P<0,001) quando utilizado marcadores SNPs para apenas quatro das seis características analisadas: EP, CICLO, MMG e PP. Considerando-se os 113 silico DArTs associados significativamente na análise, 90 foram localizados em regiões intergênicas e 23 foram localizados dentro de genes. Enquanto que, dos 21 SNPs significativos, 11 foram localizados em regiões intergênicas e 10 foram localizados dentro de genes. A informação gerada neste estudo foi útil para testar associações ao longo do genoma do arroz. O modelo linear misto (MLM) empregado no mapeamento associativo acredita-se ter conseguido controlar eficientemente os falsos positivos no mapeamento utilizando os marcadores SNPs. As informações geradas neste estudo servem de base para avaliações mais aprofundadas, utilizando o conjunto de marcadores significativos como ponto de partida para determinação dos genes mais importantes para a produtividade em arroz. / The knowledge of the genetic diversity and population structure of varieties maintained in germplasm banks is crucial for their effective use in breeding programs. Association mapping, also known as linkage disequilibrium mapping, is one of the main methods for relating genes and alleles to the characteristics of interest, through the co-segregation of polymorphic genetic markers with the genes involved in the variation of the characteristics under study. The Rice Germplasm Bank of the Department of Genetics of ESALQ contains 192 Japanese accessions that were studied with the purpose of understanding its diversity, genetic structuring and determining the genomic association of agronomic traits related to grain production. The molecular characterization was conducted by DArTseq technology, which generated data of SNPs (single-nucleotide polymorphism) markers and silico DArTs. Then, after filtering, 5,578 high-quality SNPs were used to calculate the diversity estimates in hierfstat package and the accession panel structure through discriminant analysis of principal components (DAPC), which consists of determining the cluster existence in a group of genotypes where there is no a priori information about the existence of groups. The genetic diversity in the accessions was evidenced by the expected heterozygosity value (HS) (0.0279) and the population structure was evidenced by the formation of three clusters. The association mapping was performed using the GAPIT package, considering six characters: number of days for flowering (NDF), plant height (EP), panicle length (CP), plot weight (PP), mass of thousand grains (MMG) and CYCLE, as well as 24.266 silico DArTs markers and 1.965 SNPs markers. We detected a total of 113 significant associations genotype-phenotype (P <0.001) when used silico DArTs markers in all six analyzed characteristics and a total of 21 significant associations genotype-phenotype (P<0.001) when used SNPs markers for only four of the six analyzed characteristics: EP, CYCLE, MMG and PP. Considering the 113 silico DArTs significantly associated in the analysis, 90 were located in intergenic regions and 23 were localized within genes. While of the 21 significant SNPs, 11 were located in intergenic regions and 10 were located within genes. The information generated in this study was useful for testing associations throughout the rice genome. The mixed linear model (MLM) used in association mapping is believed to have been able to efficiently control false positives in the mapping using the SNPs markers. The information generated in this study serves as a basis for further evaluation using the set of significant markers as a starting point for determining the most important genes for rice yield.

Un important dispositif de détection de QTL caprin laitier basé sur 2 254 chèvres génotypées sur puce SNP 50K et issues de 20 mâles d'IA séquencés a été mis en place. Des QTL avaient déjà été détectés pour de nombreux caractères laitiers ou de morphologie. Un certain nombre de caractères restait néanmoins à étudier ou à approfondir. Dans un premier temps, une analyse de type GWAS a été réalisée sur cinq caractères. Pour deux d'entre eux, les trayons surnuméraires et le débit de traite, nos résultats sont en faveur d'un déterminisme polygénique. Pour deux phénotypes de coloration indésirables en race Saanen et la présence de pampilles, une région du génome a été trouvée comme très significativement associée au phénotype (chromosomes 11, 13 et 10 respectivement). Le gène ASIP est un candidat fonctionnel et positionnel très prometteur pour le QTL du chromosome 13 qui agit sur la coloration rose des animaux Saanen. En revanche, malgré une analyse plus poussée des deux autres zones via l'analyse de séquences et des génotypages, aucune mutation causale candidate n'a pu être identifiée. Enfin, nous avons étudié deux mutations associées à des différences de taux butyreux qui avaient été précédemment identifiées dans le gène DGAT1 caprin. Après avoir produit in vitro les différentes versions de la protéine en système " baculovirus/cellules de lépidoptère ", l'activité enzymatique des différents variants a été testée sur le diglycéride DAG 10 :10. Nos résultats confirment l'effet délétère des mutations sur la production de triglycérides et signent ainsi la causalité de ces mutations. Ces travaux ont permis de mettre en évidence de nouvelles régions du génome impliquées dans le contrôle de caractères d'intérêt pour la filière et ont prouvé la causalité de deux mutations. L'ensemble de ces résultats pourra aider la filière à mieux gérer ces phénotypes dans le schéma. / A large daughter design based on 2 254 genotyped dairy goats genotyped on a 50K SNP chip and their 20 sequenced fathers was carried out for mapping traits of interest in French dairy goats and QTL have been detected for some dairy and morphologic traits. However, in-depth studies were needed and some unstudied traits remained. A GWAS analysis was performed on five different traits. For two of them: supernumerary teats and milk flow, results showed a polygenic determinism. For the three others: two undesired coat color in the Saanen breed and the presence of wattles, a genome region was very significantly associated with each of these phenotypes (chromosomes 11, 13 and 10 respectively). The ASIP gene is a strong functional and positional candidate for the QTL on chromosome 13 for the pink coat trait. Despite in-depth analyses for the two other regions using sequences data and genotyping, no candidate causal mutation has been identified. Finally, two mutations previously identified in the DGAT1 gene and statistically associated with differences of milk fat content have been investigated. After in vitro production of the different version of the protein by a baculovius system, the enzymatic activity was assessed on diglyceride DAG 10:10. The results attest the deleterious effect of these mutations on triglyceride production and prove the causality of the mutations. This work lead to the identification of new genome regions associated with traits of interest and will be useful for the breeding organization.

Dans un contexte de réduction des intrants agricoles, la création de variétés de blé qui utilisent l’azote de manière plus efficiente est aujourd’hui nécessaire. Cette thèse, issue d'un partenariat public-privé entre l'Institut National de la Recherche Agronomique et Biogemma, avait pour but d'apporter des outils nécessaires à la création de variétés répondant à cette exigence. Pour ce faire, nous avons analysé 225 variétés commerciales génotypées avec 24K SNP et testées dans huit combinaisons d’année, lieu et régime azoté. Nous avons montré que même si la sélection a amélioré l’efficience d’utilisation de l’azote en condition optimale et sub-optimale, ce progrès génétique doit être accéléré et mieux réparti entre les différents traits. Nous proposons pour cela de mixer sélection phénotypique et sélection assistée par marqueurs. Dans ce sens, nous avons développé une méthode pour définir les régions chromosomiques associées à nos 28 traits. Parmi les 333 régions identifiées, nous avons notamment localisé le gène NAM-A1 et avons pu caractériser ses variants naturels. Nous avons aussi montré que la sélection génomique pourrait être plus efficace si les SNP étaient présélectionnés en fonction de leurs significativités en génétique d’association multi-environnementale. Les réseaux d’interactions épistatiques furent aussi étudiés, mettant en évidence un sous-réseau particulièrement intéressant. Nos résultats et méthodes sont discutés au regard des stratégies d’amélioration variétale et de découverte de gènes. Des pistes de recherche complémentaires et des améliorations ont aussi été suggérées. / In a context of fertiliser reduction, breeding for enhanced nitrogen use efficiency in bread wheat is necessary. This PhD thesis resulting from private-public collaboration between the French National Institute for Agricultural Research and Biogemma aimed providing necessary tools. Analyses were conducted using a dataset of 225 commercial varieties genotyped with 24K SNP and tested in eight combinations of year, location, and nitrogen regimes. We showed that even if past selection increased nitrogen use efficiency at high and moderate nitrogen regimes, genetic progresses need to be accelerated and better balanced between traits. This could be achieved by mixing phenotypic and marker assisted selections. In this sense, we developed a method to define quantitative trait locus from genome-wide association study: 333 chromosomal regions involved in 28 NUE-related traits have been identified. The NAM-A1 gene was located in one of these regions and its natural variants were characterized. We also showed that genomic selection could be improved by pre-selecting SNP based on their significance in a multi-environmental genome-wide association study. Networks of epistasis interactions were also studied and an interesting sub-network was identified. Results and methods are discussed regarding breeding and gene discovery strategy. Further investigations and improvements are suggested.

This study was developed in order to explore chromosomal regions associated with carcass and meat traits in Nellore cattle breed, identifying metabolic and genetic pathways related to its characteristics expression, as well as generate additional phenotypes for future genome association studies, in order to fully describe parameters related to final product quality. Thereunto, 995 bulls were genotyped for more than 770,000 single nucleotide polymorphisms (SNPs), were evaluated for body weight at birth, weight gain at weaning and yearling, conformation, finishing precocity and muscling at weaning and yearling. These traits are correlated, therefore, genomic mapping method were applied in order to identify pleiotropic regions. Results highlighted previously described genomic regions associated to beef cattle weight gain and growth traits, particularly PLAG1 gene, sheltered by the most significantly associated marker region, which in other studies were associated to weight, height and sexual precocity in Nellore breed. To evaluate carcass and meat quality traits, 576 young bulls were evaluated for hot carcass weight, ribeye area, fat thickness, pH 24 hours after slaughter and color parameters (L*, a*, b*), for shearing force, dripping and cooking loss, evaluations were performed for different maturation times (7, 14 and 21 days). Animals were genotyped on two platforms, Illumina&reg; BovineHD BeadChip (HD) and Bovine GeneSeek&reg; Genomic Profiler &trade; HD Illumina Infinium&reg; (GGP). Animals genotyped at a lower density (GGP) were imputed to high density chip (HD). Shear force, dripping and cooking loss measures which relates to meat tenderness, were associated to cytoskeleton structure and proteolytic enzymes activity, pointing to serine/serpin enzyme complex as main candidates for regulate proteolysis and muscle fiber structure degradation. Were performed an evaluation of Longissimus thoracis et lumborum intramuscular fat content of 148 animals. It was approached by a human health perspective where samples received a classification regarding fatty acids effects on human organism (\"beneficial\", \"evil\" or \"neutral\"), as well as provided phenotypic information for future genome association studies. The identification of 42 fatty acids and 16 indexes, generated detailed information on these animals\' meat fat composition. Principal component analysis (PCA) results showed that large variation proportion between samples fat composition occurs due to expression differences among desaturase and elongase enzymes. Thus, it is expected that generated data, information and knowledge hereby, can assist animal breeding programs to improve Brazilian herds according meat chain interests. / O presente trabalho foi desenvolvido com o objetivo de explorar regiões cromossômicas associadas à características de carcaça e carne em bovinos da raça Nelore, explorar suas funções em vias metabólicas e gênicas relacionadas às manifestações dessas características, assim como gerar novos fenótipos para futuros estudos de associação genômica, com vistas a descrever, de forma completa, as características relacionadas à qualidade do produto final. Para isso, 995 animais machos não castrados, genotipados para mais de 770.000 marcadores de polimorfismos de nucleotídeo único (SNP), foram avaliados quanto ao peso corporal ao nascimento, ganho de peso à desmama e ao sobre ano, conformação, precocidade de terminação e musculosidade à desmama e ao sobre ano. Como estas características são correlacionadas, foram aplicadas metodologias de mapeamento genômico com o objetivo de identificar regiões pleiotrópicas. Os resultados destacaram regiões do genoma bovino que contêm genes descritos por influenciarem em características de crescimento e ganho de peso nestes animais, com destaque para o gene PLAG1, pertencente à região do marcador mais significativo associado aos fenótipos, anteriormente associado ao peso, altura e precocidade sexual em animais dessa raça. Para acessar atributos de qualidade de carcaça e carne, 576 machos não castrados foram avaliados quanto ao peso de carcaça quente, área de lombo, espessura de gordura subcutânea, pH após 24 horas do abate, cor (L*, a*, b*) e perdas de peso por exsudação e cozimento e força de cisalhamento em diferentes tempos de maturação (7, 14 e 21 dias). Os animais foram genotipados em duas plataformas, Illumina&reg; BovineHD BeadChip (HD) e GeneSeek&reg; Genomic Profiler Bovine HD&trade; Illumina Infinium&reg; (GGP), sendo os genótipos deste último imputados para o conjunto de maior densidade. As avaliações de perdas de peso por exsudação e cozimento e força de cisalhamento, utilizada para mensurar maciez, revelam a influencia da estrutura do citoesqueleto e da ação das enzimas proteolíticas, apontando o complexo enzimático serinas/serpinas como candidato na regulação do processo de proteólise e degradação da estrutura da fibra muscular. Foi realizada avaliação dos ácidos graxos no músculo Longissimus thoracis et lumborum de 148 animais com vistas à classificação das amostras quanto aos efeitos esperados no organismo humano (\"benéfico\", \"maléfico\" ou \"neutro\"), assim como prover informação fenotípica para futuros estudos de associação genômica. A identificação de 42 ácidos graxos e 16 índices gerou informação detalhada sobre a gordura presente na carne destes animais, sendo observado, por análise de componentes principais (PCA), que a maior variação entre a composição das amostras avaliadas parece ser em decorrência da diferença de expressão das enzimas elongases e dessaturases. Dessa forma, espera-se que os dados, informações e conhecimento gerados por este trabalho, possam auxiliar os programas de melhoramento genético animal a aprimorar o rebanho brasileiro segundo características de interesse da cadeia produtiva de carne.

Introduction: The continual increase of type 2 diabetes (T2D) prevalence is a global public health concern. The aetiology of T2D has not been fully elucidated and this is hampering the development of effective preventative and curative interventions to curb the T2D burden. Although much has been done to elucidate the environmental risk factors associated with T2D, little is known about the precise genetic risk factors that predispose people to it. There is limited knowledge about the common variants associated with T2D risk in the black South African population. However, evidence of shared common variants associated with T2D among people of different ethnicities has been documented. Nonetheless, the majority of the common variants that have been reported to be associated with T2D in other ethnicities are still yet to be evaluated in the black South African population. Objectives: The aim of this study was to evaluate the association of previously reported common genetic variants with T2D susceptibility, as indicated by impaired glucose tolerance (IGT), in a black South African population of Tswana descent. Methods: This study was a case-control study of 180 cases and 180 controls nested in the Prospective Urban Rural Epidemiology (PURE) study baseline data, which was collected in 2005. The DNA samples of the participants were genotyped for 77 single nucleotide polymorphisms (SNPs), using Illumina® VeraCode technology on the BeadXpress® platform. The gPlink software was used to evaluate the standard genetic models of disease penetrance for the association of the common variants with impaired glucose tolerance (IGT) while adjusting for age, sex and body mass index. Results: Four out of the 66 SNPs that were evaluated through the genetic association tests in this study were noted to be significantly associated with IGT (p< 0.05). Of the four SNPs, only rs1436955 was associated with an increase in T2D risk, while the other three variants, rs831571, rs8050136 and rs7542900, were noted to be associated with a decreased risk of T2D. However, none of the four SNPs was significantly associated with IGT after correcting for multiple testing (p <0.05). Conclusions: Black South Africans of Tswana descent might not share common variants associated with T2D risk, as indicated by IGT in other ethnicities. Wellpowered studies are required to evaluate the association of common variants with T2D risk in this population group. The results from this study emphasise the need for population-specific variants to assess the genetic susceptibility of complex diseases such as T2D in the black South African population. / MSc (Nutrition), North-West University, Potchefstroom Campus, 2014

Introduction: The continual increase of type 2 diabetes (T2D) prevalence is a global public health concern. The aetiology of T2D has not been fully elucidated and this is hampering the development of effective preventative and curative interventions to curb the T2D burden. Although much has been done to elucidate the environmental risk factors associated with T2D, little is known about the precise genetic risk factors that predispose people to it. There is limited knowledge about the common variants associated with T2D risk in the black South African population. However, evidence of shared common variants associated with T2D among people of different ethnicities has been documented. Nonetheless, the majority of the common variants that have been reported to be associated with T2D in other ethnicities are still yet to be evaluated in the black South African population. Objectives: The aim of this study was to evaluate the association of previously reported common genetic variants with T2D susceptibility, as indicated by impaired glucose tolerance (IGT), in a black South African population of Tswana descent. Methods: This study was a case-control study of 180 cases and 180 controls nested in the Prospective Urban Rural Epidemiology (PURE) study baseline data, which was collected in 2005. The DNA samples of the participants were genotyped for 77 single nucleotide polymorphisms (SNPs), using Illumina® VeraCode technology on the BeadXpress® platform. The gPlink software was used to evaluate the standard genetic models of disease penetrance for the association of the common variants with impaired glucose tolerance (IGT) while adjusting for age, sex and body mass index. Results: Four out of the 66 SNPs that were evaluated through the genetic association tests in this study were noted to be significantly associated with IGT (p< 0.05). Of the four SNPs, only rs1436955 was associated with an increase in T2D risk, while the other three variants, rs831571, rs8050136 and rs7542900, were noted to be associated with a decreased risk of T2D. However, none of the four SNPs was significantly associated with IGT after correcting for multiple testing (p <0.05). Conclusions: Black South Africans of Tswana descent might not share common variants associated with T2D risk, as indicated by IGT in other ethnicities. Wellpowered studies are required to evaluate the association of common variants with T2D risk in this population group. The results from this study emphasise the need for population-specific variants to assess the genetic susceptibility of complex diseases such as T2D in the black South African population. / MSc (Nutrition), North-West University, Potchefstroom Campus, 2014

The link between the genotype and the phenotype of an organism is immensely complex. Despite this it can, to a great extent, be captured using models that assume that gene variants combine their effects in an additive manner. This thesis explores aspects of genetics that cannot be fully captured using such additive models. Using experimental data from three different model organisms, I study two phenomena that fall outside of the additive paradigm: genetic interactions and genetic variance heterogeneity. Using the model plant Arabidopsis thaliana, we show how important biological insights can be reached by exploring loci that display genetic variance heterogeneity. In the first study, this approach identified alleles in the gene CMT2 associated with the climate at sampling locations, suggesting a role in climate adaption. These alleles affected the genome wide methylation pattern, and a complete knock down of this gene increased the plants heat tolerance. In the second study, we demonstrate how the observed genetic variance heterogeneity was the result of the partial linkage of many functional alleles near the gene MOT1, all contributing to Molybdenum levels in the leaves. Further, we explore genetic interactions using data from dogs and budding yeast (Saccharomyces cerevisiae). In the dog population, two interacting loci were associated with fructosamine levels, a biomarker used to monitor blood glucose. One of the loci displayed the pattern of a selective sweep in some of the studied breeds, suggesting that the interaction is important for the phenotypic breed-differences. In a cross between two strains of yeast, with the advantage of large population size and nearly equal allele frequencies, we identified large epistatic networks. The networks were largely centered on a number of hub-loci and altogether involved hundreds of genetic interactions. Most network hubs had the ability to either suppress or uncover the phenotypic effects of other loci. Many multi-locus allele combinations resulted in phenotypes that deviated significantly from the expectations, had the loci acted in an additive manner. Critically, this thesis demonstrates that non-additive genetic mechanisms often need to be considered in order to fully understand the genetics of complex traits.

No description available.

Family, twin and adoption studies consistently suggest that genetic factors strongly influence the risk for alcohol dependence (AD). Although the literature supports the role of genetics in AD, identification of specific genes contributing to the etiology of AD has proven difficult. These difficulties are due in part to the complex set of risk factors contributing to the development of AD. These risk factors include comorbidities with other clinical diagnoses and behavioral phenotypes (e.g., major depression), physiological differences that contribute to the differences between people in their level of response to ethanol (e.g., initial sensitivity) and finally the large number of biological pathways targeted by and involved in the processing of ethanol. These complexities have probably contributed to the limited success of linkage and candidate gene association studies in finding genes underlying AD. The powerful and unbiased genome-wide association study (GWAS) offers promise in the study of complex diseases. However, due to the complexities of known risk factors, GWAS data has yet to provide consistent, replicable results. In light of these difficulties, this dissertation has five specific aims which attempt to investigate genetic risk loci for AD and related phenotypes through improved methods for candidate gene selection, analysis of a pooled genome-wide association study, genome-wide analyses of initial sensitivity and maximum alcohol consumption in a twenty-four hour period and finally, creation of a multivariate AD/internalizing phenotype.

PROX1 étant un facteur de susceptibilité au diabète de type 2 (DT2), nousavons réalisé des études génétiques et moléculaires afin de comprendre son rôledans l’étiologie du DT2.Nous avons analysé l’impact de 80 SNPs de PROX1 sur des phénotypescliniques associés au DT2 dans l’étude HELENA (n=1155 adolescents) et montréque trois SNPs (rs340838, rs340837 et rs340836) sont associés à l’insulinémie àjeun. Nous avons évalué la fonctionnalité de 9 SNPs (les 3 SNPs associés et 6 SNPsen déséquilibre de liaison) en utilisant un gène rapporteur Luciférase dans descellules HepG2 et MIN6. Les allèles associés à la diminution de l’insulinémie desSNPs rs340874, rs340873 et rs340835 sont associés à une diminution del’expression du gène rapporteur Luciférase, suggérant que l’expression de PROX1est diminuée chez les individus porteurs des allèles à risque.Nous avons aussi montré que l’inhibition de l’expression de Prox1 par siRNAsdans les cellules INS-1E engendrait une diminution de 1,7 fois de la sécrétiond’insuline en réponse au glucose et qu’une concentration élevée en glucose modulaitpositivement l’expression de la protéine Prox1.Des analyses transcriptomiques réalisées dans les cellules INS-1E ont permisde montrer que certains des gènes cibles de PROX1 dans les cellules bêta sont desgènes impliqués dans des voies de sécrétion d’insuline.Enfin, nous avons également observé que l’agoniste de PPARgamma, latroglitazone, diminuait l’expression de Prox1 dans les cellules INS-1E.Ces résultats suggèrent qu’une altération de l’expression de Prox1 par desvariants cis-régulateurs pourrait conduire à une sécrétion d’insuline en réponse auglucose altérée des cellules bêta, conférant ainsi une susceptibilité au DT2. / As PROX1 is a susceptibility factor for type 2 diabetes (T2D), we conductedgenetic and molecular studies to better understand the role of PROX1 in the etiology of T2D. We assessed the impact of 80 PROX1 SNPs on T2D-related biochemical traits in the HELENA study (n=1155 adolescents) and showed that 3 SNPs (rs340838, rs340837 and rs340836) were significantly associated with fasting plasma insulin levels. We evaluated the functional impact of 9 SNPs (the 3 insulin-associated SNPs plus 6 SNPs in linkage disequilibrium) using a Luciferase reporter gene expression in HepG2 and MIN6 cells. The insulin-lowering alleles of the rs340874, rs340873 and rs340835 SNPs were associated with lower Luciferase gene expression, suggesting that PROX1 expression may be lower in individuals carrying the insulin-lowering alleles. We also showed that the knock-down of Prox1 expression by siRNA in INS-1E cells resulted in a 1.7 fold reduced glucose-stimulated insulin secretion and that high concentrations of glucose positively modulated Prox1 protein expression. Then, microarray analyses performed in INS-1E cells showed that some PROX1 target genes in the _cells are implicated in insulin secretion pathways. Finally, we observed that the PPARgamma agonist, the troglitazone, decreased Prox1 expression in INS-1E cells. Altogether, these results suggest that an altered expression of Prox1 bys cisregulators variants results in an altered -cell glucose-stimulated insulin secretion andthereby confers susceptibility to T2D.