Cranberry common bean (Phaseolus vulgaris L.) is planted worldwide and consumed as a critical food source of human protein, fibre, carbohydrates, and minerals. Marsh spot (MS) is a physiogenic disorder which severely impacts seed quality in common beans. Previous studies indicate that MS involves a nutritional disorder caused by Mn deficiency. However, the inheritance and genetic mechanism of MS resistance are still not fully understood. To investigate the genetics of MS resistance, a population of 138 recombinant inbred lines (RILs) was developed from a bi-parental cross between a susceptible cultivar Messina and a resistant cultivar Cran09. The population and its two parents were evaluated for MS resistance during five consecutive years from 2015 to 2019 in both sandy and heavy clay soils in Morden, Manitoba, Canada. The severities of MS were rated and subsequently converted to MS resistance index (MSRI) and MS incidence (MSI). Statistical analyses indicated that MSI and MSRI were highly correlated (r = 0.96-0.99) and had high broad-sense heritability (H²) of 86.5% and 83.2%, respectively. Joint segregation analysis (JSA) of 18 phenotypic datasets from five years and two soil types showed that MS resistance was controlled by four major genes with genetic interactions - one of which may suppress the additive effect of the other three genes. To identify the quantitative trait loci (QTL) and the candidate genes associated with the MS resistance, the 138 RILs and the two parents were sequenced using genotyping by sequencing approach. A total of 52,676 SNPs were detected. After further filtering with a threshold of minor allele frequency > 0.01 and call rate > 20%, 2,061 SNPs were retained and then imputed for genetic map construction and QTL mapping. A genetic map consisting of 2,058 SNP markers on 11 linkage groups or chromosomes was constructed, which covered 1,004 recombination blocks with a total length of 6,449 cM and an average block of 6.42 cM. Three linkage map-based QTL-mapping models ICIM-ADD, ICIM-EPI, and GCIM and one genome-wide association study (GWAS) model RTM-GWAS for 18 phenotypic datasets from different years and soil types were used for identification of QTL. A total of 36 QTL, including 21 of additive and 15 of epistatic effects, were identified. Functional gene annotation analysis revealed 151 Mn-related candidate genes across the common bean reference genome and 17 of them harbored the six QTL discovered in this study. In conclusion, MS resistance in common bean is a highly heritable trait and controlled by several major and minor genes. The results of JSA and QTL mapping advance the current understanding of the genetic mechanisms of MS resistance in cranberry common bean, and provide additional resources for application in genomics-assisted breeding and potential isolation and functional characterization of the candidate genes.

No description available.

Genome-wide association studies (GWASs) have reported numerous associations between risk variants and major psychiatric disorders (MPDs) including schizophrenia (SCZ), bipolar disorder (BPD), major depressive disorder (MDD) and others. We reviewed all of the published GWASs, and extracted the genome-wide significant (p<10) and replicated associations between risk SNPs and MPDs. We found the associations of 6 variants located in 6 genes, including L type voltage-gated calcium channel (LTCCs) subunit alpha1 C gene (), that were genome-wide significant ( ) and replicated at single-point level across at least two GWASs. Among them, the associations between MPDs and rs1006737 within are most robust. Thus, as a next step, the expression of the replicated risk genes in human hippocampus was analyzed. We found had significant mRNA expression in human hippocampus in two independent cohorts. Finally, we tried to elucidate the roles of venlafaxine and ω-3 PUFAs in the mRNA expression regulation of the replicated risk genes in hippocampus. We used cDNA chip-based microarray profiling to explore the transcriptome-wide mRNA expression regulation by ω-3 PUFAs (0.72/kg/d) and venlafaxine (0.25/kg/d) treatment in chronic mild stress (CMS) rats. ω-3 PUFAs and venlafaxine treatment elicited significant up-regulation. We concluded that might confer the genetic vulnerability to the shared depressive symptoms across MPDs and CACNA1C might be the therapeutic target for depressive endophenotype as well.

A variety of atherosclerosis and cardiovascular disease (ASCVD) phenotypes are tightly linked to changes in the cardiac energy metabolism that can lead to a loss of metabolic flexibility and to unfavorable clinical outcomes. We conducted an association analysis of 31 ASCVD phenotypes and 97 whole blood amino acids, acylcarnitines and derived ratios in the LIFE-Adult (n = 9646) and LIFE-Heart (n = 5860) studies, respectively. In addition to hundreds of significant associations, a total of 62 associations of six phenotypes were found in both studies. Positive associations of various amino acids and a range of acylcarnitines with decreasing cardiovascular health indicate disruptions in mitochondrial, as well as peroxisomal fatty acid oxidation. We complemented our metabolite association analyses with whole blood and peripheral blood mononuclear cell (PBMC) gene-expression analyses of fatty acid oxidation and ketone-body metabolism related genes. This revealed several differential expressions for the heart failure biomarker N-terminal prohormone of brain natriuretic peptide (NT-proBNP) in peripheral blood mononuclear cell (PBMC) gene expression. Finally, we constructed and compared three prediction models of significant stenosis in the LIFE-Heart study using (1) traditional risk factors only, (2) the metabolite panel only and (3) a combined model. Area under the receiver operating characteristic curve (AUC) comparison of these three models shows an improved prediction accuracy for the combined metabolite and classical risk factor model (AUC = 0.78, 95%-CI: 0.76–0.80). In conclusion, we improved our understanding of metabolic implications of ASCVD phenotypes by observing associations with metabolite concentrations and gene expression of the mitochondrial and peroxisomal fatty acid oxidation. Additionally, we demonstrated the predictive potential of the metabolite profile to improve classification of patients with significant stenosis.

京都大学 / 新制・課程博士 / 博士(農学) / 甲第24654号 / 農博第2537号 / 新制||農||1097(附属図書館) / 学位論文||R5||N5435(農学部図書室) / 京都大学大学院農学研究科農学専攻 / (主査)教授 田尾 龍太郎, 教授 土井 元章, 准教授 中野 龍平 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DGAM

Peripheral blood biomarkers can inform clinical care and drug development. Establishing causality between biomarker and disease is often critical for such applications, but epidemiological studies are limited due to biases from confounding and reverse causation. Mendelian randomization analysis leverages random inheritance of genetic variants at conception to mimic properties of randomized studies and estimate unconfounded effects between biomarker and disease, or vice-versa. This thesis demonstrates the utility of Mendelian randomization as a complementary tool to elucidate observational studies, predict drug safety and repurposing opportunities, and improve diagnostic biomarkers for cardiometabolic diseases. First, we characterized the hypothesized relationship between lipoprotein(a) and atrial fibrillation. We demonstrated both observed and genetically predicted lipoprotein(a) levels were associated with higher risk of atrial fibrillation across multiple independent cohorts. Importantly, risk was partly mediated independent of atherosclerotic cardiovascular disease, a known consequence of elevated lipoprotein(a) and itself a risk factor for atrial fibrillation. Next, we explored the lifelong effects of endogenous testosterone across a comprehensive set of 461 health outcomes in 161,268 males from the UK Biobank cohort. Using Mendelian randomization analysis, we found higher testosterone had beneficial effects on body composition and bone mineral density but adverse effects on prostate cancer, androgenic alopecia, spinal stenosis, and hypertension. Finally, we applied Mendelian randomization with the intention of discovering biomarkers caused by disease, which are expected to represent markers of early disease. As a proof-of-concept, we applied this framework to identify biomarkers associated with genetic predisposition to kidney function among 238 biomarkers measured in the ORIGIN trial. We discovered reduced kidney function caused increased trefoil factor 3 and showed its addition to models with known risk factors improved discrimination of incident early-stage chronic kidney disease. Taken together, Mendelian randomization identified biomarkers that warrant further study, with promising implications for screening, prevention, and treatment of different cardiometabolic diseases. / Thesis / Doctor of Philosophy (PhD) / Biological markers associated with disease can inform novel therapeutics or diagnostics but distinguishing causation from correlation is challenging. Mendelian randomization – a technique that leverages random inheritance of genetic variation to infer causality – was used to examine the role of biomarkers in cardiometabolic diseases. First, we implicated lipoprotein(a) as a risk factor for atrial fibrillation that acts independent of atherosclerotic cardiovascular disease. Second, we comprehensively characterized the lifelong effects of testosterone on health outcomes in males, where we found evidence of both beneficial and adverse effects on disease. Finally, we discovered trefoil factor 3 as a diagnostic marker for early-stage chronic kidney disease. Altogether, this thesis demonstrated different applications of Mendelian randomization that showcase its utility as a complementary tool to reveal causal biomarkers, and served to identify biomarkers for cardiometabolic diseases that merit further studies to evaluate their potential benefit on patient care.

No description available.

Abstract Advances over the past few decades in ante- and neonatal care have led to the survival of a growing number of premature infants of extremely low gestational age. However, the occurrence of serious diseases, particularly those affecting the most immature infants, remains high. Bronchopulmonary dysplasia (BPD), a chronic lung disease of premature infants, is one such disease. Our current understanding of the molecular pathogenesis of BPD is incomplete; consequently, there are few preventive and therapeutic options for BPD. Moreover, it is challenging to predict the risk of BPD. Previous studies of BPD in twins revealed that the heritability of BPD is quite high. However, the individual genes that predispose premature infants to BPD are largely unknown. The aim of this study was to identify and study genes associated with BPD in order to investigate its pathogenesis. An additional aim was to add to knowledge of the risk of BPD in newborn premature infants, with an emphasis on twins. A candidate gene study found no consistent association between common polymorphisms of vascular endothelial growth factor receptor 2 and BPD. A second candidate gene study noted an association between the gene encoding Kit ligand and BPD. A genome-wide association study found a suggestive association between a locus close to the gene encoding C-reactive protein (CRP) and BPD, and in subsequent analyses, plasma levels of CRP during the first week of life predicted BPD. Finally, a nationwide register study found that the risk of BPD was lower in twins than in singletons. The results of this study add to what is known of the genetics and pathogenesis of BPD. They also provide new data on the risk of BPD, which may be used to improve early identification of infants for whom the risk of developing BPD is high. / Tiivistelmä Ennenaikaisen syntymän ja keskoslasten hoidon kehittymisen myötä yhä useammat huomattavan epäkypsinä syntyneet lapset jäävät henkiin. Samalla erityisesti juuri näitä lapsia uhkaavien sairauksien esiintyvyys on pysynyt korkeana. Bronkopulmonaalinen dysplasia (BPD, keskosen krooninen keuhkosairaus) on yksi näistä sairauksista. BPD:n molekyylitasoinen tautimekanismi on vielä osin tuntematon, eikä BPD:tä tehokkaasti estävää tai siitä parantavaa hoitoa ole. Myös BPD riskin arvioiminen vastasyntyneen keskoslapsen kohdalla on vaikeaa. BPD on huomattavan perinnöllinen tauti. BPD:lle altistavista geeneistä on kuitenkin vasta vähän tietoa. Tämän tutkimuksen tavoitteena oli lisätä tietoa BPD:n tautimekanismista tutkimalla BPD:lle altistavia geenejä. Lisäksi tutkimuksessa tarkasteltiin BPD:n esiintyvyyttä ja syntymää edeltäviä riskitekijöitä erityisesti kaksosten osalta. Ehdokasgeenitutkimuksessa verisuonten endoteelikasvutekijää koodaava geeni ei assosioitunut toistuvasti BPD:hen. Kit ligandia koodaava geeni sen sijaan assosioitui. Koko genomin assosiaatiotutkimuksessa C-reaktiivista proteiinia (CRP) koodaavan geenin lähistöltä löydettiin BPD:hen mahdollisesti assosioituva alue. Lisäksi ensimmäisen viikon CRP-arvojen osoitettiin ennakoivan myöhemmin kehittyvää BPD:tä. BPD-riskin todettiin olevan matalampi kaksi- kuin yksisikiöisistä raskauksista syntyneillä lapsilla. Tutkimuksen tulokset lisäävät tietoa BPD:n perinnöllisyydestä ja sitä kautta BPD:n tautimekanismista. Tutkimus toi myös uutta tietoa BPD:n riskitekijöistä parantaen vastasyntyneen keskoslapsen BPD-riskin arviota.

Je tiens à remercier les bourses des IRSC en collaboration avec le programme COPSE, les Bourses du Programme de Sciences biomédicales 2014-2015 et les Bourses d’excellence de la Faculté des études supérieures et post-doctorales Hydro-Québec (2015- 2016) pour leur contribution. / Introduction. Avec l’optimisation des traitements, le taux de guérison de la leucémie lymphoblastique aigüe (LLA) de l’enfant approche 90%. Cependant, 60% des survivants devront faire face à des complications à long-terme en lien avec les traitements. Ces patients ont un risque accru de complications cardiométaboliques telles que l’obésité, la résistance à l’insuline, la dyslipidémie et l’hypertension artérielle. Alors qu’il est reconnu que des facteurs génétiques contribuent au développement de ces complications, peu d’études ont observé l’impact de ces déterminants chez les survivants. Le but de cette étude est d’évaluer les associations entre les variantes rares et communes et le développement des complications cardiométaboliques chez les survivants de la LLA. Méthodes. La caractérisation du profil cardiométabolique et le séquençage de l’exome ont été réalisés dans une cohorte de 209 survivants de la LLA pédiatrique. Les variantes associées avec les complications cardiométaboliques ont été identifiées avec PLINK (commune) ou SKAT (rare et commune) et une régression logistique a été utilisée pour évaluer leur impact dans des modèles multivariés. Résultats. Nos analyses ont démontré que des variantes rares et communes dans les gènes BAD et FCRL3 sont associées au risque de présenter un phénotype dit extrême, soit trois facteurs de risque cardiométabolique et plus. Les variantes communes dans OGFOD3 et APOB et les variantes rares et communes dans BAD ont été associées à la dyslipidémie. Les variantes communes dans BAD et SERPINA6 ont été associées respectivement à l’obésité et la résistance à l’insuline. Conclusion. Notre étude a révélé une susceptibilité génétique au développement des complications cardiométaboliques chez les survivants de la LLA pédiatrique. Ces biomarqueurs pourront être utilisés pour la détection précoce et l’intervention chez cette population à haut risque. / Background. While cure rates for childhood acute lymphoblastic leukemia (cALL) now exceed 80%, over 60% of survivors will face treatment-related long-term sequelae, including cardiometabolic complications such as obesity, insulin resistance, dyslipidemia and hypertension. Although genetic susceptibility contributes to the development of these problems, there are very few studies that have so far addressed this issue in a cALL survivorship context. In this study, we aimed at evaluating the associations between common and rare genetic variants and long-term cardiometabolic complications in survivors of cALL. Method. We examined the cardiometabolic profile and performed whole-exome sequencing in 209 cALL survivors from the PETALE cohort. Variants associated with cardiometabolic outcomes were identified using PLINK (common) or SKAT (common and rare) and a logistic regression was used to evaluate their impact in multivariate models. Results. Our results showed that rare and common variants in the BAD and FCRL3 genes were associated (p<0.05) with an extreme cardiometabolic phenotype (3 or more cardiometabolic risk factors). Common variants in OGFOD3 and APOB as well as rare and common BAD variants were significantly (p<0.05) associated with dyslipidemia. Common BAD and SERPINA6 variants were associated (p<0.05) with obesity and insulin resistance, respectively. Conclusion. In summary, we identified genetic susceptibility loci as contributing factors to the development of late treatment-related cardiometabolic complications in cALL survivors. These biomarkers could be used as early detection strategies to identify susceptible individuals and implement appropriate measures and follow-up to prevent the development of risk factors in this high-risk population.

My thesis aims at identifying both genetic and environmental causes of major depressive disorder (MDD), using a large case-control study: 6,000 Chinese women with recurrent MDD and 6,000 controls. One of the major challenges for conducting genetic research on MDD is disease heterogeneity. The first question addressed is how different MDD is from highly comorbid anxiety disorders. I examine how anxiety disorders predict clinical features of depression and the degree of heterogeneity in their predictive pattern. The second question addressed is whether clinically defined MDD is a single disorder, or whether it consists of multiple subtypes. Results are then compared with and interpreted in the context of Western studies. Furthermore, latent class analysis and factor analysis results are also used in association analysis to explore more genetically homogeneous subtypes. Genetic data were derived using a novel strategy, low pass whole genome sequence analysis. Using genotypes imputed from the sequence data, I show that a cluster of single nucleotide polymorphisms (SNPs) is significantly associated with a binary disease phenotype including only cases with = 4 episodes of MDD, suggesting that recurrence might be an indication of genetic predisposition. The third issue examined is the contribution of rare variants to disease susceptibility. Again using sparse sequence data, I identified exonic sequence variants and performed gene-based analysis by comparing the number of variants between cases and controls in every gene. Furthermore I performed gene enrichment test by combining P values of SNP association tests at different minor allele frequency ranges. Overall, I did not find convincing evidence that rare variants aggregately contribute to disease susceptibility. However, the gene-based analysis resulted in an unexpected finding: cases have an excess of variants in all thirteen-protein coding mitochondrial genes, which was due to copy number differences in the mitochondrial genome. Both human phenotypic data as well as mice experimental data show that the increase in the mitochondrial copy number in cases is due to chronic stress.