Des anomalies biochimiques de la voie sérotonine-N-acétylsérotonine-mélatonine ont été observées dans les Troubles du Spectre Autistique (TSA) et la prématurité. Cependant, les mécanismes moléculaires de régulation de cette voie et les causes des anomalies biochimiques observées dans ces maladies sont encore mal connus. Afin de mieux comprendre les bases génétiques de la voie sérotonine-N-acétylsérotonine-mélatonine, nous avons utilisé une approche de génétique quantitative au travers de deux populations d’étude indépendantes, dans lesquelles des paramètres de cette voie ont été mesurés. Ces deux cohortes, composées d’une part de plus de 250 familles avec autisme et plus de 300 témoins et d’autre part, de 183 nouveau-nés dont 93 nés très prématurés, incluent ainsi des individus présentant deux situations pathologiques différentes associées à des anomalies de cette voie. Une première étude de la voie sérotonine-N-acétylsérotonine-mélatonine dans les familles avec TSA a permis d’obtenir des estimations de l’héritabilité au sens strict, allant de 0,22 pour la mélatonine à 0,72 pour la N-acétylsérotonine (NAS). Des études d’association portant dans un premier temps sur une liste de 812 gènes candidats pour la régulation de la voie sérotonine-NAS-mélatonine et dans un second temps sur tout le génome, n’ont pas permis d’identifier des variants significativement associés aux traits biochimiques. Cependant, des études d’association par gènes ont permis d’identifier trois nouveaux gènes candidats (IL21R, JMJD7 et MAPKBP1) pour la régulation de cette voie dans les familles avec TSA ainsi qu’un nouveau gène (RAET1G) dans la cohorte de nouveau-nés prématurés et témoins. Enfin une étude biochimique des phénol-sulfotransférases (PST) dans les familles avec TSA a mis en évidence une faible activité enzymatique chez 29% des patients en comparaison avec les témoins (5ème percentile). Le séquençage et le génotypage du nombre de copies des gènes de la famille SULT1A1 n’ont pas permis d’identifier des variations génétiques associées aux TSA, à l’activité PST, ou aux taux de sérotonine et de mélatonine. En conclusion, ces résultats confirment la complexité de l’architecture génétique de la voie sérotonine-NAS-mélatonine. D’autre part, ils ont permis de mettre en évidence une héritabilité élevée de cette voie et d’identifier de nouveaux gènes candidats pour comprendre la diversité inter-individuelle de cette voie chez les personnes avec TSA, les enfants prématurés et la population générale. / Biochemical abnormalities of the serotonin-N-acetylserotonin-melatonin pathway have been reported in many clinical conditions such as Autism Spectrum Disorders and preterm birth. However, molecular mechanisms underlying this pathway regulation, as well as the causes of these biochemical abnormalities remain largely unknown. The aim of this study was thus to characterize the genetic basis of the serotonin-N-acetylserotonin-melatonin pathway. To do so, we used a quantitative genetic approach in two independent populations that were previously biochemically explored for this pathway. One cohort consisted of more than 250 families with ASD and more than 300 controls and the other was composed of 183 infants including 93 very preterm newborns. Both cohorts included individuals with clinical conditions associated with disruptions of the serotonin-N-acetylserotonin-melatonin pathway. Narrow sense heritability analysis of this pathway showed relatively high estimates, ranging from 0.22 for melatonin to 0.72 for N-acetyserotonin (NAS). First, candidate-gene association studies including 812 genes related to the serotonin-NAS-melatonin pathway, then genome-wide association studies were conducted. These analyses did not identify any variant associated at the genome-wide significance level. However, a gene-based approach identified three new candidate genes (IL21R, JMJD7 and MAPKBP1) for the regulation of the pathway in families with ASD as well as one gene (RAET1G) in the cohort of preterm and term newborns. Finally, a biochemical exploration of the phenol-sulfotransferases (PST) in families with ASD revealed a decreased enzyme activity in 29% of patients compared with controls (5th percentile). SULT1A1-4 genes were then sequenced and copy number variants (CNV) were genotyped. No genetic variant could be significantly associated with PST activity, melatonin and serotonin levels, or ASD status. In conclusion, these results confirm the complexity of serotonin-NAS-melatonin pathway genetic architecture. Furthermore, this study revealed high heritability of this pathway and identified new candidate genes to understand the inter-individual variability of this pathway in ASD, preterm birth and the general population.

Abstract Low back pain (LBP) is a highly prevalent musculoskeletal condition and the leading cause for workplace absenteeism. Lumbar disc degeneration (DD) is considered as a contributing factor to LBP. The role of genetic factors in the development of lumbar DD has been demonstrated to be significant, with heritability estimates ranging from 64% to 81%. Modic change (MC), a distinct phenotype of lumbar DD, is a subchondral and vertebral bone marrow change revealed only by magnetic resonance imaging (MRI). MC has been associated with LBP in both clinical samples and the general population. The genetic background of MC is largely unknown, and the heritability of MC has not previously been assessed. The aim of this study was to assess the heritability of MC using a twin study, identify predisposing genetic factors for MC in a family-based design using whole-exome sequencing and to identify genetic loci associated with MC using genome-wide association study (GWAS) meta-analysis. An additional aim was to study the prevalence, incidence and morphology of MC. The data consisted of two general population samples, the Northern Finland Birth Cohort 1966 (NFBC1966) and TwinsUK from the United Kingdom, as well as two Finnish families from the Oulu region. MC was found to be partly heritable with a heritability estimate of 30%. Two novel candidate genes, HSPG2 and MAML1, were found co-segregating with MC in two Finnish families. Both genes are important in the growth and differentiation of chondrocytes. Finally, a genetic locus on chromosome 9 was found to be significantly associated with MC using genome-wide meta-analysis of NFBC1966 and TwinsUK. These results showed that genetic factors play a role in the development of MC. In conclusion, this thesis increased the knowledge on the genetics of MC. However, the specific roles of these genes need to be studied further. / Tiivistelmä Alaselkäkivun kansaterveydellinen merkitys on suuri, sillä jopa 84% aikuisista kärsii siitä elämänsä aikana. Selkäkivun vuoksi Suomessa kertyy yli 2 miljoona sairauslomapäivää vuodessa. Välilevyrappeumaa pidetään merkittävänä tekijänä alaselkäkivun synnyssä ja perinnölliset tekijät selittävät välilevyrappeuman synnystä jopa 74%. Modic-muutokset ovat selkärangan välilevyjen päätelevyjen ja subkondraalisen luun muutoksia, jotka voidaan havaita ainoastaan magneettikuvauksella. Niitä pidetään välilevyrappeuman alatyyppinä. Modic-muutosten on osoitettu olevan yhteydessä alaselkäkipuun, mutta etiologia tunnetaan huonosti. Perinnöllisyyden osuutta Modic-muutoksien synnyssä ei ole aiemmin tutkittu ja niiden taustalla vaikuttavat geneettiset tekijät ovat pääasiassa tuntemattomia. Tämän tutkimuksen tavoitteena oli arvioida perinnöllisyyden osuutta Modic-muutoksissa kaksoisaineistossa, tunnistaa Modic-muutoksille altistavia geneettisiä muutoksia perheaineistossa käyttäen eksomisekvensointia ja tunnistaa genomin alueita, jotka assosioituvat Modic-muutoksiin. Tutkimus perustui kahteen väestöperäiseen aineistoon: Pohjois-Suomen Syntymäkohorttiin 1966 ja TwinsUK-kaksosaineistoon Yhdistyneistä kuningaskunnista sekä kahteen pohjois-suomalaiseen perheeseen. Tutkimuksessa osoitettiin, että Modic-muutokset ovat perinnöllisiä ja, että perinnölliset tekijät selittävät noin 30% niiden ilmenemisestä. Lisäksi tutkimuksessa tunnistettiin kaksi uutta alttiusgeeniä; HSPG2- ja MAML1-geenit. Molemmilla geeneillä on tärkeä rooli rustosolujen kasvamisessa ja erilaistumisessa. Tutkimuksessa myös tunnistettiin kromosomista 9 genomin alue, joka assosioituu Modic-muutoksiin. Väitöskirjassani osoitettiin, että perinnöllisillä tekijöillä on merkitystä Modic-muutosten synnyssä. Kokonaisuudessaan tämä väitöskirja kasvattaa ymmärrystä Modic-muutoksista, mutta lisätutkimusta aiheesta tarvitaan.

Bermudagrass (Cynodon spp.) breeding and cultivar development is hampered by limited information regarding its genetic and phenotypic diversity. A germplasm collection of 206 bermudagrass accessions from 29 countries was genotyped with high-throughput genotyping-by-sequencing technique. Genomic diversity in this diverse germplasm panel was assessed with multifaceted approaches including population structure, phylogenetic analysis, principal component analysis, and genetic diversity parameters. This study revealed substantial genetic variation in the Cynodon accessions, demonstrating the potential of this germplasm panel for further genetic studies and cultivar development in breeding programs. Another critical issue in turfgrass breeding is the lack of information regarding the genetic architecture of traits. Four agronomic traits leaf length, leaf width, internode distance and stem diameter were evaluated in a germplasm panel of common bermudagrass accessions. Then genome-wide association study was performed to dissect the genetic basis of the traits.

Flax (Linum usitatissimum L.) is a self-pollinated crop widely cultivated for fiber and oil production. Flaxseed is renowned for its health attributes but the presence of compounds, such as the heavy metal cadmium (Cd), is undesirable. Genomic studies in flax have produced large amounts of data in the last 15 years, providing useful resources to improve the genetic of this crop using genomics-based technologies and strategies. The goal of this thesis is therefore to capitalize on these advances to address the Cd problem and to propose solutions to improve breeding efficiencies. To find genomic-based solutions to Cd content, to the currently low breeding efficiency and to abiotic stress resistance in flax, this study utilized four major strategies: (1) genomic cross prediction, (2) gene family identification, (3) genome-wide association study (GWAS) and (4) genomic selection (GS). Characterization of the ATP-binding cassette (ABC) transporter and heavy metal associated (HMA) gene families was performed using the flax genome sequence. A total of 198 ABC transporter and 12 HMA genes were identified in the flax genome, of which nine were orthologous to Cd-associated genes in Arabidopsis, rice and maize. A transcriptomic analysis of eight tissues provided some support towards the functional annotation of these genes and confirmed the expression of these ABC transporter and HMA genes in flax seeds and other tissues. A diversity panel of 168 flax accessions was grown in the field at multiple locations and years and the seed content of 24 heavy metals (HMs) was measured. The panel was also sequenced and a single nucleotide polymorphism (SNP) dataset of nearly 43,000 SNPs was defined. A GWAS was conducted using these genotypic and phenotypic data and a total of 355 non-redundant quantitative trait nucleotides (QTNs) were identified for ten of the 24 metal contents. Overall, a total of 24 major and 331 minor effect QTNs were detected, including 11 that were pleiotropic. After allelic tests, 108 non-redundant QTNs were retained for eight of the ten metals and ranging from one for copper (Cu) to 70 for strontium (Sr). A total of 20 candidate genes for HM accumulation were identified at 12 of the 24 major QTN loci, of which five belonged to the ABC transporter family. Many of the metal contents, including Cd, appeared to be controlled by many genes of small effects; hence, GS is better suited than marker-assisted selection for application in breeding. To test this, predictive ability using ten GS statistical models was evaluated using trait-specific QTN and the random genome-wide 43K SNP datasets. Significantly higher predictive abilities were observed from the GS models built with the dataset made of QTNs associated with metal contents (70-80%) compared to that of the 43K dataset (10-25%). This study showed the feasibility of using GS to improve the predictive ability of polygenic traits such as metal content in seeds. GS can be applied in early generation selection to accelerate the improvement of abiotic stress resistance and either select low-Cd lines or discard high-Cd lines. These findings validate the use of a QTL-based strategy as a highly effective method for improving the efficiency of predictive ability of GS for highly complex traits such as resistance or tolerance to HM accumulation. Identification of both large and minor effect QTNs and/or pleiotropic effects hold potential for flax breeding improvement. Candidate gene functional validation can be performed using methods such as genome editing or targeting induced local lesions in genomes (TILLING).

Indiana University-Purdue University Indianapolis (IUPUI) / Alzheimer's disease (AD) is a national priority, with nearly six million Americans affected at an annual cost of $200 billion and no available cure. A better understanding of the mechanisms underlying AD is crucial to combat its high and rising incidence and burdens. Most cases of AD are thought to have a complex etiology with numerous genetic and environmental factors influencing susceptibility. Recent genome-wide association studies (GWAS) have confirmed roles for several hypothesized genes and have discovered novel loci associated with disease risk. However, most GWAS-implicated genetic variants have displayed modest individual effects on disease risk and together leave substantial heritability and pathophysiology unexplained. As a result, new paradigms focusing on biological pathways have emerged, drawing on the hypothesis that complex diseases may be influenced by collective effects of multiple variants – of a variety of effect sizes, directions, and frequencies – within key biological pathways. A variety of tools have been developed for pathway-based statistical analysis of GWAS data, but consensus approaches have not been systematically determined. We critically review strategies for genetic pathway analysis, synthesizing extant concepts and methodologies to guide application and future development. We then apply pathway-based approaches to complement GWAS of key AD-related endophenotypes, focusing on two early, hallmark features of disease, episodic memory impairment and brain deposition of amyloid-β. Using GWAS and pathway analysis, we confirmed the association of APOE (apolipoprotein E) and discovered additional genetic modulators of memory functioning and amyloid-β deposition in AD, including pathways related to long-term potentiation, cell adhesion, inflammation, and NOTCH signaling. We also identified genetic associations to amyloid-β deposition that have classically been understood to mediate learning and memory, including the BCHE gene and signaling through the epidermal growth factor receptor. These findings validate the use of pathway analysis in complex diseases and illuminate novel genetic mechanisms of AD, including several pathways at the intersection of disease-related pathology and cognitive decline which represent targets for future studies. The complexity of the AD genetic architecture also suggests that biomarker and treatment strategies may require simultaneous targeting of multiple pathways to effectively combat disease onset and progression.