Interpretation of psychiatric genome-wide association studies with multispecies heterogeneous functional genomic data integration.

Genome-wide association studies and other discovery genetics methods provide a means to identify previously unknown biological mechanisms underlying behavioral disorders that may point to new therapeutic avenues, augment diagnostic tools, and yield a deeper understanding of the biology of psychiatric conditions. Recent advances in psychiatric genetics have been made possible through large-scale collaborative efforts. These studies have begun to unearth many novel genetic variants associated with psychiatric disorders and behavioral traits in human populations. Significant challenges remain in characterizing the resulting disease-associated genetic variants and prioritizing functional follow-up to make them useful for mechanistic understanding and development of therapeutics. Model organism research has generated extensive genomic data that can provide insight into the neurobiological mechanisms of variant action, but a cohesive effort must be made to establish which aspects of the biological modulation of behavioral traits are evolutionarily conserved across species. Scalable computing, new data integration strategies, and advanced analysis methods outlined in this review provide a framework to efficiently harness model organism data in support of clinically relevant psychiatric phenotypes

An integrative approach for building personalized gene regulatory networks for precision medicine

Only a small fraction of patients respond to the drug prescribed to treat their disease, which means that most are at risk of unnecessary exposure to side effects through ineffective drugs. This inter-individual variation in drug response is driven by differences in gene interactions caused by each patient's genetic background, environmental exposures, and the proportions of specific cell types involved in disease. These gene interactions can now be captured by building gene regulatory networks, by taking advantage of RNA velocity (the time derivative of the gene expression state), the ability to study hundreds of thousands of cells simultaneously, and the falling price of single-cell sequencing. Here, we propose an integrative approach that leverages these recent advances in single-cell data with the sensitivity of bulk data to enable the reconstruction of personalized, cell-type- and context-specific gene regulatory networks. We expect this approach will allow the prioritization of key driver genes for specific diseases and will provide knowledge that opens new avenues towards improved personalized healthcare

Genomic Rearrangements in Arabidopsis Considered as Quantitative Traits.

To understand the population genetics of structural variants and their effects on phenotypes, we developed an approach to mapping structural variants that segregate in a population sequenced at low coverage. We avoid calling structural variants directly. Instead, the evidence for a potential structural variant at a locus is indicated by variation in the counts of short-reads that map anomalously to that locus. These structural variant traits are treated as quantitative traits and mapped genetically, analogously to a gene expression study. Association between a structural variant trait at one locus, and genotypes at a distant locus indicate the origin and target of a transposition. Using ultra-low-coverage (0.3×) population sequence data from 488 recombinant inbred Arabidopsis thaliana genomes, we identified 6502 segregating structural variants. Remarkably, 25% of these were transpositions. While many structural variants cannot be delineated precisely, we validated 83% of 44 predicted transposition breakpoints by polymerase chain reaction. We show that specific structural variants may be causative for quantitative trait loci for germination and resistance to infection by the fungus Albugo laibachii, isolate Nc14. Further we show that the phenotypic heritability attributable to read-mapping anomalies differs from, and, in the case of time to germination and bolting, exceeds that due to standard genetic variation. Genes within structural variants are also more likely to be silenced or dysregulated. This approach complements the prevalent strategy of structural variant discovery in fewer individuals sequenced at high coverage. It is generally applicable to large populations sequenced at low-coverage, and is particularly suited to mapping transpositions

Genetic variation in the chicken genome: insights in selection

The chicken currently provides more than a quarter of the meat and nearly all eggs produced worldwide. For future improvements in production traits and animal welfare as well as to address future consumer demands it is necessary to understand the etiology and biology underlying production traits and diseases. The primary aim of the research described in this thesis was to investigate the utility of several molecular approaches to identify causative variants underlying a variety of traits in the chicken. The general introduction in chapter 1 provides an overview of the domestication history of the chicken - with a particular focus on commercial chicken breeds - and describes the importance to identify causative variants underlying production traits and diseases. Furthermore, several different molecular techniques and methods are introduced that are being used to detect causative variants underlying monogenic and polygenic traits. Linkage maps are essential for linkage analysis, important to study recombination rates and recombination hotspots within the genome and can assist in the sequence assembly of genomes. In chapter 2 we describe the construction of a new high-resolution linkage map of the chicken genome based on two chicken populations with a total of 1619 individuals. The two populations used are a purebred broiler line and a broiler x broiler cross. This high resolution allowed accurate identification of recombination hotspots in the chicken genome, including sex specific recombination. Furthermore, to improve the current reference genome (WASHUC2), 613 unmapped markers were included in the genome-wide assay that included a total of 17,790 SNPs. The resulting linkage map comprises 13,340 SNPs, of which 360 had not been assigned to a known chromosome on chicken genome build WASHUC2. The resulting linkage map is composed of 31 linkage groups, with a total length of 3,054 cM for the sex-average map of the combined population. Regional differences in recombination hotspots between the two mapping populations were observed for several chromosomes near the telomere of the p arm. The sex-specific analysis revealed that these regional differences were mainly caused by female-specific recombination hotspots in the broiler × broiler cross. In chapter 3 we describe the molecular characterization of the locus causing the late feathering phenotype; a monogenic trait in chicken that results in a delayed emergence of flight feathers at hatch. The late feathering phenotype is beneficial to breeders as it can be used for sex typing at hatch. The locus has, therefore, been extensively used in diverse commercial chicken breeds. However, a retrovirus closely linked to the late feathering allele causes a negative pleiotropic effect on egg production and causes viral infections. Within this chapter we describe the identification of a 180 kb tandem duplication in the late feathering allele using a quantitative PCR approach. The tandem duplication results in the partial duplication of two genes; the prolactin receptor and the gene encoding sperm flagellar protein 2. Sequence analysis revealed that the duplication is identical in broiler, white egg-layer, and brown egg-layer lines. This information was also used to design a molecular test to detect this duplication, particularly in heterozygous individuals. The recent advances in massive parallel sequencing technologies have enabled rapid and cost-effective detection of all genetic variants within genomes. The detection of all genetic variants within a genome has further increased our ability to identify causative variants underlying quantitative trait loci (QTL). In chapter 4, we combined a genome-wide association study with whole-genome resequencing to identify causative variants underlying the pulmonary hypertension syndrome (PHS), a polygenic trait in chicken. PHS is a metabolic disease that has been linked to intense selection on growth rate and feed conversion ratio of modern broilers (meat-type chicken). PHS has become one of the most frequent causes of mortality within the broiler industry and leads to substantial economic losses and reduced animal welfare. In total, 18 QTL regions were identified in the genome-wide association study. In order to detect causative variants underlying these QTL regions, we sequenced the genomes of twelve individuals. To maximize the detection of causative variants we selected the individuals based on extreme phenotypes for PHS. Within 8 QTL regions we identified a total of 10 genes that contain at least one variant that is predicted to affect protein function. Moreover, 7.62 million SNPs were detected within the twelve animals compared to the reference genome. These markers can be used in the development of future genome-wide assays. Genomic regions that have undergone selection should contain loci that influence important phenotypic traits and will, therefore, include causative variant(s) that could aid in further future improvement of production traits and disease resistance. In chapter 5, we applied hitch-hiking mapping to make a broad assessment of the effects of selection histories in domesticated chicken. Towards this end, we sampled commercial chickens representing all major breeding goals from multiple breeding companies. In addition, we sampled non-commercial chicken diversity by sampling almost all recognized traditional Dutch breeds and a representative sample of breeds from China. The broad sample of 67 commercial and non-commercial breeds were assessed for signatures of selection in the genome using information of 57,636 SNPs that were genotyped on pooled DNA samples. Our approach demonstrates the strength of including many different populations with similar, and breed groups with different selection histories to reduce stochastic effects based on single populations. The detection of regions of putative selection resulted in the identification of several candidate genes that could aid in further improvement of production traits and disease resistance. Finally, the general discussion in chapter 6 describes the main findings of this thesis. In this chapter recommendations are given for the best strategies to detect causative variants underlying monogenic or polygenic traits. All strategies can benefit substantially from the recent developments in massive parallel sequencing, although the high costs of this method currently prevent large scale studies. In order to perform powerful and cost-effective studies, several strategies are discussed that combine massive parallel sequencing with other existing methods and techniques. Furthermore, the limitations of the different strategies are addressed, as well as the improvements needed in the near future to identify causative variants underlying a variety of traits in, but not limited to, the chicken.   </p

Diversification In The Neotropics – Evolution And Population Genetics Of The Armored Catfish Hypancistrus Sp. From The Xingu River

The Xingu River, one of the largest tributaries of the Amazon River, is currently in peril due to the recent construction of hydroelectric dams, but little is known about the numerous fish species it supports. This dissertation focuses on three pleco catfish species belonging to the genus Hypancistrus from the Xingu River with partially overlapping distributions: H. zebra, H. sp. (L174), and H. sp. (L66/333). Chapter 1 is a bibliographic review of Amazonian freshwater fish diversity, with the goal of discussing the hypotheses of speciation mechanisms that can be tested in this system, including the relative importance of ecological adaptation and vicariance caused by topographical divides and waterfalls and rapids, and arguing this is an important overlooked model for the study of speciation processes. The goal of Chapter 2 was to use genomic data to unravel the basic relationships among eight described and eleven undescribed species belonging to the genus Hypancistrus distributed across the Orinoco and Amazon Basins. The phylogenetic analyses support the existence of two clades corresponding to each basin, but relationships among some of the species are poorly supported. Further exploratory analyses in combination of hypotheses testing indicate there are at least four admixed lineages in the Amazon clade. Chapter 3 investigated the evolution of Hypancistrus from the Xingu River based on genomic data. With dense sampling of H. sp. (L66/333), phylogenetic and population genetic analyses reveal a gradient of genetic structure along the river, with introgression from lineages of Hypancistrus from other Amazon River tributaries close to the mouth of the Xingu. On the upstream limit of the distribution of H. sp. (L66/333), a population hybridized with H. sp. (L174) is found just upstream of waterfalls, that act as a partial barrier to gene flow. Tests for past gene flow suggest there is signal for multiple introgression events between these lineages, but the direction, timing, and intensity of these events is still unclear. Overall, these results indicate the evolution of Hypancistrus was exceptionally complex. Fascinating patterns of diversification are emerging from this system that is unfortunately in risk of extinction due to the impacts of damming