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Long-read sequencing offers a great improvement in the assembly of complex genomic regions, such as the major histocompatibility complex (MHC) region, which can contain both tandemly duplicated MHC genes (paralogs) and high repeat content. The MHC genes have expanded in passerine birds, resulting in numerous MHC paralogs, with relatively high sequence similarity, making the assembly of the MHC region challenging even with long-read sequencing. In addition, MHC genes show rather high sequence divergence between alleles, making diploid-aware assemblers incorrectly classify haplotypes from the same locus as sequences originating from different genomic regions. Consequently, the number of MHC paralogs can easily be over-or underestimated in long-read assemblies. We therefore set out to verify the MHC diversity in an original and a haplotype-purged long-read assembly of one great reed warbler Acrocephalus arundinaceus individual (the focal individual) by using Illumina MiSeq amplicon sequencing. Single exons, representing MHC class I (MHC-I) and class IIB (MHC-IIB) alleles, were sequenced in the focal individual and mapped to the annotated MHC alleles in the original long-read genome assembly. Eighty-four percent of the annotated MHC-I alleles in the original long-read genome assembly were detected using 55% of the amplicon alleles and likewise, 78% of the annotated MHC-IIB alleles were detected using 61% of the amplicon alleles, indicating an incomplete annotation of MHC genes. In the haploid genome assembly, each MHC-IIB gene should be represented by one allele. The parental origin of the MHC-IIB amplicon alleles in the focal individual was determined by sequencing MHC-IIB in its parents. Two of five larger scaffolds, containing 6-19 MHC-IIB paralogs, had a maternal and paternal origin, respectively, as well as a high nucleotide similarity, which suggests that these scaffolds had been incorrectly assigned as belonging to different loci in the genome rather than as alte

Polygonatum odoratum is a perennial rhizomatous medicinal plant and different plant parts have been used in the treatment of various ailments. Herein, we have investigated the structural compositions of rhizome, leaf, and stem cell walls. We found 30–44% of polysaccharides in these wall preparations were cyclohexanediaminetetraacetic acid (CDTA) extractable, the proportion of heteromannans (HMs) in the rhizome is nearly three-fold compared to that of the leave and stem. The pectic polysaccharides of the rhizome are also structurally more diverse, with arabinans and type I and type II arabinogalactans being richest as shown by linkage study of the sodium carbonate (Na2CO3) extract. In addition, the 2-linked Araf was rhizome-specific, suggesting the cell walls in the rhizome had adapted to a more complex structure compared to that of the leaf and stem. Water-soluble polysaccharide fractions were also investigated, high proportion of Man as in 4-linked Manp indicated high proportion of HMs. The 21.4 kDa pectic polysaccharides and HMs derived from rhizome cell walls induced specific immune response in mice macrophage cells producing IL-1α and hematopoietic growth factors GM-CSF and G-CSF in vitro., QC 20221012

Previous research has demonstrated that both visibility of parties, party leaders, candidates, and topics, and the sentiment of this coverage can affect people’s decision in the ballot box. Most of this research was, however, done in the period before social media gained importance which has drastically changed the media consumption of citizens. The main aim of this paper is to investigate whether, and if so to what extent, traditional media use during the 2021 Dutch parliamentary elections has (still) affected vote choice in this era of social media. To study this, two-wave panel survey data from the Dutch Parliamentary Election Survey (DPES) are combined with an automated content analysis of newspaper articles (N = 35,511). We created respondent-specific content variables to conduct a linkage analysis. Our analysis, relying on a pooled analysis of respondent–party combinations (N = 54,162), demonstrates that political parties profit electorally from being visible in both newspapers and online outlets. This is in particular true for parties that are not part of parliament yet, thus increasing the further fragmentation and division in Dutch politics. Contrary to the expectations, sentiment in online media has a negative effect, with negative coverage increasing electoral support.

Carbohydrates play essential roles in a variety of biological processes that are dictated by their structures. However, characterization of carbohydrate structures remains extremely difficult and generally unsolved. In this work, a de novo mass spectrometry-based workflow was developed to isolate and structurally elucidate oligosaccharides to provide sequence, monosaccharide compositions, and glycosidic linkage positions. The approach employs liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based methods in a 3-dimensional concept: one high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (HPLC-QTOF MS) analysis for oligosaccharide sequencing and two ultra high performance liquid chromatography-triple quadrupole mass spectrometry (UHPLC-QqQ MS) analyses on fractionated oligosaccharides to determine their monosaccharides and linkages compositions. The workflow was validated by applying the procedure to maltooligosaccharide standards. The approach was then used to determine the structures of oligosaccharides derived from polysaccharide standards and whole food products. The integrated LC-MS workflow will reveal the in-depth structures of oligosaccharides.

Maize lethal necrosis (MLN) is a new disease in Sub-Saharan Africa (SSA) caused by double infection by maize chlorotic mottle virus (MCMV) with any of the many viral agents in the Potyviridae family. It has become one of the key constraints to maize production in the region due to the significant crop losses caused since its emergence in 2011. Sustainable management of MLN is achievable through genetic improvement and replacement of old susceptible varieties with farmer-preferred varieties that combine MLN resistance with tolerance to other prevailing biotic and abiotic stresses. To effectively breed for MLN resistance, it is important to identify sources of resistance, determine the genetic nature of resistance and employ efficient breeding techniques that will result in high genetic gains from selection. This study aimed to dissect the genetic nature of MLN using elite and introduced inbred lines from tropical and temperate maize genetic pools, new biparental populations and potential hybrids. The genetic analysis was conducted in five studies representing the major stages of maize breeding, from pre-breeding to variety development. In the pre-breeding study, the breeding potential for MLN resistance among 18 tropical and temperate inbred and doubled haploid (DH) lines was conducted to identify the best parents for population development. The second study on the genetic potential and usefulness of new pedigree populations was conducted using nine segregating biparental populations derived by crossing susceptible elite and recycled DH lines to two introduced MLN resistant lines from the KS23 pool. The third study, using a section of these populations, selected three sizable populations, which were phenotyped, genotyped and used to validate quantitative trait loci (QTL) linked to MLN resistance in the KS23 genetic background. The fourth study, moving towards product development, entailed determining the potential of new lines and single crosses for use as MLN resist

Handedness has been extensively studied because of its relationship with language and the over-representation of left-handers in some neurodevelopmental disorders. Using data from the UK Biobank, 23andMe and the International Handedness Consortium, we conducted a genome-wide association meta-analysis of handedness (N = 1,766,671). We found 41 loci associated (P <5 x 10(-8)) with left-handedness and 7 associated with ambidexterity. Tissue-enrichment analysis implicated the CNS in the aetiology of handedness. Pathways including regulation of microtubules and brain morphology were also highlighted. We found suggestive positive genetic correlations between left-handedness and neuropsychiatric traits, including schizophrenia and bipolar disorder. Furthermore, the genetic correlation between left-handedness and ambidexterity is low (r(G) = 0.26), which implies that these traits are largely influenced by different genetic mechanisms. Our findings suggest that handedness is highly polygenic and that the genetic variants that predispose to left-handedness may underlie part of the association with some psychiatric disorders.A genome-wide association study of 1.7 million individuals identified 41 genetic variants associated with left-handedness and 7 associated with ambidexterity. The genetic correlation between the traits was low, thereby implying different aetiologies.

Ehlers-Danlos Syndrome (EDS) describes a group of 14 heritable connective tissue disorders that have in common joint hypermobility. The most prevalent of the subtypes is the recently reclassified hypermobile EDS (hEDS) characterized by generalized joint hypermobility, skin features such as velvety texture and/or skin hyperextensibility, and musculoskeletal pain. Secondary features include autonomic dysfunction, gastrointestinal dysfunction, and fatigue. While the most prevalent EDS subtype, hEDS is the least understood without any consensus on associated causal genes or variants. Due to its complex and heterogeneous symptomatology, we hypothesize that hEDS is a genetically heterogenous disorder but with primary causal variants and/or genes. The focus of this dissertation, as part of the hEDS GENE study led by Dr. Christina Laukaitis, is to define the updated hEDS phenotype and identify both structural and rare single nucleotide variants that contribute to the hEDS phenotype. To explore the 2017 hEDS reclassification, 148 people were enrolled in the hEDS GENE study with 98 meeting the 2017 hEDS criteria, 27 having a hypermobility spectrum disorder (HSD) and 23 being asymptomatic family members. More than 80% of the participants were female. Each participant completed seven clinal questionnaires to thoroughly describe and quantify hEDS symptomatology including the 36-Item Short Form Health Survey, a subscale of the full Patient Health Questionnaire, the Tampa Scale for Kinesiophobia, the Fatigue Severity Scale, the Epworth Sleepiness Scale, the Gastro-Questionnaire, and a short form version of the Composite Autonomic Symptom Score. We concluded that symptom frequency and severity were generally indistinguishable between participants with hEDS and HSDs with both experiencing significant decrease in health-related quality of life, however, we also observed subtle differences in autonomic symptoms between the two hypermobile groups. In participants with a clearly-defined

Primary focal hyperhidrosis (PFH, OMIM %144110) is a genetically influenced condition characterised by excessive sweating. Prevalence varies between 1.0–6.1% in the general population, dependent on ethnicity. The aetiology of PFH remains unclear but an autosomal dominant mode of inheritance, incomplete penetrance and variable phenotypes have been reported. In our study, nine pedigrees (50 affected, 53 non-affected individuals) were included. Clinical characterisation was performed at the German Hyperhidrosis Centre, Munich, by using physiological and psychological questionnaires. Genome-wide parametric linkage analysis with GeneHunter was performed based on the Illumina genome-wide SNP arrays. Haplotypes were constructed using easyLINKAGE and visualised via HaploPainter. Whole-exome sequencing (WES) with 100x coverage in 31 selected members (24 affected, 7 non-affected) from our pedigrees was achieved by next generation sequencing. We identified four genome-wide significant loci, 1q41-1q42.3, 2p14-2p13.3, 2q21.2-2q23.3 and 15q26.3-15q26.3 for PFH. Three pedigrees map to a shared locus at 2q21.2-2q23.3, with a genome-wide significant LOD score of 3.45. The chromosomal region identified here overlaps with a locus at chromosome 2q22.1-2q31.1 reported previously. Three families support 1q41-1q42.3 (LOD = 3.69), two families share a region identical by descent at 2p14-2p13.3 (LOD = 3.15) and another two families at 15q26.3 (LOD = 3.01). Thus, our results point to considerable genetic heterogeneity. WES did not reveal any causative variants, suggesting that variants or mutations located outside the coding regions might be involved in the molecular pathogenesis of PFH. We suggest a strategy based on whole-genome or targeted next generation sequencing to identify causative genes or variants for PFH.

The fundamental goal of genetics is to understand the functional effect of DNA sequence variations on a wide range of phenotypes, from basic biology to genetic diseases. Broadly, there are two major strategies to approach this goal: the first one is to find natural genetic variants underlying the trait of interest through linkage or association studies; the other is experimentally introducing genetic perturbations and assaying the effects of the perturbations in a high-throughput manner. In this dissertation, both approaches were employed to understand the effect of genetic variants. Following the first approach, we used linkage analysis to find the genetic basis of mutation rate variation in yeast. We developed a high-throughput fluctuation assay to enable quantification of spontaneous mutation rate in hundreds of yeast for the first time. We measured the mutation rate of 1040 yeast segregants from a cross between two diverge yeast strains, BY and RM. Combined with the genotype data, we performed linkage analysis in the segregants and identified four quantitative trait loci (QTLs) that contribute to the mutation rate variation in the cross. We fine-mapped two QTLs to the underlying causal genes, RAD5 and MKT1, that contribute to mutation rate variation. For the second approach, we developed three different systems to study the effect of natural variants using the genetic engineering tool CRISPR-Cas9. We constructed ten different CRISPR-Cas9 base editor systems for yeast, aiming to expand the targetable regions and the base converting types by using different base editors. We measured the efficiency of ten base editors in yeast from amplicon sequencing results at ten different sites along the genome and found one base editor that recognized the protospacer adjacent motif (PAM) site NGA with high efficiency. In addition to CRISPR base editor, we constructed a precise genome editing system with trackable genome integrated barcode using CRISPR-Cas9 with gRNA and donor

Colorectal cancer (CRC) is a complex disorder for which the majority of the underlying germline predisposition factors remain still unidentified. Here, we combined whole-exome sequencing (WES) and linkage analysis in families with multiple relatives affected by CRC to identify candidate genes harboring rare variants with potential high-penetrance effects. Forty-seven affected subjects from 18 extended CRC families underwent WES. Genome-wide linkage analysis was performed under linear and exponential models. Suggestive linkage peaks were identified on chromosomes 1q22-q24.2 (maxSNP = rs2134095; LODlinear = 2.38, LODexp = 2.196), 7q31.2-q34 (maxSNP = rs6953296; LODlinear = 2.197, LODexp = 2.149) and 10q21.2-q23.1 (maxSNP = rs1904589; LODlinear = 1.445, LODexp = 2.195). These linkage signals were replicated in 10 independent sets of random markers from each of these regions. To assess the contribution of rare variants predicted to be pathogenic, we performed a family-based segregation test with 89 rare variants predicted to be deleterious from 78 genes under the linkage intervals. This analysis showed significant segregation of rare variants with CRC in 18 genes (weighted p-value > 0.0028). Protein network analysis and functional evaluation were used to suggest a plausible candidate gene for germline CRC predisposition. Etiologic rare variants implicated in cancer germline predisposition may be identified by combining traditional linkage with WES data. This approach can be used with already available NGS data from families with several sequenced members to further identify candidate genes involved germline predisposition to disease. This approach resulted in one candidate gene associated with increased risk of CRC but needs evidence from further studies.

OBJECTIVES: To perform individual record linkage of women undergoing screening with cell-free DNA (cfDNA), combined first-trimester screening (CFTS), second-trimester serum screening (STSS), and/or prenatal and postnatal cytogenetic testing with the aim to (1) obtain population-based estimates of utilization of prenatal screening and invasive diagnosis, (2) analyze the performance of different prenatal screening strategies, and (3) report the residual risk of any major chromosomal abnormality following a low-risk aneuploidy screening result. METHOD(S): This was a retrospective study of women residing in the state of Victoria, Australia, who underwent prenatal screening or invasive prenatal diagnosis in 2015. Patient-funded cfDNA referrals from multiple providers were merged with state-wide results for government-subsidized CFTS, STSS and invasive diagnostic procedures. Postnatal cytogenetic results from products of conception and infants up to 12months of age were obtained to ascertain cases of false-negative screening results and atypical chromosomal abnormalities. Individual record linkage was performed using LinkageWizTM . RESULT(S): During the study period, there were 79140 births and 66166 (83.6%) women underwent at least one form of aneuploidy screening. Linkage data were complete for 93.5% (n=61877) of women who underwent screening, and of these, 73.2% (n=45275) had CFTS alone, 20.2% (n=12486) had cfDNA alone; 5.3% (n=3268) had STSS alone, 1.3% (n=813) had both CFTS and cfDNA, and <0.1% (n=35) had both STSS and cfDNA. CFTS had a combined sensitivity for trisomies 21 (T21), 18 (T18) and 13 (T13) of 89.57% (95%CI, 82.64-93.93%) for a screen-positive rate (SPR) of 2.94%. There were 12 false-negative results in the CFTS pathway, comprising 10 cases of T21, one of T18 and one of T13. cfDNA had a combined sensitivity for T21, T18 and T13 of 100% (95%CI, 95.00-100%) for a SPR of 1.21%. When high-risk cfDNA results for any chromosome (including the sex chromosomes) a

Background & Aims: Protease inhibitors (PIs) are of central importance in the treatment of patients with chronic hepatitis C virus (HCV) infection. HCV NS3 protease (NS3P) position 80 displays polymorphisms associated with resistance to the PI simeprevir for HCV genotype 1a. We investigated the effects of position-80-substitutions on fitness and PI-resistance for HCV genotypes 1-6, and analyzed evolutionary mechanisms underlying viral escape mediated by pre-existing Q80K. Methods: The fitness of infectious NS3P recombinants of HCV genotypes 1-6, with engineered position-80-substitutions, was studied by comparison of viral spread kinetics in Huh-7.5 cells in culture. Median effective concentration (EC50) and fold resistance for PIs simeprevir, asunaprevir, paritaprevir, grazoprevir, glecaprevir and voxilaprevir were determined in short-term treatment assays. Viral escape was studied by long-term treatment of genotype 1a recombinants with simeprevir, grazoprevir, glecaprevir and voxilaprevir and of genotype 3a recombinants with glecaprevir and voxilaprevir, next generation sequencing, NS3P substitution linkage and haplotype analysis. Results: Among tested PIs, only glecaprevir and voxilaprevir showed pan-genotypic activity against the original genotype 1-6 culture viruses. Variants with position-80-substitutions were all viable, but fitness depended on the specific substitution and the HCV isolate. Q80K conferred resistance to simeprevir across genotypes but had only minor effects on the activity of the remaining PIs. For genotype 1a, pre-existing Q80K mediated accelerated escape from simeprevir, grazoprevir and to a lesser extent glecaprevir, but not voxilaprevir. For genotype 3a, Q80K mediated accelerated escape from glecaprevir and voxilaprevir. Escape was mediated by rapid and genotype-, PI- and PI-concentration-dependent co-selection of clinically relevant resistance associated substitutions. Conclusions: Position-80-substitutions had relatively low fitnes

Recombination arrest is a necessary step for the evolution of distinct sex chromosomes. Structural changes, such as inversions, may represent the mechanistic basis for recombination suppression and comparisons of the structural organization of chromosomes as given by chromosome-level assemblies offer the possibility to infer inversions across species at some detail. In birds, deduction of the process of sex chromosome evolution has been hampered by the lack of a validated chromosome-level assembly from a representative of one of the two basal clades of modern birds, Paleognathae. We therefore developed a high-density genetic linkage map of the ostrich Z chromosome and used this to correct an existing assembly, including correction of a large chimeric superscaffold and the order and orientation of other superscaffolds. We identified the pseudoautosomal region as a 52 Mb segment (approximate to 60% of the Z chromosome) where recombination occurred in both sexes. By comparing the order and location of genes on the ostrich Z chromosome with that of six bird species from the other major Glade of birds (Neognathae), and of reptilian outgroup species, 25 Z-linked inversions were inferred in the avian lineages. We defined Z chromosome organization in an early avian ancestor and identified inversions spanning the candidate sex-determining DMRT1 gene in this ancestor, which could potentially have triggered the onset of avian sex chromosome evolution. We conclude that avian sex chromosome evolution has been characterized by a complex process of probably both Z-linked and W-linked inversions (and/or other processes). This study illustrates the need for validated chromosome-level assemblies for inference of genome evolution.

Fragile X syndrome (FXS) is usually associated with a CGG repeat expansion >200 repeats within the FMR1 gene, known as a full mutation (FM). FM alleles produce abnormal methylation of the FMR1 promoter with reduction or silencing of FMR1 gene expression. Furthermore, premutation (PM: 55-199 CGGs) and full mutation alleles usually expand in size when maternally transmitted to progeny. This study describes a PM allele carried by the mother decreasing to a normal sized allele in a male from a dichorionic diamniotic (DCDA) twin pregnancy, with the female twin inheriting FM (200-790 CGGs), PM (130 CGGs) and normal-sized (39 CGGs) alleles. Further evidence of instability of the maternal PM allele was shown by a male proband (older brother) mosaic for PM (CGG 78 and 150 CGGs) and FM (200-813 CGGs), and a high level of FMR1 promoter methylation, between 50 and 70%, in multiple tissues. The fully-retracted, normal-sized allele was identified by PCR CGG sizing in the male twin, with no evidence of a FM allele identified using Southern blot analysis in multiple tissues collected postnatally and prenatally. Consistent with this, prenatal PCR sizing (35 CGGs) showed inconsistent inheritance of the maternal normal allele (30 CGGs), with single-nucleotide polymorphism (SNP) linkage analysis confirming that the abnormal FMR1 chromosome had been inherited from the mother's PM chromosome. Importantly, the male twin showed no significant hypermethylation of the FMR1 promoter in all pre and postnatal tissues tested, as well as normal levels of FMR1 mRNA in blood. In summary, this report demonstrates the first postnatal follow up of a prenatal case in which FMR1 mRNA levels were approaching normal, with normal levels of FMR1 promoter methylation and normal CGG size in multiple pre and postnatally collected tissues.Copyright © 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Background: Multiple sclerosis (MS) is a complex disease resulting from the joint effect of many genes. It has been speculated that rare variants might explain part of the missing heritability of MS. Objective: To identify rare coding genetic variants by analyzing a large MS pedigree with 11 affected individuals in several generations. Methods: Genome-wide linkage screen and whole exome sequencing (WES) were performed to identify novel coding variants in the shared region(s) and in the known 110 MS risk loci. The candidate variants were then assessed in 591 MS patients and 3169 controls. Results: Suggestive evidence for linkage was obtained to 7q11.22-q11.23. In WES data, a rare missense variant p.R183C in FKBP6 was identified that segregated with the disease in this family. The minor allele frequency was higher in an independent cohort of MS patients than in healthy controls (1.27% vs 0.95%), but not significant (odds ratio (OR) = 1.33 (95% confidence interval (CI): 0.8–2.4), p = 0.31). Conclusion: The rare missense variant in FKBP6 was identified in a large Dutch MS family segregating with the disease. This association to MS was not found in an independent MS cohort. Overall, genome-wide studies in larger cohorts are needed to adequately investigate the role of rare variants in MS risk.

A livestock population can be characterized by different population genetic parameters, such as linkage disequilibrium and recombination rate between pairs of genetic markers. The population structure, which may be caused by family stratification, has an influence on the estimates of these parameters. An expectation maximization algorithm has been proposed for estimating these parameters in half-sibs without phasing the progeny. It, however, overlooks the fact that the underlying likelihood function may have two maxima. The magnitudes of the maxima depend on the maternal allele frequencies at the investigated marker pair. Which maximum the algorithm converges to depends on the chosen start values. We present a stepwise procedure in which the relationship between the two modes is exploited. The expectation maximization algorithm for the parameter estimation is applied twice using different start values, followed by a decision process to assess the most likely estimate. This approach was validated using simulated genotypes of half-sibs. It was also applied to a dairy cattle dataset consisting of multiple half-sib families and 39,780 marker genotypes, leading to estimates for 12,759,713 intrachromosomal marker pairs. Furthermore, the proper order of markers was verified by studying the mean of estimated recombination rates in a window adjacent to the investigated locus as well as in a window at its most distant chromosome end. Putatively misplaced markers or marker clusters were detected by comparing the results with the revised bovine genome assembly UMD 3.1.1. In total, 40 markers were identified as candidates of misplacement. This outcome may help improving the physical order of markers which is also required for refining the bovine genetic map.

Parkinson’s disease (PD) is the second most common neurodegenerative disorder and affects over 1% of people above the age of 65. This progressive and debilitating disease is usually thought of as a motor disease, with symptoms such as muscle rigidity, slowness of movement, and tremor at rest.PD can be familial, where a single inherited gene mutation causes the disease, but most cases of PD (90%) are idiopathic and complex, with both genetic and environmental components contributing to disease etiology. Both forms are characterized by degeneration of dopaminergic neurons in the midbrain and by the accumulation of a protein called alpha-synuclein (α-syn) inside neurons. The complexity of idiopathic PD makes it challenging to have a full understanding of its possible causes. Current treatments can only temporarily alleviate symptoms by compensating for the loss of dopamine, but do nothing to slow the progression of the disease. Therefor, there is a need for new therapeutic strategies that can halt, or even prevent disease progression. In order to achieve this, a better understanding of the genetic risk factors contributing to PD is necessary.This thesis is aimed at reaching this goal by investigating genetic susceptibility to neurodegeneration in three different rodent models modeling idiopathic PD, with naturally-occurring variation as a key factor.We first explored differences between six rat strains after exposure to PD-like conditions produced by overexpression of α-syn in the substantia nigra pars compacta to determine strain-dependent susceptibility to neurodegeneration. Our results do indeed show differences among strains in response to this model, both in terms of dopaminergic cell loss and in terms of movement behavior. We can therefor conclude that there are genetic risk factors involved in the susceptibility to α-syn accumulation in these rats, and further genetic analyses can be used to determine such factors.Then we applied a method called linkage analysis

Most non-BRCA1/2 breast cancer families have no identified genetic cause. We used linkage and haplotype analyses in familial and sporadic breast cancer cases to identify a susceptibility locus on chromosome 6q. Two independent genome-wide linkage analysis studies suggested a 3 Mb locus on chromosome 6q and two unrelated Swedish families with a LOD > 2 together seemed to share a haplotype in 6q14.1. We hypothesized that this region harbored a rare high-risk founder allele contributing to breast cancer in these two families. Sequencing of DNA and RNA from the two families did not detect any pathogenic mutations. Finally, 29 SNPs in the region were analyzed in 44,214 cases and 43,532 controls from BCAC, and the original haplotypes in the two families were suggested as low-risk alleles for European and Swedish women specifically. There was also some support for one additional independent moderate-risk allele in Swedish familial samples. The results were consistent with our previous findings in familial breast cancer and supported a breast cancer susceptibility locus at 6q14.1 around the PHIP gene.

Sugarcane bagasse and straw are generated in large volumes as by-products of agro-industrial production. They are an emerging valuable resource for the generation of hemicellulose-based materials and products, since they contain significant quantities of xylans (often twice as much as in hardwoods). Heteroxylans (yields of ca 20% based on xylose content in sugarcane bagasse and straw) were successfully isolated and purified using mild delignification followed by dimethyl sulfoxide (DMSO) extraction. Delignification with peracetic acid (PAA) was more efficient than traditional sodium chlorite (NaClO2) delignification for xylan extraction from both biomasses, resulting in higher extraction yields and purity. We have shown that the heteroxylans isolated from sugarcane bagasse and straw are acetylated glucuronoarabinoxylans (GAX), with distinct molecular structures. Bagasse GAX had a slightly lower glycosyl substitution molar ratio of Araf to Xylp to (0.5:10) and (4-O-Me)GlpA to Xylp (0.1:10) than GAX from straw (0.8:10 and 0.1:10 respectively), but a higher degree of acetylation (0.33 and 0.10, respectively). A higher frequency of acetyl groups substitution at position α-(1 → 3) (Xyl-3Ac) than at position α-(1 → 2) (Xyl-2Ac) was confirmed for both bagasse and straw GAX, with a minor ratio of diacetylation (Xyl-2,3Ac). The size and molecular weight distributions for the acetylated GAX extracted from the sugarcane bagasse and straw were analyzed using multiple-detection size-exclusion chromatography (SEC-DRI-MALLS). Light scattering data provided absolute molar mass values for acetylated GAX with higher average values than did standard calibration. Moreover, the data highlighted differences in the molar mass distributions between the two isolation methods for both types of sugarcane GAX, which can be correlated with the different Araf and acetyl substitution patterns. We have developed an empirical model for the molecular structure of acetylated GAX extracted from sugarc, Funding Details: 621-2014-5295, VR, Swedish Research Council. QC 20161107

Sex influences risk for opioid dependence (OD). We hypothesized that sex might interact with genetic loci that influence the risk for OD. Therefore we performed an analysis to identify sex-specific genomic susceptibility regions for OD using linkage. Over 6,000 single nucleotide polymorphism (SNP) markers were genotyped for 1,758 African- and European-American (AA and EA) individuals from 739 families, ascertained via affected sib-pairs with OD and/or cocaine dependence. Autosomewide non-parametric linkage scans, stratified by sex and population, were performed. We identified one significant linkage region, segregating with OD in EA men, at 71.1 cM on chromosome 4 (LOD = 3.29; point-wise P = 0.00005; empirical autosome-wide P = 0.042), which significantly differed from the linkage signal at the same location in EA women (empirical P = 0.002). Three suggestive linkage signals were identified at 181.3 cM on chromosome 7 (LOD = 2.18), 104 cM on chromosome 11 (LOD = 1.85), and 60.9 cM on chromosome 16 (LOD = 1.93) in EA women. In AA men, four suggestive linkage signals were detected at 201.1 cM on chromosome 3 (LOD = 2.32), 152.9 cM on chromosome 6 (LOD = 1.86), 16.8 cM on chromosome 7 (LOD = 1.95), and 36.1 cM on chromosome 17 (LOD = 1.99). The significant region, mapping to 4q12-4q13.1, harbors several OD candidate genes with interconnected functionality, including VEGFR, CLOCK, PDCL2, NMU, NRSF, and IGFBP7. In conclusion, these results provide an evidence for the existence of sex-specific and population-specific differences in OD. Furthermore, these results provide positional information that will facilitate the use of targeted next-generation sequencing to search for genes that contribute to sex-specific differences in OD. © 2016 Wiley Periodicals, Inc.

Campylobacter jejuni is a leading human enteric pathogen worldwide and despite an improved understanding of its biology, ecology, and epidemiology, limited tools exist for identifying strains that are likely to cause disease. In the current study, we used subtyping data in a database representing over 24,000 isolates collected through various surveillance projects in Canada to identify 166 representative genomes from prevalent C. jejuni subtypes for whole genome sequencing. The sequence data was used in a genome-wide association study (GWAS) aimed at identifying accessory gene markers associated with clinically related C. jejuni subtypes. Prospective markers (n=28) were then validated against a large number (n=3,902) of clinically associated and non-clinically associated genomes from a variety of sources. A total of 25 genes, including six sets of genetically linked genes, were identified as robust putative diagnostic markers for clinically related C. jejuni subtypes. Although some of the genes identified in this study have been previously shown to play a role in important processes such as iron acquisition and vitamin B5 biosynthesis, others have unknown function or are unique to the current study and warrant further investigation. As few as four of these markers could be used in combination to detect up to 90% of clinically associated isolates in the validation dataset, and such markers could form the basis for a screening assay to rapidly identify strains that pose an increased risk to public health. The results of the current study are consistent with the notion that specific groups of C. jejuni strains of interest are defined by the presence of specific accessory genes.

Insertions and deletions (INDELs) represent a significant fraction of interindividual variation in the human genome yet their contribution to phenotypes is poorly understood. To confirm the quality of imputed INDELs and investigate their roles in mediating cardiometabolic phenotypes, genome-wide association and linkage analyses were performed for 15 phenotypes with 1,273,952 imputed INDELs in 1,024 Mexican-origin Americans. Imputation quality was validated using whole exome sequencing with an average kappa of 0.93 in common INDELs (minor allele frequencies [MAFs] ≥ 5%). Association analysis revealed one genome-wide significant association signal for the cholesterylester transfer protein gene (CETP) with high-density lipoprotein levels (rs36229491, P = 3.06 × 10-12 ); linkage analysis identified two peaks with logarithm of the odds (LOD) > 5 (rs60560566, LOD = 5.36 with insulin sensitivity (SI ) and rs5825825, LOD = 5.11 with adiponectin levels). Suggestive overlapping signals between linkage and association were observed: rs59849892 in the WSC domain containing 2 gene (WSCD2) was associated and nominally linked with SI (P = 1.17 × 10-7 , LOD = 1.99). This gene has been implicated in glucose metabolism in human islet cell expression studies. In addition, rs201606363 was linked and nominally associated with low-density lipoprotein (P = 4.73 × 10-4 , LOD = 3.67), apolipoprotein B (P = 1.39 × 10-3 , LOD = 4.64), and total cholesterol (P = 1.35 × 10-2 , LOD = 3.80) levels. rs201606363 is an intronic variant of the UBE2F-SCLY (where UBE2F is ubiquitin-conjugating enzyme E2F and SCLY is selenocysteine lyase) fusion gene that may regulate cholesterol through selenium metabolism. In conclusion, these results confirm the feasibility of imputing INDELs from array-based single nucleotide polymorphism (SNP) genotypes. Analysis of these variants using association and linkage replicated previously identified SNP signals and identified multiple novel INDEL signals. These results

Most non-BRCA1/2 breast cancer families have no identified genetic cause. We used linkage and haplotype analyses in familial and sporadic breast cancer cases to identify a susceptibility locus on chromosome 6q. Two independent genome-wide linkage analysis studies suggested a 3 Mb locus on chromosome 6q and two unrelated Swedish families with a LOD >2 together seemed to share a haplotype in 6q14.1. We hypothesized that this region harbored a rare high-risk founder allele contributing to breast cancer in these two families. Sequencing of DNA and RNA from the two families did not detect any pathogenic mutations. Finally, 29 SNPs in the region were analyzed in 44,214 cases and 43,532 controls from BCAC, and the original haplotypes in the two families were suggested as low-risk alleles for European and Swedish women specifically. There was also some support for one additional independent moderate-risk allele in Swedish familial samples. The results were consistent with our previous findings in familial breast cancer and supported a breast cancer susceptibility locus at 6q14.1 around the PHIP gene.

BackgroundBody mass index (BMI) has been implicated as a primary factor influencing cancer development. However, understanding the relationship between these two complex traits has been confounded by both environmental and genetic heterogeneity.MethodsIn order to gain insight into the genetic factors linking BMI and cancer, we performed chemical carcinogenesis on a genetically heterogeneous cohort of interspecific backcross mice ((Mus Spretus × FVB/N) F1 × FVB/N). Using this cohort, we performed quantitative trait loci (QTL) analysis to identify regions linked to BMI. We then performed an integrated analysis incorporating gene expression, sequence comparison between strains, and gene expression network analysis to identify candidate genes influencing both tumor development and BMI.ResultsAnalysis of QTL linked to tumorigenesis and BMI identified several loci associated with both phenotypes. Exploring these loci in greater detail revealed a novel relationship between the Pannexin 3 gene (Panx3) and both BMI and tumorigenesis. Panx3 is positively associated with BMI and is strongly tied to a lipid metabolism gene expression network. Pre-treatment Panx3 gene expression levels in normal skin are associated with tumor susceptibility and inhibition of Panx function strongly influences inflammation.ConclusionsThese studies have identified several genetic loci that influence both BMI and carcinogenesis and implicate Panx3 as a candidate gene that links these phenotypes through its effects on inflammation and lipid metabolism.

Three recombinant inbred populations (RIP-1, RIP-7 and RIP-10) were used to validate and saturate the target area involved in the resistance to Fusarium oxysporum f.sp. ciceris race 0 (Foc0) in chickpeas. With the aim of physically localizing the genetic area controlling Foc0 resistance, a new genetic map of the linkage group 5 (LG5) and a physical map of the Ca5 pseudomolecule were drawn up and compared. The genetic and physical between CaGM20820 and CaGM20889 (16759541–17501349 bp) within an interval of 2 cM comprising 27 annotated genes. Only two of the annotated genes in this region could mapping results obtained were useful to refine the position of the target area be involved in resistance mechanisms. The three RIPs were used to develop three pairs of near isogenic lines (NILs) for resistance/susceptibility to Foc0. NILs are a valuable tool for fine mapping, refining the target region and selecting candidate genes for resistance to Foc0. The information reported in this paper will help develop diagnostic markers, considered useful tools for MAS in chickpea breeding programs.

Background: Known breast cancer-predisposing genes account for fewer than 25% of all familial breast cancer cases and further studies are required to find the remaining high-and moderate-risk genes. We set-out to couple linkage analysis using microsatellite marker data and sequence analysis of linked regions in 13 non-BRCA1/2 families in order to find novel susceptibility loci and high-penetrant genes. Materials and Methods: Genotyping with 540 fluorescently-labeled microsatellite markers located on the 23 chromosomes at 7.25 cM resolution was used for primary linkage analysis and an additional 40 markers were used for fine-mapping of loci with a logarithm of odds (LOD) or heterogeneity LOD (HLOD) score greater than one. Whole-exome sequencing data of 28 members from all 13 families were used for the bioinformatics sequence analysis on the linked regions of these families. Results: Linkage analysis identified three loci on chromosome 18q as a putative region of interest (overall LOD=1, HLOD=1.2). Sequencing analysis of the three linked regions on 18q and mutation prediction algorithms did reveal three probable damaging variants. Conclusion: Overall, our study identified three weakly linked loci on 18q and three probable damaging variants of interest in the 13 families with breast cancer.

Background: The genetic background to bipolar disorder (BPD) has been attributed to different genetic and genomic risk factors. In the present study we hypothesized that inherited copy number variations (CNVs) contribute to susceptibility of BPD. We screened 637 BP-pedigrees from the NIMH Genetic Initiative and gave priority to 46 pedigrees. In this subsample we performed parametric and non-parametric genome-wide linkage analyses using similar to 21,000 SNP-markers. We developed an algorithm to test for linkage restricted to regions with CNVs that are shared within and across families. Results: For the combined CNV and linkage analysis, one region on 19q13 survived correction for multiple comparisons and replicates a previous BPD risk locus. The shared CNV map to the pregnancy-specific glycoprotein (PSG) gene, a gene-family not previously implicated in BPD etiology. Two SNPs in the shared CNV are likely transcription factor binding sites and are linked to expression of an F-box binding gene, a key regulator of neuronal pathways suggested to be involved in BPD etiology. Conclusions: Our CNV-weighted linkage approach identifies a risk locus for BPD on 19q13 and forms a useful tool to future studies to unravel part of the genetic vulnerability to BPD.

Electrocardiogram (ECG) measurements are a powerful tool for evaluating cardiac function and are widely used for the diagnosis and prediction of a variety of conditions, including myocardial infarction, cardiac arrhythmias, and sudden cardiac death. Recently, genome-wide association studies (GWASs) identified a large number of genes related to ECG parameter variability, specifically for the QT, QRS, and PR intervals. The aims of this study were to establish the heritability of ECG traits, including indices of left ventricular hypertrophy, and to directly assess the proportion of those heritabilities explained by GWAS variants. These analyses were conducted in a large, Dutch family-based cohort study, the Erasmus Rucphen Family study using variance component methods implemented in the SOLAR (Sequential Oligogenic Linkage Analysis Routines) software package. Heritability estimates ranged from 34 % for QRS and Cornell voltage product to 49 % for 12-lead sum. Trait-specific GWAS findings for each trait explained a fraction of their heritability (17 % for QRS, 4 % for QT, 2 % for PR, 3 % for Sokolow–Lyon index, and 4 % for 12-lead sum). The inclusion of all ECG-associated single nucleotide polymorphisms explained an additional 6 % of the heritability of PR. In conclusion, this study shows that, although GWAS explain a portion of ECG trait variability, a large amount of heritability remains to be explained. In addition, larger GWAS for PR are likely to detect loci already identified, particularly those observed for QRS and 12-lead sum. © 2015, The Author(s).

Case linkage is the process of determining which specific crimes from a series of potentially related crimes are the work of one offender or offender group (gang). The practice is highly idiosyncratic and relies heavily on the education, training, and experience of the analyst doing the linkage. Whatever the analyst's background, there are essentially two component behaviors that are examined in order to make a determination. The first is modus operandi and refers to those things which the offender did that were necessary for the successful completion of the crime. The second is signature, which refers to those things not necessary for the successful completion of the crime. The first is strictly functional, such as wearing gloves or concealing identity, and the second is related to fantasy, and is stated to be more unique to individual offenders. This chapter will examine the research on case linkage and close with a suggested approach.

Missense and frameshift mutations in TRAF family member-associated NF-kappa-B activator (TANK)-binding kinase 1 (TBK1) have been reported in European sporadic and familial amyotrophic lateral sclerosis (ALS) cohorts. To assess the role of TBK1 in ALS patient cohorts of wider ancestry, we have analyzed whole-exome sequence data from an Australian cohort of familial ALS (FALS) patients and controls. We identified a novel TBK1 deletion (c.1197delC) in a FALS patient of Chinese origin. This frameshift mutation (p.L399fs) likely results in a truncated protein that lacks functional domains required for adapter protein binding, as well as protein activation and structural integrity. No novel or reported TBK1 mutations were identified in FALS patients of European ancestry. This is the first report of a TBK1 mutation in an ALS patient of Asian origin and indicates that sequence variations in TBK1 are a rare cause of FALS in Australia. © 2015 Elsevier Inc.

Cerebral dominance of language function and hand preference are suggested to be heritable traits with possible shared genetic background. However, joined genetic studies of these traits have never been conducted. We performed a genetic linkage study in 37 multigenerational human pedigrees of both sexes (consisting of 355 subjects) enriched with left-handedness in which we also measured language lateralization. Hand preference was measured with the Edinburgh Handedness Inventory, and language lateralization was measured with functional transcranial Doppler during language production. The estimated heritability of left-handedness and language lateralization in these pedigrees is 0.24 and 0.31, respectively. A parametric major gene model was tested for left-handedness. Nonparametric analyses were performed for left-handedness, atypical lateralization, and degree of language lateralization. We did not observe genome-wide evidence for linkage in the parametric or nonparametric analyses for any of the phenotypes tested. However, multiple regions showed suggestive evidence of linkage. The parametric model showed suggestive linkage for left-handedness in the 22q13 region [heterogeneity logarithm of odds (HLOD) = 2.18]. Nonparametric multipoint analysis of left-handedness showed suggestive linkage in the same region [logarithm of odds (LOD) = 2.80]. Atypical language lateralization showed suggestive linkage in the 7q34 region (LODMax = 2.35). For strength of language lateralization, we observed suggestive linkage in the 6p22 (LODMax = 2.54), 7q32 (LODMax = 1.93), and 9q33 (LODMax = 2.10) regions. We did not observe any overlap of suggestive genetic signal between handedness and the extent of language lateralization. The absence of significant linkage argues against the presence of a major gene coding for both traits; rather, our results are suggestive of these traits being two independent polygenic complex traits.

BACKGROUND: Sex determination mechanisms are known to be evolutionarily labile but the factors driving transitions in sex determination mechanisms are poorly understood. All insects of the Hymenoptera are haplodiploid, with males normally developing from unfertilized haploid eggs. Under complementary sex determination (CSD), diploid males can be produced from fertilized eggs that are homozygous at the sex locus. Diploid males have near-zero fitness and thus represent a genetic load, which is especially severe under inbreeding. Here, we study mating structure and sex determination in the parasitoid Cotesia vestalis to investigate what may have driven the evolution of two complementary sex determination loci in this species. RESULTS: We genotyped Cotesia vestalis females collected from eight fields in four townships in Western Taiwan. 98 SNP markers were developed by aligning Illumina sequence reads of pooled DNA of eight different females against a de novo assembled genome of C. vestalis. This proved to be an efficient method for this non-model species and provides a resource for future use in related species. We found significant genetic differentiation within the sampled population but variation could not be attributed to sampling locations by AMOVA. Non-random mating was detected, with 8.1% of matings between siblings. Diploid males, detected by flow cytometry, were produced at a rate of 1.4% among diploids. CONCLUSIONS: We think that the low rate of diploid male production is best explained by a CSD system with two independent sex loci, supporting laboratory findings on the same species. Fitness costs of diploid males in C. vestalis are high because diploid males can mate with females and produce infertile triploid offspring. This severe fitness cost of diploid males combined with non-random mating may have resulted in evolution from single locus CSD to CSD with two independent loci

A recombinant inbred line population (RIP-9) derived from an interspecific cross (ILC72 × Cr5-10) was evaluated for growth habit during 2 years (2003 and 2004). This RIP was used to develop a pair of near isogenic lines (NILs) for erect vs prostrate growth habit in chickpea. Molecular characterization of the identified pair of NILs was performed using 52 sequence tagged microsatellite site markers distributed over different chickpea linkage groups (CaLG) of the genetic map. It revealed polymorphic markers in CaLG1 and CaLG3. Starting from a previous data base simple linear regression was applied to detect association between markers and growth habit. The RAPD (random amplified polymorphic DNA) marker OPAD091053 mapped on CaLG1 explained the highest percentage (maximum 15.4 %) of the total phenotypic variation for growth habit and it was used to develop a SCAR (sequence characterized amplified region) marker (SCAD091053). New markers were developed from sequences surrounding SCAD091053 in the physical map. QTL (quantitative trait loci) analysis revealed a new QTL (QTLHg2) in CaLG1. The Indel marker (deletion/insertion) Indel 3 and the predicted gene Ca_07000 (14,5 Mb of Ca1) and (15,3 Mb of Ca1) had the highest LOD values explaining 24.6 and 23.4 % of the phenotypic variation in years 2003 and 2004, respectively. To confirm these results, another RIP (RIP-5) derived from an intraspecific cross (WR315 × ILC3279) and segregating for erect vs semi-erect growth habit was employed. RIP-5 allowed mapping the gene (Hg2/hg2) on CaLG1 that was flnaked by two Indel markers (Indel 1 and Indel 2) in the range of 12,3 and 16,2 Mb. So, Hg2/hg2 gene corresponds to QTLHg2 region. The annotated genes Ca_07000 and Ca_06999 were homologues to predicted zinc finger genes in Glycine max and Pisum sativum, respectively. Hence, they could be considered as possible candidate genes.

Under the VAT, formal traders report their purchases to the administration for a deduction in their VAT bill. This paper models this third-party reporting feature of the VAT in an input-output economy and quantifies it among different activities using a forward linkages index. The administration can reduce the size of shadow economy by reallocating visiting audits to backwardly linked activities and cross-checking VAT payments with input credit claims in forwardly linked activities. Empirical evidence from Indian service sector justifies the assumptions and suggests a significant increase in the tax compliance of forwardly linked activities following VAT adoption in 2003.

We have created an informative set of high risk lethal prostate cancer pedigrees and recurrent prostate cancer cases. Linkage analysis has identified significant evidence for linkage several chromosomes; these findings will be followed with sequence analysis. We have begun sequence analysis and identified a set of candidate genes in a set of 6 pairs of lethal prostate cancer cases sequenced. We have begun GWAS analysis on our set of deeply phenotypes recurrent cases and have identified some significant findings. Manuscript preparation is underway. Identification of genes predisposing to recurrent/lethal prostate cancer from this study will validate this powerful approach, which can be extended to other high risk prostate cancer pedigrees, and will identify genes and pathways that can be further examined to expand our knowledge of prostate cancer genetics., The original document contains color images.

BackgroundAutism spectrum disorders (ASDs) are male-biased and genetically heterogeneous. While sequencing of sporadic cases has identified de novo risk variants, the heritable genetic contribution and mechanisms driving the male bias are less understood. Here, we aimed to identify familial and sex-differential risk loci in the largest available, uniformly ascertained, densely genotyped sample of multiplex ASD families from the Autism Genetics Resource Exchange (AGRE), and to compare results with earlier findings from AGRE.MethodsFrom a total sample of 1,008 multiplex families, we performed genome-wide, non-parametric linkage analysis in a discovery sample of 847 families, and separately on subsets of families with only male, affected children (male-only, MO) or with at least one female, affected child (female-containing, FC). Loci showing evidence for suggestive linkage (logarithm of odds ≥2.2) in this discovery sample, or in previous AGRE samples, were re-evaluated in an extension study utilizing all 1,008 available families. For regions with genome-wide significant linkage signal in the discovery stage, those families not included in the corresponding discovery sample were then evaluated for independent replication of linkage. Association testing of common single nucleotide polymorphisms (SNPs) was also performed within suggestive linkage regions.ResultsWe observed an independent replication of previously observed linkage at chromosome 20p13 (P < 0.01), while loci at 6q27 and 8q13.2 showed suggestive linkage in our extended sample. Suggestive sex-differential linkage was observed at 1p31.3 (MO), 8p21.2 (FC), and 8p12 (FC) in our discovery sample, and the MO signal at 1p31.3 was supported in our expanded sample. No sex-differential signals met replication criteria, and no common SNPs were significantly associated with ASD within any identified linkage regions.ConclusionsWith few exceptions, analyses of subsets of families from the AGRE cohort identify different

Osteoporosis is a common disease affecting a significant proportion of older people. Its primary endpoint, fracture,results in severe outcomes including increased morbidity and early mortality. Bone mineral density (BMD) andquantitative ultrasound (QUS), both quantitative traits, are strong predictors of osteoporosis and fracture risk.Furthermore, they, along with osteoporosis and fracture, have been shown to be under genetic influence, indicatingthat quantitative trait loci (QTLs) may be responsible for the variation observed in each of these traits.In this thesis, I used data from the Dubbo Osteoporosis Genetics Study – a large family-based study – togetherwith data from the Dubbo Osteoporosis Epidemiology Study to examine the genetic nature of osteoporosis and itsunderlying traits, and to identify potential QTLs influencing them.Using quantitative genetics analyses I have identified the extent to which each of the traits measured areinfluenced by genetic and environmental factors. I further examine the extent to which separate osteoporosis traitsare influenced by the same sets of genetic factors, and do the same for these traits in unison with body mass index(BMI), the primary measure of obesity. I also estimate the heritability of osteoporosis traits using actual geneticdata rather than traditional assumptions. Finally, by performing a whole-genome linkage analysis I have identifiedmultiple QTLs influencing osteoporosis traits, some of which may act in gender- and age-specific manners.Overall, this work contributes to the existing body of work examining the genetics of osteoporosis. Ultimately, theidentification of genes and genetic factors influencing bone traits will aid in the treatment and prevention ofosteoporosis and fracture.

Our initial linkage analysis identified a significant linkage on chromosome 11 and a manuscript is in preparation. We will now collaborate (with other funding) to begin sequence analysis of the regions of interest. We have expanded our identification of high-risk pedigrees and identified an additional 192 samples in new high risk pedigrees soon to be genotyped. Some of these samples extend previously identified pedigrees with linkage evidence. We have begun sequence analysis of 34 lethal prostate cancer cases and identified a set of candidate genes in a set of 6 pairs of lethal prostate cancer cases sequenced. Identification of genes predisposing to recurrent/lethal prostate cancer from this study will validate this powerful approach, which can be extended to other high risk prostate cancer pedigrees, and will identify genes and pathways that can be further examined to expand our knowledge of prostate cancer genetics., The original document contains color images.

We have generated an ultra-high-density genetic map for lettuce, an economically important member of the Compositae, consisting of 12,842 unigenes (13,943 markers) mapped in 3696 genetic bins distributed over nine chromosomal linkage groups. Genomic DNA was hybridized to a custom Affymetrix oligonucleotide array containing 6.4 million features representing 35,628 unigenes of Lactuca spp. Segregation of single-position polymorphisms was analyzed using 213 F7:8 recombinant inbred lines that had been generated by crossing cultivated Lactuca sativa cv. Salinas and L. serriola acc. US96UC23, the wild progenitor species of L. sativa The high level of replication of each allele in the recombinant inbred lines was exploited to identify single-position polymorphisms that were assigned to parental haplotypes. Marker information has been made available using GBrowse to facilitate access to the map. This map has been anchored to the previously published integrated map of lettuce providing candidate genes for multiple phenotypes. The high density of markers achieved in this ultradense map allowed syntenic studies between lettuce and Vitis vinifera as well as other plant species.

Genome-wide association studies (GWAS) have identified around 60 common variants associated with multiple sclerosis (MS), but these loci only explain a fraction of the heritability of MS. Some missing heritability may be caused by rare variants that have been suggested to play an important role in the aetiology of complex diseases such as MS. However current genetic and statistical methods for detecting rare variants are expensive and time consuming. ‘Population-based linkage analysis’ (PBLA) or so called identity-by-descent (IBD) mapping is a novel way to detect rare variants in extant GWAS datasets. We employed BEAGLE fastIBD to search for rare MS variants utilising IBD mapping in a large GWAS dataset of 3,543 cases and 5,898 controls. We identified a genome-wide significant linkage signal on chromosome 19 (LOD = 4.65; p = 1.9×10−6). Network analysis of cases and controls sharing haplotypes on chromosome 19 further strengthened the association as there are more large networks of cases sharing haplotypes than controls. This linkage region includes a cluster of zinc finger genes of unknown function. Analysis of genome wide transcriptome data suggests that genes in this zinc finger cluster may be involved in very early developmental regulation of the CNS. Our study also indicates that BEAGLE fastIBD allowed identification of rare variants in large unrelated population with moderate computational intensity. Even with the development of whole-genome sequencing, IBD mapping still may be a promising way to narrow down the region of interest for sequencing priority.

Temporal lobe epilepsy (TLE) is a common and heterogeneous focal epilepsy syndrome with a complex etiology, involving both environmental and genetic factors. Several familial forms of TLE have been described, including familial lateral TLE (FLTLE), familial mesial TLE (FMTLE) without hippocampal sclerosis, and FMTLE with hippocampal sclerosis. Mutations have been identified only in the leucine-rich, glioma-inactivated 1 (LGI1) gene on chromosome 10q22-q24 in FLTLE. Several loci have been mapped in families with FMTLE, but responsible genes have not been found. We report clinical evaluation in a large family with FMTLE and a new genetic locus., Journal Article, SCOPUS: ar.j, info:eu-repo/semantics/published

We report an analysis of allele-specific expression (ASE) and parent-of-origin expression in adult mouse liver using next generation sequencing (RNA-Seq) of reciprocal crosses of heterozygous F1 mice from the parental strains C57BL/6J and DBA/2J. We found a 60% overlap between genes exhibiting ASE and putative cis-acting expression quantitative trait loci (cis-eQTL) identified in an intercross between the same strains. We discuss the various biological and technical factors that contribute to the differences. We also identify genes exhibiting parental imprinting and complex expression patterns. Our study demonstrates the importance of biological replicates to limit the number of false positives with RNA-Seq data.

This paper models and empirically tests a self-enforcing feature of the value added tax (VAT) which is absent in the theory: An incentive that makes formal traders buy from suppliers who pay VAT too. In addition, it explores how the government can deploy this feature to enforce VAT more efficiently by reallocating the enforcement spendings among different sectors. The results suggest that the government should identify the non-compliant firms more strictly in the backwardly linked sectors {which buy their inputs from the others{ and focus on revealing within-firm information. In contrast, in forwardly linked industries, the government should zoom on double checking the transaction records with the corresponding input credit claims. Empirical evidence from Indian service sector enterprises strongly confirms the existence of VAT self-enforcement effect, even in the absence of government punishments.

The first year of this grant has already resulted in an informative set of DNA, high risk pedigrees, and phenotype data for a set of pedigrees representing an excess of a highly significant clinic subset of prostate cancer cases: those who will go on to die of the disease. Our initial linkage analysis of less than 200 cases has already significantly confirmed a previously reported linkage on chromosome 1. In addition, our initial linkage analysis of less than 200 cases has already identified a significant linkage on chromosome 11. This initial linkage manuscript is in preparation. We will now collaborate (with other funding) to begin sequence analysis of the regions of interest. Identification of genes predisposing to recurrent/lethal prostate cancer from this study will validate this powerful approach, which can be extended to other high risk prostate cancer pedigrees, and will identify genes and pathways that can be further examined to expand our knowledge of prostate cancer genetics., The original document contains color images.