Publications by authors named "SPEED D"

Article Synopsis
  • Dilated cardiomyopathy (DCM) is a major cause of heart failure, and this study analyzes genetic factors by examining 14,256 DCM cases and 36,203 participants from the UK Biobank for related traits.
  • Researchers discovered 80 genomic risk loci and pinpointed 62 potential effector genes tied to DCM, including some linked to rare variants.
  • The study uses advanced transcriptomics to explore how cellular functions contribute to DCM, showing that polygenic scores can help predict the disease in the general population and emphasize the importance of genetic testing and development of precise treatments.
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The relative magnitude of additive genetic vs. residual variation for fitness traits is important in models for predicting the rate of evolution and population persistence in response to changes in the environment. In many annual plants, lifetime reproductive fitness is correlated with end-of-season plant biomass, which can vary significantly from plant to plant in the same population.

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Food insecurity may predict poorer body image, which is associated with increased risk of mental health problems. However, minimal attention has been given to the food insecurity-body image link and to factors that may influence this link, such as assigned sex; importantly, females are more likely to experience both food insecurity and body dissatisfaction. The present study used data from the 2017 to 2018 Canadian Community Health Survey ( = 32,017) to investigate the effects of food insecurity and sex on body satisfaction via generalized ordered logistic regression.

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We propose TetraHer, a method for estimating the liability heritability of binary phenotypes. TetraHer has five key features. First, it can be applied to data from complex pedigrees that contain multiple types of relationships.

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Article Synopsis
  • The study addresses limitations in genome-wide association studies (GWAS), such as multiple testing and ignoring variant correlations, by using a sparse Bayesian learning model specifically for bipolar disorder (BD) genetics.
  • Analyzed data from 1998 BD cases and 1500 controls resulted in the identification of 13 genetic variants associated with BD, including previously highlighted ones, and some variants were linked to blood parameters.
  • The findings suggest that applying Bayesian models can enhance the understanding of BD genetics even in smaller samples, indicating a need for further research on related variations.
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Individuals who identify as a sexual minority, including those who are lesbian, gay, or bisexual (LGB), face barriers to healthcare as well as increased discrimination, stigmatization, and negative experiences during healthcare use. Further, few healthcare providers have education and training focused on the specific healthcare needs of individuals who are part of a sexual minority group. Given the limited research on Canadian healthcare access for sexual minorities, our purpose was to use data ( > 2,800) from the 2015-16 Canadian Community Health Survey (CCHS) to investigate the perceptions of healthcare access for LGB and non-LGB Canadians.

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Objective: Mendelian randomization studies report a bi-directional relation between cigarette smoking and mental disorders, yet from a clinical standpoint, mental disorders are the focus of treatment. Here, we used an event history framework to understand their evolution in the life course. Our objective was to estimate the relative contribution of genetic predispositions and self-reported smoking status (never, former, and present smoker) to hospitalizations for major depression, bipolar disorder, and schizophrenia.

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Aims: To evaluate and compare the pharmacokinetics of IM and oral firocoxib, and IM meloxicam, and detect their effect on renal function and average daily gain (ADG) in lambs undergoing tail docking and castration.

Methods: Seventy-five male Romney lambs, aged 3-6 weeks, were randomised into five treatment groups (n = 15 per group): IM firocoxib (1 mg/kg); oral firocoxib (1 mg/kg); IM meloxicam (1 mg/kg); normal saline (approximately 2 mL, oral); or sham. Following the treatment administration, hot-iron tail docking and rubber ring castration were performed in all groups except the sham group, which did not undergo the procedures, but the animals were handled in the same manner as castrated and tail docked lambs.

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Article Synopsis
  • Volunteer-based studies like the UK Biobank often lack representative samples, impacting genetic research outcomes.
  • Researchers derived participation probabilities from 14 variables to conduct weighted genome-wide association analyses on 19 traits, revealing that increased representativeness altered SNP effect sizes and identified new associations for 12 traits.
  • While heritability estimates varied little with weighting, significant discrepancies were found in genetic correlations and Mendelian randomization estimates for socio-behavioral traits, highlighting the need for more representative biobank samples in genetic studies related to behavior and social outcomes.
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We present LDAK-GBAT, a tool for gene-based association testing using summary statistics from genome-wide association studies that is computationally efficient, produces well-calibrated p values, and is significantly more powerful than existing tools. LDAK-GBAT takes approximately 30 min to analyze imputed data (2.9M common, genic SNPs), requiring less than 10 Gb memory.

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Objective: The primary goal of the present research was to examine whether the relationships that social support demonstrates with both anxiety and depression varied between adults with and without ADD/ADHD in a Canadian sample.

Method: Data were obtained from the 2012 Canadian Community Health Survey-Mental Health ( ≥ 16,354). Presence of social support, diagnosis of generalized anxiety disorder (GAD), and experience of major depressive episodes (MDEs) were estimated in the self-report ADD/ADHD and non-ADD/ADHD groups.

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Bipolar disorder is associated with increased body mass index (BMI), but it remains undetermined if this association is causal and, if so, in which direction it goes. Here, we sought to answer these questions using bidirectional two-sample Mendelian randomization, a method from genetic epidemiology that uses data from genome-wide association studies (GWAS) to examine whether a risk factor is causal for an outcome METHODS: We used summary statistics from GWAS of bipolar disorder and BMI conducted using data collected by the Psychiatric Genomics Consortium and the UK Biobank, respectively. The genetic instrument for bipolar disorder contained 53 SNPs and explained 0.

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Visceral leishmaniasis (VL) is a potentially fatal disease caused mainly by Leishmania infantum in South America and Leishmania donovani in Asia and Africa. Disease outcomes have been associated with patient genotype, nutrition, age, sex, comorbidities, and coinfections. In this study, we examine the effects of parasite genetic variation on VL disease severity in Brazil.

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Article Synopsis
  • Equine recurrent uveitis (ERU) is a serious eye disease affecting horses, particularly common in Appaloosas, where a chronic form called insidious uveitis occurs.
  • This study aimed to estimate the heritability of insidious uveitis in Appaloosas by analyzing genetic data from affected and unaffected horses, finding strong evidence for genetic factors influencing the disease.
  • The heritability estimates were high (0.95 to 1.74), indicating that other genetic loci beyond the known coat pattern gene (LP) also contribute to the risk of developing this condition, which could inform better breeding and treatment strategies in the future.
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Thin films of Co-MOF-74 and Ni-MOF-74 were synthesized on Au-coated quartz crystal microbalance substrates by a vapor-assisted conversion (VAC) method that precludes the need for activation via postsynthetic solvent exchange. All thin films were structurally characterized by powder X-ray diffraction, reflection-absorption infrared spectroscopy, and Raman spectroscopy. Scanning electron microscopy (SEM) images reveal that the Ni-MOF-74 films exists as a dense base layer with hemispherical protrusions on the surface.

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Missing heritability in genome-wide association studies defines a major problem in genetic analyses of complex biological traits. The solution to this problem is to identify all causal genetic variants and to measure their individual contributions. Here we report a graph pangenome of tomato constructed by precisely cataloguing more than 19 million variants from 838 genomes, including 32 new reference-level genome assemblies.

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Plant plastids generate signals, including some derived from lipids, that need to be mobilized to effect signaling. We used informatics to discover potential plastid membrane proteins involved in microbial responses in Arabidopsis (Arabidopsis thaliana). Among these are proteins co-regulated with the systemic immunity component AZELAIC ACID INDUCED 1, a hybrid proline-rich protein (HyPRP), and HyPRP superfamily members.

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The belief-as-benefit effect (BABE) is a broad term for the positive association between religion/spirituality (R/S) and health outcomes. Functionally, religious variables and religious identities predict greater wellness, which implies that atheists should report worse health relative to religious groups. Using Cycle 29 of the cross-sectional General Social Survey from Statistics Canada (N > 15,900), I explored health differences in stress, life satisfaction, subjective physical wellbeing, and subjective mental wellbeing across R/S identities (atheists, agnostics, Nones, Catholics, Protestants, Eastern Religions).

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Complex-trait genetics has advanced dramatically through methods to estimate the heritability tagged by SNPs, both genome-wide and in genomic regions of interest such as those defined by functional annotations. The models underlying many of these analyses are inadequate, and consequently many SNP-heritability results published to date are inaccurate. Here, we review the modelling issues, both for analyses based on individual genotype data and association test statistics, highlighting the role of a low-dimensional model for the heritability of each SNP.

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Objective: While most of the variation in thyroid function is determined by genetic factors, single nucleotide polymorphisms (SNPs) identified via genome-wide association analyses have only explained ~5% to 9% of this variance so far. Most SNPs were in or nearby genes with no known role in thyroid hormone (TH) regulation. Therefore, we performed a large-scale candidate gene study investigating the effect of common genetic variation in established TH regulating genes on serum thyrotropin [thyroid-stimulating hormone (TSH)] and thyroxine (FT4) concentrations.

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Whole-genome sequencing has facilitated genome-wide analyses of association, prediction and heritability in many organisms. However, such analyses in bacteria are still in their infancy, being limited by difficulties including genome plasticity and strong population structure. Here we propose a suite of methods including linear mixed models, elastic net and LD-score regression, adapted to bacterial traits using innovations such as frequency-based allele coding, both insertion/deletion and nucleotide testing and heritability partitioning.

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Here, with the example of common copy number variation (CNV) in the gene, we present an important piece of work in the field of CNV detection, that is, CNV association with complex human traits such as H NMR metabolomic phenotypes and an example of functional characterization of CNVs among human induced pluripotent stem cells (HipSci). We report exon 11 (ENSE00003720745) as a pleiotropic locus associated with metabolomic regulation and show that its biology is associated with several metabolic diseases such as type 2 diabetes (T2D) and cancer. Our results further demonstrate the power of multivariate association models over univariate methods and define metabolomic signatures for variants in .

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Most existing tools for constructing genetic prediction models begin with the assumption that all genetic variants contribute equally towards the phenotype. However, this represents a suboptimal model for how heritability is distributed across the genome. Therefore, we develop prediction tools that allow the user to specify the heritability model.

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Long wait times for physiotherapy are associated with poorer health trajectories for clients. Clients' experiences with physiotherapy services in Saint John were suboptimal; thus, this study explored making administrative changes to improve those experiences. All physiotherapy services adopted an administrative model called (OAB), which blended elements of advanced access, triage, and centralized wait lists.

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Cannabis use is associated with a number of psychiatric disorders; however, the causal nature of these associations has been difficult to establish. Mendelian randomization (MR) offers a way to infer causality between exposures with known genetic predictors (genome-wide significant single nucleotide polymorphisms [SNPs]) and outcomes of interest. MR has previously been applied to investigate the relationship between lifetime cannabis use (having ever used cannabis) and schizophrenia, depression, and attention deficit hyperactivity disorder (ADHD), but not bipolar disorder, representing a gap in the literature.

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