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186 results for “genome wide association study”
Genome-wide association studies identify candidate genes for coat color and mohair traits in the Iranian Markhoz goat
<p>Illumina Caprine 53K SNPchip genotypes of 228 Iranian goats used for coat color and mohair traits GWAS</p>
Genome-wide association study for circulating metabolites in 619,372 individuals
<h2>Genome-wide association study for circulating metabolites in 619,372 individuals</h2> <p>Preprint: <a href="https://doi.org/10.1101/2024.10.15.24315557">https://doi.org/10.1101/2024.10.15.24315557</a></p> <p><br>meta_ALL - meta-analysis across Estonian Biobank and six genetic ancestry groups of the UK Biobank</p> <p>meta_EUR - meta-analysis across Estonian Biobank and EUR genetic acestry group of the UK Biobank<br><br>*_all_lead_varaints.tsv - all genome-wide significant lead variants detected for each of the 249 tested metabolites</p> <p>*_independent_lead_variants.tsv - indepedendent lead variants that were in high LD with each other (r2 > 0.8).</p> <p> </p>
Genome-wide association study identifies 18 novel loci associated with left atrial volume and function
<p><strong>README</strong></p> <p>Publication: Genome-wide association study identifies 18 novel loci associated with left atrial volume and function</p> <p>Ahlberg and Andreasen et al.</p> <p>Published: 29 July 2021, doi: <a href="https://doi.org/10.1093/eurheartj/ehab466">https://doi.org/10.1093/eurheartj/ehab466</a></p> <p>summary statistics for LAmax: rntrn_ilamax.bgen.stats.betastd.tsv.gz <br> summary statistics for LAmin: rntrn_ilamin.bgen.stats.betastd.tsv.gz <br> summary statistics for LAAEF: rntrn_laaef.bgen.stats.betastd.tsv.gz <br> summary statistics for LAPEF: rntrn_lapef.bgen.stats.betastd.tsv.gz <br> summary statistics for LATEF: rntrn_latef.bgen.stats.betastd.tsv.gz </p> <p> </p> <p>Description:</p> <p>SNP: rs number or ID string<br> CHR: chromosome<br> BP: physical (base pair) position<br> GENPOS: genetic position either from bim file or interpolated from genetic map<br> ALLELE1: first allele in bim file (usually the minor allele), used as the effect allele<br> ALLELE0: second allele in bim file, used as the reference allele<br> A1FREQ: frequency of first allele<br> F_MISS: fraction of individuals with missing genotype at this SNP<br> BETA: effect size from BOLT-LMM approximation to infinitesimal mixed model<br> SE: standard error of effect size<br> P_BOLT_LMM_INF: infinitesimal mixed model association test p-value<br> P_BOLT_LMM: non-infinitesimal mixed model association test p-value<br> N: sample size <br> bstd: standardized effect size from BOLT-LMM <br> sestd: standardized standard error of effect size</p>
Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle
<p>Fourier-transform mid-infrared (FT-MIR) spectroscopy provides a high-throughput and inexpensive method for predicting milk composition and other novel traits from milk samples. Whilst there have been many genome-wide association studies (GWAS) conducted on FT-MIR predicted traits, there have been few GWAS for individual FT-MIR wavenumbers. Here we examine associations between genomic regions and individual FT-MIR wavenumber phenotypes within a population of 38,085 mixed-breed New Zealand dairy cattle with imputed whole-genome sequence. GWAS were conducted for each of 895 individual FT-MIR wavenumber phenotypes and three FT-MIR predicted milk composition traits, and gene annotation and mammary tissue gene expression datasets were employed to identify candidate causative genes and variants. This resulted in the identification of 38 co-locating, co-segregating expression QTL (eQTL), and 31 protein-sequence mutations for FT-MIR wavenumber phenotypes, the latter including a null mutation in <i>ABO</i> that has a potential role in changing milk oligosaccharide profiles. For the candidate causative genes implicated in these analyses, the strength of association between relevant loci and each wavenumber across the mid-infrared spectrum revealed shared association patterns for groups of genomically-distant loci, highlighting clusters of loci linked through their biological roles in lactation and their presumed impacts on the chemical composition of milk.</p>
Data from: Genome-wide association studies across environmental and genetic contexts reveal complex genetic architecture of symbiotic extended phenotypes
<p>A goal of modern biology is to develop the genotype-phenotype (G→P) map, a predictive understanding of how genomic information generates trait variation that forms the basis of both natural and managed communities. As microbiome research advances, however, it has become clear that many of these traits are symbiotic extended phenotypes, being governed by genetic variation encoded not only by the host's own genome, but also by the genomes of myriad cryptic symbionts. Building a reliable G→P map therefore requires accounting for the multitude of interacting genes and even genomes involved in symbiosis. Here we use naturally-occurring genetic variation in 191 strains of the model microbial symbiont <em>Sinorhizobium meliloti</em> paired with two genotypes of the host <em>Medicago truncatula</em> in four genome-wide association studies (GWAS) to determine the genomic architecture of a key symbiotic extended phenotype – partner quality, or the fitness benefit conferred to a host by a particular symbiont genotype, within and across environmental contexts and host genotypes. We define three novel categories of loci in rhizobium genomes that must be accounted for if we want to build a reliable G→P map of partner quality; namely, 1) loci whose identities depend on the environment, 2) those that depend on the host genotype with which rhizobia interact, and 3) universal loci that are likely important in all or most environments.</p> <p><span>IMPORTANCE:</span><strong> </strong>Given the rapid rise of research on how microbiomes can be harnessed to improve host health, understanding the contribution of microbial genetic variation to host phenotypic variation is pressing, and will better enable us to predict the evolution of (and select more precisely for) symbiotic extended phenotypes that impact host health. We uncover extensive context-dependency in both the identity and functions of symbiont loci that control host growth, which makes predicting the genes and pathways important for determining symbiotic outcomes under different conditions more challenging. Despite this context-dependency, we also resolve a core set of universal loci that are likely important in all or most environments, and thus, serve as excellent targets both for genetic engineering and future coevolutionary studies of symbiosis.</p>
Data: Genome-wide association study reveals white lupin candidate gene involved in anthracnose resistance
<p>White lupin (<em>Lupinus albus </em>L.) is a re-emerging protein crop and promising alternative to soybean. Its cultivation, however, is severely threatened by anthracnose disease caused by the fungal pathogen <em>Colletotrichum lupini</em>. To dissect the genetic architecture for anthracnose resistance, genotyping-by-sequencing (GBS) was performed on white lupin accessions collected from the center of domestication and traditional cultivation regions. GBS resulted in 4,611 high-quality single-nucleotide polymorphisms (SNPs) for 181 accessions, which were combined with resistance data observed under controlled conditions to perform a genome-wide association study (GWAS). Obtained disease phenotypes were shown to highly correlate to overall three-year disease assessments under Swiss field conditions (r > 0.8). GWAS results identified two significant SNPs associated with anthracnose resistance on gene <em>Lalb_Chr05_g0216161</em> encoding a RING zinc-finger E3 ubiquitin ligase which is potentially involved in plant immunity. Population analysis showed a remarkably fast linkage disequilibrium (LD) decay, weak population structure and grouping of commercial varieties with landraces, corresponding to the slow domestication history and scarcity of modern breeding efforts in white lupin. Together with 15 highly resistant accessions identified in the resistance assay, our findings show promise for further crop improvement. This study provides the basis for marker-assisted selection, genomic prediction and studies aimed at understanding anthracnose resistance mechanisms in white lupin and contributes to improving breeding programs worldwide.</p>
Data for: Dissecting the genetic architecture of leaf morphology traits in mungbean (Vigna radiata (L.) Wizcek) using genome‐wide association study
<p><span>Mungbean (<em>Vigna radiata</em> (L) Wizcek) is an important pulse crop, increasingly used as a source of protein, fiber, low fat, carbohydrates, minerals, and bioactive compounds in human diets. Mungbean is a dicot plant with trifoliate leaves. Leaves are central to various plant processes like photosynthesis, light interception, and overall canopy structure. The objectives were to study leaf morphological traits, use image analysis to extract leaf traits from images from the Iowa Mungbean Diversity (IMD) panel, develop a regression model for the prediction of leaflet area, and conduct association mapping for leaf morphological traits. We collected more than 5000 leaf images of the IMD panel consisting of 484 accessions over two years (2020 and 2021) with two replications per experiment. Leaf traits were extracted using image analysis, analyzed, and used for association mapping. Morphological diversity included leaflet type (oval or lobed), leaflet size (small, medium, large), lobed angle (shallow, deep), and vein coloration (green, purple). A regression model was developed to predict each ovate leaflet's area (adjusted R<sup>2</sup> = 0.97; residual standard errors of <= 1.10). The candidate genes <em>Vradi01g07560</em>, <em>Vradi05g01240</em>, <em>Vradi02g05730</em>, and <em>Vradi03g00440</em>, are associated with multiple traits (length, width, perimeter, and area) across the leaflets (left, terminal, and right). These are suitable candidate genes for further investigation in their role in leaf development, growth, and function. Future studies will be needed to correlate the observed traits discussed here with yield or important agronomic traits for use as phenotypic or genotypic markers in marker-aided selection methods for mungbean crop improvement.</span></p>
Lifecourse genome-wide association study meta-analysis refines the critical life stages for adiposity’s influence on breast cancer risk
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Canine genome-wide association study identifies DENND1B as an obesity gene in dogs and humans
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Genome-wide association study concerning idiopathic epilepsy in Petit Basset Griffon Vendeen
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Data from: Genome-wide association studies across environmental and genetic contexts reveal complex genetic architecture of symbiotic extended phenotypes
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Genome-wide association study identifies genomic regions associated with key reproductive traits in Korean Hanwoo cows
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Dataset for genome-wide association study of maize phosphorus efficiency
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Multi-locus genome-wide association study for grain yield and drought tolerance indices in sorghum accessions
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Heritability and genome-wide association study of vaccine-induced immune response in Beagles: A pilot study
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Data from: Genome-wide association study for traits related to cold tolerance and recovery during seedling stage in rice
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Data from: Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study
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Dataset for: Identification of genomic regions of wheat associated with grain Fe and Zn content under drought and heat stress using genome-wide association study
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Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle
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A genome-wide association study of deafness in three canine breeds
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.