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42 results for “polygenic score”
Polygenic risk score in Africa populations: progress and challenges
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Supplemental data for: Development and validation of a polygenic risk score for stroke in the Chinese population
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Left atrial polygenic scores for "Deep Learning of Left Atrial Structure and Function Provides Link to Atrial Fibrillation Risk"
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Historical rice farming in China linked to contemporary polygenic score differences
<p>Following domestication in the lower Yangtze River valley 9,400 years ago, rice farming spread throughout China and changed lifestyle patterns among Neolithic populations. Here we report evidence that the advent of rice domestication and cultivation may have shaped humans not only culturally but also genetically. Leveraging recent findings from molecular genetics, we construct a number of polygenic scores of behavioural traits and examine their associations with rice cultivation based on a sample of 4,101 individuals recently collected from Mainland China. A total of nine polygenic traits and genotypes are investigated in this study, including polygenic scores of height, body mass index, depression, time discounting, reproduction, educational attainment, risk preference, <i>ADH1B</i> rs1229984 and <i>ALDH2</i> rs671. Two-stage least squares estimates of the county-level percentage of cultivated land devoted to paddy rice on the polygenic score of age at first birth (<i>b</i> = -0.029, <i>p</i> = 0.021) and <i>ALDH2</i> rs671 (<i>b</i> = 0.182, <i>p</i> < 0.001) are both statistically significant and robust to a wide range of potential confounds and alternative explanations. These findings imply that rice farming may influence human evolution in relatively recent human history.</p>
Implementing Polygenic Risk Scores for Breast Cancer Prevention: a Feasibility Study
ClinicalTrials.gov study NCT06922708. IPD Sharing: YES. Countries: 0. Publications: 14.
Historical rice farming in China linked to contemporary polygenic score differences
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Data from: An atlas of polygenic risk score associations to highlight putative causal relationships across the human phenome
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Low-pass sequencing increases the power of GWAS and decreases measurement error of polygenic risk scores compared to genotyping arrays
GEO Series GSE165845. Homo sapiens. 360 samples. Type: Genome variation profiling by array.
Leveraging large-scale datasets and single cell omics data to develop a polygenic score for cisplatin-induced ototoxicity
GEO Series GSE281324. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
A polygenic score for acute vaso-occlusive pain in pediatric sickle cell disease
<p><a href="https://viz.stjude.cloud/communityData/PGS_snpLists.xlsx">Polygenic Risk Scores</a> is from the Pain study described below:</p> <p>Recurrent acute pain, or vaso-occlusive pain crisis (VOP), is the most common complication of sickle cell disease and correlates strongly with increased hospital visits and early mortality <a href="https://pubmed.ncbi.nlm.nih.gov/1710777/">PMID: 1710777</a>. While the genetics of VOP in sickle cell patients has been studied (PMID: <a href="https://pubmed.ncbi.nlm.nih.gov/29205277/">29205277</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/27883292/">27883292</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/25102390/">25102390</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/30079801/">30079801</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/22925497/">22925497</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/29531649/">29531649</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/29620434/">29620434</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/19468207/">19468207</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/20172753/">20172753</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/22576309/">22576309</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/30031848/">30031848</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/24136375/">24136375</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/27603703/">27603703</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/29559808/">29559808</a>), it is not fully understood.</p> <p>Using WGS, we interrogated the <em>a</em>-thalassemia deletion -<em>a</em>3.7 and 133 candidate risk single nucleotide polymorphisms (SNPs) across an additional 65 genes for association with VOP: 11 SNPs in 3 gene regions associated with fetal hemoglobin (HbF) and 122 additional SNPs in 62 genes previously reported to be associated with pain due to SCD and/or other etiologies. We then constructed unweighted polygenic risk scores (PGSs) by counting the total number of risk alleles per individual across the 11 HbF SNPs (PGSHbF) and the 5 SNPs in COMT (PGSCOMT), where COMT is the gene previously associated with SCD pain (PMID: <a href="https://pubmed.ncbi.nlm.nih.gov/29559808/">29559808</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/215537663/">15537663</a>). We also defined a final PGS comprised of these 16 SNPs plus another 5 internally-validated candidate SNPs (PGSHbF+COMT+5snps), which was more strongly associated with acute VOP than any individual variant. Additionally, patients with the highest 5% of scores had 3-fold more pain events than the bottom 5% but were 5 times more likely to be on hydroxyurea, indicating that patients with high scores might benefit from a second drug.</p>
Development of Polygenic Risk Scores in Colon Cancer Patients Through the Study of Ancestry and Diversity in Genetic Maps of the Brazilian Population - ORIGEM Project
ClinicalTrials.gov study NCT06917794. IPD Sharing: NO. Countries: 1. Publications: 0.
DELphi Procedure for Developing Recommendations for the Implementation of Wearable Devices and Polygenic Risk Scores
ClinicalTrials.gov study NCT07358481. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Polygenic Risk Score for Epithelial OVarian cancEr Risk Prediction: the PROVE Study
ClinicalTrials.gov study NCT06935344. IPD Sharing: NO. Countries: 1. Publications: 0.
Clinical Implementation of a Polygenic Risk Score (PRS) for Breast Cancer
ClinicalTrials.gov study NCT03688204. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Impact of Disclosing Coronary Artery Disease Polygenic Risk Score on Cardiovascular Health
ClinicalTrials.gov study NCT07087431. IPD Sharing: YES. Countries: 1. Publications: 0.
Early Detection of Coronary Artery Disease by Polygenic and Metabolic Risk Scoring
ClinicalTrials.gov study NCT04604353. IPD Sharing: NO. Countries: 1. Publications: 0.
Utility and Effectiveness of Polygenic Risk Scoring (PRS) for Coronary Artery Disease (CAD)
ClinicalTrials.gov study NCT06542432. IPD Sharing: Not stated. Countries: 1. Publications: 0.
UPBEAT: Using Polygenic Scores to Guide BB Therapy in HF With Mildly Reduced EF
ClinicalTrials.gov study NCT07054489. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Polygenic Risk Scores and Multi-cancer Early Detection for Ovarian Cancer
ClinicalTrials.gov study NCT06436248. IPD Sharing: NO. Countries: 1. Publications: 0.
Developing a translational polygenic score of biological sensitivity to context
GEO Series GSE150812. Mus musculus. 55 samples. Type: Expression profiling by high throughput sequencing.
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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.