Genome-wide analyses of variance in blood cell phenotypes provide new insights into complex trait biology and prediction DOI Creative Commons
Ruidong Xiang, Yang Liu, Chief Ben-Eghan

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 16, 2024

Abstract Blood cell phenotypes are routinely tested in healthcare to inform clinical decisions. Genetic variants influencing mean blood have been used understand disease aetiology and improve prediction; however, additional information may be captured by genetic effects on observed variance. Here, we mapped variance quantitative trait loci (vQTL), i.e. associated with variance, for 29 from the UK Biobank (N∼408,111). We discovered 176 independent vQTLs, of which 147 were not found additive QTL mapping. vQTLs displayed average 1.8-fold stronger negative selection than QTL, highlighting that acts reduce extreme phenotypes. Variance polygenic scores (vPGSs) constructed stratify individuals INTERVAL cohort (N∼40,466), where genetically less variable (low vPGS) had increased conventional PGS accuracy (by ∼19%) more individuals. prediction traits improved ∼10% combining vPGS. Using Mendelian randomisation vPGS association analyses, alcohol consumption significantly variances utility vPGSs provide novel insight into phenotype as well prediction.

Language: Английский

The Polygenic Score Catalog: new functionality and tools to enable FAIR research DOI Creative Commons
Samuel A. Lambert, Benjamin Wingfield, Joel T. Gibson

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 31, 2024

Abstract Polygenic scores (PGS) have transformed human genetic research and multiple potential clinical applications, including risk stratification for disease prevention prediction of treatment response. Here, we present a series recent enhancements to the PGS Catalog ( www.PGSCatalog.org ), largest findable, accessible, interoperable, reusable (FAIR) repository PGS. These include expansions in data content ancestral diversity as well addition new features. We further Calculator pgsc_calc , https://github.com/PGScatalog/pgsc_calc an open-source, scalable portable pipeline reproducibly calculate that securely democratizes equitable applications by implementing ancestry estimation score normalization using reference data. With & calculator users can now quantify individual’s predisposition hundreds common diseases clinically relevant traits. Taken together, these updates tools facilitate next generation PGS, thus lowering barriers studies necessary identify where may be integrated into practice.

Language: Английский

Citations

17

The NHGRI-EBI GWAS Catalog: standards for reusability, sustainability and diversity DOI Creative Commons
María Cerezo, Elliot Sollis, Yue Ji

et al.

Nucleic Acids Research, Journal Year: 2024, Volume and Issue: 53(D1), P. D998 - D1005

Published: Nov. 12, 2024

The NHGRI-EBI GWAS Catalog serves as a vital resource for the genetic research community, providing access to most comprehensive database of human results. Currently, it contains close 7 000 publications >15 traits, from which more than 625 lead associations have been curated. Additionally, 85 full genome-wide summary statistics datasets-containing association data all variants in analysis-are available downstream analyses such meta-analysis, fine-mapping, Mendelian randomisation or development polygenic risk scores. As centralised repository results, sets and implements standards submission harmonisation, encourages use consistent descriptors samples methodologies. We share processes vocabulary with PGS Catalog, improving interoperability growing user group. Here, we describe latest changes content, improvements our interface, implementation GWAS-SSF standard format statistics. address challenges handling rapid increase large-scale molecular quantitative trait need sensitivity population cohort while maintaining reusability.

Language: Английский

Citations

13

Enhancing the Polygenic Score Catalog with tools for score calculation and ancestry normalization DOI
Samuel A. Lambert, Benjamin Wingfield, Joel T. Gibson

et al.

Nature Genetics, Journal Year: 2024, Volume and Issue: 56(10), P. 1989 - 1994

Published: Sept. 26, 2024

Language: Английский

Citations

12

Integrating IoT in pediatric dental health: A data-driven approach to early prevention and education DOI Creative Commons

Ehizogie Paul Adeghe,

Chioma Anthonia Okolo,

Olumuyiwa Tolulope Ojeyinka

et al.

International Journal of Frontiers in Life Science Research, Journal Year: 2024, Volume and Issue: 6(1), P. 022 - 035

Published: March 26, 2024

This paper explores the integration of IoT devices, data analytics, and education techniques to enhance pediatric dental health outcomes. By leveraging real-time collection, analysis, personalized interventions, can empower both caregivers children adopt proactive hygiene practices. comprehensive approach not only improves oral but also establishes lifelong habits for overall wellness. Pediatric is a vital often overlooked component well-being. Despite its significance, it frequently lacks attention deserves. Integrating Internet Things (IoT) technologies into care presents an opportunity substantial improvement in early prevention strategies. enhances conducive crucial determinant well-being, yet remains overshadowed by other priorities. Addressing requires measures, including The promising avenue revolutionize delves potential improving health. harnessing empowers holistic fosters development Through examination integration, this underscores transformative impact have on health, emphasizing importance prioritizing innovative approaches address critical aspect childhood

Language: Английский

Citations

11

Genetic landscape for screening and early diagnosis of pancreatic ductal adenocarcinoma: is there a signature? DOI
Daniele Campa, Manuel Gentiluomo, Cosmeri Rizzato

et al.

Best Practice & Research Clinical Gastroenterology, Journal Year: 2025, Volume and Issue: unknown, P. 101988 - 101988

Published: Feb. 1, 2025

Language: Английский

Citations

1

Precision public health in the era of genomics and big data DOI
Megan C. Roberts, Kathryn E. Holt, Guilherme Del Fiol

et al.

Nature Medicine, Journal Year: 2024, Volume and Issue: 30(7), P. 1865 - 1873

Published: July 1, 2024

Language: Английский

Citations

6

Genome-wide association testing beyond SNPs DOI
Laura Harris, Ellen M. McDonagh, Xiaolei Zhang

et al.

Nature Reviews Genetics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 7, 2024

Language: Английский

Citations

6

Enhancing the utility of polygenic scores in Alzheimer’s disease through systematic curation and annotation DOI Creative Commons
Savannah Mwesigwa,

Yulin Dai,

Nitesh Enduru

et al.

Frontiers in Genetics, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 4, 2025

Introduction Polygenic Scores (PGSs) assess cumulative genetic risk variants that contribute to the association with complex diseases like Alzheimer’s Disease (AD). The PGS Catalog is a valuable repository of PGSs various diseases, but it lacks standardized annotations and harmonization, making information difficult integrate for specific disease. Methods In this study, we curated 44 datasets AD from Catalog, categorized them into five methodological groups, annotated 813,257 nearby genes. We aligned scores based on “GWAS significant variants” (GWAS-SV) method GWAS flagged redundant files those “limited scope” due insufficient external support. Using rank aggregation (RA), prioritized consistently important provided an R package, “PgsRankRnnotatR,” automate process. Results Of six RA methods evaluated, “Dowdall” was most robust. Our refined dataset, enhanced by multiple options, resource researchers selecting or exploring AD-related variants. Discussion approach offers framework curating, harmonizing, prioritizing datasets, improving their usability research. By integrating automating process, provide flexible tool enhances selection variant exploration. This can be extended other traits, facilitating broader applications in assessment.

Language: Английский

Citations

0

Posttransplantation diabetes mellitus (PTDM): pharmacological aspects and genetic predispositions DOI

Dorian Chastagner,

Hélène Arnion,

Clément Danthu

et al.

Pharmacogenomics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: Feb. 28, 2025

Posttransplantation diabetes mellitus (PTDM) is a form of developed after solid organ or stem cell transplantation. This condition shares physiopathological traits with type 2 diabetes, including insulin resistance and β-cells dysfunction its prevalence varies significantly based on the diagnostic criteria used. Immunosuppressive drugs directly contribute to PTDM risk through intricate impacts glucose regulation, secretion, inflammation. In addition, modifiable non-modifiable environmental factors are associated onset this condition. review aims provide comprehensive overview multifactorial nature in order highlight candidate genes variants for pharmacogenetic research. An extensive literature search was conducted identify studies pharmacological genetic influencing development. stresses importance understanding these interactions improving management underscores need further research refine preventive approaches, ultimately enhancing patient outcomes post-transplantation.

Language: Английский

Citations

0

The Impact of SNP Score on Low-Density Lipoprotein Cholesterol Concentration and Coronary Artery Disease DOI Open Access

Darius Čereškevičius,

Ieva Čiapienė, Ali Aldujeli

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(5), P. 2337 - 2337

Published: March 6, 2025

Hypercholesterolemia, characterized by elevated levels of low-density lipoprotein cholesterol (LDL-C), along with inflammation, is a well-known risk factor for developing atherosclerosis and coronary artery disease (CAD). Many patients hypercholesterolemia may carry inherited genetic variants that are not part the commonly recognized mutations in LDLR, APOB, LDLRAP1, PCSK9 genes. These have cumulative effects contribute to increased LDL-C CAD development. The polygenic score (PRS) provide an essential tool evaluating individual's predisposition these conditions. This pilot study aimed investigate impact PRS calculated from specific single nucleotide polymorphisms (SNPs) associated LDL (LDL-C)-namely, CELSR2 rs629301, APOB rs1367117, ABCG8 rs6544713, LDLR rs6511720, APOE rs429358, rs7412-on both healthy individuals (>2.6 mmol/L) those diagnosed ST-segment elevation myocardial infarction (STEMI). A total 61 high 93 STEMI were selected study. High-Resolution Melting Polymerase Chain Reaction (HRM PCR) method was adopted sequencing techniques employed identify interest. patient group exhibited 0.824 (with range -0.62 1.174) compared 0.674 (range: -0.176 0.974) individuals, indicating higher (p = 0.001) patients. Interestingly, had lower concentrations than individuals. Additionally, more significant number past smokers statin users. calculations revealed odds experiencing MI, ratio 12.044 (95% confidence interval: 1.551-93.517, p 0.017). Similarly, showed even odds, 24.962 CI: 7.171-86.890, < 0.001). Among having concentration greater 4.9 mmol/L (odds ratio: 20.391, 95% 1.116-358.486, 0.039). However, no association found between during hospitalization 0.782). shows can be evaluate MI estimate

Language: Английский

Citations

0