PhD Project - GW4 BioMed3 MRC DLP PhD project: Understanding the impact of olfactory genetics, diet and gut microbiota on cardiometabolic health at University of Bath, listed on FindAPhD.com

The Polygenic Score (PGS) Catalog is an open database of published PGS and the relevant metadata needed to apply and evaluate them correctly.

This review covers how the results of genome-wide association studies are now utilized at multiple scales, informing our etiological understanding at the levels of molecules, cells, and organs. It cov...

Pleiotropic shared heritability with bias correction (PHBC) estimates the genetic variance of a target disease that is shared with a set of auxiliary diseases. Applying PHBC to diseases in the UK Biob...

Genetic prediction of multi-omic data has emerged as a cost-effective alternative to direct omics profiling, particularly useful for identifying molecular features associated with disease susceptibili...

University of Cambridge, University of Edinburgh, Imperial College London and University of Oxford Applications are invited for up to 10 funded 4-year PhD studentships starting in October 2026, as

The phenotypic effects of germline variants are often mediated through gene regulation. Expression quantitative trait loci (eQTLs) are genetic variants associated with changes in gene expression. Understanding how eQTLs vary across populations is essential for characterising the genetic and regulatory drivers of trait diversity. Meta-analysing eQTL studies from multiple populations enables more robust detection of eQTLs and can reveal regulatory mechanisms shaped by population-specific environmental or ancestry-related factors. However, across the multi-ancestry eQTL literature, a wide range of methods have been used to quantify eQTL portability across ancestry groups. Because different studies employ different portability metrics, it is challenging to form a coherent view of the regulatory landscape across populations. In this work, we analyse eQTL summary statistics from ten datasets matched on tissue type and sequencing technology. We compare portability metrics used previously and show that they can yield markedly different patterns of apparent regulatory conservation or divergence. We then examine the statistical determinants of portability across metrics and demonstrate that sample size, minor allele frequency, and linkage disequilibrium are major drivers of the observed differences in eQTL portability across studies. These findings highlight that differences in statistical power stemming from factors such as population size and allele frequency must be accounted for when evaluating eQTL portability. To address this issue, we introduce a new approach designed to correct for these factors when calling eQTL portability. Finally, we show that empirical Bayes multivariate adaptive shrinkage provides a powerful framework for meta-analysing multiple eQTL studies, with the ability to pool signals across populations to produce more robust effect-size estimates within each population. ### Competing Interest Statement The authors have declared no competing interest. National Health and Medical Research Council, https://ror.org/011kf5r70, Ideas Grant 2020501, Investigator Grant 1195595

Four interventions used to prevent donation-related vasovagal reactions showed no clear benefits compared with standard practices in England, suggesting potential policy implications for blood service...

The `pgsc_calc` workflow makes it easy to calculate a polygenic score

AbstractBackground and Aims. Clinical biomarkers, nuclear magnetic resonance (NMR) metabolomics biomarker scores, and polygenic risk scores (PRS) have show

PhD Project - The overlapping microbiome: ecology, function and resilience beyond species boundaries at University of Bath, listed on FindAPhD.com