Xilin Jiang

Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes

The paper develops PolyPWAS, a framework combining cis- and trans-pQTLs to prioritize disease-critical genes by improving protein prediction with functional annotations and showing better disease heritability explanation.

The genetic determinants of plasma protein variance across ancestries and effects on cardiometabolic disease risk

This study identifies genetic determinants of plasma protein variance across ancestries and shows their impact on cardiometabolic disease risk.

Exposure accumulation drives age-dependent disease architectures and polygenic risk scores

The paper shows that environmental variance increases with age, reducing heritability and PRS accuracy for multiple traits and diseases, suggesting younger cohorts are better for risk prediction models.

Pleiotropic heritability quantifies the shared genetic variance of common diseases

This paper introduces PHBC to estimate pleiotropic heritability across diseases, finding that about half of common disease heritability is shared with other diseases.

Metabolic reaction fluxes as amplifiers and buffers of risk alleles for coronary artery disease

This study identifies metabolic reaction fluxes that interact with CAD risk alleles, revealing their role as amplifiers or buffers in disease susceptibility.

Genetic determinants of blood gene expression and splicing and their contribution to molecular phenotypes and health outcomes

This study identifies genetic determinants of blood gene expression and splicing, linking them to molecular phenotypes and health outcomes through QTL analysis and colocalization.

Aladynoulli: A Bayesian approach to disease progression modeling for genomic discovery and clinical prediction

ALADYNOULLI integrates longitudinal health records and genetic data to model disease progression, identifying interpretable disease signatures with cross-population consistency and improving clinical prediction.

Topic modelling with ICD10-informed priors identifies novel genetic loci associated with multimorbidities in UK Biobank

The paper develops treeLFA, a topic modeling method using ICD10 priors to identify multimorbidity clusters in UK Biobank, and finds genetic loci associated with these clusters.

Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk

This paper introduces an age-dependent topic modelling method to identify disease subtypes with differential genetic risk using UK Biobank and All of Us data.

The impact of age on genetic risk for common diseases

This paper investigates how genetic risk for common diseases changes with age using UK Biobank data, finding that most genetic risk factors have a decreasing impact over time.