Xia Shen

The paper introduces the Proteomic Sex Index (PSI), a continuous measure of plasma proteome alignment with chromosomal sex, showing its association with health and disease traits.

This study shows that combining GWAS summary statistics with phenotype data can leak genomic information, with higher risk for non-European populations.

The paper performs a multi-breed meta-GWAS in pigs to identify genomic regions associated with complex traits and integrates with PigGTEx to prioritize variant-gene-tissue-trait circuits.

The paper identifies genetic regulators of 184 neuro-related proteins in human plasma and links them to disease traits and drug targets.

This study identifies 40 circulating proteins associated with cancer risk using MR and colocalization, highlighting potential therapeutic targets and adverse effects of protein-altering interventions.

The paper introduces causality-enriched epigenetic clocks, DamAge and AdaptAge, to track detrimental and adaptive methylation changes linked to aging, showing their association with adverse outcomes and beneficial adaptations.

The paper presents PigGTEx, a resource linking genetic variants to transcriptomic phenotypes in pigs, showing pigs' similarity to humans in gene regulation and complex traits.

The paper constructs a synthetic disomic yeast using SCRaMbLE and a newly synthesized chromosome to study aneuploidy phenotypes, finding that both copy number and specific chromosomal regions affect fitness.

This paper introduces a bivariate GWAS approach to uncover hidden genetic loci in Arabidopsis thaliana by addressing population stratification and identifies a pleiotropic gene affecting flowering time and maturation.

This study identifies cholesterol levels and WBC counts as causal factors for COVID-19 severity through GWAS and MR analysis, and highlights type I interferon pathways in disease mechanisms.

The paper improves phenotypic correlation estimation using summary association statistics by proposing a low-MAF Z-score correlation method that reduces bias compared to existing approaches.

This paper develops a multi-trait framework for discovering, replicating, and interpreting pleiotropic loci using GWAS summary statistics, identifying novel genetic associations without additional genotyping.

The paper identifies genetic loci associated with lifespan using genome-wide association and shows that variants linked to modern diseases explain most lifespan variation.

This study maps eQTLs in natural Arabidopsis thaliana accessions and identifies structural variants contributing to transcriptional variation.