Seyedeh Maryam Zekavat

The paper identifies IL1RAP and AIM2 as key modifiers of CHIP-associated cardiovascular risk using UK Biobank data and CRISPR experiments in mice.

This study identifies genetic drivers and cellular selection signatures of mosaic X chromosome loss in women using large-scale population data and polygenic scores.

This study analyzes clonal hematopoiesis in over a million diverse individuals, identifying 72 genome-wide significant loci and linking CHIP to various phenotypes.

This study identifies genetic variants associated with severe COVID-19 and finds shared genetic architecture with complex diseases using EHR data from the Million Veteran Program.

This study identifies shared immune pathways between coronary artery disease and pneumonia through genome-wide pleiotropy analysis, highlighting ADAMTS7 and IL6R as key genes with opposing effects on the two conditions.

The paper uses bidirectional Mendelian randomization to show LTL lengthening increases CHIP risk, while CHIP accelerates LTL shortening, with modest mediation between CHIP and CAD via LTL.

This study shows that clonal hematopoiesis, especially with DDR gene mutations, increases the risk of peripheral artery disease and atherosclerosis.

This study finds that elevated blood pressure increases pneumonia risk and reduces pulmonary function, supported by both epidemiological and Mendelian randomisation analyses in the UK Biobank.

The paper investigates the association between age-related mosaic chromosomal alterations and infection risk in 767,891 individuals without blood cancer, finding increased infection susceptibility linked to mCAs.

Integrating expression, allelic expression and splicing across tissues identifies rare variants with relevance to traits.

The paper identifies germline genetic variants associated with clonal hematopoiesis of indeterminate potential (CHIP) using whole genome sequences from the TOPMed program.

This study investigates whether genetic predisposition to higher arterial stiffness index (ASI) is associated with blood pressure and coronary artery disease risk, finding a link with blood pressure but not CAD.

The paper introduces a statistical framework for cross-tissue transcriptome-wide association analysis, improving gene-trait association detection and identifying novel genes related to late-onset Alzheimer's disease.

The paper analyzes whole genome sequences from 16,324 individuals to identify genetic variants associated with blood lipid levels and develops a polygenic score for LDL-C.

The paper uses whole genome sequencing to identify genetic variants associated with plasma lipoprotein(a) levels and finds high heritability and inter-ethnic differences in Lp(a) risk.

The paper investigates the impact of rare protein truncating variants on 13 quantitative traits and 10 diseases using whole-exome sequencing data from 100,296 individuals, finding increased risk for several disorders and associations with other phenotypes.

This study uses genome sequencing and epigenomic data to identify genetic variants influencing blood cell traits and uncover regulatory mechanisms in hematopoiesis.