Pradeep Natarajan

This study analyzes 4,187 participants over 21 years to identify factors influencing the development of clonal hematopoiesis, finding age, sex, and dyslipidemia as significant predictors.

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 compares meta-analysis and pooled analysis approaches in cross-cohort GWAS of lipid measures, finding method-specific variants and implications for TRE design and analysis.

This study identifies a genetic variant near HLA-DQB1 associated with lower triglycerides in type 2 diabetes but not in non-diabetic individuals, suggesting immune-related mechanisms.

This study identifies 135 genomic loci associated with venous thromboembolism risk through cross-ancestry GWAS and provides insights into biological pathways and potential therapeutic targets.

A genome-wide CRISPR screen identifies CSDE1 as a key regulator of hepatic LDLR mRNA decay in vivo, making it a promising target for heart disease.

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

The paper uses deep learning and genome-wide association studies to identify genetic loci associated with right heart structure and function in 40,000 individuals.

The paper develops a cost-effective sequencing assay to detect clonal hematopoiesis and shows that most clonal mutations expand over time in longitudinal samples.

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 investigates the prevalence of clonal hematopoiesis of indeterminate potential (CHIP) in people living with HIV and finds a higher prevalence compared to controls.

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

This study compares genome sequencing with standard-of-care genetic testing, finding similar diagnostic yields but longer turnaround times for genome sequencing.

The paper describes a system for harmonizing phenotype data across multiple studies in the TOPMed program, enabling reproducible and shared phenotype data for over 80 studies.

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.

This study investigates the impact of heterozygous ABCG5 LoF variants on LDL-C levels and CAD risk, finding a significant association with elevated LDL-C and doubled CAD risk.

This study identifies 14 genome-wide significant loci and a polygenic signature for myeloproliferative neoplasms, implicating hematopoietic stem cell function and self-renewal in disease risk.

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 identifies loss-of-function variants affecting liver-related blood traits that reduce CVD risk without increasing metabolic disease risk, highlighting potential therapeutic targets.

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.

A genome-wide polygenic score identifies individuals with a 4-fold increased risk for coronary disease, similar to a rare monogenic mutation.

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 identifies homozygous null mutations in 961 genes in a consanguineous Pakistani cohort and reports their phenotypic consequences.

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

This study finds that ultra-rare disruptive variants in highly constrained genes are associated with reduced educational attainment in the general population.