Anil Raj

The paper uses genetic correlation analysis in DO mice to identify QTL and candidate genes linked to age-related pathologies.

The paper analyzes longitudinal body weight data in mice to identify traits linked to lifespan, finding heritable traits associated with energy homeostasis and longevity.

The paper analyzes rDNA copy number variation in humans, finding distinct associations with metabolic diseases and growth traits.

The paper identifies rRNA sequence variants affecting human traits and diseases by analyzing UK Biobank data and developing the RiboVAn method.

This study identifies six longevity-associated loci in Diversity Outbred mice through a genetic meta-analysis of lifespan data from three studies, explaining over half of the heritable variation in lifespan.

This study investigates how the gut microbiome interacts with aging and dietary restriction in mice, finding that host genetics significantly influence microbiome features and that dietary restriction does not rejuvenate the microbiome.

In 937 genetically diverse female mice, caloric restriction and intermittent fasting extended lifespan, yet bodyweight resilience, immune and red-cell traits, not metabolic improvements, predicted longevity.

The paper maps genetic associations with plasma proteins in 54,306 UK Biobank participants, identifying 10,248 new protein quantitative trait loci (pQTLs) and expanding the genetic architecture of the plasma proteome.

The paper quantifies diet-dependent genetic contributions to body weight in mice and identifies loci associated with age- and diet-dependent body weight variation.

This study develops a high-dimensional phenotyping platform to evaluate physiological aging and resilience in mice, finding that aging begins early and resilience declines with age.

This study examines how caloric restriction and intermittent fasting interact with genetics to influence physiological health in mice, finding diet-specific effects and significant genetic contributions to multiple traits.

The paper examines regulatory variation in iPSCs and differentiated cells, finding lower individual variation in iPSCs and identifying shared chromatin regions for some cell type-specific QTLs.

This study identifies 7,273 new human coding sequences using ribosome footprint profiling and validates their functionality through selective constraint and translation correlation analysis.

The paper introduces msCentipede, a model that improves transcription factor binding site inference by better modeling DNase I cleavage pattern heterogeneity and spatial structure.

The paper develops fast variational Bayesian algorithms for inferring population structure in large SNP datasets, achieving speed improvements over STRUCTURE and comparable accuracy to ADMIXTURE.