Praveen Surendran
A5101417034- Genetic Associations and Epidemiology
- Bioinformatics and Genomic Networks
- Nutrition, Genetics, and Disease
- Metabolomics and Mass Spectrometry Studies
- Genomics and Rare Diseases
- Birth, Development, and Health
- Lipid metabolism and disorders
- Blood groups and transfusion
- Cancer-related molecular mechanisms research
- Lipoproteins and Cardiovascular Health
- Metabolism, Diabetes, and Cancer
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Epigenetics and DNA Methylation
- Atherosclerosis and Cardiovascular Diseases
- Hemoglobinopathies and Related Disorders
- Hormonal Regulation and Hypertension
- Liver Disease Diagnosis and Treatment
- Folate and B Vitamins Research
- IoT-based Smart Home Systems
- Inflammatory mediators and NSAID effects
- Gene expression and cancer classification
- Genetic Mapping and Diversity in Plants and Animals
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Cholesterol and Lipid Metabolism
Brigham and Women's Hospital
2025
Circadian (United States)
2025
Age UK
2022-2025
University of Cambridge
2015-2024
British Heart Foundation
2020-2024
Health Data Research UK
2020-2024
Addenbrooke's Hospital
2023-2024
Genomics (United Kingdom)
2024
GlaxoSmithKline (United Kingdom)
2022-2023
SRM Institute of Science and Technology
2022
Abstract Summary PhenoScanner is a curated database of publicly available results from large-scale genetic association studies in humans. This online tool facilitates ‘phenome scans’, where variants are cross-referenced for with many phenotypes different types. Here we present major update (‘PhenoScanner V2’), including over 150 million and more than 65 billion associations (compared to 350 V1) diseases traits, gene expression, metabolite protein levels, epigenetic markers. The query options...
Abstract Summary: PhenoScanner is a curated database of publicly available results from large-scale genetic association studies. This tool aims to facilitate ‘phenome scans’, the cross-referencing variants with many phenotypes, help aid understanding disease pathways and biology. The currently contains over 350 million 10 unique variants, mostly single nucleotide polymorphisms. It accompanied by web-based that queries for associations user-specified providing according same effect non-effect...
The Pharma Proteomics Project is a precompetitive biopharmaceutical consortium characterizing the plasma proteomic profiles of 54,219 UK Biobank participants. Here we provide detailed summary this initiative, including technical and biological validations, insights into disease signatures, prediction modelling for various demographic health indicators. We present comprehensive protein quantitative trait locus (pQTL) mapping 2,923 proteins that identifies 14,287 primary genetic associations,...
<h3>Importance</h3> Human genetic studies have indicated that plasma lipoprotein(a) (Lp[a]) is causally associated with the risk of coronary heart disease (CHD), but randomized trials several therapies reduce Lp(a) levels by 25% to 35% not provided any evidence lowering level reduces CHD risk. <h3>Objective</h3> To estimate magnitude change in needed same an association as a 38.67-mg/dL (ie, 1-mmol/L) low-density lipoprotein cholesterol (LDL-C) level, has been shown produce clinically...
A scavenger that protects the heart Coronary disease is a tale of two forms plasma cholesterol. In contrast to well-established effects “bad” cholesterol (LDL-C), role “good” (HDL-C) mysterious. Elevated HDL-C correlates with lower risk disease, yet drugs raise levels do not reduce risk. Zanoni et al. found some people exceptionally high carry rare sequence variant in gene encoding major receptor, receptor BI. This destroys receptor's ability take up HDL-C. Interestingly, this have higher...
Circulating proteins have important functions in inflammation and a broad range of diseases. To identify genetic influences on inflammation-related proteins, we conducted genome-wide protein quantitative trait locus (pQTL) study 91 plasma measured using the Olink Target platform 14,824 participants. We identified 180 pQTLs (59 cis, 121 trans). Integration pQTL data with eQTL disease association studies provided insight into pathogenesis, implicating lymphotoxin-α multiple sclerosis. Using...
Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD show pleiotropy; that is, they are also other diseases or traits. This study sought to systematically test if genetic variants for non-CAD diseases/traits associate and undertake a comprehensive analysis the extent pleiotropy all loci. In discovery analyses involving 42,335 cases 78,240 control subjects we tested 29,383 common (minor allele frequency >5%) single...
Abstract The UK Biobank Pharma Proteomics Project (UKB-PPP) is a collaboration between the (UKB) and thirteen biopharmaceutical companies characterising plasma proteomic profiles of 54,306 UKB participants. Here, we describe results from first phase UKB-PPP, including protein quantitative trait loci (pQTL) mapping 1,463 proteins that identifies 10,248 primary genetic associations, which 85% are newly discovered. We also identify independent secondary associations in 92% cis 29% trans loci,...
Abstract Genome-wide association analyses using high-throughput metabolomics platforms have led to novel insights into the biology of human metabolism 1–7 . This detailed knowledge genetic determinants systemic has been pivotal for uncovering how pathways influence biological mechanisms and complex diseases 8–11 Here we present a genome-wide study 233 circulating metabolic traits quantified by nuclear magnetic resonance spectroscopy in up 136,016 participants from 33 cohorts. We identify...
Abstract Garrod’s concept of ‘chemical individuality’ has contributed to comprehension the molecular origins human diseases. Untargeted high-throughput metabolomic technologies provide an in-depth snapshot metabolism at scale. We studied genetic architecture plasma metabolome using 913 metabolites assayed in 19,994 individuals and identified 2,599 variant–metabolite associations ( P < 1.25 × 10 −11 ) within 330 genomic regions, with rare variants (minor allele frequency ≤ 1%) explaining...
Metabolic biomarker data quantified by nuclear magnetic resonance (NMR) spectroscopy in approximately 121,000 UK Biobank participants has recently been released as a community resource, comprising absolute concentrations and ratios of 249 circulating metabolites, lipids, lipoprotein sub-fractions. Here we identify characterise additional sources unwanted technical variation influencing individual biomarkers the available to download from Biobank. These included sample preparation time,...