2023 - Research.com Genetics in United States Leader Award
2022 - Research.com Best Scientist Award
2018 - Curt Stern Award, American Society of Human Genetics
2017 - Distinguished Scientist Award, American Heart Association
His primary scientific interests are in Genome-wide association study, Genetics, Single-nucleotide polymorphism, Internal medicine and Genetic association. The various areas that Sekar Kathiresan examines in his Genome-wide association study study include Coronary artery disease, Disease, Allele, Locus and Genetic architecture. His studies deal with areas such as Cholesterol and Lipoprotein as well as Genetics.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating elements of Quantitative trait locus, Body mass index, Genetic model and Genetic epidemiology. His work carried out in the field of Internal medicine brings together such families of science as Endocrinology, Genotype and Cardiology. His research in Genetic association intersects with topics in SNP and Genetic testing.
Sekar Kathiresan mostly deals with Genetics, Internal medicine, Genome-wide association study, Single-nucleotide polymorphism and Endocrinology. His work in Gene, Genetic variation, Locus, Exome and Allele is related to Genetics. His study explores the link between Internal medicine and topics such as Cardiology that cross with problems in Framingham Risk Score.
His Genome-wide association study research incorporates elements of Bioinformatics, Quantitative trait locus, Genetic architecture, Disease and Genetic association. His Genetic association study combines topics from a wide range of disciplines, such as Computational biology and Blood pressure. His Coronary artery disease study combines topics in areas such as Multifunction cardiogram and Case-control study.
The scientist’s investigation covers issues in Internal medicine, Genome-wide association study, Disease, Bioinformatics and Genetics. His research integrates issues of Polygenic risk score, Endocrinology and Cardiology in his study of Internal medicine. His Genome-wide association study research is multidisciplinary, incorporating perspectives in Genetic architecture, Genetic association and Genomics.
His Disease research includes themes of Endogamy, Consanguinity, Biobank and Founder effect. His studies in Bioinformatics integrate themes in fields like Diabetes mellitus, Venous thromboembolism, Liver function and Fatty liver. Sekar Kathiresan combines topics linked to Familial hypercholesterolemia with his work on Genetics.
His scientific interests lie mostly in Genome-wide association study, Genetics, Internal medicine, Genetic variation and Bioinformatics. His Genome-wide association study study incorporates themes from Dna variants, Cardiomyopathy, Heart failure, Cause of death and Gene Discovery. The various areas that Sekar Kathiresan examines in his Genetics study include Coronary artery disease and Familial hypercholesterolemia.
Sekar Kathiresan usually deals with Internal medicine and limits it to topics linked to Endocrinology and TM6SF2 and Liver disease. His biological study spans a wide range of topics, including Computational biology, Case-control study and Human genetics. His research investigates the connection between Bioinformatics and topics such as Disease that intersect with issues in Uterine cancer, Family history and Odds ratio.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Analysis of protein-coding genetic variation in 60,706 humans
Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha.
Biological, clinical and population relevance of 95 loci for blood lipids
Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson.
Age-Related Clonal Hematopoiesis Associated with Adverse Outcomes
Siddhartha Jaiswal;Pierre Fontanillas;Jason Flannick;Jason Flannick;Alisa Manning.
The New England Journal of Medicine (2014)
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)
Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels
Richa Saxena;Benjamin F. Voight;Valeriya Lyssenko;Noël P. Burtt.
Discovery and refinement of loci associated with lipid levels
Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso.
Nature Genetics (2013)
Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study
Benjamin F. Voight;Benjamin F. Voight;Benjamin F. Voight;Gina M. Peloso;Gina M. Peloso;Marju Orho-Melander;Ruth Frikke-Schmidt.
web science (2012)
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud.
Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
Heribert Schunkert;Inke R. König;Sekar Kathiresan;Muredach P. Reilly.
Nature Genetics (2011)
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