His main research concerns Genetics, Genome-wide association study, Bone density, Single-nucleotide polymorphism and Osteoporosis. David Karasik has included themes like Menarche and Bioinformatics in his Genetics study. His Genome-wide association study study combines topics from a wide range of disciplines, such as Body mass index, Disease, Allele, Heritability and Candidate gene.
His work is dedicated to discovering how Single-nucleotide polymorphism, Endocrinology are connected with Odds ratio and Phenotype and other disciplines. His research in the fields of Bone mineral overlaps with other disciplines such as Fragility. His research in Bone mineral focuses on subjects like Femoral neck, which are connected to Framingham Heart Study, Orthodontics and Teriparatide.
David Karasik mainly focuses on Genome-wide association study, Genetics, Osteoporosis, Single-nucleotide polymorphism and Internal medicine. The Genome-wide association study study combines topics in areas such as Bioinformatics, Meta-analysis, Genetic association, Computational biology and Candidate gene. His work is connected to Locus, Allele, Quantitative trait locus, Genetic architecture and Gene, as a part of Genetics.
His Osteoporosis research is multidisciplinary, incorporating perspectives in Phenotype, Framingham Risk Score and Bone remodeling. His study in Internal medicine is interdisciplinary in nature, drawing from both Endocrinology and Oncology. He combines subjects such as Body mass index and Heritability with his study of Framingham Heart Study.
David Karasik mostly deals with Genome-wide association study, Genetics, Single-nucleotide polymorphism, Osteoporosis and Zebrafish. The study incorporates disciplines such as Meta-analysis, Crosstalk, Computational biology and Candidate gene in addition to Genome-wide association study. His is involved in several facets of Genetics study, as is seen by his studies on Genetic architecture, Locus and Genetic association.
The concepts of his Single-nucleotide polymorphism study are interwoven with issues in Bone mineral and Femoral neck. David Karasik works mostly in the field of Bone mineral, limiting it down to topics relating to Body mass index and, in certain cases, Heritability, as a part of the same area of interest. In the field of Osteoporosis, his study on Bone density overlaps with subjects such as ANAPC1.
His primary scientific interests are in Genome-wide association study, Genetics, Meta-analysis, Genetic architecture and Single-nucleotide polymorphism. His work carried out in the field of Genome-wide association study brings together such families of science as Biobank, Model organism, Phenotype, Genetic association and Candidate gene. His Phenotype research integrates issues from Bone density, Endocrinology, Computational biology and Zebrafish.
His research in Genetics intersects with topics in Bioelectrical impedance analysis and Lean body mass. His Single-nucleotide polymorphism research focuses on Osteoporosis and how it relates to Pleiotropy. His Bone mineral research includes elements of Evolutionary biology, Body mass index and Femoral neck.
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.
Common genetic determinants of vitamin D insufficiency: a genome-wide association study
Thomas J. Wang;Feng Zhang;J. Brent Richards;Bryan Kestenbaum.
The Lancet (2010)
Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture
Karol Estrada;Unnur Styrkarsdottir;Evangelos Evangelou;Yi-Hsiang Hsu.
Nature Genetics (2012)
Twenty bone mineral-density loci identified by large-scale meta-analysis of genome-wide association studies
Fernando Rivadeneira;Unnur Styrkarsdottir;Karol Estrada;Bjarni V. Halldorsson.
Nature Genetics (2009)
Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies
Cathy E. Elks;John R B Perry;Patrick Sulem;Daniel I. Chasman.
Nature Genetics (2010)
Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche
John R.B. Perry;Felix Day;Cathy E. Elks;Patrick Sulem.
Nature (2014)
Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair
Felix R. Day;Katherine S. Ruth;Deborah J Thompson;Kathryn L. Lunetta.
Nature Genetics (2015)
Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile.
Tuomas O Kilpeläinen;M Carola Zillikens;Alena Stančákova;Francis M Finucane.
Nature Genetics (2011)
Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.
Hou Feng Zheng;Vincenzo Forgetta;Yi Hsiang Hsu;Yi Hsiang Hsu;Karol Estrada.
Nature (2015)
Meta-analysis of genome-wide association data identifies two loci influencing age at menarche.
John R B Perry;Lisette Stolk;Nora Franceschini;Kathryn L Lunetta;Kathryn L Lunetta.
Nature Genetics (2009)
Collaborative Meta-analysis: Associations of 150 Candidate Genes With Osteoporosis and Osteoporotic Fracture
J. Brent Richards;Fotini K. Kavvoura;Fernando Rivadeneira;Unnur Styrkársdóttir.
Annals of Internal Medicine (2009)
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