What is he best known for?
The fields of study he is best known for:
His primary areas of study are Genetics, Genome-wide association study, Single-nucleotide polymorphism, Immunology and Genetic association.
He frequently studies issues relating to Multiple sclerosis and Genetics.
His Genome-wide association study research integrates issues from LRRK2, Copy-number variation, Allele frequency and Candidate gene.
His Allele frequency research includes elements of Population stratification, Human genetics and CDKN2BAS.
His Single-nucleotide polymorphism research includes themes of Quantitative trait locus and Hemodynamics.
Stephen Sawcer works mostly in the field of Genetic association, limiting it down to topics relating to Genetic predisposition and, in certain cases, Cellular immunity, Lymphocyte differentiation and Genetic architecture, as a part of the same area of interest.
His most cited work include:
- Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls (7922 citations)
- Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis (1970 citations)
- Risk alleles for multiple sclerosis identified by a genomewide study. (1431 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Multiple sclerosis, Genome-wide association study, Single-nucleotide polymorphism and Linkage disequilibrium.
His studies in Gene, Genetic association, Allele, Genome and Microsatellite are all subfields of Genetics research.
His Multiple sclerosis research is multidisciplinary, incorporating elements of Linkage, Disease, Pathology and Major histocompatibility complex.
His research investigates the connection between Genome-wide association study and topics such as Internal medicine that intersect with problems in Endocrinology.
His Single-nucleotide polymorphism study combines topics from a wide range of disciplines, such as Genetic variation and Allele frequency.
His studies deal with areas such as Genotyping, Human leukocyte antigen and Genetic testing as well as Linkage disequilibrium.
He most often published in these fields:
- Genetics (67.63%)
- Multiple sclerosis (51.08%)
- Genome-wide association study (28.06%)
What were the highlights of his more recent work (between 2015-2020)?
- Genetics (67.63%)
- Genome-wide association study (28.06%)
- Multiple sclerosis (51.08%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Multiple sclerosis, Gene and Disease.
Stephen Sawcer incorporates Genetics and Bipolar disorder in his studies.
Stephen Sawcer has included themes like Body mass index, Internal medicine, Odds ratio and Genetic association in his Genome-wide association study study.
Stephen Sawcer has researched Multiple sclerosis in several fields, including Vitamin D and neurology, Age related, Allele and Bioinformatics.
Within one scientific family, Stephen Sawcer focuses on topics pertaining to Computational biology under Gene, and may sometimes address concerns connected to Posterior probability and Indel.
His studies in Disease integrate themes in fields like White Matter Injury, Pathophysiology and Copy-number variation.
Between 2015 and 2020, his most popular works were:
- Neurological and neuropsychiatric complications of COVID-19 in 153 patients: a UK-wide surveillance study. (360 citations)
- Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes (328 citations)
- Excessive burden of lysosomal storage disorder gene variants in Parkinson's disease (163 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Genome-wide association study, Genetics, Gene, Disease and Multiple sclerosis.
His research in Genome-wide association study intersects with topics in Internal medicine, Case-control study and Mendelian Randomization Analysis.
His research on Genetics often connects related topics like Parkinson's disease.
His study on Age of onset is often connected to ASAH1 as part of broader study in Disease.
His work deals with themes such as Vitamin D and neurology, Allele, Age related and Confidence interval, which intersect with Multiple sclerosis.
His Odds ratio research incorporates themes from Endocrinology, Single-nucleotide polymorphism and Confounding.
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.
