What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
Rasika A. Mathias spends much of his time researching Genetics, Genome-wide association study, Single-nucleotide polymorphism, Genetic association and Allele.
His work on Linkage disequilibrium, Genotype, Allele frequency and Genomics as part of his general Genetics study is frequently connected to Inference, thereby bridging the divide between different branches of science.
His biological study spans a wide range of topics, including Human genetic variation, Disease gene and 1000 Genomes Project.
His study in 1000 Genomes Project is interdisciplinary in nature, drawing from both Exome sequencing and Computational biology.
His Genome-wide association study research includes themes of Odds ratio, Polymorphism, Meta-analysis, Genotyping and Asthma.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating perspectives in Genetic variability and Heritability.
His most cited work include:
- A global reference for human genetic variation. (7825 citations)
- Genome-partitioning of genetic variation for complex traits using common SNPs (731 citations)
- Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations (618 citations)
What are the main themes of his work throughout his whole career to date?
Rasika A. Mathias mainly focuses on Genetics, Genome-wide association study, Single-nucleotide polymorphism, Asthma and Gene.
His Genetics research focuses on Linkage disequilibrium, Allele, Genotype, Minor allele frequency and Haplotype.
His Genome-wide association study research incorporates elements of Odds ratio, Internal medicine, Genotyping, Genetic association and Genetic variation.
His Genetic association study frequently draws parallels with other fields, such as Genetic architecture.
The various areas that he examines in his Single-nucleotide polymorphism study include Quantitative trait locus, Polymorphism and Candidate gene.
Asthma is a subfield of Immunology that Rasika A. Mathias explores.
He most often published in these fields:
- Genetics (50.45%)
- Genome-wide association study (26.28%)
- Single-nucleotide polymorphism (21.15%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (50.45%)
- Genome-wide association study (26.28%)
- Gene (16.62%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Genetics, Genome-wide association study, Gene, Genetic association and Whole genome sequencing.
His studies in Minor allele frequency, Genetic variation, Locus, Genome and Heritability are all subfields of Genetics research.
His studies deal with areas such as Diabetes mellitus and Human genetics as well as Genetic variation.
His study with Genome-wide association study involves better knowledge in Single-nucleotide polymorphism.
Many of his research projects under Gene are closely connected to Induced pluripotent stem cell with Induced pluripotent stem cell, tying the diverse disciplines of science together.
His Genetic association research includes themes of Meta-analysis, Genomics, Haplotype and Genetic architecture.
Between 2018 and 2021, his most popular works were:
- Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program (143 citations)
- Assembly of a pan-genome from deep sequencing of 910 humans of African descent (141 citations)
- Recovery of trait heritability from whole genome sequence data (119 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
Rasika A. Mathias spends much of his time researching Genetics, Genome-wide association study, Genetic association, Genetic variation and Locus.
Many of his studies on Genetics apply to Diabetes mellitus as well.
His Genome-wide association study study combines topics in areas such as Odds ratio, Internal medicine, Asthma and Linkage disequilibrium.
The Linkage disequilibrium study combines topics in areas such as Genotyping, Allele frequency and 1000 Genomes Project.
His research integrates issues of Meta-analysis, In silico, Computational biology and Kernel in his study of Genetic association.
His Genetic variation research incorporates themes from Genome, Sequencing data, Recombination rate and Human genetics.
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