What is he best known for?
The fields of study he is best known for:
- Gene
- Cancer
- Internal medicine
Daniel J. Schaid mostly deals with Genetics, Internal medicine, Prostate cancer, Cancer and Single-nucleotide polymorphism.
His study in Genetics focuses on Allele frequency, Haplotype, Genetic linkage, Genotype and Allele.
Daniel J. Schaid usually deals with Allele and limits it to topics linked to Genetic association and Gene mapping and Genetic marker.
His Internal medicine research is multidisciplinary, incorporating elements of Gastroenterology, Endocrinology and Oncology.
He focuses mostly in the field of Prostate cancer, narrowing it down to topics relating to Genome-wide association study and, in certain cases, Confidence interval, Meta-analysis, Disease and Computational biology.
The Single-nucleotide polymorphism study combines topics in areas such as Molecular biology, Germline mutation, Pharmacogenomics and Exon.
His most cited work include:
- Score Tests for Association between Traits and Haplotypes when Linkage Phase Is Ambiguous (1684 citations)
- Efficacy of Bilateral Prophylactic Mastectomy in Women with a Family History of Breast Cancer (1179 citations)
- Apolipoprotein E status as a predictor of the development of Alzheimer's disease in memory-impaired individuals. (679 citations)
What are the main themes of his work throughout his whole career to date?
Genetics, Internal medicine, Single-nucleotide polymorphism, Oncology and Prostate cancer are his primary areas of study.
His study in Gene, Haplotype, Linkage disequilibrium, Genetic linkage and Genetic association is done as part of Genetics.
His Internal medicine research includes themes of Gastroenterology and Endocrinology.
The concepts of his Single-nucleotide polymorphism study are interwoven with issues in Genotyping and Pharmacogenomics, Bioinformatics.
As part of the same scientific family, he usually focuses on Oncology, concentrating on Odds ratio and intersecting with Allele frequency.
His research in Prostate cancer intersects with topics in Prostate, Disease and Genotype.
He most often published in these fields:
- Genetics (33.72%)
- Internal medicine (30.96%)
- Single-nucleotide polymorphism (18.35%)
What were the highlights of his more recent work (between 2014-2021)?
- Internal medicine (30.96%)
- Genome-wide association study (13.99%)
- Genetics (33.72%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Internal medicine, Genome-wide association study, Genetics, Prostate cancer and Genetic association.
Daniel J. Schaid has researched Internal medicine in several fields, including Polygenic risk score and Oncology.
His work in Genome-wide association study addresses subjects such as Immunology, which are connected to disciplines such as Vaccinia.
His work carried out in the field of Prostate cancer brings together such families of science as Prostate, Disease, Locus, Genotype and Candidate gene.
His Genetic association study incorporates themes from Pleiotropy, Computational biology and Linkage disequilibrium.
His work deals with themes such as Genetic variation and Allele, which intersect with Single-nucleotide polymorphism.
Between 2014 and 2021, his most popular works were:
- REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants (546 citations)
- Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci (268 citations)
- From genome-wide associations to candidate causal variants by statistical fine-mapping. (207 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
Daniel J. Schaid mainly investigates Genome-wide association study, Genetics, Single-nucleotide polymorphism, Prostate cancer and Genetic association.
His Genome-wide association study study combines topics in areas such as Genomic data, Sensor fusion, Measles virus and Virology.
Daniel J. Schaid undertakes interdisciplinary study in the fields of Genetics and Trait through his works.
His Single-nucleotide polymorphism study combines topics from a wide range of disciplines, such as Genetic variation, Allele, Locus and Heritability.
His studies in Prostate cancer integrate themes in fields like Case-control study, Oncology and Genotype.
His studies examine the connections between Genetic association and genetics, as well as such issues in Computational biology, with regards to Medical genetics, Genome, Clinical study design and Data integration.
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