What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genome-wide association study, Genetics, Single-nucleotide polymorphism, Prostate cancer and Breast cancer.
Fredrick R. Schumacher combines subjects such as Cancer, Internal medicine, Case-control study and Genetic association with his study of Genome-wide association study.
His study in Genetics is interdisciplinary in nature, drawing from both Odds ratio and Population genetics.
His Single-nucleotide polymorphism study frequently involves adjacent topics like Bioinformatics.
His Prostate cancer research is multidisciplinary, relying on both Allele and Oncology.
His work in the fields of Estrogen receptor overlaps with other areas such as Risk assessment.
His most cited work include:
- Defining the role of common variation in the genomic and biological architecture of adult human height (1407 citations)
- Genome-wide association study of prostate cancer identifies a second risk locus at 8q24 (1029 citations)
- Large-scale genotyping identifies 41 new loci associated with breast cancer risk (834 citations)
What are the main themes of his work throughout his whole career to date?
Fredrick R. Schumacher focuses on Genome-wide association study, Internal medicine, Single-nucleotide polymorphism, Oncology and Prostate cancer.
The study of Genetics and Genotype are components of his Genome-wide association study research.
His work deals with themes such as Genotyping and Bioinformatics, which intersect with Single-nucleotide polymorphism.
The study incorporates disciplines such as Prospective cohort study, Gynecology, Family history and Cohort in addition to Oncology.
His Prostate cancer research is classified as research in Cancer.
His Breast cancer research includes themes of Genetic predisposition and Pathology.
He most often published in these fields:
- Genome-wide association study (56.62%)
- Internal medicine (49.26%)
- Single-nucleotide polymorphism (46.32%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (49.26%)
- Oncology (44.12%)
- Genome-wide association study (56.62%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Internal medicine, Oncology, Genome-wide association study, Prostate cancer and Colorectal cancer.
In general Internal medicine study, his work on Hazard ratio and PROSTATE CANCER SUSCEPTIBILITY often relates to the realm of Published Erratum and Impact study, thereby connecting several areas of interest.
His biological study spans a wide range of topics, including Cancer, Breast cancer, Allele and Germline.
His Breast cancer research is multidisciplinary, incorporating elements of Odds ratio and Epidemiology.
His Genome-wide association study research incorporates elements of Case-control study and Genetic association.
His Prostate cancer research includes elements of Prostate and Computational biology.
Between 2017 and 2021, his most popular works were:
- Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci (268 citations)
- Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes (257 citations)
- Discovery of common and rare genetic risk variants for colorectal cancer (131 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
Fredrick R. Schumacher mainly focuses on Genome-wide association study, Internal medicine, Oncology, Case-control study and Prostate cancer.
His studies deal with areas such as Expression quantitative trait loci and Genetic association as well as Genome-wide association study.
His work in Breast cancer, Cancer and Odds ratio are all subfields of Internal medicine research.
In his research, Family history and Cohort is intimately related to Cohort study, which falls under the overarching field of Case-control study.
As a member of one scientific family, Fredrick R. Schumacher mostly works in the field of Genetics, focusing on Meta-analysis and, on occasion, Haplotype, Genetic architecture, SNP and Imputation.
His studies in Single-nucleotide polymorphism integrate themes in fields like Proportional hazards model, Epidemiology of cancer, Estrogen receptor and Hazard ratio.
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