What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Genetics
Ethan M. Lange mainly investigates Genetics, Prostate cancer, Single-nucleotide polymorphism, Genome-wide association study and Genetic linkage.
His Locus, Allele frequency, Genotype, Gene and Haplotype study are his primary interests in Genetics.
Ethan M. Lange interconnects Germline mutation and Prostate in the investigation of issues within Prostate cancer.
Ethan M. Lange has researched Single-nucleotide polymorphism in several fields, including Myocardial infarction, Allele and Bioinformatics.
His Genome-wide association study research incorporates elements of Imputation, Genotyping and Chronic periodontitis.
His Genetic linkage research incorporates themes from Genetic marker, Asthma, Allergy, Gene–environment interaction and Linkage.
His most cited work include:
- REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants (546 citations)
- Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction (450 citations)
- Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array (424 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Genetics, Prostate cancer, Genome-wide association study, Internal medicine and Single-nucleotide polymorphism.
Genetic linkage, Genotype, Haplotype, Locus and Gene are among the areas of Genetics where he concentrates his study.
Ethan M. Lange focuses mostly in the field of Prostate cancer, narrowing it down to matters related to Missense mutation and, in some cases, Germline mutation.
His Genome-wide association study study integrates concerns from other disciplines, such as SNP, Imputation, Genetic association and Human genetics.
The concepts of his Internal medicine study are interwoven with issues in Diabetes mellitus, Endocrinology and Oncology.
His Single-nucleotide polymorphism study combines topics in areas such as Adiponectin, Cohort and Allele frequency.
He most often published in these fields:
- Genetics (61.37%)
- Prostate cancer (30.47%)
- Genome-wide association study (27.47%)
What were the highlights of his more recent work (between 2014-2021)?
- Genetics (61.37%)
- Internal medicine (24.03%)
- Genome-wide association study (27.47%)
In recent papers he was focusing on the following fields of study:
Ethan M. Lange focuses on Genetics, Internal medicine, Genome-wide association study, Obesity and Endocrinology.
His work is connected to Exome, Minor allele frequency, Allele frequency, Gene and Genome, as a part of Genetics.
His Internal medicine research includes elements of Diabetes mellitus and Oncology.
His Genome-wide association study study is associated with Single-nucleotide polymorphism.
His biological study deals with issues like Genotype, which deal with fields such as Phenotype, Mitral valve prolapse, Mitral valve, Genetic linkage and Mendelian inheritance.
His Risk factor study combines topics from a wide range of disciplines, such as Prostate cancer, Blood pressure and Forest plot.
Between 2014 and 2021, his most popular works were:
- REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants (546 citations)
- Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction (450 citations)
- Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility (146 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
His primary areas of study are Genetics, Genome-wide association study, Genetic association, Exome and Allele frequency.
Minor allele frequency and Single-nucleotide polymorphism are among the areas of Genetics where the researcher is concentrating his efforts.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating elements of LDL receptor and Haplotype.
His work carried out in the field of Genome-wide association study brings together such families of science as Immunology, Quantitative trait locus, Allele, Locus and Lipoprotein.
The study incorporates disciplines such as Imputation, Statistics, Confounding and Econometrics in addition to Genetic association.
His studies in Exome integrate themes in fields like Acquired immune system, Hematopoietic stem cell differentiation, White blood cell and Myeloid.
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