What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
Lude Franke mainly investigates Genetics, Genome-wide association study, Single-nucleotide polymorphism, Disease and Quantitative trait locus.
His work on Genetics deals in particular with Genetic association, Candidate gene, Expression quantitative trait loci, Genetic architecture and Allele.
His Genome-wide association study research is included under the broader classification of Gene.
His studies deal with areas such as Genetic variation and Medical genetics as well as Single-nucleotide polymorphism.
Lude Franke has included themes like Schizophrenia, Cohort study, Case-control study, Genotype and Genetic heterogeneity in his Disease study.
His study in Quantitative trait locus is interdisciplinary in nature, drawing from both Statistics, Mixed model, Regression, Menarche and Drug discovery.
His most cited work include:
- Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
- Defining the role of common variation in the genomic and biological architecture of adult human height (1407 citations)
- Genetics of rheumatoid arthritis contributes to biology and drug discovery (1350 citations)
What are the main themes of his work throughout his whole career to date?
Lude Franke mostly deals with Genetics, Genome-wide association study, Single-nucleotide polymorphism, Gene and Genetic association.
Genetics is represented through his Quantitative trait locus, Expression quantitative trait loci, Allele, Candidate gene and Locus research.
His Expression quantitative trait loci study combines topics from a wide range of disciplines, such as Regulation of gene expression and Gene expression profiling.
The concepts of his Genome-wide association study study are interwoven with issues in SNP, Disease, Immunology and Linkage disequilibrium.
His research in Immunology tackles topics such as Inflammatory bowel disease which are related to areas like Ulcerative colitis.
Lude Franke combines subjects such as Human leukocyte antigen, Genetic variation, Immune system and Case-control study with his study of Single-nucleotide polymorphism.
He most often published in these fields:
- Genetics (64.95%)
- Genome-wide association study (49.26%)
- Single-nucleotide polymorphism (30.15%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (64.95%)
- Genome-wide association study (49.26%)
- Computational biology (12.99%)
In recent papers he was focusing on the following fields of study:
Genetics, Genome-wide association study, Computational biology, Gene and Expression quantitative trait loci are his primary areas of study.
His Genome-wide association study research is classified as research in Single-nucleotide polymorphism.
His Computational biology study integrates concerns from other disciplines, such as Imputation, Multivariate statistics, Linear model and Genomics.
His Gene research is multidisciplinary, incorporating elements of Disease and Kidney disease.
His Disease research incorporates themes from Gene expression level, Immunology and Bioinformatics.
His Expression quantitative trait loci research includes themes of Population genetics, Genetic risk, Functional genomics, Gene–environment interaction and Mixed model.
Between 2018 and 2021, his most popular works were:
- Causal relationships among the gut microbiome, short-chain fatty acids and metabolic diseases (239 citations)
- High-throughput identification of human SNPs affecting regulatory element activity (76 citations)
- A linear mixed-model approach to study multivariate gene-environment interactions (48 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Genetics
- Internal medicine
Lude Franke focuses on Genome-wide association study, Computational biology, Genetics, Expression quantitative trait loci and Quantitative trait locus.
His Genome-wide association study research incorporates elements of Odds ratio and Mendelian randomization.
His biological study spans a wide range of topics, including Leverage, Genetic risk, Functional genomics, Genomics and Genetic association.
His Genetics study frequently draws connections to adjacent fields such as Feces.
His Expression quantitative trait loci study combines topics in areas such as Linear model, Multivariate statistics, Mixed model and Gene–environment interaction.
His studies in Quantitative trait locus integrate themes in fields like Phenotype, Single-nucleotide polymorphism and Heritability.
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