What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Genetics
Andrew R. Wood mainly investigates Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Genetic architecture.
His Genome-wide association study research entails a greater understanding of Gene.
His Genetics research integrates issues from Body mass index and Waist–hip ratio.
Andrew R. Wood combines subjects such as Sex characteristics, Obesity, Mendelian randomization, SH2B1 and Genetic epidemiology with his study of Body mass index.
His Genetic association research focuses on Type 2 diabetes and how it connects with Physiology, Birth weight and Genetic variation.
His studies deal with areas such as Common disease-common variant, Linkage disequilibrium and Allele as well as Genetic architecture.
His most cited work include:
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
- Hundreds of variants clustered in genomic loci and biological pathways affect human height (1614 citations)
- Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes (1502 citations)
What are the main themes of his work throughout his whole career to date?
Andrew R. Wood spends much of his time researching Genome-wide association study, Genetics, Internal medicine, Type 2 diabetes and Body mass index.
His Genome-wide association study study necessitates a more in-depth grasp of Single-nucleotide polymorphism.
His Genetics study typically links adjacent topics like Meta-analysis.
His Internal medicine research incorporates themes from Endocrinology, Oncology, Mendelian randomization and Insomnia.
In his research, Fetus and Offspring is intimately related to Physiology, which falls under the overarching field of Type 2 diabetes.
His study in Body mass index is interdisciplinary in nature, drawing from both Obesity and Odds.
He most often published in these fields:
- Genome-wide association study (35.78%)
- Genetics (32.76%)
- Internal medicine (21.55%)
What were the highlights of his more recent work (between 2019-2021)?
- Internal medicine (21.55%)
- Mendelian randomization (14.66%)
- Disease (11.64%)
In recent papers he was focusing on the following fields of study:
Andrew R. Wood focuses on Internal medicine, Mendelian randomization, Disease, Genome-wide association study and Type 2 diabetes.
His work investigates the relationship between Internal medicine and topics such as Endocrinology that intersect with problems in Birth weight.
His studies in Mendelian randomization integrate themes in fields like Thyroid cancer, Biobank, Waist and Confounding.
Genome-wide association study is a subfield of Single-nucleotide polymorphism that he tackles.
Andrew R. Wood focuses mostly in the field of Single-nucleotide polymorphism, narrowing it down to topics relating to Coeliac disease and, in certain cases, Genetic association.
His Type 2 diabetes research is multidisciplinary, incorporating perspectives in Odds ratio, Heart disease and Polycystic ovary.
Between 2019 and 2021, his most popular works were:
- Using human genetics to understand the disease impacts of testosterone in men and women (57 citations)
- Genetic predictors of participation in optional components of UK Biobank (11 citations)
- Effects of body mass index on relationship status, social contact and socio-economic position: Mendelian randomization and within-sibling study in UK Biobank (11 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
His primary areas of study are Disease, Mendelian randomization, Genome-wide association study, Internal medicine and Biobank.
The various areas that he examines in his Disease study include Odds ratio, COPD, Cohort and Pulmonary disease.
Andrew R. Wood has included themes like Obesity, Affect, Odds, Decile and Socioeconomic status in his Mendelian randomization study.
His Genome-wide association study study combines topics in areas such as Statistics, Sample size determination and Gene–environment interaction.
His Internal medicine research includes themes of Genotyping and Single-nucleotide polymorphism.
His Biobank study combines topics from a wide range of disciplines, such as Participation bias, Menarche and Selection.
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