What is he best known for?
The fields of study he is best known for:
Hailiang Huang spends much of his time researching Genome-wide association study, Genetics, Disease, Genetic association and Genetic architecture.
His Genome-wide association study research integrates issues from Autism spectrum disorder, Bipolar disorder, Clinical psychology and Schizophrenia.
His study of Psychiatric genetics is a part of Schizophrenia.
Much of his study explores Genetics relationship to Case-control study.
The Genetic association study combines topics in areas such as Genetic heterogeneity and Inflammatory bowel disease.
His Genetic architecture research is multidisciplinary, incorporating perspectives in Cohort study, Meta-analysis, Concordance, Cohort and Attention deficit hyperactivity disorder.
His most cited work include:
- Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
- Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
- Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations (1154 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Genetics, Genome-wide association study, Genetic association, Gene and Schizophrenia.
His research combines Disease and Genetics.
He interconnects Case-control study, Linkage disequilibrium, Computational biology, Depression and Genetic architecture in the investigation of issues within Genome-wide association study.
His Genetic association study also includes fields such as
- Imputation together with Correlation and dependence and Data mining,
- Genetic heterogeneity which is related to area like Risk factor.
His work on Phenotype as part of general Gene research is often related to Cell type, thus linking different fields of science.
His research investigates the connection between Schizophrenia and topics such as Bipolar disorder that intersect with problems in Major depressive disorder, Comorbidity and Age of onset.
He most often published in these fields:
- Genetics (68.79%)
- Genome-wide association study (69.94%)
- Genetic association (49.13%)
What were the highlights of his more recent work (between 2019-2021)?
- Genome-wide association study (69.94%)
- Genetic association (49.13%)
- Computational biology (24.28%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Genome-wide association study, Genetic association, Computational biology, Gene and Genetics.
His Genome-wide association study study integrates concerns from other disciplines, such as SNP, Schizophrenia, Genomics, Multi trait and Depression.
His Schizophrenia study combines topics in areas such as Bipolar disorder, Psychosis and Autism spectrum disorder.
His Computational biology research incorporates elements of Instrumental variable, Type I and type II errors, Linkage disequilibrium and Robustness.
His studies deal with areas such as Background selection, Statistic, Disease and Selection as well as Linkage disequilibrium.
His study ties his expertise on Major depressive disorder together with the subject of Genetics.
Between 2019 and 2021, his most popular works were:
- Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism (373 citations)
- RICOPILI: Rapid Imputation for COnsortias PIpeLIne. (49 citations)
- RICOPILI: Rapid Imputation for COnsortias PIpeLIne. (49 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Genome-wide association study, Genetic association, Gene, Autism spectrum disorder and Phenotype.
The various areas that Hailiang Huang examines in his Genome-wide association study study include Polygenic risk score, Data mining, Autism, Exome and Summary statistics.
The study incorporates disciplines such as Imputation, Correlation and dependence, Computational biology and Genomics in addition to Genetic association.
Genetics covers Hailiang Huang research in Gene.
His Autism spectrum disorder study combines topics from a wide range of disciplines, such as Bipolar disorder, Allele frequency, Copy-number variation and Schizophrenia.
His research integrates issues of Enhancer, Genome, CRISPR and Human genetics in his study of Phenotype.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
