What is she best known for?
The fields of study she is best known for:
- Gene
- Genetics
- Internal medicine
Her primary areas of investigation include Genetics, Alcohol dependence, Genome-wide association study, Single-nucleotide polymorphism and Psychiatry.
Her work on Genetics deals in particular with Genetic association, Gene, Allele, Genotyping and CHRNA5.
Her work deals with themes such as Twin study, Substance dependence, Demography, GABRA2 and Risk factor, which intersect with Alcohol dependence.
Her studies in Genome-wide association study integrate themes in fields like Neuroticism, Big Five personality traits, Quantitative trait locus, Disease and Candidate gene.
Her research integrates issues of Internal medicine and Haplotype in her study of Single-nucleotide polymorphism.
The various areas that she examines in her Psychiatry study include Family aggregation, Sexual abuse, Clinical psychology and Heritability.
Her most cited work include:
- Genetic and environmental contributions to alcohol dependence risk in a national twin sample: consistency of findings in women and men. (709 citations)
- GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment (570 citations)
- Variants in nicotinic receptors and risk for nicotine dependence (510 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Genetics, Psychiatry, Genome-wide association study, Alcohol dependence and Single-nucleotide polymorphism.
Her study connects Nicotine and Genetics.
The study incorporates disciplines such as Demography and Clinical psychology in addition to Psychiatry.
Her Genome-wide association study research incorporates themes from Meta-analysis, Odds ratio, Genetic variation and Heritability.
Her work carried out in the field of Alcohol dependence brings together such families of science as Twin study, Antisocial personality disorder, Substance dependence and Risk factor.
Her Single-nucleotide polymorphism study incorporates themes from Quantitative trait locus, Polymorphism and Candidate gene.
She most often published in these fields:
- Genetics (36.85%)
- Psychiatry (22.92%)
- Genome-wide association study (21.57%)
What were the highlights of her more recent work (between 2016-2021)?
- Genome-wide association study (21.57%)
- Smoking cessation (11.69%)
- Psychiatry (22.92%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Genome-wide association study, Smoking cessation, Psychiatry, Genetics and Demography.
Genome-wide association study is a primary field of her research addressed under Single-nucleotide polymorphism.
Her study in Smoking cessation is interdisciplinary in nature, drawing from both Precision medicine, CHRNA5 and Internal medicine, Lung cancer, Nicotine.
Laura J. Bierut interconnects Young adult, Social media and Public health in the investigation of issues within Psychiatry.
Her Genetics study is mostly concerned with Gene, Genetic architecture, Phenotype, SNP and Genetic risk.
Her Demography study combines topics in areas such as Odds ratio, Observational study, Nicotine dependence, Smoking initiation and Cannabis.
Between 2016 and 2021, her most popular works were:
- Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (385 citations)
- Largest GWAS of PTSD (N=20 070) yields genetic overlap with schizophrenia and sex differences in heritability (219 citations)
- Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes (192 citations)
In her most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
Laura J. Bierut mainly investigates Genome-wide association study, Psychiatry, Genetics, Demography and Genetic association.
Her Genome-wide association study research is within the category of Single-nucleotide polymorphism.
Her work in Single-nucleotide polymorphism covers topics such as Genetic architecture which are related to areas like Nonsynonymous substitution and Genotype.
Many of her studies involve connections with topics such as Insulin resistance and Genetics.
Her Demography research includes elements of Body mass index, Epidemiology, Mendelian Randomization Analysis, Confidence interval and Cannabis.
Her research in Genetic association intersects with topics in Alcohol, Inverse Association and Anthropometry.
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