2022 - Research.com Best Female Scientist Award
2019 - Fellow of the Australian Academy of Health and Medical Science
Sarah E. Medland focuses on Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Candidate gene. The concepts of her Genome-wide association study study are interwoven with issues in Schizophrenia, Bipolar disorder, Quantitative trait locus, Genetic architecture and Meta-analysis. Sarah E. Medland combines subjects such as Depression and Clinical psychology, Attention deficit hyperactivity disorder with her study of Meta-analysis.
Her Genetic association research is multidisciplinary, incorporating elements of Genome, Genomics and Computational biology. Sarah E. Medland interconnects Multiple comparisons problem, Memoria, Effects of sleep deprivation on cognitive performance, Genetic epidemiology and Allele in the investigation of issues within Single-nucleotide polymorphism. Her Candidate gene study combines topics in areas such as International HapMap Project, Phenotype and Imputation.
Sarah E. Medland mostly deals with Genome-wide association study, Genetics, Genetic association, Heritability and Single-nucleotide polymorphism. Her research integrates issues of Candidate gene, Meta-analysis, Evolutionary biology and Genetic architecture in her study of Genome-wide association study. Her research related to Quantitative trait locus, Allele, Linkage disequilibrium, Locus and SNP might be considered part of Genetics.
The Heritability study combines topics in areas such as Demography and Genetic correlation, Genetic variation. Demography is frequently linked to Body mass index in her study. The study incorporates disciplines such as Developmental psychology, Clinical psychology and Cohort in addition to Twin study.
Her primary areas of investigation include Genome-wide association study, Depression, Clinical psychology, Genetics and Cohort. Her studies in Genome-wide association study integrate themes in fields like Evolutionary biology, Mendelian randomization, Genetic correlation, Genetic association and Genetic architecture. Her Genetic association study combines topics from a wide range of disciplines, such as Odds ratio, Internal medicine, Brain morphometry and Heritability.
The various areas that Sarah E. Medland examines in her Clinical psychology study include Major depressive disorder, Miscarriage, Mendelian Randomization Analysis and Genetic testing. Meta-analysis and Brain asymmetry is closely connected to Neuroimaging in her research, which is encompassed under the umbrella topic of Major depressive disorder. Her biological study spans a wide range of topics, including Bipolar disorder, Disease and Schizophrenia.
Her primary scientific interests are in Genome-wide association study, Genetic association, Schizophrenia, Evolutionary biology and Depression. Her Genome-wide association study study introduces a deeper knowledge of Genetics. Her Genetic association study incorporates themes from Odds ratio, Brain morphometry, Neuroplasticity and Oncology.
Her studies deal with areas such as Eating disorders, Bipolar disorder and Major depressive disorder as well as Schizophrenia. Her work deals with themes such as Biobank, Genomics, Gene, Genetic heterogeneity and Genetic architecture, which intersect with Evolutionary biology. Her Depression research is multidisciplinary, relying on both Internal medicine, Cohort, Atrophy and Psychopathology.
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Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone.
Nature Genetics (2013)
Genetic studies of body mass index yield new insights for obesity biology
Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice.
Faculty of Health; Institute of Health and Biomedical Innovation (2015)
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
Naomi R. Wray;Stephan Ripke;Stephan Ripke;Stephan Ripke;Manuel Mattheisen;MacIej Trzaskowski.
Nature Genetics (2018)
Genome-wide association study identifies 74 loci associated with educational attainment
Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee.
A versatile gene-based test for genome-wide association studies
Jimmy Z. Liu;Allan F. Mcrae;Dale R. Nyholt;Sarah E. Medland.
American Journal of Human Genetics (2010)
Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
Jian Yang;Teresa Ferreira;Andrew P Morris;Sarah E Medland.
Nature Genetics (2012)
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang.
Identification of seven loci affecting mean telomere length and their association with disease
Veryan Codd;Christopher P Nelson;Eva Albrecht;Massimo Mangino.
Nature Genetics (2013)
Meta-Analysis of Genome-Wide Association Studies of Attention- Deficit/Hyperactivity Disorder
Benjamin M. Neale;Benjamin M. Neale;Sarah E. Medland;Sarah E. Medland;Stephan Ripke;Stephan Ripke;Philip Asherson.
Journal of the American Academy of Child and Adolescent Psychiatry (2010)
Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
Aysu Okbay;Bart M L Baselmans;Jan-Emmanuel De Neve;Patrick Turley.
Nature Genetics (2016)
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