相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Genetic analysis of dietary intake identifies new loci and functional links with metabolic traits
Jordi Merino et al.
NATURE HUMAN BEHAVIOUR (2022)
Genomic analysis of diet composition finds novel loci and associations with health and lifestyle
S. Fleur W. Meddens et al.
MOLECULAR PSYCHIATRY (2021)
Causal relationship between dietary macronutrient composition and anthropometric measures: A bidirectional two-sample Mendelian randomization analysis
Dennis Freuer et al.
CLINICAL NUTRITION (2021)
Association of Lower Nutritional Status and Education Level with the Severity of Depression Symptoms in Older Adults-A Cross Sectional Survey
Zuzanna Chrzastek et al.
NUTRIENTS (2021)
Obesity and atypical depression symptoms: findings from Mendelian randomization in two European cohorts
Giorgio Pistis et al.
TRANSLATIONAL PSYCHIATRY (2021)
The association between depression and metabolic syndrome and its components: a bidirectional two-sample Mendelian randomization study
Min Zhang et al.
TRANSLATIONAL PSYCHIATRY (2021)
Associations Between Smoking, Alcohol Consumption, Physical Activity and Depression in Middle-Aged Premenopausal and Postmenopausal Women
Hyewon Kim et al.
FRONTIERS IN PSYCHIATRY (2021)
HPA Axis in the Pathomechanism of Depression and Schizophrenia: New Therapeutic Strategies Based on Its Participation
Joanna Mikulska et al.
BRAIN SCIENCES (2021)
Higher adiposity and mental health: causal inference using Mendelian randomization
Francesco Casanova et al.
HUMAN MOLECULAR GENETICS (2021)
Association between a low-carbohydrate diet and sleep status, depression, anxiety, and stress score
Elnaz Daneshzad et al.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE (2020)
STATISTICAL INFERENCE IN TWO-SAMPLE SUMMARY-DATA MENDELIAN RANDOMIZATION USING ROBUST ADJUSTED PROFILE SCORE
Qingyuan Zhao et al.
ANNALS OF STATISTICS (2020)
Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses
Ben Brumpton et al.
NATURE COMMUNICATIONS (2020)
Mendelian randomisation for nutritional psychiatry
Rebecca Carnegie et al.
LANCET PSYCHIATRY (2020)
Using genetics to understand the causal influence of higher BMI on depression
Jessica Tyrrell et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2019)
Sugar-sweetened beverages consumption and the risk of depression: A meta-analysis of observational studies
Hu Danqing et al.
JOURNAL OF AFFECTIVE DISORDERS (2019)
Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
Guanghao Qi et al.
NATURE COMMUNICATIONS (2019)
Understanding the consequences of education inequality on cardiovascular disease: mendelian randomisation study
Alice R. Carter et al.
BMJ-BRITISH MEDICAL JOURNAL (2019)
PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations
Mihir A. Kamat et al.
BIOINFORMATICS (2019)
Sugar rush or sugar crash? A meta-analysis of carbohydrate effects on mood
Konstantinos Mantantzis et al.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2019)
Investigating the association between body fat and depression via Mendelian randomization
Maria S. Speed et al.
TRANSLATIONAL PSYCHIATRY (2019)
Linking What We Eat to Our Mood: A Review of Diet, Dietary Antioxidants, and Depression
Qingyi Huang et al.
ANTIOXIDANTS (2019)
An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings
Eleanor Sanderson et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2019)
Risk Factors for Depression: An Autobiographical Review
Constance Hammen
Annual Review of Clinical Psychology (2018)
Evaluating the potential role of pleiotropy in Mendelian randomization studies
Gibran Hemani et al.
HUMAN MOLECULAR GENETICS (2018)
Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression
Jack Bowden et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2018)
Causal associations between body mass index and mental health: a Mendelian randomisation study
Nina van den Broek et al.
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH (2018)
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
Naomi R. Wray et al.
NATURE GENETICS (2018)
Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases
Marie Verbanck et al.
NATURE GENETICS (2018)
Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
Neil M. Davies et al.
BMJ-BRITISH MEDICAL JOURNAL (2018)
Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
Neil M. Davies et al.
BMJ-BRITISH MEDICAL JOURNAL (2018)
Epidemiology of Adult DSM-5 Major Depressive Disorder and Its Specifiers in the United States
Deborah S. Hasin et al.
JAMA PSYCHIATRY (2018)
The Trajectory from Mood to Obesity
Judith Wurtman et al.
CURRENT OBESITY REPORTS (2018)
A Large Multiethnic Genome-Wide Association Study of Adult Body Mass Index Identifies Novel Loci
Thomas J. Hoffmann et al.
GENETICS (2018)
Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
Fernando Pires Hartwig et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2017)
A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization
Jack Bowden et al.
STATISTICS IN MEDICINE (2017)
Extending the MR-Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy
Jessica M. B. Rees et al.
STATISTICS IN MEDICINE (2017)
Orienting the causal relationship between imprecisely measured traits using GWAS summary data
Gibran Hemani et al.
PLOS GENETICS (2017)
Mediation Analysis: A Practitioner's Guide
Tyler J. VanderWeele
ANNUAL REVIEW OF PUBLIC HEALTH, VOL 37 (2016)
PhenoScanner: a database of human genotype-phenotype associations
James R. Staley et al.
BIOINFORMATICS (2016)
Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
Jack Bowden et al.
GENETIC EPIDEMIOLOGY (2016)
Bias due to participant overlap in two-sample Mendelian randomization
Stephen Burgess et al.
GENETIC EPIDEMIOLOGY (2016)
New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk
Yingchang Lu et al.
NATURE COMMUNICATIONS (2016)
Influence of Tryptophan and Serotonin on Mood and Cognition with a Possible Role of the Gut-Brain Axis
Trisha A. Jenkins et al.
NUTRIENTS (2016)
Body mass index and psychiatric disorders: a Mendelian randomization study
Fernando Pires Hartwig et al.
SCIENTIFIC REPORTS (2016)
Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects
Stephen Burgess et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2015)
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
Jack Bowden et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2015)
New genetic loci link adipose and insulin biology to body fat distribution
Dmitry Shungin et al.
NATURE (2015)
Hypothalamic-pituitary-adrenal axis dysregulation and cortisol activity in obesity: A systematic review
Angela C. Incollingo Rodriguez et al.
PSYCHONEUROENDOCRINOLOGY (2015)
Mortality in Mental Disorders and Global Disease Burden Implications A Systematic Review and Meta-analysis
Elizabeth Reisinger Walker et al.
JAMA PSYCHIATRY (2015)
Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome
Stephen Burgess
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2014)
The ingestion of different dietary proteins by humans induces large changes in the plasma tryptophan ratio, a predictor of brain tryptophan uptake and serotonin synthesis
John D. Fernstrom et al.
CLINICAL NUTRITION (2013)
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
Stephen Burgess et al.
GENETIC EPIDEMIOLOGY (2013)
Serotonin receptors involved in antidepressant effects
Francesc Artigas
PHARMACOLOGY & THERAPEUTICS (2013)
Using multiple genetic variants as instrumental variables for modifiable risk factors
Tom M. Palmer et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2012)
Instrumental Variable Estimation of Causal Risk Ratios and Causal Odds Ratios in Mendelian Randomization Analyses
Tom M. Palmer et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2011)
Avoiding bias from weak instruments in Mendelian randomization studies
Stephen Burgess et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2011)
Influence of Consumption of a High-Protein vs. High-Carbohydrate Meal on the Physiological Cortisol and Psychological Mood Response in Men and Women
Sofie G. Lemmens et al.
PLOS ONE (2011)
Long-term Effects of a Very Low-Carbohydrate Diet and a Low-Fat Diet on Mood and Cognitive Function
Grant D. Brinkworth et al.
ARCHIVES OF INTERNAL MEDICINE (2009)
Dietary composition modulates brain mass and solubilizable A levels in a mouse model of aggressive Alzheimer's amyloid pathology
Steve Pedrini et al.
MOLECULAR NEURODEGENERATION (2009)
Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology
Debbie A. Lawlor et al.
STATISTICS IN MEDICINE (2008)
PLINK: A tool set for whole-genome association and population-based linkage analyses
Shaun Purcell et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2007)
Effects of carbohydrates on brain tryptophan availability and stress performance
C. R. Markus
BIOLOGICAL PSYCHOLOGY (2007)
Mendelian randomization as an instrumental variable approach to causal inference
Vanessa Didelez et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2007)
Maternal consumption of a high-meat, low-carbohydrate diet in late pregnancy: Relation to adult cortisol concentrations in the offspring
K Herrick et al.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM (2003)
The effect of food intake on mood
L Christensen
CLINICAL NUTRITION (2001)
A healthy body, a healthy mind: long-term impact of diet on mood and cognitive function
PJ Rogers
PROCEEDINGS OF THE NUTRITION SOCIETY (2001)