“Causal Relevance of Different Blood Pressure Traits on Risk of Cardiovascular Diseases: GWAS and Mendelian Randomization in 100,000 Chinese Adults”, Pozarickij Et Al 2023

“Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian Randomization in 100,000 Chinese adults”⁠, Alfred Pozarickij, Wei Gan, Kuang Lin, Robert Clarke, Zammy Fairhurst-Hunter, Masaru Koido, Masahiro Kanai2023-01-20 (similar)

“Causal Association of Genetically Determined Circulating Vitamin D Metabolites and Calcium With Multiple Sclerosis in Participants of European Descent”, Zhang Et Al 2023

“Causal association of genetically determined circulating vitamin D metabolites and calcium with multiple sclerosis in participants of European descent”⁠, Yan Zhang, Haijie Liu, Haihua Zhang, Zhifa Han, Tao Wang, Longcai Wang, Guiyou Liu2023-01-12 (Vitamin D; similar)

“Leveraging Family Data to Design Mendelian Randomization That Is Provably Robust to Population Stratification”, LaPierre Et Al 2023

“Leveraging family data to design Mendelian Randomization that is provably robust to population stratification”⁠, Nathan LaPierre, Boyang Fu, Steven Turnbull, Eleazar Eskin, Sriram Sankararaman2023-01-06 (similar)

“Quantifying the Causal Impact of Biological Risk Factors on Healthcare Costs”, Lee Et Al 2022

“Quantifying the causal impact of biological risk factors on healthcare costs”⁠, Jiwoo Lee, Sakari Jukarainen, Padraig Dixon, Neil M. Davies, George Davey Smith, Pradeep Natarajan, Andrea Ganna2022-11-20 (economics; similar)

“Correction for Participation Bias in the UK Biobank Reveals Non-negligible Impact on Genetic Associations and Downstream Analyses”, Schoeler Et Al 2022

“Correction for participation bias in the UK Biobank reveals non-negligible impact on genetic associations and downstream analyses”⁠, Tabea Schoeler, Doug Speed, Eleonora Porcu, Nicola Pirastu, Jean-Baptiste Pingault, Zoltan Kutalik2022-09-28 (similar)

“Genome-wide Association Study Meta-analysis of Suicide Attempt in 43,871 Cases Identifies Twelve Genome-wide Statistically-significant Loci”, Docherty Et Al 2022

“Genome-wide association study meta-analysis of suicide attempt in 43,871 cases identifies twelve genome-wide statistically-significant loci”⁠, Anna R. Docherty, Niamh Mullins, Allison E. Ashley-Koch, Xue J. Qin, Jonathan Coleman, Andrey A. Shabalin2022-08-04 (ADHD⁠, MDD; similar)

“Multi-ancestry GWAS of Major Depression Aids Locus Discovery, Fine-mapping, Gene Prioritization, and Causal Inference”, Meng Et Al 2022

“Multi-ancestry GWAS of major depression aids locus discovery, fine-mapping, gene prioritization, and causal inference”⁠, Xiangrui Meng, Georgina Navoly, Olga Giannakopoulou, Daniel DL, Dora Koller, Gita Pathak, Nastassja Koen2022-07-21 (MDD; similar)

“MRSL: A Phenome-wide Causal Discovery Algorithm Based on GWAS Summary Data”, Hou Et Al 2022

“MRSL: A phenome-wide causal discovery algorithm based on GWAS summary data”⁠, Lei Hou, Zhi Geng, Xu Shi, Chuan Wang, Hongkai Li, Fuzhong Xue2022-06-30 (similar)

“The Contribution of Mate-choice, Couple Convergence and Confounding to Assortative Mating”, Sjaarda & Kutalik2022

“The contribution of mate-choice, couple convergence and confounding to assortative mating”⁠, Jennifer Sjaarda, Zoltán Kutalik2022-04-22 (similar)

“Genome-wide Association Study of Occupational Attainment As a Proxy for Cognitive Reserve”, Ko Et Al 2022

“Genome-wide association study of occupational attainment as a proxy for cognitive reserve”⁠, Hyunwoong Ko, Soyeon Kim, Kiwon Kim, Sang-Hyuk Jung, Injeong Shim, Soojin Cha, Hyewon Lee, Beomsu Kim2022-04-01 (IQ⁠, Alzheimer’s; similar)

“Sleep Duration and Brain Structure—phenotypic Associations and Genotypic Covariance”, Fjell Et Al 2022

“Sleep duration and brain structure—phenotypic associations and genotypic covariance”⁠, Anders Fjell, Oystein Sorensen, Yunpeng Wang, Inge K. Amlien, William Baare, David Bartres-Faz, Lars Bertram2022-02-17 (MDD⁠, neuroscience⁠, sleep; similar)

“Mendelian Randomization of Genetically Independent Aging Phenotypes Identifies LPA and VCAM1 As Biological Targets for Human Aging”, Timmers Et Al 2022

“Mendelian Randomization of genetically independent aging phenotypes identifies LPA and VCAM1 as biological targets for human aging”⁠, Paul R. H. J. Timmers, Evgeny S. Tiys, Saori Sakaue, Masato Akiyama, Tuomo T. J. Kiiskinen, Wei Zhou2022-01-20 (longevity; similar; bibliography)

“Educational Attainment, Health Outcomes and Mortality: a Within-sibship Mendelian Randomization Study”, Howe Et Al 2022

“Educational attainment, health outcomes and mortality: a within-sibship Mendelian randomization study”⁠, Laurence J. Howe, Humaira Rasheed, Paul R. Jones, Dorret I. Boomsma, David M. Evans, Alexandros Giannelis2022-01-13 (IQ/SES; similar)

“Polynomial Mendelian Randomization Reveals Widespread Non-linear Causal Effects in the UK Biobank”, Sulc Et Al 2021

“Polynomial Mendelian Randomization reveals widespread non-linear causal effects in the UK Biobank”⁠, Jonathan Sulc, Jenny Sjaarda, Zoltan Kutalik2021-12-10 (similar)

“A Selection Pressure Landscape for 870 Human Polygenic Traits”, Song Et Al 2021

“A selection pressure landscape for 870 human polygenic traits”⁠, Weichen Song, Yueqi Shi, Weidi Wang, Weihao Pan, Wei Qian, Shunying Yu, Min Zhao, Guan Ning Lin2021-11-15 (dysgenics⁠, ADHD⁠, anorexia⁠, psychiatry/autism⁠, SCZ; similar; bibliography)

“Genetically Proxied Diurnal Preference, Sleep Timing, and Risk of Major Depressive Disorder”, Daghlas Et Al 2021

“Genetically Proxied Diurnal Preference, Sleep Timing, and Risk of Major Depressive Disorder”⁠, Iyas Daghlas, Jacqueline M. Lane, Richa Saxena, Céline Vetter2021-05-26 (MDD⁠, sleep; backlinks; similar)

“The Relationship between Cannabis and Schizophrenia: a Genetically Informed Perspective”, Johnson Et Al 2021

“The relationship between cannabis and schizophrenia: a genetically informed perspective”⁠, Emma C. Johnson, Alexander S. Hatoum, Joseph D. Deak, Renato Polimanti, Robin M. Murray, Howard J. Edenberg2021-05-05 (marijuana⁠, SCZ; similar; bibliography)

“Causal Relationships between Genetically Determined Metabolites and Human Intelligence: a Mendelian Randomization Study”, Yang Et Al 2021

“Causal relationships between genetically determined metabolites and human intelligence: a Mendelian Randomization study”⁠, Jian Yang, Binbin Zhao, Li Qian, Fengjie Gao, Yanjuan Fan, Xiaoyan He, Qingyan Ma, Lihong Yang, Bin Yan2021-02-09 (IQ⁠, neuroscience; similar)

“Disentangling Sex Differences in the Shared Genetic Architecture of Post-traumatic Stress Disorder, Traumatic Experiences, and Social Support With Body Size and Composition”, Carvalho Et Al 2021

“Disentangling sex differences in the shared genetic architecture of post-traumatic stress disorder, traumatic experiences, and social support with body size and composition”⁠, Carolina Carvalho, Frank Wendt, Gita A. Pathak, Adam Maihofer, Dan Stein, Jennifer Sumner, Sian Hemmings2021-01-26 (psychiatry; similar)

“Evidence for Shared Genetics between Physical Activity, Sedentary Behaviour and Adiposity-related Traits”, Schnurr Et Al 2020

“Evidence for shared genetics between physical activity, sedentary behaviour and adiposity-related traits”⁠, Theresia M. Schnurr, Bente M. Stallknecht, Thorkild I.A. Sørensen, Tuomas O. Kilpeläinen, Torben Hansen2020-12-22 (exercise; similar)

“A Genetic Perspective on the Association between Exercise and Mental Health in the Era of Genome-wide Association Studies”, Geus2020

“A genetic perspective on the association between exercise and mental health in the era of genome-wide association studies”⁠, Eco J. C. de Geus2020-12-14 (exercise; backlinks; similar)

“Discovery of Rare Variants Associated With Blood Pressure Regulation through Meta-analysis of 1.3 Million Individuals”, Surendran Et Al 2020

“Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals”⁠, Praveen Surendran, Elena V. Feofanova, Najim Lahrouchi, Ioanna Ntalla, Savita Karthikeyan, James Cook2020-11-23 (rare genes; similar)

“Genetic Predictors of Educational Attainment and Intelligence Test Performance Predict Voter Turnout”, Aarøe Et Al 2020

“Genetic predictors of educational attainment and intelligence test performance predict voter turnout”⁠, Lene Aarøe, Vivek Appadurai, Kasper M. Hansen, Andrew J. Schork, Thomas Werge, Ole Mors, Anders D. Børglum2020-11-09 (IQ⁠, politics; similar)

“Use of Genetically Informed Methods to Clarify the Nature of the Association Between Cannabis Use and Risk for Schizophrenia”, Gillespie & Kendler2020

“Use of Genetically Informed Methods to Clarify the Nature of the Association Between Cannabis Use and Risk for Schizophrenia”⁠, Nathan A. Gillespie, Kenneth S. Kendler2020-11-04 (marijuana⁠, SCZ; similar)

“Amyloid, Tau and Risk of Alzheimer’s Disease: a Mendelian Randomization Study”, Yeung Et Al 2020

“Amyloid, tau and risk of Alzheimer’s disease: a Mendelian Randomization study”⁠, Chris Ho Ching Yeung, Kathleen Wen Din Lau, Shiu Lun Au Yeung, C. Mary Schooling2020-09-14 (Alzheimer’s; similar)

“An Exposure-Wide and Mendelian Randomization Approach to Identifying Modifiable Factors for the Prevention of Depression”, Choi Et Al 2020

“An Exposure-Wide and Mendelian Randomization Approach to Identifying Modifiable Factors for the Prevention of Depression”⁠, Karmel W. Choi, Murray B. Stein, Kristen M. Nishimi, Tian Ge, Jonathan R. I. Coleman, Chia-Yen Chen, Andrew Ratanatharathorn2020-08-14 (exercise⁠, MDD⁠, psychology; similar)

“Genome-wide Meta-analysis of Problematic Alcohol Use in 435,563 Individuals Yields Insights into Biology and Relationships With Other Traits”, Zhou Et Al 2020

“Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits”⁠, Hang Zhou, Julia M. Sealock, Sandra Sanchez-Roige, Toni-Kim Clarke, Daniel F. Levey, Zhongshan Cheng2020-05-25 (similar)

“Mendelian Randomization Accounting for Correlated and Uncorrelated Pleiotropic Effects Using Genome-wide Summary Statistics”, Morrison Et Al 2020

“Mendelian Randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics”⁠, Jean Morrison, Nicholas Knoblauch, Joseph H. Marcus, Matthew Stephens, Xin He2020 (backlinks; similar)

“The Interplay between Host Genetics and the Gut Microbiome Reveals Common and Distinct Microbiome Features for Human Complex Diseases”, Xu Et Al 2019

“The interplay between host genetics and the gut microbiome reveals common and distinct microbiome features for human complex diseases”⁠, Fengzhe Xu, Yuanqing Fu, Ting-yu Sun, Zengliang Jiang, Zelei Miao, Menglei Shuai, Wanglong Gou, Chu-wen Ling2019-12-26 (microbiome; similar)

“Genetic Analysis Identifies Molecular Systems and Biological Pathways Associated With Household Income”, Hill Et Al 2019

“Genetic analysis identifies molecular systems and biological pathways associated with household income”⁠, W. David Hill, Neil M. Davies, Stuart J. Ritchie, Nathan G. Skene, Julien Bryois, Steven Bell, Emanuele Di Angelantonio2019-03-12 (IQ/SES; similar)

“Genome-wide Association Study Identifies Genetic Loci for Self-reported Habitual Sleep Duration Supported by Accelerometer-derived Estimates”, Dashti Et Al 2019

“Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates”⁠, Hassan S. Dashti, Samuel E. Jones, Andrew R. Wood, Jacqueline M. Lane, Vincent T. van Hees, Heming Wang2019-03-07 (psychiatry⁠, sleep; similar; bibliography)

“Cannabis Use, Depression and Self-harm: Phenotypic and Genetic Relationships”, Hodgson Et Al 2019

“Cannabis use, depression and self-harm: phenotypic and genetic relationships”⁠, K. Hodgson, J. R. I. Coleman, S. P. Hagenaars, K. L. Purves, K. Glanville, S. W. Choi, P. O’Reilly, G. Breen2019-02-14 (marijuana⁠, MDD; similar)

“Schizophrenia Risk and Reproductive Success: a Mendelian Randomization Study”, Lawn Et Al 2019

“Schizophrenia risk and reproductive success: a Mendelian Randomization study”⁠, Rebecca B. Lawn, Hannah M. Sallis, Amy E. Taylor, Robyn E. Wootton, George Davey Smith, Neil M. Davies2019 (human evolution⁠, SCZ; backlinks; similar)

“Distinguishing Genetic Correlation from Causation across 52 Diseases and Complex Traits”, O’Connor & Price2018

“Distinguishing genetic correlation from causation across 52 diseases and complex traits”⁠, Luke J. O’Connor, Alkes L. Price2018-10-29 (backlinks; similar)

“The Landscape of Pervasive Horizontal Pleiotropy in Human Genetic Variation Is Driven by Extreme Polygenicity of Human Traits and Diseases”, Jordan Et Al 2018

“The landscape of pervasive horizontal pleiotropy in human genetic variation is driven by extreme polygenicity of human traits and diseases”⁠, Daniel M. Jordan, Marie Verbanck, Ron Do2018-04-30 (backlinks; similar)

“GWAS in 446,118 European Adults Identifies 78 Genetic Loci for Self-reported Habitual Sleep Duration Supported by Accelerometer-derived Estimates”, Dashti Et Al 2018

“GWAS in 446,118 European adults identifies 78 genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates”⁠, Hassan S. Dashti, Samuel E. Jones, Andrew R. Wood, Jacqueline M. Lane, Vincent T. van Hees, Heming Wang2018-04-19 (SCZ⁠, sleep; similar)

“Meta-analysis of Genome-wide Association Studies for Height and Body Mass Index in ∼700,000 Individuals of European Ancestry”, Yengo Et Al 2018

“Meta-analysis of genome-wide association studies for height and body mass index in ∼700,000 individuals of European ancestry”⁠, Loic Yengo, Julia Sidorenko, Kathryn E. Kemper, Zhili Zheng, Andrew R. Wood, Michael N. Weedon, Timothy M. Frayling2018-03-22 (backlinks; similar)

“A Genetic Perspective on the Relationship between Eudaimonic and Hedonic Well-being”, Baselmans & Bartels2018

“A genetic perspective on the relationship between eudaimonic and hedonic well-being”⁠, B. M. L. Baselmans, M. Bartels2018-03-15 (personality; similar)

“Genome-wide Analysis of Insomnia (N = 1,331,010) Identifies Novel Loci and Functional Pathways”, Jansen Et Al 2018

“Genome-wide Analysis of Insomnia (N = 1,331,010) Identifies Novel Loci and Functional Pathways”⁠, Philip R. Jansen, Kyoko Watanabe, Sven Stringer, Nathan Skene, Julien Bryois, Anke R. Hammerschlag, Christiaan A. de Leeuw2018-01-30 (psychiatry⁠, sleep; similar)

“Meta-analysis of Genome-wide Association Studies for Height and Body Mass Index in ∼700000 Individuals of European Ancestry”, Yengo Et Al 2018

“Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry”⁠, Loic Yengo, Julia Sidorenko, Kathryn E. Kemper, Zhili Zheng, Andrew R. Wood, Michael N. Weedon, Timothy M. Frayling2018 (backlinks; similar)

“Genome-wide Association Meta-analysis in 269,867 Individuals Identifies New Genetic and Functional Links to Intelligence”, Savage Et Al 2018

“Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence”⁠, Jeanne E. Savage, Philip R. Jansen, Sven Stringer, Kyoko Watanabe, Julien Bryois, Christiaan A. de Leeuw2018 (IQ⁠, Alzheimer’s⁠, SCZ; backlinks; similar)

“GWAS of Lifetime Cannabis Use Reveals New Risk Loci, Genetic Overlap With Psychiatric Traits, and a Causal Influence of Schizophrenia”, Pasman Et Al 2018

“GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia”⁠, Joëlle A. Pasman, Karin J. H. Verweij, Zachary Gerring, Sven Stringer, Sandra Sanchez-Roige, Jorien L. Treur2018 (marijuana⁠, psychiatry; similar)

“Detection of Widespread Horizontal Pleiotropy in Causal Relationships Inferred from Mendelian Randomization between Complex Traits and Diseases”, Verbanck Et Al 2018

“Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian Randomization between complex traits and diseases”⁠, Marie Verbanck, Chia-Yen Chen, Benjamin Neale, Ron Do2018 (backlinks; similar)

“Fitness, Physical Activity, and Cardiovascular Disease: Longitudinal and Genetic Analyses in the UK Biobank Study”, Tikkanen Et Al 2017

“Fitness, Physical Activity, and Cardiovascular Disease: Longitudinal and Genetic Analyses in the UK Biobank Study”⁠, Emmi Tikkanen, Stefan Gustafsson, Erik Ingelsson2017-05-12 (exercise; similar)

“Extending the MR-Egger Method for Multivariable Mendelian Randomization to Correct for Both Measured and Unmeasured Pleiotropy”, Rees Et Al 2017

“Extending the MR-Egger method for multivariable Mendelian Randomization to correct for both measured and unmeasured pleiotropy”⁠, Jessica M. B. Rees, Angela M. Wood, Stephen Burgess2017 (backlinks; similar)

“Genomic Analyses for Age at Menarche Identify 389 Independent Signals and Indicate BMI-independent Effects of Puberty Timing on Cancer Susceptibility”, Day Et Al 2016

“Genomic analyses for age at menarche identify 389 independent signals and indicate BMI-independent effects of puberty timing on cancer susceptibility”⁠, Felix R. Day, Deborah J. Thompson, Hannes Helgason, Daniel I. Chasman, Hilary Finucane, Patrick Sulem2016-09-23 (similar)

“Physical and Neurobehavioral Determinants of Reproductive Onset and Success”, Day Et Al 2016

“Physical and neurobehavioral determinants of reproductive onset and success”⁠, Felix R. Day, Hannes Helgason, Daniel I. Chasman, Lynda M. Rose, Po-Ru Loh, Robert A. Scott, Agnar Helgason2016-04-18 (backlinks; similar)

“Height, Body Mass Index, and Socioeconomic Status: Mendelian Randomization Study in UK Biobank”, Tyrrell & Al 2016

“Mendelian Randomization With Invalid Instruments: Effect Estimation and Bias Detection through Egger Regression (MR-Egger)”, Bowden Et Al 2015

“Mendelian Randomization with invalid instruments: effect estimation and bias detection through Egger regression (MR-Egger)”⁠, Jack Bowden, George Davey Smith, Stephen Burgess2015-06-06 (statistics/causality; backlinks; similar)

“Mendelian Randomization: Can Genetic Epidemiology Help Redress the Failures of Observational Epidemiology?”, Ebrahim & Smith2007

“Mendelian Randomization: can genetic epidemiology help redress the failures of observational epidemiology?”⁠, Shah Ebrahim, George Davey Smith2007-11-23 (backlinks; similar)

“Clustered Environments and Randomized Genes: A Fundamental Distinction between Conventional and Genetic Epidemiology”, Smith Et Al 2007

“Clustered Environments and Randomized Genes: A Fundamental Distinction between Conventional and Genetic Epidemiology”⁠, George Davey Smith, Debbie A. Lawlor, Roger Harbord, Nic Timpson, Ian Day, Shah Ebrahim2007-10-30 (statistics/causality; backlinks; similar)

“A Cautionary Note on the Use of Mendelian Randomization to Infer Causation in Observational Epidemiology”, Bochud Et Al 2007

“A cautionary note on the use of Mendelian Randomization to infer causation in observational epidemiology”⁠, Murielle Bochud, Arnaud Chiolero, Robert C. Elston, Fred Paccaud2007-09-19 (similar)

“Genetic Epidemiology and Public Health: Hope, Hype, and Future Prospects”, Smith Et Al 2005

“Genetic epidemiology and public health: hope, hype, and future prospects”⁠, George Davey Smith, Shah Ebrahim, Sarah Lewis, Anna L. Hansell, Lyle J. Palmer, Paul R. Burton2005-10-22 (similar)

“What Can Mendelian Randomization Tell Us about Modifiable Behavioural and Environmental Exposures?”, Smith & Ebrahim2005

“What can Mendelian Randomization tell us about modifiable behavioural and environmental exposures?”⁠, George Davey Smith, Shah Ebrahim2005-05-07

Wikipedia

1. Instrumental variables estimation

2. Mendelian inheritance

3. Mendelian Randomization