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。Shared heritability and functional enrichment across six solid cancers
Xia Jiang et al.
NATURE COMMUNICATIONS (2019)
Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
Guanghao Qi et al.
NATURE COMMUNICATIONS (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)
Blood lipid genetic scores, the HMGCR gene and cancer risk: a Mendelian randomization study
Marju Orho-Melander et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2018)
High-Density Lipoprotein Cholesterol and Mortality: Too Much of a Good Thing?
Mark Hamer et al.
ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY (2018)
The significance of cholesterol and its metabolite, 27-hydroxycholesterol in breast cancer
Erik R. Nelson
MOLECULAR AND CELLULAR ENDOCRINOLOGY (2018)
Post-trial follow-up methodology in large randomised controlled trials: a systematic review
Rebecca Llewellyn-Bennett et al.
TRIALS (2018)
The MR-Base platform supports systematic causal inference across the human phenome
Gibran Hemani et al.
ELIFE (2018)
Meta-analysis of genome-wide association studies for height and body mass index in ∼700 000 individuals of European ancestry
Loic Yengo et al.
HUMAN MOLECULAR GENETICS (2018)
A Mendelian randomization study of the effects of blood lipids on breast cancer risk
Christoph Nowake et al.
NATURE COMMUNICATIONS (2018)
Distinguishing genetic correlation from causation across 52 diseases and complex traits
Luke J. O'Connor et al.
NATURE GENETICS (2018)
Genetics of blood lipids among ∼300,000 multi-ethnic participants of the Million Veteran Program
Derek Klarin et al.
NATURE GENETICS (2018)
Extreme high high-density lipoprotein cholesterol is paradoxically associated with high mortality inmen and women: two prospective cohort studies
Christian M. Madsen et al.
EUROPEAN HEART JOURNAL (2017)
Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
Fernando Pires Hartwig et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2017)
HDL-cholesterol levels and risk of age-related macular degeneration: a multiethnic genetic study using Mendelian randomization
Qiao Fan et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2017)
Cholesterol, Cholesterol-Lowering Medication Use, and Breast Cancer Outcome in the BIG 1-98 Study
Signe Borgquist et al.
JOURNAL OF CLINICAL ONCOLOGY (2017)
Association analysis identifies 65 new breast cancer risk loci
Kyriaki Michailidou et al.
NATURE (2017)
Genetic effects on gene expression across human tissues
Francois Aguet et al.
NATURE (2017)
Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk
Felix R. Day et al.
NATURE GENETICS (2017)
Mendelian Randomization Implicates High-Density Lipoprotein Cholesterole Associated Mechanisms in Etiology of Age-Related Macular Degeneration
Stephen Burgess et al.
OPHTHALMOLOGY (2017)
Orienting the causal relationship between imprecisely measured traits using GWAS summary data
Gibran Hemani et al.
PLOS GENETICS (2017)
Local Genetic Correlation Gives Insights into the Shared Genetic Architecture of Complex Traits
Huwenbo Shi et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2017)
Quantifying the Genetic Correlation between Multiple Cancer Types
Sara Lindstrom et al.
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION (2017)
Global Cancer Incidence and Mortality Rates and Trends-An Update
Lindsey A. Torre et al.
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION (2016)
Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies
Philip C. Haycock et al.
AMERICAN JOURNAL OF CLINICAL NUTRITION (2016)
Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
Jack Bowden et al.
GENETIC EPIDEMIOLOGY (2016)
Apolipoproteins, lipids and risk of cancer
Signe Borgquist et al.
INTERNATIONAL JOURNAL OF CANCER (2016)
Detection and interpretation of shared genetic influences on 42 human traits
Joseph K. Pickrell et al.
NATURE GENETICS (2016)
RE: MULTIVARIABLE MENDELIAN RANDOMIZATION: THE USE OF PLEIOTROPIC GENETIC VARIANTS TO ESTIMATE CAUSAL EFFECTS
Stephen Burgess et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2015)
Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects
Stephen Burgess et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2015)
Cholesterol and breast cancer risk: a systematic review and meta-analysis of prospective studies
Mathilde Touvier et al.
BRITISH JOURNAL OF NUTRITION (2015)
Statin use and mortality in cancer patients: Systematic review and meta-analysis of observational studies
Shanliang Zhong et al.
CANCER TREATMENT REVIEWS (2015)
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
Jack Bowden et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2015)
Serum Lipids, Lipoproteins, and Risk of Breast Cancer: A Nested Case-Control Study Using Multiple Time Points
Lisa J. Martin et al.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2015)
The UK10K project identifies rare variants in health and disease
Klaudia Walter et al.
NATURE (2015)
An atlas of genetic correlations across human diseases and traits
Brendan Bulik-Sullivan et al.
NATURE GENETICS (2015)
Serum Lipids and Breast Cancer Risk: A Meta-Analysis of Prospective Cohort Studies
Haibo Ni et al.
PLOS ONE (2015)
Serum Lipids, Lipoproteins, and Risk of Breast Cancer: A Nested Case-Control Study Using Multiple Time Points
Lisa J. Martin et al.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2015)
Overweight, Obesity, and Postmenopausal Invasive Breast Cancer Risk A Secondary Analysis of the Women's Health Initiative Randomized Clinical Trials
Marian L. Neuhouser et al.
JAMA ONCOLOGY (2015)
The Interactions of Obesity, Inflammation and Insulin Resistance in Breast Cancer
David P. Rose et al.
CANCERS (2015)
ABO Blood Groups and Risk of Cancer: a Systematic Review and Meta-analysis
Bai-Lin Zhang et al.
ASIAN PACIFIC JOURNAL OF CANCER PREVENTION (2014)
MR_predictor: a simulation engine for Mendelian Randomization studies
Benjamin F. Voight
BIOINFORMATICS (2014)
Methodological Challenges in Mendelian Randomization
Tyler J. VanderWeele et al.
EPIDEMIOLOGY (2014)
Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome
Stephen Burgess
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2014)
Cholesterol and Cancer, in the Balance
Sandrine Silvente-Poirot et al.
SCIENCE (2014)
Discovery and refinement of loci associated with lipid levels
Cristen J. Willer et al.
NATURE GENETICS (2013)
Lipid Profiles and Risk of Breast and Ovarian Cancer in the Swedish AMORIS Study
Jennifer C. Melvin et al.
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION (2012)
Menarche, menopause, and breast cancer risk: individual participant meta-analysis, including 118 964 women with breast cancer from 117 epidemiological studies
V. Beral et al.
LANCET ONCOLOGY (2012)
Effects of age at menarche, reproductive years, and menopause on metabolic risk factors for cardiovascular diseases
Yan Feng et al.
ATHEROSCLEROSIS (2008)
Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies
Andrew G. Renehan et al.
LANCET (2008)
The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies
Erik von Elm et al.
PLOS MEDICINE (2007)
PLINK: A tool set for whole-genome association and population-based linkage analyses
Shaun Purcell et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2007)
Use of statins and breast cancer: A meta-analysis of seven randomized clinical trials and nine observational studies
S Bonovas et al.
JOURNAL OF CLINICAL ONCOLOGY (2005)
分享论文
