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。Genotype-by-environment interactions in chronic back pain
Ivan A. Kuznetsov et al.
SPINE JOURNAL (2023)
Rare SLC13A1 variants associate with intervertebral disc disorder highlighting role of sulfate in disc pathology
Gyda Bjornsdottir et al.
NATURE COMMUNICATIONS (2022)
IPRS: Leveraging Gene-Environment Interaction to Reconstruct Polygenic Risk Score
Yingdan Tang et al.
FRONTIERS IN GENETICS (2022)
Causal effects of psychosocial factors on chronic back pain: a bidirectional Mendelian randomisation study
Frances M. K. Williams et al.
EUROPEAN SPINE JOURNAL (2022)
Sex- and age-specific genetic analysis of chronic back pain
Maxim B. Freidin et al.
PAIN (2021)
Genome-wide association study identifies RNF123 locus as associated with chronic widespread musculoskeletal pain
Md Shafiqur Rahman et al.
ANNALS OF THE RHEUMATIC DISEASES (2021)
ISSLS Prize in Clinical Science 2020. Examining causal effects of body mass index on back pain: a Mendelian randomization study
Elizaveta E. Elgaeva et al.
EUROPEAN SPINE JOURNAL (2020)
Polygenic risk scores: from research tools to clinical instruments
Cathryn M. Lewis et al.
GENOME MEDICINE (2020)
Polygenic risk scores indicates genetic overlap between peripheral pain syndromes and chronic postsurgical pain
Roel R. van Reij et al.
NEUROGENETICS (2020)
Analysis of genetically independent phenotypes identifies shared genetic factors associated with chronic musculoskeletal pain conditions
Yakov A. Tsepilov et al.
COMMUNICATIONS BIOLOGY (2020)
Insight into the genetic architecture of back pain and its risk factors from a study of 509,000 individuals
Maxim B. Freidin et al.
PAIN (2019)
TwinsUK: The UK Adult Twin Registry Update
Serena Verdi et al.
TWIN RESEARCH AND HUMAN GENETICS (2019)
Improved polygenic prediction by Bayesian multiple regression on summary statistics
Luke R. Lloyd-Jones et al.
NATURE COMMUNICATIONS (2019)
Comparison of Genotypic and Phenotypic Correlations: Cheverud's Conjecture in Humans
Sebastian M. Sodini et al.
GENETICS (2018)
Mixed-model association for biobank-scale datasets
Po-Ru Loh et al.
NATURE GENETICS (2018)
Comparison of Genotypic and Phenotypic Correlations: Cheverud's Conjecture in Humans
Sebastian M. Sodini et al.
GENETICS (2018)
Genome-wide meta-analysis of 158,000 individuals of European ancestry identifies three loci associated with chronic back pain
Pradeep Suri et al.
PLOS GENETICS (2018)
Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016
Theo Vos et al.
LANCET (2017)
Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population
Anna Fry et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2017)
Genetic and Environmental Risk for Chronic Pain and the Contribution of Risk Variants for Major Depressive Disorder: A Family-Based Mixed-Model Analysis
Andrew M. McIntosh et al.
PLOS MEDICINE (2016)
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
Cathie Sudlow et al.
PLOS MEDICINE (2015)
Second-generation PLINK: rising to the challenge of larger and richer datasets
Christopher C. Chang et al.
GIGASCIENCE (2015)
Epidemiology of Low Back Pain in Adults
Laxmaiah Manchikanti et al.
NEUROMODULATION (2014)
Lumbar disc degeneration and genetic factors are the main risk factors for low back pain in women: the UK Twin Spine Study
Gregory Livshits et al.
ANNALS OF THE RHEUMATIC DISEASES (2011)
Heritability of Spinal Pain and Consequences of Spinal Pain: A Comprehensive Genetic Epidemiologic Analysis Using a Population-Based Sample of 15,328 Twins Ages 20-71 Years
Jan Hartvigsen et al.
ARTHRITIS CARE & RESEARCH (2009)
Structural, psychological, and genetic influences on low back and neck pain: A study of adult female twins
AJ MacGregor et al.
ARTHRITIS & RHEUMATISM-ARTHRITIS CARE & RESEARCH (2004)
分享论文
