Maxim Freydin

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Lecturer in Medical Genetics

Queen Mary University of London

United Kingdom

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About

Maxim Freydin is a Lecturer in Medical Genetics at Queen Mary University of London, UK. His research focuses on the genetic underpinnings of chronic pain, musculoskeletal disorders, and the relationship between infections and pain. Recent articles explore areas such as the heritable pathways of chronic back pain, social deprivation's impact on infective endocarditis, and the role of the microbiome in treatment responses for rheumatoid arthritis.

Recent Grants

Grant: Close

The extent and genetic basis of inverse comorbidity

Open Date: 2023-03-01

Close Date: 2024-03-01

Grant: Close

Genetic factors of susceptibility to different forms of tuberculosis infection

Open Date: 2015-01-01

Close Date: 2017-12-31

Articles (26)

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2022

Collaborators (20)

Joel Rämö

University of Helsinki

FINLAND

Maxim Freydin

Research Interests

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About

Recent Grants

Articles (26)

The influence of social deprivation in infective endocarditis

Chronic widespread musculoskeletal pain shares a highly heritable latent pathway with atherosclerosis and arterial stiffness

Evidence for a Causal Association Between Human Cytomegalovirus Infection and Chronic Back Pain: A One‐Sample Mendelian Randomization Study

Decomposing the genetic background of chronic back pain

A multi-trait approach identified 7 novel genes for back pain

Quantitative sensory testing and chronic pain syndromes: a cross-sectional study from TwinsUK

The association of lumbar intervertebral disc degeneration with low back pain is modified by underlying genetic propensity to pain

Glycoprotein Acetyls Is a Novel Biomarker Predicting Cardiovascular Complications in Rheumatoid Arthritis

GlycA and CRP Are Genetically Correlated

No evidence of association between either Modic change or disc degeneration and five circulating inflammatory proteins

Treatment response in rheumatoid arthritis is predicted by the microbiome: a large observational study in UK DMARD-naive patients

A Mendelian randomization study finds no evidence for causal effects of C-reactive protein (CRP) on chronic pain conditions

Long-COVID fatigue is not predicted by pre-pandemic plasma IL-6 levels in mild COVID-19.

Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain

Apoptosis Genes as a Key to Identification of Inverse Comorbidity of Huntington’s Disease and Cancer

Association between HSPA8 Gene Variants and Ischemic Stroke: A Pilot Study Providing Additional Evidence for the Role of Heat Shock Proteins in Disease Pathogenesis

Ficolin‐3 and MASP‐2 gene variants in Siberian arctic populations: Summarized evidence of selective pressure for the high frequency of lectin complement pathway deficiency

Does Dysbiosis Play a Role in Age-Related Hearing Impairment?

Screening for Circulating Inflammatory Proteins Does Not Reveal Plasma Biomarkers of Constant Tinnitus

Repurposing Antihypertensive and Statin Medications for Spinal Pain

Bidirectional Mendelian Randomization Study of Personality Traits Reveals a Positive Feedback Loop Between Neuroticism and Back Pain

Individual Factors Including Age, BMI, and Heritable Factors Underlie Temperature Variation in Sickness and in Health

Genome-wide association meta-analysis identifies 48 risk variants and highlights the role of the stria vascularis in hearing loss

Understanding the complex genetic architecture connecting rheumatoid arthritis, osteoporosis, and inflammation

Causal effects of psychosocial factors on chronic back pain

Correction: Self-reported hearing loss questions provide a good measure for genetic studies: a polygenic risk score analysis from UK Biobank

Collaborators (20)

Joel Rämö

Mario Falchi

Jochen M Schwenk

Pirro Hysi

Frances Williams

Carole Sudre

Emma Duncan

Natalia Trpchevska

Elmo Saarentaus

David Bennett

Alessandra Borsini

Cynthia Morton

Alessia Visconti

Teemu Palviainen

Christopher R. Cederroth

Christine Le Maitre

Andries Paul Nagtegaal

Michael Malim

Lennart C. Karssen

Ruth Bowyer

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