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Updated: Jan 16, 2026

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
Published on: July 2, 2021
Genetics of morphological hip abnormalities and their implications for osteoarthritis: a scoping review
Lainey G Bukowiec1,2, Elizabeth S Kaji2, John A Koch2
1Mayo Clinic Department of Orthopedic Surgery, 200 First St, Rochester, MN 55905, United States.
Insights
Morphological hip abnormalities (MHAs) can lead to early osteoarthritis and impaired function. Understanding the genetic and biomechanical factors is key to developing personalized treatments and preventing long-term hip problems.
Area of Science:
- Orthopedics and Genetics
- Biomechanical Engineering
Background:
- Morphological hip abnormalities (MHAs) significantly impact hip prognosis, leading to early osteoarthritis and functional impairment.
- Developmental dysplasia of the hip (DDH) and femoroacetabular impingement (FAI) are key MHAs resulting from abnormal femoral head coverage.
- These conditions alter hip biomechanics, causing damage, pain, and accelerated degeneration.
Purpose of the Study:
- To explore the genetic and biomechanical underpinnings of morphological hip abnormalities (MHAs).
- To understand the mechanisms linking hip morphology to osteoarthritis.
- To identify potential pathways for personalized interventions and early detection.
Main Methods:
- Review of genetic research linking specific genes (e.g., COL1A1, MMP13, IL-6, ADAMTS4, FRZB, TGF-β1) to MHAs and osteoarthritis.
- Integration of imaging techniques, including statistical shape modeling, to analyze 3D hip morphology.
- Biomechanical analysis to understand the impact of MHAs on joint function.
Main Results:
- Identified numerous genes implicated in osteoarthritis, DDH, and FAI, highlighting a genetic component in hip morphology.
- Established that altered hip biomechanics due to MHAs contribute to structural damage and degeneration.
- Highlighted the need for multimodal approaches combining genetics, imaging, and biomechanics.
Conclusions:
- Early detection of MHAs is crucial for preventing early-onset osteoarthritis.
- Multimodal strategies integrating genetics, advanced imaging, and biomechanics are essential for understanding disease subtypes and developing personalized treatments.
- Further research into genetic factors of other hip conditions like Slipped Capital Femoral Epiphysis and Legg-Calvé-Perthes disease is warranted.
Abstract:
Morphological hip abnormalities (MHAs) significantly influence lifelong prognosis of the hip, contributing to early-onset osteoarthritis and impaired functionality. Developmental dysplasia of the hip (DDH) and femoroacetabular impingement (FAI) represent key pathologies, resulting from insufficient or excessive femoral head coverage, respectively. These abnormalities alter hip biomechanics, leading to structural damage, pain, and accelerated joint degeneration. Advances in genetic research have illuminated the interplay between genetics and mechanical loading in shaping hip morphology. Genes associated with osteoarthritis, DDH, and FAI include COL1A1, MMP13, and IL-6. Genes associated with FAI and osteoarthritis include ADAMTS4. Genes associated with DDH and osteoarthritis include FRZB, CX3CR1, ASPN, DKK1, PDRG1, GDF5, UQCC1, and TGF-β1. The mechanisms linking morphological derangements to symptomatic osteoarthritis remain incompletely understood. Multimodal approaches integrating imaging, biomechanics, and genetics may uncover distinct disease subtypes, enabling personalized interventions. Early detection of MHAs is critical in preventing early-onset osteoarthritis. Incorporating advanced imaging techniques, such as statistical shape modelling, can enhance the understanding of complex 3D hip morphologies and their progression to osteoarthritis. Future research should explore the genetic underpinnings of other morphologic hip conditions, including Slipped Capital Femoral Epiphysis and Legg-Calvé-Perthes disease, to refine preventive and therapeutic strategies. A comprehensive approach combining genetics, imaging, and clinical insights holds promise for mitigating the lifelong impact of MHAs.
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