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Related Concept Videos

Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
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In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
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Alleles are different forms of the same gene. Humans and other diploid organisms inherit two alleles of every gene, one from each parent.
Test Cross01:39

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Alleles are different forms of the same gene. Humans and other diploid organisms inherit two alleles of every gene, one from each parent.

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Quantification of Orofacial Phenotypes in Xenopus
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Speaking the same language? A direct cartography between functional knee phenotypes and CPAK.

Bernard de Geofroy1, Romain Léonard2, Sebastien Lustig3

  • 1Department of Orthopaedic Surgery Hôpital Privé Clairval, Ramsay Santé Marseille France.

Journal of Experimental Orthopaedics
|June 19, 2026
PubMed
Summary

The Coronal Plane Alignment of the Knee (CPAK) classification probabilistically relates to functional knee phenotypes (FKP). A new HCT-9 framework facilitates translation between these systems for total knee arthroplasty.

Keywords:
CPAKcoronal plane alignmentfunctional phenotypingknee arthroplastyprobabilistic mapping

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Area of Science:

  • Orthopedic surgery
  • Biomechanical analysis
  • Knee alignment research

Background:

  • Understanding knee alignment is crucial for total knee arthroplasty (TKA) outcomes.
  • Existing classifications like the Coronal Plane Alignment of the Knee (CPAK) aim to standardize knee assessment.
  • Functional knee phenotypes (FKP) offer a different perspective on native knee alignment variability.

Purpose of the Study:

  • To analytically map functional knee phenotypes (FKP) to the Coronal Plane Alignment of the Knee (CPAK) classification.
  • To evaluate CPAK's capacity to represent native coronal alignment in both non-osteoarthritic (NO) and osteoarthritic (OA) knees.
  • To propose a simplified translational framework between FKP and CPAK systems.

Main Methods:

  • Derived arithmetic hip-knee-ankle angle and joint line obliquity from mechanical angles for FKP to CPAK conversion.
  • Constructed a theoretical cartography using mean values and angular intervals.
  • Applied deterministic, interval propagation, Monte Carlo simulation, and least probable CPAK assignment strategies.
  • Validated conversions using NO and OA knee cohorts and compared with CPAK cohort data.

Main Results:

  • Each FKP corresponded to multiple CPAK types, indicating deterministic conversion underestimates variability.
  • Stochastic conversion in OA knees showed no significant difference from the original distribution, suggesting probabilistic convergence.
  • The HCT-9 framework identified zones of low and high ambiguity in alignment.
  • Extreme FKP types were overrepresented in the rare scenario analysis.

Conclusions:

  • The relationship between FKP and CPAK is inherently probabilistic.
  • The HCT-9 framework provides a structured method for translating between FKP and CPAK.
  • This framework supports a unified alignment language in total knee arthroplasty.