A study, recently published in Science, has provided insights into the genetic underpinnings of the human skeletal form and its evolution. The research explored the skeletal proportions of over 30,000 UK Biobank participants using advanced imaging technology, unveiling a deeper understanding of human evolution, and its unintended consequences in musculoskeletal diseases.
The human skeletal form is unique among great apes, enabling our species to walk on two legs, a trait known as bipedalism. Despite extensive study in the field of paleoanthropology, the genetic basis of the specific growth patterns in our bones and their evolution has been challenging to decipher due to limited sample sizes. This study, however, addresses this by using a comprehensive set of skeletal proportions (SPs) obtained from X-ray images and deep-learning models.
Surprisingly, the study found that limb proportions are not correlated with body width proportions. Furthermore, it revealed links between certain hip- and leg-related skeletal proportions and osteoarthritis, a leading cause of adult disability in the United States.
The research team identified 145 independent genetic loci associated with skeletal traits. These loci are enriched in genes known to regulate skeletal development, including those associated with rare human skeletal diseases and abnormal skeletal phenotypes in mice. The data suggested that while limb proportions share strong genetic ties, they are independent of torso and width proportions.
Perhaps the most fascinating outcome of the study was the genetic evidence for evolutionary change in arm-to-leg and hip-width proportions. This finding resonates with notable changes observed in the fossil record of our hominin ancestors. Moreover, the research discovered that genetic variants associated with skeletal proportions are significantly enriched in human-accelerated regions. These are regions where mutations have occurred at a faster rate during human evolution compared to our closest primate relatives.
In conclusion, this study has validated the use of deep-learning models to identify specific genetic variants affecting the human skeletal form. The results tie a major facet of human evolutionary change to the pathogenesis of certain diseases. It opens new avenues in understanding the genetic basis of skeletal proportions and their evolution, underscoring the promise of using extensive imaging data from biobanks to comprehend both disease-related and normal physical variation among humans.
The human skeletal form is unique among great apes, enabling our species to walk on two legs, a trait known as bipedalism. Despite extensive study in the field of paleoanthropology, the genetic basis of the specific growth patterns in our bones and their evolution has been challenging to decipher due to limited sample sizes. This study, however, addresses this by using a comprehensive set of skeletal proportions (SPs) obtained from X-ray images and deep-learning models.
Surprisingly, the study found that limb proportions are not correlated with body width proportions. Furthermore, it revealed links between certain hip- and leg-related skeletal proportions and osteoarthritis, a leading cause of adult disability in the United States.
The research team identified 145 independent genetic loci associated with skeletal traits. These loci are enriched in genes known to regulate skeletal development, including those associated with rare human skeletal diseases and abnormal skeletal phenotypes in mice. The data suggested that while limb proportions share strong genetic ties, they are independent of torso and width proportions.
Perhaps the most fascinating outcome of the study was the genetic evidence for evolutionary change in arm-to-leg and hip-width proportions. This finding resonates with notable changes observed in the fossil record of our hominin ancestors. Moreover, the research discovered that genetic variants associated with skeletal proportions are significantly enriched in human-accelerated regions. These are regions where mutations have occurred at a faster rate during human evolution compared to our closest primate relatives.
In conclusion, this study has validated the use of deep-learning models to identify specific genetic variants affecting the human skeletal form. The results tie a major facet of human evolutionary change to the pathogenesis of certain diseases. It opens new avenues in understanding the genetic basis of skeletal proportions and their evolution, underscoring the promise of using extensive imaging data from biobanks to comprehend both disease-related and normal physical variation among humans.