4.8 Article

The genetic architecture and evolution of the human skeletal form

Journal

SCIENCE
Volume 381, Issue 6655, Pages 283-+

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.adf8009

Keywords

-

Ask authors/readers for more resources

By using deep-learning models to analyze 31,221 X-rays from the UK Biobank, a comprehensive set of skeletal proportions (SPs) was extracted and linked to 145 independent genetic loci. Limb proportions were found to have strong genetic sharing, but were independent of width and torso proportions. The study also identified specific genetic variants associated with osteoarthritis and hip/knee SPs, and revealed enrichment of SP loci in human accelerated regions and regulatory elements of genes differentially expressed between humans and great apes. This research provides insights into the genetic basis of skeletal form and its connection to human anatomical change and pathogenesis.
The human skeletal form underlies bipedalism, but the genetic basis of skeletal proportions (SPs) is not well characterized. We applied deep-learning models to 31,221 x-rays from the UK Biobank to extract a comprehensive set of SPs, which were associated with 145 independent loci genome-wide. Structural equation modeling suggested that limb proportions exhibited strong genetic sharing but were independent of width and torso proportions. Polygenic score analysis identified specific associations between osteoarthritis and hip and knee SPs. In contrast to other traits, SP loci were enriched in human accelerated regions and in regulatory elements of genes that are differentially expressed between humans and great apes. Combined, our work identifies specific genetic variants that affect the skeletal form and ties a major evolutionary facet of human anatomical change to pathogenesis.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available