eLife

Latest preprint reviews

1. Is competition for cellular resources a driver of complex trait heritability?

   This article has 4 authors:

   1. Olivier Naret
   2. Yuval Simons
   3. Jacques Fellay
   4. Jonathan K Pritchard

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This solid study addresses the unresolved question of why many thousands of small-effect loci contribute more to the heritability of a trait than the large-effect lead variants. The authors explore resource competition within the transcriptional machinery as one possible explanation with a simple theoretical model, concluding that the effects of resource competition would be too small to explain the heritability effects. The topic and approximation of the problem are important and offer an intuitive way to think about polygenic variation, but there are concerns on the derivation of the equations with respect to dropping vs. including certain terms that deal inherently with small numbers.

   Reviewed by eLife

2. We couldn't get details of this article at this time:
   10.1101/2023.06.06.543920

3. We couldn't get details of this article at this time:
   10.1101/2023.05.29.542712

4. We couldn't get details of this article at this time:
   10.1101/2022.10.05.22280750

5. A spinal synergy of excitatory and inhibitory neurons coordinates ipsilateral body movements

   This article has 10 authors:

   1. Marito Hayashi
   2. Miriam Gullo
   3. Gokhan Senturk
   4. Stefania Di Costanzo
   5. Shinji C. Nagasaki
   6. Ryoichiro Kageyama
   7. Itaru Imayoshi
   8. Martyn Goulding
   9. Samuel L. Pfaff
   10. Graziana Gatto

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This study makes important contributions to our understanding of spinal locomotor circuits by manipulating the function of excitatory and inhibitory V2 interneurons and revelaing their role in locomotor control. The data collected and the methods used by the authors are solid and the authors suggest that V2 excitatory and inhibitory neurons have antagonistic functions in intralimb coordination. This work will be of broad interest for neuroscientists studying development and function of motor circuits.

   Reviewed by eLife

6. We couldn't get details of this article at this time:
   10.1101/2022.09.30.510181

7. We couldn't get details of this article at this time:
   10.1101/2022.05.16.491352

8. We couldn't get details of this article at this time:
   10.1101/2023.06.14.544948

9. We couldn't get details of this article at this time:
   10.1101/2023.06.03.543535

10. Deep Learning Using High-Resolution Images of Forearm Predicts Fracture

    This article has 10 authors:

    1. Roland Chapurlat
    2. Serge Ferrari
    3. Xiaoxu Li
    4. Yu Peng
    5. Min Xu
    6. Min Bui
    7. Elisabeth Sornay-Rendu
    8. Eric lespessailles
    9. Emmanuel Biver
    10. Ego Seeman

    This article has been curated by 1 group:

    • Curated by eLife

      eLife assessment

      This study presents a valuable deep learning-based model for predicting fracture within the next five years from just a standard distal radius and ulna scan obtained using high-resolution computed tomography images. The evidence supporting the conclusion that the model-predicted fracture prediction score can be used clinically to identify women at risk of fracture more effectively than with the current standard clinical approach is convincing. This work will be of interest to biomechanists and biomedical engineers working on osteoporosis.

    Reviewed by eLife