Showing results (281-290 of 335) with videos related to
Sort By:
Pageof 34
Frontiers in Genetics|August 26, 2021
<i>PRICKLE1</i> × <i>FOCAD</i> Interaction Revealed by Genome-Wide vQTL Analysis of Human Facial TraitsDongjing Liu, Hyo-Jeong Ban, Ahmed M El Sergani, et al.American Journal of Medical Genetics. Part A|January 26, 2021
CLARITY: Co-occurrences in achondroplasia-craniosynostosis, seizures, and decreased risk of diabetes mellitusJanet M Legare, Richard M Pauli, Jacqueline T Hecht, et al.Matrix Biology : Journal of the International Society for Matrix Biology|January 9, 2018
Mutant cartilage oligomeric matrix protein (COMP) compromises bone integrity, joint function and the balance between adipogenesis and osteogenesisFrancoise Coustry, Karen L Posey, Tristan Maerz, et al.Scientific Reports|June 2, 2018
GWAS reveals loci associated with velopharyngeal dysfunctionJonathan Chernus, Jasmien Roosenboom, Matthew Ford, et al.Scientific Reports|January 13, 2021
Impact of low-frequency coding variants on human facial shapeDongjing Liu, Nora Alhazmi, Harold Matthews, et al.Genetics in Medicine : Official Journal of the American College of Medical Genetics|April 16, 2023
Route of delivery does not impact postnatal surgical morbidity in pregnancies affected by fetal achondroplasiaBobby K Brar, Michael B Bober, Ethan Gough, et al.Sleep & Breathing = Schlaf & Atmung|January 23, 2025
Evolution of sleep disordered breathing in infants with achondroplasiaJanet M Legare, David G Ingram, Richard M Pauli, et al.Molecular Oncology|January 23, 2016
Excellent translational research in oncology: A journey towards novel and more effective anti-cancer therapiesA Rajan, A Berns, U Ringborg, et al.Journal of Neurosurgery. Pediatrics|June 4, 2021
Achondroplasia Natural History Study (CLARITY): 60-year experience in cervicomedullary decompression in achondroplasia from four skeletal dysplasia centersJanet M Legare, Chengxin Liu, Richard M Pauli, et al.Scientific Reports|July 8, 2022
Dental anomaly detection using intraoral photos via deep learningRonilo Ragodos, Tong Wang, Carmencita Padilla, et al.Pageof 34