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SHFM6 (OMIM 225300) is caused by WNT10B pathogenic variants (12q13.12). It is one of the rarest forms of SHFM; with only seven pathogenic variants described in the world literature. Furthermore, it has not been determined if SHFM6 has specific phenotypic characteristics. In this paper, we present a case series of three unrelated families with SHFM6 caused by three novel WNT10B pathogenic variants. The index patient of the first family was homozygous for the nonsense variant c.676C > T (p.Arg226*) in the WNT10B gene. The index case of the second family had a homozygous splice variant c.338-1G > C in the WNT10B gene. Finally, the index case of the third family carried two different variants in the WNT10B gene: A nonsense variant (p.Arg226*), and a missense variant (p.Gln86Pro). The latter represents the first compound heterozygous pathogenic variant related to SHFM6. We also offer a classification system for the hand/foot defects to illustrate the specific phenotypic characteristics of SHFM6. Based on this classification and a review of all previously reported cases, we demonstrate that SHFM6 caused by WNT10B pathogenic variants have the following characteristics: more severe feet defects (compared to the hand defects), polydactyly, severe flexion digital contractures, and phalangeal dysplasia.
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http://dx.doi.org/10.1016/j.ejmg.2019.103738 | DOI Listing |
Circ Genom Precis Med
September 2025
Feinberg School of Medicine, Northwestern University, Chicago, IL (Z.C., P.G., A.G., G.W.).
Background: Genetic variation contributes to atrial fibrillation (AF), but its impact may vary with age. The Research Program contains whole-genome sequencing of data from 100 574 adult participants with linked electronic health records.
Methods: We assessed clinical, monogenic, and polygenic associations with AF in a cross-sectional analysis, stratified by age: <45 years (n=22 290), 45 to 60 years (n=26 805), and >60 years (n=51 659).
Biotechnol J
September 2025
Department of Molecular Biosciences and Bioengineering, University of Hawai'i at Mānoa, Honolulu, Hawai'i, USA.
CRISPR technologies are rapidly transforming agriculture by enabling precise and programmable modifications across a wide range of organisms. This review provides an overview of CRISPR applications in crops, livestock, aquaculture, and microbial systems, highlighting key advances in sustainable agriculture. In crops, CRISPR has accelerated the improvement of traits such as drought tolerance, nutrient efficiency, and pathogen resistance.
View Article and Find Full Text PDFHGG Adv
September 2025
Department of Medicine IV, Faculty of Medicine, Medical Center-University of Freiburg, University of Freiburg, Freiburg, Germany; Medizinische Genetik Mainz, Limbach Genetics, Mainz, Germany. Electronic address:
Cystic kidney disease and related ciliopathies are caused by pathogenic variants in genes that commonly result in ciliary dysfunction. For a substantial number of individuals affected by those cilia-related diseases, the causative gene still remains unknown. Using massively parallel sequencing, we here identified a pathogenic bi-allelic variant in the gene encoding PALS1-Associated Tight Junction Protein (PATJ; also known as Inactivation-No-Afterpotential D-Like, INADL) in an individual with ciliopathy.
View Article and Find Full Text PDFGynecol Endocrinol
December 2025
National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Objective: To expand the clinical phenotype associated with MYRF mutations in disorders of sex development (DSDs).
Methods: We present a case of a 17-year-old patient with a female phenotype who presented with primary amenorrhea.
Results: The patient's external genitalia was entirely female in appearance, though there was no opening of vagina below the orifice of urethra.
Immunol Res
September 2025
Department of Immunology and Allergy, Faculty of Medicine, Necmettin Erbakan University, Konya, Türkiye.
Background: Variants of uncertain significance (VUS) represent a major diagnostic challenge in the interpretation of genetic testing results, particularly in the context of inborn errors of immunity such as severe combined immunodeficiency (SCID). The inconsistency among computational prediction tools often necessitates expensive and time-consuming wet-lab analyses.
Objective: This study aimed to develop disease-specific, multi-class machine learning models using in silico scores to classify SCID-associated genetic variants and improve the interpretation of VUS.