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      Unexpected role of SIX1 variants in craniosynostosis: expanding the phenotype of SIX1-related disorders

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          Abstract

          Background

          Pathogenic heterozygous SIX1 variants (predominantly missense) occur in branchio-otic syndrome (BOS), but an association with craniosynostosis has not been reported.

          Methods

          We investigated probands with craniosynostosis of unknown cause using whole exome/genome (n=628) or RNA (n=386) sequencing, and performed targeted resequencing of SIX1 in 615 additional patients. Expression of SIX1 protein in embryonic cranial sutures was examined in the Six1 nLacZ/+ reporter mouse.

          Results

          From 1629 unrelated cases with craniosynostosis we identified seven different SIX1 variants (three missense, including two de novo mutations, and four nonsense, one of which was also present in an affected twin). Compared with population data, enrichment of SIX1 loss-of-function variants was highly significant (p=0.00003). All individuals with craniosynostosis had sagittal suture fusion; additionally four had bilambdoid synostosis. Associated BOS features were often attenuated; some carrier relatives appeared non-penetrant. SIX1 is expressed in a layer basal to the calvaria, likely corresponding to the dura mater, and in the mid-sagittal mesenchyme.

          Conclusion

          Craniosynostosis is associated with heterozygous SIX1 variants, with possible enrichment of loss-of-function variants compared with classical BOS. We recommend screening of SIX1 in craniosynostosis, particularly when sagittal±lambdoid synostosis and/or any BOS phenotypes are present. These findings highlight the role of SIX1 in cranial suture homeostasis.

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          Most cited references20

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          The mutational constraint spectrum quantified from variation in 141,456 humans

          Genetic variants that inactivate protein-coding genes are a powerful source of information about the phenotypic consequences of gene disruption: genes that are crucial for the function of an organism will be depleted of such variants in natural populations, whereas non-essential genes will tolerate their accumulation. However, predicted loss-of-function variants are enriched for annotation errors, and tend to be found at extremely low frequencies, so their analysis requires careful variant annotation and very large sample sizes 1 . Here we describe the aggregation of 125,748 exomes and 15,708 genomes from human sequencing studies into the Genome Aggregation Database (gnomAD). We identify 443,769 high-confidence predicted loss-of-function variants in this cohort after filtering for artefacts caused by sequencing and annotation errors. Using an improved model of human mutation rates, we classify human protein-coding genes along a spectrum that represents tolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve the power of gene discovery for both common and rare diseases.
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            The sine oculis homeobox (SIX) family of transcription factors as regulators of development and disease.

            J. Kumar (2009)
            The sine oculis homeobox (SIX) protein family is a group of evolutionarily conserved transcription factors that are found in diverse organisms that range from flatworms to humans. These factors are expressed within, and play pivotal developmental roles in, cell populations that give rise to the head, retina, ear, nose, brain, kidney, muscle and gonads. Mutations within the fly and mammalian versions of these genes have adverse consequences on the development of these organs/tissues. Several SIX proteins have been shown to directly influence the cell cycle and are present at elevated levels during tumorigenesis and within several cancers. This review aims to highlight aspects of (1) the evolutionary history of the SIX family; (2) the structural differences and similarities amongst the different SIX proteins; (3) the role that these genes play in retinal development; and (4) the influence that these proteins have on cell proliferation and growth.
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              Single-Cell Transcriptomic Analyses of the Developing Meninges Reveal Meningeal Fibroblast Diversity and Function.

              The meninges are a multilayered structure composed of fibroblasts, blood and lymphatic vessels, and immune cells. Meningeal fibroblasts secrete a variety of factors that control CNS development, yet strikingly little is known about their heterogeneity or development. Using single-cell sequencing, we report distinct transcriptional signatures for fibroblasts in the embryonic dura, arachnoid, and pia. We define new markers for meningeal layers and show conservation in human meninges. We find that embryonic meningeal fibroblasts are transcriptionally distinct between brain regions and identify a regionally localized pial subpopulation marked by the expression of μ-crystallin. Developmental analysis reveals a progressive, ventral-to-dorsal maturation of telencephalic meninges. Our studies have generated an unparalleled view of meningeal fibroblasts, providing molecular profiles of embryonic meningeal fibroblasts by layer and yielding insights into the mechanisms of meninges development and function.
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                Author and article information

                Journal
                J Med Genet
                J Med Genet
                jmedgenet
                jmg
                Journal of Medical Genetics
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0022-2593
                1468-6244
                February 2022
                12 January 2021
                : 59
                : 2
                : 165-169
                Affiliations
                [1 ] departmentClinical Genetics Group, MRC Weatherall Institute of Molecular Medicine , University of Oxford , Oxford, UK
                [2 ] departmentInstitut Cochin, INSERM, CNRS , Université de Paris , Paris, France
                [3 ] departmentCentre for Computational Biology, MRC Weatherall Institute of Molecular Medicine , University of Oxford , Oxford, UK
                [4 ] departmentCentro de Estudos do Genoma Humano , Universidade de São Paulo , São Paulo, Brazil
                [5 ] departmentUnidade de Genética Clínica, Instituto da Criança do Hospital das Clínicas , Faculdade de Medicina da Universidade de São Paulo , São Paulo, Brazil
                [6 ] departmentInstituto de Biociências , Universidade de São Paulo , São Paulo, São Paulo, Brazil
                [7 ] departmentCenter for Developmental Biology and Regenerative Medicine , Seattle Children's Research Institute , Seattle, Washington, USA
                [8 ] departmentSeattle Children's Craniofacial Center, Seattle Children's Hospital, and Department of Pediatrics, Division of Craniofacial Medicine , University of Washington , Seattle, Washington, USA
                [9 ] departmentCraniofacial Unit , Oxford University Hospitals NHS Foundation Trust , Oxford, UK
                [10 ] departmentWest Midlands Regional Clinical Genetics Service and Birmingham Health Partners , Birmingham Women’s and Children’s Hospitals NHS Foundation Trust , Birmingham, UK
                [11 ] departmentHansjörg Wyss Department of Plastic Surgery , New York University Langone Medical Center , New York, New York, USA
                [12 ] Rockefeller University , New York, New York, USA
                Author notes
                [Correspondence to ] Prof Andrew O M Wilkie, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, Oxfordshire, UK; andrew.wilkie@ 123456imm.ox.ac.uk
                Author information
                http://orcid.org/0000-0001-6399-6528
                http://orcid.org/0000-0002-2972-5481
                Article
                jmedgenet-2020-107459
                10.1136/jmedgenet-2020-107459
                8273188
                33436522
                6513baad-aac3-4a2c-abc2-60f79c529661
                © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

                History
                : 17 September 2020
                : 07 December 2020
                : 09 December 2020
                Funding
                Funded by: VTCT Foundation;
                Funded by: FundRef http://dx.doi.org/10.13039/100010269, Wellcome;
                Award ID: 102731
                Funded by: NIHR UK Rare Genetic Disease Research Consortium, the MRC through the WIMM Strategic Alliance;
                Award ID: G0902418 and MC UU 12025
                Funded by: AFM;
                Award ID: 17406
                Funded by: NIH/NIDCR;
                Award ID: 5R01DE018227
                Funded by: FAPESP/CEPID;
                Award ID: 2013/08028-1 and 303712/2016-3
                Funded by: NIHR Oxford Biomedical Research Centre;
                Categories
                Genotype-Phenotype Correlations
                1506
                Short report
                Custom metadata
                unlocked

                Genetics
                musculoskeletal diseases
                Genetics
                musculoskeletal diseases

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