An Axin2 mutation and perinatal risk factors contribute to sagittal craniosynostosis: evidence from a Chinese female monochorionic diamniotic twin family
Open accessAbstract
Background: Craniosynostosis, defined as premature fusion of one or more cranial sutures, affects approximately 1 in every 2000–2500 live births. Sagittal craniosynostosis (CS), the most prevalent form of isolated craniosynostosis, is caused by interplay between genetic and perinatal environmental insults. However, the underlying details remain largely unknown. Methods: The proband (a female monochorionic twin diagnosed with CS), her healthy co-twin sister and parents were enrolled. Obstetric history was extracted from medical records. Genetic screening was performed by whole exome sequencing (WES) and confirmed by Sanger sequencing. Functional annotation, conservation and structural analysis were predicted in public database. Phenotype data of Axin2 knockout mice was downloaded from The International Mouse Phenotyping Consortium (IMPC, http://www.mousephenotype.org). Results: Obstetric medical records showed that, except for the shared perinatal risk factors by the twins, the proband suffered additional persistent breech presentation and intrauterine growth restriction. We identified a heterozygous mutation of Axin2 (c.1181G > A, p.R394H, rs200899695) in monochorionic twins and their father, but not in the mother. This mutation is not reported in Asian population and results in replacement of Arg at residue 394 by His (p.R394H). Arg 394 is located at the GSK3β binding domain of Axin2 protein, which is highly conserved across species. The mutation was predicted to be potentially deleterious by in silico analysis. Incomplete penetrance of Axin2 haploinsufficiency was found in female mice. Conclusions: Axin2 (c.1181G > A, p.R394H, rs200899695) mutation confers susceptibility and perinatal risk factors trigger the occurrence of sagittal craniosynostosis. Our findings provide a new evidence for the gene-environment interplay in understanding pathogenesis of craniosynostosis in Chinese population.
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Increasing evidence implicates WNT/β-catenin signalling through AXIN1, AXIN2, and RUNX2 in sCS, suggesting that dysregulated osteoblast differentiation may be a recurrent biological mechanism.
“Similarly, increasing evidence implicates WNT/β-catenin signalling through AXIN1, AXIN2, and RUNX2, suggesting that dysregulated osteoblast differentiation may be a recurrent biological mechanism in sCS [58, 105, 118, 121].”
From Genetics versus environment in the pathophysiology of sagittal synostosis (2026) · cites this paper as [118]
Discordant phenotypes in genetically identical twins carrying the same variant, as reported for AXIN2 and ERF, suggest that genetic predisposition alone may not fully determine the phenotype and that additional modifiers are likely involved.
“The observation of discordant phenotypes in genetically identical twins carrying the same variant, as reported for AXIN2 and ERF, further suggests that genetic predisposition alone may not fully determine the phenotype and that additional modifiers are likely involved [63, 118].”
From Genetics versus environment in the pathophysiology of sagittal synostosis (2026) · cites this paper as [118]
Maternal occupation can increase exposure of metals and polycyclic aromatic hydrocarbons (PAHs) to the foetus.
“Another important factor that can influence skull growth and correct bone differentiation is maternal occupation, which can increase the exposure of metals [114, 118] and polycyclic aromatic hydrocarbons (PAHs) to the foetus [89].”
From Genetics versus environment in the pathophysiology of sagittal synostosis (2026) · cites this paper as [118]
The citation [89] is attached to the claim about fetal exposure to PAHs, not the separately cited claim about metals. The Discussion identifies breech presentation and intrauterine growth restriction as environmental insults, but our copy does not address maternal occupation or PAH exposure (searched: polycyclic aromatic hydrocarbons, PAHs, maternal occupation, occupational exposure). (LLM, conf=0.76)
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Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607 · see citing works
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895 · see citing works
ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
Wang, K., Li, M., & Hakonarson, H. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq603 · Cited by 14,380 · see citing works
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194 · see citing works
WebLogo: A Sequence Logo Generator: Figure 1Preprint
Crooks, G. E., Hon, G. C., Chandonia, J., & Brenner, S. E. (2004) · Genome Research · doi:10.1101/gr.849004 · Cited by 12,433 · see citing works
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063 · see citing works
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587 · see citing works
KEGG: new perspectives on genomes, pathways, diseases and drugs
Kanehisa, M., Furumichi, M., Tanabe, M., Sato, Y., & Morishima, K. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1092 · Cited by 8,865 · see citing works
Kumar, P., Henikoff, S., & Ng, P. C. (2009) · Nature Protocols · doi:10.1038/nprot.2009.86 · Cited by 6,521 · see citing works
I-TASSER: a unified platform for automated protein structure and function prediction
Roy, A., Küçükural, A., & Zhang, Y. (2010) · Nature Protocols · doi:10.1038/nprot.2010.5 · Cited by 6,093 · see citing works
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302 · see citing works
MutationTaster2: mutation prediction for the deep-sequencing age
Schwarz, J. M., Cooper, D. N., Schuelke, M., & Seelow, D. (2014) · Nature Methods · doi:10.1038/nmeth.2890 · Cited by 3,652 · see citing works
DOG 1.0: illustrator of protein domain structures
Ren, J., Wen, L.-P., Gao, X., Jin, C.-J., Xue, Y., & Yao, X.-B. (2009) · Cell Research · doi:10.1038/cr.2009.6 · Cited by 614 · see citing works
H3K4me3 breadth is linked to cell identity and transcriptional consistency
Benayoun, B. A., Pollina, E. A., Ucar, D., Mahmoudi, S., Karra, K., Wong, E. D., Devarajan, K., Daugherty, A. C., Kundaje, A. B., Mancini, E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.06.027 · Cited by 536 · see citing works
Villar, J., Giuliani, F., Bhutta, Z. A., Bertino, E., Ohuma, E. O., Ismail, L. C., Barros, F. C., Altman, D. G., Victora, C. G., Noble, J. A., et al. (2015) · The Lancet Global Health · doi:10.1016/s2214-109x(15)00163-1 · Cited by 360 · see citing works
The role of Axin2 in calvarial morphogenesis and craniosynostosis
Yu, H. I., Jerchow, B., Sheu, T., Liu, B., Costantini, F. D., Puzas, J. E., Birchmeier, W., & Hsu, W. (2005) · Development · doi:10.1242/dev.01786 · Cited by 355 · see citing works
Stem cells of the suture mesenchyme in craniofacial bone development, repair and regeneration
Maruyama, T., Jeong, J., Sheu, T., & Hsu, W. (2016) · Nature Communications · doi:10.1038/ncomms10526 · Cited by 261 · see citing works
Li, X., Li, Z., Zhou, H., Gaynor, S. M., Liu, Y., Chen, H., Sun, R., Dey, R., Arnett, D. K., Aslibekyan, S. W., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0676-4 · Cited by 242 · see citing works
Self-citationJustice, C. M., Yagnik, G., Kim, Y., Peter, I., Jabs, E. W., Erazo, M., Ye, X., Ainehsazan, E., Shi, L., Cunningham, M. L., et al. (2012) · Nature Genetics · doi:10.1038/ng.2463 · Cited by 140 · see citing works
Diagnostic value of exome and whole genome sequencing in craniosynostosis
Miller, K. A., Twigg, S. R. F., McGowan, S. J., Phipps, J. M., Fenwick, A. L., Johnson, D., Wall, S. A., Noons, P., Rees, K. E. M., Tidey, E. A., et al. (2016) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2016-104215 · Cited by 121 · see citing works
Changing Epidemiology of Nonsyndromic Craniosynostosis and Revisiting the Risk Factors
Lee, H. Q., Hutson, J. M., Wray, A. C., Lo, P. A., Chong, D. K., Holmes, A. D., & Greensmith, A. L. (2012) · Journal of Craniofacial Surgery · doi:10.1097/scs.0b013e318252d893 · Cited by 116 · see citing works
Muñoz‐Fuentes, V., Cacheiro, P., Meehan, T. F., Aguilar‐Pimentel, J. A., Brown, S. D. M., Flenniken, A. M., Flicek, P., Galli, A., Mashhadi, H. H., de Angelis, M. H., et al. (2018) · Conservation Genetics · doi:10.1007/s10592-018-1072-9 · Cited by 114 · see citing works
Fetal constraint as a potential risk factor for craniosynostosis
Sanchez‐Lara, P. A., Carmichael, S. L., Graham, J. M., Lammer, E. J., Shaw, G. M., Ma, C., & Rasmussen, S. A. (2010) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.33246 · Cited by 106 · see citing works
Liu, B., Yu, H. I., & Hsu, W. (2006) · Developmental Biology · doi:10.1016/j.ydbio.2006.10.018 · Cited by 103 · see citing works
Timberlake, A. T., Furey, C. G., Choi, J., Nelson-Williams, C. J., Loring, E. C., Galm, A., Kahle, K. T., Steinbacher, D. M., Larysz, D., Persing, J. A., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1709255114 · Cited by 101 · see citing works
Dempsey, R. F., Monson, L. A., Maricevich, R. S., Truong, T. A., Olarunnipa, S., Lam, S. K., Dauser, R. C., Hollier, L. H., & Buchanan, E. P. (2019) · Clinics in Plastic Surgery · doi:10.1016/j.cps.2018.11.001 · Cited by 100 · see citing works
Genetics of Nonsyndromic Craniosynostosis
Timberlake, A. T., & Persing, J. A. (2018) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000004374 · Cited by 80 · see citing works
A novel mutation, Ala315Ser, in FGFR2: a gene–environment interaction leading to craniosynostosis?
Johnson, D. W., Wall, S., Mann, S., & Wilkie, A. (2000) · European Journal of Human Genetics · doi:10.1038/sj.ejhg.5200499 · Cited by 76 · see citing works
Signaling mechanisms implicated in cranial sutures pathophysiology: Craniosynostosis
Katsianou, M. A., Adamopoulos, C., Vastardis, H., & Basdra, E. K. (2016) · BBA Clinical · doi:10.1016/j.bbacli.2016.04.006 · Cited by 66 · see citing works
Paumard‐Hernández, B., Berges‐Soria, J., Barroso, E., Rivera-Pedroza, C. I., Pérez‐Carrizosa, V., Benito‐Sanz, S., López-Messa, E., Santos, F., García‐Recuero, I., Romance, A. I., et al. (2014) · European Journal of Human Genetics · doi:10.1038/ejhg.2014.205 · Cited by 65 · see citing works
James, A. W., Levi, B., Xu, Y., Carre, A. L., & Longaker, M. T. (2010) · Plastic and Reconstructive Surgery · doi:10.1097/prs.0b013e3181d62980 · Cited by 52 · see citing works
Craniosynostosis and nutrient intake during pregnancy
Carmichael, S. L., Rasmussen, S. A., Lammer, E. J., Ma, C., Shaw, G. M., & Study, A. T. N. B. D. P. (2010) · Birth Defects Research Part A: Clinical and Molecular Teratology · doi:10.1002/bdra.20717 · Cited by 42 · see citing works
Gene/environment interactions in craniosynostosis: A brief review
Durham, E. L., Howie, R. N., & Cray, J. (2017) · Orthodontics and Craniofacial Research · doi:10.1111/ocr.12153 · Cited by 36 · see citing works
The East Flanders Prospective Twin Survey (EFPTS): 55 Years Later
Derom, C. A., Thiery, E. W., Rutten, B. P. F., Peeters, H., Gielen, M., Bijnens, E. M., VLIETINCK, R. F., & Weyers, S. (2019) · Twin Research and Human Genetics · doi:10.1017/thg.2019.64 · Cited by 35 · see citing works
Genetic and Epigenetic Influences of Twins on the Pathogenesis of Craniosynostosis
Lakin, G. E., Sinkin, J. C., Chen, R., Koltz, P. F., & Girotto, J. A. (2012) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0b013e31824422a8 · Cited by 33 · see citing works
A mouse informatics platform for phenotypic and translational discovery
Ring, N., Meehan, T. F., Blake, A., Brown, J. M., Chen, C.-K., Conte, N., Fenza, A. D., Fiegel, T., Horner, N., Jacobsen, J. O. B., et al. (2015) · Mammalian Genome · doi:10.1007/s00335-015-9599-2 · Cited by 32 · see citing works
The relationship between scaphocephaly at the skull vault and skull base in sagittal synostosis
Bendon, C. L., Sheerin, F., Wall, S. A., & Johnson, D. (2013) · Journal of Cranio-Maxillofacial Surgery · doi:10.1016/j.jcms.2013.05.009 · Cited by 27 · see citing works
Sergesketter, A. R., Elsamadicy, A. A., Lubkin, D. T., Krucoff, K. B., Krucoff, M. O., & Muh, C. R. (2018) · Journal of Craniofacial Surgery · doi:10.1097/scs.0000000000004997 · Cited by 20 · see citing works
A novel <i>AXIN2</i> gene mutation in sagittal synostosis
Yilmaz, E., Mihci, E., Guzel Nur, B., & Alper, O. M. (2018) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.40373 · Cited by 17 · see citing works
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de Roo, J. J. D., Chhatta, A. R., García-Pérez, L., Naber, B. A. E., Vloemans, S. A., Salvatori, D. C. F., Pike‐Overzet, K., Mikkers, H. M. M., & Staal, F. J. T. (2022) · Cells · doi:10.3390/cells11172679 · Cited by 5 · see citing works
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“Another important factor that can influence skull growth and correct bone differentiation is maternal occupation, which can increase the exposure of metals [114, 118] and polycyclic aromatic hydrocarbons (PAHs) to the foetus [89].”
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- Authors
- Xu, J., Yan, Q., Song, C., Liang, J., Zhao, L., Zhang, X., Weng, Z., Xu, C., Liu, Q., Xu, S., Pang, L., Zhang, L., Sun, Y., Wang, G., & Gu, A.
- Affiliations
- State Key Laboratory of Reproductive Medicine (CN)
- Nanjing Children's Hospital (CN)
- Shanghai Institute of Planned Parenthood Research (CN)
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
- Corresponding author
- Wang, Gang
- Gu, Aihua
- ORCID
- Venue
- Hereditas
- Published
- 2021-06-16
- Volume
- 158
- Issue
- 1
- Pages
- 20-20
- ISSN
- 0018-0661 (ISSN-L)
- 1601-5223
- PMC
- PMC8210395
- OpenAlex
- W3167495116
- Cited by
- 4
- References
- 40
- Citations by year
- 2026: 1 · 2025: 2 · 2022: 1
- FWCI
- 0.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Hereditas (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- the Jiangsu Students’ Platform for Innovation and Entrepreneurship Training Program (201810312036Y)
- the Opening Foundation of State Key Laboratory of Reproductive Medicine (SKLRM-K202009)
- National Natural Science Foundation of China (81703261)
- Natural Science Foundation of Jiangsu Province (BK20171060)
- Natural Science Foundation of the Jiangsu Higher Education Institutions of China (17KJB330002)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Craniofacial Disorders and Treatments
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Fetal and Pediatric Neurological Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- sagittal craniosynostosis, Axin2, monochorionic twins, perinatal risk factors, fetal growth restriction, breech presentation, haploinsufficiency, gene-environment interaction, Chinese population
- MeSH terms
- Exome Sequencing, Animals, China, Craniosynostoses, Female, Humans, Mutation, Risk Factors, Twins, Monozygotic, Mice, Knockout, Asian People, Mice, Axin Protein
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