Gene-gene/gene-environment interaction of transforming growth factor-β signaling pathway and the risk of non-syndromic oral clefts

  • Tianjiao HOU ,
  • Zhibo ZHOU ,
  • Zhuqing WANG ,
  • Mengying WANG ,
  • Siyue WANG ,
  • Hexiang PENG ,
  • Huangda GUO ,
  • Yixin LI ,
  • Hanyu ZHANG ,
  • Xueying QIN ,
  • Yiqun WU ,
  • Hongchen ZHENG ,
  • Jing LI ,
  • Tao WU ,
  • Hongping ZHU
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  • 1. Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
    2. Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
    3. Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, NMPA Key Laboratory for Dental Materials, Beijing 100081, China
    4. Department of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China
    5. Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, NMPA Key Laboratory for Dental Materials, Beijing 100081, China

Received date: 2024-02-18

  Online published: 2024-06-12

Supported by

Supported by the National Natural Science Foundation of China(81573225)

Abstract

Objective: To explore the association between polymorphisms of transforming growth factor-β (TGF-β) signaling pathway and non-syndromic cleft lip with or without cleft palate (NSCL/P) among Asian populations, while considering gene-gene interaction and gene-environment interaction. Methods: A total of 1 038 Asian NSCL/P case-parent trios were ascertained from an international consortium, which conducted a genome-wide association study using a case-parent trio design to investigate the genes affec-ting risk to NSCL/P. After stringent quality control measures, 343 single nucleotide polymorphism (SNP) spanning across 10 pivotal genes in the TGF-β signaling pathway were selected from the original genome-wide association study(GWAS) dataset for further analysis. The transmission disequilibrium test (TDT) was used to test for SNP effects. The conditional Logistic regression models were used to test for gene-gene interaction and gene-environment interaction. Environmental factors collected for the study included smoking during pregnancy, passive smoking during pregnancy, alcohol intake during pregnancy, and vitamin use during pregnancy. Due to the low rates of exposure to smoking during pregnancy and alcohol consumption during pregnancy (<3%), only the interaction between maternal smoking during pregnancy and multivitamin supplementation during pregnancy was analyzed. The threshold for statistical significance was rigorously set at P =1.46×10-4, applying Bonferroni correction to account for multiple testing. Results: A total of 23 SNPs in 4 genes yielded nominal association with NSCL/P (P<0.05), but none of these associations was statistically significant after Bonferroni' s multiple test correction. However, there were 6 pairs of SNPs rs4939874 (SMAD2) and rs1864615 (TGFBR2), rs2796813 (TGFB2) and rs2132298 (TGFBR2), rs4147358 (SMAD3) and rs1346907 (TGFBR2), rs4939874 (SMAD2) and rs1019855 (TGFBR2), rs4939874 (SMAD2) and rs12490466 (TGFBR2), rs2009112 (TGFB2) and rs4075748 (TGFBR2) showed statistically significant SNP-SNP interaction (P<1.46×10-4). In contrast, the analysis of gene-environment interactions did not yield any significant results after being corrected by multiple testing. Conclusion: The comprehensive evaluation of SNP associations and interactions within the TGF-β signaling pathway did not yield any direct associations with NSCL/P risk in Asian populations. However, the significant gene-gene interactions identified suggest that the genetic architecture influencing NSCL/P risk may involve interactions between genes within the TGF-β signaling pathway. These findings underscore the necessity for further investigations to unravel these results and further explore the underlying biological mechanisms.

Cite this article

Tianjiao HOU , Zhibo ZHOU , Zhuqing WANG , Mengying WANG , Siyue WANG , Hexiang PENG , Huangda GUO , Yixin LI , Hanyu ZHANG , Xueying QIN , Yiqun WU , Hongchen ZHENG , Jing LI , Tao WU , Hongping ZHU . Gene-gene/gene-environment interaction of transforming growth factor-β signaling pathway and the risk of non-syndromic oral clefts[J]. Journal of Peking University(Health Sciences), 2024 , 56(3) : 384 -389 . DOI: 10.19723/j.issn.1671-167X.2024.03.002

References

1 Awotoye W , Mossey PA , Hetmanski JB , et al. Whole-genome sequencing reveals de-novo mutations associated with nonsyndromic cleft lip/palate[J]. Sci Rep, 2022, 12 (1): 11743.
2 Razaghi-Moghadam Z , Namipashaki A , Farahmand S , et al. Systems genetics of nonsyndromic orofacial clefting provides insights into its complex aetiology[J]. Eur J Hum Genet, 2019, 27 (2): 226- 234.
3 Won HJ , Kim JW , Won HS , et al. Gene regulatory networks and signaling pathways in palatogenesis and cleft palate: A comprehensive review[J]. Cells, 2023, 12 (15): 1954.
4 Li J , Rodriguez G , Han X , et al. Regulatory mechanisms of soft palate development and malformations[J]. J Dent Res, 2019, 98 (9): 959- 967.
5 Smane-Filipova L , Pilmane M , Akota I . Immunohistochemical analysis of nestin, CD34 and TGFβ3 in facial tissue of children with complete unilateral and bilateral cleft lip and palate[J]. Stomatologija, 2016, 18 (3): 98- 104.
6 Guo Z , Huang C , Ding K , et al. Transforming growth factor beta-3 and environmental factors and cleft lip with/without cleft palate[J]. DNA Cell Biol, 2010, 29 (7): 375- 380.
7 Zhang W , Shen Z , Xing Y , et al. MiR-106a-5p modulates apoptosis and metabonomics changes by TGF-β/Smad signaling pathway in cleft palate[J]. Exp Cell Res, 2020, 386 (2): 111734.
8 Panetta NJ , Gupta DM , Slater BJ , et al. Tissue engineering in cleft palate and other congenital malformations[J]. Pediatr Res, 2008, 63 (5): 545- 551.
9 Tang M , Wang Y , Han S , et al. Transforming growth factor-beta 3 gene polymorphisms and nonsyndromic cleft lip and palate risk: A meta-analysis[J]. Genet Test Mol Biomarkers, 2013, 17 (12): 881- 889.
10 Shi X , Wang Q , Sun C , et al. Study on the role of methylation in nonsyndromic cleft lip with or without cleft palate using a monozygotic twin model[J]. Int J Pediatr Otorhinolaryngol, 2021, 143, 110659.
11 王竹青, 王苹, 吴雅慧, 等. 中国人群转化生长因子β信号通路上的基因多态性与非综合征型唇腭裂的关联研究[J]. 北京大学学报(医学版), 2015, 47 (3): 384- 389.
12 Beaty TH , Murray JC , Marazita ML , et al. A genome-wide association study of cleft lip with and without cleft palate identifies risk variants near MAFB and ABCA4[J]. Nat Genet, 2010, 42 (6): 525- 529.
13 Weinberg CR . Methods for detection of parent-of-origin effects in genetic studies of case-parents triads[J]. Am J Hum Genet, 1999, 65 (1): 229- 235.
14 Mossey PA , Little J , Munger RG , et al. Cleft lip and palate[J]. Lancet, 2009, 374 (9703): 1773- 1785.
15 Lewis CW , Jacob LS , Lehmann CU . The primary care pediatrician and the care of children with cleft lip and/or cleft palate[J]. Pediatrics, 2017, 139 (5): e20170628.
16 Azevedo CMS , Machado RA , Martelli-Júnior H , et al. Exploring GRHL3 polymorphisms and SNP-SNP interactions in the risk of non-syndromic oral clefts in the Brazilian population[J]. Oral Dis, 2020, 26 (1): 145- 151.
17 郝嫣汝, 王岩, 孙晓梅. 非综合征性唇腭裂环境因素的研究进展[J]. 中华整形外科杂志, 2019, 35 (7): 702- 705.
18 Lara LDS , Coletta RD , Assis MR , et al. Exploring the role of the WNT5A rs566926 polymorphism and its interactions in non-syndromic orofacial cleft: A multicenter study in Brazil[J]. J Appl Oral Sci, 2024, 32, e20230353.
19 Li M , Wang H . Pathway analysis identified a significant association between cell-cell adherens junctions-related genes and non-syndromic cleft lip/palate in 895 Asian case-parent trios[J]. Arch Oral Biol, 2022, 136, 105384.
20 Yapijakis C , Davaria S , Gintoni I , et al. The impact of genetic variability of TGF-beta signaling biomarkers in major craniofacial syndromes[J]. Adv Exp Med Biol, 2023, 1423, 187- 191.
21 Saroya G , Hu J , Hu M , et al. Periderm fate during palatogenesis: TGF-β and periderm dedifferentiation[J]. J Dent Res, 2023, 102 (4): 459- 466.
22 Derynck R , Budi EH . Specificity, versatility, and control of TGF-β family signaling[J]. Sci Signal, 2019, 12 (570): eaav5183.
23 Chen PY , Qin L , Simons M . TGF-β signaling pathways in human health and disease[J]. Front Mol Biosci, 2023, 10, 1113061.
24 Vander AA , Cao J , Li X . TGF-β receptors: In and beyond TGF-β signaling[J]. Cell Signal, 2018, 52, 112- 120.
25 Hata A , Chen YG . TGF-β signaling from receptors to smads[J]. Cold Spring Harb Perspect Biol, 2016, 8 (9): a022061.
26 Lin E , Kuo PH , Liu YL , et al. Transforming growth factor-β signaling pathway-associated genes SMAD2 and TGFBR2 are implicated in metabolic syndrome in a Taiwanese population[J]. Sci Rep, 2017, 7 (1): 13589.
27 Babai A , Irving M . Orofacial clefts: Genetics of cleft lip and palate[J]. Genes (Basel), 2023, 14 (8): 1603.
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