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神经嵴发育调控及颅面部遗传基础研究进展

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  • 1.北京航空航天大学生物与医学工程学院,北京 100191
    2.北京航空航天大学医学科学与工程学院,北京 100191
    3.工信部大数据精准医疗重点实验室,北京 100191
毛轲,在读博士研究生,研究方向:生物与医学工程。E-mail: maocyy@126.com

收稿日期: 2022-06-28

  修回日期: 2022-08-29

  网络出版日期: 2022-09-26

基金资助

国家自然科学基金项目(31671312);国家自然科学基金项目(82171844);国家自然科学基金项目(81970898)

Progress on the regulation of neural crest and the genetics in craniofacial development

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  • 1. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
    2. School of Engineering Medicine, Beihang University, Beijing 100191, China
    3. Key Laboratory of Big Data-Based Precision Medicine ( Ministry of Industry and Information Technology), Beihang University, Beijing 100191, China

Received date: 2022-06-28

  Revised date: 2022-08-29

  Online published: 2022-09-26

Supported by

the National Natural Science Foundation of China(31671312);the National Natural Science Foundation of China(82171844);the National Natural Science Foundation of China(81970898)

摘要

颅面部赋予脊椎动物无与伦比的进化优势,其由颅神经嵴细胞发育而来的骨、软骨、神经、肌肉等组织组成,使脊椎动物具备了复杂的神经和感官系统。神经嵴细胞是脊椎动物特有的具备迁移性、多能性的细胞类群,它们在增殖、迁移、分化过程中受到多个基因网络的时序调控,从而参与复杂颅面部的形成。同时,颅面部又是一组高度可遗传的表型组合,并具有两个特征:在亲缘后代中的可遗传性及在不同个体间的高度可变性,这两个特征分别提示了颅神经嵴细胞发育调控网络的精准性和可塑性。调控网络内基因适度突变会改变颅神经嵴细胞的增殖和分化从而产生表型可塑性,而有害的遗传突变则将导致畸形产生。本文梳理了对颅面部发育起决定作用的神经嵴细胞的发育过程及基因调控网络,在遗传层面总结了已知的颅面部表型多样性的决定基础和颅面畸形的致病机制,以期为了解颅面部发育过程以及为颅面疾病的防控提供全面认知。

本文引用格式

毛轲, 孟子秋, 张永彪 . 神经嵴发育调控及颅面部遗传基础研究进展[J]. 遗传, 2022 , 44(12) : 1089 -1102 . DOI: 10.16288/j.yczz.22-221

Abstract

The craniofacial features endow vertebrates with unparalleled evolutionary advantages. The craniofacial is composed of bone, cartilage, nerves, and connective tissues mainly developed from cranial neural crest cells (cNCCs). These tissues form complex organs which enable vertebrates to have powerful neural and sensory systems. NCCs are groups of migratory and pluripotent cells that are specific to vertebrates. The specification, premigration and migration, proliferation, and fate determination of the NCCs are precisely and sequentially controlled by gene regulatory networks, to ensure the ordered and accurate development of the craniofacial region. The craniofacial region represents a combined set of highly heritable phenotypes, which could be illustrated by the inherited facial features between relatives but perceptible differences among non-relatives. Such phenomena are termed heredity and variation, which are in accordance with the precision and plasticity of cNCCs gene regulatory network, respectively. Evidence has shown that genetic variations within the regulatory network alter the proliferation and differentiation of NCCs within a tolerable range, while deleterious mutations will lead to craniofacial malformations. In this review, we first summarize the development procedure of NCCs and their gene regulatory networks and then provide an overview on the genetic basis of the facial morphology and malformations. This review will benefit the understanding of craniofacial development and the prevention of craniofacial diseases.

参考文献

[1] Kuratani S. Craniofacial development and the evolution of the vertebrates: the old problems on a new background. Zoolog Sci, 2005, 22(1): 1-19.
[2] Rocha M, Beiriger A, Kushkowski EE, Miyashita T, Singh N, Venkataraman V, Prince VE. From head to tail: regionalization of the neural crest. Development, 2020, 147(20): dev193888.
[3] Martik ML, Bronner ME. Riding the crest to get a head: neural crest evolution in vertebrates. Nat Rev Neurosci, 2021, 22: 616-626.
[4] Hovland AS, Rothstein M, Simoes-Costa M. Network architecture and regulatory logic in neural crest development. Wiley Interdiscip Rev Syst Biol Med, 2020, 12(2): e1468.
[5] White JD, Indencleef K, Naqvi S, Eller RJ, Hoskens H, Roosenboom J, Lee MK, Li J, Mohammed J, Richmond S, Quillen EE, Norton HL, Feingold E, Swigut T, Marazita ML, Peeters H, Hens G, Shaffer JR, Wysocka J, Walsh S, Weinberg SM, Shriver MD, Claes P. Insights into the genetic architecture of the human face. Nat Genet, 2021, 53(1): 45-53.
[6] Schmetz A, Amiel J, Wieczorek D. Genetics of craniofacial malformations. Semin Fetal Neonatal Med, 2021, 26(6): 101290.
[7] Siismets EM, Hatch NE. Cranial neural crest cells and their role in the pathogenesis of craniofacial anomalies and coronal craniosynostosis. J Dev Biol, 2020, 8(3): 18.
[8] H?rstadius S. The Neural Crest:Its Properties and Derivatives in the Light of Experimental Research. New York: Oxford University Press, 1950.
[9] Bae C-J, Saint-Jeannet J-P. Induction and specification of neural crest cells. Neural Crest Cells, 2014: 27-49.
[10] Vega-Lopez GA, Cerrizuela S, Tribulo C, Aybar MJ. Neurocristopathies: new insights 150 years after the neural crest discovery. Dev Biol, 2018: 444.
[11] Rothstein M, Bhattacharya D, Simoes-Costa M. The molecular basis of neural crest axial identity. Dev Bio, 2018, 444(Suppl 1): S170-S180.
[12] Dash S, Trainor PA. The development, patterning and evolution of neural crest cell differentiation into cartilage and bone. Bone, 2020, 137: 115409.
[13] Le Douarin NM, Dupin E. The “beginnings” of the neural crest. Dev Biol, 2018, 444(Suppl 1): S3-S13.
[14] Szabó A, Mayor R. Mechanisms of neural crest migration. Annu Rev Genet, 2018, 52: 43-63.
[15] Betancur P, Bronner-Fraser M, Sauka-Spengler T. Assembling neural crest regulatory circuits into a gene regulatory network. Annu Rev Cell Dev Biol, 2010, 26: 581-603.
[16] Plouhinec JL, Roche DD, Pegoraro C, Figueiredo AL, Maczkowiak F, Brunet LJ, Milet C, Vert JP, Pollet N, Harland RM, Monsoro-Burq AH. Pax3 and Zic1 trigger the early neural crest gene regulatory network by the direct activation of multiple key neural crest specifiers. Dev Biol, 2014, 386(2): 461-472.
[17] Groves AK, LaBonne C. Setting appropriate boundaries: fate, patterning and competence at the neural plate border. Dev Biol, 2014, 389(1): 2-12.
[18] Martik ML, Bronner ME. Regulatory logic underlying diversification of the neural crest. Trends Genet, 2017, 33(10): 715-727.
[19] Maczkowiak F, Monsoro-Burq AH. Reiterative AP2a activity controls sequential steps in the neural crest gene regulatory network. Proc Natl Acad Sci USA, 2011, 108(1): 155-160.
[20] Ferronha T, Rabadán MA, Gil-Gui?on E, Le Dréau G, de Torres C, Martí E. LMO4 is an essential cofactor in the Snail2-mediated epithelial-to-mesenchymal transition of neuroblastoma and neural crest cells. J Neurosci, 2013, 33(7): 2773-2783.
[21] Hutchins EJ, Bronner ME. Draxin acts as a molecular rheostat of canonical Wnt signaling to control cranial neural crest EMT. J Cell Biol, 2018, 217(10): 3683-3697.
[22] Kelsh RN. Sorting out Sox 10 functions in neural crest development. Bioessays, 2006, 28(8): 788-798.
[23] Watanabe Y, Broders-Bondon F, Baral V, Paul-Gilloteaux P, Pingault V, Dufour S, Bondurand N. Sox10 and Itgb1 interaction in enteric neural crest cell migration. Dev Biol, 2013, 379(1): 92-106.
[24] Carmona-Fontaine C, Matthews HK, Kuriyama S, Moreno M, Dunn GA, Parsons M, Stern CD, Mayor R. Contact inhibition of locomotion in vivo controls neural crest directional migration. Nature, 2008, 456(7224): 957-961.
[25] Betancur P, Bronner-Fraser M, Sauka-Spengler T. Genomic code for Sox10 activation reveals a key regulatory enhancer for cranial neural crest. Proc Natl Acad Sci USA, 2010, 107(8): 3570-3575.
[26] Wilson J, Tucker AS. Fgf and Bmp signals repress the expression of Bapx1 in the mandibular mesenchyme and control the position of the developing jaw joint. Dev Biol, 2004, 266(1): 138-150.
[27] Creuzet S, Schuler B, Couly G, Le Douarin NM. Reciprocal relationships between Fgf8 and neural crest cells in facial and forebrain development. Proc Natl Acad Sci USA, 2004, 101(14): 4843-4847.
[28] Mossahebi-Mohammadi M, Quan MY, Zhang JS, Li XK. FGF signaling pathway: a key regulator of stem cell pluripotency. Front Cell Dev Biol, 2020, 8: 79.
[29] Liu CF, Lefebvre V. The transcription factors SOX9 and SOX5/SOX6 cooperate genome-wide through super- enhancers to drive chondrogenesis. Nucleic Acids Res, 2015, 43(17):8183-8203.
[30] Oh CD, Lu Y, Liang SD, Mori-Akiyama Y, Chen D, de Crombrugghe B, Yasuda H. SOX9 regulates multiple genes in chondrocytes, including genes encoding ECM proteins, ECM modification enzymes, receptors, and transporters. PLoS One, 2014, 9(9): e107577.
[31] Wang WG, Song B, Anbarchian T, Shirazyan A, Sadik JE, Lyons KM. Smad2 and Smad3 regulate chondrocyte proliferation and differentiation in the growth plate. PLoS Genet, 2016, 12(10): e1006352.
[32] Morrison MA, Zimmerman MW, Look AT, Stewart RA. Studying the peripheral sympathetic nervous system and neuroblastoma in zebrafish. Methods Cell Biol, 2016, 134: 97-138.
[33] Potterf SB, Mollaaghababa R, Hou L, Southard-Smith EM, Hornyak TJ, Arnheiter H, Pavan WJ. Analysis of SOX10 function in neural crest-derived melanocyte development: SOX10-dependent transcriptional control of dopachrome tautomerase. Dev Biol, 2001, 237(2): 245-257.
[34] Seberg HE, Van Otterloo E, Loftus SK, Liu H, Bonde G, Sompallae R, Gildea DE, Santana JF, Manak JR, Pavan WJ, Williams T, Cornell RA. TFAP2 paralogs regulate melanocyte differentiation in parallel with MITF. PLoS Genet, 2017, 13(3): e1006636.
[35] Trainor PA, Krumlauf R. Hox genes, neural crest cells and branchial arch patterning. Curr Opin Cell Biol, 2001, 13(6): 698-705.
[36] Panganiban G, Rubenstein JL. Developmental functions of the Distal-less/Dlx homeobox genes. Development, 2002, 129(19): 4371-4386.
[37] Minoux M, Rijli FM. Molecular mechanisms of cranial neural crest cell migration and patterning in craniofacial development. Development, 2010, 137(16): 2605-2621.
[38] Hunt P, Gulisano M, Cook M, Sham MH, Faiella A, Wilkinson D, Boncinelli E, Krumlauf R. A distinct Hox code for the branchial region of the vertebrate head. Nature, 1991, 353(6347): 861-864.
[39] Santagati F, Minoux M, Ren SY, Rijli FM. Temporal requirement of Hoxa2 in cranial neural crest skeletal morphogenesis. Development, 2005, 132(22): 4927-4936.
[40] Depew MJ, Simpson CA, Morasso M, Rubenstein JLR. Reassessing the Dlx code: the genetic regulation of branchial arch skeletal pattern and development. J Anat, 2005, 207(5): 501-561.
[41] Robledo RF, Rajan L, Li X, Lufkin T. The Dlx5 and Dlx6 homeobox genes are essential for craniofacial, axial, and appendicular skeletal development. Genes Dev, 2002, 16(9): 1089-1101.
[42] Qiu M, Bulfone A, Ghattas I, Meneses JJ, Christensen L, Sharpe PT, Presley R, Pedersen RA, Rubenstein JL. Role of the Dlx homeobox genes in proximodistal patterning of the branchial arches: mutations of Dlx-1, Dlx-2, and Dlx-1 and -2 alter morphogenesis of proximal skeletal and soft tissue structures derived from the first and second arches. Dev Biol, 1997, 185(2): 165-184.
[43] Dai JW, Kuang Y, Fang B, Gong H, Lu SY, Mou ZF, Sun H, Dong YF, Lu JT, Zhang WB, Zhang JF, Wang ZG, Wang XD, Shen GF. The effect of overexpression of Dlx2 on the migration, proliferation and osteogenic differentiation of cranial neural crest stem cells. Biomaterials, 2013, 34(8): 1898-1910.
[44] Shimizu M, Narboux-Nême N, Gitton Y, de Lombares C, Fontaine A, Alfama G, Kitazawa T, Kawamura Y, Heude E, Marshall L, Higashiyama H, Wada Y, Kurihara Y, Kurihara H, Levi G. Probing the origin of matching functional jaws: roles of Dlx5/6 in cranial neural crest cells. Sci Rep, 2018, 8(1): 14975.
[45] Keuls RA, Parchem RJ. Single-Cell Multiomic approaches reveal diverse labeling of the nervous system by common Cre-drivers. Front Cell Neurosci, 2021, 15: 648570.
[46] Cao JY, O'Day DR, Pliner HA, Kingsley PD, Deng M, Daza RM, Zager MA, Aldinger KA, Blecher-Gonen R, Zhang F, Spielmann M, Palis J, Doherty D, Steemers FJ, Glass IA, Trapnell C, Shendure J. A human cell atlas of fetal gene expression. Science, 2020, 370(6518): eaba7721.
[47] Zhang K, Hocker JD, Miller M, Hou XM, Chiou J, Poirion OB, Qiu YJ, Li YE, Gaulton KJ, Wang A, Preissl S, Ren B. A single-cell atlas of chromatin accessibility in the human genome. Cell, 2021, 184(24): 5985-6001.e5919.
[48] Fabian P, Tseng K-C, Thiruppathy M, Arata C, Chen H-J, Smeeton J, Nelson N, Crump JG. Lifelong single-cell profiling of cranial neural crest diversification in zebrafish. Nat Commun, 2022, 13(1): 13.
[49] Tatarakis D, Cang ZX, Wu XJ, Sharma PP, Karikomi M, MacLean AL, Nie Q, Schilling TF. Single-cell transcriptomic analysis of zebrafish cranial neural crest reveals spatiotemporal regulation of lineage decisions during development. Cell Rep, 2021, 37(12): 110140.
[50] Briggs JA, Weinreb C, Wagner DE, Megason S, Peshkin L, Kirschner MW, Klein AM. The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution. Science, 2018, 360(6392): eaar5780.
[51] Lignell A, Kerosuo L, Streichan SJ, Cai L, Bronner ME. Identification of a neural crest stem cell niche by spatial genomic analysis. Nat Commun, 2017, 8(1): 1830.
[52] Williams RM, Candido-Ferreira I, Repapi E, Gavriouchkina D, Senanayake U, Ling ITC, Telenius J, Taylor S, Hughes J, Sauka-Spengler T. Reconstruction of the global neural crest gene regulatory network in vivo. Dev Cell, 2019, 51(2): 255-276.e257.
[53] Soldatov R, Kaucka M, Kastriti ME, Petersen J, Chontorotzea T, Englmaier L, Akkuratova N, Yang Y, H?ring M, Dyachuk V, Bock C, Farlik M, Piacentino ML, Boismoreau F, Hilscher MM, Yokota C, Qian XY, Nilsson M, Bronner ME, Croci L, Hsiao WY, Guertin DA, Brunet JF, Consalez GG, Ernfors P, Fried K, Kharchenko PV, Adameyko I. Spatiotemporal structure of cell fate decisions in murine neural crest. Science, 2019, 364(6444): eaas9536.
[54] Timpson NJ, Greenwood CMT, Soranzo N, Lawson DJ, Richards JB. Genetic architecture: the shape of the genetic contribution to human traits and disease. Nat Rev Genet, 2018, 19(2): 110-124.
[55] Gratten J, Wray NR, Keller MC, Visscher PM. Large- scale genomics unveils the genetic architecture of psychiatric disorders. Nat Neurosci, 2014, 17(6): 782-790.
[56] Chang M, He L, Cai L. An overview of genome-wide association studies. Methods Mol Biol, 2018, 1754: 97-108.
[57] Claes P, Roosenboom J, White JD, Swigut T, Sero D, Li J, Lee MK, Zaidi A, Mattern BC, Liebowitz C, Pearson L, González T, Leslie EJ, Carlson JC, Orlova E, Suetens P, Vandermeulen D, Feingold E, Marazita ML, Shaffer JR, Wysocka J, Shriver MD, Weinberg SM. Genome-wide mapping of global-to-local genetic effects on human facial shape. Nat Genet, 2018, 50(3): 414-423.
[58] White JD, Ortega-Castrillon A, Matthews H, Zaidi AA, Ekrami O, Snyders J, Fan Y, Penington T, Van Dongen S, Shriver MD, Claes P. MeshMonk: open-source large- scale intensive 3D phenotyping. Sci Rep, 2019, 9(1): 6085.
[59] Liu F, van der Lijn F, Schurmann C, Zhu G, Chakravarty MM, Hysi PG, Wollstein A, Lao O, de Bruijne M, Ikram MA, van der Lugt A, Rivadeneira F, Uitterlinden AG, Hofman A, Niessen WJ, Homuth G, de Zubicaray G, McMahon KL, Thompson PM, Daboul A, Puls R, Hegenscheid K, Bevan L, Pausova Z, Medland SE, Montgomery GW, Wright MJ, Wicking C, Boehringer S, Spector TD, Paus T, Martin NG, Biffar R, Kayser M. A genome-wide association study identifies five loci influencing facial morphology in Europeans. PLoS Genet, 2012, 8(9): e1002932.
[60] Paternoster L, Zhurov AI, Toma AM, Kemp JP, St Pourcain B, Timpson NJ, McMahon G, McArdle W, Ring SM, Smith GD, Richmond S, Evans DM. Genome- wide association study of three-dimensional facial morphology identifies a variant in PAX3 associated with nasion position. Am J Hum Genet, 2012, 90(3): 478-485.
[61] Shaffer JR, Orlova E, Lee MK, Leslie EJ, Raffensperger ZD, Heike CL, Cunningham ML, Hecht JT, Kau CH, Nidey NL, Moreno LM, Wehby GL, Murray JC, Laurie CA, Laurie CC, Cole J, Ferrara T, Santorico S, Klein O, Mio W, Feingold E, Hallgrimsson B, Spritz RA, Marazita ML, Weinberg SM. Genome-wide association study reveals multiple loci influencing normal human facial morphology. PLoS Genet, 2016, 12(8): e1006149.
[62] Adhikari K, Fuentes-Guajardo M, Quinto-Sánchez M, Mendoza-Revilla J, Camilo Chacón-Duque J, Acu?a- Alonzo V, Jaramillo C, Arias W, Lozano RB, Pérez GM, Gómez-Valdés J, Villamil-Ramírez H, Hunemeier T, Ramallo V, Silva de Cerqueira CC, Hurtado M, Villegas V, Granja V, Gallo C, Poletti G, Schuler-Faccini L, Salzano FM, Bortolini MC, Canizales-Quinteros S, Cheeseman M, Rosique J, Bedoya G, Rothhammer F, Headon D, González-José R, Balding D, Ruiz-Linares A. A genome- wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation. Nat Commun, 2016; 7: 11616.
[63] Qiao L, Yang YJ, Fu PC, Hu SL, Zhou H, Peng SN, Tan JZ, Lu Y, Lou HY, Lu DS, Wu SJ, Guo J, Jin L, Guan YQ, Wang SJ, Xu SH, Tang K. Genome-wide variants of Eurasian facial shape differentiation and a prospective model of DNA based face prediction. J Genet Genomics, 2018, 45(8): 419-432.
[64] Cha S, Lim JE, Park AY, Do JH, Lee SW, Shin C, Cho NH, Kang JO, Nam JM, Kim JS, Woo KM, Lee SH, Kim JY, Oh B. Identification of five novel genetic loci related to facial morphology by genome-wide association studies. BMC Genomics, 2018, 19(1): 481.
[65] Xiong ZY, Dankova G, Howe LJ, Lee MK, Hysi PG, de Jong MA, Zhu G, Adhikari K, Li D, Li Y, Pan B, Feingold E, Marazita ML, Shaffer JR, McAloney K, Xu SH, Jin L, Wang SJ, de Vrij FM, Lendemeijer B, Richmond S, Zhurov A, Lewis S, Sharp GC, Paternoster L, Thompson H, Gonzalez-Jose R, Bortolini MC, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Uitterlinden AG, Ikram MA, Wolvius E, Kushner SA, Nijsten TE, Palstra RT, Boehringer S, Medland SE, Tang K, Ruiz-Linares A, Martin NG, Spector TD, Stergiakouli E, Weinberg SM, Liu F, Kayser M, International Visible Trait Genetics C. Novel genetic loci affecting facial shape variation in humans. eLife, 2019, 8: e49898.
[66] Li Y, Zhao WT, Li D, Tao XM, Xiong ZY, Liu J, Zhang W, Ji AQ, Tang K, Liu F, Li C. EDAR, LYPLAL1, PRDM16, PAX3, DKK1, TNFSF12, CACNA2D3, and SUPT3H gene variants influence facial morphology in a Eurasian population. Hum Genet, 2019, 138(6): 681-689.
[67] Wu W, Zhai GY, Xu ZJ, Hou B, Liu DH, Liu TY, Liu W, Ren F. Whole-exome sequencing identified four loci influencing craniofacial morphology in northern Han Chinese. Hum Genet, 2019, 138(6): 601-611.
[68] Bonfante B, Faux P, Navarro N, Mendoza-Revilla J, Dubied M, Montillot C, Wentworth E, Poloni L, Varón-González C, Jones P, Xiong ZY, Fuentes-Guajardo M, Palmal S, Chacón-Duque JC, Hurtado M, Villegas V, Granja V, Jaramillo C, Arias W, Barquera R, Everardo- Martínez P, Sánchez-Quinto M, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Hünemeier T, Ramallo V, Liu F, Weinberg SM, Shaffer JR, Stergiakouli E, Howe LJ, Hysi PG, Spector TD, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acu?a-Alonzo V, Canizales-Quinteros S, Gallo C, Poletti G, Bedoya G, Rothhammer F, Thauvin-Robinet C, Faivre L, Costedoat C, Balding D, Cox T, Kayser M, Duplomb L, Yalcin B, Cotney J, Adhikari K, Ruiz-Linares A. A GWAS in Latin Americans identifies novel face shape loci, implicating VPS13B and a Denisovan introgressed region in facial variation. Sci Adv, 2021, 7(6): eabc6160.
[69] Lee MK, Shaffer JR, Leslie EJ, Orlova E, Carlson JC, Feingold E, Marazita ML, Weinberg SM.Genome-wide association study of facial morphology reveals novel associations with FREM1 and PARK2. PLoS One, 2017, 12(4): e0176566.
[70] Pickrell JK, Berisa T, Liu JZ, Segurel L, Tung JY, Hinds DA. Detection and interpretation of shared genetic influences on 42 human traits. Nat Genet, 2016, 48(7): 709-717.
[71] Cole JB, Manyama M, Kimwaga E, Mathayo J, Larson JR, Liberton DK, Lukowiak K, Ferrara TM, Riccardi SL, Li M, Mio W, Prochazkova M, Williams T, Li H, Jones KL, Klein OD, Santorico SA, Hallgrimsson B, Spritz RA. Genomewide association study of African children identifies association of SCHIP1 and PDE8A with facial size and shape. PLoS Genet, 2016, 12(8): e1006174.
[72] Crouch DJM, Winney B, Koppen WP, Christmas WJ, Hutnik K, Day T, Meena D, Boumertit A, Hysi P, Nessa A, Spector TD, Kittler J, Bodmer WF. Genetics of the human face: Identification of large-effect single gene variants. Proc Natl Acad Sci USA, 2018, 115(4): E676-E685.
[73] Huang Y, Li D, Qiao L, Liu Y, Peng QQ, Wu SJ, Zhang MF, Yang YJ, Tan JZ, Xu SH, Jin L, Wang SJ, Tang K, Grünewald S. A genome-wide association study of facial morphology identifies novel genetic loci in Han Chinese. J Genet Genomics, 2021, 48(3): 198-207.
[74] Zhang MF, Wu SJ, Du SY, Qian W, Chen JY, Qiao L, Yang YJ, Tan JZ, Yuan ZY, Peng QQ, Liu Y, Navarro N, Tang K, Ruiz-Linares A, Wang JC, Claes P, Jin L, Li JR, Wang SJ. Genetic variants underlying differences in facial morphology in East Asian and European populations. Nat Genet, 2022, 54(4): 403-411.
[75] Park JH, Yamaguchi T, Watanabe C, Kawaguchi A, Haneji K, Takeda M, Kim YI, Tomoyasu Y, Watanabe M, Oota H, Hanihara T, Ishida H, Maki K, Park SB, Kimura R. Effects of an Asian-specific nonsynonymous EDAR variant on multiple dental traits. J Hum Genet, 2012, 57(8): 508-514.
[76] Adhikari K, Reales G, Smith AJP, Konka E, Palmen J, Quinto-Sanchez M, Acu?a-Alonzo V, Jaramillo C, Arias W, Fuentes M, Pizarro M, Barquera Lozano R, Macín Pérez G, Gómez-Valdés J, Villamil-Ramírez H, Hunemeier T, Ramallo V, Silva de Cerqueira CC, Hurtado M, Villegas V, Granja V, Gallo C, Poletti G, Schuler-Faccini L, Salzano FM, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, Calderón R, Rosique J, Cheeseman M, Bhutta MF, Humphries SE, Gonzalez- José R, Headon D, Balding D, Ruiz-Linares A. A genome-wide association study identifies multiple loci for variation in human ear morphology. Nat Commun, 2015, 6: 7500.
[77] Morgan MD, Pairo-Castineira E, Rawlik K, Canela- Xandri O, Rees J, Sims D, Tenesa A, Jackson IJ. Genome-wide study of hair colour in UK Biobank explains most of the SNP heritability. Nature Communications, 2018, 9(1): 5271.
[78] Jordan B. [Genes for faces]. Med Sci (Paris), 2021, 37(3): 300-303.
[79] Twigg SRF, Wilkie AOM. New insights into craniofacial malformations. Hum Mol Genet, 2015, 24(R1): R50-R59.
[80] Bartzela TN, Carels C, Maltha JC. Update on 13 syndromes affecting craniofacial and dental structures. Front Physiol, 2017, 8: 1038.
[81] Ye XQ, Ahmed MK. Genetic factors responsible for cleft lip and palate. In: Fayyaz GQ, ed. Surgical Atlas of Cleft Palate and Palatal Fistulae. Singapore: Springer Singapore, 2020: 1-14.
[82] Askarian S, Gholami M, Khalili-Tanha G, Tehrani NC, Joudi M, Khazaei M, Ferns GA, Hassanian SM, Avan A, Joodi M. The genetic factors contributing to the risk of cleft lip-cleft palate and their clinical utility. Oral Maxillofac Surg, 2022: doi: 10.1007/s10006-10022-01052-10003.
[83] Atukorala ADS, Ratnayake RK. Cellular and molecular mechanisms in the development of a cleft lip and/or cleft palate; insights from zebrafish (Danio rerio). Anat Rec (Hoboken), 2021, 304(8): 1650-1660.
[84] Li J, Rodriguez G, Han X, Jane?ková E, Kahng S, Song B, Chai Y. Regulatory mechanisms of doft palate development and malformations. J Dent Res, 2019, 98(9): 959-967.
[85] Brandstetter KA, Patel KG. Craniofacial microsomia. Facial Plast Surg Clin North Am, 2016, 24(4): 495-515.
[86] Werler MM, Sheehan JE, Hayes C, Mitchell AA, Mulliken JB. Vasoactive exposures, vascular events, and hemifacial microsomia. Birth Defects Res A Clin Mol Teratol, 2004, 70(6): 389-395.
[87] Poswillo D. Hemorrhage in development of the face. Birth Defects Orig Artic Ser, 1975, 11(7): 61-81.
[88] Wang R, Martínez-Frías ML, Graham JM, Jr. Infants of diabetic mothers are at increased risk for the oculo- auriculo-vertebral sequence: a case-based and case- control approach. J Pediatr, 2002, 141(5): 611-617.
[89] Zhang YB, Hu JT, Zhang J, Zhou X, Li X, Gu CH, Liu T, Xie YC, Liu JQ, Gu ML, Wang PP, Wu TT, Qian J, Wang Y, Dong XQ, Yu J, Zhang QG. Genome-wide association study identifies multiple susceptibility loci for craniofacial microsomia. Nat Commun, 2016, 7: 10605.
[90] Callier P, Faivre L, Thauvin-Robinet C, Marle N, Mosca AL, D'Athis P, Guy J, Masurel-Paulet A, Joly L, Guiraud S, Teyssier JR, Huet F, Mugneret F. Array-CGH in a series of 30 patients with mental retardation, dysmorphic features, and congenital malformations detected an interstitial 1p22.2-p31.1 deletion in a patient with features overlapping the Goldenhar syndrome. Am J Med Genet A, 2008, 146a(16): 2109-2115.
[91] Ala-Mello S, Siggberg L, Knuutila S, von Koskull H, Taskinen M, Peippo M. Further evidence for a relationship between the 5p15 chromosome region and the oculoauriculovertebral anomaly. Am J Med Genet A, 2008, 146A(19): 2490-2494.
[92] Zielinski D, Markus B, Sheikh M, Gymrek M, Chu C, Zaks M, Srinivasan B, Hoffman JD, Aizenbud D, Erlich Y. OTX2 duplication is implicated in hemifacial microsomia. PLoS One, 2014, 9(5): e96788.
[93] Ballesta-Martínez MJ, López-González V, Dulcet LA, Rodríguez-Santiago B, Garcia-Mi?aúr S, Guillen- Navarro E. Autosomal dominant oculoauriculovertebral spectrum and 14q23.1 microduplication. Am J Med Genet A, 2013, 161A(8): 2030-2035.
[94] Matsuo I, Kuratani S, Kimura C, Takeda N, Aizawa S. Mouse Otx 2 functions in the formation and patterning of rostral head. Genes Dev, 1995, 9(21): 2646-2658.
[95] Bragagnolo S, Colovati MES, Souza MZ, Dantas AG, Melaragno MI, Perez AB. Clinical and cytogenomic findings in OAV spectrum. Am J Med Genet A, 2018, 176(3): 638-648.
[96] Chen XJ, Xu F, Liu FT, Aung ZM, Chen W, Han WQ, Yang XX, Zhang Y, Chai G, Zhang RH. Whole-exome sequencing for monozygotic twins discordant for hemifacial microsomia. J Craniomaxillofac Surg, 2018, 46(5): 802-807.
[97] Lopez E, Berenguer M, Tingaud-Sequeira A, Marlin S, Toutain A, Denoyelle F, Picard A, Charron S, Mathieu G, de Belvalet H, Arveiler B, Babin PJ, Lacombe D, Rooryck C. Mutations in MYT1, encoding the myelin transcription factor 1, are a rare cause of OAVS. J Med Genet, 2016, 53(11): 752-760.
[98] Wang YB, Ping L, Luan XD, Chen YS, Fan XM, Li LY, Liu YP, Wang P, Zhang SY, Zhang B, Chen XW. A mutation in VWA1, encoding von willebrand factor a domain-containing protein 1, is associated with hemifacial microsomia. Front Cell Dev Biol, 2020, 8: 571004.
[99] Timberlake AT, Griffin C, Heike CL, Hing AV, Cunningham ML, Chitayat D, Davis MR, Doust SJ, Drake AF, Duenas-Roque MM, Goldblatt J, Gustafson JA, Hurtado-Villa P, Johns A, Karp N, Laing NG, Magee L, University of Washington Center for Mendelian Genomics, Mullegama SV, Pachajoa H, Porras-Hurtado GL, Schnur RE, Slee J, Singer SL, Staffenberg DA, Timms AE, Wise CA, Zarante I, Saint-Jeannet J-P, Luquetti DV. Haploinsufficiency of SF3B2 causes craniofacial microsomia. Nature Communications, 2021, 12(1): 4680.
[100] Magaletta ME, Lobo M, Kernfeld EM, Aliee H, Huey JD, Parsons TJ, Theis FJ, Maehr R. Integration of single-cell transcriptomes and chromatin landscapes reveals regulatory programs driving pharyngeal organ development. Nat Commun, 2022, 13(1): 457.
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