中国汉族人群脸部特征相关SNP位点研究

doi:10.16288/j.yczz.19-355

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Hereditas(Beijing) ›› 2020, Vol. 42 ›› Issue (7): 680-690.doi: 10.16288/j.yczz.19-355

• Research Article • Previous Articles Next Articles

Human facial shape related SNP analysis in Han Chinese populations

Ming Liu^1,², Yi Li³, Yafang Yang^2,⁴, Yuwen Yan², Fan Liu³, Caixia Li², Faming Zeng^1,⁵(), Wenting Zhao²()

^1. School of Forensic Medicine, Kuming Medical University, Kunming 650500, China
^2. National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China
^3. CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Science, Beijing 100101, China
^4. School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China
^5. Criminal Investigation Police Corps, Yunnan Provincial Public Security Department, Kunming 650021, China

Received:2020-03-09 Revised:2020-05-20 Online:2020-07-20 Published:2020-05-21
Contact: Zeng Faming,Zhao Wenting E-mail:zfm1964@126.com;wtzhao@sibs.ac.cn
Supported by:
Supported by the National Key R&D Program of China No(2017YFC0803501);Central Public-Interest Scientific Institution Basal Research Fund No(2018JB046);Central Public-Interest Scientific Institution Basal Research Fund (No. 2018JB046), and the National Science and Technological Resources Platform Nos(YCZYPT[2017]01-3);Central Public-Interest Scientific Institution Basal Research Fund (No. 2018JB046), and the National Science and Technological Resources Platform Nos(2017JB025)

Abstract

Abstract:

Human facial morphology is one of the important visible biological characteristics. Understanding the genetic basis underlying facial shape traits has important implications in population genetics, developmental biology, and forensic science. This study extracted 136 Euclidean distance phenotypes from 17 facial features of high-resolution 3D facial images in 1177 Chinese Han adult males. Based on 3× low-depth sequencing data, linear regression was used to analyze the correlation between 125 reported SNPs significantly associated with facial morphology and 136 facial phenotypes. As a result, a total of twelve SNPs from ten genes demonstrated significant association with one or more facial shape traits after adjusting for multiple testing (significance threshold P < 1.35 × 10 ^-3 )_, together explaining up to 3.89% of age-, and BMI-adjusted facial phenotype variance. These included TEX41 rs17479393, PAX3 rs974448, RAB7A/ACAD9 rs2977562, DCHS2 rs9995821, DCHS2 rs2045323, C5orf50 rs6555969, SUPT3H/RUNX2 rs1852985, MSRA rs11782517, EYA1 rs10504499, GSC rs2224309, DICER1 rs7161418 and DHX35 rs2206437.These results revealed the genetics basis of facial morphology of Han Chinese population, and provided reference data for DNA-based face prediction.

Key words: facial morphology, linear regression, Chinese Han population, facial feature associated SNPs

Ming Liu, Yi Li, Yafang Yang, Yuwen Yan, Fan Liu, Caixia Li, Faming Zeng, Wenting Zhao. Human facial shape related SNP analysis in Han Chinese populations[J]. Hereditas(Beijing), 2020, 42(7): 680-690.

Figures/Tables 6

Fig. 1

Table 1

Fig. 2

Table 2

Supplementary Fig. 1

Supplementary Fig. 2

References 41

[1]	Martínez-Abadías N, Esparza M, Sjøvold T, González- José R, Santos M, Hernández M . Heritability of human cranial dimensions: comparing the evolvability of different cranial regions. J Anat, 2009,214(1):19-35.
[2]	Weinberg SM, Parsons TE, Marazita ML, Maher BS . Heritability of face shape in twins: a preliminary study using 3D stereophotogrammetry and geometric morphometrics. Dent 3000, 2013,1(1):14.
[3]	Ng MCY, Graff M, Lu Y, Lu Y, Justice AE, Mudgal P, Liu CT, Young K, Yanek LR, Feitosa MF, Wojczynski MK, Rand K, Brody JA, Cade BE, Dimitrov L, Duan Q, Guo X, Lange LA, Nalls MA, Okut H, Tajuddin SM, Tayo BO, Vedantam S, Bradfield JP, Chen G, Chen WM, Chesi A, Irvin MR, Padhukasahasram B, Smith JA, Zheng W, Allison MA, Ambrosone CB, Bandera EV, Bartz TM, Berndt SI, Bernstein L, Blot WJ, Bottinger EP, Carpten J, Chanock SJ, Chen YI, Conti DV, Cooper RS, Fornage M, Freedman BI, Garcia M, Goodman PJ, Hsu YH, Hu J, Huff CD, Ingles SA, John EM, Kittles R, Klein E, Li J, McKnight B,Nayak U,Nemesure B,Ogunniyi A,Olshan A,Press MF,Rohde R,Rybicki BA,Salako B,Sanderson M,Shao Y,Siscovick DS,Stanford JL,Stevens VL,Stram A,Strom SS,Vaidya D,Witte JS,Yao J,Zhu X,Ziegler RG,Zonderman AB,Adeyemo A,Ambs S,Cushman M,Faul JD,Hakonarson H,Levin AM,Nathanson KL,Ware EB,Weir DR,Zhao W,Zhi D;Bone Mineral Density in Childhood Study (BMDCS) Group,Arnett DK,Grant SFA,Kardia SLR,Oloapde OI,Rao DC,Rotimi CN,Sale MM,Williams LK,Zemel BS,Becker DM,Borecki IB,Evans MK,Harris TB,Hirschhorn JN,Li Y,Patel SR,Psaty BM,Rotter JI,Wilson JG,Bowden DW,Cupples LA,Haiman CA,Loos RJF,North KE. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genet, 2017,13(4):e1006719.
[4]	Loos RJF, Janssens ACJW . Predicting polygenic obesity using genetic information. Cell Metab, 2017,25(3):535-543.
[5]	Guo J, Tan JZ, Yang YJ, Zhou H, Hu SL, Hashan A, Bahaxar N, Xu SH, Weaver TD, Jin L, Stoneking M, Tang K . Variation and signatures of selection on the human face. J Hum Evol, 2014,75:143-152.
[6]	Li CX, Jia J, Wei YL, Wan LH, Hu L, Ye J . The selection of 30 ancestry informative markers and its application in ancestry inference. Hereditas(Beijing), 2014,36(8):779-785.
	李彩霞, 贾竟, 魏以梁, 万立华, 胡兰, 叶健 . 30个祖先信息位点的筛选及应用. 遗传, 2014,36(8):779-785.
[7]	Jiang L, Sun QF, Ma Q, Zhao WT, Liu J, Zhao L, Ji AQ, Li CX . Optimization and validation of analysis method based on 27-plex SNP panel for ancestry inference. Hereditas (Beijing), 2017,39(2):166-173.
	江丽, 孙启凡, 马泉, 赵雯婷, 刘京, 赵蕾, 季安全, 李彩霞 . 27-plex SNP种族推断方法的优化及验证. 遗传, 2017,39(2):166-173.
[8]	Liu Y, Sun CC, Ma M, Wang Ling, Zhao WT, Ma Q, Ji AQ, Liu J, Li CX . The ancestry inference of Chinese populations using 74-plex SNPs system. Hereditas (Beijing), 2020,42(3):296-308.
	刘杨, 孙昌春, 马咪, 王玲, 赵雯婷, 马泉, 季安全, 刘京, 李彩霞 . 74-plex SNPs复合检测体系在中国人群中的族群推断研究. 遗传, 2020,42(3):296-308.
[9]	Sulem P, Gudbjartsson DF, Stacey SN, Helgason A, Rafnar T, Magnusson KP, Manolescu A, Karason A, Palsson A, Thorleifsson G, Jakobsdottir M, Steinberg S, Pálsson S, Jonasson F, Sigurgeirsson B, Thorisdottir K, Ragnarsson R, Benediktsdottir KR, Aben KK, Kiemeney LA, Olafsson JH, Gulcher J, Kong A, Thorsteinsdottir U, Stefansson K . Genetic determinants of hair, eye and skin pigmentation in Europeans. Nat Genet, 2007,39(12):1443-1452.
[10]	Kenny EE, Timpson NJ, Sikora M, Yee MC, Moreno- Estrada A, Eng C, Huntsman S, Burchard EG, Stoneking M, Bustamante CD, Myles S . Melanesian blond hair is caused by an amino acid change in TYRP1. Science, 2012,336(6081):554.
[11]	Eriksson N, Macpherson JM, Tung JY, Hon LS, Naughton B, Saxonov S, Avey L, Wojcicki A, Pe'er I, Mountain J,. Web-based, participant-driven studies yield novel genetic associations for common traits. PLoS Genet, 2010,6(6):e1000993.
[12]	Keating B,Bansal AT,Walsh S,Millman J,Newman J,Kidd K,Budowle B,Eisenberg A,Donfack J,Gasparini P,Budimlija Z,Henders AK,Chandrupatla H,Duffy DL,Gordon SD,Hysi P,Liu F,Medland SE,Rubin L,Martin NG,Spector TD,Kayser M; International Visible Trait Genetics (VisiGen) Consortium. First all-in-one diagnostic tool for DNA intelligence: genome-wide inference of biogeographic ancestry, appearance, relatedness, and sex with the Identitas v1 Forensic Chip. Int J Legal Med, 2013,127(3):559-572.
[13]	Andersen JD, Johansen P, Harder S, Christoffersen SR, Delgado MC, Henriksen ST, Nielsen MM, Sørensen E, Ullum H, Hansen T, Dahl AL, Paulsen RR, Børsting C, Morling N . Genetic analyses of the human eye colours using a novel objective method for eye colour classification. Forensic Sci Int Genet, 2013,7(5):508-515.
[14]	Adhikari K, Fuentes-Guajardo M, Quinto-Sánchez M, Mendoza-Revilla J, Camilo Chacón-Duque J,Acuña- 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.
[15]	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.
[16]	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.
[17]	Cole JB, Manyama M, Larson JR, Liberton DK, Ferrara TM, Riccardi SL, Li M, Mio W, Klein OD, Santorico SA, Hallgrímsson B, Spritz RA . Human facial shape and size heritability and genetic correlations. Genetics, 2017,205(2):967-978.
[18]	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.
[19]	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.
[20]	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.
[21]	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.
[22]	Pickrell JK, Berisa T, Liu JZ, Ségurel L, Tung JY, Hinds DA . Detection and interpretation of shared genetic influences on 42 human traits. Nat Genet, 2016,48(7):709-717.
[23]	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.
[24]	Li Y, Zhao WT, Li D, Tao XM, Xiong ZY, Liu J, Zhang W, Ji AQ, Tang K, Liu F, Li CX . 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.
[25]	Li Y, Zhao WT, Li D, Tao XM, Xiong ZY, Liu J, Zhang W, Liu HB, Ji AQ, Tang K, Liu F, Li CX . The effect of EDARV370A on facial and ear morphologies in Uyghur population. Hereditas(Beijing), 2018,40(11):1024-1032.
	李祎, 赵雯婷, 李丹, 陶现明, 熊子义, 刘京, 张微, 刘海渤, 季安全, 唐鲲, 刘凡, 李彩霞 . EDARV370A对新疆维吾尔族人群面部及耳朵形态的效应. 遗传, 2018,40(11):1024-1032.
[26]	Guo JY, Mei X, Tang K . Automatic landmark annotation and dense correspondence registration for 3D human facial images. BMC Bioinformatics, 2013,14:232.
[27]	Chen WY, Qian W, Wu G, Chen WZ, Xian B, Chen XW, Cao YQ, Green CD, Zhao FH, Tang K, Han JD . Three- dimensional human facial morphologies as robust aging markers. Cell Res, 2015,25(5):574-587.
[28]	Gower JC . Generalized procrustes analysis. Psychometrika, 1975,40(1):33-51.
[29]	Li J, Ji L . Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix. Heredity (Edinb), 2005,95(3):221-227.
[30]	Le Pabic P, Ng C, Schilling TF . Fat-Dachsous signaling coordinates cartilage differentiation and polarity during craniofacial development. PLoS Genet, 2014,10(10):e1004726.
[31]	Napierala D, Garcia-Rojas X, Sam K, Wakui K, Chen C, Mendoza-Londono R, Zhou G, Zheng Q, Lee B . Mutations and promoter SNPs in RUNX2, a transcriptional regulator of bone formation. Mol Genet Metab, 2005,86(1-2):257-268.
[32]	Fujita T, Azuma Y, Fukuyama R, Hattori Y, Yoshida C, Koida M, Ogita K, Komori T . Runx2 induces osteoblast and chondrocyte differentiation and enhances their migration by coupling with PI3K-Akt signaling. J Cell Biol, 2004,166(1):85-95.
[33]	Yoshida CA, Yamamoto H, Fujita T, Furuichi T, Ito K, Inoue K, Yamana K, Zanma A, Takada K, Ito Y, Komori T . Runx2 and Runx3 are essential for chondrocyte maturation, and Runx2 regulates limb growth through induction of Indian hedgehog. Genes Dev, 2004,18(8):952-963.
[34]	Sears KE, Goswami A, Flynn JJ, Niswander LA . The correlated evolution of Runx2 tandem repeats, transcriptional activity, and facial length in carnivora. Evol Dev, 2007,9(6):555-565.
[35]	Abdelhak S, Kalatzis V, Heilig R, Compain S, Samson D, Vincent C, Levi-Acobas F, Cruaud C, Le Merrer M, Mathieu M, König R, Vigneron J, Weissenbach J, Petit C, Weil D . Clustering of mutations responsible for branchio- oto-renal (BOR) syndrome in the eyes absent homologous region (eyaHR) of EYA1. Hum Mol Genet, 1997,6(13):2247-2255.
[36]	Pignoni F, Hu B, Zavitz KH, Xiao J, Garrity PA, Zipursky SL . The eye-specification proteins So and Eya form a complex and regulate multiple steps in Drosophila eye development. Cell, 1997,91(7):881-891.
[37]	Koolen DA, Herbergs J, Veltman JA, Pfundt R,van Bokhoven H,Stroink H,Sistermans EA,Brunner HG,Geurts van Kessel A,de Vries BBA. Holoprosencephaly and preaxial polydactyly associated with a 1.24 Mb duplication encompassing FBXW11 at 5q35.1. J Hum Genet, 2006,51(8):721-726.
[38]	Solomon BD, Mercier S, Vélez JI, Pineda-Alvarez DE, Wyllie A, Zhou N, Dubourg C, David V, Odent S, Roessler E, Muenke M . Analysis of genotype-phenotype correlations in human holoprosencephaly. Am J Med Genet C Semin Med Genet, 2010,154C(1):133-141.
[39]	Parry DA, Logan CV, Stegmann AP, Abdelhamed ZA, Calder A, Khan S, Bonthron DT, Clowes V, Sheridan E, Ghali N, Chudley AE, Dobbie A, Stumpel CT, Johnson CA . SAMS, a syndrome of short stature, auditory-canal atresia, mandibular hypoplasia, and skeletal abnormalities is a unique neurocristopathy caused by mutations in Goosecoid. Am J Hum Genet, 2013,93(6):1135-1142.
[40]	Monsoro-Burq AH . PAX transcription factors in neural crest development. Semin Cell Dev Biol, 2015,44:87-96.
[41]	Liu JL . Population genetics of 30 INDELs in populations of Fujian She[Dissertation]. Fujian: Fujian Medical University, 2015.
	刘继来 . 福建畲族群体30个插入/缺失多态性位点的遗传多态性研究[学位论文]. 福建: 福建医科大学, 2015.

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			已有研究						本研究
染色体区段	基因	SNP	表型	参考文献	BETA	OR	SE	P值	EA/OA	EAF	BETA	SE	P值	定量表型
4q31.3	DCHS2	rs9995821	小柱/鼻尖	[13]	0.39	-	0.04	7.33E-19	C/T	0.21	-0.25	0.04	1.58E-08	ChL~AlL
4q31	DCHS2	rs2045323	小柱倾斜; 鼻子突出; 鼻尖角度	[11]	-	-	-	3.00E-09	A/G	0.20	-0.24	0.04	4.40E-08	ChL~AlL
8q13.3	EYA1	rs10504499	下巴	[19]	-	1.292	-	7.90E-34	G/T	0.01	-0.89	0.24	2.03E-04	EnL~ChR
6p21	SUPT3H/ RUNX2	rs1852985	鼻梁宽度	[11]	-	-	-	2.00E-08	T/C	0.28	0.15	0.04	3.05E-04	EnR~ExL
2q22.3	TEX41	rs17479393	下巴	[19]	-	0.832	-	8.10E-30	T/A	0.20	-0.17	0.05	3.29E-04	ExL~Prn
3q21.3	RAB7A/ ACAD9	rs2977562	鼻翼宽度	[13]	0.20	-	0.04	8.63E-07	G/A	0.45	0.12	0.03	3.52E-04	ExR~EnR
14q32.13	DICER1	rs7161418	下巴	[19]	-	1.106	-	1.40E-09	T/G	0.02	0.47	0.13	3.96E-04	Ls~Li
20q12	DHX35	rs2206437	鼻翼宽度	[12]	-0.28	-	0.05	1.61E-09	T/A	0.26	-0.16	0.04	4.90E-04	Prn~Sn
5q35.1	C5orf50	rs6555969	右侧颧点到鼻根点	[17]	0.41	-	0.07	1.17E-09	T/C	0.34	0.14	0.04	6.15E-04	EnR~N
14q32.13	GSC	rs2224309	鼻子大小	[19]	-	-	-	3.80E-09	A/C	0.15	-0.18	0.05	1.02E-03	Sto~Li
8p23.1	MSRA	rs11782517	鼻子大小	[19]	-	-	-	3.80E-07	C/T	0.29	-0.13	0.04	1.21E-03	ChR~Li
2q35	PAX3	rs974448	右眼到鼻根点	[17]	0.29	-	0.05	1.56E-08	G/A	0.08	-0.22	0.07	1.35E-03	ExL~Prn

染色体区段	基因	SNP	效应等位基因	其他等位基因	东亚	南亚	非洲	欧洲	美洲
2q22.3	TEX41	rs17479393	T	A	0.17	0.16	0.07	0.22	0.27
2q35	PAX3	rs974448	G	A	0.07	0.14	0.12	0.20	0.16
3q21.3	RAB7A/ACAD9	rs2977562	G	A	0.48	0.40	0.73	0.25	0.44
4q31.3	DCHS2	rs9995821	C	T	0.22	0.32	0.20	0.22	0.35
4q31	DCHS2	rs2045323	A	G	0.20	0.23	0.03	0.09	0.27
5q35.1	C5orf50	rs6555969	T	C	0.34	0.36	0.07	0.31	0.36
6p21	SUPT3H/RUNX2	rs1852985	T	C	0.24	0.11	0.17	0.13	0.27
8p23.1	MSRA	rs11782517	C	T	0.30	0.28	0.02	0.23	0.35
8q13.3	EYA1	rs10504499	G	T	0.00	0.16	0.04	0.11	0.04
14q32.13	GSC	rs2224309	A	C	0.13	0.16	0.25	0.22	0.13
14q32.13	DICER1	rs7161418	T	G	0.02	0.11	0.19	0.25	0.20
20q12	DHX35	rs2206437	T	A	0.23	0.22	0.25	0.48	0.27

Human facial shape related SNP analysis in Han Chinese populations

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