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A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans


Inter-individual variation in facial shape is one of the most noticeable phenotypes in humans, and it is clearly under genetic regulation; however, almost nothing is known about the genetic basis of normal human facial morphology. We therefore conducted a genome-wide association study for facial shape phenotypes in multiple discovery and replication cohorts, considering almost ten thousand individuals of European descent from several countries. Phenotyping of facial shape features was based on landmark data obtained from three-dimensional head magnetic resonance images (MRIs) and two-dimensional portrait images. We identified five independent genetic loci associated with different facial phenotypes, suggesting the involvement of five candidate genes—PRDM16, PAX3, TP63, C5orf50, and COL17A1—in the determination of the human face. Three of them have been implicated previously in vertebrate craniofacial development and disease, and the remaining two genes potentially represent novel players in the molecular networks governing facial development. Our finding at PAX3 influencing the position of the nasion replicates a recent GWAS of facial features. In addition to the reported GWA findings, we established links between common DNA variants previously associated with NSCL/P at 2p21, 8q24, 13q31, and 17q22 and normal facial-shape variations based on a candidate gene approach. Overall our study implies that DNA variants in genes essential for craniofacial development contribute with relatively small effect size to the spectrum of normal variation in human facial morphology. This observation has important consequences for future studies aiming to identify more genes involved in the human facial morphology, as well as for potential applications of DNA prediction of facial shape such as in future forensic applications.


Vyšlo v časopise: A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans. PLoS Genet 8(9): e32767. doi:10.1371/journal.pgen.1002932
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1002932

Souhrn

Inter-individual variation in facial shape is one of the most noticeable phenotypes in humans, and it is clearly under genetic regulation; however, almost nothing is known about the genetic basis of normal human facial morphology. We therefore conducted a genome-wide association study for facial shape phenotypes in multiple discovery and replication cohorts, considering almost ten thousand individuals of European descent from several countries. Phenotyping of facial shape features was based on landmark data obtained from three-dimensional head magnetic resonance images (MRIs) and two-dimensional portrait images. We identified five independent genetic loci associated with different facial phenotypes, suggesting the involvement of five candidate genes—PRDM16, PAX3, TP63, C5orf50, and COL17A1—in the determination of the human face. Three of them have been implicated previously in vertebrate craniofacial development and disease, and the remaining two genes potentially represent novel players in the molecular networks governing facial development. Our finding at PAX3 influencing the position of the nasion replicates a recent GWAS of facial features. In addition to the reported GWA findings, we established links between common DNA variants previously associated with NSCL/P at 2p21, 8q24, 13q31, and 17q22 and normal facial-shape variations based on a candidate gene approach. Overall our study implies that DNA variants in genes essential for craniofacial development contribute with relatively small effect size to the spectrum of normal variation in human facial morphology. This observation has important consequences for future studies aiming to identify more genes involved in the human facial morphology, as well as for potential applications of DNA prediction of facial shape such as in future forensic applications.


Zdroje

1. SavoyeI, LoosR, CarelsC, DeromC, VlietinckR (1998) A genetic study of anteroposterior and vertical facial proportions using model-fitting. Angle Orthod 68: 467–470.

2. JohannsdottirB, ThorarinssonF, ThordarsonA, MagnussonTE (2005) Heritability of craniofacial characteristics between parents and offspring estimated from lateral cephalograms. Am J Orthod Dentofacial Orthop 127: 200–207; quiz 260-201.

3. KingL, HarrisEF, TolleyEA (1993) Heritability of cephalometric and occlusal variables as assessed from siblings with overt malocclusions. Am J Orthod Dentofacial Orthop 104: 121–131.

4. CarsonEA (2006) Maximum likelihood estimation of human craniometric heritabilities. Am J Phys Anthropol 131: 169–180.

5. HarvatiK, WeaverTD (2006) Human cranial anatomy and the differential preservation of population history and climate signatures. Anat Rec A Discov Mol Cell Evol Biol 288: 1225–1233.

6. SmithHF (2009) Which cranial regions reflect molecular distances reliably in humans? Evidence from three-dimensional morphology. American Journal of Human Biology 21: 36–47.

7. SmithHF, TerhuneCE, LockwoodCA (2007) Genetic, geographic, and environmental correlates of human temporal bone variation. Am J Phys Anthropol 134: 312–322.

8. von Cramon-TaubadelN (2009) Congruence of individual cranial bone morphology and neutral molecular affinity patterns in modern humans. Am J Phys Anthropol 140: 205–215.

9. von Cramon-TaubadelN (2009) Revisiting the homoiology hypothesis: the impact of phenotypic plasticity on the reconstruction of human population history from craniometric data. Journal of Human Evolution 57: 179–190.

10. von Cramon-TaubadelN (2011) The relative efficacy of functional and developmental cranial modules for reconstructing global human population history. Am J Phys Anthropol 146: 83–93.

11. von Cramon-TaubadelN (2011) Global human mandibular variation reflects differences in agricultural and hunter-gatherer subsistence strategies. Proc Natl Acad Sci U S A 108: 19546–19551.

12. SuriM (2005) Craniofacial syndromes. Semin Fetal Neonatal Med 10: 243–257.

13. BastirM, RosasA, StringerC, CuetaraJM, KruszynskiR, et al. (2010) Effects of brain and facial size on basicranial form in human and primate evolution. Journal of Human Evolution 58: 424–431.

14. NorthcuttRG, GansC (1983) The genesis of neural crest and epidermal placodes: a reinterpretation of vertebrate origins. Q Rev Biol 58: 1–28.

15. KayserM, de KnijffP (2011) Improving human forensics through advances in genetics, genomics and molecular biology. Nat Rev Genet 12: 179–192.

16. LiuF, WollsteinA, HysiPG, Ankra-BaduGA, SpectorTD, et al. (2010) Digital quantification of human eye color highlights genetic association of three new loci. PLoS Genet 6: e1000934 doi:10.1371/journal.pgen.1000934.

17. WalshS, LiuF, BallantyneKN, van OvenM, LaoO, et al. (2011) IrisPlex: a sensitive DNA tool for accurate prediction of blue and brown eye colour in the absence of ancestry information. Forensic Sci Int Genet 5: 170–180.

18. LiuF, van DuijnK, VingerlingJR, HofmanA, UitterlindenAG, et al. (2009) Eye color and the prediction of complex phenotypes from genotypes. Current Biology 19: R192–193.

19. BranickiW, LiuF, van DuijnK, Draus-BariniJ, PospiechE, et al. (2011) Model-based prediction of human hair color using DNA variants. Hum Genet 129: 443–454.

20. BoehringerS, van der LijnF, LiuF, GuntherM, SinigerovaS, et al. (2011) Genetic determination of human facial morphology: links between cleft-lips and normal variation. Eur J Hum Genet 19: 1192–1197.

21. MareckovaK, WeinbrandZ, ChakravartyMM, LawrenceC, AleongR, et al. (2011) Testosterone-mediated sex differences in the face shape during adolescence: subjective impressions and objective features. Horm Behav 60: 681–690.

22. ChakravartyMM, AleongR, LeonardG, PerronM, PikeGB, et al. (2011) Automated analysis of craniofacial morphology using magnetic resonance images. PLoS ONE 6: e20241 doi:10.1371/journal.pone.0020241.

23. SiegelAF, BensonRH (1982) A Robust Comparison of Biological Shapes. Biometrics 38: 341–350.

24. RohlfFJ, SliceD (1990) Extensions of the Procrustes Method for the Optimal Superimposition of Landmarks. Systematic Zoology 39: 40–59.

25. Thompson D (1992) On Growth and Form: The Complete Revised Edition. New York: Dover.

26. CheverudJ, LewisJL, BachrachW, LewWD (1983) The Measurement of Form and Variation in Form - an Application of 3-Dimensional Quantitative Morphology by Finite-Element Methods. American Journal of Physical Anthropology 62: 151–165.

27. BooksteinFL (1989) Principal Warps - Thin-Plate Splines and the Decomposition of Deformations. Ieee Transactions on Pattern Analysis and Machine Intelligence 11: 567–585.

28. LeleS, RichtsmeierJT (1991) Euclidean Distance Matrix Analysis - a Coordinate-Free Approach for Comparing Biological Shapes Using Landmark Data. American Journal of Physical Anthropology 86: 415–427.

29. LeleS, ColeTM (1996) A new test for shape differences when variance-covariance matrices are unequal. Journal of Human Evolution 31: 193–212.

30. Dryden IL, Mardia KV (1998) Statistical Shape Analysis: John Wiley, Chichester.

31. SliceDE (2007) Geometric morphometrics. Annual Review of Anthropology 36: 261–281.

32. RichtsmeierJT, DeleonVB, LeleSR (2002) The promise of geometric morphometrics. Yearbook of Physical Anthropology, Vol 45 45: 63–91.

33. GoodallC (1991) Procrustes Methods in the Statistical-Analysis of Shape. Journal of the Royal Statistical Society Series B-Methodological 53: 285–339.

34. PaternosterL, ZhurovAI, TomaAM, KempJP, St PourcainB, et al. (2012) Genome-wide association study of three-dimensional facial morphology identifies a variant in PAX3 associated with nasion position. Am J Hum Genet 90: 478–485.

35. RahimovF, MarazitaML, ViselA, CooperME, HitchlerMJ, et al. (2008) Disruption of an AP-2alpha binding site in an IRF6 enhancer is associated with cleft lip. Nat Genet 40: 1341–1347.

36. BeatyTH, MurrayJC, MarazitaML, MungerRG, RuczinskiI, et al. (2010) A genome-wide association study of cleft lip with and without cleft palate identifies risk variants near MAFB and ABCA4. Nat Genet 42: 525–529.

37. BirnbaumS, LudwigKU, ReutterH, HermsS, SteffensM, et al. (2009) Key susceptibility locus for nonsyndromic cleft lip with or without cleft palate on chromosome 8q24. Nat Genet 41: 473–477.

38. MangoldE, LudwigKU, BirnbaumS, BaluardoC, FerrianM, et al. (2010) Genome-wide association study identifies two susceptibility loci for nonsyndromic cleft lip with or without cleft palate. Nat Genet 42: 24–26.

39. PingaultV, EnteD, Dastot-Le MoalF, GoossensM, MarlinS, et al. (2010) Review and update of mutations causing Waardenburg syndrome. Hum Mutat 31: 391–406.

40. WuM, LiJ, EnglekaKA, ZhouB, LuMM, et al. (2008) Persistent expression of Pax3 in the neural crest causes cleft palate and defective osteogenesis in mice. J Clin Invest 118: 2076–2087.

41. WarnerDR, HornKH, MuddL, WebbCL, GreeneRM, et al. (2007) PRDM16/MEL1: a novel Smad binding protein expressed in murine embryonic orofacial tissue. Biochim Biophys Acta 1773: 814–820.

42. BjorkBC, Turbe-DoanA, PrysakM, HerronBJ, BeierDR (2010) Prdm16 is required for normal palatogenesis in mice. Hum Mol Genet 19: 774–789.

43. RinneT, BrunnerHG, van BokhovenH (2007) p63-associated disorders. Cell Cycle 6: 262–268.

44. LeoyklangP, SiriwanP, ShotelersukV (2006) A mutation of the p63 gene in non-syndromic cleft lip. J Med Genet 43: e28.

45. ThomasonHA, DixonMJ, DixonJ (2008) Facial clefting in Tp63 deficient mice results from altered Bmp4, Fgf8 and Shh signaling. Dev Biol 321: 273–282.

46. KoolenDA, HerbergsJ, VeltmanJA, PfundtR, van BokhovenH, et al. (2006) Holoprosencephaly and preaxial polydactyly associated with a 1.24 Mb duplication encompassing FBXW11 at 5q35.1. J Hum Genet 51: 721–726.

47. SolomonBD, MercierS, VelezJI, Pineda-AlvarezDE, WyllieA, et al. (2010) Analysis of genotype-phenotype correlations in human holoprosencephaly. Am J Med Genet C Semin Med Genet 154C: 133–141.

48. PasmooijAM, PasHH, JansenGH, LemminkHH, JonkmanMF (2007) Localized and generalized forms of blistering in junctional epidermolysis bullosa due to COL17A1 mutations in the Netherlands. Br J Dermatol 156: 861–870.

49. WinterRM (1996) What's in a face? Nat Genet 12: 124–129.

50. VollmarT, MausB, WurtzRP, Gillessen-KaesbachG, HorsthemkeB, et al. (2008) Impact of geometry and viewing angle on classification accuracy of 2D based analysis of dysmorphic faces. Eur J Med Genet 51: 44–53.

51. WeinbergSM, MaherBS, MarazitaML (2006) Parental craniofacial morphology in cleft lip with or without cleft palate as determined by cephalometry: a meta-analysis. Orthod Craniofac Res 9: 18–30.

52. WeinbergSM, NaidooSD, BardiKM, BrandonCA, NeiswangerK, et al. (2009) Face shape of unaffected parents with cleft affected offspring: combining three-dimensional surface imaging and geometric morphometrics. Orthod Craniofac Res 12: 271–281.

53. Lango AllenH, EstradaK, LettreG, BerndtSI, WeedonMN, et al. (2010) Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467: 832–838.

54. HofmanA, GrobbeeDE, de JongPT, van den OuwelandFA (1991) Determinants of disease and disability in the elderly: the Rotterdam Elderly Study. Eur J Epidemiol 7: 403–422.

55. HofmanA, BretelerMM, van DuijnCM, KrestinGP, PolsHA, et al. (2007) The Rotterdam Study: objectives and design update. Eur J Epidemiol 22: 819–829.

56. HofmanA, van DuijnCM, FrancoOH, IkramMA, JanssenHL, et al. (2011) The Rotterdam Study: 2012 objectives and design update. Eur J Epidemiol 26: 657–686.

57. KayserM, LiuF, JanssensAC, RivadeneiraF, LaoO, et al. (2008) Three genome-wide association studies and a linkage analysis identify HERC2 as a human iris color gene. Am J Hum Genet 82: 411–423.

58. IkramMA, van der LugtA, NiessenWJ, KrestinGP, KoudstaalPJ, et al. (2011) The Rotterdam Scan Study: design and update up to 2012. Eur J Epidemiol

59. WrightMJ, MartinNG (2004) Brisbane Adolescent Twin Study: Outline of study methods and research projects. Australian Journal of Psychology 56: 65–78.

60. de ZubicarayGI, ChiangMC, McMahonKL, ShattuckDW, TogaAW, et al. (2008) Meeting the Challenges of Neuroimaging Genetics. Brain Imaging Behav 2: 258–263.

61. BrunCC, LeporeN, PennecX, LeeAD, BaryshevaM, et al. (2009) Mapping the regional influence of genetics on brain structure variability–a tensor-based morphometry study. Neuroimage 48: 37–49.

62. JohnU, GreinerB, HenselE, LudemannJ, PiekM, et al. (2001) Study of Health In Pomerania (SHIP): a health examination survey in an east German region: objectives and design. Soz Praventivmed 46: 186–194.

63. VolzkeH, AlteD, SchmidtCO, RadkeD, LorbeerR, et al. (2011) Cohort profile: the study of health in Pomerania. Int J Epidemiol 40: 294–307.

64. HegenscheidK, KuhnJP, VolzkeH, BiffarR, HostenN, et al. (2009) Whole-body magnetic resonance imaging of healthy volunteers: pilot study results from the population-based SHIP study. Rofo 181: 748–759.

65. PausovaZ, PausT, AbrahamowiczM, AlmerigiJ, ArbourN, et al. (2007) Genes, maternal smoking, and the offspring brain and body during adolescence: design of the Saguenay Youth Study. Hum Brain Mapp 28: 502–518.

66. MelkaMG, BernardM, MahboubiA, AbrahamowiczM, PatersonAD, et al. (2012) Genome-wide scan for loci of adolescent obesity and their relationship with blood pressure. J Clin Endocrinol Metab 97: E145–150.

67. SpectorTD, WilliamsFM (2006) The UK Adult Twin Registry (TwinsUK). Twin Res Hum Genet 9: 899–906.

68. Hall JG, Allanson JE, Gripp KW, Slavotinek AM (2007) Handbook of Physical Measurements Second Edition: Oxford university press.

69. KendallDG (1984) Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces. Bulletin of the London Mathematical Society 16: 81–121.

70. SliceDE (2001) Landmark coordinates aligned by procrustes analysis do not lie in Kendall's shape space. Syst Biol 50: 141–149.

71. Neale MC, Boker SM, Xie G, Maes HH (1999) Mx: Statistical Modeling.: Department of Psychiatry, Box 126 MCV; Richmond, VA 23298.

72. ZhaiG, van MeursJB, LivshitsG, MeulenbeltI, ValdesAM, et al. (2009) A genome-wide association study suggests that a locus within the ataxin 2 binding protein 1 gene is associated with hand osteoarthritis: the Treat-OA consortium. J Med Genet 46: 614–616.

73. MelkaMG, BernardM, MahboubiA, AbrahamowiczM, PatersonAD, et al. (2011) Genome-Wide Scan for Loci of Adolescent Obesity and Their Relationship with Blood Pressure. J Clin Endocrinol Metab

74. HysiPG, YoungTL, MackeyDA, AndrewT, Fernandez-MedardeA, et al. (2010) A genome-wide association study for myopia and refractive error identifies a susceptibility locus at 15q25. Nat Genet 42: 902–905.

75. PriceAL, PattersonNJ, PlengeRM, WeinblattME, ShadickNA, et al. (2006) Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet 38: 904–909.

76. AulchenkoYS, RipkeS, IsaacsA, van DuijnCM (2007) GenABEL: an R library for genome-wide association analysis. Bioinformatics 23: 1294–1296.

77. Stevens J (2002) Applied multivariate statistics for the social sciences. Mahwah, NJ: Lawrence Erblaum.

78. O'ReillyPF, HoggartCJ, PomyenY, CalboliFC, ElliottP, et al. (2012) MultiPhen: Joint Model of Multiple Phenotypes Can Increase Discovery in GWAS. PLoS ONE 7: e34861 doi:10.1371/journal.pone.0034861.

79. AbecasisGR, ChernySS, CooksonWO, CardonLR (2002) Merlin–rapid analysis of dense genetic maps using sparse gene flow trees. Nat Genet 30: 97–101.

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