The DOI matches its Crossref record; 113 of the 115 references it cites were found in a registry or an index.
Insights into the genetic architecture of the human face
Open accessPublished version of a preprint
Abstract
The human face is complex and multipartite, and characterization of its genetic architecture remains challenging. Using a multivariate genome-wide association study meta-analysis of 8,246 European individuals, we identified 203 genome-wide-significant signals (120 also study-wide significant) associated with normal-range facial variation. Follow-up analyses indicate that the regions surrounding these signals are enriched for enhancer activity in cranial neural crest cells and craniofacial tissues, several regions harbor multiple signals with associations to different facial phenotypes, and there is evidence for potential coordinated actions of variants. In summary, our analyses provide insights into the understanding of how complex morphological traits are shaped by both individual and coordinated genetic actions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A significant portion of the 16 ear-related loci discussed here have been shown to have strong ties to human facial structure [8,15,21,22,30].”
From Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci (2023) · cites this paper as [30]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Li, Y., Zhao, W., Li, D., Tao, X., Xiong, Z., Liu, J., Zhang, W., Ji, A., Tang, K., Liu, F., et al. (2019) · Human Genetics · doi:10.1007/s00439-019-02023-7 · Cited by 25
Retractedlavaan : An R Package for Structural Equation Modeling
Rosseel, Y. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i02 · Cited by 27,955
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
Self-citationAn integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709
Circos: An information aesthetic for comparative genomicsPreprint
Krzywinski, M. I., Schein, J. E., Birol, İ., Connors, J. M., Gascoyne, R. D., Horsman, D. E., Jones, S. J. M., & Marra, M. A. (2009) · Genome Research · doi:10.1101/gr.092759.109 · Cited by 11,073
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review
Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006) · The Journal of Educational Research · doi:10.3200/joer.99.6.323-338 · Cited by 6,937
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559
Cited by
Sorted by citations
Items 101–167 of 167
Null, M., Yilmaz, F., Astling, D. P., Yu, H., Cole, J. B., Hallgrímsson, B., Santorico, S. A., Spritz, R. A., Shaikh, T. H., & Hendricks, A. E. (2021) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2021.100082 · Cited by 3
Cell Type- and Tissue-specific Enhancers in Craniofacial DevelopmentPreprint
Rajderkar, S. S., Paraiso, K. D., Amaral, M. L., Kosicki, M., Cook, L., Darbellay, F., Spurrell, C. H., Osterwalder, M., Zhu, Y., Wu, H., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.26.546603 · Cited by 3
Three-Dimensional Facial Morphology in Patients with Craniofacial Microsomia and Microtia
Ronde, E. M., de Jong, G., Nolte, J. W., Nienhuijs, M. E. L., Bulstrode, N., Maal, T., Becking, A. G., & Breugem, C. C. (2024) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000011831 · Cited by 2
3D facial imaging: a novel approach for metabolic abnormalities risk profiling
Peng, Q., Cheung, Y. K., Liu, Y., Wang, Y., Tan, J., Yang, Y., Wang, J., Han, J. J., Li, J., Liu, F., et al. (2025) · Science China Life Sciences · doi:10.1007/s11427-024-2726-8 · Cited by 2
Self-citationFrom Calibrated Morphs to Facial Stimuli: The Beauty of a Statistically Informed Picture
Windhager, S., Schæfer, K., & Fink, B. (2025) · American Journal of Human Biology · doi:10.1002/ajhb.70048 · Cited by 2
Association of PAX3 Gene Polymorphism with Three-Dimensional Nasal Root Morphology
Ueda, S., Kimura, R., Kim, Y., Adel, M., Hikita, Y., Hatanaka, R., Takahashi, M., Koizumi, S., & Yamaguchi, T. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26167842 · Cited by 3
McLaughlin, M. T., Sun, M. R., Beames, T. G., Steward, A. C., Theisen, J. W. M., Chung, H. M., Everson, J. L., Moskowitz, I. P. G., Sheets, M. D., & Lipinski, R. J. (2022) · Developmental Dynamics · doi:10.1002/dvdy.555 · Cited by 2
Qiao, H., Tan, J., Yan, J., Sun, C., Yin, X., Li, Z., Wu, J., Guan, H., Wen, S., Zhang, M., et al. (2024) · iScience · doi:10.1016/j.isci.2024.109325 · Cited by 2
Self-citationComment on “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence”
Wagner, J. K., Claessens, N., Maloney, C. M., & Claes, P. D. (2025) · Advanced Science · doi:10.1002/advs.202513207 · Cited by 2
Self-citationKnocking-out the human face genes TBX15 and PAX1 in mice alters facial and other physical morphologyPreprint
Yu, Q., Xiong, Z., Li, Y., Zhou, H., Kayser, M., Liu, L., & Liu, F. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.26.445773 · Cited by 2
TATTOO-seq delineates spatial and cell type-specific regulatory programs during limb patterningPreprint
Bastide, S., Chomsky, E., Saudemont, B., Loe-Mie, Y., Schmutz, S., Novault, S., Marlow, H., Tanay, A., & Spitz, F. (2022) · bioRxiv · doi:10.1101/2022.03.20.482385 · Cited by 1
Automated 3D Landmarking of the Skull: A Novel Approach for Craniofacial AnalysisPreprint
Wilke, F., Matthews, H. S., Herrick, N., Dopkins, N., Claes, P. D., & Walsh, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.09.579642 · Cited by 2
Self-citationGoovaerts, S., Devine, J., Claessens, N., Gabbita, S., Deprest, J., Pauwels, K., Herrick, N., Mohammed, J., Mounier, A., Sofer, T., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.29.696848 · Cited by 2
Self-citationKaczmarek, M., & Zysek, W. (2022) · Postępy Biochemii · doi:10.18388/pb.2021_449 · Cited by 1
A genome-wide association scan reveals novel loci for facial traits of Koreans
Cho, H., Ban, H., Jin, H., Cha, S., & Eom, Y. (2023) · Genomics · doi:10.1016/j.ygeno.2023.110710 · Cited by 1
Genetic Influences on Snoring: A Narrative Review
Han, S. A., & Kim, J. (2024) · Sleep Medicine Research · doi:10.17241/smr.2023.01991 · Cited by 1
Küchler, É. C., Meger, M. N., Pires, B. C. R., Beisel-Memmert, S., Hemming, D., Coletta, R. D., Scariot, R., Matsumoto, M. A. N., Oliveira, M. A. H. D. M., Kirschneck, C., et al. (2025) · Frontiers in Dental Medicine · doi:10.3389/fdmed.2025.1546295 · Cited by 1
Exploring the association between SNPs and facial morphology in a Spanish population
Navarro-López, B., Wilke, F., Suárez-Ulloa, V., Baeta, M., Martos, R., Moreno-López, O., Olalde, Í., Martínez‐Jarreta, B., Jiménez, S., Walsh, S., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-98748-9 · Cited by 2
Self-citationNeurostomatology: neologism or a paradigm change? A perspective evaluation
Valerio, R. M. F., do Nascimento, I. J. B., & Valério, P. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00149.2025 · Cited by 1
Variants Near NOG and SOX9 Are Associated with Mandibular Retrognathia
Juuri, E., Strausz, S. J., Hasan, M. R., Hongqiang, M., JÓNSSON, T., Thordarsson, Á., Auðólfsson, G., Gudbjartsson, D. F., Stefánsson, H., Nieminen, P., et al. (2025) · Journal of Dental Research · doi:10.1177/00220345251397375 · Cited by 1
Huang, Y., Iyyanar, P. P. R., Xu, J., Adhikari, N., Wu, Z., Lan, Y., & Jiang, R. (2026) · Developmental Biology · doi:10.1016/j.ydbio.2026.03.008 · Cited by 1
Sheehan, M. J., & Zipple, M. N. (2026) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2025.0190 · Cited by 1
Selection trends on nasal-associated SNP variants across human populations
Raza, R. Z., Ma, L., Zhang, Z., Bào, Y., & Abbasi, A. A. (2021) · Meta Gene · doi:10.1016/j.mgene.2021.100872 · Cited by 1
Jordan, B. (2021) · médecine/sciences · doi:10.1051/medsci/2021008 · Cited by 1
Feng, F., Wang, K., Liu, X., Gu, Q., & Wang, G. (2022) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm55620.2022.9995329 · Cited by 1
Iwaya, C., & Iwata, J. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1587052 · Cited by 1
van den Heuvel, M. P., & Danielle Posthuma, B. (2021) · Nature Genetics · doi:10.1038/s41588-021-00858-3 · Cited by 1
Shared heritability of face and brain shape distinct from cognitive traitsPreprint
Naqvi, S., Sleyp, Y., Hoskens, H., Indencleef, K., Spence, J. P., Bruffaerts, R., Radwan, A., Eller, R. J., Richmond, S., Shriver, M. D., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.29.269258 · Cited by 1
Self-citationWe scanned the DNA of 8,000 people to see how facial features are controlled by genes
Weinberg, S. M., & Shaffer, J. R. (2020) · doi:10.64628/aai.x6qjm644c · Cited by 1
Self-citationPRDM proteins control Wnt/β-catenin activity to regulate craniofacial chondrocyte differentiationPreprint
Shull, L. C., Kim, H. M., Lencer, E. S., Goyama, S., Kurokawa, M., Costello, J. C., Jones, K. L., & Artinger, K. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.21.445211
A ROR2 Coding Variant is Associated with Craniofacial Variation in Domestic PigeonsPreprint
Boer, E. F., Hollebeke, H. F. V., Holt, C., Yandell, M. D., & Shapiro, M. D. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3808295
Bertól, J. W., Johnston, S., Ahmed, R., Xie, V. K., Hubka, K. M., Cruz, L. A., Nitschke, L., Stetsiv, M., Goering, J. P., Nistor, P., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.22.457283
Self-citationMcLaughlin, M. T., Sun, M. R., Beames, T. G., Steward, A. C., Theisen, J. W. M., Chung, H. M., Everson, J. L., Moskowitz, I. P. G., Sheets, M. D., & Lipinski, R. J. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.16.500318
New Genetic Variants Underlying East Asian Facial Morphology
(2022) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.62328
An anthropometric study of the morphological facial index of Tibetan youth living in TibetPreprint
Zhong, H., Tong, Q., Pema, D., & Ren, H. (2022) · Research Square · doi:10.21203/rs.3.rs-2072799/v1
Diagnosis and Classification of Branchial Arch Diseases
Meyer, U., & Kerkfeld, V. (2023) · Springer eBooks · doi:10.1007/978-3-031-28069-6_8
Jordan, B. (2024) · médecine/sciences · doi:10.1051/medsci/2024016
Epigenetic Control of Cell Fate Decisions by Enhancer-Derived Long Noncoding RNAs
Mattick, J. S. (2024) · Springer eBooks · doi:10.1007/978-3-031-59286-7_2
Khonsari, R. H., & Catala, M. (2026) · Encyclopédie médico-chirurgicale. Oto-rhino-laryngologie · doi:10.1016/s0246-0351(25)47403-0
Logic and Methods for Scientific Research of Sasang Constitution in Korean Medicine
Chi, G. Y. (2024) · 동의생리병리학회지 · doi:10.15188/kjopp.2024.12.38.6.239
Surgery of Micrognathia from the Neonate to Early Childhood
Meyer, U. (2024) · Springer eBooks · doi:10.1007/978-3-031-51773-0_16
Li, Z., Windels, S. F. L., Malod‐Dognin, N., Weinberg, S. M., Marazita, M. L., Walsh, S., Shriver, M. D., Fardo, D. W., Claes, P. D., Pržulj, N., et al. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf122
Self-citationBones, brains, and bias—neural crest cell contribution to craniofacial structure
Carmichael, J. S., Darland, D. C., Pedersen, D. E., & Simmons, R. B. (2025) · Developmental Biology · doi:10.1016/j.ydbio.2025.05.008
Navarro-López, B., Suárez-Ulloa, V., Baeta, M., Martos, R., Moreno-López, O., Raffone, C., Ibáñez, O. C., Egurain, H., Martínez‐Jarreta, B., García, C., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5334592
Genetic regulation of body size and morphology from adolescence to early adulthood
Silventoinen, K., Krueger, R. F., Jelenkovic, A., Sund, R., Roisman, G. I., Kaprio, J. A., & McGue, M. K. (2025) · Pediatric Research · doi:10.1038/s41390-025-04259-8
Liu, X., Xiong, Z., Liu, F., Nijsten, T. E. C., Wolvius, E. B., Kayser, M., & Roshchupkin, G. V. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.03.668352
Optimizing Polygenic Scores for Complex Morphological Traits: A Case Study in Nasal Shape PredictionPreprint
Yuan, M., Goovaerts, S., Claessens, N., Devine, J., Becelaere, S., Cleynen, I., & Claes, P. (2025) · bioRxiv · doi:10.1101/2025.09.14.676081
Self-citationVanneste, M., Matthews, H. S., Sleyp, Y., Hammond, P., Shriver, M. D., Weinberg, S. M., Marazita, M. L., Walsh, S., Hallgrímsson, B., Klein, O. D., et al. (2025) · Journal of Medical Genetics · doi:10.1136/jmg-2025-110940
Self-citationOzga, E., Milto, K. M., Demurtas, M., Bates, L. E., Grimes, G. R., Azami, T., Su, J., Angelis, C. D., Trizzino, M., Nichols, J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.18.696654
Sooknah, M., Srinivasan, R., Sankarapandian, S., Chen, Z., & Xu, J. (2026) · medRxiv · doi:10.64898/2026.04.10.26350624
Wang, M., Feng, Y., Luo, L., Wang, Z., Chen, J., Sun, Q., Huang, Y., Tang, R., Liu, C., & He, G. (2026) · International Journal of Legal Medicine · doi:10.1007/s00414-026-03798-x · Cited by 1
Ronde, E. M., de Jong, G. A., Nolte, J. W., Nienhuijs, M. E. L., Bulstrode, N., Maal, T., Becking, A. G., Breugem, C. C., Becking, A. G., Bolks, J., et al. (2026) · European Journal of Pediatrics · doi:10.1007/s00431-026-06973-9
Hostalet, N., Martínez‐Abadías, N., & Fatjó‐Vilas, M. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106753
Craniofacial features and pathogenic variants in 1,252 children with neurodevelopmental disorders
Chen, R., Wu, D.-D., Zhang, J., Dai, Y.-Y., Xia, D.-Q., Chen, M.-Y., Li, X.-N., Liu, Q.-Q., Chen, Y.-H., & Li, R. (2026) · BMC Pediatrics · doi:10.1186/s12887-026-07267-7
Leveraging the genetics of human face shape boosts the discovery of orofacial cleft risk loci
Herrick, N., Goovaerts, S., Manchel, A., Lee, M. K., Zhang, X., Davies, A., Carlson, J. C., Leslie, E. J., Lewis, S. J., Ml, M., et al. (2026) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2026.100655
Self-citationExploring the association between genetic polymorphisms in FGFR2 and children’s facial morphology
Rinnert, C., Beisel-Memmert, S., Proff, P., de Araujo, C. M., Baratto, M. J. P., Perin, C. P., Corá, J., Kirschneck, C., & Küchler, É. C. (2026) · Head & Face Medicine · doi:10.1186/s13005-026-00649-3
Grant, J. M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7311322
Shared genetic basis and structure of syndromic and normal facial variation
Aponte, J. D., Silva, C. D., Hoskens, H., Goovaerts, S., Vanneste, M., Devine, J., Caine, K., Beaudet, A. B., Luchman, H. A., Weinberg, S. M., et al. (2026) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2026.07.014
Self-citationVerseput, J. J. A., Claessens, N., Vanneste, M., de Jong, G. A., Peeters, H., Hallgrímsson, B., de Vries, L. M., de Vries, S. L., Maal, T., Claes, P. D., et al. (2026) · European Journal of Human Genetics · doi:10.1038/s41431-026-02221-8
Self-citationCamacho-Aldaz, M. P., Egas, M. S. R., Iles, K. G. I., Carrascal, D. M. M., & Crespo, M. E. S. (2026) · Salud Medicina e Innovación Journal · doi:10.70577/sbkz3907
Genetic factor analysis for characterizing phenome-wide patterns of genetic pleiotropy
Morrison, J., Willwerscheid, J., Sylvertooth, D., He, X., & Stephens, M. (2026) · Nature Genetics · doi:10.1038/s41588-026-02753-1 · Cited by 3
Atlas of cell types and regulatory elements underlying human facial diversity
Erickson, A. G., Gershtein, Y., Galimullina, R., Waern, F., Riba, T., Tesařová, M., Schnyder, D., Li, L., Vaulin, N., Samuelsson, S., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02748-y
Self-citationCarracedo, Á., Ambroa-Conde, A., Blanco-Verea, A., Brión, M., de la Puente, M., Freire-Aradas, A., Mosquera-Miguel, A., Phillips, C., Rodríguez-López, A., & Lareu, M. (2026) · Forensic Sciences Research · doi:10.3788/tfsr20260061
Herranz-Olano, L., & Gomes, C. (2026) · Forensic Sciences · doi:10.3390/forensicsci6040088
Advances in forensic DNA phenotyping
Li, C., Zhang, H., Liu, C., & Hu, L. (2026) · doi:10.26599/fsa.2026.9750002
Metadata
- Authors
- White, J. D., Indencleef, K., Naqvi, S., Eller, R. J., Hoskens, H., Roosenboom, J., Lee, M. K., Li, J., Mohammed, J., Richmond, S., Quillen, E. E., Norton, H. L., Feingold, E., Swigut, T., Marazita, M. L., Peeters, H., Hens, G., Shaffer, J. R., Wysocka, J., Walsh, S., Weinberg, S. M., Shriver, M. D., & Claes, P.
- Affiliations
- Pennsylvania State University (US)
- Universitair Ziekenhuis Leuven (BE)
- Stanford Medicine (US)
- Indiana University – Purdue University Indianapolis (US)
- University of Pittsburgh (US)
- Cardiff University (GB)
- Wake Forest University Health Sciences (US)
- University of Cincinnati (US)
- KU Leuven (BE)
- Howard Hughes Medical Institute (US)
- Corresponding author
- White, Julie D.
- Indencleef, Karlijne
- Claes, Peter
- ORCID
- White, Julie D.
- Indencleef, Karlijne
- Naqvi, Sahin
- Eller, Ryan J.
- Hoskens, Hanne
- Roosenboom, Jasmien
- Lee, Myoung Keun
- Li, Jiarui
- Mohammed, Jaaved
- Richmond, Stephen
- Quillen, Ellen E.
- Norton, Heather L.
- Feingold, Eleanor
- Swigut, Tomek
- Marazita, Mary L.
- Peeters, Hilde
- Hens, Greet
- Shaffer, John R.
- Wysocka, Joanna
- Walsh, Susan
- Weinberg, Seth M.
- Shriver, Mark D.
- Claes, Peter
- Venue
- Nature Genetics
- Published
- 2020-12-07
- Volume
- 53
- Issue
- 1
- Pages
- 45-53
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC7796995
- OpenAlex
- W3113354915
- Cited by
- 166
- References
- 115
- Citations by year
- 2026: 22 · 2025: 29 · 2024: 30 · 2023: 27 · 2022: 32 · 2021: 24 · 2020: 2
- FWCI
- 12.46
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Nature Genetics (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Lirias (submittedVersion, other-oa)
- Funders
- U.S. Department of Defense
- Howard Hughes Medical Institute
- March of Dimes Foundation (1-FY15-312)
- University of Pennsylvania
- University of Washington
- University of Cincinnati
- Indiana University-Purdue University Indianapolis
- Pennsylvania State University
- Wellcome Trust (102215/2/13/2), 217065/Z/19/Z)
- University of California Research Initiatives
- University of Bristol (102215/2/13/2)
- Fonds Wetenschappelijk Onderzoek (G078518N)
- KU Leuven (C14/15/081, C14/20/081, BOF‐C1)
- Vlaamse regering (G078518N)
- National Institutes of Health (X01-HG007485, HHSN268201200008I, HG007485, 102215/2/13/2)
- University of Illinois at Urbana-Champaign
- Medical Research Council (102215, ref: 102215/2/13/2, 102215/2/13/2, MC_PC_15018, MC_PC_19009)
- National Heart, Lung, and Blood Institute (HHSN268201200008I, HHSN268201200008C)
- National Human Genome Research Institute (X01‐HG007485, X01‐HG007821)
- National Institute of Dental and Craniofacial Research (DE-016148, #HHSN268201200008I, R01DE027023, R01DE016148, U01DE020078, U01DE024430, DE027023, X01-HG007821, U01-DE020078, R01-DE016148, and R01-DE027023)
- National Institute of Justice (-R2-CX-, 2008-DN-BX-K125, 2015-R2-CX-0023, 2014-DN-BX-K031, 2018-DU-BX-0219)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Morphological variations and asymmetry
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- human face, facial morphology, genetic architecture, facial variation, cranial neural crest cells, enhancer activity, gene-gene interaction, European populations
- MeSH terms
- Acetylation, Enhancer Elements, Genetic, Epistasis, Genetic, Extremities, Face, United Kingdom, Histones, Humans, Lysine, Neural Crest, Phenotype, Skull, United States, Meta-Analysis as Topic, Multivariate Analysis, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review