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
Human-specific genetics: new tools to explore the molecular and cellular basis of human evolution
Pollen, A. A., Kilik, U., Lowe, C. B., & Camp, J. G. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-022-00568-4 · Cited by 165
Recent advances in Forensic DNA Phenotyping of appearance, ancestry and age
Kayser, M., Branicki, W., Parson, W., & Phillips, C. (2023) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2023.102870 · Cited by 148
Precise modulation of transcription factor levels identifies features underlying dosage sensitivity
Naqvi, S., Kim, S., Hoskens, H., Matthews, H. S., Spritz, R. A., Klein, O. D., Hallgrímsson, B., Swigut, T., Claes, P., Pritchard, J. K., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01366-2 · Cited by 132
Self-citationShared heritability of human face and brain shape
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. (2021) · Nature Genetics · doi:10.1038/s41588-021-00827-w · Cited by 100
Self-citationDNA-guided transcription factor cooperativity shapes face and limb mesenchyme
Kim, S., Morgunova, E. Y., Naqvi, S., Goovaerts, S., Bader, M., Koska, M., Popov, A. N., Luong, C., Pogson, A. N., Swigut, T., et al. (2024) · Cell · doi:10.1016/j.cell.2023.12.032 · Cited by 83
Self-citation
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