DNA binding analysis of rare variants in homeodomains reveals homeodomain specificity-determining residues
Open accessPublished version of a preprint
Abstract
Homeodomains (HDs) are the second largest class of DNA binding domains (DBDs) among eukaryotic sequence-specific transcription factors (TFs) and are the TF structural class with the largest number of disease-associated mutations in the Human Gene Mutation Database (HGMD). Despite numerous structural studies and large-scale analyses of HD DNA binding specificity, HD-DNA recognition is still not fully understood. Here, we analyze 92 human HD mutants, including disease-associated variants and variants of uncertain significance (VUS), for their effects on DNA binding activity. Many of the variants alter DNA binding affinity and/or specificity. Detailed biochemical analysis and structural modeling identifies 14 previously unknown specificity-determining positions, 5 of which do not contact DNA. The same missense substitution at analogous positions within different HDs often exhibits different effects on DNA binding activity. Variant effect prediction tools perform moderately well in distinguishing variants with altered DNA binding affinity, but poorly in identifying those with altered binding specificity. Our results highlight the need for biochemical assays of TF coding variants and prioritize dozens of variants for further investigations into their pathogenicity and the development of clinical diagnostics and precision therapies.
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
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 4,408 · cited 3× · see citing works
“Multiple tools achieved moderately good accuracy in distinguishing variants with altered DNA binding af fi nity, among which MutationAssessor 39 , MetaLR 40 , ClinPred 41 , and SIFT 42 were the top performers (area under receiver operating characteristic curve (AUROC)= 0.86, 0.81, 0.80, and 0.79, respectively), while s…”
InfluentialClinVar: improving access to variant interpretations and supporting evidence
Landrum, M. J., Lee, J. M., Benson, M., Brown, G. R., Chao, C., Chitipiralla, S., Gu, B., Hart, J., Hoffman, D., Jang, W., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1153 · Cited by 4,196 · see citing works
Fagerberg, L., Hallström, B. M., Oksvold, P., Kampf, C., Djureinovic, D., Odeberg, J., Habuka, M., Tahmasebpoor, S., Danielsson, A., Edlund, K., et al. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.035600 · Cited by 3,665 · see citing works
Random-effects model for meta-analysis of clinical trials: An update
DerSimonian, R., & Kacker, R. (2007) · Contemporary Clinical Trials · doi:10.1016/j.cct.2006.04.004 · Cited by 2,374 · cited 1× · see citing works
“Finally, 8-mer-level af fi nity scores were calculated using the two-step DerSimonian and Laird estimator across all probes containing the respective 8-mer sequences 87 .”
Disease variant prediction with deep generative models of evolutionary data
Frazer, J., Notin, P., Dias, M., Gomez, A., Min, J. K., Brock, K., Gal, Y., & Marks, D. S. (2021) · Nature · doi:10.1038/s41586-021-04043-8 · Cited by 791 · see citing works
Chen, M.-H., Raffield, L. M., Mousas, A., Sakaue, S., Huffman, J. E., Moscati, A., Trivedi, B., Jiang, T., Akbari, P., Vuckovic, D., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.045 · Cited by 661 · see citing works
Low Affinity Binding Site Clusters Confer Hox Specificity and Regulatory Robustness
Crocker, J., Abe, N., Rinaldi, L., McGregor, A. P., Frankel, N., Wang, S., Alsawadi, A., Valenti, P., Plaza, S., Payre, F., et al. (2015) · Cell · doi:10.1016/j.cell.2014.11.041 · Cited by 363 · see citing works
Functional haploinsufficiency of the human homeobox gene MSX2 causes defects in skull ossification
Wilkie, A. O. M., Tang, Z., Elanko, N., Walsh, S., Twigg, S. R. F., Hurst, J. A., Wall, S. A., Chrzanowska, K. H., & Maxson, R. E. (2000) · Nature Genetics · doi:10.1038/74224 · Cited by 315 · see citing works
Flagged first, then by citations
- Authors
- Kock, K. H., Kimes, P. K., Gisselbrecht, S. S., Inukai, S., Phanor, S. K., Anderson, J. T., Ramakrishnan, G., Lipper, C. H., Song, D., Kurland, J. V., Rogers, J. M., Jeong, R., Blacklow, S. C., Irizarry, R. A., & Bulyk, M. L.
- Affiliations
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Dana-Farber Cancer Institute (US)
- Corresponding author
- Bulyk, Martha L.
- ORCID
- Venue
- Nature Communications
- Published
- 2024-04-10
- Volume
- 15
- Issue
- 1
- Pages
- 3110-3110
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC11006913
- OpenAlex
- W4394693286
- Cited by
- 24
- References
- 9
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 2
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (R01 HG010501, R35 CA220340)
- U.S. Department of Health & Human Services | National Institutes of Health (5T32HG002295-13)
- A*STAR National Science Scholarship National Science Foundation Graduate Research Fellowship
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- homeodomain, DNA binding specificity, disease-associated variants, variants of uncertain significance, missense mutations, DNA binding affinity, variant effect prediction, precision therapy
- MeSH terms
- DNA, Humans, Models, Molecular, Mutation, Transcription Factors, Homeodomain Proteins
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