Abstract

Non-syndromic cleft lip with/without cleft palate (nsCL/P) is a frequent congenital malformation with multifactorial etiology. While recent genome-wide association studies (GWAS) have identified several nsCL/P risk loci, the functional effects of the associated non-coding variants are largely unknown. Furthermore, additional risk loci remain undetected due to lack of power. As genetic variants might alter binding of transcription factors (TF), we here hypothesized that the integration of data from TF binding sites, expression analyses and nsCL/P GWAS might help to (i) identify functionally relevant variants at GWAS loci, and (ii) highlight novel risk variants that have been previously undetected. Analysing the craniofacial TF TFAP2A in human embryonic palatal mesenchyme (HEPM) cells, we identified 2845 TFAP2A ChIP-seq peaks, several of which were located near nsCL/P candidate genes (e.g. MSX1 and SPRY2). Comparison with independent data suggest that 802 of them might be specific to craniofacial development, and genes near these peaks are enriched in processes relevant to nsCL/P. Integration with nsCL/P GWAS data, however, did not show robust evidence for co-localization of common nsCL/P risk variants with TFAP2A ChIP-seq peaks. This data set represents a new resource for the analyses of craniofacial processes, and similar approaches with additional cell lines and TFs could be applied to generate further insights into nsCL/P etiology.

Details

Title
Allele-specific transcription factor binding in a cellular model of orofacial clefting
Author
Ruff Katharina L M 1 ; Hollstein Ronja 1 ; Fazaal Julia 1 ; Thieme, Frederic 1 ; Gehlen, Jan 2 ; Mangold, Elisabeth 1 ; Knapp, Michael 3 ; Welzenbach Julia 1 ; Ludwig, Kerstin U 1 

 University of Bonn, School of Medicine and University Hospital Bonn, Institute of Human Genetics, Bonn, Germany (GRID:grid.10388.32) (ISNI:0000 0001 2240 3300) 
 University of Marburg, Centre for Human Genetics, Marburg, Germany (GRID:grid.10253.35) (ISNI:0000 0004 1936 9756) 
 University of Bonn, Institute for Medical Biometry, Informatics and Epidemiology IMBIE, Bonn, Germany (GRID:grid.10388.32) (ISNI:0000 0001 2240 3300) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2624808580
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.