Variants in CALD1, ESRP1, and RBFOX1 are associated with orofacial cleft risk

Nonsyndromic orofacial clefts (OFCs) are common, heritable birth defects caused by both genetic and environmental risk factors. Despite the identification of many genetic loci harboring OFC-risk variants, there are many unknown genetic determinants of OFC. Furthermore, while the process of embryonic facial development is well characterized, the molecular mechanisms that underly it are not. This represents a major hurdle in understanding how disruptions in these biological processes result in OFC. Thus, we sought to identify novel OFC-risk loci through a genome-wide multi-ancestry study of five nested OFC phenotypes (isolated cleft lip [CLO], isolated cleft palate [CPO], cleft lip and palate [CLP], cleft lip with/without cleft palate [CL/P], and any cleft [ANY]) representing distinct cleft subtypes to identify subtype-specific signals and grouped types to maximize power to detect shared genetic effects. We performed genome-wide meta-analyses of these five OFC phenotypes from three cohorts totaling >14,000 individuals using METAL. In addition to replicating 13 known OFC-risk loci, we observed novel association in three regions: the 1p36.32 locus (lead variant rs584402, an intergenic variant, pCLO = 3.14e-8), the 7q33 locus (lead variant rs17168118, an intronic variant in CALD1, pCLP = 9.17e-9), and the 16p13.3 locus (lead variant rs77075754, an intronic variant in RBFOX1, pCL/P = 1.53e-9, pANY = 1.93e-9). We also observed a novel association within the known risk locus 8q22.1 that was independent of the previously reported signal (lead variant rs4735314, an intronic variant in ESRP1, pCLP = 1.07e-9, pCL/P = 3.88e-8). Next, we performed multi-tissue TWAS with s-MulTiXcan and identified four overlapping genes with significant genetically predicted transcription associated with OFC risk. These genes also overlapped the genome-wide significant association signals from the meta-analysis, including CALD1 and ESRP1 and known OFC-risk genes TANC2 and NTN1. Each of the newly reported loci has potential regulatory effects, including evidence of craniofacial enhancer activity, that offer new clues as to the molecule mechanisms underlying embryonic facial development.

Authors

Institutions

Publication Details

Journal
PLoS Genetics
Published
2025-09-30
DOI
https://doi.org/10.1371/journal.pgen.1011581
Citations
1
Primary Topic
Cleft Lip and Palate Research
Type
article
Field-Weighted Citation Impact
1.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Variants in CALD1, ESRP1, and RBFOX1 are associated with orofacial cleft risk

Iêda M. Orioli, Carmencita David Padilla, Jenna C. Carlson, Carmen J. Buxó et al.
1 citations
PLoS Genetics
Cleft Lip and Palate Research
1.82
article

Variants in CALD1, ESRP1, and RBFOX1 are associated with orofacial cleft risk

Iêda M. Orioli, Carmencita David Padilla, Jenna C. Carlson, Carmen J. Buxó, Jacqueline T. Hecht, Zeynep Erdogan-Yildirim, John R. Shaffer, Jeffrey C. Murray, George L. Wehby, Azeez Butali, Seth M. Weinberg, Eleanor Feingold, Mary L. Marazita, Lord Jephthah Joojo Gowans, Elizabeth J. Leslie, Ross E. Long, Xinyi Zhang, Lina Moreno, Terri H. Beaty
article en
1 citations

Abstract

Nonsyndromic orofacial clefts (OFCs) are common, heritable birth defects caused by both genetic and environmental risk factors. Despite the identification of many genetic loci harboring OFC-risk variants, there are many unknown genetic determinants of OFC. Furthermore, while the process of embryonic facial development is well characterized, the molecular mechanisms that underly it are not. This represents a major hurdle in understanding how disruptions in these biological processes result in OFC. Thus, we sought to identify novel OFC-risk loci through a genome-wide multi-ancestry study of five nested OFC phenotypes (isolated cleft lip [CLO], isolated cleft palate [CPO], cleft lip and palate [CLP], cleft lip with/without cleft palate [CL/P], and any cleft [ANY]) representing distinct cleft subtypes to identify subtype-specific signals and grouped types to maximize power to detect shared genetic effects. We performed genome-wide meta-analyses of these five OFC phenotypes from three cohorts totaling >14,000 individuals using METAL. In addition to replicating 13 known OFC-risk loci, we observed novel association in three regions: the 1p36.32 locus (lead variant rs584402, an intergenic variant, pCLO = 3.14e-8), the 7q33 locus (lead variant rs17168118, an intronic variant in CALD1, pCLP = 9.17e-9), and the 16p13.3 locus (lead variant rs77075754, an intronic variant in RBFOX1, pCL/P = 1.53e-9, pANY = 1.93e-9). We also observed a novel association within the known risk locus 8q22.1 that was independent of the previously reported signal (lead variant rs4735314, an intronic variant in ESRP1, pCLP = 1.07e-9, pCL/P = 3.88e-8). Next, we performed multi-tissue TWAS with s-MulTiXcan and identified four overlapping genes with significant genetically predicted transcription associated with OFC risk. These genes also overlapped the genome-wide significant association signals from the meta-analysis, including CALD1 and ESRP1 and known OFC-risk genes TANC2 and NTN1. Each of the newly reported loci has potential regulatory effects, including evidence of craniofacial enhancer activity, that offer new clues as to the molecule mechanisms underlying embryonic facial development.

PLoS GeneticsVol. 21(9)
University of the Philippines System (PH), Universidade Federal do Rio de Janeiro (BR), University of Iowa (US), Clinic for Special Children (US), Oregon State University (US), Johns Hopkins University (US), Emory University (US), University of Pittsburgh (US), University of Puerto Rico System (PR), Kwame Nkrumah University of Science and Technology (GH), Department of Health (TW), National Institute on Population Medical Genetics (BR), Iowa Department of Public Health (US), The University of Texas Health Science Center (US), University of the Philippines Manila (PH)
Openalex Percentile: Top 12%
Cleft Lip and Palate Research
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.