Meta-analysis reveals transcription factors and DNA binding domain variants associated with congenital heart defect and orofacial clef

Abstract

Many structural birth defect patients lack genetic diagnoses because there are many disease genes as yet to be discovered. We applied a gene burden test incorporating de novo predicted-loss-of-function (pLoF) and likely damaging missense variants together with inherited pLoF variants to a collection of congenital heart defect (CHD) and orofacial cleft (OC) parent-offspring trio cohorts (n = 3,835 and 1,844, respectively). We identified 17 novel candidate CHD genes and 10 novel candidate OC genes, of which many were known developmental disorder genes. Shorter genes were more powered in a "de novo only" analysis as compared to analysis including inherited pLoF variants. TFs were enriched among the significant genes; 14 and 8 transcription factor (TF) genes showed significant variant burden for CHD and OC, respectively. In total, 30 affected children had a de novo missense variant in a DNA binding domain of a known CHD, OC, and other developmental disorder TF genes. Our results suggest candidate pathogenic variants in CHD and OC and their potentially pleiotropic effects in other developmental disorders.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

This work was funded by NIH grants R03 HD099358 and R01 HG010501 to M.L.B.

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

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The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

For CHD, we downloaded de novo variant data from two exome-sequencing studies (Jin et al., Nat. Genet., 2017, 49:1593; Sifrim et al., Nat. Genet., 2016, 48:1060) and one genome-sequencing study (Richter et al., Nat. Genet., 2020, 52:769). We also downloaded the list of rare inherited pLoF variants from Jin et al. For OC, we downloaded genotype data from 4 cohorts from the Gabriella Miller Kids First data portal. Their database of Genotypes and Phenotypes (dbGaP) IDs were phs001168, phs001997, phs001420, and phs002595.

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Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

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I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.

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Data Availability

All data produced in the present work are contained in the manuscript. Code and data for generating the figures is available at https://github.com/BulykLab/CHD-OC-manuscript-figures.

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