Abstract

BackgroundParental consanguinity is a risk factor for congenital heart disease (CHD) worldwide, suggesting that a recessive inheritance model may contribute substantially to CHD. In Bangalore, India, uncle-niece and first cousin marriages are common, presenting the opportunity for an international study involving consanguinity mapping of structural CHD. We sought to explore the recessive model of CHD by conducting a genome-wide linkage analysis utilizing high-density oligonucleotide microarrays and enrolling 83 CHD probands born to unaffected consanguineous parents.Methodology/Principal FindingsIn this linkage scan involving single nucleotide polymorphism (SNP) markers, the threshold for genome-wide statistical significance was set at the standard log-of-odds (LOD) score threshold of 3.3, corresponding to 1995∶1 odds in favor of linkage. We identified a maximal single-point LOD score of 3.76 (5754∶1 odds) implicating linkage of CHD with the major allele (G) of rs1055061 on chromosome 14 in the HOMEZ gene, a ubiquitously expressed transcription factor containing leucine zipper as well as zinc finger motifs. Re-sequencing of HOMEZ exons did not reveal causative mutations in Indian probands. In addition, genotyping of the linked allele (G) in 325 U.S. CHD cases revealed neither genotypic nor allele frequency differences in varied CHD cases compared to 605 non-CHD controls.Conclusions/SignificanceDespite the statistical power of the consanguinity mapping approach, no single gene of major effect could be convincingly identified in a clinically heterogeneous sample of Indian CHD cases born to consanguineous parents. However, we are unable to exclude the possibility that noncoding regions of HOMEZ may harbor recessive mutations leading to CHD in the Indian population. Further research involving large multinational cohorts of patients with specific subtypes of CHD is needed to attempt replication of the observed linkage peak on chromosome 14. In addition, we anticipate that a targeted re-sequencing approach may complement linkage analysis in future studies of recessive mutation detection in CHD.

Highlights

  • Congenital heart disease (CHD) affects approximately one percent of newborn infants [1,2], and accounts for one third of deaths due to congenital malformations [3]

  • Twopoint linkage analysis resulted in two single nucleotide polymorphism (SNP) with LOD scores above the standard threshold of 3.3 (Figure 1), indicating at least 1995:1 odds in favor of linkage [21]

  • We have presented statistically significant linkage evidence for a potential congenital heart disease (CHD) susceptibility locus on chromosome 14 in a South Indian population selected for consanguinity

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Summary

Introduction

Congenital heart disease (CHD) affects approximately one percent of newborn infants [1,2], and accounts for one third of deaths due to congenital malformations [3]. Parental consanguinity confers a two to three fold increase in risk for a broad range of CHD phenotypes, as reported in Saudi Arabia [4,5], Lebanon [6], and South India [7,8]. This implies that recessive inheritance contributes to CHD occurrence. Parental consanguinity is a risk factor for congenital heart disease (CHD) worldwide, suggesting that a recessive inheritance model may contribute substantially to CHD. We sought to explore the recessive model of CHD by conducting a genome-wide linkage analysis utilizing high-density oligonucleotide microarrays and enrolling 83 CHD probands born to unaffected consanguineous parents

Methods
Results
Conclusion

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