Abstract
- Top of page
- Abstract
- Introduction
- Materials and Methods
- Statistical Analysis
- Results
- Discussion
- Acknowledgement
- References
Aim: The aim of these investigations was to study three candidate genes for pre-eclampsia – epidermal growth factor (EGF), transforming growth factor alpha, and angiotensinogen – in pregnant Sinhalese women from Sri Lanka, the first such study undertaken in this ethnic group. Reproducibility of results of genetic association studies of candidate genes for pre-eclampsia has not been consistent across populations. One of the factors that may contribute to such inconsistencies is genetic stratification due to population admixture. We therefore compared the allele frequencies of these candidate genes in healthy Sri Lankan subjects from three ethnic groups – Sinhalese, Sri Lankan Tamils and Moors – and in white Western Europeans.
Methods: Allele frequencies were established in 80 subjects from each of four populations (Sinhalese, Sri Lankan Tamils, and Moors in Sri Lanka and white Western Europeans in the UK). A further 175 Sinhalese women with pre-eclampsia and 171 normotensive Sinhalese controls were genotyped at eight single nucleotide polymorphisms in the candidate genes.
Results and Discussion: In all genes haplotype and allele frequencies were comparable within the three Sri Lankan populations, but differed significantly from those in the white Western European population. Consequently cryptic population stratification is unlikely to have significant effects on allele or haplotype frequencies of the genes examined in this case–control study of Sinhalese women which showed a marginal association for EGF haplotypes and genotypes with pre-eclampsia (P = 0.031). This association requires replication in other populations.
Introduction
- Top of page
- Abstract
- Introduction
- Materials and Methods
- Statistical Analysis
- Results
- Discussion
- Acknowledgement
- References
Pre-eclampsia is a life-threatening disorder of pregnancy recognized clinically by the onset of hypertension and proteinuria.1 It is estimated that annually 40 000 mothers and 900 000 babies lose their lives as a result of the hypertensive disorders of pregnancy, and the bulk of this burden is borne by the developing world.2 Pre-eclampsia is 3- to 5-fold more common in first degree relatives of affected women than in the general population.3 Twin studies report pairwise concordance rates of 0.25 and 0.06 for pre-eclampsia among monozygotic and dizygotic twin pairs respectively and estimates heritability (influence of maternal genes) and the non-shared environmental effect (including influence of fetal/paternal genes) at 0.54 and 0.46, respectively.4 A growing number of candidate genes have been tested in Western populations,5 but there are relatively few from developing countries, and none from Sri Lanka, where the incidence of pre-eclampsia is high [5% of pregnancies in one hospital-based survey6]. We undertook a case–control genetic marker disease association study of candidate genes in Sinhalese women in Colombo, Sri Lanka.
Pre-eclampsia is characterized by impaired invasion of trophoblast into maternal tissues at the site of placentation,7 a process which is regulated by growth factors, cell adhesion molecules, cytokines and proteinases.8 Genes encoding growth factors at the maternal-fetal interface are therefore candidates for pre-eclampsia. Three such genes, epidermal growth factor (EGF), transforming growth factor α (TGFA) and angiotensinogen (AGT) were selected for this investigation.
EGF and TGFA are novel candidates which have not been tested in other populations. They have been identified at the maternal-fetal interface, and both are ligands for epidermal growth factor receptors, which are expressed by the trophoblast.9 Furthermore, EGF maps to chromosome 4q25–27,10 approximately 57cM away from the markers bordering the suggestive locus for pre-eclampsia detected in a genome-wide scan of Finnish families;11 and TGFA maps to chromosome 2p1312 within the boundary of the most likely location for a pre-eclampsia susceptibility gene identified in genome-wide scans of Icelandic and Australasian families.13,14 Two single nucleotide polymorphisms (SNP) that have possible functional effects have been described in the EGF gene. These are NM_001963:c.61G>A, which has been shown to have an effect on the production of EGF in peripheral blood mononuclear cells (PBMC)15 and NM_001963:c.2566G>A that occurs in exon 14 of the gene and results in an amino acid substitution in the low density lipoprotein receptor homology domain of EGF.16 There is also a cluster of SNP at nucleotides 3822, 3827, and 3851 in the 3′UTR of the TGFA gene (AF123243:g.599G>A; AF123243:g.604T>C; AF123243:g.628T>C respectively). These three SNP define four haplotypes. They have been found to be associated with the development of disorders involving tissue remodeling.17,18 Polymorphisms in 3′UTR conserved regions of genes can play a role in messenger ribonucleic acid stability or tissue-specific targeting.19
AGT encodes angiotensinogen, the precursor of angiotensin II, which is a potent vasoconstrictor, a major determinant of salt and water homeostasis and a growth factor. AGT is mainly synthesized in the liver, but it is expressed in a wide range of tissues, including the placenta. AGT has been implicated in previous studies of pre-eclampsia and essential hypertension20,21 and angiotensin II AT1 receptor expression is increased fivefold in pregnancies complicated by pre-eclampsia.22 Three single nucleotide polymorphisms, AY436323:g.6679C>T and AY436323:g.6862T>C in exon 2, and AY436323:g.14321C>A in the 3′ UTR, define four common haplotypes in AGT which are associated with differential effects on plasma angiotensinogen levels and blood pressure.23, 24
Case–control genetic marker disease association studies in complex disorders such as pre-eclampsia have generated many positive results which have not been consistently replicated in subsequent studies.5 Possible explanations for the lack of consistency include phenotypic variation between studies, population stratification, lack of power of many small scale studies in the face of expected modest genetic effects, and differences in genetic background of different populations studied. We addressed the problem of phenotypic variation by rigorous application of an international consensus definition of pre-eclampsia1 at the time of recruitment of the case and control groups, and by restricting recruitment to nulliparous women. To assess the effects of unsuspected population stratification we undertook a comparison of allele/haplotype frequencies in healthy subjects from the three predominant ethnic groups in Sri Lanka: Sinhalese, Sri Lankan Tamils and Moors; and white Western Europeans in Nottingham, UK.
The objectives of these investigations therefore, were (i) to establish allele and haplotype distributions of polymorphisms in three candidate genes for pre-eclampsia – EGF, TGFA and AGT – and measures of linkage disequilibrium, in three major ethnic groups in Sri Lanka, and to compare that with white Western Europeans in the UK; and (ii) to conduct a case–control genetic marker disease association study of the three candidate genes in nulliparous Sinhalese women with and without pre-eclampsia.
Results
- Top of page
- Abstract
- Introduction
- Materials and Methods
- Statistical Analysis
- Results
- Discussion
- Acknowledgement
- References
The results of the population genetic study are shown in Tables 2 and 3 giving haplotype frequency estimates of the EGF, TGFA, and AGT genes and measures of linkage disequilibrium, respectively. All polymorphisms in each population were in HWE. The haplotype frequencies of the three Sri Lankan ethnic groups were similar; the single exception was a significant difference in TGFA haplotype frequencies between Sinhalese and Moors (P = 0.007). By contrast haplotype frequencies in all genes differed significantly between white Western Europeans and some or all Sri Lankan ethnic groups.
Table 2. Haplotypes defined by single nucleotide polymorphisms (SNP) in the candidate genes and variant allele frequencies of SNP in the population | Genes | Haplotypes/variant alleles | Haplotype/variant allele frequency | Significance (P) |
|---|
| Sinhalese (S) | Tamils (T) | Moors (M) | Whites (W) | S v T | S v M | T v M | S v W | T v W | M v W |
|---|
|
| EGF | c.61 | c.2566 | | | | | | | | | | | |
| G | G | | 0.06 | 0.06 | 0.07 | 0.12 | * | * | * | 0.012 | * | * |
| G | A | | 0.53 | 0.47 | 0.44 | 0.37 |
| A | G | | 0.36 | 0.42 | 0.45 | 0.48 |
| A | A | | 0.05 | 0.04 | 0.05 | 0.03 |
| c.61A | 0.41 | 0.46 | 0.50 | 0.51 |
| c.2566A | 0.58 | 0.51 | 0.48 | 0.40 |
| TGFA | g.599 | g.604 | g.628 | | | | | | | | | | |
| G | T | T | 0.20 | 0.24 | 0.23 | 0.21 | * | 0.007 | * | * | 0.002 | <0.001 |
| G | C | T | 0.56 | 0.48 | 0.51 | 0.62 |
| G | C | C | 0.10 | 0.08 | 0.02 | 0.11 |
| A | C | T | 0.14 | 0.20 | 0.23 | 0.06 |
| g.599A | 0.14 | 0.20 | 0.23 | 0.06 |
| g.604T | 0.20 | 0.24 | 0.23 | 0.21 |
| g.628C | 0.10 | 0.08 | 0.02 | 0.11 |
| AGT | g.6679 | g.6862 | g.14321 | | | | | | | | | | |
| C | T | A | 0.31 | 0.25 | 0.24 | 0.29 | * | * | * | <0.001 | <0.001 | <0.001 |
| C | T | C | 0.06 | 0.11 | 0.13 | 0.34 |
| C | C | A | 0.02 | 0.01 | 0.01 | 0.04 |
| C | C | C | 0.53 | 0.51 | 0.50 | 0.22 |
| T | C | C | 0.08 | 0.11 | 0.11 | 0.09 |
| g.6679T | 0.09 | 0.11 | 0.11 | 0.11 |
| g.6862C | 0.64 | 0.63 | 0.63 | 0.37 |
| g.14321A | 0.33 | 0.27 | 0.25 | 0.34 |
Table 3. Linkage disequilibrium analysis | Gene | Loci combination | Sinhalese | Tamils | Moors | Whites |
|---|
| D′ | r2 | D′ | r2 | D′ | r2 | D′ | r2 |
|---|
|
| EGF | c.61G>A | c.2566G>A | 0.78 | 0.59 | 0.83 | 0.63 | 0.78 | 0.58 | 0.86 | 0.52 |
| TGFA | g.599G>A | g.604T>C | 1.00 | 0.04 | 1.00 | 0.08 | 1.00 | 0.09 | 1.00 | 0.02 |
| g.599G>A | g.628T>C | 0.38 | 0.002 | 0.12 | <0.01 | 0.05 | <0.01 | 0.004 | <0.01 |
| g.604T>C | g.628T>C | 1.00 | 0.03 | 1.00 | 0.03 | 1.00 | 0.008 | 1.00 | 0.03 |
| AGT | g.6679C>T | g.6862C>T | 1.00 | 0.05 | 1.00 | 0.07 | 1.00 | 0.08 | 1.00 | 0.21 |
| g.6679C>T | g.14321C>A | 1.00 | 0.05 | 1.00 | 0.05 | 1.00 | 0.04 | 0.58 | 0.02 |
| g.6862C>T | g.14321C>A | 0.90 | 0.69 | 0.92 | 0.53 | 0.91 | 0.47 | 0.60 | 0.11 |
The results of haplotype analysis and single locus genotype analysis in Sinhalese women with pre-eclampsia and normotensive controls are shown in Tables 4 and 5, respectively. All polymorphisms in cases and controls were in HWE. Of the three genes tested, only EGF haplotypes demonstrated any evidence of association with pre-eclampsia, and this was of marginal significance (P = 0.031). This effect was mainly due to an excess of the NM_001963:c.2566G allele and the NM_001963:c.61G; c.2566G haplotype in women with pre-eclampsia.
Table 4. Haplotype analysis of case–control data | Genes | Haplotypes | Haplotype Frequency |
|---|
| PE (n = 175) | Controls (n = 171) | P |
|---|
|
| EGF | c.61 | c.2566 | | | | |
| G | G | | 0.12 | 0.06 | 0.031 |
| G | A | | 0.42 | 0.39 | |
| A | G | | 0.43 | 0.49 | |
| A | A | | 0.04 | 0.06 | |
| TGFA | g.599 | g.604 | g.628 | | | |
| G | T | T | 0.18 | 0.20 | 0.716 |
| G | C | T | 0.59 | 0.58 | |
| G | C | C | 0.07 | 0.06 | |
| A | C | T | 0.16 | 0.16 | |
| AGT | g.6679 | g.6862 | g.14321 | | | |
| C | T | A | 0.31 | 0.29 | 0.673 |
| C | T | C | 0.09 | 0.09 | |
| C | C | C | 0.50 | 0.48 | |
| T | C | C | 0.09 | 0.12 | |
Table 5. Results of analysis of genotypes of the cases and controls (variant allele frequency of each single nucleotide polymorphism is also given in the table) 
Discussion
- Top of page
- Abstract
- Introduction
- Materials and Methods
- Statistical Analysis
- Results
- Discussion
- Acknowledgement
- References
In these investigations we set out to conduct studies of susceptibility genes for pre-eclampsia using SNP and the haplotypes defined by these SNP as genetic markers. We examined the haplotype distribution in four racial groups to study how the background genetic make-up of the population could affect such studies. These results show that the three Sri Lankan populations are homogeneous with regard to the majority of SNP used in these investigations; but differed significantly from those in the white Western European population. Consequently cryptic population stratification is unlikely to have significant effects on allele or haplotype frequencies of the genes examined in the case–control study of Sinhalese women. However, the significant differences in allele frequencies of the Sri Lankan populations compared to white western Europeans, especially with regard to the EGF gene polymorphisms as confirmed by allele frequencies for white western Europeans reported in previous studies,15,16 have implications if an attempt is made to replicate these findings in that population.
Another factor that could have influenced our case–control study results is sample size and power. The sample size of this case–control study had 80% power to detect a genotype relative risk of between 1.8 and 2.7, depending on allele frequencies, at a significance level of 0.05. It would be underpowered to detect lower risks associated with these candidate alleles, especially if a lower threshold of significance was applied to correct for multiple hypothesis testing. It is interesting to note in this context the negative finding of the GOPEC consortium with respect to the association of AGT gene polymorphisms with pre-eclampsia in a collection 657 white Western European child–parent trios that had adequate size and power to detect such an association.31
In this study an association of marginal significance was found for the association of the EGF gene NM_001963:c.2566G allele and NM_001963:c.61G; 2566G haplotype with pre-eclampsia in Sinhalese women. The high D′ yet small r2 values between these two SNP suggest that the significant association of c.2566G might also be accounted for by c.61G as supported by results of haplotype analysis. The marginal differences in allele frequencies however, did not justify further refinement of the analysis. Since multiple hypotheses were tested, this association would not have been significant if a more stringent cut-off for significance correcting for such multiple testing was applied. Interestingly, however, we recently reported the association of the maternal EGF c.2566G allele with a higher weight at birth than the c.2566A allele in women delivering healthy babies after uncomplicated pregnancies in three populations, including the control population described in this paper.28 In addition, in pregnancies in white Western European women affected by fetal growth restriction the c.2566A allele was shown to be preferentially transmitted to the affected babies by their parents. These observations suggest that the c.2566A allele is associated with low birthweight in both healthy and growth-restricted pregnancies. The association of the c.2566G allele with pre-eclampsia, a disorder with a well-established association with fetal growth restriction, is therefore a counterintuitive finding. It would be interesting to investigate EGF allele transmission in babies affected by pre-eclampsia in a suitable sample collection to develop a more comprehensive understanding of the interaction at the maternal–fetal interface at the time of placentation. Studies of the effect of these polymorphisms on EGF expression in trophoblasts would further add to our understanding of this interaction.
In this study, we sought to minimize phenotypic heterogeneity by the application of rigorous inclusion and exclusion criteria. Nevertheless, there is some evidence that severe, early onset disease presenting before 34 weeks gestation represents a more homogeneous subgroup. Only 77 of the women in our study had early onset disease, too few to justify subgroup analysis. Targeted recruitment of a larger number of these severe cases for genetic analysis, or metanalysis of this subgroup from a number of large studies, however, may prove to be an informative approach.
In conclusion, the association of marginal significance of pre-eclampsia with EGF haplotype detected in Sinhalese women requires verification in further independent studies using a sufficiently powered sample collection. The EGF allele and haplotype frequency data reported here would be useful in planning such a study.