Population-based gene discovery in the post-genomic era

8q24 risk alleles and prostate cancer in African-Barbadian men

BACKGROUND

African American men (AA) exhibit a disproportionate share of prostate cancer (PRCA) incidence, morbidity, and mortality. Several genetic association studies have implicated select 8q24 loci in PRCA risk in AA. The objective of this investigation is to evaluate the association between previously reported 8q24 risk alleles and PRCA in African-Barbadian (AB) men known to have high rates of PRCA.

METHODS

Ten previously reported candidate tag SNPs were genotyped and/or imputed in the 8q24 region in 532 AB men with PRCA and 513 AB controls from the Prostate Cancer in a Black Population (PCBP) study.

RESULTS

Rs2124036 was significant in AB men, (OR = 2.7, 95% CI (1.3-5.3), P = 0.005, Empirical (max (T), corrected for multiple testing) P = 0.03) for the homozygous C/C genotype. Only a single SNP from this region remained statistically significant in our analysis of our AB population. These results may indicate the presence of a founder effect or due to the chosen SNPs not tagging an ancestral haplotype bearing the 8q24 risk allele(s) in this population or could reflect inadequate power to detect an association. We conducted a meta-analysis including our AB population along with two additional African Caribbean populations from Tobago and Jamaica for SNPs rs16901979 and rs1447295. Meta-analysis results were most significant for rs16901979 A allele (Z score 2.73; P = 0.006) with a summary OR = 1.31 (95% CI: 1.09-1.58).

CONCLUSIONS

Additional studies are needed to provide deeper genotype coverage to further interrogate the 8q24 region to understand its contribution to PRCA in this population.

Investigating the Genetic Determinants of Cardiovascular Disease Using Candidate Genes and Meta-analysis of Association Studies

Coronary artery disease (CAD) has a polygenic basis, and identification of CAD susceptibility genes has the potential to aid the development of new treatments and enhance prediction of disease risk. Thus far, the strategy has firstly been to choose "candidate" genes coding for important "rate-limiting" proteins in the homeostatic systems involved in maintaining cardiovascular health; secondly to identify common variants in these candidate genes; thirdly to carry out genotyping and statistical analysis using genetic association studies; and finally to test the functional effects of the identified variants in vitro and in vivo. However, lack of reproducibility of genetic association studies has led to uncertainty about the nature and number of genes involved. In part this is because many of the studies conducted have not been adequately powered to detect small risk effects, or to permit adequate exploration of gene-gene or gene-environment interactions in a robust manner. Spurious positive and negative associations due to type I and type II statistical errors are likely to co-exist with real associations in the published literature. By utilising all available data to increase statistical power, meta-analysis of genetic association studies is increasingly being used to identify genotypic risk with a greater degree of precision. Though potentially powerful, this approach may be prone to publication bias. Therefore, very large genetic association studies will also be required to identify risk genes for CAD. This review lays out the framework for the candidate gene approach for CAD and illustrates this with published results from a UK prospective study of 3000 middle-aged men.

A_16_C haplotype in the FcepsilonRIbeta gene confers a higher risk for atopic asthma in the Indian population

We conducted a case-control study aimed at identifying polymorphisms and haplotypes in the FcepsilonRIbeta gene associated with asthma and its associated phenotypes such as serum IgE levels. A G/A polymorphism in intron 2, a (CA)n repeat polymorphism in intron 5, and a C/T polymorphism in 3'-UTR, encompassing a length of 8.74 Kb, were genotyped, and haplotypes were generated for unrelated patients and healthy volunteers in two independent cohorts. A significant association was observed at the level of alleles and genotypes studied with asthma independently in the two cohorts (p < 0.05). A change in CC_AA genotype combination to a non-CC_AA genotype was associated with reduced risk for asthma. Interestingly, a three-locus haplotype, A_16_C, was found to be significantly associated with asthma (p = 10(-5) in cohort A and p = 0.004 in cohort B). On the other hand, the haplotype G_18_T was found to be negatively associated with asthma (p = 0.007 in cohort A and p = 0.0004 in cohort B). This is the first study identifying a haplotype A_16_C that predisposes individuals to asthma in the Indian population.

Uteroglobin-related protein 1(UGRP1) gene polymorphisms and atopic asthma in the Indian population

BACKGROUND

The secretory protein, uteroglobin-related protein 1 (UGRP1), is mainly expressed in the lung and trachea and has recently been implicated in asthma. The -112 G to A transition in the promoter was reported to be associated with asthma in the Japanese population. However, this has not been replicated in other studies. The aim of this study was to find the association of UGRP1 gene polymorphisms with atopic asthma in the Indian population using a case-control (NP=165, NC=160) and a family-based (60 trios) design.

METHODS

Polymorphisms in the promoter region and the first exon and first intron of the UGRP1 gene were determined by direct sequencing.

RESULTS

The previously identified G-112A and C222A polymorphisms were found to be in complete linkage disequilibrium (LD) (D'=1) in our population. However, no new polymorphism has been identified in this region. When G-112A polymorphism was analyzed in the cases and controls, no significant difference was observed either at the allele (p=0.68) or at the genotype (p=0.83) levels. Moreover, in our family-based study, we observed no significant deviation of allelic transmission from random proportions (p=0.41). Similarly, when we analyzed our genotypic results for serum total IgE levels, no significant association was observed, in both case-control as well as family-based designs.

CONCLUSIONS

Our results suggest that the G-112A and C222A polymorphisms do not play a significant role in the genetic predisposition of UGRP1 gene in atopic asthma in the Indian population.

Association of the dihydrolipoamide dehydrogenase gene with Alzheimer's disease in an Ashkenazi Jewish population

Abundant biochemical evidence links deficient activity of mitochondrial alpha-ketoglutarate dehydrogenase with neuropathologically confirmed Alzheimer's disease (AD). Reduced alpha-ketoglutarate dehydrogenase activity has also been associated with anti-mortem measures of clinical disability. One of the genes encoding this complex, namely, DLD, lies within a chromosome 7 region that is in linkage disequilibrium with AD. We therefore examined the hypothesis that variation in DLD is associated with AD risk. Denaturing HPLC was used to search for sequence variations in the coding and flanking regions of all exons of DLD, but no abundant variants that alter protein sequence were found. However, four common SNPs were identified and genotyped in a case-control series of 297 Caucasians from New York City, including 229 residents of a Jewish nursing home. Logistic regression analysis was performed for the four-locus DLD genotype, sex, and ApoE4 status to determine the association of these independent variables with AD. Significant associations with AD were observed for ApoE4 (P < 10(-6)) and sex combined with DLD genotype (P = 0.013). The association with the DLD genotypes appears only in the male population in both the Caucasian series (P = 0.0009, n = 83) and the Ashkenazi Jewish subseries (P = 0.017, n = 49). The DLD genotype appears to operate independently of APOE in conferring AD risk.

Association of IL4 gene polymorphisms with asthma in North Indians

BACKGROUND

Asthma is a complex airway disorder, and a number of genetic loci have been found to be associated with asthma. The 5q31-33 region is one of the most important loci linked to asthma and atopic disorders. However, association studies with candidate genes in this region, such as IL4, were inconclusive, as both positive and negative results were obtained in several populations studied. The aim of our case-control study was to determine the association between IL4 and asthma in North Indians.

PATIENTS AND METHODS

Polymorphisms in the promoter and a dinucleotide repeat in the 2nd intron in IL4 were genotyped by sequencing and GeneScan analysis, respectively, in ethnically matched, unrelated patients (n = 171) and controls (n = 128), following the guidelines of the American Thoracic Society.

RESULTS

The proximal promoter region of the IL4 gene was found to be invariant. Previously reported polymorphisms, -590 C/T and +33 C/T, were found to be absent in our population. The chi2 test using only large expected cell counts (more than 5% of the sample size) showed a significant association between allele size and disease status (chi2 = 38.08, d.f. = 6, p < 0.05). In addition, a significant difference was observed for the allele and genotype frequencies (p < 0.0005 and p = 0.0009, respectively) in the patient and the control groups using the Fisher-Freeman-Halton test.

CONCLUSION

Our studies indicate that the promoter of the IL4 gene is invariant in our population. The case-control studies on the CA repeat polymorphism in the 2nd intron of the IL4 gene have shown interesting results and indicate the need for further family-based studies.

Signal transducer and activator of transcription 6 haplotypes and asthma in the Indian population

In this paper, we report for the first time the results of an investigation on the association of signal transducer and activator of transcription 6 (STAT6) with asthma in the Indian population. A novel polymorphic CA-repeat in the proximal promoter region [R1] and a previously identified CA-repeat in the 5'-untranslated region [R3] were genotyped, and haplotypes [R1_R3] were generated using PHASE software. The 16 repeat allele at the R1 locus was positively associated (P = 0.01) with asthma. The 15 and 16 repeat alleles at the R3 locus were positively (P < 10(-4)) and negatively (P < 10(-5)) associated with asthma, respectively. Further, the 17_15 (P = 0.0031) and 16_15 (P = 0.001) haplotypes were found to be positively associated with asthma, whereas 17_14, 24_16, and 23_16 were negatively associated (P < 10(-5)). It appears that the R3 and R1 loci together play a bigger role in asthma than either of them alone, and the R3 locus has a larger effect than the R1 locus. Although alleles at the R1 locus appeared to be associated with total serum immunoglobulin E level, the genotypes showed no association, and the R3 locus showed no effect. As no exonic variants of STAT6 are known as yet, repeat polymorphisms in the regulatory regions and their haplotypes could be important in deciphering the genetic role of STAT6 in asthma and atopy.

A highly significant association between a COMT haplotype and schizophrenia

Several lines of evidence have placed the catechol-O-methyltransferase (COMT) gene in the limelight as a candidate gene for schizophrenia. One of these is its biochemical function in metabolism of catecholamine neurotransmitters; another is the microdeletion, on chromosome 22q11, that includes the COMT gene and causes velocardiofacial syndrome, a syndrome associated with a high rate of psychosis, particularly schizophrenia. The interest in the COMT gene as a candidate risk factor for schizophrenia has led to numerous linkage and association analyses. These, however, have failed to produce any conclusive result. Here we report an efficient approach to gene discovery. The approach consists of (i) a large sample size-to our knowledge, the present study is the largest case-control study performed to date in schizophrenia; (ii) the use of Ashkenazi Jews, a well defined homogeneous population; and (iii) a stepwise procedure in which several single nucleotide polymorphisms (SNPs) are scanned in DNA pools, followed by individual genotyping and haplotype analysis of the relevant SNPs. We found a highly significant association between schizophrenia and a COMT haplotype (P=9.5x10-8). The approach presented can be widely implemented for the genetic dissection of other common diseases.