Abstract
Hemophilia A is an X-linked recessive bleeding disorder caused by defects in factor VIII gene (F8). Our study examines variations of single nucleotide polymorphism (SNP) in F8 in the Indian population and establishes the utility of a combination of SNP and microsatellite markers for the successful identification of carriers in the affected families.The disease affects 1 in 5,000–10,000 males worldwide. Due to the large size of F8 (186 Kb), direct mutation analysis is not realistic. Therefore, linkage analysis using informative markers is the most practical approach where family members of the suspect, including an affected member, are available. Single nucleotide polymorphisms (SNPs) are the preferred markers because of their dense coverage of the genome and relatively easy assay format including commonly used restriction fragment length polymorphism (RFLP). SNPs are known to have variable allele frequencies in different populations. Ideally, informative markers should be highly heterozygous in the test population and the set of markers selected for use should not be in linkage disequilibrium (LD) for maximum efficiency of the linkage-based diagnostic test for carrier detection. We recently reported a remarkable variation in the informativeness of RFLP markers linked to hemophilia B locus in several Indian population groups.1 In this context, we examined several published studies from across different regions of India which have shown variable levels of heterozygosity and informativeness of the F8 markers.2–4 However, all of them had been conducted on a regional basis and on a relatively small number of samples. Until now, no exhaustive study has been carried out to verify the variability of informativeness of markers in F8 across different population groups in India. To assess the heterozygosity of the SNPs and to evaluate the linkage status among them in the Indian population, 1,486 unrelated individuals recruited as part of the Indian Genome Variation project5 were included in the present study. These individuals belonged to 54 distinct ethnic groups living in 6 different geographic regions (north, northeast, east, south, west and central) of mainland India. They also included the four major linguistic families of the Indian population i.e. Indo-European (IE), Tibeto-Burman (TB), Austro-Asiatic (AA) and Dravidian (DR). The internal review committee on research using human subjects reviewed and approved the project according to the regulations of the Indian Council of Medical Research. Four SNPS, rs5987079 (SNP1), rs1936645 (SNP2), rs4898352 (SNP3) and rs4898399 (SNP4), were selected (Figure 1, panel A) spanning the entire F8 with almost equal spacing to reduce the possibility of them being in linkage disequilibrium (LD). Three (rs5987079, rs1936645 and rs4898352) of the four SNPs selected were observed to have high minor allele frequencies (MAF) ranging between 0.34–0.42. These could, therefore, be used as markers to distinguish between a mutant and a normal F8 chromosome in the Indian population. However, high LD values (r>0.5) between the three SNP markers (i.e. SNP #1-3) in all four linguistic groups suggest that any one of these three SNPs is sufficient to be used successfully as a marker for carrier diagnosis (Figure 1, panel B). The fourth SNP (#4; rs4898399), not in LD with other SNPs, showed low MAFs (0.01–0.1) in all the four linguistic groups and could not be used as a marker. Therefore, we selected the most widely used SNP (#3; rs4898352) having an RFLP assay format using Bcl I restriction enzyme.
To increase the number of testable markers in our repertoire, we selected four microsatellite markers6–9 within F8 gene (Figure 1, panel A) and tested for informativeness in a pool of 63 normal females with no bleeding history in their family and recruited from different parts of India. The allele frequency and heterozygosity of the microsatellite markers are shown in Table 1. Finally, by using the Bcl I RFLP and the microsatellite markers we could experimentally determine carrier status in 74% (31/42) of obligate carriers for hemophilia A (Figure 1, panel C) who enrolled at the Hemophilia Federation of India (Kolkata Chapter) and at the Center for Cellular and Molecular Biology, Hyderabad, India. Our studies on the Indian population and the available data on International HAPMAP population groups suggest that microsatellite markers, and not SNPs, should preferably be used for carrier detection of hemophilia A. Among these multi-allelic markers, the intron 9 CT-repeat showing higher heterozygosity should be tested across different population groups for wide application for carrier detection.
Acknowledgments
the authors thank all the donors who participated in the study and Dr. Amal Saha and Mr. Ujjal Roy of the Haemophilia Federation of India, Kolkata Chapter, Kolkata
Footnotes
- ↵+ Current address: the University of New Mexico, Albuquerque, USA;
- ↵§ Current address: Centre for Neuroscience, University of Alberta, Canada.
- Funding: the study was supported from Indian Government Council of Scientific and Industrial Research (CSIR), through a grant (CMM0016). AS is a recipient of Lady Tata Memorial Senior Scholarship.
References
- Mukherjee S, Saha A, Kumar PS, Chandak GR, Majumder PP, Ray K. Remarkable variation in the informativeness of RFLP markers linked to hemophilia B locus in Indian population groups: implication in the strategy for carrier detection. Dis Markers. 2006; 22:327-34. Google Scholar
- Shetty S, Ghosh K, Pathare A, Colah R, Badakare S, Mohanty D. Factor VIII and IX gene polymorphisms and carrier analysis in Indian population. Am J Hematol. 1997; 54:271-5. Google Scholar
- Jayandharan G, Shaji RV, George B, Chandy M, Srivastava A. Informativeness of linkage analysis for genetic diagnosis of haemophilia A in India. Haemophilia. 2004; 10:553-9. Google Scholar
- Ahmed R, Kannan M, Biswas A, Ranjan R, Choudhry VP, Saxena R. Use of Intron 1 and 22 inversions and linkage analysis in carrier detection of hemophilia A in Indians. Clin Chim Acta. 2006; 365:109-12. Google Scholar
- The Indian Genome Variation database (IGVdb): A project overview. Hum Gen. 2005; 118:1-11. Google Scholar
- Tizzano E, Vencesla A, Cornet M, Baena M, Baiget M. Utility of a (GT) dinucleotide repeat in intron 1 of the factor 8 gene for haemophilia A carrier diagnosis. Haemophilia. 2005; 11:142-4. Google Scholar
- Dardik R, Kenet G, Kornbrot N, Rosenberg N, Martinowitz U. Two novel polymorphic microsatellite markers in the FVIII gene useful in haemophilia A diagnosis. Haemophilia. 2002; 8:567-8. Google Scholar
- Lalloz MR, McVey JH, Pattinson JK, Tuddenham EG. Haemophilia A diagnosis by analysis of a hypervariable dinucleotide repeat within the factor VIII gene. Lancet. 1991; 338:207-11. Google Scholar
- Lalloz MR, Schwaab R, McVey JH, Michaelides K, Tuddenham EG. Haemophilia A diagnosis by simultaneous analysis of two variable dinucleotide tandem repeats within the factor VIII gene. Br J Haematol. 1994; 86:804-9. Google Scholar
- Barrett JC, Fry B, Maller J, Daly MJ. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005; 21:263-5. Google Scholar