Biomedical subjects

Selim Sengul

Publications and source records attributed to Selim Sengul.

3 recordsLinked to original sources

PubMed2004

Pyrosequencing-based SNP allele frequency estimation in DNA pools.

Association screening involving numerous genetic markers is facilitated by the analysis of pooled DNA samples rather than individual samples. Several genotyping methods have shown high accuracy and precision of allele frequency estimation in pools. Here, we expand the validation of SNP allele frequency estimation in DNA pools using Pyrosequencing by analyzing 186 pools for three SNPs representing complex sequencing cases. The correlation coefficient between estimated and true allele frequencies ranged between 0.979 and 0.996 and tended to increase with pool size, whereas the difference between estimated and true allele frequencies was 2.37+/-0.11%, in post-PCR pools. The precision was 1.73%. Pool size had no significant effect on accuracy and precision. A comparison between post-PCR and pre-PCR pools showed that for pre-PCR pooling efforts to accurately quantify the genomic DNA samples to be pooled and subsequently amplified are critical. To conclude, Pyrosequencing can be used for allele frequency estimation in DNA pools of SNPs with complex sequencing scenarios with accuracy and precision values in ranges comparable with those of other SNP typing techniques. Considering the ease of use, short run and analysis times, and little instrument maintenance requirements, Pyrosequencing may even be a preferred option.

DNA↗

PubMed2003

Multigenic control of disease severity after virulent Mycobacterium tuberculosis infection in mice.

Following challenge with virulent Mycobacterium tuberculosis, mice of the I/St inbred strain exhibit shorter survival time, more rapid body weight loss, higher mycobacterial loads in organs, and more severe lung histopathology than mice of the A/Sn strain. We previously performed a genome-wide scan for quantitative trait loci (QTLs) that control the severity of M. tuberculosis-triggered disease in [(A/Sn x I/St) F1 x I/St] backcross-1 (BC1) mice and described several QTLs that are significantly or suggestively linked to body weight loss. In the present study we expanded our analysis by including the survival time phenotype and by genotyping 406 (A/Sn x I/St) F2 mice for the previously identified chromosomal regions of interest. The previously identified 12-cM-wide QTL on distal mouse chromosome 3 was designated tbs1 (tuberculosis severity 1); the location of the QTL on proximal chromosome 9 was narrowed to a 9-cM interval, and this QTL was designated tbs2. Allelic variants of the tbs2 locus appeared to be involved in control of both body weight loss and survival time. Also, the data strongly suggested that a QTL located in the vicinity of the H-2 complex on chromosome 17 is involved in control of tuberculosis in mice of both genders, whereas the tbs1 locus seemed to have an effect on postinfection body weight loss in female mice. Interestingly, these loci appeared to interact with each other, which suggests that there might be a basic genetic network for the control of intracellular parasites. Overall, linkage data reported here for F2 mice are in agreement with, and add to, our previous findings concerning the control of M. tuberculosis-triggered disease in the BC1 segregation.

Animals↗

PubMed2002

Large-scale genotyping of single nucleotide polymorphisms by Pyrosequencingtrade mark and validation against the 5'nuclease (Taqman((R))) assay.

Here we present the first large-scale effort at genotyping using a novel sequencing method, Pyrosequencingtrade mark, as a method for genotyping of single nucleotide polymorphisms (SNPs). Pyrosequencingtrade mark genotypes were validated through duplicate analysis of 1,022 genotypes using the PSQ96trade mark instrument for pyrosequencing and TaqMan((R)) for 5'nuclease assays. Identical results were obtained using both methods. In a small pilot study, a pooling strategy using Pyrosequencingtrade mark was successfully tested. We conclude that Pyrosequencingtrade mark is highly efficient and accurate in the analysis of SNPs and represents a promising solution to high-throughput genotyping of large sample populations.

Alleles↗