MOLECULAR ANALYSIS OF THE CAMP- RESPONSE ELEMENT [CRE] ELEMENTS IN THE PROMOTER REGION AND EXON 1 OF THE SURVIVAL OF MOTOR NEURON 2 [SMN2] GENE IN MALAYSIAN SPINAL MUSCULAR ATROPHY PATIENTS; TO ELUCIDATE THEIR ROLE IN CIRCUMSCRIBING THE CLINICAL SEVERITY

Objective: In the Spinal muscular atrophy [SMA] genes [SMN1 and SMN2 genes]; the CRE-II elements at -400 bp in the promoter region of the SMN genes and CRE-I element at +108 bp in the exon 1 of the SMN genes, are reported to have a role in c-AMP induce expression of the SMN genes through its binding affinity to CREB-1. This study was designed to determine the role of CRE sites in the circumscribing the clinical severity of SMA. Methods: Direct sequencing was performed for the PCR products of the promoter regions of the SMA patients with homozygous deletion of SMN1, different copy number of SMN2 and NAIP non deletion. Results: No variation among the CRE-I and CRE-II sites was found in all the clinical types as compare to normal healthy control showing no role of CRE sites in circumscribing the clinical severity of SMA. Conclusion: There was no sequence variation found in the CRE binding sites in the three different clinical types of SMA reflecting no role of CRE binding sites in circumscribing the clinical severity of SMA

Molecular analysis of promoter region of the SMN2 gene in the patients of spinal musculatr atrophy.

Spinal muscular atrophy (SMA) is a neurodegenerative disorder caused by the absence of the full length SMN protein (FL-SMN) as a result of mutation or deletion of SMN1 gene. The isoform to this gene, SMN2 gene, with mutation in 1 base pair, encodes for 10% of FL-SMN protein and is reported to decrease the severity of the disease when there is an increase gene dosage. There are 3 clinical types of SMA; type I, type II and type III. Type I SMA is the most severe type and only a small amount of FL-SMN protein is present in these individuals. We postulated that the difference in the promoter region of SMN2 gene produces the different level of FL-SMN protein. To verify this hypothesis, the DNA samples of 69 SMA patients who were referred to the Human Genome Center, USM were extracted from their blood. The SMN1 deletion analysis was performed, followed by the SMN2 copy no. analysis and NAIP deletion analysis to remove any clinical bias as NAIP gene deletion and SMN2 copy number have been reported to be associated with SMA disease severity. Only 10 SMA patients from different clinical types (type I=2, type II=3, type III=5) with homozygous deletion of the SMN1 and 2 copies of the SMN2 and deletion in NAIP were finally recruited. Primers were designed for the amplification of the SMN2 promoter region. Bioinformatics analysis was performed to identify the crucial transcription factor binding sites within the reported ~4.6 kb promoter region. As the core promoter region is still unknown (unreported), we analyzed 15 ORFs and 24 nested ORFs with 15 TATA boxes reflecting the diverse functional integrity of this region. The promoter prediction and core promoter prediction was also performed. Based on the bioinformatics analysis and the designed primers, PCR amplification was done for different regions in the promoter and the PCR products were subjected to direct DNA sequencing. The results were analyzed by Vector NTI suite 9, ClustalX and Gene Doc softwares. The molecular analysis confirmed the absence of any mutation in the promoter region of the SMN2 gene between normal healthy individuals (total 2) and SMA patients. In 4 patients and 1 normal healthy individual the CA repeats were found to be increased which we think cause no effect in disease progression and severity. In conclusion, there was no mutation found in the promoter region of the SMN2 gene among the SMA patients of different clinical types and normal controls. Further analysis involving the cloning of the promoter regions with highest probability of involvement in expression of the SMN2 gene using luciferase assay is ongoing. The results will be useful for the subsequent phase of the study involving the transcription initiation of the SMN2 gene

A whole genome analyses of genetic variants in two Kelantan Malay individuals

The sequencing of two members of the Royal Kelantan Malay family genomes will provide insights on the Kelantan Malay whole genome sequences. The two Kelantan Malay genomes were analyzed for the SNP markers associated with thalassemia and Helicobacter pylori infection. Helicobacter pylori infection was reported to be low prevalence in the north-east as compared to the west coast of the Peninsular Malaysia and beta-thalassemia was known to be one of the most common inherited and genetic disorder in Malaysia.By combining SNP information from literatures, GWAS study and NCBI ClinVar, 18 unique SNPs were selected for further analysis. From these 18 SNPs, 10 SNPs came from previous study of Helicobacter pylori infection among Malay patients, 6 SNPs were from NCBI ClinVar and 2 SNPs from GWAS studies. The analysis reveals that both Royal Kelantan Malay genomes shared all the 10 SNPs identified by Maran (Single Nucleotide Polymorphims (SNPs) genotypic profiling of Malay patients with and without Helicobacter pylori infection in Kelantan, 2011) and one SNP from GWAS study. In addition, the analysis also reveals that both Royal Kelantan Malay genomes shared 3 SNP markers; HBG1 (rs1061234), HBB (rs1609812) and BCL11A (rs766432) where all three markers were associated with beta-thalassemia.Our findings suggest that the Royal Kelantan Malays carry the SNPs which are associated with protection to Helicobacter pylori infection. In addition they also carry SNPs which are associated with beta-thalassemia. These findings are in line with the findings by other researchers who conducted studies on thalassemia and Helicobacter pylori infection in the non-royal Malay population.Wan Khairunnisa Wan Juhari, Nur Aida Md Tamrin, Mohd Hanif Ridzuan Mat Daud, Hatin Wan Isa, Nurfazreen Mohd Nasir, Sathiya Maran, Nur Shafawati Abdul Rajab, Khairul Bariah Ahmad Amin Noordin, Nik Norliza Nik Hassan, Rick Tearle, Rozaimi Razali, Amir Feisal Merican and Bin Alwi Zilfali

Population Genetic Structure of Peninsular Malaysia Malay Sub-Ethnic Groups

Patterns of modern human population structure are helpful in understanding the history of human migration and admixture. We conducted a study on genetic structure of the Malay population in Malaysia, using 54,794 genome-wide single nucleotide polymorphism genotype data generated in four Malay sub-ethnic groups in peninsular Malaysia (Melayu Kelantan, Melayu Minang, Melayu Jawa and Melayu Bugis). To the best of our knowledge this is the first study conducted on these four Malay sub-ethnic groups and the analysis of genotype data of these four groups were compiled together with 11 other populations' genotype data from Indonesia, China, India, Africa and indigenous populations in Peninsular Malaysia obtained from the Pan-Asian SNP database. The phylogeny of populations showed that all of the four Malay sub-ethnic groups are separated into at least three different clusters. The Melayu Jawa, Melayu Bugis and Melayu Minang have a very close genetic relationship with Indonesian populations indicating a common ancestral history, while the Melayu Kelantan formed a distinct group on the tree indicating that they are genetically different from the other Malay sub-ethnic groups. We have detected genetic structuring among the Malay populations and this could possibly be accounted for by their different historical origins. Our results provide information of the genetic differentiation between these populations and a valuable insight into the origins of the Malay sub-ethnic groups in Peninsular Malaysia

Identification of Close Relatives in the HUGO Pan-Asian SNP Database

The HUGO Pan-Asian SNP Consortium has recently released a genome-wide dataset, which consists of 1,719 DNA samples collected from 71 Asian populations. For studies of human population genetics such as genetic structure and migration history, this provided the most comprehensive large-scale survey of genetic variation to date in East and Southeast Asia. However, although considered in the analysis, close relatives were not clearly reported in the original paper. Here we performed a systematic analysis of genetic relationships among individuals from the Pan-Asian SNP (PASNP) database and identified 3 pairs of monozygotic twins or duplicate samples, 100 pairs of first-degree and 161 second-degree of relationships. Three standardized subsets with different levels of unrelated individuals were suggested here for future applications of the samples in most types of population-genetics studies (denoted by PASNP1716, PASNP1640 and PASNP1583 respectively) based on the relationships inferred in this study. In addition, we provided gender information for PASNP samples, which were not included in the original dataset, based on analysis of X chromosome data

Mapping human genetic diversity in Asia

Asia harbors substantial cultural and linguistic diversity, but the geographic structure of genetic variation across the continent remains enigmatic. Here we report a large-scale survey of autosomal variation from a broad geographic sample of Asian human populations. Our results show that genetic ancestry is strongly correlated with linguistic affiliations as well as geography. Most populations show relatedness within ethnic/linguistic groups, despite prevalent gene flow among populations. More than 90% of East Asian (EA) haplotypes could be found in either Southeast Asian (SEA) or Central-South Asian (CSA) populations and show clinal structure with haplotype diversity decreasing from south to north. Furthermore, 50% of EA haplotypes were found in SEA only and 5% were found in CSA only, indicating that SEA was a major geographic source of EA populations

Phenotype-Genotype Analyses of Clinically Diagnosed Malaysian Familial Hypercholestrolemic Patients Analiza zależności genotyp-fenotyp u Malezyjczyków chorych na rozpoznaną klinicznie rodzinną hipercholesterolemię

Abstract Background. Familial hypercholesterolemia and familial defective apo lipoprotein B are genetic disorders caused by defects in the low-density lipoprotein receptor gene and apo lipoprotein B 100 genes, respectively. The clinical phenotype of both diseases is characterized by increased plasma levels of total cholesterol and low density lipoprotein cholesterol, tendinous xanthomata, and premature coronary heart disease. Objectives. The aim of this study is to perform an association study between different gene sequence variants in low-density lipoprotein and apo lipoprotein B 100 genes to the clinical finding and lipid profile parameters of the study subjects. Material and Methods. A group of 164 familial hypercholesterolemic patients were recruited. The promoter region, exon 2-15 of the low density lipoprotein gene and parts of exon 26 and 29 of apo lipoprotein B 100 gene were screened by Denaturating Gradient High Performance Liquid Chromatography. Results. For the apo lipoprotein B 100 gene, those with apo lipoprotein B 100 gene mutation have a significantly higher frequency of cardiovascular disease (P = 0.045), higher low density lipoprotein cholesterol and total cholesterol: high density lipoprotein cholesterol ratio than those without mutation (P = 0.03 and 0.02, respectively). For the low density lipoprotein gene defect those with frame shift mutation group showed the worst clinical presentation in terms of low density lipoprotein cholesterol level and cardiovascular frequency. Conclusions. There was a statistically significant association between mutations of low density lipoprotein gene and apo lipoprotein B 100 genes and history of cardiovascular disease, younger age of presentation, family history of hyperlipidemia, tendon xanthoma and low density lipoprotein cholesterol level (Adv Clin Exp Med 2013, 22, 1, 57-67)