Utilizing linkage disequilibrium information from Indian genome variation database for mapping mutations: SCA₁₂ case study

Stratification in heterogeneous populations poses an enormous challenge in linkage disequilibrium (LD) based identification of causal loci using surrogate markers. In this study, we demonstrate the enormous potential of endogamous Indian populations for mapping mutations in candidate genes using minimal SNPs, mainly due to larger regions of LD. We show this by a case study of the PPP2R2B gene (∼400 kb) that harbours a CAG repeat, expansion of which has been implicated in spinocerebellar ataxia type 12 (SCA12). Using LD information derived from Indian Genome Variation database (IGVdb) on populations which share similar ethnic and linguistic backgrounds as the SCA12 study population, we could map the causal loci using a minimal set of three SNPs, without the generation of additional basal data from the ethnically matched population. We could also demonstrate transferability of tagSNPs from a related HapMap population for mapping the mutation

Genetic differentiation of populations residing in areas of high malaria endemicity in India

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No association of TNFRSF1B variants with type 2 diabetes in Indians of Indo-European origin

<p>Abstract</p> <p>Background</p> <p>There has been no systematic evaluation of the association between genetic variants of type 2 receptor for TNFα (TNFR2) and type 2 diabetes, despite strong biological evidence for the role of this receptor in the pathogenesis of this complex disorder. In view of this, we performed a comprehensive association analysis of <it>TNFRSF1B </it>variants with type 2 diabetes in 4,200 Indo-European subjects from North India.</p> <p>Methods</p> <p>The initial phase evaluated association of seven SNPs viz. rs652625, rs496888, rs6697733, rs945439, rs235249, rs17883432 and rs17884213 with type 2 diabetes in 2,115 participants (1,073 type 2 diabetes patients and 1,042 control subjects). Further, we conducted replication analysis of three associated SNPs in 2,085 subjects (1,047 type 2 diabetes patients and 1,038 control subjects).</p> <p>Results</p> <p>We observed nominal association of rs945439, rs235249 and rs17884213 with type 2 diabetes (<it>P </it>< 0.05) in the initial phase. Haplotype CC of rs945439 and rs235249 conferred increased susceptibility for type 2 diabetes [OR = 1.19 (95%CI 1.03-1.37), <it>P </it>= 0.019/<it>P</it>_perm= 0.076] whereas, TG haplotype of rs235249 and rs17884213 provided protection against type 2 diabetes [OR = 0.83 (95%CI 0.72-0.95, <it>P </it>= 7.2 × 10^-3/<it>P</it>_perm= 0.019]. We also observed suggestive association of rs496888 with plasma hsCRP levels [<it>P </it>= 0.042]. However, the association of rs945439, rs235249 and rs17884213 with type 2 diabetes was not replicated in the second study population. Meta-analysis of the two studies also failed to detect any association with type 2 diabetes.</p> <p>Conclusions</p> <p>Our two-stage association analysis suggests that <it>TNFRSF1B </it>variants are not the determinants of genetic risk of type 2 diabetes in North Indians.</p

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

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

Analysis of Single Nucleotide Polymorphisms of PRNP Gene in twenty-four Ethnic Groups of India

Human prion protein (PRNP), a copper binding sialoglycoprotein, is the causative agent for transmissible spongiform encephalopathies (TSEs), a group of neurodegenerative diseases that are generally associated with aggregation of amyloid plaques within the central nervous system disrupting the normal tissue structure (Liberski et al. 2001; Aguzzi et al. 2008). While more than 20 PRNP pathogenic mutations have been reported in patients, polymorphisms in the gene have been suggested to influence the incidence of the diseases with a Met129Val polymorphism (rs1799990) being the most important among them (Soldevila et al. 2006). This particular variant has been found to be associated with different prion related diseases as well as cognitive behaviour and long-term memory. Here, as a part of the effort from Indian Genome Variation Consortium (IGVC), we attempt to establish the baseline allele and genotype frequency of four PRNP SNPs including rs1799990 among 24 ethnic groups representing the Indian population. The allele and genotype frequency of rs1799990 is found to be different among different ethnic groups. This pilot study would serve as a platform for future epidemiologicalworks with respect to PRNP SNPs in India

Evaluation of Genetic Markers linked to Hemophilia A locus: an Indian Experience.

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