17 results on '"Liju, S"'
Search Results
2. Exercise protects the hypothalamus morphology from the deleterious effects of high sucrose diet consumption
- Author
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Ahmed, Ahmed S., Mathew, Liju S., Mona, Marwa M., Docmac, Omaima K., Ibrahim, Hoda A., Elshamy, Amira M., Hantash, Ehab M., and Elsisy, Rasha A.
- Published
- 2024
- Full Text
- View/download PDF
3. Hesperidin Protects the Hippocampus histological architecture and Cognitive Functions of Albino Wistar Rats from Deleterious Effects of Diabetes Mellitus
- Author
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Ahmed, Ahmed S., primary, Mathew, Liju S., additional, Mona, Marwa M., additional, Docmac, Omaima K., additional, Ibrahim, Hoda A., additional, Elshamy, Amira M., additional, Hantash, Ehab M., additional, and Elsisy, Rasha A., additional
- Published
- 2023
- Full Text
- View/download PDF
4. IDF21-0406 Genetic variants in the Carnosine-Carnosinase system and their impact on diabetic nephropathy
- Author
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Saravanakumar, S., Sheetal, M.M., Gnanaprakash, V., Chidambaram, M., Liju, S., Kanthi Mathi, S., Shanthirani, C.S., Mohan, V., Radha, V., and Bodhini, D.
- Published
- 2022
- Full Text
- View/download PDF
5. Genome-wide association study identifies a novel locus contributing to type 2 diabetes susceptibility in Sikhs of Punjabi origin from India
- Author
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Saxena, R, Saleheen, D, Been, L, Garavito, M, Braun, T, Bjonnes, A, Young, R, Ho, W, Rasheed, A, Frossard, P, Sim, X, Hassanali, N, Radha, V, Chidambaram, M, Liju, S, Rees, S, Ng, D, Wong, T, Yamauchi, T, Hara, K, Tanaka, Y, Hirose, H, McCarthy, M, Morris, A, and Basit, A
- Abstract
We performed a genome-wide association study (GWAS) and a multistage meta-analysis of type 2 diabetes (T2D) in Punjabi Sikhs from India. Our discovery GWAS in 1,616 individuals (842 case subjects) was followed by in silico replication of the top 513 independent single nucleotide polymorphisms (SNPs) (P < 10⁻³) in Punjabi Sikhs (n = 2,819; 801 case subjects). We further replicated 66 SNPs (P < 10⁻⁴) through genotyping in a Punjabi Sikh sample (n = 2,894; 1,711 case subjects). On combined meta-analysis in Sikh populations (n = 7,329; 3,354 case subjects), we identified a novel locus in association with T2D at 13q12 represented by a directly genotyped intronic SNP (rs9552911, P = 1.82 × 10⁻⁸) in the SGCG gene. Next, we undertook in silico replication (stage 2b) of the top 513 signals (P < 10⁻³) in 29,157 non-Sikh South Asians (10,971 case subjects) and de novo genotyping of up to 31 top signals (P < 10⁻⁴) in 10,817 South Asians (5,157 case subjects) (stage 3b). In combined South Asian meta-analysis, we observed six suggestive associations (P < 10⁻⁵ to < 10⁻⁷), including SNPs at HMG1L1/CTCFL, PLXNA4, SCAP, and chr5p11. Further evaluation of 31 top SNPs in 33,707 East Asians (16,746 case subjects) (stage 3c) and 47,117 Europeans (8,130 case subjects) (stage 3d), and joint meta-analysis of 128,127 individuals (44,358 case subjects) from 27 multiethnic studies, did not reveal any additional loci nor was there any evidence of replication for the new variant. Our findings provide new evidence on the presence of a population-specific signal in relation to T2D, which may provide additional insights into T2D pathogenesis.
- Published
- 2016
- Full Text
- View/download PDF
6. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
- Author
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Mahajan, A, Go, MJ, Zhang, W, Below, JE, Gaulton, KJ, Ferreira, T, Horikoshi, M, Johnson, AD, Ng, MCY, Prokopenko, I, Saleheen, D, Wang, X, Zeggini, E, Abecasis, GR, Adair, LS, Almgren, P, Atalay, M, Aung, T, Baldassarre, D, Balkau, B, Bao, Y, Barnett, AH, Barroso, I, Basit, A, Been, LF, Beilby, J, Bell, GI, Benediktsson, R, Bergman, RN, Boehm, BO, Boerwinkle, E, Bonnycastle, LL, Burtt, N, Cai, Q, Campbell, H, Carey, J, Cauchi, S, Caulfield, M, Chan, JCN, Chang, L-C, Chang, T-J, Chang, Y-C, Charpentier, G, Chen, C-H, Chen, H, Chen, Y-T, Chia, K-S, Chidambaram, M, Chines, PS, Cho, NH, Cho, YM, Chuang, L-M, Collins, FS, Cornelis, MC, Couper, DJ, Crenshaw, AT, van Dam, RM, Danesh, J, Das, D, de Faire, U, Dedoussis, G, Deloukas, P, Dimas, AS, Dina, C, Doney, ASF, Donnelly, PJ, Dorkhan, M, van Duijn, C, Dupuis, J, Edkins, S, Elliott, P, Emilsson, V, Erbel, R, Eriksson, JG, Escobedo, J, Esko, T, Eury, E, Florez, JC, Fontanillas, P, Forouhi, NG, Forsen, T, Fox, C, Fraser, RM, Frayling, TM, Froguel, P, Frossard, P, Gao, Y, Gertow, K, Gieger, C, Gigante, B, Grallert, H, Grant, GB, Groop, LC, Groves, CJ, Grundberg, E, Guiducci, C, Hamsten, A, Han, B-G, Hara, K, Hassanali, N, Hattersley, AT, Hayward, C, Hedman, AK, Herder, C, Hofman, A, Holmen, OL, Hovingh, K, Hreidarsson, AB, Hu, C, Hu, FB, Hui, J, Humphries, SE, Hunt, SE, Hunter, DJ, Hveem, K, Hydrie, ZI, Ikegami, H, Illig, T, Ingelsson, E, Islam, M, Isomaa, B, Jackson, AU, Jafar, T, James, A, Jia, W, Joeckel, K-H, Jonsson, A, Jowett, JBM, Kadowaki, T, Kang, HM, Kanoni, S, Kao, WHL, Kathiresan, S, Kato, N, Katulanda, P, Keinanen-Kiukaanniemi, SM, Kelly, AM, Khan, H, Khaw, K-T, Khor, C-C, Kim, H-L, Kim, S, Kim, YJ, Kinnunen, L, Klopp, N, Kong, A, Korpi-Hyovalti, E, Kowlessur, S, Kraft, P, Kravic, J, Kristensen, MM, Krithika, S, Kumar, A, Kumate, J, Kuusisto, J, Kwak, SH, Laakso, M, Lagou, V, Lakka, TA, Langenberg, C, Langford, C, Lawrence, R, Leander, K, Lee, J-M, Lee, NR, Li, M, Li, X, Li, Y, Liang, J, Liju, S, Lim, W-Y, Lind, L, Lindgren, CM, Lindholm, E, Liu, C-T, Liu, JJ, Lobbens, S, Long, J, Loos, RJF, Lu, W, Luan, J, Lyssenko, V, Ma, RCW, Maeda, S, Maegi, R, Mannisto, S, Matthews, DR, Meigs, JB, Melander, O, Metspalu, A, Meyer, J, Mirza, G, Mihailov, E, Moebus, S, Mohan, V, Mohlke, KL, Morris, AD, Muehleisen, TW, Mueller-Nurasyid, M, Musk, B, Nakamura, J, Nakashima, E, Navarro, P, Peng-Keat, N, Nica, AC, Nilsson, PM, Njolstad, I, Noethen, MM, Ohnaka, K, Ong, TH, Owen, KR, Palmer, CNA, Pankow, JS, Park, KS, Parkin, M, Pechlivanis, S, Pedersen, NL, Peltonen, L, Perry, JRB, Peters, A, Pinidiyapathirage, JM, Platou, CGP, Potter, S, Price, JF, Qi, L, Radha, V, Rallidis, L, Rasheed, A, Rathmann, W, Rauramaa, R, Raychaudhuri, S, Rayner, NW, Rees, SD, Rehnberg, E, Ripatti, S, Robertson, N, Roden, M, Rossin, EJ, Rudan, I, Rybin, D, Saaristo, TE, Salomaa, V, Saltevo, J, Samuel, M, Sanghera, DK, Saramies, J, Scott, J, Scott, LJ, Scott, RA, Segre, AV, Sehmi, J, Sennblad, B, Shah, N, Shah, S, Shera, AS, Shu, XO, Shuldiner, AR, Sigurdsson, G, Sijbrands, E, Silveira, A, Sim, X, Sivapalaratnam, S, Small, KS, So, WY, Stancakova, A, Stefansson, K, Steinbach, G, Steinthorsdottir, V, Stirrups, K, Strawbridge, RJ, Stringham, HM, Sun, Q, Suo, C, Syvanen, A-C, Takayanagi, R, Takeuchi, F, Tay, WT, Teslovich, TM, Thorand, B, Thorleifsson, G, Thorsteinsdottir, U, Tikkanen, E, Trakalo, J, Tremoli, E, Trip, MD, Tsai, FJ, Tuomi, T, Tuomilehto, J, Uitterlinden, AG, Valladares-Salgado, A, Vedantam, S, Veglia, F, Voight, BF, Wang, C, Wareham, NJ, Wennauer, R, Wickremasinghe, AR, Wilsgaard, T, Wilson, JF, Wiltshire, S, Winckler, W, Wong, TY, Wood, AR, Wu, J-Y, Wu, Y, Yamamoto, K, Yamauchi, T, Yang, M, Yengo, L, Yokota, M, Young, R, Zabaneh, D, Zhang, F, Zhang, R, Zheng, W, Zimmet, PZ, Altshuler, D, Bowden, DW, Cho, YS, Cox, NJ, Cruz, M, Hanis, CL, Kooner, J, Lee, J-Y, Seielstad, M, Teo, YY, Boehnke, M, Parra, EJ, Chambers, JC, Tai, ES, McCarthy, MI, Morris, AP, Mahajan, A, Go, MJ, Zhang, W, Below, JE, Gaulton, KJ, Ferreira, T, Horikoshi, M, Johnson, AD, Ng, MCY, Prokopenko, I, Saleheen, D, Wang, X, Zeggini, E, Abecasis, GR, Adair, LS, Almgren, P, Atalay, M, Aung, T, Baldassarre, D, Balkau, B, Bao, Y, Barnett, AH, Barroso, I, Basit, A, Been, LF, Beilby, J, Bell, GI, Benediktsson, R, Bergman, RN, Boehm, BO, Boerwinkle, E, Bonnycastle, LL, Burtt, N, Cai, Q, Campbell, H, Carey, J, Cauchi, S, Caulfield, M, Chan, JCN, Chang, L-C, Chang, T-J, Chang, Y-C, Charpentier, G, Chen, C-H, Chen, H, Chen, Y-T, Chia, K-S, Chidambaram, M, Chines, PS, Cho, NH, Cho, YM, Chuang, L-M, Collins, FS, Cornelis, MC, Couper, DJ, Crenshaw, AT, van Dam, RM, Danesh, J, Das, D, de Faire, U, Dedoussis, G, Deloukas, P, Dimas, AS, Dina, C, Doney, ASF, Donnelly, PJ, Dorkhan, M, van Duijn, C, Dupuis, J, Edkins, S, Elliott, P, Emilsson, V, Erbel, R, Eriksson, JG, Escobedo, J, Esko, T, Eury, E, Florez, JC, Fontanillas, P, Forouhi, NG, Forsen, T, Fox, C, Fraser, RM, Frayling, TM, Froguel, P, Frossard, P, Gao, Y, Gertow, K, Gieger, C, Gigante, B, Grallert, H, Grant, GB, Groop, LC, Groves, CJ, Grundberg, E, Guiducci, C, Hamsten, A, Han, B-G, Hara, K, Hassanali, N, Hattersley, AT, Hayward, C, Hedman, AK, Herder, C, Hofman, A, Holmen, OL, Hovingh, K, Hreidarsson, AB, Hu, C, Hu, FB, Hui, J, Humphries, SE, Hunt, SE, Hunter, DJ, Hveem, K, Hydrie, ZI, Ikegami, H, Illig, T, Ingelsson, E, Islam, M, Isomaa, B, Jackson, AU, Jafar, T, James, A, Jia, W, Joeckel, K-H, Jonsson, A, Jowett, JBM, Kadowaki, T, Kang, HM, Kanoni, S, Kao, WHL, Kathiresan, S, Kato, N, Katulanda, P, Keinanen-Kiukaanniemi, SM, Kelly, AM, Khan, H, Khaw, K-T, Khor, C-C, Kim, H-L, Kim, S, Kim, YJ, Kinnunen, L, Klopp, N, Kong, A, Korpi-Hyovalti, E, Kowlessur, S, Kraft, P, Kravic, J, Kristensen, MM, Krithika, S, Kumar, A, Kumate, J, Kuusisto, J, Kwak, SH, Laakso, M, Lagou, V, Lakka, TA, Langenberg, C, Langford, C, Lawrence, R, Leander, K, Lee, J-M, Lee, NR, Li, M, Li, X, Li, Y, Liang, J, Liju, S, Lim, W-Y, Lind, L, Lindgren, CM, Lindholm, E, Liu, C-T, Liu, JJ, Lobbens, S, Long, J, Loos, RJF, Lu, W, Luan, J, Lyssenko, V, Ma, RCW, Maeda, S, Maegi, R, Mannisto, S, Matthews, DR, Meigs, JB, Melander, O, Metspalu, A, Meyer, J, Mirza, G, Mihailov, E, Moebus, S, Mohan, V, Mohlke, KL, Morris, AD, Muehleisen, TW, Mueller-Nurasyid, M, Musk, B, Nakamura, J, Nakashima, E, Navarro, P, Peng-Keat, N, Nica, AC, Nilsson, PM, Njolstad, I, Noethen, MM, Ohnaka, K, Ong, TH, Owen, KR, Palmer, CNA, Pankow, JS, Park, KS, Parkin, M, Pechlivanis, S, Pedersen, NL, Peltonen, L, Perry, JRB, Peters, A, Pinidiyapathirage, JM, Platou, CGP, Potter, S, Price, JF, Qi, L, Radha, V, Rallidis, L, Rasheed, A, Rathmann, W, Rauramaa, R, Raychaudhuri, S, Rayner, NW, Rees, SD, Rehnberg, E, Ripatti, S, Robertson, N, Roden, M, Rossin, EJ, Rudan, I, Rybin, D, Saaristo, TE, Salomaa, V, Saltevo, J, Samuel, M, Sanghera, DK, Saramies, J, Scott, J, Scott, LJ, Scott, RA, Segre, AV, Sehmi, J, Sennblad, B, Shah, N, Shah, S, Shera, AS, Shu, XO, Shuldiner, AR, Sigurdsson, G, Sijbrands, E, Silveira, A, Sim, X, Sivapalaratnam, S, Small, KS, So, WY, Stancakova, A, Stefansson, K, Steinbach, G, Steinthorsdottir, V, Stirrups, K, Strawbridge, RJ, Stringham, HM, Sun, Q, Suo, C, Syvanen, A-C, Takayanagi, R, Takeuchi, F, Tay, WT, Teslovich, TM, Thorand, B, Thorleifsson, G, Thorsteinsdottir, U, Tikkanen, E, Trakalo, J, Tremoli, E, Trip, MD, Tsai, FJ, Tuomi, T, Tuomilehto, J, Uitterlinden, AG, Valladares-Salgado, A, Vedantam, S, Veglia, F, Voight, BF, Wang, C, Wareham, NJ, Wennauer, R, Wickremasinghe, AR, Wilsgaard, T, Wilson, JF, Wiltshire, S, Winckler, W, Wong, TY, Wood, AR, Wu, J-Y, Wu, Y, Yamamoto, K, Yamauchi, T, Yang, M, Yengo, L, Yokota, M, Young, R, Zabaneh, D, Zhang, F, Zhang, R, Zheng, W, Zimmet, PZ, Altshuler, D, Bowden, DW, Cho, YS, Cox, NJ, Cruz, M, Hanis, CL, Kooner, J, Lee, J-Y, Seielstad, M, Teo, YY, Boehnke, M, Parra, EJ, Chambers, JC, Tai, ES, McCarthy, MI, and Morris, AP
- Abstract
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
- Published
- 2014
7. Genome-Wide Association Study Identifies a Novel Locus Contributing to Type 2 Diabetes Susceptibility in Sikhs of Punjabi Origin From India
- Author
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Saxena, R, Saleheen, D, Been, LF, Garavito, ML, Braun, T, Bjonnes, A, Young, R, Ho, WK, Rasheed, A, Frossard, P, Sim, X, Hassanali, N, Radha, V, Chidambaram, M, Liju, S, Rees, SD, Ng, DP-K, Wong, T-Y, Yamauchi, T, Hara, K, Tanaka, Y, Hirose, H, McCarthy, MI, Morris, AP, Basit, A, Barnett, AH, Katulanda, P, Matthews, D, Mohan, V, Wander, GS, Singh, JR, Mehra, NK, Ralhan, S, Kamboh, MI, Mulvihill, JJ, Maegawa, H, Tobe, K, Maeda, S, Cho, YS, Tai, ES, Kelly, MA, Chambers, JC, Kooner, JS, Kadowaki, T, Deloukas, P, Rader, DJ, Danesh, J, Sanghera, DK, Saxena, R, Saleheen, D, Been, LF, Garavito, ML, Braun, T, Bjonnes, A, Young, R, Ho, WK, Rasheed, A, Frossard, P, Sim, X, Hassanali, N, Radha, V, Chidambaram, M, Liju, S, Rees, SD, Ng, DP-K, Wong, T-Y, Yamauchi, T, Hara, K, Tanaka, Y, Hirose, H, McCarthy, MI, Morris, AP, Basit, A, Barnett, AH, Katulanda, P, Matthews, D, Mohan, V, Wander, GS, Singh, JR, Mehra, NK, Ralhan, S, Kamboh, MI, Mulvihill, JJ, Maegawa, H, Tobe, K, Maeda, S, Cho, YS, Tai, ES, Kelly, MA, Chambers, JC, Kooner, JS, Kadowaki, T, Deloukas, P, Rader, DJ, Danesh, J, and Sanghera, DK
- Abstract
We performed a genome-wide association study (GWAS) and a multistage meta-analysis of type 2 diabetes (T2D) in Punjabi Sikhs from India. Our discovery GWAS in 1,616 individuals (842 case subjects) was followed by in silico replication of the top 513 independent single nucleotide polymorphisms (SNPs) (P < 10⁻³) in Punjabi Sikhs (n = 2,819; 801 case subjects). We further replicated 66 SNPs (P < 10⁻⁴) through genotyping in a Punjabi Sikh sample (n = 2,894; 1,711 case subjects). On combined meta-analysis in Sikh populations (n = 7,329; 3,354 case subjects), we identified a novel locus in association with T2D at 13q12 represented by a directly genotyped intronic SNP (rs9552911, P = 1.82 × 10⁻⁸) in the SGCG gene. Next, we undertook in silico replication (stage 2b) of the top 513 signals (P < 10⁻³) in 29,157 non-Sikh South Asians (10,971 case subjects) and de novo genotyping of up to 31 top signals (P < 10⁻⁴) in 10,817 South Asians (5,157 case subjects) (stage 3b). In combined South Asian meta-analysis, we observed six suggestive associations (P < 10⁻⁵ to < 10⁻⁷), including SNPs at HMG1L1/CTCFL, PLXNA4, SCAP, and chr5p11. Further evaluation of 31 top SNPs in 33,707 East Asians (16,746 case subjects) (stage 3c) and 47,117 Europeans (8,130 case subjects) (stage 3d), and joint meta-analysis of 128,127 individuals (44,358 case subjects) from 27 multiethnic studies, did not reveal any additional loci nor was there any evidence of replication for the new variant. Our findings provide new evidence on the presence of a population-specific signal in relation to T2D, which may provide additional insights into T2D pathogenesis.
- Published
- 2013
8. Common and Distinct Genetic Architecture of Age at Diagnosis of Diabetes in South Indian and European Populations.
- Author
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Srinivasan S, Liju S, Sathish N, Siddiqui MK, Anjana RM, Pearson ER, Doney ASF, Mohan V, Radha V, and Palmer CNA
- Subjects
- Humans, Ethnicity, Genetic Predisposition to Disease, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Age of Onset, Age Factors, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 ethnology, Diabetes Mellitus, Type 2 genetics, European People genetics, South Asian People genetics
- Abstract
Objective: South Asians are diagnosed with type 2 diabetes (T2D) more than a decade earlier in life than seen in European populations. We hypothesized that studying the genomics of age of diagnosis in these populations may give insight into the earlier age diagnosis of T2D among individuals of South Asian descent., Research Design and Methods: We conducted a meta-analysis of genome-wide association studies (GWAS) of age at diagnosis of T2D in 34,001 individuals from four independent cohorts of European and South Asian Indians., Results: We identified two signals near the TCF7L2 and CDKAL1 genes associated with age at the onset of T2D. The strongest genome-wide significant variants at chromosome 10q25.3 in TCF7L2 (rs7903146; P = 2.4 × 10-12, β = -0.436; SE 0.02) and chromosome 6p22.3 in CDKAL1 (rs9368219; P = 2.29 × 10-8; β = -0.053; SE 0.01) were directionally consistent across ethnic groups and present at similar frequencies; however, both loci harbored additional independent signals that were only present in the South Indian cohorts. A genome-wide signal was also obtained at chromosome 10q26.12 in WDR11 (rs3011366; P = 3.255 × 10-8; β = 1.44; SE 0.25), specifically in the South Indian cohorts. Heritability estimates for the age at diagnosis were much stronger in South Indians than Europeans, and a polygenic risk score constructed based on South Indian GWAS explained ∼2% trait variance., Conclusions: Our findings provide a better understanding of ethnic differences in the age at diagnosis and indicate the potential importance of ethnic differences in the genetic architecture underpinning T2D., (© 2023 by the American Diabetes Association.)
- Published
- 2023
- Full Text
- View/download PDF
9. Impact of type 2 diabetes variants identified through genome-wide association studies in early-onset type 2 diabetes from South Indian population.
- Author
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Liju S, Chidambaram M, Mohan V, and Radha V
- Abstract
The prevalence of early-onset type 2 diabetes (EOT2D) is increasing in Asian countries. Genome-wide association studies performed in European and various other populations have identified associations of numerous variants with type 2 diabetes in adults. However, the genetic component of EOT2D which is still unexplored could have similarities with late-onset type 2 diabetes. Here in the present study we aim to identify the association of variants with EOT2D in South Indian population. Twenty-five variants from 18 gene loci were genotyped in 1,188 EOT2D and 1,183 normal glucose tolerant subjects using the MassARRAY technology. We confirm the association of the HHEX variant rs1111875 with EOT2D in this South Indian population and also the association of CDKN2A/2B (rs7020996) and TCF7L2 (rs4506565) with EOT2D. Logistic regression analyses of the TCF7L2 variant rs4506565(A/T), showed that the heterozygous and homozygous carriers for allele 'T' have odds ratios of 1.47 (95% confidence interval [CI], 1.17 to 1.83; p = 0.001) and 1.65 (95% CI, 1.18 to 2.28; p = 0.006) respectively, relative to AA homozygote. For the HHEX variant rs1111875 (T/C), heterozygous and homozygous carriers for allele 'C' have odds ratios of 1.13 (95% CI, 0.91 to 1.42; p = 0.27) and 1.58 (95% CI, 1.17 to 2.12; p = 0.003) respectively, relative to the TT homozygote. For CDKN2A/2B variant rs7020996, the heterozygous and homozygous carriers of allele 'C' were protective with odds ratios of 0.65 (95% CI, 0.51 to 0.83; p = 0.0004) and 0.62 (95% CI, 0.27 to 1.39; p = 0.24) respectively, relative to TT homozygote. This is the first study to report on the association of HHEX variant rs1111875 with EOT2D in this population.
- Published
- 2020
- Full Text
- View/download PDF
10. Association of recently identified type 2 diabetes gene variants with Gestational Diabetes in Asian Indian population.
- Author
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Kanthimathi S, Chidambaram M, Bodhini D, Liju S, Bhavatharini A, Uma R, Anjana RM, Mohan V, and Radha V
- Subjects
- Adult, Alleles, Female, Genetic Association Studies, Genotype, Humans, India, Pregnancy, Asian People genetics, Diabetes Mellitus, Type 2 genetics, Diabetes, Gestational genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide genetics
- Abstract
Earlier studies have provided evidence that the gestational diabetes mellitus (GDM) and Type 2 diabetes mellitus (T2DM) share common genetic background. A recent genome wide association study (GWAS) showed a strong association of six novel gene variants with T2DM among south Asians but not with Europeans. The aim of this study was to investigate whether these variants that confer susceptibility to T2DM in Asian Indian population also correlate with GDM in Asian Indian population. In addition to these novel variants, three T2DM associated SNPs that were previously identified by GWAS in Caucasian populations, which also showed association with T2DM in south Indian population in our previous study were also evaluated for their susceptibility to GDM in our population. The study groups comprised unrelated pregnant women with GDM (n = 518) and pregnant women with normal glucose tolerance (NGT) (n = 1220). A total of nine SNPs in or near nine loci, namely AP3S2 (rs2028299), BAZ1B (rs12056034), CDKN2A/B (rs7020996), GRB14 (rs3923113), HHEX (rs7923837), HMG20A (rs7178572), HNF4A (rs4812829), ST6GAL1 (rs16861329) and VPS26A (rs1802295) were genotyped using the MassARRAY system. Among these nine SNPs that previously showed an association with T2DM in Asian Indians, HMG20A (rs7178572) and HNF4A (rs4812829) gene variants showed a significant association with GDM. The risk alleles of rs7178572 in HMG20A and rs4812829 in HNF4A gene conferred 1.24 and 1.28 times higher risk independently and about 1.44 and 1.97 times increased susceptibility to GDM for one and two risk genotypes, respectively. We report that the HMG20A (rs7178572) and HNF4A (rs4812829) variants that have previously shown a strong association with T2DM in Asian Indians also contributes significant risk to GDM in this population. This is the first report of the association of HMG20A (rs7178572) and HNF4A (rs4812829) variants with GDM.
- Published
- 2017
- Full Text
- View/download PDF
11. Replication of genome-wide association signals in Asian Indians with early-onset type 2 diabetes.
- Author
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Chidambaram M, Liju S, Saboo B, Sathyavani K, Viswanathan V, Pankratz N, Gross M, Mohan V, and Radha V
- Subjects
- Adult, Age of Onset, Ethnicity, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Glucose Tolerance Test methods, Humans, India epidemiology, Male, Middle Aged, Polymorphism, Single Nucleotide, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 genetics
- Abstract
Aims: To evaluate the association of 87 genetic variants previously associated with type 2 diabetes mellitus (T2DM) in genome-wide association studies of populations of European ancestry in an Asian Indian population with early-onset type 2 diabetes mellitus (EOT2DM)., Methods: The study groups comprised of 877 type 2 diabetes individuals, 436 individuals with EOT2DM (age at diagnosis below 35 years), 441 individuals with older T2DM (diagnosis at 35 years or greater) and controls with normal glucose tolerance (NGT) (n = 400 younger than 35 years; n = 438 older than 35 years). The participants were genotyped for 87 SNPs from 44 genes and 27 intergenic loci. Associations were tested using logistic regression., Results: All the variants in TCF7L2 and CDKN2A/2B showed study-wide significance (p < 1.4 × 10
-4 ) with T2DM, but only rs7903146, rs12243326, rs12255372 of TCF7L2 and rs7020996 of CDKN2A/2B showed study-wide significance (p < 1.4 × 10-4 ) with EOT2DM in this population. In addition, an intergenic SNP on chromosome 1 (rs10493685) was also shown to be study-wide significant (p = 7.1 × 10-6 ). Several additional SNPs previously associated with T2DM reached borderline significance in this study, but may have been limited by relatively low sample numbers. Various other SNPs of T2DM were not associated with EOT2DM., Conclusions: Some of the variants in TCF7L2 and CDKN2A/2B associated with T2DM are associated with EOT2DM as well. An intergenic SNP on chromosome 1p31 showed association only with early-onset T2DM in this Asian Indian population. The lack of association with many other SNPs of T2DM may be a reflection of the lack of power of the study, sample size, differences in the frequencies of genetic polymorphisms in different ethnic groups, effect sizes, as well as ancestral differences in pattern of LD between the genetic variants involved in early- and late-onset T2DM.- Published
- 2016
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12. Association of rs11643718 SLC12A3 and rs741301 ELMO1 Variants with Diabetic Nephropathy in South Indian Population.
- Author
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Bodhini D, Chidambaram M, Liju S, Revathi B, Laasya D, Sathish N, Kanthimathi S, Ghosh S, Anjana RM, Mohan V, and Radha V
- Subjects
- Aged, Asian People, Case-Control Studies, Diabetes Mellitus, Type 2 complications, Female, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, India, Male, Middle Aged, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, Solute Carrier Family 12, Member 3 genetics, Adaptor Proteins, Signal Transducing genetics, Diabetes Mellitus, Type 2 genetics, Diabetic Nephropathies genetics
- Abstract
This study reports on the association of genetic variants selected from previous genome-wide association studies for type 2 diabetic nephropathy in south Indians. Eight variants were genotyped in 601 type 2 diabetic subjects without nephropathy (DM) and 583 type 2 diabetic subjects with nephropathy (DN) by MassARRAY. The minor allele frequencies of rs11643718 SLC12A3 variant and rs741301 ELMO1 variant were significantly different between DM and DN groups (P = 0.029 and 0.016, respectively). A combined analysis showed that the subjects carrying the risk genotypes of both these variants (GG of rs11643718 + AG/AA of rs741301) had a significant association with DN with an odds ratio [adjusted for age, sex, Body Mass Index (BMI), HbA1c, and systolic Blood Pressure (BP)] of 1.73 (1.30-2.30, P = 1.72 × 10
-4 ) as compared to subjects carrying all other genotype combinations. This is the first study to report a significant association of the SLC12A3 rs11643718 and ELMO1 rs741301 (Single nucleotide Polymorphism) SNPs with diabetic nephropathy in south Indians., (© 2016 John Wiley & Sons Ltd/University College London.)- Published
- 2016
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13. Hexokinase Domain Containing 1 (HKDC1) Gene Variants and their Association with Gestational Diabetes Mellitus in a South Indian Population.
- Author
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Kanthimathi S, Liju S, Laasya D, Anjana RM, Mohan V, and Radha V
- Subjects
- Adult, Case-Control Studies, Female, Genetic Association Studies, Genetic Predisposition to Disease, Humans, India, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Pregnancy, Young Adult, Diabetes, Gestational genetics, Hexokinase genetics
- Abstract
Hexokinase domain containing 1 (HKDC1), a novel human hexokinase gene, is known to affect glucose metabolism and was shown to have a strong association with 2-h plasma glucose in pregnant women in a recent genome wide association study. This study aimed to evaluate the association of these regulatory variants of HKDC1 (rs1076224, rs4746822, rs2394529 and rs9645501) with gestational diabetes mellitus (GDM) in a South Indian population. The regulatory variants of HKDC1 were genotyped in unrelated 500 women with GDM and 510 non-GDM individuals by using the MassARRAY system and by direct DNA sequencing. The minor alleles of the HKDC1 gene regulatory variants, namely rs10762264 and rs4746822, showed a significant association with GDM and these alleles conferred as much as 1.24 and 1.34 times higher risk for GDM, respectively. This is the first study to demonstrate the association of HKDC1 genetic variants with susceptibility to GDM., (© 2016 John Wiley & Sons Ltd/University College London.)
- Published
- 2016
- Full Text
- View/download PDF
14. Association of TCF7L2 Polymorphism with Diabetic Nephropathy in the South Indian Population.
- Author
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Bodhini D, Chidambaram M, Liju S, Prakash VG, Gayathri V, Shanthirani CS, Ranjith U, Anjana RM, Mohan V, and Radha V
- Abstract
The transcription factor 7-like 2 (TCF7L2) gene plays a significant role in the development of type 2 diabetes and diabetic nephropathy. The aim of this study was to investigate the association of TCF7L2 rs12255372 (G/T)polymorphism with type 2 diabetic nephropathy in the South Indian population. A total of 2102 subjects, 927 normal glucose tolerant (NGT) subjects, 598 type 2 diabetic subjects without nephropathy (DM), and 577 type 2 diabetic subjects with nephropathy (DN) were genotyped by MassARRAY. As compared to the NGT group, the odds ratio (adjusted for age, sex, BMI, HbA1c, and systolic BP) computed for the GT/TT genotype taking the GG genotype as reference was found to be 2.02 (95% CI: 1.16-3.51, p = 0.013) for DN and 1.94 (95% CI: 1.36-2.78, p = 0.0002) for DM. The genotype frequency was not significantly different between the DM and DN groups. In conclusion, the rs12255372 polymorphism in the TCF7L2 gene is associated with type 2 diabetes and DN but its association with DN is mediated through diabetes., (© 2015 John Wiley & Sons Ltd/University College London.)
- Published
- 2015
- Full Text
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15. Identification of Genetic Variants of Gestational Diabetes in South Indians.
- Author
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Kanthimathi S, Chidambaram M, Liju S, Bhavadharini B, Bodhini D, Prakash VG, Amutha A, Bhavatharini A, Anjana RM, Mohan V, and Radha V
- Subjects
- Adult, Alleles, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 genetics, Diabetes, Gestational blood, Female, Genetic Variation, Genotype, Humans, India ethnology, Odds Ratio, Pregnancy, Risk Factors, tRNA Methyltransferases, Cyclin-Dependent Kinase 5 genetics, Diabetes, Gestational genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide
- Abstract
Background: This study examined the association in a South Indian population with gestational diabetes mellitus (GDM) of type 2 diabetes risk variants that have previously conferred susceptibility to GDM in other populations., Subjects and Methods: The study groups comprised 518 women with GDM and 910 pregnant women with normal glucose tolerance (NGT). Women with GDM were recruited from a tertiary diabetes center in Chennai, in south India, and NGT women were selected from antenatal clinics also in Chennai. Genomic DNA was isolated from whole blood using the phenol chloroform method. Twelve previously reported GDM-associated single nucleotide polymorphisms (SNPs) in or near nine loci were genotyped using the MassARRAY™ system (Sequenom, San Diego, CA)., Results: Among the 12 SNPs genotyped, 11 SNPs were in Hardy-Weinberg equilibrium and had a call rate of >95%. Of the 11 SNPs previously associated with GDM in other populations, significant association was observed only with the rs7754840 and rs7756992 SNPs of the CDK5 regulatory subunit associated protein 1-like 1 (CDKAL1) gene in this population. The minor alleles of the SNPs rs7754840 and rs7756992 showed significant susceptibility to GDM with an odds ratio of 1.34 (95% confidence interval, 1.12-1.60; P = 0.0013) and 1.45 (95% confidence interval, 1.21-1.72; P = 0.00004), respectively., Conclusions: The rs7754840 and rs7756992 SNPs of the CDKAL1 gene were found to be associated with GDM in this south Indian population. This is the first study describing genetic susceptibility of GDM in Asian Indians.
- Published
- 2015
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16. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.
- Author
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Mahajan A, Go MJ, Zhang W, Below JE, Gaulton KJ, Ferreira T, Horikoshi M, Johnson AD, Ng MC, Prokopenko I, Saleheen D, Wang X, Zeggini E, Abecasis GR, Adair LS, Almgren P, Atalay M, Aung T, Baldassarre D, Balkau B, Bao Y, Barnett AH, Barroso I, Basit A, Been LF, Beilby J, Bell GI, Benediktsson R, Bergman RN, Boehm BO, Boerwinkle E, Bonnycastle LL, Burtt N, Cai Q, Campbell H, Carey J, Cauchi S, Caulfield M, Chan JC, Chang LC, Chang TJ, Chang YC, Charpentier G, Chen CH, Chen H, Chen YT, Chia KS, Chidambaram M, Chines PS, Cho NH, Cho YM, Chuang LM, Collins FS, Cornelis MC, Couper DJ, Crenshaw AT, van Dam RM, Danesh J, Das D, de Faire U, Dedoussis G, Deloukas P, Dimas AS, Dina C, Doney AS, Donnelly PJ, Dorkhan M, van Duijn C, Dupuis J, Edkins S, Elliott P, Emilsson V, Erbel R, Eriksson JG, Escobedo J, Esko T, Eury E, Florez JC, Fontanillas P, Forouhi NG, Forsen T, Fox C, Fraser RM, Frayling TM, Froguel P, Frossard P, Gao Y, Gertow K, Gieger C, Gigante B, Grallert H, Grant GB, Grrop LC, Groves CJ, Grundberg E, Guiducci C, Hamsten A, Han BG, Hara K, Hassanali N, Hattersley AT, Hayward C, Hedman AK, Herder C, Hofman A, Holmen OL, Hovingh K, Hreidarsson AB, Hu C, Hu FB, Hui J, Humphries SE, Hunt SE, Hunter DJ, Hveem K, Hydrie ZI, Ikegami H, Illig T, Ingelsson E, Islam M, Isomaa B, Jackson AU, Jafar T, James A, Jia W, Jöckel KH, Jonsson A, Jowett JB, Kadowaki T, Kang HM, Kanoni S, Kao WH, Kathiresan S, Kato N, Katulanda P, Keinanen-Kiukaanniemi KM, Kelly AM, Khan H, Khaw KT, Khor CC, Kim HL, Kim S, Kim YJ, Kinnunen L, Klopp N, Kong A, Korpi-Hyövälti E, Kowlessur S, Kraft P, Kravic J, Kristensen MM, Krithika S, Kumar A, Kumate J, Kuusisto J, Kwak SH, Laakso M, Lagou V, Lakka TA, Langenberg C, Langford C, Lawrence R, Leander K, Lee JM, Lee NR, Li M, Li X, Li Y, Liang J, Liju S, Lim WY, Lind L, Lindgren CM, Lindholm E, Liu CT, Liu JJ, Lobbens S, Long J, Loos RJ, Lu W, Luan J, Lyssenko V, Ma RC, Maeda S, Mägi R, Männisto S, Matthews DR, Meigs JB, Melander O, Metspalu A, Meyer J, Mirza G, Mihailov E, Moebus S, Mohan V, Mohlke KL, Morris AD, Mühleisen TW, Müller-Nurasyid M, Musk B, Nakamura J, Nakashima E, Navarro P, Ng PK, Nica AC, Nilsson PM, Njølstad I, Nöthen MM, Ohnaka K, Ong TH, Owen KR, Palmer CN, Pankow JS, Park KS, Parkin M, Pechlivanis S, Pedersen NL, Peltonen L, Perry JR, Peters A, Pinidiyapathirage JM, Platou CG, Potter S, Price JF, Qi L, Radha V, Rallidis L, Rasheed A, Rathman W, Rauramaa R, Raychaudhuri S, Rayner NW, Rees SD, Rehnberg E, Ripatti S, Robertson N, Roden M, Rossin EJ, Rudan I, Rybin D, Saaristo TE, Salomaa V, Saltevo J, Samuel M, Sanghera DK, Saramies J, Scott J, Scott LJ, Scott RA, Segrè AV, Sehmi J, Sennblad B, Shah N, Shah S, Shera AS, Shu XO, Shuldiner AR, Sigurđsson G, Sijbrands E, Silveira A, Sim X, Sivapalaratnam S, Small KS, So WY, Stančáková A, Stefansson K, Steinbach G, Steinthorsdottir V, Stirrups K, Strawbridge RJ, Stringham HM, Sun Q, Suo C, Syvänen AC, Takayanagi R, Takeuchi F, Tay WT, Teslovich TM, Thorand B, Thorleifsson G, Thorsteinsdottir U, Tikkanen E, Trakalo J, Tremoli E, Trip MD, Tsai FJ, Tuomi T, Tuomilehto J, Uitterlinden AG, Valladares-Salgado A, Vedantam S, Veglia F, Voight BF, Wang C, Wareham NJ, Wennauer R, Wickremasinghe AR, Wilsgaard T, Wilson JF, Wiltshire S, Winckler W, Wong TY, Wood AR, Wu JY, Wu Y, Yamamoto K, Yamauchi T, Yang M, Yengo L, Yokota M, Young R, Zabaneh D, Zhang F, Zhang R, Zheng W, Zimmet PZ, Altshuler D, Bowden DW, Cho YS, Cox NJ, Cruz M, Hanis CL, Kooner J, Lee JY, Seielstad M, Teo YY, Boehnke M, Parra EJ, Chambers JC, Tai ES, McCarthy MI, and Morris AP
- Subjects
- Alleles, Asian People genetics, Case-Control Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic or Latino genetics, Humans, Polymorphism, Single Nucleotide, Risk Factors, White People genetics, Diabetes Mellitus, Type 2 genetics
- Abstract
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
- Published
- 2014
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- View/download PDF
17. Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci.
- Author
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Kooner JS, Saleheen D, Sim X, Sehmi J, Zhang W, Frossard P, Been LF, Chia KS, Dimas AS, Hassanali N, Jafar T, Jowett JB, Li X, Radha V, Rees SD, Takeuchi F, Young R, Aung T, Basit A, Chidambaram M, Das D, Grundberg E, Hedman AK, Hydrie ZI, Islam M, Khor CC, Kowlessur S, Kristensen MM, Liju S, Lim WY, Matthews DR, Liu J, Morris AP, Nica AC, Pinidiyapathirage JM, Prokopenko I, Rasheed A, Samuel M, Shah N, Shera AS, Small KS, Suo C, Wickremasinghe AR, Wong TY, Yang M, Zhang F, Abecasis GR, Barnett AH, Caulfield M, Deloukas P, Frayling TM, Froguel P, Kato N, Katulanda P, Kelly MA, Liang J, Mohan V, Sanghera DK, Scott J, Seielstad M, Zimmet PZ, Elliott P, Teo YY, McCarthy MI, Danesh J, Tai ES, and Chambers JC
- Subjects
- Asian People genetics, Case-Control Studies, Female, Gene Expression Regulation, Genetics, Population, Genome, Human, Humans, Linkage Disequilibrium, London, Male, Pakistan, Polymorphism, Single Nucleotide, Singapore, Diabetes Mellitus, Type 2 genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Quantitative Trait Loci
- Abstract
We carried out a genome-wide association study of type-2 diabetes (T2D) in individuals of South Asian ancestry. Our discovery set included 5,561 individuals with T2D (cases) and 14,458 controls drawn from studies in London, Pakistan and Singapore. We identified 20 independent SNPs associated with T2D at P < 10(-4) for testing in a replication sample of 13,170 cases and 25,398 controls, also all of South Asian ancestry. In the combined analysis, we identified common genetic variants at six loci (GRB14, ST6GAL1, VPS26A, HMG20A, AP3S2 and HNF4A) newly associated with T2D (P = 4.1 × 10(-8) to P = 1.9 × 10(-11)). SNPs at GRB14 were also associated with insulin sensitivity (P = 5.0 × 10(-4)), and SNPs at ST6GAL1 and HNF4A were also associated with pancreatic beta-cell function (P = 0.02 and P = 0.001, respectively). Our findings provide additional insight into mechanisms underlying T2D and show the potential for new discovery from genetic association studies in South Asians, a population with increased susceptibility to T2D.
- Published
- 2011
- Full Text
- View/download PDF
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