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Connection

Swapan Das to Genetic Predisposition to Disease

This is a "connection" page, showing publications Swapan Das has written about Genetic Predisposition to Disease.
Connection Strength

1.901
  1. Sharma NK, Langberg KA, Mondal AK, Das SK. Phospholipid biosynthesis genes and susceptibility to obesity: analysis of expression and polymorphisms. PLoS One. 2013; 8(5):e65303.
    View in: PubMed
    Score: 0.353
  2. Mondal AK, Sharma NK, Elbein SC, Das SK. Allelic expression imbalance screening of genes in chromosome 1q21-24 region to identify functional variants for Type 2 diabetes susceptibility. Physiol Genomics. 2013 Jul 02; 45(13):509-20.
    View in: PubMed
    Score: 0.352
  3. Das SK, Elbein SC. The search for type 2 diabetes susceptibility loci: the chromosome 1q story. Curr Diab Rep. 2007 Apr; 7(2):154-64.
    View in: PubMed
    Score: 0.231
  4. Das SK, Hasstedt SJ, Zhang Z, Elbein SC. Linkage and association mapping of a chromosome 1q21-q24 type 2 diabetes susceptibility locus in northern European Caucasians. Diabetes. 2004 Feb; 53(2):492-9.
    View in: PubMed
    Score: 0.185
  5. Sajuthi SP, Sharma NK, Chou JW, Palmer ND, McWilliams DR, Beal J, Comeau ME, Ma L, Calles-Escandon J, Demons J, Rogers S, Cherry K, Menon L, Kouba E, Davis D, Burris M, Byerly SJ, Ng MC, Maruthur NM, Patel SR, Bielak LF, Lange LA, Guo X, Sale MM, Chan KH, Monda KL, Chen GK, Taylor K, Palmer C, Edwards TL, North KE, Haiman CA, Bowden DW, Freedman BI, Langefeld CD, Das SK. Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity. Hum Genet. 2016 08; 135(8):869-80.
    View in: PubMed
    Score: 0.109
  6. Hasstedt SJ, Highland HM, Elbein SC, Hanis CL, Das SK. Five linkage regions each harbor multiple type 2 diabetes genes in the African American subset of the GENNID Study. J Hum Genet. 2013 Jun; 58(6):378-83.
    View in: PubMed
    Score: 0.087
  7. Ma L, Murea M, Snipes JA, Marinelarena A, Krüger J, Hicks PJ, Langberg KA, Bostrom MA, Cooke JN, Suzuki D, Babazono T, Uzu T, Tang SC, Mondal AK, Sharma NK, Kobes S, Antinozzi PA, Davis M, Das SK, Rasouli N, Kern PA, Shores NJ, Rudel LL, Blüher M, Stumvoll M, Bowden DW, Maeda S, Parks JS, Kovacs P, Hanson RL, Baier LJ, Elbein SC, Freedman BI. An ACACB variant implicated in diabetic nephropathy associates with body mass index and gene expression in obese subjects. PLoS One. 2013; 8(2):e56193.
    View in: PubMed
    Score: 0.087
  8. Langberg KA, Ma L, Sharma NK, Hanis CL, Elbein SC, Hasstedt SJ, Das SK. Single nucleotide polymorphisms in JAZF1 and BCL11A gene are nominally associated with type 2 diabetes in African-American families from the GENNID study. J Hum Genet. 2012 Jan; 57(1):57-61.
    View in: PubMed
    Score: 0.080
  9. Das SK, Sharma NK, Elbein SC. Analysis of osteocalcin as a candidate gene for type 2 diabetes (T2D) and intermediate traits in Caucasians and African Americans. Dis Markers. 2010; 28(5):281-6.
    View in: PubMed
    Score: 0.070
  10. Das SK, Sharma NK, Chu WS, Wang H, Elbein SC. Aryl hydrocarbon receptor nuclear translocator (ARNT) gene as a positional and functional candidate for type 2 diabetes and prediabetic intermediate traits: Mutation detection, case-control studies, and gene expression analysis. BMC Med Genet. 2008 Mar 17; 9:16.
    View in: PubMed
    Score: 0.062
  11. Hasstedt SJ, Chu WS, Das SK, Wang H, Elbein SC. Type 2 diabetes susceptibility genes on chromosome 1q21-24. Ann Hum Genet. 2008 Mar; 72(Pt 2):163-9.
    View in: PubMed
    Score: 0.061
  12. Gupta B, Agrawal C, Raghav SK, Das SK, Das RH, Chaturvedi VP, Das HR. Association of mannose-binding lectin gene (MBL2) polymorphisms with rheumatoid arthritis in an Indian cohort of case-control samples. J Hum Genet. 2005; 50(11):583-591.
    View in: PubMed
    Score: 0.052
  13. Verma R, Kubendran S, Das SK, Jain S, Brahmachari SK. SYNGR1 is associated with schizophrenia and bipolar disorder in southern India. J Hum Genet. 2005; 50(12):635-40.
    View in: PubMed
    Score: 0.052
  14. Mahajan A, Spracklen CN, Zhang W, Ng MCY, Petty LE, Kitajima H, Yu GZ, Rüeger S, Speidel L, Kim YJ, Horikoshi M, Mercader JM, Taliun D, Moon S, Kwak SH, Robertson NR, Rayner NW, Loh M, Kim BJ, Chiou J, Miguel-Escalada I, Della Briotta Parolo P, Lin K, Bragg F, Preuss MH, Takeuchi F, Nano J, Guo X, Lamri A, Nakatochi M, Scott RA, Lee JJ, Huerta-Chagoya A, Graff M, Chai JF, Parra EJ, Yao J, Bielak LF, Tabara Y, Hai Y, Steinthorsdottir V, Cook JP, Kals M, Grarup N, Schmidt EM, Pan I, Sofer T, Wuttke M, Sarnowski C, Gieger C, Nousome D, Trompet S, Long J, Sun M, Tong L, Chen WM, Ahmad M, Noordam R, Lim VJY, Tam CHT, Joo YY, Chen CH, Raffield LM, Lecoeur C, Prins BP, Nicolas A, Yanek LR, Chen G, Jensen RA, Tajuddin S, Kabagambe EK, An P, Xiang AH, Choi HS, Cade BE, Tan J, Flanagan J, Abaitua F, Adair LS, Adeyemo A, Aguilar-Salinas CA, Akiyama M, Anand SS, Bertoni A, Bian Z, Bork-Jensen J, Brandslund I, Brody JA, Brummett CM, Buchanan TA, Canouil M, Chan JCN, Chang LC, Chee ML, Chen J, Chen SH, Chen YT, Chen Z, Chuang LM, Cushman M, Das SK, de Silva HJ, Dedoussis G, Dimitrov L, Doumatey AP, Du S, Duan Q, Eckardt KU, Emery LS, Evans DS, Evans MK, Fischer K, Floyd JS, Ford I, Fornage M, Franco OH, Frayling TM, Freedman BI, Fuchsberger C, Genter P, Gerstein HC, Giedraitis V, González-Villalpando C, González-Villalpando ME, Goodarzi MO, Gordon-Larsen P, Gorkin D, Gross M, Guo Y, Hackinger S, Han S, Hattersley AT, Herder C, Howard AG, Hsueh W, Huang M, Huang W, Hung YJ, Hwang MY, Hwu CM, Ichihara S, Ikram MA, Ingelsson M, Islam MT, Isono M, Jang HM, Jasmine F, Jiang G, Jonas JB, Jørgensen ME, Jørgensen T, Kamatani Y, Kandeel FR, Kasturiratne A, Katsuya T, Kaur V, Kawaguchi T, Keaton JM, Kho AN, Khor CC, Kibriya MG, Kim DH, Kohara K, Kriebel J, Kronenberg F, Kuusisto J, Läll K, Lange LA, Lee MS, Lee NR, Leong A, Li L, Li Y, Li-Gao R, Ligthart S, Lindgren CM, Linneberg A, Liu CT, Liu J, Locke AE, Louie T, Luan J, Luk AO, Luo X, Lv J, Lyssenko V, Mamakou V, Mani KR, Meitinger T, Metspalu A, Morris AD, Nadkarni GN, Nadler JL, Nalls MA, Nayak U, Nongmaithem SS, Ntalla I, Okada Y, Orozco L, Patel SR, Pereira MA, Peters A, Pirie FJ, Porneala B, Prasad G, Preissl S, Rasmussen-Torvik LJ, Reiner AP, Roden M, Rohde R, Roll K, Sabanayagam C, Sander M, Sandow K, Sattar N, Schönherr S, Schurmann C, Shahriar M, Shi J, Shin DM, Shriner D, Smith JA, So WY, Stancáková A, Stilp AM, Strauch K, Suzuki K, Takahashi A, Taylor KD, Thorand B, Thorleifsson G, Thorsteinsdottir U, Tomlinson B, Torres JM, Tsai FJ, Tuomilehto J, Tusie-Luna T, Udler MS, Valladares-Salgado A, van Dam RM, van Klinken JB, Varma R, Vujkovic M, Wacher-Rodarte N, Wheeler E, Whitsel EA, Wickremasinghe AR, van Dijk KW, Witte DR, Yajnik CS, Yamamoto K, Yamauchi T, Yengo L, Yoon K, Yu C, Yuan JM, Yusuf S, Zhang L, Zheng W. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. Nat Genet. 2022 May; 54(5):560-572.
    View in: PubMed
    Score: 0.041
  15. Taylor KD, Guo X, Zangwill LM, Liebmann JM, Girkin CA, Feldman RM, Dubiner H, Hai Y, Samuels BC, Panarelli JF, Mitchell JP, Al-Aswad LA, Park SC, Tello C, Cotliar J, Bansal R, Sidoti PA, Cioffi GA, Blumberg D, Ritch R, Bell NP, Blieden LS, Davis G, Medeiros FA, Das SK, Divers J, Langefeld CD, Palmer ND, Freedman BI, Bowden DW, Ng MCY, Ida Chen YD, Ayyagari R, Rotter JI, Weinreb RN. Genetic Architecture of Primary Open-Angle Glaucoma in Individuals of African Descent: The African Descent and Glaucoma Evaluation Study III. Ophthalmology. 2019 01; 126(1):38-48.
    View in: PubMed
    Score: 0.032
  16. Errazuriz I, Dube S, Slama M, Visentin R, Nayar S, O'Connor H, Cobelli C, Das SK, Basu A, Kremers WK, Port J, Basu R. Randomized Controlled Trial of a MUFA or Fiber-Rich Diet on Hepatic Fat in Prediabetes. J Clin Endocrinol Metab. 2017 05 01; 102(5):1765-1774.
    View in: PubMed
    Score: 0.029
  17. Mondal AK, Das SK, Baldini G, Chu WS, Sharma NK, Hackney OG, Zhao J, Grant SF, Elbein SC. Genotype and tissue-specific effects on alternative splicing of the transcription factor 7-like 2 gene in humans. J Clin Endocrinol Metab. 2010 Mar; 95(3):1450-7.
    View in: PubMed
    Score: 0.018
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.