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Items: 1 to 20 of 369

1.

Functional status mediates the association between peripheral neuropathy and health-related quality of life in individuals with diabetes.

Riandini T, Wee HL, Khoo EYH, Tai BC, Wang W, Koh GCH, Tai ES, Tavintharan S, Chandran K, Hwang SW, Venkataraman K.

Acta Diabetol. 2017 Nov 28. doi: 10.1007/s00592-017-1077-8. [Epub ahead of print]

PMID:
29185052
2.

Profiling of Plasma Metabolites Suggests Altered Mitochondrial Fuel Usage and Remodeling of Sphingolipid Metabolism in Individuals With Type 2 Diabetes and Kidney Disease.

Liu JJ, Ghosh S, Kovalik JP, Ching J, Choi HW, Tavintharan S, Ong CN, Sum CF, Summers SA, Tai ES, Lim SC.

Kidney Int Rep. 2016 Dec 16;2(3):470-480. doi: 10.1016/j.ekir.2016.12.003. eCollection 2017 May.

3.

Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease.

Lu X, Peloso GM, Liu DJ, Wu Y, Zhang H, Zhou W, Li J, Tang CS, Dorajoo R, Li H, Long J, Guo X, Xu M, Spracklen CN, Chen Y, Liu X, Zhang Y, Khor CC, Liu J, Sun L, Wang L, Gao YT, Hu Y, Yu K, Wang Y, Cheung CYY, Wang F, Huang J, Fan Q, Cai Q, Chen S, Shi J, Yang X, Zhao W, Sheu WH, Cherny SS, He M, Feranil AB, Adair LS, Gordon-Larsen P, Du S, Varma R, Chen YI, Shu XO, Lam KSL, Wong TY, Ganesh SK, Mo Z, Hveem K, Fritsche LG, Nielsen JB, Tse HF, Huo Y, Cheng CY, Chen YE, Zheng W, Tai ES, Gao W, Lin X, Huang W, Abecasis G; GLGC Consortium, Kathiresan S, Mohlke KL, Wu T, Sham PC, Gu D, Willer CJ.

Nat Genet. 2017 Dec;49(12):1722-1730. doi: 10.1038/ng.3978. Epub 2017 Oct 30.

PMID:
29083407
4.

Role of Fat and Bone Biomarkers in the Relationship Between Ethnicity and Bone Mineral Density in Older Men.

Chan GMF, Riandini T, Ng SHX, Goh SY, Tan CS, Tai ES, Duque G, Ng AC, Venkataraman K.

Calcif Tissue Int. 2017 Oct 20. doi: 10.1007/s00223-017-0342-8. [Epub ahead of print]

PMID:
29052745
5.

Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults.

NCD Risk Factor Collaboration (NCD-RisC).

Lancet. 2017 Oct 10. pii: S0140-6736(17)32129-3. doi: 10.1016/S0140-6736(17)32129-3. [Epub ahead of print]

6.

HDL-cholesterol levels and risk of age-related macular degeneration: a multiethnic genetic study using Mendelian randomization.

Fan Q, Maranville JC, Fritsche L, Sim X, Cheung CMG, Chen LJ, Gorski M, Yamashiro K, Ahn J, Laude A, Dorajoo R, Lim TH, Teo YY, Blaustein RO, Yoshimura N, Park KH, Pang CP, Tai ES, Khor CC, Wong TY, Runz H, Cheng CY.

Int J Epidemiol. 2017 Dec 1;46(6):1891-1902. doi: 10.1093/ije/dyx189.

PMID:
29025108
7.

Estimation of kinship coefficient in structured and admixed populations using sparse sequencing data.

Dou J, Sun B, Sim X, Hughes JD, Reilly DF, Tai ES, Liu J, Wang C.

PLoS Genet. 2017 Sep 29;13(9):e1007021. doi: 10.1371/journal.pgen.1007021. eCollection 2017 Sep.

8.

Corrigendum: Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk.

Warren HR, Evangelou E, Cabrera CP, Gao H, Ren M, Mifsud B, Ntalla I, Surendran P, Liu C, Cook JP, Kraja AT, Drenos F, Loh M, Verweij N, Marten J, Karaman I, Segura Lepe MP, O'Reilly PF, Knight J, Snieder H, Kato N, He J, Tai ES, Said MA, Porteous D, Alver M, Poulter N, Farrall M, Gansevoort RT, Padmanabhan S, Mägi R, Stanton A, Connell J, Bakker SJL, Metspalu A, Shields DC, Thom S, Brown M, Sever P, Esko T, Hayward C, van der Harst P, Saleheen D, Chowdhury R, Chambers JC, Chasman DI, Chakravarti A, Newton-Cheh C, Lindgren CM, Levy D, Kooner JS, Keavney B, Tomaszewski M, Samani NJ, Howson JMM, Tobin MD, Munroe PB, Ehret GB, Wain LV; International Consortium of Blood Pressure (ICBP) 1000G Analyses, The CHD Exome+ Consortium, The ExomeBP Consortium, The T2D-GENES Consortium, The GoT2DGenes Consortium, The Cohorts for Heart and Ageing Research in Genome Epidemiology (CHARGE) BP Exome Consortium, The International Genomics of Blood Pressure (iGEN-BP) Consortium, Barnes MR, Tzoulaki I, Caulfield MJ, Elliott P; UK Biobank CardioMetabolic Consortium BP working group.

Nat Genet. 2017 Sep 27;49(10):1558. doi: 10.1038/ng1017-1558a. No abstract available.

PMID:
28951623
9.

Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study.

Sobrin L, Chong YH, Fan Q, Gan A, Stanwyck LK, Kaidonis G, Craig JE, Kim J, Liao WL, Huang YC, Lee WJ, Hung YJ, Guo X, Hai Y, Ipp E, Pollack S, Hancock H, Price A, Penman A, Mitchell P, Liew G, Smith AV, Gudnason V, Tan G, Klein BEK, Kuo J, Li X, Christiansen MW, Psaty BM, Sandow K; Asian Genetic Epidemiology Network Consortium, Jensen RA, Klein R, Cotch MF, Wang JJ, Jia Y, Chen CJ, Chen YI, Rotter JI, Tsai FJ, Hanis CL, Burdon KP, Wong TY, Cheng CY.

Diabetes. 2017 Dec;66(12):3130-3141. doi: 10.2337/db17-0398. Epub 2017 Sep 26.

PMID:
28951389
10.

Longitudinal trends in HbA1c and associations with comorbidity and all-cause mortality in Asian patients with type 2 diabetes: A cohort study.

Luo M, Lim WY, Tan CS, Ning Y, Chia KS, van Dam RM, Tang WE, Tan NC, Chen R, Tai ES, Venkataraman K.

Diabetes Res Clin Pract. 2017 Nov;133:69-77. doi: 10.1016/j.diabres.2017.08.013. Epub 2017 Aug 24.

11.

Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.

Wheeler E, Leong A, Liu CT, Hivert MF, Strawbridge RJ, Podmore C, Li M, Yao J, Sim X, Hong J, Chu AY, Zhang W, Wang X, Chen P, Maruthur NM, Porneala BC, Sharp SJ, Jia Y, Kabagambe EK, Chang LC, Chen WM, Elks CE, Evans DS, Fan Q, Giulianini F, Go MJ, Hottenga JJ, Hu Y, Jackson AU, Kanoni S, Kim YJ, Kleber ME, Ladenvall C, Lecoeur C, Lim SH, Lu Y, Mahajan A, Marzi C, Nalls MA, Navarro P, Nolte IM, Rose LM, Rybin DV, Sanna S, Shi Y, Stram DO, Takeuchi F, Tan SP, van der Most PJ, Van Vliet-Ostaptchouk JV, Wong A, Yengo L, Zhao W, Goel A, Martinez Larrad MT, Radke D, Salo P, Tanaka T, van Iperen EPA, Abecasis G, Afaq S, Alizadeh BZ, Bertoni AG, Bonnefond A, Böttcher Y, Bottinger EP, Campbell H, Carlson OD, Chen CH, Cho YS, Garvey WT, Gieger C, Goodarzi MO, Grallert H, Hamsten A, Hartman CA, Herder C, Hsiung CA, Huang J, Igase M, Isono M, Katsuya T, Khor CC, Kiess W, Kohara K, Kovacs P, Lee J, Lee WJ, Lehne B, Li H, Liu J, Lobbens S, Luan J, Lyssenko V, Meitinger T, Miki T, Miljkovic I, Moon S, Mulas A, Müller G, Müller-Nurasyid M, Nagaraja R, Nauck M, Pankow JS, Polasek O, Prokopenko I, Ramos PS, Rasmussen-Torvik L, Rathmann W, Rich SS, Robertson NR, Roden M, Roussel R, Rudan I, Scott RA, Scott WR, Sennblad B, Siscovick DS, Strauch K, Sun L, Swertz M, Tajuddin SM, Taylor KD, Teo YY, Tham YC, Tönjes A, Wareham NJ, Willemsen G, Wilsgaard T, Hingorani AD; EPIC-CVD Consortium; EPIC-InterAct Consortium; Lifelines Cohort Study, Egan J, Ferrucci L, Hovingh GK, Jula A, Kivimaki M, Kumari M, Njølstad I, Palmer CNA, Serrano Ríos M, Stumvoll M, Watkins H, Aung T, Blüher M, Boehnke M, Boomsma DI, Bornstein SR, Chambers JC, Chasman DI, Chen YI, Chen YT, Cheng CY, Cucca F, de Geus EJC, Deloukas P, Evans MK, Fornage M, Friedlander Y, Froguel P, Groop L, Gross MD, Harris TB, Hayward C, Heng CK, Ingelsson E, Kato N, Kim BJ, Koh WP, Kooner JS, Körner A, Kuh D, Kuusisto J, Laakso M, Lin X, Liu Y, Loos RJF, Magnusson PKE, März W, McCarthy MI, Oldehinkel AJ, Ong KK, Pedersen NL, Pereira MA, Peters A, Ridker PM, Sabanayagam C, Sale M, Saleheen D, Saltevo J, Schwarz PE, Sheu WHH, Snieder H, Spector TD, Tabara Y, Tuomilehto J, van Dam RM, Wilson JG, Wilson JF, Wolffenbuttel BHR, Wong TY, Wu JY, Yuan JM, Zonderman AB, Soranzo N, Guo X, Roberts DJ, Florez JC, Sladek R, Dupuis J, Morris AP, Tai ES, Selvin E, Rotter JI, Langenberg C, Barroso I, Meigs JB.

PLoS Med. 2017 Sep 12;14(9):e1002383. doi: 10.1371/journal.pmed.1002383. eCollection 2017 Sep.

12.

Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease.

Zhao W, Rasheed A, Tikkanen E, Lee JJ, Butterworth AS, Howson JMM, Assimes TL, Chowdhury R, Orho-Melander M, Damrauer S, Small A, Asma S, Imamura M, Yamauch T, Chambers JC, Chen P, Sapkota BR, Shah N, Jabeen S, Surendran P, Lu Y, Zhang W, Imran A, Abbas S, Majeed F, Trindade K, Qamar N, Mallick NH, Yaqoob Z, Saghir T, Rizvi SNH, Memon A, Rasheed SZ, Memon FU, Mehmood K, Ahmed N, Qureshi IH, Tanveer-Us-Salam, Iqbal W, Malik U, Mehra N, Kuo JZ, Sheu WH, Guo X, Hsiung CA, Juang JJ, Taylor KD, Hung YJ, Lee WJ, Quertermous T, Lee IT, Hsu CC, Bottinger EP, Ralhan S, Teo YY, Wang TD, Alam DS, Di Angelantonio E, Epstein S, Nielsen SF, Nordestgaard BG, Tybjaerg-Hansen A, Young R; CHD Exome+ Consortium, Benn M, Frikke-Schmidt R, Kamstrup PR; EPIC-CVD Consortium; EPIC-Interact Consortium; Michigan Biobank, Jukema JW, Sattar N, Smit R, Chung RH, Liang KW, Anand S, Sanghera DK, Ripatti S, Loos RJF, Kooner JS, Tai ES, Rotter JI, Chen YI, Frossard P, Maeda S, Kadowaki T, Reilly M, Pare G, Melander O, Salomaa V, Rader DJ, Danesh J, Voight BF, Saleheen D.

Nat Genet. 2017 Oct;49(10):1450-1457. doi: 10.1038/ng.3943. Epub 2017 Sep 4.

PMID:
28869590
13.

Retinal Vascular Imaging Markers and Incident Chronic Kidney Disease: A Prospective Cohort Study.

Yip W, Ong PG, Teo BW, Cheung CY, Tai ES, Cheng CY, Lamoureux E, Wong TY, Sabanayagam C.

Sci Rep. 2017 Aug 24;7(1):9374. doi: 10.1038/s41598-017-09204-2.

14.

Plasma lipoprotein subfraction concentrations are associated with lipid metabolism and age-related macular degeneration.

Cheung CMG, Gan A, Fan Q, Chee ML, Apte RS, Khor CC, Yeo I, Mathur R, Cheng CY, Wong TY, Tai ES.

J Lipid Res. 2017 Sep;58(9):1785-1796. doi: 10.1194/jlr.M073684. Epub 2017 Jul 11.

15.

Meat and Seafood Consumption in Relation to Plasma Metabolic Profiles in a Chinese Population: A Combined Untargeted and Targeted Metabolomics Study.

Lu Y, Zou L, Su J, Tai ES, Whitton C, Dam RMV, Ong CN.

Nutrients. 2017 Jun 30;9(7). pii: E683. doi: 10.3390/nu9070683.

16.

Factors associated with diabetes-related distress over time among patients with T2DM in a tertiary hospital in Singapore.

Tan ML, Tan CS, Griva K, Lee YS, Lee J, Tai ES, Khoo EY, Wee HL.

BMC Endocr Disord. 2017 Jun 23;17(1):36. doi: 10.1186/s12902-017-0184-4.

17.

SGBS cells as a model of human adipocyte browning: A comprehensive comparative study with primary human white subcutaneous adipocytes.

Yeo CR, Agrawal M, Hoon S, Shabbir A, Shrivastava MK, Huang S, Khoo CM, Chhay V, Yassin MS, Tai ES, Vidal-Puig A, Toh SA.

Sci Rep. 2017 Jun 22;7(1):4031. doi: 10.1038/s41598-017-04369-2.

18.

Dynamic Responses in Retinal Vessel Caliber With Flicker Light Stimulation and Risk of Diabetic Retinopathy and Its Progression.

Lim LS, Ling LH, Ong PG, Foulds W, Tai ES, Wong TY.

Invest Ophthalmol Vis Sci. 2017 May 1;58(5):2449-2455. doi: 10.1167/iovs.16-21008.

PMID:
28460046
19.

Glutamic acid decarboxylase and islet antigen 2 antibody profiles in people with adult-onset diabetes mellitus: a comparison between mixed ethnic populations in Singapore and Germany.

Ong YH, Koh WCA, Ng ML, Tam ZY, Lim SC, Boehm BO; Adult-Onset Autoimmune Diabetes Mellitus Consortium (ADAMS).

Diabet Med. 2017 Aug;34(8):1145-1153. doi: 10.1111/dme.13358. Epub 2017 May 22.

20.

HEART score performance in Asian and Caucasian patients presenting to the emergency department with suspected acute coronary syndrome.

de Hoog VC, Lim SH, Bank IE, Gijsberts CM, Ibrahim IB, Kuan WS, Ooi SB, Chua TS, Tai ES, Gao F, Pasterkamp G, den Ruijter HM, Doevendans PA, Wildbergh TX, Mosterd A, Richards AM, de Kleijn DP, Timmers L.

Eur Heart J Acute Cardiovasc Care. 2017 Mar 1:2048872617700870. doi: 10.1177/2048872617700870. [Epub ahead of print]

PMID:
28361582

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