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Xie W, Mridha MK, Gupta A, Kusuma D, Butt AM, Hasan M, Brage S, Loh M, Khawaja KI, Pradeepa R, Jha V, Kasturiratne A, Katulanda P, Anjana RM, Chambers JC.

BMC Public Health 2023;23:2465 doi: 10.1186/s12889-023-17394-w

28. Enhancing care quality and accessibility through digital technology-supported decentralisation of hypertension and diabetes management: a proof-of-concept study in rural Bangladesh

Xie W, Paul RR, Goon IY, Anan Y, Rahim A, Hossain M, Hersch F, Oldenbrug B, Chambers JC, Mridha MK.

BMJ Open 2023;13:e073743. doi: 10.1136/bmjopen-2023-073743

27. Associations of the built environment with type 2 diabetes in Asia: a systematic review

Aarthi GR, Mehreen Begum TS, Moosawi SA, Kusuma D, Ranjani H, Paradeepa R, Padma V, Mohan V, Anjana RM, Fecht D.

BMJ Open 2023;13:e065431. doi: 10.1136/bmjopen-2022-065431

26. Prevalence of and Risk Factors for Diabesity in Urban Chennai

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Journal of Diabetology 2023;14(1):34-40. doi: 10.4103/jod.jod_121_22

25. Identification of genetic effects underlying type 2 diabetes in South Asian and European populations

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24. Reference equations for evaluation of spirometry function tests in South Asia, and amongst South Asians living in other countries

Wei Yee Leong WY, Gupta A, Hasan M, Mahmood S, Siddiqui S, Ahmed S, Goon IY, Loh M, Mina TH, Lam B, Yew YW, Ngeow J, Lee J, Lee ES, Riboli E, Elliott P, Tan GP, Chotirmall SH, Wickremasinghe A R, Kooner JS, Khawaja KI, Katulanda P, Mridha MK, Jha S, Anjana RM, Pradeepa G, Kasturiratne A, Chambers JC.

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23. A saturated map of common genetic variants associated with human height

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22. A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

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21. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

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20. Food environment and diabetes mellitus in South Asia: A geospatial analysis of health outcome data

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19. Real-time diabetic retinopathy screening by deep learning in a multi-site national screening program: A prospective interventional study

Ruamviboonsuk P, Tiwari R, Sayres R, Nganthavee V, Hemarat K, Kongprayoon A, Raman R, Levinstein B, Liu Y, Schaekermann M, Lee R, Virmani S, Widner K, Chambers J, Hersch F, Peng L, Webster DR.

The Lancet Digital Health. 2022;4(4):e235-e244. doi: 10.1016/S2589-7500(22)00017-6.

18. The impact of the consumer and neighbourhood food environment on dietary intake and obesity-related outcomes: A systematic review of causal impact studies

Atanasova P, Kusuma D, Pineda E, Frost G, Sassi F, Miraldo M.

Social Science & Medicine. 2022;299:114879. doi: 10.1016/j.socscimed.2022.114879.

17. Food environments and obesity: A geospatial analysis of the South Asia Biobank, income and gender inequalities

Atanasova P, Kusuma D, Pineda E, Anjana RM, De Silva L, Hanif AAM, Hasan M, Hossain M, Indrawansa S, Jayamanne D, Jha S, Kasturiratne A, Katulanda P, Khawaja KI, Kumarendran B, Mrida MK, Rajakaruna V, Chambers JC, Frost G, Sassi F, Miraldo M

SSM-Population Health. 2022;17:101055. doi: 10.1016/j.ssmph.2022.101055.

16. Genetic variation influencing DNA methylation provides insights into molecular mechanisms regulating genomic function

Hawe JS, Wilson R, Schmid KT, Zhou L, Lakshmanan LN, Lehne BC, Kühnel B, Scott WR, Wielscher M, Yew YW, Baumbach C, Lee DP, Marouli E, Bernard M, Pfeiffer L, Matías-García PR, Autio MI, Bourgeois S, Herder C, Karhunen V, Meitinger T, Prokisch H, Rathmann W, Roden M, Sebert S, Shin J, Strauch K, Zhang W, Tan WLW, Hauck SM, Merl-Pham J, Grallert H, Barbosa EGV, MuTHER Consortium , Illig T, Peters A, Paus T, Pausova Z, Deloukas P, Foo RSY, Jarvelin MR, Kooner JS, Loh M, Heinig M, Gieger C, Waldenberger M, Chambers JC.

Nature Genetics. 2022;54:18–29. doi: 10.1038/s41588-021-00969-x.

15. The iHealth-T2D study, prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes: study protocol for a randomised controlled trial

Kasturiratne A, Khawaja KI, Ahmad S, Siddiqui S, Shahzad K, Athauda LK, Jayawardena R, Mahmood S, Muilwijk M, Batool T, Burney S, Glover M, Palaniswamy S, Bamunuarachchi V, Panda M, Madawanarachchi S, Rai B, Sattar I, Silva W, Waghdhare S, Jarvelin MR, Rannan-Eliya RP, Gage HM, van Valkengoed IGM, Valabhji J, Frost GS, Loh M, Wickremasinghe AR, Kooner JS, Katulanda P, Jha S, Chambers JC.

Trials. 2021; Dec 18;22(1):928. doi: 10.1186/s13063-021-05803-7.

14. Effects of a lifestyle intervention programme after 1 year of follow-up among South Asians at high risk of type 2 diabetes: a cluster randomised controlled trial

Muilwijk M, Loh M, Siddiqui S, Mahmood S, Palaniswamy S, Shahzad K, Athauda LK, Jayawardena R, Batool T, Burney S, Glover M, Bamunuarachchi V, Panda M, Madawanarachchi M, Rai B, Sattar I, Silva W, Waghdhare S, Jarvelin MR, Rannan-Eliya RP, Wijemunige N, Gage HM, Valabhji J, Frost GS, Wickremasinghe R, Kasturiratne A, Khawaja KI, Ahmad S, van Valkengoed IG, Katulanda P, Jha S, Kooner JS, Chambers JC.

BMJ Global Health. 2021;6(11):e006479. doi: 10.1136/bmjgh-2021-006479.

13. Prevalence and associated factors of insufficient physical activity among elderly people in Bangladesh: a nationally representative cross-sectional study

Hanif AAM, Hasan M, Khan MSA, Hossain MM, Shamim AA, Mitra DK, Hossaine M, Ullah MA, Sarker SK, Rahman SMM, Bulbul MMI, Mridha MK.

BMJ Open Sport & Exercise Medicine. 2021;7(3):e001135. doi: 10.1136/bmjsem-2021-001135.

12. Data Resource Profile: Understanding the patterns and determinants of health in South Asians-the South Asia Biobank

Song P, Gupta A, Goon IY, Hasan M, Mahmood S, Pradeepa R, Siddiqui S, Frost GS, Kusuma D, Miraldo M, Sassi F, Wareham NJ, Ahmed S, Anjana RM, Brage S, Forouhi NG, Jha S, Kasturiratne A, Katulanda P, Khawaja KI, Loh M, Mridha MK, Wickremasinghe AR, Kooner JS, Chambers JC; South Asia Biobank. Remaining authors are listed at the end of the article.

International Journal of Epidemiology. 2021;50(3):717-718e. doi: 10.1093/ije/dyab029.

11. Prevalence of and factors associated with insufficient physical activity among adolescents: evidence from a nationwide survey in Bangladesh

Hossain MM, Akter F, Hanif AAM, Khan MSA, Shamim AA, Hasan M, Urmy NJ, Hossaine M, Ullah MA, Sarker SK, Rahman SMM, Mitra DK, Bulbul MMI, Mridha MK.

Journal of Biosocial Science. 2021:1-14. doi: 10.1017/S0021932021000316.

10. Systematic review and scientific rating of commercial apps available in India for diabetes prevention

Ranjani H, Nitika S, Hariharan R, Charumeena H, Oliver N, Pradeepa R, Chambers JC, Unnikrishnan R, Mohan V, Avari PE and Anjana RM.

Journal of Diabetology. 2021;12(3):285-292. doi: 10.4103/JOD.JOD_68_21.

9. The trans-ancestral genomic architecture of glycemic traits

Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, Boutin TS, Mägi R, Waage J, Li-Gao R, Chan KHK, Yao J, Anasanti MD, Chu AY, Claringbould A, Heikkinen J, Hong J, Hottenga JJ, Huo S, Kaakinen MA, Louie T, März W, Moreno-Macias H, Ndungu A, Nelson SC, Nolte IM, North KE, Raulerson CK, Ray D, Rohde R, Rybin D, Schurmann C, Sim X, Southam L, Stewart ID, Wang CA, Wang Y, Wu P, Zhang W, Ahluwalia TS, Appel EVR, Bielak LF, Brody JA, Burtt NP, Cabrera CP, Cade BE, Chai JF, Chai X, Chang LC, Chen CH, Chen BH, Chitrala KN, Chiu YF, de Haan HG, Delgado GE, Demirkan A, Duan Q, Engmann J, Fatumo SA, Gayán J, Giulianini F, Gong JH, Gustafsson S, Hai Y, Hartwig FP, He J, Heianza Y, Huang T, Huerta-Chagoya A, Hwang MY, Jensen RA, Kawaguchi T, Kentistou KA, Kim YJ, Kleber ME, Kooner IK, Lai S, Lange LA, Langefeld CD, Lauzon M, Li M, Ligthart S, Liu J, Loh M, Long J, Lyssenko V, Mangino M, Marzi C, Montasser ME, Nag A, Nakatochi M, Noce D, Noordam R, Pistis G, Preuss M, Raffield L, Rasmussen-Torvik LJ, Rich SS, Robertson NR, Rueedi R, Ryan K, Sanna S, Saxena R, Schraut KE, Sennblad B, Setoh K, Smith AV, Sparsø T, Strawbridge RJ, Takeuchi F, Tan J, Trompet S, van den Akker E, van der Most PJ, Verweij N, Vogel M, Wang H, Wang C, Wang N, Warren HR, Wen W, Wilsgaard T, Wong A, Wood AR, Xie T, Zafarmand MH, Zhao JH, Zhao W, Amin N, Arzumanyan Z, Astrup A, Bakker SJL, Baldassarre D, Beekman M, Bergman RN, Bertoni A, Blüher M, Bonnycastle LL, Bornstein SR, Bowden DW, Cai Q, Campbell A, Campbell H, Chang YC, de Geus EJC, Dehghan A, Du S, Eiriksdottir G, Farmaki AE, Frånberg M, Fuchsberger C, Gao Y, Gjesing AP, Goel A, Han S, Hartman CA, Herder C, Hicks AA, Hsieh CH, Hsueh WA, Ichihara S, Igase M, Ikram MA, Johnson WC, Jørgensen ME, Joshi PK, Kalyani RR, Kandeel FR, Katsuya T, Khor CC, Kiess W, Kolcic I, Kuulasmaa T, Kuusisto J, Läll K, Lam K, Lawlor DA, Lee NR, Lemaitre RN, Li H, Lifelines Cohort Study , Lin SY, Lindström J, Linneberg A, Liu J, Lorenzo C, Matsubara T, Matsuda F, Mingrone G, Mooijaart S, Moon S, Nabika T, Nadkarni GN, Nadler JL, Nelis M, Neville MJ, Norris JM, Ohyagi Y, Peters A, Peyser PA, Polasek O, Qi Q, Raven D, Reilly DF, Reiner A, Rivideneira F, Roll K, Rudan I, Sabanayagam C, Sandow K, Sattar N, Schürmann A, Shi J, Stringham HM, Taylor KD, Teslovich TM, Thuesen B, Timmers PRHJ, Tremoli E, Tsai MY, Uitterlinden A, van Dam RM, van Heemst D, van Hylckama Vlieg A, van Vliet-Ostaptchouk JV, Vangipurapu J, Vestergaard H, Wang T, Willems van Dijk K, Zemunik T, Abecasis GR, Adair LS, Aguilar-Salinas CA, Alarcón-Riquelme ME, An P, Aviles-Santa L, Becker DM, Beilin LJ, Bergmann S, Bisgaard H, Black C, Boehnke M, Boerwinkle E, Böhm BO, Bønnelykke K, Boomsma DI, Bottinger EP, Buchanan TA, Canouil M, Caulfield MJ, Chambers JC, Chasman DI, Chen YI, Cheng CY, Collins FS, Correa A, Cucca F, de Silva HJ, Dedoussis G, Elmståhl S, Evans MK, Ferrannini E, Ferrucci L, Florez JC, Franks PW, Frayling TM, Froguel P, Gigante B, Goodarzi MO, Gordon-Larsen P, Grallert H, Grarup N, Grimsgaard S, Groop L, Gudnason V, Guo X, Hamsten A, Hansen T, Hayward C, Heckbert SR, Horta BL, Huang W, Ingelsson E, James PS, Jarvelin MR, Jonas JB, Jukema JW, Kaleebu P, Kaplan R, Kardia SLR, Kato N, Keinanen-Kiukaanniemi SM, Kim BJ, Kivimaki M, Koistinen HA, Kooner JS, Körner A, Kovacs P, Kuh D, Kumari M, Kutalik Z, Laakso M, Lakka TA, Launer LJ, Leander K, Li H, Lin X, Lind L, Lindgren C, Liu S, Loos RJF, Magnusson PKE, Mahajan A, Metspalu A, Mook-Kanamori DO, Mori TA, Munroe PB, Njølstad I, O’Connell JR, Oldehinkel AJ, Ong KK, Padmanabhan S, Palmer CNA, Palmer ND, Pedersen O, Pennell CE, Porteous DJ, Pramstaller PP, Province MA, Psaty BM, Qi L, Raffel LJ, Rauramaa R, Redline S, Ridker PM, Rosendaal FR, Saaristo TE, Sandhu M, Saramies J, Schneiderman N, Schwarz P, Scott LJ, Selvin E, Sever P, Shu XO, Slagboom PE, Small KS, Smith BH, Snieder H, Sofer T, Sørensen TIA, Spector TD, Stanton A, Steves CJ, Stumvoll M, Sun L, Tabara Y, Tai ES, Timpson NJ, Tönjes A, Tuomilehto J, Tusie T, Uusitupa M, van der Harst P, van Duijn C, Vitart V, Vollenweider P, Vrijkotte TGM, Wagenknecht LE, Walker M, Wang YX, Wareham NJ, Watanabe RM, Watkins H, Wei WB, Wickremasinghe AR, Willemsen G, Wilson JF, Wong TY, Wu JY, Xiang AH, Yanek LR, Yengo L, Yokota M, Zeggini E, Zheng W, Zonderman AB, Rotter JI, Gloyn AL, McCarthy MI, Dupuis J, Meigs JB, Scott RA, Prokopenko I, Leong A, Liu CT, Parker SCJ, Mohlke KL, Langenberg C, Wheeler E, Morris AP, Barroso I, Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC)

Nature Genetics. 2021;53(6):840-860. doi: 10.1038/s41588-021-00852-9.

8. Ten-years cardiovascular risk among Bangladeshi population using non-laboratory-based risk chart of the World Health Organization: Findings from a nationally representative survey

Hanif AAM, Hasan M, Khan MSA, Hossain MM, Shamim AA, Hossaine M, Ullah MA, Sarker SK, Rahman SMM, Bulbul MMI, Mitra DK, Mridha MK.

PLoS One. 2021;16(5):e0251967. doi: 10.1371/journal.pone.0251967.

7. Low uptake of COVID-19 prevention behaviours and high socioeconomic impact of lockdown measures in South Asia: Evidence from a large-scale multi-country surveillance programme

Kusuma D, Pradeepa R, Khawaja KI, Hasan M, Siddiqui S, Mahmood S, Ali Shah SM, De Silva CK, de Silva L, Gamage M, Loomba M, Rajakaruna VP, Hanif AA, Kamalesh RB, Kumarendran B, Loh M, Misra A, Tassawar A, Tyagi A, Waghdhare S, Burney S, Ahmad S, Mohan V, Sarker M, Goon IY, Kasturiratne A, Kooner JS, Katulanda P, Jha S, Anjana RM, Mridha MK, Sassi F, Chambers JC.

SSM Population Health. 2021;13:100751. doi: 10.1016/j.ssmph.2021.100751.

6. Prevalence and socio-economic determinants of inadequate dietary diversity among adolescent girls and boys in Bangladesh: findings from a nationwide cross-sectional survey

Akter F, Hossain MM, Shamim AA, Khan MSA, Hasan M, Hanif AAM, Hossaine M, Urmy NJ, Ullah MA, Sarker SK, Rahman SMM, Mitra DK, Bulbul MMI, Mridha MK.

Journal of Nutritional Science. 2021;10:e103. doi: 10.1017/jns.2021.89.

5. DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures

Gomez-Alonso M del C, Kretschmer A, Wilson R, Pfeiffer L, Karhunen V, Seppälä I, Zhang W, Mittelstraß K, Wahl S, Matias-Garcia PR, Prokisch H, Horn S, Meitinger T, Serrano-Garcia LR, Sebert S, Raitakari O, Loh M, Rathmann W, Müller-Nurasyid M, Herder C, Roden M, Hurme M, Jarvelin MR, Ala-Korpela M, Kooner JS, Peters A, Lehtimäki T, Chambers JC, Gieger C, Kettunen J, Waldenberger M

Clinical Epigenetics. 2021;13(7). doi: 10.1186/s13148-020-00957-8.

4. Use of Point-Of-Care Cholesterol Testing in Population Based Non-Communicable Disease Surveillance: Caveats and Challenges

Akbar R, Khawaja KI, Mahmood S, Goon IY, Chambers JC, Sarwar S, Shahid A, Baloch MI.

Proceedings S.Z.M.C. 2020;34(3): 4-12. doi: 10.47489/p000s343z7541-9mc.

3. Epigenome-Wide Association Study of Incident Type 2 Diabetes in a British Population: EPIC-Norfolk Study

Cardona A, Day FR, Perry JRB, Loh M, Chu AY, Lehne B, Paul DS, Lotta LA, Stewart ID, Kerrison ND, Scott RA, Khaw KT, Forouhi NG, Langenberg C, Liu C, Mendelson MM, Levy D, Beck S, Leslie RD, Dupuis J, Meigs JB, Kooner JS, Pihlajamäki J, Vaag A, Perfilyev A, Ling C, Hivert MF, Chambers JC, Wareham NJ, Ong KK.

Diabetes. 2019;68(12): 2315-2326. doi: 10.2337/db18-0290.

2. Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults

Parmer P, Lowry E, Cugliari G, Suderman M, Wilson R, Karhunen V, Andrew T, Wiklund P, Wielscher M, Guarrera S, Teumer A, Lehne B, Milani L, de Klein N, Mishra PP, Melton PE, Mandaviya PR, Kasela S, Nano J, Zhang W, Zhang Y, Uitterlinden AG, Peters A, Schöttker B, Gieger C, Anderson D, Boomsma DI, Grabe HJ, Panico S, Veldink JH, van Meurs JBJ, van den Berg L, Beilin LJ, Franke L, Loh M, van Greevenbroek MMJ, Nauck M, Kähönen M, Hurme MA, Raitakari OT, Franco OH, Slagboom PE, van der Harst P, Kunze S, Felix SB, Zhang T, Chen W, Mori TA, Bonnefond A, Heijmans BT, BIOS Consortium , Muka T, Kooner JS, Fischer K, Waldenberger M, Froguel P, Huang RC, Lehtimäki T, Rathmann W, Relton CL, Matullo G, Brenner H, Verweij N, Li S, Chambers JC, Järvelin MR, Sebert S, GLOBAL Meth QTL Consortium.

eBioMedicine. 2018;38: 206-216. doi: 10.1016/j.ebiom.2018.10.066.

1. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

Erzurumluoglu AM, Liu M, Jackson VE, Barnes DR, Datta G, Melbourne CA, Young R, Batini C, Surendran P, Jiang T, Adnan SD, Afaq S, Agrawal A, Altmaier E, Antoniou AC, Asselbergs FW, Baumbach C, Bierut L, Bertelsen S, Boehnke M, Bots ML, Brazel DM, Chambers JC, Chang-Claude J, Chen C, Corley J, Chou YL, David SP, de Boer RA, de Leeuw CA, Dennis JG, Dominiczak AF, Dunning AM, Easton DF, Eaton C, Elliott P, Evangelou E, Faul JD, Foroud T, Goate A, Gong J, Grabe HJ, Haessler J, Haiman C, Hallmans G, Hammerschlag AR, Harris SE, Hattersley A, Heath A, Hsu C, Iacono WG, Kanoni S, Kapoor M, Kaprio J, Kardia SL, Karpe F, Kontto J, Kooner JS, Kooperberg C, Kuulasmaa K, Laakso M, Lai D, Langenberg C, Le N, Lettre G, Loukola A, Luan J, Madden PAF, Mangino M, Marioni RE, Marouli E, Marten J, Martin NG, McGue M, Michailidou K, Mihailov E, Moayyeri A, Moitry M, Müller-Nurasyid M, Naheed A, Nauck M, Neville MJ, Nielsen SF, North K, Perola M, Pharoah PDP, Pistis G, Polderman TJ, Posthuma D, Poulter N, Qaiser B, Rasheed A, Reiner A, Renström F, Rice J, Rohde R, Rolandsson O, Samani NJ, Samuel M, Schlessinger D, Scholte SH, Scott RA, Sever P, Shao Y, Shrine N, Smith JA, Starr JM, Stirrups K, Stram D, Stringham HM, Tachmazidou I, Tardif JC, Thompson DJ, Tindle HA, Tragante V, Trompet S, Turcot V, Tyrrell J, Vaartjes I, van der Leij AR, van der Meer P, Varga TV, Verweij N, Völzke H, Wareham NJ, Warren HR, Weir DR, Weiss S, Wetherill L, Yaghootkar H, Yavas E, Jiang Y, Chen F, Zhan X, Zhang W, Zhao W, Zhao W, Zhou K, Amouyel P, Blankenberg S, Caulfield MJ, Chowdhury R, Cucca F, Deary IJ, Deloukas P, Di Angelantonio E, Ferrario M, Ferrières J, Franks PW, Frayling TM, Frossard P, Hall IP, Hayward C, Jansson JH, Jukema JW, Kee F, Männistö S, Metspalu A, Munroe PB, Nordestgaard BG, Palmer CNA, Salomaa V, Sattar N, Spector T, Strachan DP, Understanding Society Scientific Group, EPIC-CVD, GSCAN, Consortium for Genetics of Smoking Behaviour, CHD Exome+ consortium , van der Harst P, Zeggini E, Saleheen D, Butterworth AS, Wain LV, Abecasis GR, Danesh J, Tobin MD, Vrieze S, Liu DJ, Howson JMM.

Molecular Psychiatry. 2020;25:2392–2409. doi: 10.1038/s41380-018-0313-0.