Publications and Presentations

  1. Oakley L, Baker C, Addanki S, Walia GK, Aggarwal A, Bhogadi S, Kulkarni B, Prabhakaran D, Ben-Shlomo Y, Smith GD,  Radha Krishna KV, Gupta V Kinra S. Is increasing urbanicity associated with changes in breastfeeding duration in rural India? An analysis of cross-sectional household data from the Andhra Pradesh Children and Parents Study. BMJ Open [IF-2.5] (in press)
 
  1. Matsuzaki M, Kulkarni B, Ploubidis GB, Kuper H, Prabhakaran P, Gupta V, Walia GK,  Aggarwal A, Wells JC, Prabhakaran D,  Davey-Smith G, Radhakrishna KV, Ben-Shlomo Y, Kinra S. Association of hip bone mineral density and Body Composition in an Indian population: The Andhra Pradesh Children and Parents Study (APCAPS). PLoS ONE  [IF-3.1]
 
  1. Gupta V, Somarajan BI, Gupta S, Chaurasia AK, Kumar S, Dutta P, Gupta V, Sharma A, Tayo BO, Nischal K. The inheritance of Juvenile onset Primary Open angle glaucoma. Clinical Genetics 2016 Oct 25. doi: 10.1111/cge.12906 [IF: 3.8]
 
  1. Jones AD, Hayter AKM, Baker CP, Prabhakaran P, Gupta V, Kulkarni B, Smith GD, Ben-Shlomo Y, Radha Krishna KV, Kumar PU, Kinra S. The co-occurrence of anemia and cardiometabolic disease risk demonstrates sex-specific sociodemographic patterning in an urbanizing rural region of southern India. European Journal of Clinical Nutrition (Nature), 2016, 70(3):364-72doi:10.1038/ejcn.2015.177. [IF-2.93]
 
  1. Gupta V, Millett C, Walia GK, Kinra S, Aggarwal A, Prabhakaran P, Bhogadi S, Kumar A, Gupta R, Prabhakaran D, Reddy KS, Smith GD, Ben-Shlomo Y, Radha Krishna KV, Ebrahim S. Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh Children and Parents Study (APCAPS). Journal of Public Health (Springer), 2015, 23(3):129-36 [IF-2.0]
 
  1. Gupta V, Walia GK, Khagawat R, Ng HKT, Sachdeva MP. Familial history: a risk factor of type 2 diabetes among the “Aggarwal” population of Delhi, India. International Journal of Diabetes in Developing Countries (Springer), 2015, DOI: 10.1007/s13410-015-0345-9 [IF-0.4]
 
  1. Matsuzaki M, Kuper H, Ploubidis GB, Kulkarni B, Radhakrishna KV, Viljakainen H, Taylor AE, Prabhakaran P, Gupta V, Walia GK, Aggarwal A, Tobias JH, Wells JC, Prabhakaran D, Sarma KVR,  Smith GD, Ben-Shlomo Y, Kinra S. Adolescent undernutrition and early adulthood bone mass in an urbanizing rural community in India. Archives of Osteoporosis (Springer) 2015; 10(1): 29.  [IF: 2.3]
 
  1. Walia GK, Gupta V, Aggarwal A, Asghar M, Dudbridge F, Timpson N, Singh NS, Kumar MR, Kinra S, Prabhakaran D, Reddy KS, Chandak GR, Smith GD, Ebrahim S  et al. Association of common genetic variants with lipid traits in the Indian population. PLoS ONE, 2014, [IF-3.1]
 
  1. Kinra S, Radha Krishna KV,  Kuper H, Sarma KVR, Prabhakaran P, Gupta V, Walia GK, Bhogadi S, Kulkarni B, Kumar A, Aggarwal A, Gupta R,Prabhakaran D, Reddy KS, Davey Smith G, Ben-Shlomo Y, Ebrahim S. Cohort Profile: Andhra Pradesh Children and Parents Study (APCAPS). International journal of Epidemiology, 2014 43(5):1417-24 [IF-9.19]
 
  1. Molinari FGupta VPrabhakaran PMeiburger KMSaba LAcharya URLedda GKrishna KVWalia GKKinra SNicolaides AEbrahim SSuri JS. Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India. Conf Proc IEEE Eng Med Biol Soc. 2013:3343-3346. [IF-1.0]
 
  1. Gupta V, Vinay DG, Sovio U, Rafiq S, Kranthi Kumar MV, Janipalli CS, Evans D, Mani KR, Sandeep MN, Taylor A, Kinra S, Sullivan R, Bowen L, Timpson N, Smith GD, Dudbridge F, Prabhakaran D, Ben-Shlomo Y, Reddy KS, Ebrahim S, Chandak GR; Indian Migration Study Group. Association analysis of 25 type 2 diabetes related loci with measures of obesity in Indian sib pairs. PLoS ONE, 2013 8(1): e53944. [IF-3.1]
 
  1. Elliott HR, Walia GK, Groom A, Duggirala A, Reddy U, Chandak GR, Gupta V, Laakso M, Dekker JM, The RISC Consortium, Walker M, Ebrahim S, Smith GD and Relton CL. Migration and DNA methylation: An Indo-European comparison of methylation patterns in type 2 diabetes susceptibility genes. Journal of Diabetes -Research and Clinical Metabolism, 2013, doi: 10.7243/2050-0866-2-6
 
  1. Gupta V, Vinay DG, Rafiq S, Kranthikumar MV, Janipalli CS, Giambartolomei C, Evans DM, Mani KR, Sandeep MN, Taylor AE, Kinra S, Sullivan RM, Bowen L, Timpson NJ, Smith GD, Dudbridge F, Prabhakaran D, Ben-Shlomo Y, Reddy KS, Ebrahim S, Chandak GR; Indian Migration Study Group. Association analysis of 31 common polymorphisms with type 2 diabetes and its related traits in Indian sib pairs. Diabetologia, 2012 55(2):349-357. [IF-6.67]
 
  1. Rafiq S, Venkata KK, Gupta V, Vinay DG, Spurgeon CJ, Parameshwaran S, Madana SN, Kinra S, Bowen L, Timpson NJ, Smith GD, Dudbridge F, Prabhakaran D, Ben-Shlomo Y, Reddy KS, Ebrahim S, Chandak GR; Indian Migration Study Group. Evaluation of seven common lipid associated loci in a large Indian sib pair study. Lipids in Health and Disease, 2012 11(1):155 [IF-2.31]
 
  1. Gupta V, Khadgawat R, Ng HK, Walia GK, Kalla L, Rao VR, Sachdeva MP. Association of TCF7L2 and ADIPOQ with BMI, WHR and Systolic Blood Pressure in an Endogamous Ethnic Group of India. Genetic Testing and Molecular Biomarkers, 2012 DOI: 10.1089/gtmb.2012.0051 [IF-1.3]
 
  1. Taylor AE, Sandeep MN, Janipalli CS, Giambartolomei C, Evans DM, Kranthi Kumar MV, Vinay DG, Smitha P, Gupta V, Aruna M, Kinra S, Sullivan RM, Bowen L, Timpson NJ, Davey Smith G, Dudbridge F, Prabhakaran D, Ben-Shlomo Y, Reddy KS, Ebrahim S, Chandak GR. Associations of FTO and MC4R variants with obesity traits in Indians and the role of rural/urban environment as a possible effect modifier. Journal of Obesity, 2011 doi:10.1155/2011/307542
 
  1. Gupta VKhadgawat RNg HKKumar SAggarwal ARao VRSachdeva MP. A validation study of variants belonging to TCF7L2, HHEX, KCNJ11, and ADIPOQ genes of Type 2 Diabetes in one Endogamous Ethnic group of North India. Annals of Human Genetics, 2010, 74(4):361-368. [Ph.D. research work] [IF-1.88]
 
  1. Gupta VKhadgawat RNg HKKumar SRao VRSachdeva MP. Population Structure of Aggarwals of North India as Revealed by Molecular Markers. Genetic Testing and Molecular Biomarkers, 2010, 14(6):781-785. [IF-1.3]
 
  1. Saraswathy KNMeitei SYGupta VMurry BSachdeva MPGhosh PK. Allelic and haplotypic structure at DRD2 locus among five North Indian caste populations. American Journal of Physical Anthropology, 2010, 141(4):651-7. [IF-2.5]
 
  1. Saraswathy KNSanjenbam YMMurry BDevi KNSinha EGupta VMukhopadhyay RMohammad ANongthomban ADKhangenbam SMSachdeva MP. Population severance in Manipur at DRD2 locus. Genetic Testing and Molecular Biomarkers, 2009, 13(6): 831-839. [IF-1.3]
 
 
 
Review Articles
 
  1. Gupta V, Walia GK and Sachdeva MP. Mendelian Randomization: an approach for examining causal relations in epidemiology. Public Health, [IF-2.2]
 
  1. Walia GK, Vellekal R and Gupta V. Chronic Obstructive Pulmonary Disease and its Non-Smoking Risk Factors in India. COPD: Journal of Chronic Obstructive Pulmonary Disease, 2016, 13 (2):251-61 [IF-2.1]
 
  1. Gupta V. Genomic Efficiency of Endogamy. International Journal of Human Genetics, 2011, 11(3): 199-201
 
  1. Gupta V and Ebrahim S. Comment on: Chauhan et al. Impact of common variants of PPARG, KCNJ11, TCF7L2, SLC30A8, HHEX, CDKN2A, IGF2BP2 and CDKAL1 on the risk of type 2 diabetes in 5164 Indians. Diabetes, 2010  59:2068-2074 [IF-8.1]
 
  1. Gupta V and Sachdeva MP. Explanation of Genetic Component of Human Height by GWAS. Current Science, 2010, 98(3), February 10 edition.  [IF-0.83]
 
  1. Gupta V, Khadgawat R, Sachdeva MP. Significance of Genome-wide Association studies in Molecular Anthropology. Genetic Testing and Molecular Biomarkers, 2009 13(6):711-715. {Published as a Key Article} [IF-1.46]
 
  1. Gupta V, Saraswathy KN, Khadgawat R, Sachdeva MP. Genome-wide Association: “A Revolutionary Approach”. International Journal of Human Genetics, 2009, 9(2):97-103.
 
  1. Gupta V, Khadgawat R, Saraswathy KN, Sachdeva MP. Submicroscopic structural variations: A de novo tool in molecular anthropogenetics. Current Science, 2008, 95(4): 465-468.[IF-0.83]
 
  1. Gupta V, Khadgawat R, Saraswathy KN, Sachdeva MP, Kalla AK. Emergence of TCF7L2 as most promising gene in predisposition of Diabetes Type II. International Journal of Human Genetics, 2008, 8(1&2): 199-215.
 
  1. Gupta V. India Based Chronic Disease Fact Sheet, Chapter on Type 2 Diabetes. Currently available at SANCD website.
 
 
Book Chapter:
  1. Gupta V and Ebrahim S. Genomics of Chronic Obstructive Pulmonary Disease. In: Chronic Obstructive Pulmonary Disease. Jindal SK, Vijyan VK (editors). Delhi: Jaypee Brothers Medical Publishers (P) Ltd. World Clinics in Pulmonary and Critical Care. 2013;2(1):55-71. [ISSN: 2319-1260]
 
Global Burden of Disease Publications
 
  1. GBD 2016 Causes of Death Collaborators. Naghavi et al. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1151–210
 
  1. GBD 2016 Risk Factors Collaborators. Gakidou et al.  Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1345–422
 
  1. GBD 2016 DALYs and HALE Collaborators. Hay et al. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1260–344
 
  1. GBD 2016 Disease and Injury Incidence and Prevalence Collaborators. Vos et al. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1211–59
 
  1. GBD 2016 Mortality Collaborators. Wang et al. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1084–1150
 
  1. GBD 2016 SDG Collaborators. Fullman et al. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016. Lancet 2017; 390: 1423–59
 
  1. GBD 2015 Chronic Respiratory Disease Collaborators. Global, regional,and national deaths, prevalence, disability-adjusted life years, and years livedwith disability for chronic obstructive pulmonary disease and asthma, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Respir Med. 2017 Sep;5(9):691-706.
 
  1. GBD 2015 Eastern Mediterranean Region Obesity Collaborators. Burden of obesity in the Eastern Mediterranean Region: findings fromthe Global Burden of Disease 2015 study. Int J Public Health. 2017 Aug 3. doi: 10.1007/s00038-017-1002-5.
 
  1. GBD 2015 Healthcare Access and Quality Collaborators. Barber et al. 2017. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990-2015: a novel analysis from the Global Burden of Disease Study 2015. Lancet. 2017 May 18. pii: S0140-6736(17)30818-8.
 
  1. GBD 2015 Tobacco Collaborators. Reitsma et al. Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015. Lancet, 2017 389(10082):1885-1906.  [IF: 45]
 
  1. Wang et al. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet, 2016, 388: 1459–544 [IF: 45]
 
  1. Vos et al. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet, 2016, 388: 1545–602 [IF: 45]
 
  1. Kassebaum et al. Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet, 2016, 388: 1603–58 [IF: 45]
 
  1. Wang et al. Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet, 2016, 388: 1725–74 [IF: 45]
 
  1. Kassebaum et al. Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet, 2016, 388: 1775–812 [IF: 45]
 
  1. Mokdad et al. High fasting plasma glucose, diabetes mellitus, and its risk factors in the Eastern Mediterranean Region, 1990–2013: Findings from the Global burden of Disease study 2013. Diabetes Care, 2016 (in press) [IF: 8.1]
 
  1. Lim et al. Measuring the health-related Sustainable Development Goals in 188 countries: a baseline analysis from the Global Burden of Disease Study 2015. Lancet, 2016, 388: 1813–50  [IF: 45]
 
49.Wang et al. Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015. Lancet HIV, 2016, 3: e361–87 [IF: 8.3]