Polygenic Risk Score to Predict Weight Loss Intervention in Children With Obesity
NCT ID: NCT05466097
Last Updated: 2023-09-13
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
300 participants
OBSERVATIONAL
2022-06-01
2025-07-31
Brief Summary
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Detailed Description
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The experimental design is as follows:
Obese children and adolescent subjects will undergo a 6-month weight loss intervention program and be followed for 12-18 months. The investigators will analyze obesity and fatty liver-related genes in these adolescents using next-generation gene sequencing and/or gene chips, perform polygenic risk score analysis, and use an additive model to total the number of variant loci weighted by effect size. Whole exome gene sequencing refers to the human DNA map (hg19), and Sanger sequencing will be used to confirm the correctness of the variant site.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Obesity definition: BMI \> 95% according to the age- and gender-specific standard by National Health Institute in Taiwan
* Willing to give written informed consent
Exclusion Criteria
* Major systemic diseases, including cardiopulmonary disease, renal failure, cancer, and major psychotic disorder
18 Years
ALL
No
Sponsors
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Ministry of Science and Technology, Taiwan
OTHER_GOV
Far Eastern Memorial Hospital
OTHER
Responsible Party
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Principal Investigators
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Yu-Cheng Lin,, M.D., Ph.D.
Role: PRINCIPAL_INVESTIGATOR
Far Eastern Memorial Hospital
Locations
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Far Eastern Memorial Hospital
New Taipei City, , Taiwan
Countries
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Central Contacts
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Facility Contacts
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References
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Cali AM, Caprio S. Obesity in children and adolescents. J Clin Endocrinol Metab. 2008 Nov;93(11 Suppl 1):S31-6. doi: 10.1210/jc.2008-1363.
El-Sayed Moustafa JS, Froguel P. From obesity genetics to the future of personalized obesity therapy. Nat Rev Endocrinol. 2013 Jul;9(7):402-13. doi: 10.1038/nrendo.2013.57. Epub 2013 Mar 26.
Bradfield JP, Taal HR, Timpson NJ, Scherag A, Lecoeur C, Warrington NM, Hypponen E, Holst C, Valcarcel B, Thiering E, Salem RM, Schumacher FR, Cousminer DL, Sleiman PM, Zhao J, Berkowitz RI, Vimaleswaran KS, Jarick I, Pennell CE, Evans DM, St Pourcain B, Berry DJ, Mook-Kanamori DO, Hofman A, Rivadeneira F, Uitterlinden AG, van Duijn CM, van der Valk RJ, de Jongste JC, Postma DS, Boomsma DI, Gauderman WJ, Hassanein MT, Lindgren CM, Magi R, Boreham CA, Neville CE, Moreno LA, Elliott P, Pouta A, Hartikainen AL, Li M, Raitakari O, Lehtimaki T, Eriksson JG, Palotie A, Dallongeville J, Das S, Deloukas P, McMahon G, Ring SM, Kemp JP, Buxton JL, Blakemore AI, Bustamante M, Guxens M, Hirschhorn JN, Gillman MW, Kreiner-Moller E, Bisgaard H, Gilliland FD, Heinrich J, Wheeler E, Barroso I, O'Rahilly S, Meirhaeghe A, Sorensen TI, Power C, Palmer LJ, Hinney A, Widen E, Farooqi IS, McCarthy MI, Froguel P, Meyre D, Hebebrand J, Jarvelin MR, Jaddoe VW, Smith GD, Hakonarson H, Grant SF; Early Growth Genetics Consortium. A genome-wide association meta-analysis identifies new childhood obesity loci. Nat Genet. 2012 May;44(5):526-31. doi: 10.1038/ng.2247.
Gurdasani D, Barroso I, Zeggini E, Sandhu MS. Genomics of disease risk in globally diverse populations. Nat Rev Genet. 2019 Sep;20(9):520-535. doi: 10.1038/s41576-019-0144-0. Epub 2019 Jun 24.
Holzapfel C, Sag S, Graf-Schindler J, Fischer M, Drabsch T, Illig T, Grallert H, Stecher L, Strack C, Caterson ID, Jebb SA, Hauner H, Baessler A. Association between Single Nucleotide Polymorphisms and Weight Reduction in Behavioural Interventions-A Pooled Analysis. Nutrients. 2021 Mar 2;13(3):819. doi: 10.3390/nu13030819.
Heitkamp M, Siegrist M, Molnos S, Brandmaier S, Wahl S, Langhof H, Grallert H, Halle M. Obesity Genes and Weight Loss During Lifestyle Intervention in Children With Obesity. JAMA Pediatr. 2021 Jan 1;175(1):e205142. doi: 10.1001/jamapediatrics.2020.5142. Epub 2021 Jan 4.
Herrera BM, Lindgren CM. The genetics of obesity. Curr Diab Rep. 2010 Dec;10(6):498-505. doi: 10.1007/s11892-010-0153-z.
Walley AJ, Asher JE, Froguel P. The genetic contribution to non-syndromic human obesity. Nat Rev Genet. 2009 Jul;10(7):431-42. doi: 10.1038/nrg2594.
Wand H, Lambert SA, Tamburro C, Iacocca MA, O'Sullivan JW, Sillari C, Kullo IJ, Rowley R, Dron JS, Brockman D, Venner E, McCarthy MI, Antoniou AC, Easton DF, Hegele RA, Khera AV, Chatterjee N, Kooperberg C, Edwards K, Vlessis K, Kinnear K, Danesh JN, Parkinson H, Ramos EM, Roberts MC, Ormond KE, Khoury MJ, Janssens ACJW, Goddard KAB, Kraft P, MacArthur JAL, Inouye M, Wojcik GL. Improving reporting standards for polygenic scores in risk prediction studies. Nature. 2021 Mar;591(7849):211-219. doi: 10.1038/s41586-021-03243-6. Epub 2021 Mar 10.
Eddowes PJ, Sasso M, Allison M, Tsochatzis E, Anstee QM, Sheridan D, Guha IN, Cobbold JF, Deeks JJ, Paradis V, Bedossa P, Newsome PN. Accuracy of FibroScan Controlled Attenuation Parameter and Liver Stiffness Measurement in Assessing Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease. Gastroenterology. 2019 May;156(6):1717-1730. doi: 10.1053/j.gastro.2019.01.042. Epub 2019 Jan 25.
Khera AV, Chaffin M, Wade KH, Zahid S, Brancale J, Xia R, Distefano M, Senol-Cosar O, Haas ME, Bick A, Aragam KG, Lander ES, Smith GD, Mason-Suares H, Fornage M, Lebo M, Timpson NJ, Kaplan LM, Kathiresan S. Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood. Cell. 2019 Apr 18;177(3):587-596.e9. doi: 10.1016/j.cell.2019.03.028.
Ford AL, Hunt LP, Cooper A, Shield JP. What reduction in BMI SDS is required in obese adolescents to improve body composition and cardiometabolic health? Arch Dis Child. 2010 Apr;95(4):256-61. doi: 10.1136/adc.2009.165340. Epub 2009 Dec 4.
Sun C, Kovacs P, Guiu-Jurado E. Genetics of Obesity in East Asians. Front Genet. 2020 Oct 20;11:575049. doi: 10.3389/fgene.2020.575049. eCollection 2020.
Related Links
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From obesity genetics to the future of personalized obesity therapy
A genome-wide association meta-analysis identifies new childhood obesity loci
Genomics of disease risk in globally diverse populations
The genetics of obesity
The genetic contribution to non-syndromic human obesity
Improving reporting standards for polygenic scores in risk prediction studies
Accuracy of FibroScan Controlled Attenuation Parameter and Liver Stiffness Measurement in Assessing Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease. Gastroenterology
Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood
What reduction in BMI SDS is required in obese adolescents to improve body composition and cardiometabolic health?
Genetics of Obesity in East Asians
Other Identifiers
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111078-F
Identifier Type: -
Identifier Source: org_study_id
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