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A genetic risk scor...
A genetic risk score is associated with weight loss following Roux-Y gastric bypass surgery
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- Bandstein, Marcus, 1988- (author)
- Uppsala universitet,Funktionell farmakologi
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- Voisin, Sarah (author)
- Uppsala universitet,Funktionell farmakologi
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- Nilsson, Emil (author)
- Uppsala universitet,Funktionell farmakologi
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- Schultes, Bernd (author)
- eSwiss Medical & Surgical Center, Interdisciplinary Obesity Center, St. Gallen, Switzerland
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- Ernst, Barbara (author)
- eSwiss Medical & Surgical Center, Interdisciplinary Obesity Center, St. Gallen, Switzerland
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- Benedict, Christian (author)
- Uppsala universitet,Funktionell farmakologi
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- Mwinyi, Jessica (author)
- Uppsala universitet,Funktionell farmakologi
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- Schiöth, Helgi (author)
- Uppsala universitet,Funktionell farmakologi
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(creator_code:org_t)
- 2016-01-30
- 2016
- English.
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In: Obesity Surgery. - : Springer Science and Business Media LLC. - 0960-8923 .- 1708-0428. ; 26:9, s. 2183-2189
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Abstract
Subject headings
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- Currently, Roux-en Y gastric bypass (RYGB) is the most efficient therapy for severe obesity. Weight loss after surgery is, however, highly variable and genetically influenced. Genome-wide association studies have identified several single nucleotide polymorphisms (SNP) associated with body mass index (BMI) and waist-hip ratio (WHR). We aimed to identify two genetic risk scores (GRS) composed of weighted BMI and WHR-associated SNPs to estimate their impact on excess BMI loss (EBMIL) after RYGB surgery. Two hundred and thirty-eight obese patients (BMI 45.1 +/- 6.2 kg/m(2), 74 % women), who underwent RYGB, were genotyped for 35 BMI and WHR-associated SNPs and were followed up after 2 years. SNPs with high impact on post-surgical weight loss were filtered out using a random forest model. The filtered SNPs were combined into a GRS and analyzed in a linear regression model. An up to 11 % lower EBMIL with higher risk score was estimated for two GRS models (P = 0.026 resp. P = 0.021) composed of seven BMI-associated SNPs (closest genes: MC4R, TMEM160, PTBP2, NUDT3, TFAP2B, ZNF608, MAP2K5, GNPDA2, and MTCH2) and of three WHR-associated SNPs (closest genes: HOXC13, LYPLAL1, and DNM3-PIGC). Patients within the lowest GRS quartile had higher EBMIL compared to patients within the other three quartiles in both models. We identified two GRSs composed of BMI and WHR-associated SNPs with significant impact on weight loss after RYGB surgery using random forest analysis as a SNP selection tool. The GRS may be useful to pre-surgically evaluate the risks for patients undergoing RYGB surgery.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Medicinsk genetik (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Medical Genetics (hsv//eng)
Keyword
- Genetic risk score; Roux-en Y gastric bypass surgery; Obesity; Random forest model; Post-operative weight loss
- Bioinformatik
- Bioinformatics
- Epidemiology
- Epidemiologi
Publication and Content Type
- ref (subject category)
- art (subject category)
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