Medicine and Health Sciences Commons^™

Fto Genotype And Weight Loss: Systematic Review And Meta-Analysis Of 9563 Individual Participant Data From Eight Randomised Controlled Trials., Katherine M Livingstone, Carlos Celis-Morales, George D Papandonatos, Bahar Erar, Jose C Florez, Kathleen A Jablonski, Cristina Razquin, Amelia Marti, Yoriko Heianza, Tao Huang, Frank M Sacks, Mathilde Svendstrup, Xuemei Sui, Timothy S Church, Tiina Jääskeläinen, Jaana Lindström, Jaakko Tuomilehto, Matti Uusitupa, Tuomo Rankinen, Wim H M Saris, Torben Hansen, Oluf Pedersen, Arne Astrup, Thorkild I A Sørensen, Lu Qi, George A Bray, Miguel A Martinez-Gonzalez, J Alfredo Martinez, Paul W Franks, Jeanne M Mccaffery, Jose Lara, John C Mathers

Epidemiology Faculty Publications

OBJECTIVE: To assess the effect of the FTO genotype on weight loss after dietary, physical activity, or drug based interventions in randomised controlled trials.

DESIGN: Systematic review and random effects meta-analysis of individual participant data from randomised controlled trials.

DATA SOURCES: Ovid Medline, Scopus, Embase, and Cochrane from inception to November 2015.

ELIGIBILITY CRITERIA FOR STUDY SELECTION: Randomised controlled trials in overweight or obese adults reporting reduction in body mass index, body weight, or waist circumference by FTO genotype (rs9939609 or a proxy) after dietary, physical activity, or drug based interventions. Gene by treatment interaction models were fitted to individual …

Analysis Of Schizophrenia Data Using A Nonlinear Threshold Index Logistic Model., Zhenyu Jiang, Chengan Du, Assen Jablensky, Hua Liang, Zudi Lu, Yang Ma, Kok Lay Teo

GW Biostatistics Center

Genetic information, such as single nucleotide polymorphism (SNP) data, has been widely recognized as useful in prediction of disease risk. However, how to model the genetic data that is often categorical in disease class prediction is complex and challenging. In this paper, we propose a novel class of nonlinear threshold index logistic models to deal with the complex, nonlinear effects of categorical/discrete SNP covariates for Schizophrenia class prediction. A maximum likelihood methodology is suggested to estimate the unknown parameters in the models. Simulation studies demonstrate that the proposed methodology works viably well for moderate-size samples. The suggested approach is therefore …