TY  - JOUR
Y1  - 2014///
CY  - London
ID  - heidok20210
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/20210/
PB  - BioMed Central
SN  - 1753-6561
AV  - public
TI  - Practical investigation of the performance of robust logistic regression to predict the genetic risk of hypertension
JF  - BMC Proceedings
VL  - 8
IS  - S65
A1  - Kesselmeier, Miriam
A1  - Legrand, Carine
A1  - Peil, Barbara
A1  - Kabisch, Maria
A1  - Fischer, Christine
A1  - Hamann, Ute
A1  - Bermejo, Justo Lorenzo
N1  - erschienen in: BMC  Proceedings 2014, 8 (Suppl 1):S65.
From: Genetic Analysis Workshop 18, Stevenson, WA, USA. 13-17 October 2012
SP  - 1
EP  - 6
N2  - Logistic regression is usually applied to investigate the association between inherited genetic variants and a binary disease phenotype. A limitation of standard methods used to estimate the parameters of logistic regression models is their strong dependence on a few observations deviating from the majority of the data. We used data from the Genetic Analysis Workshop 18 to explore the possible benefit of robust logistic regression to estimate the genetic risk of hypertension. The comparison between standard and robust methods relied on the influence of departing hypertension profiles (outliers) on the estimated odds ratios, areas under the receiver operating characteristic curves, and clinical net benefit. Our results confirmed that single outliers may substantially affect the estimated genotype relative risks. The ranking of variants by probability values was different in standard and in robust logistic regression. For cutoff probabilities between 0.2 and 0.6, the clinical net benefit estimated by leave-one-out cross-validation in the investigated sample was slightly larger under robust regression, but the overall area under the receiver operating characteristic curve was larger for standard logistic regression. The potential advantage of robust statistics in the context of genetic association studies should be investigated in future analyses based on real and simulated data.
ER  -