Search Results - "Heidema, A Geert"
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The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases
Published in BMC genetics (21-04-2006)“…Genetic epidemiologists have taken the challenge to identify genetic polymorphisms involved in the development of diseases. Many have collected data on large…”
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Plasma protein profiling reveals protein clusters related to BMI and insulin levels in middle-aged overweight subjects
Published in PloS one (23-12-2010)“…Biomarkers that allow detection of the onset of disease are of high interest since early detection would allow intervening with lifestyle and nutritional…”
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Sex-specific effects of CNTF, IL6 and UCP2 polymorphisms on weight gain
Published in Physiology & behavior (12-01-2010)“…Abstract The human proteins ciliary neurotrophic factor (CNTF) and interleukin-6 (IL6) and their receptors share structural homology with leptin and its…”
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The Association of 83 Plasma Proteins with CHD Mortality, BMI, HDL-, and Total-Cholesterol in Men: Applying Multivariate Statistics To Identify Proteins with Prognostic Value and Biological Relevance
Published in Journal of proteome research (05-06-2009)“…In this study, we applied the multivariate statistical tool Partial Least Squares (PLS) to analyze the relative importance of 83 plasma proteins in relation to…”
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A framework to identify physiological responses in microarray-based gene expression studies: selection and interpretation of biologically relevant genes
Published in Physiological genomics (14-03-2008)“…1 TI Food and Nutrition, Wageningen, The Netherlands 2 RIKILT-Institute of Food Safety, Wageningen, The Netherlands 3 NIZO Food Research, Ede, The Netherlands…”
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Analysis of multiple SNPs in genetic association studies: comparison of three multi-locus methods to prioritize and select SNPs
Published in Genetic epidemiology (01-12-2007)“…Nonparametric approaches have been developed that are able to analyze large numbers of single nucleotide polymorphisms (SNPs) in modest sample sizes. These…”
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Developing a discrimination rule between breast cancer patients and controls using proteomics mass spectrometric data: a three-step approach
Published in Statistical applications in genetics and molecular biology (01-01-2008)“…To discriminate between breast cancer patients and controls, we used a three-step approach to obtain our decision rule. First, we ranked the mass/charge values…”
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