A. G. Heidema

Statistical applications in nutrigenomics : analyzing multiple genes and proteins in relation to complex diseases in humans

A. G. Heidema, Geert Heidema, 2008 .

Plasma Protein Profiling Reveals Protein Clusters Related to BMI and Insulin Levels in Middle-Aged Overweight Subjects

A. G. Heidema, E. Feskens, L. D. de Groot, 2010, PloS one.

Sex-specific effects of CNTF, IL6 and UCP2 polymorphisms on weight gain

A. G. Heidema, J. Boer, E. Mariman, 2010, Physiology & Behavior.

The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases

A. G. Heidema, A. Heidema, J. Boer, 2006, BMC Genetics.

SNP analyses of postprandial responses in (an)orexigenic hormones and feelings of hunger reveal long-term physiological adaptations to facilitate homeostasis

A. G. Heidema, E. Mariman, M. Westerterp-Plantenga, 2008, International Journal of Obesity.

Analysis of multiple SNPs in genetic association studies: comparison of three multi‐locus methods to prioritize and select SNPs

Hans C van Houwelingen, A. G. Heidema, J. Boer, 2007, Genetic epidemiology.

A framework to identify physiological responses in microarray-based gene expression studies: selection and interpretation of biologically relevant genes.

A. G. Heidema, A. Heidema, J. Boer, 2008, Physiological genomics.

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.

A. G. Heidema, A. Heidema, J. Boer, 2009, Journal of proteome research.