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Journals and Conferences
Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ∼ 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14… (More)
Obesity is globally prevalent and highly heritable, but the underlying genetic factors remain largely elusive. To identify genetic loci for obesity-susceptibility, we examined associations between body mass index (BMI) and ~2.8 million SNPs in up to 123,865 individuals, with targeted follow-up of 42 SNPs in up to 125,931 additional individuals. We confirmed… (More)
We present approximation kernels for orthogonal expansions with respect to Bernstein-Szegö polynomials. The construction is derived from known results for Chebyshev polynomials of the first kind and does not pose any restrictions on the Bernstein-Szegö polynomials.
We present a stochastic model for single cell gel electrophoresis (COMET-assay) data. The distribution of length of DNA fragments is calculated according to a ’Random Breakage Model’ and the migration of DNA fragments among gel fibers is discussed. Essential to our approach is the use of point process structures, renewal theory and reduction to intensity… (More)
A population genetic model is used to describe dynamical aspects of chromosomal abberations observed in M-FISH experiments. Linear differential equations model the evolution of relative frequencies of mutations. The unknown parameters involved are estimated by maximum likelihood methods. We propose a scoring system to select the most important mutations. In… (More)
Positive definite matrices structured by orthogonal polynomial systems allow a Cholesky type decomposition of their inverse matrices in O(n2) steps. The algorithm presented in this paper uses the three-term recursion coefficients and the mixed moments of the involved polynomials.