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227 Publications visible to you, out of a total of 227
Association of Pro12Ala polymorphism in peroxisome proliferator-activated receptor gamma with Pre-diabetic phenotypes: meta-analysis of 57 studies on nondiabetic individuals
Genetical Statistics and Systems Biology

Abstract (Expand)

OBJECTIVE The provariant of the Pro12Ala polymorphism in peroxisome proliferator-activated receptor (PPAR)gamma has been identified as a risk allele for type 2 diabetes. The purpose of the present study …y was to reveal a significant association with pre-diabetic phenotypes in nondiabetic individuals based on a systematic meta-analysis of all available published evidence. RESEARCH DESIGN AND METHODS We performed a classical meta-analysis of data from approximately 32,000 nondiabetic subjects in 57 studies to assess the effect of the Pro12Ala polymorphism on pre-diabetic traits. RESULTS In the global comparison, there were no differences in BMI, glucose, insulin, or homeostasis model assessment of insulin resistance between the Pro/Pro and X/Ala genotype. However, in the Caucasian subgroup, the X/Ala genotype was associated with significantly increased BMI. In the obese subgroup (BMI \textgreater30 kg/m(2)), fasting glucose (P = 0.041) and insulin resistance (by homeostasis model analysis) (P = 0.020) were significantly greater in the Pro/Pro group. In subjects with the homozygous Ala/Ala genotype, fasting insulin was significantly lower compared with the Pro/Pro genotype (P = 0.040, N(Ala/Ala) = 154). CONCLUSIONS Across all studies, the Pro12Ala polymorphism had no significant effect on diabetes-related traits. Only in selected subgroups, such as Caucasians and obese subjects, did we see an association of the Ala allele with greater BMI and greater insulin sensitivity. This demonstrates the importance for appropriate stratification of analyses by environmental or other genetic factors. Meta-analysis of Ala/Ala homozygotes more clearly demonstrated the association with greater insulin sensitivity of carriers of the Ala allele.

Authors: Anke Tönjes, Markus Scholz, Markus Loeffler, Michael Stumvoll

Date Published: 25th Oct 2006

Publication Type: Journal article

Model-based design of chemotherapeutic regimens that account for heterogeneity in leucopoenia
Genetical Statistics and Systems Biology

Abstract (Expand)

Patients treated with multicycle chemotherapy can exhibit large interindividual heterogeneity of haematotoxicity. We describe how a biomathematical model of human granulopoiesis can be used to design … risk-adapted dose-dense chemotherapies, leading to more similar leucopoenias in the population. Calculations were performed on a large data set for cyclophosphamide/doxorubicin/vincristine/prednisone (CHOP)-like chemotherapies for aggressive non-Hodgkin lymphoma. Age, gender, Eastern Cooperative Oncology Group performance status, lactate dehydrogenase and the degree of leucopoenia within the first therapy cycle were used to stratify patients into groups with different expected severity of leucopoenia. We estimated risk-specific bone marrow toxicities depending on the drug doses administered. These toxicities were used to derive risk-adapted therapy schedules. We determined different doses of cyclophosphamide and additional etoposide for patients treated with CHOP-14. Alternatively, the model predicted that further reductions of cycle duration were feasible in groups with low toxicity. We also used the model to identify appropriate granulocyte colony-stimulating factor (G-CSF) schedules. In conclusion, we present a method to estimate the potential of risk-specific dose adaptation of different cytotoxic drugs in order to design chemotherapy protocols that result in decreased diversity of leucopoenia between patients, to develop dose-escalation strategies in cases of low leucopoenic reaction and to determine optimal G-CSF support.

Authors: Markus Scholz, Christoph Engel, Markus Loeffler

Date Published: 1st Mar 2006

Publication Type: Journal article

CalcDalton: a tool for multiplex genotyping primer design for single-base extension reactions using cleavable primers
Genetical Statistics and Systems Biology

Abstract

Not specified

Authors: Holger Kirsten, Steffen Dienst, Frank Emmrich, Peter Ahnert

Date Published: 2006

Publication Type: Journal article

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