[Influential factors of Hardy-Weinberg equilibrium on the study of association between gene polymorphism and disease].

Zhonghua Liu Xing Bing Xue Za Zhi

Department of Epidemiology, College of Public Health, Proteomics Research Center, Zhengzhou University, Zhengzhou 450001, China.

Published: November 2009

Objective: According to the data collected from gastric cancer families comparative study, the influence factors of Hardy-Weinberg (H-W) equilibrium in the association studies of gene polymorphism and disease were analyzed to reveal the reasons that affecting the equilibrium deviation in the group.

Methods: Varieties of risk genotype for gastric cancer were analyzed and detected with H-W equilibrium, genetic linkage disequilibrium analysis and Cochran-Armitage trend test.

Results: (1) Significant deviations from H-W equilibrium were observed in IL-1B-31, IL-1B-511, IL-1RN and TNF-A-308 of the cases and controls (P < 0.01). MIF-173 tended to be equilibrium in the population. (2) Deviations from expectations of phenotypes combination probability were observed in two-site H-W chi(2) tests (P < 0.01). (3) The Cochran-Armitage trend test showed that distribution of IL-1B-511 and IL-1RN were significantly different (P < 0.05), suggesting that population stratification might have existed in the group.

Conclusions: (1) Affected by frequency-dependent selection, under the combination of linkage disequilibrium, mutations and interaction, genotype frequency of IL-1B-31, IL-1B-511, IL-1RN and TNF-A-308 showed deviation from H-W equilibrium in population. (2) Two-site genetic equilibrium test model seemed better to reflect the differences of phenotypic combination fitness. (3) Population stratification was another factor to express the deviation from H-W equilibrium.

Download full-text PDF

Source

Publication Analysis

Top Keywords

h-w equilibrium
20
il-1b-511 il-1rn
12
equilibrium
9
factors hardy-weinberg
8
gene polymorphism
8
gastric cancer
8
linkage disequilibrium
8
cochran-armitage trend
8
il-1b-31 il-1b-511
8
il-1rn tnf-a-308
8

Similar Publications

Acute myeloid leukemia (AML) is one of the most common and fatal malignancies that affect adults, which can quickly become aggressive if left untreated, and leukemia cells invade the bone marrow. TLR-9 is an innate immune cell receptor sensitive to various PAMPs and encoded by the TLR-9 gene. As is often known, genetic polymorphisms in any gene can help the development of the disease, and these three polymorphisms, rs187084, rs5743836, and rs352140 of TLR-9, have been studied in many different cancer disorders.

View Article and Find Full Text PDF
Article Synopsis
  • Researchers aimed to identify ulcerative colitis (UC) patients at risk for primary sclerosing cholangitis (PSC), as PSC impacts UC outcomes.
  • A retrospective study analyzed data from multiple institutions, assessing various genetic and clinical predictors to evaluate the risk of developing PSC among UC patients.
  • Results indicated that certain genetic markers significantly increased the risk of PSC and that the study's model showed strong accuracy, potentially aiding in early identification and management of at-risk patients.
View Article and Find Full Text PDF
Article Synopsis
  • Ovarian and breast cancers are common in Jammu and Kashmir, but studies on their genetic associations, particularly the TP63 gene variant rs10937405, are scarce in this region.
  • A study involving 150 breast cancer cases, 150 ovarian cancer cases, and 210 healthy controls was conducted to evaluate the association of this gene variant using genetic testing methods.
  • Results showed no significant risk associated with the variant for either cancer type, suggesting that further research with a larger sample size is necessary to explore other variants of the TP63 gene.
View Article and Find Full Text PDF

Exposure to 2.5 µm particulate matter (PM) in automotive repair shops is associated with risks to health. We evaluated the effects of occupational exposure to PM among auto repair-shop workers.

View Article and Find Full Text PDF

In this study, the capabilities of classical and novel integrated machine learning models were investigated to predict sediment discharge (Q) in free-flow flushing. Developed models include Multivariate Linear Regression (MLR), Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), Group Method of Data Handling (GMDH), and four hybrid forms of GMDH and Support Vector Regression (SVR) in combination with Henry Gas Solubility Optimization (HGSO) and Equilibrium Optimizer (EO) algorithms. The number of 160 datasets that were applied to assess these models was extracted from the Janssen (PhD's Thesis, Engineering, Civil and Environmental Engineering.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!