最大全基因组连锁不平衡（HLOD）检验检测与肥胖基因连锁的效能。

Power of maximum HLOD tests to detect linkage to obesity genes.

作者信息

Yoo Yun Joo, Huo Yanling, Ning Yuming, Gordon Derek, Finch Stephen, Mendell Nancy R

机构信息

Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, Stony Brook, New York, USA.

出版信息

BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S16. doi: 10.1186/1471-2156-4-S1-S16.

DOI:10.1186/1471-2156-4-S1-S16

PMID:14975084

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1866450/

Abstract

BACKGROUND

We investigate the power of heterogeneity LOD test to detect linkage when a trait is determined by several major genes using Genetic Analysis Workshop 13 simulated data. We consider three traits, two of which are disease-causing traits: 1) the rate of change in body mass index (BMI); and 2) the maximum BMI; and 3) the disease itself (hypertension). Of interest is the power of "HLOD2", the maximum heterogeneity LOD obtained upon maximizing over the two genetic models.

RESULTS

Using a trait phenotype Obesity Slope, we observe that the power to detect the two markers closest to the two genes (S1, S2) at the 0.05 level using HLOD2 is 13% and 10%. The power of HLOD2 for Max BMI phenotype is 12% and 9%. The corresponding values for the Hypertension phenotype are 8% and 6%.

CONCLUSION

The power to detect linkage to the slope genes is quite low. But the power using disease-related traits as a phenotype is greater than the power using the disease (hypertension) phenotype.

摘要

背景

我们使用遗传分析研讨会13的模拟数据，研究当一个性状由多个主基因决定时，异质性LOD检验检测连锁的效能。我们考虑三个性状，其中两个是致病性状：1）体重指数（BMI）的变化率；2）最大BMI；3）疾病本身（高血压）。我们感兴趣的是“HLOD2”的效能，即通过对两种遗传模型进行最大化得到的最大异质性LOD。