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系谱数据中有序性状的基因组印记测试。

A genomic imprinting test for ordinal traits in pedigree data.

作者信息

Feng Rui, Zhang Heping

机构信息

Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.

出版信息

Genet Epidemiol. 2008 Feb;32(2):132-42. doi: 10.1002/gepi.20270.

Abstract

Genomic imprinting can lead maternally and paternally derived alleles with identical nucleotide sequences to function differently and has been found to affect the complex inheritance of a variety of human disorders. Statistical methods that differentiate the parent-of-origin effects on human diseases are available for binary traits and continuous traits. However, numerous common diseases are measured on discrete ordinal scales. Imprinting may also contribute to the complex genetic basis of these traits. In a previous study, we proposed a latent variable model and developed computationally efficient score statistic to test linkage of ordinal traits for any size pedigree while adjusting for non-genetic covariates. In this study, we extend the latent variable model to incorporate parent-of-origin information and further develop a score statistic for testing the imprinting effect in linkage analysis. We evaluated the properties of our test statistic using simulations. We then applied our method to the Collaborative Study on the Genetics of Alcoholism and found a novel locus on chromosome 18 that shows a strong signal for imprinting. In addition, we identified two loci on chromosomes 3 and 4 significantly (p<0.0001) linked with alcoholism.

摘要

基因组印记可导致具有相同核苷酸序列的母源和父源等位基因发挥不同的功能,并且已发现其会影响多种人类疾病的复杂遗传。区分亲本来源对人类疾病影响的统计方法可用于二元性状和连续性状。然而,许多常见疾病是通过离散的有序尺度来衡量的。印记也可能促成这些性状复杂的遗传基础。在之前的一项研究中,我们提出了一个潜在变量模型,并开发了计算效率高的得分统计量,以在调整非遗传协变量的同时,检验任意大小家系中有序性状的连锁关系。在本研究中,我们扩展了潜在变量模型以纳入亲本来源信息,并进一步开发了一种得分统计量,用于在连锁分析中检验印记效应。我们通过模拟评估了我们检验统计量的性质。然后我们将我们的方法应用于酒精中毒遗传学合作研究,在18号染色体上发现了一个新的位点,该位点显示出强烈的印记信号。此外,我们在3号和4号染色体上鉴定出两个与酒精中毒显著连锁(p<0.0001)的位点。

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