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通过正态混合对显性标记系统的条带数据进行共显性分析。

Codominant analysis of banding data from a dominant marker system by normal mixtures.

作者信息

Piepho H P, Koch G

机构信息

Institut für Nutzpflanzenkunde, Universität-Gesamthochschule Kassel, 37213 Witzenhausen, Germany.

出版信息

Genetics. 2000 Jul;155(3):1459-68. doi: 10.1093/genetics/155.3.1459.

DOI:10.1093/genetics/155.3.1459
PMID:10880503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1461148/
Abstract

Amplified fragment length polymorphisms (AFLPs) currently are among the most widely used marker systems. In many studies, AFLPs are analyzed on the basis of the presence or absence of a band on an electrophoretic gel. As a result, dominant homozygous individuals are not distinguished from heterozygous individuals, resulting in a considerable loss of information. This article shows how codominant information can be obtained if the amount of PCR products is quantified. Due to measurement variation, genotyping on the basis of such information is not error-free. We propose use of normal mixture distributions to determine the most likely genotype, given the data. The method is exemplified using AFLP data from sugar beet.

摘要

扩增片段长度多态性(AFLP)目前是应用最为广泛的标记系统之一。在许多研究中,AFLP是根据电泳凝胶上条带的有无来分析的。因此,显性纯合个体与杂合个体无法区分,导致大量信息丢失。本文展示了如果对PCR产物的量进行定量,如何获得共显性信息。由于测量误差,基于此类信息的基因分型并非完全无误。我们建议使用正态混合分布,根据数据确定最可能的基因型。该方法以甜菜的AFLP数据为例进行了说明。

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本文引用的文献

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Analysis of tomato root initiation using a normal mixture distribution.使用正态混合分布分析番茄根系起始情况。
Biometrics. 1995 Dec;51(4):1461-8.