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与遗传标记的连锁和关联

Linkage and association to genetic markers.

作者信息

Elston R C

机构信息

Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans 70112, USA.

出版信息

Exp Clin Immunogenet. 1995;12(3):129-40. doi: 10.1159/000424866.

Abstract

Genetic markers that are sufficiently polymorphic (as measured by their heterozygosities) can be used in linkage and association analyses to detect Mendelian segregation underlying disease phenotypes. Each type of analysis can either be based on a specific genetic model or not make any assumptions about the mode of inheritance of the disease. Principles underlying these methods are reviewed, and the assumptions underlying them stressed. Association analyses are more powerful, provided there is linkage disequilibrium between the marker and disease loci; however, only linkage analyses have power in the absence of such disequilibrium. For this reason, models that allow for both kinds of tests are preferred, and such models must adequately approximate the complexity of the disease being studied.

摘要

具有足够多态性的遗传标记(通过杂合度衡量)可用于连锁分析和关联分析,以检测疾病表型背后的孟德尔分离现象。每种分析类型既可以基于特定的遗传模型,也可以不对疾病的遗传模式做任何假设。本文回顾了这些方法的基本原理,并强调了其背后的假设。如果标记与疾病位点之间存在连锁不平衡,关联分析会更有效;然而,在不存在这种不平衡的情况下,只有连锁分析才有效。因此,同时允许两种检验的模型更受青睐,并且此类模型必须充分逼近所研究疾病的复杂性。

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