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确定性调整:它将把我们带向何方?

Ascertainment adjustment: where does it take us?

作者信息

Burton P R, Palmer L J, Jacobs K, Keen K J, Olson J M, Elston R C

机构信息

Genetic Epidemiology Unit, Department of Epidemiology and Public Health, University of Leicester, United Kingdom.

出版信息

Am J Hum Genet. 2000 Dec;67(6):1505-14. doi: 10.1086/316899. Epub 2000 Nov 14.

DOI:10.1086/316899
PMID:11078478
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1287927/
Abstract

It is commonly assumed that the parameter estimates of a statistical genetics model that has been adjusted for ascertainment will estimate parameters in the general population from which the ascertained subpopulation was originally drawn. We show that this is true only in certain restricted circumstances. More generally, ascertainment-adjusted parameter estimates reflect parameters in the ascertained subpopulation. In many situations, this shift in perspective is immaterial: the parameters of interest are the same in the ascertained sample and in the population from which it was drawn, and it is therefore irrelevant to which population inferences are presumed to apply. In other circumstances, however, this is not so. This has important implications, particularly for studies investigating the etiology of complex diseases.

摘要

人们通常认为,经过校正以考虑样本选择偏倚的统计遗传学模型的参数估计值,能够估计出最初从中抽取样本的总体人群中的参数。我们证明,只有在某些特定的受限情况下才是如此。更一般地说,经过校正以考虑样本选择偏倚的参数估计值反映的是样本中的参数。在许多情况下,这种视角的转变并不重要:感兴趣的参数在样本及其所抽取的总体中是相同的,因此推断适用于哪个总体并不相关。然而,在其他情况下并非如此。这具有重要意义,特别是对于研究复杂疾病病因的研究而言。

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本文引用的文献

1
Genetic variance components analysis for binary phenotypes using generalized linear mixed models (GLMMs) and Gibbs sampling.使用广义线性混合模型(GLMMs)和吉布斯采样对二元表型进行遗传方差成分分析。
Genet Epidemiol. 1999;17(2):118-40. doi: 10.1002/(SICI)1098-2272(1999)17:2<118::AID-GEPI3>3.0.CO;2-V.
2
Helping doctors to draw appropriate inferences from the analysis of medical studies.帮助医生从医学研究分析中得出恰当的推论。
Stat Med. 1994 Sep 15;13(17):1699-713. doi: 10.1002/sim.4780131702.
3
Inherent intractability of the ascertainment problem for pedigree data: a general likelihood framework.系谱数据确定问题的内在难处理性:一个通用似然框架。
Am J Hum Genet. 1995 Jan;56(1):33-43.
4
'Twixt cup and lip: how intractable is the ascertainment problem?介于杯与唇之间:确定性问题有多棘手?
Am J Hum Genet. 1995 Jan;56(1):15-7.
5
Complex segregation analysis with pointers.使用指针的复杂分离分析。
Hum Hered. 1981;31(5):312-21. doi: 10.1159/000153231.
6
A simple method of estimating the segregation ratio under complete ascertainment.一种在完全确诊情况下估算分离比的简单方法。
Am J Hum Genet. 1968 Jan;20(1):61-81.
7
The heterogeneity problem. I: Separating genetic from environmental forms of the same disease.异质性问题。I:区分同一疾病的遗传形式与环境形式。
Am J Med Genet. 1985 Jun;21(2):357-71. doi: 10.1002/ajmg.1320210219.
8
A resolution of the ascertainment sampling problem. I. Theory.确定抽样问题的一种解决方案。I. 理论
Theor Popul Biol. 1986 Dec;30(3):388-412. doi: 10.1016/0040-5809(86)90042-0.
9
Conditioning on subsets of the data: applications to ascertainment and other genetic problems.基于数据子集的条件设定:在确诊及其他遗传问题中的应用
Am J Hum Genet. 1988 Oct;43(4):364-73.
10
Sampling considerations in the gathering and analysis of pedigree data.系谱数据收集与分析中的抽样考量
Am J Hum Genet. 1979 Jan;31(1):62-9.