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1
A new statistical test for linkage heterogeneity.一种用于连锁异质性的新统计检验方法。
Am J Hum Genet. 1988 Feb;42(2):353-64.
2
Genetic linkage heterogeneity in the fragile X syndrome.脆性X综合征中的遗传连锁异质性。
Hum Genet. 1985;71(1):11-8. doi: 10.1007/BF00295659.
3
A bootstrap approach to estimating power for linkage heterogeneity.一种用于估计连锁异质性效能的自助法。
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4
Linkage analysis and family classification under heterogeneity.异质性下的连锁分析与家系分类
Ann Hum Genet. 1983 Oct;47(4):311-20. doi: 10.1111/j.1469-1809.1983.tb01001.x.
5
Multipoint linkage detection in the presence of heterogeneity.存在基因异质性情况下的多点连锁检测
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6
Further evidence for genetic heterogeneity in the fragile X syndrome.脆性X综合征基因异质性的进一步证据。
Hum Genet. 1987 Apr;75(4):311-21. doi: 10.1007/BF00284100.
7
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8
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Linkage analysis using multiple DNA polymorphic markers in normal families and in families with fragile X syndrome.在正常家庭和患有脆性X综合征的家庭中使用多个DNA多态性标记进行连锁分析。
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Subsets of Finns with high HDL to total cholesterol ratio show evidence for linkage to type 2 diabetes on chromosome 6q.高密度脂蛋白与总胆固醇比值较高的芬兰人群子集显示出与6号染色体上2型糖尿病存在连锁的证据。
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Comparative recombination distances among Zea mays L. inbreds, wide crosses and interspecific hybrids.玉米自交系、远缘杂交种和种间杂种之间的比较重组距离。
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10
A combined test of linkage heterogeneity.连锁异质性的联合检验。
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本文引用的文献

1
TESTING FOR HETEROGENEITY OF RECOMBINATION FRACTION VALUES IN HUMAN GENETICS.人类遗传学中重组率值的异质性检验
Ann Hum Genet. 1963 Nov;27:175-82. doi: 10.1111/j.1469-1809.1963.tb00210.x.
2
The detection and estimation of linkage between the genes for elliptocytosis and the Rh blood type.椭圆形红细胞增多症基因与Rh血型之间连锁关系的检测与评估。
Am J Hum Genet. 1956 Jun;8(2):80-96.
3
X-linkage and genetic heterogeneity in bipolar-related major affective illness: reanalysis of linkage data.双相情感障碍相关重度情感性疾病中的X连锁与遗传异质性:连锁数据的重新分析
Ann Hum Genet. 1982 May;46(2):153-66. doi: 10.1111/j.1469-1809.1982.tb00706.x.
4
The search for heterogeneity in insulin-dependent diabetes mellitus (IDDM): linkage studies, two-locus models, and genetic heterogeneity.胰岛素依赖型糖尿病(IDDM)异质性的研究:连锁研究、双基因座模型与遗传异质性
Am J Hum Genet. 1983 Nov;35(6):1139-55.
5
Further evidence for genetic heterogeneity in the fragile X syndrome.脆性X综合征基因异质性的进一步证据。
Hum Genet. 1987 Apr;75(4):311-21. doi: 10.1007/BF00284100.
6
Counting methods (EM algorithm) in human pedigree analysis: linkage and segregation analysis.人类谱系分析中的计数方法(期望最大化算法):连锁与分离分析
Ann Hum Genet. 1977 May;40(4):443-54.
7
Variability of human linkage data.人类连锁数据的变异性。
Am J Hum Genet. 1978 Sep;30(5):516-29.

一种用于连锁异质性的新统计检验方法。

A new statistical test for linkage heterogeneity.

作者信息

Risch N

机构信息

Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06510.

出版信息

Am J Hum Genet. 1988 Feb;42(2):353-64.

PMID:3341384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1715251/
Abstract

A new, statistical test for linkage heterogeneity is described. It is a likelihood-ratio test based on a beta distribution for the prior distribution of the recombination fraction among families (or individuals). The null distribution for this statistic (called the B-test) is derived under a broad range of circumstances. Two other heterogeneity test statistics--the admixture test or A-test first described by Smith and Morton's test (here referred to as the K-test)--are also examined. The probability distribution for the K-test statistic is very sensitive to family size, whereas the other two statistics are not. All three statistics are somewhat sensitive to the magnitude of the recombination fraction theta. Critical values for each of the test statistics are given. A conservative approximation for both the A-test and B-test is given by a chi 2 distribution when P/2 instead of P is used for the observed significance level. In terms of power, the B-test performs best among the three tests over a broad range of alternate heterogeneity hypotheses--except for the specific case of admixture with loose linkage, in which the A-test performs best. Overall, the difference in power among the three tests is not large. An application to some recently published data on the fragile-X syndrome and X-chromosome markers is given.

摘要

本文描述了一种用于连锁异质性的新型统计检验方法。它是一种基于β分布的似然比检验,用于家庭(或个体)间重组率的先验分布。在此广泛情形下推导出该统计量(称为B检验)的零分布。还研究了另外两种异质性检验统计量——首先由史密斯和莫顿描述的混合检验或A检验(此处称为K检验)。K检验统计量的概率分布对家庭规模非常敏感,而其他两种统计量则不然。所有这三种统计量对重组率θ的大小都有些敏感。给出了每个检验统计量的临界值。当使用P/2而非P作为观察到的显著性水平时,A检验和B检验的保守近似值由卡方分布给出。在功效方面,在广泛的替代异质性假设中,B检验在这三种检验中表现最佳——除了松散连锁混合的特定情况,在这种情况下A检验表现最佳。总体而言,这三种检验在功效上的差异不大。给出了其在一些最近发表的关于脆性X综合征和X染色体标记数据中的应用。