Identifying influential individuals in linkage analysis: application to a quantitative trait locus detected in the COGA data.
Identifying influential individuals in linkage analysis: application to a quantitative trait locus detected in the COGA data.
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在连锁分析中识别有影响力的个体：应用于 COGA 数据中检测到的数量性状基因座。
DOI：
10.1002/gepi.1370170744
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发表时间：
1999
期刊：
影响因子：
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通讯作者：
Birznieks,G
中科院分区：
文献类型：
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作者：
Mitchell,BD;Ghosh,S;Watanabe,RM;Slifer,SH;Hsueh,WC;Birznieks,G
一旦检测到与数量性状基因座（QTL）的连锁，定位所涉及基因的下一步可能是鉴定那些假定突变分离的家庭或个体。在本文中，我们描述了一个折刀的程序，以确定个人（和家庭）谁贡献不成比例的联系。在最初检测到与QTL的连锁之后，该策略包括从分析中依次移除每个个体（或每个家族），并使用来自所有剩余受试者（或家族）的数据重新计算与连锁区域相关的lod得分。该程序可用于确定特定观察结果是否对关联证据具有实质性影响。这些观察结果的鉴定可以为进一步定位QTL的努力提供见解。
Once linkage is detected to a quantitative trait locus (QTL), the next step towards localizing the gene involved may be to identify those families, or individuals, in whom the putative mutations are segregating. In this paper, we describe a jackknife procedure for identifying individuals (and families) who contribute disproportionately to the linkage. Following initial detection of linkage to a QTL, the strategy involves sequentially removing each individual (or each family) from the analysis and recomputing the lod score associated with the linked region using data from all remaining subjects (or families). This procedure can be used to determine if particular observations have substantial impact on evidence for linkage. Identification of such observations may provide insights for further efforts to localize the QTL.