Cardon L R, Fulker D W, Cherny S S
Sequana Therapeutics, Inc., La Jolla, CA 92037, USA.
Genet Epidemiol. 1995;12(6):741-6. doi: 10.1002/gepi.1370120635.
Sib pairs drawn from the simulated common oligogenic disease families were selected for extreme quantitative trait scores and analyzed using interval mapping and multipoint methods. Linkage analyses of 112 selected sib pairs, in which one or more members had trait values exceeding the disease threshold, were compared with analyses of the total unselected sib-pair sample (771 pairs). Selected sample regression models yielded comparable significance levels to those obtained from the unselected sample at most loci on the six simulated chromosomes, demonstrating the efficiency of selected sib-pair analysis for quantitative characters. Two of the three disease QTLs were detected in both selected and unselected samples. Interval mapping and multipoint analyses yielded location estimates close to the simulated positions of the QTLs. The combined strategy of using interval mapping and multipoint methods with selected sib pairs appears to provide improved accuracy and sensitivity over more traditional sib-pair methods for detecting quantitative trait loci.
从模拟的常见寡基因疾病家族中选取具有极端数量性状分数的同胞对，并使用区间定位和多点方法进行分析。对112对选定的同胞对进行连锁分析，其中一个或多个成员的性状值超过疾病阈值，并与未选定的同胞对总样本（771对）的分析结果进行比较。在六条模拟染色体的大多数位点上，选定样本回归模型产生的显著性水平与从未选定样本中获得的相当，这表明选定同胞对分析对于数量性状的有效性。在选定和未选定样本中均检测到三个疾病QTL中的两个。区间定位和多点分析产生的位置估计接近QTL的模拟位置。与更传统的同胞对方法相比，使用区间定位和多点方法结合选定同胞对的联合策略似乎在检测数量性状位点方面提供了更高的准确性和灵敏度。
