Risch N
Am J Hum Genet. 1984 Mar;36(2):363-86.
A method is described for segregation analysis that incorporates linkage markers. The model allows for segregation (penetrance), linkage (recombination fraction), and association (linkage disequilibrium) parameters. A single-locus-multiple-allele model underlying the trait phenotype is assumed. When families have been ascertained in a systematic fashion, a joint (markers, phenotypes) likelihood with ascertainment is advocated. When ascertainment correction is not feasible, a conditional (markers given phenotypes) approach is recommended, which is also valid in the presence of reduced fertility and assortative mating. This approach, oriented toward determining mode of inheritance, differs from conventional linkage analysis, which is oriented toward detection of linkage. Therefore, it is more appropriately considered an extension of the affected sib-pair method to arbitrary pedigrees, including association information and allowing for multiple alleles. Incorporation of coupling parameters allows for discrimination between pleiotropy and linkage disequilibrium. The method is demonstrated through a reanalysis of four recently published family studies on type 1 diabetes and HLA. Recessive inheritance is rejected in all four data sets. For three of them, dominant inheritance is not rejected, while in the fourth, all two-allele models are rejected in favor of three alleles. Although association with the DR3 and DR4 alleles is quite strong, pleiotropy with regard to these alleles is unlikely. The results also suggest an additional familial factor(s) (e.g., locus).
描述了一种用于包含连锁标记的分离分析方法。该模型考虑了分离(外显率)、连锁(重组率)和关联(连锁不平衡)参数。假设性状表型基于单基因座多等位基因模型。当以系统方式确定家系时,提倡使用带有确定因素的联合(标记、表型)似然性。当确定校正不可行时,建议采用条件(给定表型的标记)方法,该方法在生育力降低和选型交配存在的情况下也有效。这种旨在确定遗传模式的方法不同于传统的连锁分析,传统连锁分析旨在检测连锁。因此,它更适合被视为将患病同胞对方法扩展到任意家系,包括关联信息并允许多等位基因。纳入耦合参数允许区分多效性和连锁不平衡。通过对最近发表的四项关于1型糖尿病和HLA的家族研究进行重新分析来证明该方法。在所有四个数据集中隐性遗传均被拒绝。其中三个数据集,显性遗传未被拒绝,而在第四个数据集中,所有双等位基因模型均被拒绝,支持三等位基因模型。尽管与DR3和DR4等位基因的关联很强,但这些等位基因的多效性不太可能。结果还表明存在其他家族因素(例如基因座)。