MacLean C J, Morton N E, Lew R
Genet Epidemiol. 1985;2(2):145-54. doi: 10.1002/gepi.1370020205.
The problem of compact, fully efficient representation of multilocus data has not yet been solved. Lod scores can be used to map multilocus data, but because of certain statistical problems, this method loses some information. However, simulation studies show that for distances less than 10 or 20 cMo, where there is little danger of huge overestimates of distance, the lod score method yields estimators just as good as maximum likelihood (ML). Since short distances are the most important, the lod method is quite efficient. Its main drawback is misrepresentation of the likelihood under wrong gene orders. This problem can be ameliorated with a single multipoint calculation under each order. Thus, representation of multipoint data with lod scores can be very practical.
多位点数据紧凑、高效表示的问题尚未得到解决。连锁对数计分（Lod）可用于多位点数据的定位，但由于某些统计问题，该方法会丢失一些信息。然而，模拟研究表明，对于小于10或20厘摩（cMo）的距离，由于距离被大幅高估的风险较小，Lod计分法产生的估计值与最大似然法（ML）一样好。由于短距离最为重要，Lod方法相当有效。其主要缺点是在错误的基因顺序下对似然性的错误表述。在每个顺序下进行一次多点计算可以改善这个问题。因此，用Lod计分表示多点数据可能非常实用。
