Psychosis Centre, Institute of Psychiatry, King's College London, London, United Kingdom.
PLoS One. 2010 Dec 2;5(12):e14186. doi: 10.1371/journal.pone.0014186.
Transmissible Spongiform Encephalopathies (TSEs) are a group of progressive fatal neurodegenerative disorders, triggered by abnormal folding of the endogenous prion protein molecule. The encoding gene is a major biological factor influencing the length of the asymptomatic period after infection. It remains unclear the extent to which the variation between quantitative trait loci (QTLs) reported in mouse models is due to methodological differences between approaches or genuine differences between traits. With this in mind, our approach to identifying genetic factors has sought to extend the linkage mapping approach traditionally applied, to a series of additional traits, while minimising methodological variability between them. Our approach allows estimations of heritability to be derived, as well as predictions to be made about possible existence of genetic overlap between the various traits.
METHODOLOGY/PRINCIPAL FINDINGS: Our data indicate a surprising degree of heritability (up to 60%). Correlations between traits are also identified. A series of QTLs on chromosomes 1, 2, 3, 4, 6, 11 and 18 accompany our heritability estimates. However, only a locus on chromosome 11 has a general effect across all 4 models explored.
CONCLUSIONS/SIGNIFICANCE: We have achieved some success in detecting novel and pre-existing QTLs associated with incubation time. However, aside from the general effects described, the model-specific nature of the broader host genetic architecture has also been brought into clearer focus. This suggests that genetic overlap can only partially account for the general heritability of incubation time when factors, such as the nature of the TSE agent and the route of administration are considered. This point is highly relevant to vCJD (a potential threat to public health) where the route of primary importance is oral, while the QTLs being sought derive exclusively from studies of the ic route. Our results highlight the limitations of a single-model approach to QTL-mapping of TSEs.
传染性海绵状脑病(TSE)是一组进行性致命的神经退行性疾病,由内源性朊病毒蛋白分子的异常折叠引发。编码基因是影响感染后无症状期长度的主要生物学因素。目前尚不清楚在小鼠模型中报告的数量性状基因座(QTL)之间的差异在多大程度上是由于方法之间的差异,或者是性状之间的真实差异。考虑到这一点,我们识别遗传因素的方法旨在将传统应用的连锁映射方法扩展到一系列额外的性状,同时最大限度地减少它们之间的方法变异性。我们的方法允许得出遗传力的估计值,并对各种性状之间可能存在遗传重叠做出预测。
方法/主要发现:我们的数据表明,遗传率(高达 60%)程度令人惊讶。还确定了性状之间的相关性。染色体 1、2、3、4、6、11 和 18 上的一系列 QTL 伴随着我们的遗传力估计。然而,只有染色体 11 上的一个基因座对探索的所有 4 种模型都有普遍影响。
结论/意义:我们在检测与潜伏期相关的新的和先前存在的 QTL 方面取得了一些成功。然而,除了描述的一般影响之外,更广泛的宿主遗传结构的模型特异性性质也更加清晰。这表明,当考虑 TSE 剂的性质和给药途径等因素时,遗传重叠只能部分解释潜伏期的一般遗传率。这一点与 vCJD(对公共健康的潜在威胁)高度相关,其中主要途径是口服,而正在寻找的 QTL 完全来自 ic 途径的研究。我们的结果强调了 TSE 的 QTL 映射的单一模型方法的局限性。