SCHIZOPHRENIA--RELATED TRAITS

描述(改编自申请人的摘要)： 低复发风险和非孟德尔模式阻碍了精神分裂症 变速箱。尽管精神分裂症本身并不具有很强的渗透性， 与精神分裂症相关的特征，并且发生在更高的 精神分裂症患者亲属的比率可以作为有用的指标 精神分裂症基因(S)的连锁分析。其中最突出的是 相关的特征是眼球跟踪功能障碍，思维障碍， 头面部畸形及相关的临床体征和症状 精神分裂症的谱系。调查人员提议最大限度地 通过定位这些更普遍的相关基因来区分不同的基因 数量性状，而不是依赖于一种要么全有要么全无的疾病 表型。因为这一策略基于做作的特征 比精神分裂症更高的遗传信号，研究人员预计它 将增加连锁分析的能力。调查人员将使用 非参数和依赖于模型的方法来测试 包含160-208个同级对组合的样本。它们将包括 Haseman-Elston方法和Lod评分的最新改进 分析。他们将使用判别函数作为数量表型。 他们将扫描整个基因组，寻找与个体有关的证据 数量表型和数量表型组合 使用10 cM或10 cM的地图，输入信息量高的多等位基因标记 较少。评价基因组学结果的稳健统计方法 扫描将被开发出来。

DESCRIPTION (adapted from applicant's abstract): Linkage studies of schizophrenia are hampered by low recurrence risk and a non-Mendelian mode of transmission. Although schizophrenia itself is not highly penetrant, traits that are associated with schizophrenia and that occur at a higher rate in relatives of schizophrenics could serve as useful pointers to the gene(s) for schizophrenia in linkage analysis. Prominent among these associated traits are eye tracking dysfunction, thought disorder, craniofacial dysmorphology, and clinical signs and symptoms associated with the schizophrenia spectrum. The investigators propose to maximize discrimination among genotypes by mapping these more prevalent associated quantitative traits, rather than relying on an all-or-none disease phenotype. Because this strategy bases affectedness on traits that have a higher genetic signal than schizophrenia, the investigators expect that it will increase the power of linkage analysis. The investigators will use both nonparametric and model-dependent methods to test for linkage in a sample comprising 160-208 sibling pair combinations. They will include recent modifications of the Haseman-Elston method as well as lod score analysis. They will use discriminant functions as quantitative phenotypes. They will scan the entire genome for evidence of linkage to individual quantitative phenotypes and combinations of quantitative phenotypes by typing highly informative multi-allele markers, using a map of 10 cM or less. Robust statistical methods for evaluating the results of genomic scans will be developed.