Paunio Tiina, Arajärvi Ritva, Terwilliger Joseph D, Hiekkalinna Tero, Haimi Perttu, Partonen Timo, Lönnqvist Jouko, Peltonen Leena, Varilo Teppo
Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland.
Am J Med Genet B Neuropsychiatr Genet. 2009 Sep 5;150B(6):827-35. doi: 10.1002/ajmg.b.30905.
Etiological heterogeneity and complexity has hampered attempts to identify predisposing genes for schizophrenia. We sought to minimize the number of segregating genes involved by focusing on a population isolate with elevated disease prevalence. We exploited the well-established population history, and searched for disease susceptibility loci in families from two alternative founder lineages. We studied 28 schizophrenia pedigrees (123 nuclear families) from an outlying municipality on the eastern border of Finland. We divided the families based on their genealogy and defined two routes of immigration: southern and northern. We examined the kinship coefficients and allele frequency distributions within each group, and performed a linkage analysis based on 497 microsatellite markers across the genome. A high degree of historical relatedness was demonstrated by higher sharing of alleles than predicted by the relationships we identified within the previous four generations alone, as would be expected. Between the two subpopulations, allele frequencies were significantly different, consistent with their isolated genealogies. The southern families showed some evidence of linkage in a schizophrenia locus at 4q23 (Z = 3.3) near our previous finding with quantitative variation in verbal learning and memory [Paunio et al. (2004); Hum Mol Genet 13: 1693-1702], while the northern pedigrees gave most significant evidence on 10q21 (Z = 2.53). Joint analysis of families from both lineages suggested evidence of linkage only at 3p14 (Z = 3.18). Thus the detailed genealogical information led us to identification of distinct linkage signals for schizophrenia susceptibility loci between the three analyses we performed.
病因的异质性和复杂性阻碍了人们识别精神分裂症易感基因的尝试。我们试图通过聚焦于疾病患病率较高的一个人群隔离群体,来减少所涉及的分离基因数量。我们利用了已明确的群体历史,并在来自两个不同奠基者世系的家族中寻找疾病易感基因座。我们研究了来自芬兰东部边境一个偏远自治市的28个精神分裂症家系(123个核心家庭)。我们根据家族谱系将这些家庭进行划分,并确定了两条移民路线:南部和北部。我们检查了每组内的亲属系数和等位基因频率分布,并基于全基因组的497个微卫星标记进行了连锁分析。正如预期的那样,在前四代中,等位基因的共享程度高于仅根据我们所确定的亲属关系所预测的程度,这表明存在高度的历史关联性。在这两个亚群体之间,等位基因频率存在显著差异,这与它们各自独立的家族谱系相符。南部家族在4q23的一个精神分裂症基因座上显示出一些连锁证据(Z = 3.3),该位置接近我们之前关于言语学习和记忆定量变异的发现[保尼奥等人(2004年);《人类分子遗传学》13: 1693 - 1702],而北部家系在10q21上给出了最显著的证据(Z = 2.53)。对来自两个世系的家族进行联合分析,仅在3p14处显示出连锁证据(Z = 3.18)。因此,详细的家族谱系信息使我们在进行的三项分析中识别出了精神分裂症易感基因座的不同连锁信号。