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Admixture Mapping Schizophrenia Genes in Oceanic Palau

Admixture Mapping Schizophrenia Genes in Oceanic Palau
太平洋帕劳精神分裂症基因混合图谱分析
批准号:
6900314
负责人:
BERNIE DEVLIN
金额:
$13.46万
依托单位国家:
美国
项目类别:
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-07-15 至 2007-06-30

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BERNIE DEVLIN的其他基金

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DESCRIPTION (Applicant?s Abstract): Schizophrenia is a devastating psychiatric syndrome that causes untold suffering and losses. Despite differing cultures and environments around the world, the prevalence and presentation of schizophrenia worldwide is similar. Its presentation and course are no different in the Remote Oceanic population of Palau, but the population structure of Palau presents unique opportunities to explore the genetic etiology of this devastating illness. In particular, the population of Palau is of recent origin, founded about 2000 years before present (BP); Palau has undergone at least two substantial bottlenecks, at founding and approximately I 00BP due to disease introduced by European/American contact; the population has throughout its history experienced smaller effective population size than most modem societies; and Palau has apparently experienced extensive male-biased gene flow. All of these elements combine to generate linkage disequilibrium (LD) among alleles on autosomal and X chromosomes, which is detectable even at substantial distances on chromosomes. Our principal objective is to identify genes that underlie liability to schizophrenia by using the special features of Palau. In addition to its unique population genetics, Palau has a slightly elevated rate of schizophrenia, 2.77 percent in males and 1.24 percent in females, compared to the 0.5 to 1 percent sex-averaged rate worldwide. There are 156 ?on-island? schizophrenics, of whom 154 have contributed DNA. In addition, we have sampled 495 key relatives. Thus no recruitment is required for this project. Instead, we can focus on linkage and LD analyses to map liability genes. For the former, extended pedigrees and linkage tools are available; only additional genotyping and analyses are required. For the latter, we propose LD analyses on the basis of linkage results and a whole genome scan, which uses a coarse grid of markers. Our preliminary results confirm the likely success of both approaches. Statistical methods will be developed to complement the molecular analyses for the LD component of this study. This application is submitted as a two-site, collaborative ROl under the mechanism of the Clinical Studies or Mental Disorders. Collaborating sites are the University of Pittsburgh (Devlin), Carnegie Mellon University (Roeder, subcontract to Pitt) and University of California Irvine (Byerley).
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