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ゲノムワイドな関連分析による多因子疾患の感受性遺伝子の探索

通过全基因组关联分析寻找多因素疾病的易感基因

基本信息

批准号：
03J61514
负责人：
川嶋実苗
金额：
$ 1.15万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for JSPS Fellows
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2004
项目状态：
已结题

项目摘要

今年度は、前年度に行った約25,000マイクロサテライトマーカーを用いたゲノムワイド関連解析(1次・2次スクリーニング)において、特に低いp値を示した3マイクロサテライトマーカー(NA1.3、NA2.3、NA3.4)周辺のFine mappingを行い、候補領域を狭めた。まず、3マーカー周辺に新たにマーカーとして使用しうるマイクロサテライトを可能な限り検出した結果、NA1.3周辺(候補領域1)416kb内に12マーカー、NA2.3周辺(候補領域2)715kb内に14マーカー、NA3.4周辺(候補領域3)652kb内に20マーカーを設定した。これらのマーカーを使用し、個別試料タイピングを行った(患者群228名、対照群420名)。その結果、マーカーNA1.3とNA2.3に隣接する3-4個のマイクロサテライトマーカーにおいて低いp値が示された(p<0.006)。またマーカーNA3.4周辺では、約70kb離れたマーカーNA3.LにおいてNA3.4と同等の低いp値が示された。以上の解析により、候補領域1は約40kb、候補領域2は約100kb、候補領域3は約70kb程度に狭める事ができた。さらに高密度に設定した1塩基多型(single nucleotide polymorphisms : SNPs)を用いた解析を行った。多型判定を行った結果、候補領域1では34SNPs、候補領域2では57SNPs、候補領域3では76SNPsを検出し、それらを関連解析に用いた(患者群95名、対照群95名)。その結果、マイクロサテライトマーカーを用いたFine mappingと同様、3マーカー近傍の複数のSNPsが有意差に至った(p<0.05)。特に、マーカーNA3.L周辺では、近隣8SNPsが有意差に至り、その中の最も近傍の2SNPs(SNP名:C4、C7)ではNA3.Lと同様に強い関連を示した(p<0.002)。

In the current year and the previous year, it is estimated that in the current year and in the previous year, there will be a total of 25000 yuan per month. In the current year and the previous year, there will be a total of 25000 yuan in the current year and the previous year. In this year and the previous year, there will be a total of 25000 yuan in the current year and the previous year. In this year and the previous year, there will be an analysis of the situation in the current year and the previous year. In this year and the previous year, in the current year and the previous year, there will be a lot of information in the current year and the previous year. In this year and the previous year, there will be a lot of information in the current year and the previous year. In this year and the previous year, there will be a lot of information in the current year and the previous year. In this year and the previous year, there will be more information in the current year and the previous year. This year and the previous In recent years, 3-month weeks, new health data sets may be used to restrict the output of health results, NA1.3 (host domain 1) 416kb 12-pack, NA2.3 (host domain 2) 715kb 14, NA3.4 (host domain 3) 652kb 20 health settings. There were 228 patients in the patient group and 420 in the photo group. The results show that there are 3-4 errors in the NA1.3 NA2.3 that show that the data is low. This is the same as the NA3.4 cycle, which is the same as that of the NA3.L. The NA3.4 is the same as that of the NA3.4. The above analysis, waiting area 1 40kb, waiting area 2 100kb, waiting area 3 70kb is very narrow. The high density setting sets single nucleotide polymorphisms: SNPs) to parse the line data using the parsing tool. According to the results of polymorphisms, waiting domain 1 34SNPs, waiting field 2 57SNPs, waiting field 3 76SNPs outbound, patient cluster analysis (95 patients and 95 patients). The results show that the results are the same as that of Fine mapping, and that the complex number of SNPs is intentionally bad (pairlt0.05). In particular, the NA3.L week, the recent 8SNPs, the most close 2SNPs (SNPname: C4, C7), the NA3.L, the same as the strongest, the same as the display (pairltbot).