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瑞典家族性全基因组单体型分析确定了五个新的乳腺癌易感基因座,位于 9p24.3、11q22.3、15q11.2、16q24.1 和 Xq21.31。

A Swedish Familial Genome-Wide Haplotype Analysis Identified Five Novel Breast Cancer Susceptibility Loci on 9p24.3, 11q22.3, 15q11.2, 16q24.1 and Xq21.31.

机构信息

Department of Clinical Science and Education, Karolinska Institutet, 11883 Stockholm, Sweden.

Department of Oncology, Södersjukhuset, 11883 Stockholm, Sweden.

出版信息

Int J Mol Sci. 2023 Feb 24;24(5):4468. doi: 10.3390/ijms24054468.

Abstract

Most breast cancer heritability is unexplained. We hypothesized that analysis of unrelated familial cases in a GWAS context could enable the identification of novel susceptibility loci. In order to examine the association of a haplotype with breast cancer risk, we performed a genome-wide haplotype association study using a sliding window analysis of window sizes 1-25 SNPs in 650 familial invasive breast cancer cases and 5021 controls. We identified five novel risk loci on 9p24.3 (OR 3.4; 4.9 × 10), 11q22.3 (OR 2.4; 5.2 × 10), 15q11.2 (OR 3.6; 2.3 × 10), 16q24.1 (OR 3; 3 × 10) and Xq21.31 (OR 3.3; 1.7 × 10) and confirmed three well-known loci on 10q25.13, 11q13.3, and 16q12.1. In total, 1593 significant risk haplotypes and 39 risk SNPs were distributed on the eight loci. In comparison with unselected breast cancer cases from a previous study, the OR was increased in the familial analysis in all eight loci. Analyzing familial cancer cases and controls enabled the identification of novel breast cancer susceptibility loci.

摘要

大多数乳腺癌的遗传性尚无法解释。我们假设,在全基因组关联研究(GWAS)的背景下对无关联家族病例进行分析,可能有助于识别新的易感基因座。为了检验单倍型与乳腺癌风险的关联,我们对 650 例家族性侵袭性乳腺癌病例和 5021 例对照进行了全基因组单倍型关联研究,使用了 1-25 个单核苷酸多态性(SNP)的滑动窗口分析。我们在 9p24.3(OR3.4;4.9×10)、11q22.3(OR2.4;5.2×10)、15q11.2(OR3.6;2.3×10)、16q24.1(OR3;3×10)和 Xq21.31(OR3.3;1.7×10)上确定了五个新的风险基因座,并确认了 10q25.13、11q13.3 和 16q12.1 上三个已知的基因座。共有 1593 个显著的风险单倍型和 39 个风险 SNP 分布在这 8 个基因座上。与之前一项研究中的未选择乳腺癌病例相比,在所有 8 个基因座中,家族性分析的 OR 均增加。对家族性癌症病例和对照进行分析,有助于识别新的乳腺癌易感基因座。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1013/10003706/d4daa328f9b1/ijms-24-04468-g001.jpg

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