School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.
Clark Atlanta University, Atlanta, Georgia.
Cancer Res. 2020 Jul 1;80(13):2956-2966. doi: 10.1158/0008-5472.CAN-19-2165. Epub 2020 May 11.
Although prostate cancer is the leading cause of cancer mortality for African men, the vast majority of known disease associations have been detected in European study cohorts. Furthermore, most genome-wide association studies have used genotyping arrays that are hindered by SNP ascertainment bias. To overcome these disparities in genomic medicine, the Men of African Descent and Carcinoma of the Prostate (MADCaP) Network has developed a genotyping array that is optimized for African populations. The MADCaP Array contains more than 1.5 million markers and an imputation backbone that successfully tags over 94% of common genetic variants in African populations. This array also has a high density of markers in genomic regions associated with cancer susceptibility, including 8q24. We assessed the effectiveness of the MADCaP Array by genotyping 399 prostate cancer cases and 403 controls from seven urban study sites in sub-Saharan Africa. Samples from Ghana and Nigeria clustered together, whereas samples from Senegal and South Africa yielded distinct ancestry clusters. Using the MADCaP array, we identified cancer-associated loci that have large allele frequency differences across African populations. Polygenic risk scores for prostate cancer were higher in Nigeria than in Senegal. In summary, individual and population-level differences in prostate cancer risk were revealed using a novel genotyping array. SIGNIFICANCE: This study presents an Africa-specific genotyping array, which enables investigators to identify novel disease associations and to fine-map genetic loci that are associated with prostate and other cancers.
虽然前列腺癌是非洲男性癌症死亡的主要原因,但绝大多数已知的疾病关联都是在欧洲研究队列中发现的。此外,大多数全基因组关联研究都使用了基因分型阵列,这些阵列受到 SNP 确定偏差的限制。为了克服基因组医学中的这些差异,非洲裔男性和前列腺癌(MADCaP)网络开发了一种针对非洲人群优化的基因分型阵列。MADCaP 阵列包含超过 150 万个标记和一个成功标记超过 94%的非洲人群常见遗传变异的推断骨干。该阵列还在与癌症易感性相关的基因组区域具有高密度的标记,包括 8q24。我们通过对来自撒哈拉以南非洲七个城市研究地点的 399 例前列腺癌病例和 403 例对照进行基因分型,评估了 MADCaP 阵列的有效性。来自加纳和尼日利亚的样本聚集在一起,而来自塞内加尔和南非的样本产生了不同的祖先簇。使用 MADCaP 阵列,我们确定了癌症相关的基因座,这些基因座在非洲人群中具有较大的等位基因频率差异。前列腺癌的多基因风险评分在尼日利亚高于塞内加尔。总之,使用新型基因分型阵列揭示了个体和人群水平前列腺癌风险的差异。意义:本研究提出了一种非洲特有的基因分型阵列,使研究人员能够识别新的疾病关联,并对与前列腺癌和其他癌症相关的遗传基因座进行精细映射。