Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar.
Department of Human Genetics, Sidra Medicine, Doha, Qatar.
Lancet Oncol. 2022 Mar;23(3):341-352. doi: 10.1016/S1470-2045(21)00752-X. Epub 2022 Feb 9.
Disparities in the genetic risk of cancer among various ancestry groups and populations remain poorly defined. This challenge is even more acute for Middle Eastern populations, where the paucity of genomic data could affect the clinical potential of cancer genetic risk profiling. We used data from the phase 1 cohort of the Qatar Genome Programme to investigate genetic variation in cancer-susceptibility genes in the Qatari population.
The Qatar Genome Programme generated high-coverage genome sequencing on DNA samples collected from 6142 native Qataris, stratified into six distinct ancestry groups: general Arab, Persian, Arabian Peninsula, Admixture Arab, African, and South Asian. In this population-based, cohort study, we evaluated the performance of polygenic risk scores for the most common cancers in Qatar (breast, prostate, and colorectal cancers). Polygenic risk scores were trained in The Cancer Genome Atlas (TCGA) dataset, and their distributions were subsequently applied to the six different genetic ancestry groups of the Qatari population. Rare deleterious variants within 1218 cancer susceptibility genes were analysed, and their clinical pathogenicity was assessed by ClinVar and the CharGer computational tools.
The cohort included in this study was recruited by the Qatar Biobank between Dec 11, 2012, and June 9, 2016. The initial dataset comprised 6218 cohort participants, and whole genome sequencing quality control filtering led to a final dataset of 6142 samples. Polygenic risk score analyses of the most common cancers in Qatar showed significant differences between the six ancestry groups (p<0·0001). Qataris with Arabian Peninsula ancestry showed the lowest polygenic risk score mean for colorectal cancer (-0·41), and those of African ancestry showed the highest average for prostate cancer (0·85). Cancer-gene rare variant analysis identified 76 Qataris (1·2% of 6142 individuals in the Qatar Genome Programme cohort) carrying ClinVar pathogenic or likely pathogenic variants in clinically actionable cancer genes. Variant analysis using CharGer identified 195 individuals carriers (3·17% of the cohort). Breast cancer pathogenic variants were over-represented in Qataris of Persian origin (22 [56·4%] of 39 BRCA1/BRCA2 variant carriers) and completely absent in those of Arabian Peninsula origin.
We observed a high degree of heterogeneity for cancer predisposition genes and polygenic risk scores across ancestries in this population from Qatar. Stratification systems could be considered for the implementation of national cancer preventive medicine programmes.
Qatar Foundation.
不同种族群体和人群的癌症遗传风险差异仍未得到充分定义。对于中东人群来说,这一挑战更加严峻,因为缺乏基因组数据可能会影响癌症遗传风险分析的临床潜力。我们利用卡塔尔基因组计划第一阶段队列的数据,研究了卡塔尔人群中癌症易感基因的遗传变异。
卡塔尔基因组计划对从 6142 名土生土长的卡塔尔人采集的 DNA 样本进行了高覆盖率的基因组测序,这些人分为六个不同的血统群体:一般阿拉伯人、波斯人、阿拉伯半岛人、混合阿拉伯人、非洲人和南亚人。在这项基于人群的队列研究中,我们评估了多基因风险评分在卡塔尔最常见癌症(乳腺癌、前列腺癌和结直肠癌)中的表现。多基因风险评分是在癌症基因组图谱(TCGA)数据集进行训练的,随后将其分布应用于卡塔尔人群的六个不同遗传血统群体。分析了 1218 个癌症易感性基因中的罕见有害变异,并使用 ClinVar 和 CharGer 计算工具评估其临床致病性。
本研究纳入的队列由卡塔尔生物库于 2012 年 12 月 11 日至 2016 年 6 月 9 日招募。最初的数据集包含 6218 名队列参与者,全基因组测序质量控制过滤后,最终数据集包含 6142 个样本。对卡塔尔最常见癌症的多基因风险评分分析显示,六个血统群体之间存在显著差异(p<0.0001)。具有阿拉伯半岛血统的卡塔尔人结直肠癌的多基因风险评分平均值最低(-0.41),而具有非洲血统的人前列腺癌的平均评分最高(0.85)。癌症基因罕见变异分析确定了 76 名卡塔尔人(卡塔尔基因组计划队列中 6142 人的 1.2%)携带 ClinVar 致病性或可能致病性的癌症相关基因变异。使用 CharGer 进行的变异分析确定了 195 名携带者(队列的 3.17%)。具有波斯血统的卡塔尔人乳腺癌致病性变异较多(39 名 BRCA1/BRCA2 变异携带者中的 22 名[56.4%]),而具有阿拉伯半岛血统的人则完全没有。
我们观察到,在来自卡塔尔的这个人群中,不同种族的癌症易感性基因和多基因风险评分存在高度异质性。分层系统可以考虑用于实施国家癌症预防医学计划。
卡塔尔基金会。