Musolf Anthony M, Simpson Claire L, de Andrade Mariza, Mandal Diptasri, Gaba Colette, Yang Ping, Li Yafang, You Ming, Kupert Elena Y, Anderson Marshall W, Schwartz Ann G, Pinney Susan M, Amos Christopher I, Bailey-Wilson Joan E
National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA.
Hum Hered. 2016;82(1-2):64-74. doi: 10.1159/000479028. Epub 2017 Aug 18.
One of four American cancer patients dies of lung cancer. Environmental factors such as tobacco smoking are known to affect lung cancer risk. However, there is a genetic factor to lung cancer risk as well. Here, we perform parametric linkage analysis on family-based genotype data in an effort to find genetic loci linked to the disease.
197 individuals from families with a high-risk history of lung cancer were recruited and genotyped using an Illumina array. Parametric linkage analyses were performed using an affected-only phenotype model with an autosomal dominant inheritance using a disease allele frequency of 0.01. Three types of analyses were performed: single variant two-point, collapsed haplotype pattern variant two-point, and multipoint analysis.
Five novel genome-wide significant loci were identified at 18p11.23, 2p22.2, 14q13.1, 16p13, and 20q13.11. The families most informative for linkage were also determined.
The 5 novel signals are good candidate regions, containing genes that have been implicated as having somatic changes in lung cancer or other cancers (though not in germ line cells). Targeted sequencing on the significant loci is planned to determine the causal variants at these loci.
每四名美国癌症患者中就有一人死于肺癌。已知吸烟等环境因素会影响肺癌风险。然而,肺癌风险也存在遗传因素。在此,我们对基于家庭的基因型数据进行参数连锁分析,以寻找与该疾病相关的基因位点。
招募了197名有肺癌高危家族史的个体,并使用Illumina芯片进行基因分型。使用仅受累表型模型和常染色体显性遗传,疾病等位基因频率为0.01,进行参数连锁分析。进行了三种类型的分析:单变体两点分析、压缩单倍型模式变体两点分析和多点分析。
在18p11.23、2p22.2、14q13.1、16p13和20q13.11处鉴定出五个新的全基因组显著位点。还确定了对连锁分析信息最丰富的家族。
这5个新信号是很好的候选区域,包含的基因在肺癌或其他癌症(尽管不是在生殖系细胞中)中已被认为存在体细胞变化。计划对这些显著位点进行靶向测序,以确定这些位点的致病变体。