Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.
Complete Genomics, Inc, 2071 Stierlin Court, Mountain View, CA 94043, USA.
Genome Med. 2012 Jul 13;4(7):57. doi: 10.1186/gm358. eCollection 2012.
Genome-wide association studies have identified several genomic regions that are associated with stroke risk, but these provide an explanation for only a small fraction of familial stroke aggregation. Genotype by environment interactions may contribute further to such an explanation. The Women's Health Initiative (WHI) clinical trial found increased stroke risk with postmenopausal hormone therapy (HT) and provides an efficient setting for evaluating genotype-HT interaction on stroke risk.
We examined HT by genotype interactions for 392 SNPs selected from candidate gene studies, and 2,371 SNPs associated with changes in blood protein concentrations after hormone therapy, in analyses that included 2,045 postmenopausal women who developed stroke during WHI clinical trial and observational study follow-up and one-to-one matched controls. A two-stage procedure was implemented where SNPs passing the first stage screening based on marginal association with stroke risk were tested in the second stage for interaction with HT using case-only analysis.
The two-stage procedure identified two SNPs, rs2154299 and rs12194855, in the coagulation factor XIII subunit A (F13A1) region and two SNPs, rs630431 and rs560892, in the proprotein convertase subtilisin kexin 9 (PCSK9) region, with an estimated false discovery rate <0.05 based on interaction tests. Further analyses showed significant stroke risk interaction between these F13A1 SNPs and estrogen plus progestin (E+P) treatment for ischemic stroke and for ischemic and hemorrhagic stroke combined, and suggested interactions between PCSK9 SNPs with either E+P or estrogen-alone treatment.
Genotype by environment interaction information may help to define genomic regions relevant to stroke risk. Two-stage analysis among postmenopausal women generates novel hypotheses concerning the F13A1 and PCSK9 genomic regions and the effects of hormonal exposures on postmenopausal stroke risk for subsequent independent validation.
全基因组关联研究已经确定了几个与中风风险相关的基因组区域,但这些只能解释家族性中风聚集的一小部分。基因型与环境的相互作用可能对此有进一步的解释。妇女健康倡议(WHI)临床试验发现,绝经后激素治疗(HT)会增加中风风险,并为评估 HT 对中风风险的基因型-环境相互作用提供了一个有效的环境。
我们在包括 2045 名在 WHI 临床试验和观察性研究随访期间发生中风的绝经后妇女和一对一匹配对照的分析中,检查了从候选基因研究中选择的 392 个单核苷酸多态性(SNP)和 2371 个与激素治疗后血液蛋白浓度变化相关的 SNP 的 HT 与基因型的相互作用。实施了两阶段程序,其中基于与中风风险的边缘关联通过第一阶段筛选的 SNP 在第二阶段仅使用病例分析进行与 HT 相互作用的测试。
两阶段程序确定了凝血因子 XIII 亚单位 A(F13A1)区域中的两个 SNP(rs2154299 和 rs12194855)和前蛋白转化酶枯草溶菌素 kexin 9(PCSK9)区域中的两个 SNP(rs630431 和 rs560892),基于相互作用测试,估计错误发现率<0.05。进一步的分析表明,这些 F13A1 SNP 与雌孕激素(E+P)治疗缺血性中风和缺血性及出血性中风综合风险之间存在显著的中风风险相互作用,并提示 PCSK9 SNP 与 E+P 或单独雌激素治疗之间存在相互作用。
基因型与环境的相互作用信息可能有助于确定与中风风险相关的基因组区域。绝经后妇女的两阶段分析产生了关于 F13A1 和 PCSK9 基因组区域以及激素暴露对绝经后中风风险影响的新假说,以供随后的独立验证。