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常见的遗传多态性在肾脏特征和心血管疾病表型中存在重叠:CKDGen 联盟。

Overlap between common genetic polymorphisms underpinning kidney traits and cardiovascular disease phenotypes: the CKDGen consortium.

机构信息

National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA.

出版信息

Am J Kidney Dis. 2013 Jun;61(6):889-98. doi: 10.1053/j.ajkd.2012.12.024. Epub 2013 Mar 6.

Abstract

BACKGROUND

Chronic kidney disease is associated with cardiovascular disease. We tested for evidence of a shared genetic basis to these traits.

STUDY DESIGN

We conducted 2 targeted analyses. First, we examined whether known single-nucleotide polymorphisms (SNPs) underpinning kidney traits were associated with a series of vascular phenotypes. Additionally, we tested whether vascular SNPs were associated with markers of kidney damage. Significance was set to 1.5×10(-4) (0.05/325 tests).

SETTING & PARTICIPANTS: Vascular outcomes were analyzed in participants from the AortaGen (20,634), CARDIoGRAM (86,995), CHARGE Eye (15,358), CHARGE IMT (31,181), ICBP (69,395), and NeuroCHARGE (12,385) consortia. Tests for kidney outcomes were conducted in up to 67,093 participants from the CKDGen consortium.

PREDICTOR

We used 19 kidney SNPs and 64 vascular SNPs.

OUTCOMES & MEASUREMENTS: Vascular outcomes tested were blood pressure, coronary artery disease, carotid intima-media thickness, pulse wave velocity, retinal venular caliber, and brain white matter lesions. Kidney outcomes were estimated glomerular filtration rate and albuminuria.

RESULTS

In general, we found that kidney disease variants were not associated with vascular phenotypes (127 of 133 tests were nonsignificant). The one exception was rs653178 near SH2B3 (SH2B adaptor protein 3), which showed direction-consistent association with systolic (P = 9.3 ×10(-10)) and diastolic (P = 1.6 ×10(-14)) blood pressure and coronary artery disease (P = 2.2 ×10(-6)), all previously reported. Similarly, the 64 SNPs associated with vascular phenotypes were not associated with kidney phenotypes (187 of 192 tests were nonsignificant), with the exception of 2 high-correlated SNPs at the SH2B3 locus (P = 1.06 ×10(-07) and P = 7.05 ×10(-08)).

LIMITATIONS

The combined effect size of the SNPs for kidney and vascular outcomes may be too low to detect shared genetic associations.

CONCLUSIONS

Overall, although we confirmed one locus (SH2B3) as associated with both kidney and cardiovascular disease, our primary findings suggest that there is little overlap between kidney and cardiovascular disease risk variants in the overall population. The reciprocal risks of kidney and cardiovascular disease may not be genetically mediated, but rather a function of the disease milieu itself.

摘要

背景

慢性肾脏病与心血管疾病有关。我们检验了这些特征是否存在共同的遗传基础。

研究设计

我们进行了 2 项靶向分析。首先,我们检测了是否已知的肾脏特征相关的单核苷酸多态性(SNPs)与一系列血管表型有关。此外,我们还检测了血管 SNPs 是否与肾脏损伤标志物有关。显著性水平设为 1.5×10(-4)(0.05/325 次检验)。

设置和参与者

血管结局分析在 AortaGen(20634 人)、CARDIoGRAM(86995 人)、CHARGE Eye(15358 人)、CHARGE IMT(31181 人)、ICBP(69395 人)和 NeuroCHARGE(12385 人)联盟的参与者中进行。肾脏结局的检验在多达 67093 名 CKDGen 联盟的参与者中进行。

预测因子

我们使用了 19 个肾脏 SNPs 和 64 个血管 SNPs。

结果

一般来说,我们发现肾脏疾病变体与血管表型没有关联(133 次检验中有 127 次无显著关联)。一个例外是位于 SH2B3 附近的 rs653178(SH2B 衔接蛋白 3),它与收缩压(P=9.3×10(-10))和舒张压(P=1.6×10(-14))以及冠状动脉疾病(P=2.2×10(-6))表现出一致的关联,这些结果均是先前报道过的。同样,与血管表型相关的 64 个 SNPs 与肾脏表型也没有关联(192 次检验中有 187 次无显著关联),只有 SH2B3 位点的 2 个高度相关的 SNPs 例外(P=1.06×10(-07) 和 P=7.05×10(-08))。

局限性

肾脏和血管表型 SNP 的综合效应大小可能太低,无法检测到共同的遗传关联。

结论

总的来说,尽管我们证实了一个位点(SH2B3)与肾脏和心血管疾病都有关联,但我们的主要发现表明,在一般人群中,肾脏和心血管疾病风险变异体之间几乎没有重叠。肾脏和心血管疾病的相互风险可能不是遗传介导的,而是疾病环境本身的一个功能。

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