Sukcharoen Kittiya, Sharp Seth A, Thomas Nicholas J, Kimmitt Robert A, Harrison Jamie, Bingham Coralie, Mozere Monika, Weedon Michael N, Tyrrell Jessica, Barratt Jonathan, Gale Daniel P, Oram Richard A
The Academic Renal Unit, Royal Devon and Exeter Foundation Trust, Exeter, UK.
Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Exeter, UK.
Kidney Int Rep. 2020 Jul 19;5(10):1643-1650. doi: 10.1016/j.ekir.2020.07.012. eCollection 2020 Oct.
IgA nephropathy (IgAN) is the commonest glomerulonephritis worldwide. Its prevalence is difficult to estimate, as people with mild disease do not commonly receive a biopsy diagnosis. We aimed to generate an IgA nephropathy genetic risk score (IgAN-GRS) and estimate the proportion of people with hematuria who had IgAN in the UK Biobank (UKBB).
We calculated an IgAN-GRS using 14 single-nucleotide polymorphisms (SNPs) drawn from the largest European Genome-Wide Association Study (GWAS) and validated the IgAN-GRS in 464 biopsy-proven IgAN European cases from the UK Glomerulonephritis DNA Bank (UKGDB) and in 379,767 Europeans in the UKBB. We used the mean of IgAN-GRS to calculate the proportion of potential IgAN in 14,181 with hematuria and other nonspecific renal phenotypes from 379,767 Europeans in the UKBB.
The IgAN-GRS was higher in the IgAN cohort (4.30; 95% confidence interval [95% CI: 4.23-4.38) than in controls (3.98; 3.97-3.98; < 0.0001). The mean GRS in UKBB participants with hematuria ( = 12,858) was higher (4.04; 4.02-4.06) than UKBB controls (3.98; 3.97-3.98; < 0.0001) and higher in those with hematuria, hypertension, and microalbuminuria ( = 1323) (4.07; 4.02-4.13) versus (3.98; 3.97-3.98; = 0.0003). Using the difference in these means, we estimated that IgAN accounted for 19% of noncancer hematuria and 28% with hematuria, hypertension, and microalbuminuria in UKBB.
We used an IgAN-GRS to estimate the prevalence of IgAN contributing to common phenotypes that are not always biopsied. The noninvasive use of polygenic risk in this setting may have further utility to identify likely etiology of nonspecific renal phenotypes in large population cohorts.
IgA肾病(IgAN)是全球最常见的肾小球肾炎。由于轻症患者通常未接受活检诊断,其患病率难以估计。我们旨在生成一个IgA肾病遗传风险评分(IgAN-GRS),并估计英国生物银行(UKBB)中血尿患者患有IgA肾病的比例。
我们使用从最大的欧洲全基因组关联研究(GWAS)中提取的14个单核苷酸多态性(SNP)计算了IgAN-GRS,并在来自英国肾小球肾炎DNA库(UKGDB)的464例经活检证实的欧洲IgA肾病病例以及UKBB中的379,767名欧洲人中对IgAN-GRS进行了验证。我们使用IgAN-GRS的均值来计算UKBB中14,181例有血尿及其他非特异性肾脏表型的欧洲人潜在IgA肾病的比例。
IgA肾病队列中的IgAN-GRS(4.30;95%置信区间[95%CI:4.23 - 4.38])高于对照组(3.98;3.97 - 3.98;<0.0001)。UKBB中有血尿的参与者(n = 12,858)的平均GRS(4.04;4.02 - 4.06)高于UKBB对照组(3.98;3.97 - 3.98;<0.0001),在有血尿、高血压和微量白蛋白尿的参与者(n = 1323)中更高(4.07;4.02 - 4.13),而对照组为(3.98;3.97 - 3.98;P = 0.0003)。利用这些均值的差异,我们估计在UKBB中,IgA肾病占非癌性血尿的19%,占伴有血尿、高血压和微量白蛋白尿患者的28%。
我们使用IgAN-GRS来估计导致常见表型(这些表型并非总是进行活检)的IgA肾病的患病率。在这种情况下,多基因风险评分的非侵入性应用可能有助于在大型人群队列中识别非特异性肾脏表型的可能病因。