Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, India.
Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India.
J Hum Genet. 2019 May;64(5):409-419. doi: 10.1038/s10038-019-0582-8. Epub 2019 Feb 28.
Autosomal Dominant Polycystic Kidney Disease (ADPKD) accounts for 2.6% of the patients with chronic kidney disease in India. ADPKD is caused by pathogenic variants in either PKD1 or PKD2 gene. There is no comprehensive genetic data from Indian subcontinent. We aimed to identify the pathogenic variants in the heterogeneous Indian population. PKD1 and PKD2 variants were identified by direct gene sequencing and/or multiplex ligation-dependent probe amplification (MLPA) in 125 unrelated patients of ADPKD. The pathogenic potential of the variants was evaluated computationally and were classified according to ACMG guidelines. Overall 300 variants were observed in PKD1 and PKD2 genes, of which 141 (47%) have been reported previously as benign. The remaining 159 variants were categorized into different classes based on their pathogenicity. Pathogenic variants were observed in 105 (84%) of 125 patients, of which 99 (94.3%) were linked to PKD1 gene and 6 (6.1%) to PKD2 gene. Of 159 variants, 97 were novel variants, of which 43 (44.33%) were pathogenic, and 10 (10.31%) were of uncertain significance. Our data demonstrate the diverse genotypic makeup of single gene disorders in India as compared to the West. These data would be valuable in counseling and further identification of probable donors among the relatives of patients with ADPKD.
常染色体显性多囊肾病 (ADPKD) 占印度慢性肾脏病患者的 2.6%。ADPKD 是由 PKD1 或 PKD2 基因中的致病变异引起的。目前还没有来自印度次大陆的综合遗传数据。我们旨在确定来自印度人群的异质性人群中的致病变异。在 125 名无关的 ADPKD 患者中,通过直接基因测序和/或多重连接依赖性探针扩增 (MLPA) 鉴定了 PKD1 和 PKD2 变异。通过计算评估了变异的致病潜力,并根据 ACMG 指南进行了分类。在 PKD1 和 PKD2 基因中观察到总共 300 个变异,其中 141 个 (47%) 以前被报道为良性。其余 159 个变异根据其致病性分为不同类别。在 125 名患者中的 105 名 (84%) 观察到致病性变异,其中 99 名 (94.3%) 与 PKD1 基因相关,6 名 (6.1%) 与 PKD2 基因相关。在 159 个变异中,有 97 个是新的变异,其中 43 个 (44.33%) 是致病性的,10 个 (10.31%) 是意义不确定的。与西方相比,我们的研究数据显示了印度单基因疾病的基因型多样性。这些数据对于患者亲属的咨询和进一步鉴定可能的供体具有重要价值。