Kishore Asha, Ashok Kumar Sreelatha Ashwin, Tenghe Amabel M M, Borgohain Rupam, Puthanveedu Divya Kalikavil, Rajan Roopa, Urulangodi Madhusoodanan, Gonzalez-Ricardo Luis-Giraldo, Pal Pramod Kumar, Kandadai Rukmini Mridula, Khodaee Saeideh, Yadav Ravi, Mehta Sahil, Kumar Hrishikesh, Kumar Niraj, Kukkle Prashanth Lingappa, Desai Soaham Dilip, Shetty Kuldeep, Wadia Pettarusp, Aggarwal Annu, Agarwal Pankaj, Abbas Mirza Masoom, Wali Gurusideshwar Mahadevappa, Krishnan Syam, Radhakrishnan Divya Madathiparambil, Kamble Nitish, Srivastava Achal Kumar, Lal Vivek, Ferreira Teresa Maria Costa, Chacko Manas, Raghavan Cibin Thoppil, Sarma Gangadhara, Solle Justin, Fiske Brian, Thalakkatttu Amiya, Garg Divyani, Krüger Jens, Lichtner Peter, Vitale Dan, Nalls Mike, Blauwendraat Cornelis, Singleton Andy, Debnath Monojit, Sarkar Swagata, Ansari Sabbir, Adukia Sachin, Vidyadharan Pravi, Kanthimathi R, Santhi Ckv, Syed Tazeem Fathima, Mohareer Sindhuja, Sharma Manu
medRxiv. 2025 Feb 21:2025.02.17.25322132. doi: 10.1101/2025.02.17.25322132.
The genomic landscape of the Indian population, particularly for age-related disorders like Parkinson's disease (PD) remains underrepresented in global research. Genetic variability in PD has been studied predominantly in European populations, offering limited insights into its role within the Indian population. To address this gap, we conducted the first pan-India genomic survey of PD involving 4,806 cases and 6,364 controls, complemented by a meta-analysis integrating summary statistics from a multi-ancestry PD meta-analysis (N=611,485). We further leveraged RNA-sequencing data from lymphoblastoid cell lines of 731 individuals from the 1000 Genomes project to evaluate the expression of key loci across global populations. Our findings reveal a higher genetic burden of PD in the Indian population compared to Europeans, accounting for ∼30% of the previously unexplained heritability. Thirteen genome-wide significant loci were identified, including two novel loci, with an additional three loci uncovered through meta-analysis. Polygenic risk score analysis showed moderate transferability from European populations. Our results highlight the importance of genetic loci in immune function, lipid metabolism and aggregation in PD pathogenesis, with gene expression variability emphasizing population-specific differences. We also established South Asia's largest PD biobank, providing a foundation for patient-centric approaches to PD research and treatment in India.
印度人群的基因组情况,尤其是与帕金森病(PD)等年龄相关疾病相关的情况,在全球研究中仍未得到充分体现。PD的遗传变异性主要在欧洲人群中进行了研究,对其在印度人群中的作用提供的见解有限。为了填补这一空白,我们开展了首次全印度范围的PD基因组调查,涉及4806例病例和6364例对照,并辅以一项荟萃分析,该荟萃分析整合了来自多血统PD荟萃分析(N = 611,485)的汇总统计数据。我们还利用了来自千人基因组计划中731个人的淋巴母细胞系的RNA测序数据,以评估全球人群中关键基因座的表达。我们的研究结果显示,与欧洲人相比,印度人群中PD的遗传负担更高,占之前无法解释的遗传力的约30%。我们鉴定出了13个全基因组显著基因座,包括两个新基因座,通过荟萃分析又发现了另外三个基因座。多基因风险评分分析显示从欧洲人群的转移性适中。我们的结果强调了免疫功能、脂质代谢和聚集相关基因座在PD发病机制中的重要性,基因表达变异性突出了人群特异性差异。我们还建立了南亚最大的PD生物样本库,为印度以患者为中心的PD研究和治疗方法奠定了基础。