作者
Shilpi Aggarwal, Sapna Negi, Pankaj Jha, Prashant K Singh, Tsering Stobdan, MA Qadar Pasha, Saurabh Ghosh, Anurag Agrawal, Indian Genome Variation Consortium, Bhavana Prasher, Mitali Mukerji, Indian Genome Variation Consortium is composed of the following additional members:, SK Brahmachari, PP Majumder, M Mukerji, S Habib, D Dash, K Ray, S Bahl, L Singh, A Sharma, S Roychoudhury, GR Chandak, K Thangaraj, D Parmar, S Sengupta, D Bharadwaj, SK Rath, J Singh, GN Jha, K Virdi, VR Rao, S Sinha, A Singh, AK Mitra, SK Mishra, Q Pasha, S Sivasubbu, R Pandey, A Baral, PK Singh, A Sharma, J Kumar, T Stobdan, Y Bhasin, C Chauhan, A Hussain, E Sundaramoorthy, SP Singh, A Bandyopadhyay, K Dasgupta, AK Reddy, CJ Spurgeon, MM Idris, V Khanna, A Dhawan, M Anand, R Shankar, RS Bharti, M Singh, AP Singh, AJ Khan, PP Shah, AB Pant, R Kaur, KK Bisht, A Kumar, V Rajamanickam, E Wilson, A Thangadurai, PK Jha, M Maulik, N Makhija, A Rahim, S Sharma, R Chopra, P Rana, M Chidambaram, A Maitra, R Chawla, S Soni, P Khurana, MN Khan, SD Sutar, A Tuteja, K Narayansamy, R Shukla, S Prakash, S Mahurkar, K Radha Mani, J Hemavathi, S Bhaskar, P Khanna, GS Ramalakshmi, SM Tripathi, N Thakur, B Ghosh, R Kukreti, T Madan, R Verma, G Sudheer, A Mahajan, S Chavali, R Tabassum, S Grover, M Gupta, J Batra, A Kumar, A Nejatizadeh, M Vaid, SK Das, S Sharma, M Sharma, R Chatterjee, JA Paul, P Srivastava, C Rajput, U Mittal, M Singh, M Hariharan, S Das, K Chaudhuri, M Sengupta, M Acharya, A Bhattacharyya, A Saha, A Biswas, M Chaki, A Gupta, S Mukherjee, S Mookherjee, I Chattopadhyay, T Banerjee, M Chakravorty, C Misra, G Monadal, S Sengupta, De D Dutta, S Bajaj, I Deb, A Banerjee, R Chowdhury, D Banerjee, D Kumar, SR Das, S Tiwari, A Bharadwaj, S Khanna, I Ahmed, S Parveen
发表日期
2010/11/2
期刊
Proceedings of the National Academy of Sciences
卷号
107
期号
44
页码范围
18961-18966
出版商
National Academy of Sciences
简介
It is being realized that identification of subgroups within normal controls corresponding to contrasting disease susceptibility is likely to lead to more effective predictive marker discovery. We have previously used the Ayurvedic concept of Prakriti, which relates to phenotypic differences in normal individuals, including response to external environment as well as susceptibility to diseases, to explore molecular differences between three contrasting Prakriti types: Vata, Pitta, and Kapha. EGLN1 was one among 251 differentially expressed genes between the Prakriti types. In the present study, we report a link between high-altitude adaptation and common variations rs479200 (C/T) and rs480902 (T/C) in the EGLN1 gene. Furthermore, the TT genotype of rs479200, which was more frequent in Kapha types and correlated with higher expression of EGLN1, was associated with patients suffering from high-altitude pulmonary …
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S Aggarwal, S Negi, P Jha, PK Singh, T Stobdan… - Proceedings of the National Academy of Sciences, 2010