- A bioinformatic approach to identify pathogenic variants for Stevens-Johnson syndrome
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Ma’ruf M, Fadli JC, Mahendra MR, Irham LM, Sulistyani N, Adikusuma W, Chong R, Septama AW
- KMID: 2543705
- Genomics Inform.
- 2023 Jun;21(2):e26.
- doi: 10.5808/gi.23010
Stevens-Johnson syndrome (SJS) produces a severe hypersensitivity reaction caused by Herpes simplex virus or mycoplasma infection, vaccination, systemic disease, or other agents. Several studies have investigated the genetic susceptibility involved... -
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- Identification of druggable genes for multiple myeloma based on genomic information
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Satria RD, Irham LM, Adikusuma W, Puspitaningrum AN, Afief AR, Khair RE, Septama AW
- KMID: 2547065
- Genomics Inform.
- 2023 Sep;21(3):e31.
- doi: 10.5808/gi.23011
Multiple myeloma (MM) is a hematological malignancy. It is widely believed that genetic factors play a significant role in the development of MM, as investigated in numerous studies. However, the... -
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- A genomic and bioinformatic-based approach to identify genetic variants for liver cancer across multiple continents
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Ma’ruf M, Irham LM, Adikusuma W, Sarasmita MA, Khairi S, Purwanto BD, Chong R, Mazaya M, Siswanto LMH
- KMID: 2550889
- Genomics Inform.
- 2023 Dec;21(4):e48.
- doi: 10.5808/gi.23067
Liver cancer is the fourth leading cause of death worldwide. Well-known risk factors include hepatitis B virus and hepatitis C virus, along with exposure to aflatoxins, excessive alcohol consumption, obesity,... -
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