METHODS: KIR genotyping for 213 unadmixed Malay individuals from six subethnic groups (Acheh, Bugis, Champa, Mandailing, Minang and Kedah) was carried out using PCR-SSP (sequence specific primers) method in 16 independent reactions.
RESULTS: The most frequent KIR genotype observed is AA1, followed by AB4 and AB5. Five genotypes; AA1, AB4, AB5, AB7 and AB8 were shared among all Malay subethnic groups. The highest frequency of KIR haplotype A was observed in Minang Malays, whereas Acheh and Kedah Malays carry a balanced distribution of A and B KIR haplotypes. PCA for the KIR genes clearly illustrated six ethnogeographical population clusters; Africans, Amerindian, Northeast Asian, South Asian, Oceania and Southeast Asian populations. All six Malay subethnic groups fell within the Southeast Asian cluster.
CONCLUSIONS: The complex array of KIR genotypes observed in the Malays indicates their historical interactions with various populations, especially with the Chinese, Indians and Orang Asli. This study has demonstrated the potential of KIR genes as a genetic marker for deducing population structure and genetic relationship between populations.
METHODS: This is a multi-center observational study using secondary hospital data collected retrospectively from February 1, 2020, until May 30, 2020. Clinical records of all real-time polymerase chain reaction (RT-PCR)-confirmed COVID-19 cases with smoking status, co-morbidities, clinical features, and disease management were retrieved. Severity was assessed by the presence of complications and outcomes of COVID-19 infection. Logistic regression was used to determine the association between COVID-19 disease severity and smoking status.
RESULTS: A total of 5,889 COVID-19 cases were included in the analysis. Ever smokers had a higher risk of having COVID-19 complications, such as acute respiratory distress syndrome (odds ratio [OR] 1.69; 95% confidence interval [CI] 1.09-2.55), renal injury (OR 1.55; 95% CI 1.10-2.14), and acute liver injury (OR 1.33; 95% CI 1.01-1.74), compared with never smokers. However, in terms of disease outcomes, there were no differences between the two groups.
CONCLUSION: Although no significant association was found in terms of disease outcomes, smoking is associated with a higher risk of having complications owing to COVID-19 infection.
CASE REPORT: Primary and secondary causes of hyperlipidaemia were investigated. Her blood was sent for fasting lipid profile, thyroid function test (TFT), fasting plasma glucose (FPG), liver function test (LFT), renal profile (RP) and HIV screening. Lipaemic interference was removed by high-speed centrifugation. She is a product of non-consanguineous marriage. She is staying together with her stepfather who is HIV positive. Her mother's infective status was negative with no dyslipidaemic features and a normal lipid profile. Lipid profile of her biological father was not known. No other lipid stigmata such as eruptive xanthoma or lipaemia retinalis was seen in the patient. Haemoglobin analysis showed Hb E-Beta thalassaemia major. Her triglycerides was 9.05 mmol/L with normal total cholesterol, 2.85 mmol/L and high-density lipoprotein cholesterol (HDL-c), 0.26 mmol/L. Calculated low-density lipoprotein cholesterol (LDL-c) was invalid as triglycerides was >4.5 mmol/L. TFT, RP, FPG, LFT were normal and HIV status was negative. She was transfused with 10 ml/kg packed cell and her blood post transfusion appeared non lipaemic.
CONCLUSION: Primary hypertriglyceridaemia was excluded based on insignificant family history of dyslipidaemia. Secondary causes of hypertriglyceridaemia were ruled out based on unremarkable laboratory investigations. Thus, we conclude that this patient is having hypertriglyceridaemia thalassaemia syndrome (HTS) which is a rare disorder with unknown pathogenesis. Further research may be required to explore this unknown association.