Browsing by Author "Kengne, Andre Pascal"
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- ItemBurden of non-communicable diseases in sub-Saharan Africa, 1990–2017 : results from the Global Burden of Disease Study 2017(Elsevier, 2019-10) Gouda, Hebe N.; Charlson, Fiona; Sorsdahl, Katherine; Ahmadzada, Sanam; Ferrari, Alize J.; Erskine, Holly; Leung, Janni; Santamauro, Damian; Lund, Crick; Aminde, Leopold Ndemnge; Mayosi, Bongani M.; Kengne, Andre Pascal; Harris, Meredith; Achoki, Tom; Wiysonge, Charles S.; Stein, Dan J.; Whiteford, HarveyBackground: Although the burden of disease in sub-Saharan Africa continues to be dominated by infectious diseases, countries in this region are undergoing a demographic transition leading to increasing prevalence of noncommunicable diseases (NCDs). To inform health system responses to these changing patterns of disease, we aimed to assess changes in the burden of NCDs in sub-Saharan Africa from 1990 to 2017. Methods: We used data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to analyse the burden of NCDs in sub-Saharan Africa in terms of disability-adjusted life-years (DALYs)—with crude counts as well as all-age and age-standardised rates per 100000 population—with 95% uncertainty intervals (UIs). We examined changes in burden between 1990 and 2017, and differences across age, sex, and regions. We also compared the observed NCD burden across countries with the expected values based on a country’s Socio-demographic Index. Findings: All-age total DALYs due to NCDs increased by 67·0% between 1990 (90·6 million [95% UI 81·0–101·9]) and 2017 (151·3 million [133·4–171·8]), reflecting an increase in the proportion of total DALYs attributable to NCDs (from 18·6% [95% UI 17·1–20·4] to 29·8% [27·6–32·0] of the total burden). Although most of this increase can be explained by population growth and ageing, the age-standardised DALY rate (per 100000 population) due to NCDs in 2017 (21757·7 DALYs [95% UI 19 377·1–24380·7]) was almost equivalent to that of communicable, maternal, neonatal, and nutritional diseases (26491·6 DALYs [25165·2–28129·8]). Cardiovascular diseases were the second leading cause of NCD burden in 2017, resulting in 22·9 million (21·5–24·3) DALYs (15·1% of the total NCD burden), after the group of disorders categorised as other NCDs (28·8 million [25·1–33·0] DALYs, 19·1%). These categories were followed by neoplasms, mental disorders, and digestive diseases. Although crude DALY rates for all NCDs have decreased slightly across sub-Saharan Africa, age-standardised rates are on the rise in some countries (particularly those in southern sub-Saharan Africa) and for some NCDs (such as diabetes and some cancers, including breast and prostate cancer). Interpretation: NCDs in sub-Saharan Africa are posing an increasing challenge for health systems, which have to date largely focused on tackling infectious diseases and maternal, neonatal, and child deaths. To effectively address these changing needs, countries in sub-Saharan Africa require detailed epidemiological data on NCDs.
- ItemCirculating miR-30a-5p and miR-182-5p in prediabetes and screen-detected diabetes mellitus(Dove Press, 2020-12) Weale, Cecil Jack; Matshazi, Don M.; Davids, Saarah F. G.; Raghubeer, Shanel; Erasmus, Rajiv T.; Kengne, Andre Pascal; Davison, Glenda Mary; Matsha, Tandi E.Background: microRNAs (miRNAs) have been touted as potential diagnostic and prognostic biomarkers for various diseases. The aim of the present study was to evaluate the diagnostic value of miR-30a-5p and miR-182-5p for prediabetes and screen-detected type 2 diabetes mellitus (T2DM). Methods: The study included 1270 participants (207 prediabetes, 94 screen-detected diabetes and 969 normotolerant) from the Vascular and Metabolic Health (VMH) study. Whole blood levels of miR-30a-5p and miR-182-5p were quantitated by RT-qPCR. Multivariable logistic regressions were used to relate miRNAs with prediabetes or T2DM and receiver operating characteristic (ROC) curves were used to evaluate the ability of each miRNA to diagnose these conditions. Results: Both miRNAs were significantly highly expressed in individuals with prediabetes or T2DM (both ≥3.2-fold, and p<0.001). We also observed significant under-expression in T2DM relative to prediabetes for miR-182-5p (0.49-fold, p=0.001). Age, sex and BMI-adjusted partial correlation coefficient analysis revealed a significant correlation between the two miRNAs across glucose tolerance statuses (r≥0.932, p<0.001). In normotolerant individuals, both miRNAs showed a negative correlation with waist circumference and positive correlation with HDL-cholesterol whilst in T2DM they correlated positively with hip circumference, 2-hour insulin, HDL- and LDL-cholesterol. Multivariable logistic regressions revealed both miRNAs to be consistently and continuously associated with prediabetes or T2DM (OR≥1.18, 95% 95% CI: 1.10-1.28, p<0.001), while only miR-182-5p associated with a reduced prevalence of T2DM relative to prediabetes (OR: 0.89, 95% CI: 0.83-0.96, p=0.003). In ROC analyses, miR-182-5p almost outperformed HbA1c in diagnosing prediabetes; area under the curve 0.74 vs 0.69. Conclusion: Our findings demonstrate that miR-30a-5p and miR-182-5p are associated with dysglycaemia and could potentially predict prediabetes, particularly miR-182-5p.
- ItemGlobal, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016 : a systematic analysis for the Global Burden of Disease Study 2016(Elsevier, 2019-11-26) James, Spencer L.; Theadom, Alice; Ellenbogen, Richard G.; Bannick, Marlena S.; Montjoy-Venning, Wcliff; Lucchesi, Lydia R.; Abbasi, Nooshin; Abdulkader, Rizwan; Abraha, Haftom Niguse; Adsuar, Jose C.; Afarideh, Mohsen; Agrawal, Sutapa; Ahmadi, Alireza; Ahmed, Muktar Beshir; Aichour, Amani Nidhal; Aichour, Ibtihel; Aichour, Miloud Taki Eddine; Akinyemi, Rufus Olusola; Akseer, Nadia; Alahdab, Fares; Alebel, Animut; Alghnam, Suliman A.; Ali, Beriwan Abdulqadir; Alsharif, Ubai; Altirkawi, Khalid; Andrei, Catalina Liliana; Anjomshoa, Mina; Ansari, Hossein; Ansha, Mustafa Geleto; Antonio, Carl Abelardo T.; Appiah, Seth Christopher Yaw; Ariani, Filippo; Asefa, Nigus Gebremedhin; Asgedom, Solomon Weldegebreal; Atique, Suleman; Awasthi, Ashish; Quintanilla, Beatriz Paulina Ayala; Ayuk, Tambe B.; Azzopardi, Peter S.; Badali, Hamid; Badawi, Alaa; Balalla, Shivanthi; Banstola, Amrit; Barker-Collo, Suzanne Lyn; Barnighausen, Till Winfried; Bedi, Neeraj; Behzadifar, Masoud; Behzadifar, Meysam; Bekele, Bayu Begashaw; Belachew, Abate Bekele; Belay, Yihalem Abebe; Bennett, Derrick A.; Bensenor, Isabela M.; Berhane, Adugnaw; Beuran, Mircea; Bhalla, Ashish; Bhaumik, Soumyadeeep; Bhutta, Zulfiqar A.; Biadgo, Belete; Biffino, Marco; Bijani, Ali; Bililign, Nigus; Birungi, Charles; Boufous, Soufiane; Brazinova, Alexandra; Brown, Allen W.; Car, Mate; Cardenas, Rosario; Carrero, Juan J.; Carvalho, Felix; Castaneda-Orjuela, Carlos A; Catala-Lopez, Ferran; Chaiah, Yazan; Champs, Ana Paula; Chang, Jung-Chen; Choi, Jee-Young J.; Christopher, Devasahayam J.; Cooper, Cyrus; Crowe, Christopher Stephen; Dandona, Lalit; Dandona, Rakhi; Daryani, Ahmad; Davitoiu, Dragos Virgil; Degefa, Meaza Girma; Demoz, Gebre Teklemariam; Deribe, Kebede; Djalalinia, Shirin; Do, Huyen Phuc; Doku, David Teye; Drake, Thomas M.; Dubey, Manisha; Dubljanin, Eleonora; El-Khatib, Ziad; Ofori-Asenso, Richard; Eskandarieh, Sharareh; Esteghamati, Alireza; Esteghamati, Sadaf; Faro, Andre; Farzadfar, Farshad; Farzaei, Mohammad Hosein; Fereshtehnejad, Seyed-Mohammad; Fernandes, Eduarda; Feyissa, Garumma Tolu; Filip, Irina; Fischer, Florian; Fukumoto, Takeshi; Ganji, Morasaleh; Gankpe, Fortune Gbetoho; Gebre, Abadi Kahsu; Gebrehiwot, Tsegaye Tewelde; Gezae, Kebede Embaye; Gopalkrishna, Gururaj; Goulart, Alessandra C.; Haagsma, Juanita A.; Haj-Mirzaian, Arvin; Haj-Mirzaian, Arya; Hamadeh, Randah R.; Hamidi, Samer; Haro, Josep Maria; Hassankhani, Hadi; Hassen, Hamid Yimam; Havmoeller, Rasmus; Hawley, Caitlin; Hay, Simon I.; Hegazy, Mohamed I.; Hendrie, Delia; Henok, Andualem; Hibstu, Desalegn Tsegaw; Hoffman, Howard J.; Hole, Michael K.; Rad, Enayatollah Homaie; Hosseini, Seyed Mostafa; Hostiuc, Sorin; Hu, Guoqing; Hussen, Mamusha Aman; Ilesanmi, Olayinka Stephen; Irvani, Seyed Naghibi; Jakovljevic, Mihajlo; Jayaraman, Sudha; Jha, Ravi Prakash; Jonas, Jost B.; Jones, Kelly M.; Shushtari, Zahra Jorjoran; Jozwiak, Jacek Jerzy; Jürisson, Mikk; Kabir, Ali; Kahsay, Amaha; Kahssay, Molla; Kalani, Rizwan; Karch, Andre; Kasaeian, Amir; Kassa, Getachew Mullu; Kassa, Tesfaye Dessale; Kassa, Zemenu Yohannes; Kengne, Andre Pascal; Khader, Yousef Saleh; Khafaie, Morteza Abdullatif; Khalid, Nauman; Khalil, Ibrahim; Khan, Ejaz Ahmad; Khan, Muhammad Shahzeb; Khang, Young-Ho; Khazaie, Habibolah; Khoja, Abdullah T.; Khubchandani, Jagdish; Kiadaliri, Aliasghar A.; Kim, Daniel; Kim, Young-Eun; Kisa, Adnan; Koyanagi, Ai; Krohn, Kristopher J.; Defo, Barthelemy Kuate; Defo, Barthelemy Kuate; Bicer, Burcu Kucuk; Kumar, G. Anil; Kumar, Manasi; Lalloo, Ratilal; Lami, Faris Hasan; Lansingh, Van C.; Laryea, Dennis Odai; Latifi, Arman; Leshargie, Cheru Tesema; Levi, Miriam; Li, Shanshan; Liben, Misgan Legesse; Lotufo, Paulo A.; Lunevicius, Raimundas; Mahotra, Narayan Bahadur; Majdan, Marek; Majeed, Azeem; Malekzadeh, Reza; Manda, Ana-Laura; Mansournia, Mohammad Ali; Massenburg, Benjamin Ballard; Mate, Kedar K. V.; Mehndiratta, Man Mohan; Mehta, Varshil; Meles, Hagazi; Melese, Addisu; Memiah, Peter T. N.; Mendoza, Walter; Mengistu, Getnet; Meretoja, Atte; Meretoja, Tuomo J.; Mestrovic, Tomislav; Miazgowski, Tomasz; Miller, Ted R.; Mini, G. K.; Mirica, Andreea; Mirrakhimov, Andreea; Moazen, Babak; Mohammadi, Moslem; Mokdad, Ali H.; Molokhia, Mariam; Monasta, Lorenzo; Mondello, Stefania; Moosazadeh, Mahmood; Moradi, Ghobad; Moradi, Mahmoudreza; Moradi-Lakeh, Maziar; Moradinazar, Mehdi; Morrison, Shane Douglas; Moschos, Marilita M.; Mousavi, Seyyed Meysam; Murthy, Srinivas; Musa, Kamarul Imran; Mustafa, Ghulam; Naghavi, Mohsen; Naik, Gurudatta; Najafi, Farid; Nangia, Vinay; Nascimento, Bruno Ramos; Negoi, Ionut; Nguyen, Trang Huyen; Nichols, Emma; Ningrum, Dina Nur Anggraini; Nirayo, Yirga Legesse; Nyasulu, Peter S.; Ofori-Asenso, Richard; Ogbo, Felix Akpojene; Oh, In-Hwan; Okoro, Anselm; Olagunju, Andrew T.; Olagunju, Tinuke O.; Olivares, Pedro R.; Otstavnov, Stanislav S.; Owolabi, Mayowa Ojo; P A, Mahesh; Pakhale, Smita; Pandey, Achyut Raj; Pesudovs, Konrad; Pinilla-Monsalve, Gabriel D.; Polinder, Suzanne; Poustchi, Hossein; Prakash, Swayam; Qorbani, Mostafa; Radfar, Amir; Rafay, Anwar; Rafiei, Alireza; Afarin Rahimi-Movaghar,; Vafa Rahimi-Movaghar,; Mahfuzar Rahman,; Muhammad Aziz Rahman,; Rajesh Kumar Rai,; Fatemeh Rajati,; Usha Ram,; David Laith Rawaf,; Salman Rawaf,; Robert C Reiner,; Cesar Reis,; Andre M N Renzaho,; Serge Resnikoff,; Satar Rezaei,; Shahab Rezaeian,; Leonardo Roever,; Luca Ronfani,; Gholamreza Roshandel,; Nobhojit Roy,; George Mugambage Ruhago,; Basema Saddik,; Hosein Safari,; Saeid Safiri,; Mohammad Ali Sahraian,; Payman Salamati,; Raphael de Freitas Saldanha,; Abdallah M Samy, Juan Sanabria,; João Vasco Santos,; Milena M M Santric Milicevic,; Benn Sartorius,; Maheswar Satpathy,; Ione J C Schneider,; David C Schwebel,; Sadaf G Sepanlou,; Hosein Shabaninejad,; Masood A Ali Shaikh,; Mehran Shams-Beyranvand,; Mehdi Sharif,; Mahdi Sharif-Alhoseini,; Sheikh Mohammed Shariful Islam,; Jun She,; Aziz Sheikh,; Jiabin Shen,; Kevin N Sheth,; Kenji Shibuya,; Mekonnen Sisay Shiferaw,; Mika Shigematsu,; Rahman Shiri,; Ivy Shiue,; Haitham Shoman,; Soraya Siabani,; Tariq J Siddiqi,; João Pedro Silva,; Dayane Gabriele Alves Silveira,; Dhirendra Narain Sinha,; Mari Smith,; Adauto Martins Soares Filho,; Soheila Sobhani,; Moslem Soofi,; Joan B Soriano,; Ireneous N Soyiri,; Dan J Stein,; Mark A Stokes,; Mu'awiyyah Babale Sufiyan,; Bruno F Sunguya,; Jacob E Sunshine,; Bryan L Sykes,; Cassandra E I Szoeke,; Rafael Tabarés-Seisdedos,; Braden James Te Ao,; Arash Tehrani-Banihashemi,; Merhawi Gebremedhin Tekle,; Mohamad-Hani Temsah,; Omar Temsah,; Roman Topor-Madry,; Miguel Tortajada-Girbés,; Bach Xuan Tran,; Khanh Bao Tran,; Lorainne Tudor Car,; Kingsley Nnanna Ukwaja,; Irfan Ullah,; Muhammad Shariq Usman,; Olalekan A Uthman,; Valdez, Pascual R; Vasankari, Tommi Juhani; Venketasubramanian, Narayanaswamy; Francesco S Violante,; Fasil Shiferaw Wagnew,; Yasir Waheed,; Yuan-Pang Wang,; Kidu Gidey Weldegwergs,; Andrea Werdecker,; Tissa Wijeratne,; Andrea Sylvia Winkler,; Grant M A Wyper,; Yuichiro Yano,; Mehdi Yaseri,; Yasin Jemal Yasin,; Pengpeng Ye,; Ebrahim M Yimer,; Paul Yip,; Engida Yisma,; Naohiro Yonemoto,; Seok-Jun Yoon,; Michael G Yost,; Mustafa Z Younis,; Mahmoud Yousefifard,; Chuanhua Yu,; Zoubida Zaidi,; Sojib Bin Zaman,; Mohammad Zamani,; Zerihun Menlkalew Zenebe,; Sanjay Zodpey,; Valery L Feigin,; Theo Vos,; Christopher J L MurrayBackground: Traumatic brain injury (TBI) and spinal cord injury (SCI) are increasingly recognised as global health priorities in view of the preventability of most injuries and the complex and expensive medical care they necessitate. We aimed to measure the incidence, prevalence, and years of life lived with disability (YLDs) for TBI and SCI from all causes of injury in every country, to describe how these measures have changed between 1990 and 2016, and to estimate the proportion of TBI and SCI cases caused by different types of injury. Methods: We used results from the Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016 to measure the global, regional, and national burden of TBI and SCI by age and sex. We measured the incidence and prevalence of all causes of injury requiring medical care in inpatient and outpatient records, literature studies, and survey data. By use of clinical record data, we estimated the proportion of each cause of injury that required medical care that would result in TBI or SCI being considered as the nature of injury. We used literature studies to establish standardised mortality ratios and applied differential equations to convert incidence to prevalence of long-term disability. Finally, we applied GBD disability weights to calculate YLDs. We used a Bayesian meta-regression tool for epidemiological modelling, used cause-specific mortality rates for non-fatal estimation, and adjusted our results for disability experienced with comorbid conditions. We also analysed results on the basis of the Socio-demographic Index, a compound measure of income per capita, education, and fertility. Findings: In 2016, there were 27·08 million (95% uncertainty interval [UI] 24·30–30·30 million) new cases of TBI and 0·93 million (0·78–1·16 million) new cases of SCI, with age-standardised incidence rates of 369 (331–412) per 100 000 population for TBI and 13 (11–16) per 100 000 for SCI. In 2016, the number of prevalent cases of TBI was 55·50 million (53·40–57·62 million) and of SCI was 27·04 million (24·98–30·15 million). From 1990 to 2016, the age-standardised prevalence of TBI increased by 8·4% (95% UI 7·7 to 9·2), whereas that of SCI did not change significantly (−0·2% [–2·1 to 2·7]). Age-standardised incidence rates increased by 3·6% (1·8 to 5·5) for TBI, but did not change significantly for SCI (−3·6% [–7·4 to 4·0]). TBI caused 8·1 million (95% UI 6·0–10·4 million) YLDs and SCI caused 9·5 million (6·7–12·4 million) YLDs in 2016, corresponding to age-standardised rates of 111 (82–141) per 100 000 for TBI and 130 (90–170) per 100 000 for SCI. Falls and road injuries were the leading causes of new cases of TBI and SCI in most regions. Interpretation: TBI and SCI constitute a considerable portion of the global injury burden and are caused primarily by falls and road injuries. The increase in incidence of TBI over time might continue in view of increases in population density, population ageing, and increasing use of motor vehicles, motorcycles, and bicycles. The number of individuals living with SCI is expected to increase in view of population growth, which is concerning because of the specialised care that people with SCI can require. Our study was limited by data sparsity in some regions, and it will be important to invest greater resources in collection of data for TBI and SCI to improve the accuracy of future assessments.
- ItemImpacts of tooth loss on OHRQoL in an adult population in Cape Town, South Africa(MDPI, 2021) Kimmie-Dhansay, Faheema; Pontes, Carla Cruvinel; Chikte, Usuf M. E.; Chinhenzva, Albert; Erasmus, Rajiv T.; Kengne, Andre Pascal; Matsha, Tandi E.(1) Background: Tooth loss is an important component of the global burden of oral disease, greatly reducing the quality of life of those affected. Tooth loss can also affect diet and subsequent incidences of lifestyle diseases, such as hypertension and metabolic syndromes. This study aimed to evaluate the oral health-related quality of life (OHRQoL) score using the oral impacts on daily performance (OIDP) index in relation to tooth loss patterns among adults. (2) Methods: From 2014 to 2016, a cross-sectional study was conducted on adults living in Bellville South, Cape Town, South Africa. The OHRQoL measure was used to evaluate the impact of tooth loss. (3) Results: A total of 1615 participants were included, and 143 (8.85%) had at least one impact (OIDP > 0). Males were less likely to experience at least one impact compared to the females, OR=0.6, 95% C.I.: 0.385 to 0.942, p = 0.026. Those participants who did not seek dental help due to financial constraints were 6.54 (4.49 to 9.54) times more likely to experience at least one impact, p < 0.001. (4) Conclusions: Tooth loss did not impact the OHRQoL of these subjects. There was no difference in the reported odds for participants experiencing at least one oral impact with the loss of their four anterior teeth, the loss of their posterior occlusal pairs, or the loss of their other teeth.
- ItemA multi-parameter diagnostic clinical decision tree for the rapid diagnosis of tuberculosis in HIV-positive patients presenting to an emergency centre(Wellcome Trust, 2020-04) Van Hoving, Daniël Jacobus; Meintjes, Graeme; Maartens, Gary; Kengne, Andre PascalBackground: Early diagnosis is essential to reduce the morbidity and mortality of HIV-associated tuberculosis. We developed a multi-parameter clinical decision tree to facilitate rapid diagnosis of tuberculosis using point-of-care diagnostic tests in HIV-positive patients presenting to an emergency centre. Methods: A cross-sectional study was performed in a district hospital emergency centre in a high-HIV-prevalence community in South Africa. Consecutive HIV-positive adults with ≥1 WHO tuberculosis symptoms were enrolled over a 16-month period. Point-of-care ultrasound (PoCUS) and urine lateral flow lipoarabinomannan (LF-LAM) assay were done according to standardized protocols. Participants also received a chest X-ray. Reference standard was the detection of Mycobacterium tuberculosis using Xpert MTB/RIF or culture. Logistic regressions models were used to investigate the independent association between prevalent microbiologically confirmed tuberculosis and clinical and biological variables of interest. A decision tree model to predict tuberculosis was developed using the classification and regression tree algorithm. Results: There were 414 participants enrolled: 171 male, median age 36 years, median CD4 cell count 86 cells/mm3. Tuberculosis prevalence was 42% (n=172). Significant variables used to build the classification tree included ≥2 WHO symptoms, antiretroviral therapy use, LF-LAM, PoCUS independent features (pericardial effusion, ascites, intra-abdominal lymphadenopathy) and chest X-ray. LF-LAM was positioned after WHO symptoms (75% true positive rate, representing 17% of study population). Chest X-ray should be performed next if LF-LAM is negative. The presence of ≤1 PoCUS independent feature in those with ‘possible or unlikely tuberculosis’ on chest x-ray represented 47% of non-tuberculosis participants (true negative rate 83%). In a prediction tree which only included true point-of-care tests, a negative LF-LAM and the presence of ≤2 independent PoCUS features had a 71% true negative rate (representing 53% of sample). Conclusions: LF-LAM should be performed in all adults with suspected HIV-associated tuberculosis (regardless of CD4 cell count) presenting to the emergency centre.
- ItemPolymorphisms in the non-muscle myosin heavy chain gene (MYH9) are associated with lower glomerular filtration rate in mixed ancestry diabetic subjects from South Africa(PLoS, 2012-12) Matsha, Tandi Edith; Masconi, Katya; Yako, Yandiswa Yolanda; Hassan, Mogamat Shafick; Macharia, Muiriri; Erasmus, Rajiv Timothy; Kengne, Andre PascalObjective: Though single nucleotide polymorphisms (SNPs) in the non-muscle myosin gene (MYH9) have been reported to explain most of the excess risk of nondiabetic chronic kidney disease (CKD), in African-Americans, some studies have also shown associations with diabetic end-stage renal disease. We investigated the association of MYH9 SNPs with renal traits in a mixed-ancestry South African population prone to diabetes. Research Design and Methods: Three SNPs known to be associated with CKD (rs4821480, rs5756152 and rs12107) were genotyped using Taqman assay in 716 adults (198 with diabetes) from the Bellville-South community, Cape Town. Glomerular filtration rate was estimated (eGFR) and urinary albumin/creatinine ratio (ACR) assessed. Multivariable regressions were used to relate the SNPs with renal traits. Results: Mean age was 53.6 years, with the expected differences observed in characteristics by diabetic status. Significant associations were found between rs575152 and serum creatinine, and eGFR in the total population, and in diabetic participants (all p#0.003), but not in non-diabetics (all p$0.16), with significant interactions by diabetes status (interactionp# 0.009). The association with ACR was borderline in diabetic participants (p = 0.05) and non-significant in non-diabetics (p = 0.85), with significant interaction (interaction p = 0.02). rs12107 was associated with fasting-, 2-hour glucose and HbA1c in diabetic participants only (interaction-p#0.003), but not with renal traits. Conclusion: MYH9 SNPs were associated with renal traits only in diabetic participants in this population. Our findings and other studies suggest that MYH9 may have a broader genetic risk effect on kidney diseases.