ORCID Profile
0000-0002-9524-7027
Current Organisations
Jimma University Institute of Health
,
University of Adelaide
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Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 09-2018
Publisher: Elsevier BV
Date: 11-2018
Publisher: Elsevier BV
Date: 10-2017
Publisher: Massachusetts Medical Society
Date: 20-12-2018
Publisher: Elsevier BV
Date: 12-2018
Publisher: Springer Science and Business Media LLC
Date: 03-08-2017
Publisher: Elsevier BV
Date: 2019
Publisher: Springer Science and Business Media LLC
Date: 21-06-2022
DOI: 10.1038/S42003-022-03554-Y
Abstract: Hormone-related cancers, including cancers of the breast, prostate, ovaries, uterine, and thyroid, globally contribute to the majority of cancer incidence. We hypothesize that hormone-sensitive cancers share common genetic risk factors that have rarely been investigated by previous genomic studies of site-specific cancers. Here, we show that considering hormone-sensitive cancers as a single disease in the UK Biobank reveals shared genetic aetiology. We observe that a significant proportion of variance in disease liability is explained by the genome-wide single nucleotide polymorphisms (SNPs), i.e., SNP-based heritability on the liability scale is estimated as 10.06% (SE 0.70%). Moreover, we find 55 genome-wide significant SNPs for the disease, using a genome-wide association study. Pair-wise analysis also estimates positive genetic correlations between some pairs of hormone-sensitive cancers although they are not statistically significant. Our finding suggests that heritable genetic factors may be a key driver in the mechanism of carcinogenesis shared by hormone-sensitive cancers.
Publisher: Informa UK Limited
Date: 05-2021
DOI: 10.2147/HIV.S304653
Publisher: Springer Science and Business Media LLC
Date: 03-08-2017
Publisher: Springer Science and Business Media LLC
Date: 03-08-2017
Publisher: Elsevier BV
Date: 03-2021
Publisher: Springer Science and Business Media LLC
Date: 03-08-2017
Publisher: Springer Science and Business Media LLC
Date: 27-08-2021
DOI: 10.1038/S41366-021-00942-Y
Abstract: Observational and Mendelian randomization (MR) studies link obesity and cancer, but it remains unclear whether these depend upon related metabolic abnormalities. We used information from 321,472 participants in the UK biobank, including 30,561 cases of obesity-related cancer. We constructed three genetic instruments reflecting higher adiposity together with either "unfavourable" (82 SNPs), "favourable" (24 SNPs) or "neutral" metabolic profile (25 SNPs). We looked at associations with 14 types of cancer, previously suggested to be associated with obesity. All genetic instruments had a strong association with BMI (p < 1 × 10 Higher adiposity associated with a higher risk of non-hormonal cancer but a lower risk of some hormone related cancers. Presence of metabolic abnormalities might aggravate the adverse effects of higher adiposity on cancer. Further studies are warranted to investigate whether interventions on adverse metabolic health may help to alleviate obesity-related cancer risk.
Publisher: Springer Science and Business Media LLC
Date: 03-08-2017
Publisher: Springer Science and Business Media LLC
Date: 03-08-2017
Publisher: Springer Science and Business Media LLC
Date: 03-08-2018
Publisher: Springer Science and Business Media LLC
Date: 03-08-2018
Publisher: Elsevier BV
Date: 03-2018
Publisher: American Medical Association (AMA)
Date: 04-2017
Publisher: American Medical Association (AMA)
Date: 12-2017
Publisher: Public Library of Science (PLoS)
Date: 28-07-2021
DOI: 10.1371/JOURNAL.PNTD.0008824
Abstract: Recent evidence suggests that, in some foci, elimination of onchocerciasis from Africa may be feasible with mass drug administration (MDA) of ivermectin. To achieve continental elimination of transmission, mapping surveys will need to be conducted across all implementation units (IUs) for which endemicity status is currently unknown. Using boosted regression tree models with optimised hyperparameter selection, we estimated environmental suitability for onchocerciasis at the 5 × 5-km resolution across Africa. In order to classify IUs that include locations that are environmentally suitable, we used receiver operating characteristic (ROC) analysis to identify an optimal threshold for suitability concordant with locations where onchocerciasis has been previously detected. This threshold value was then used to classify IUs (more suitable or less suitable) based on the location within the IU with the largest mean prediction. Mean estimates of environmental suitability suggest large areas across West and Central Africa, as well as focal areas of East Africa, are suitable for onchocerciasis transmission, consistent with the presence of current control and elimination of transmission efforts. The ROC analysis identified a mean environmental suitability index of 0·71 as a threshold to classify based on the location with the largest mean prediction within the IU. Of the IUs considered for mapping surveys, 50·2% exceed this threshold for suitability in at least one 5 × 5-km location. The formidable scale of data collection required to map onchocerciasis endemicity across the African continent presents an opportunity to use spatial data to identify areas likely to be suitable for onchocerciasis transmission. National onchocerciasis elimination programmes may wish to consider prioritising these IUs for mapping surveys as human resources, laboratory capacity, and programmatic schedules may constrain survey implementation, and possibly delaying MDA initiation in areas that would ultimately qualify.
Publisher: American Medical Association (AMA)
Date: 05-2018
Publisher: Elsevier BV
Date: 05-2017
Publisher: Springer Science and Business Media LLC
Date: 14-02-2019
Publisher: Elsevier BV
Date: 09-1992
Publisher: Massachusetts Medical Society
Date: 06-07-2017
Publisher: Research Square Platform LLC
Date: 14-10-2021
DOI: 10.21203/RS.3.RS-926833/V1
Abstract: Hormone-related cancers, including cancers of the breast, prostate, ovaries, uterine, and thyroid, globally contribute to the majority of cancer incidence. We hypothesize that hormone-sensitive cancers share common genetic risk factors that have rarely been investigated by previous genomic studies of site-specific cancers. To test this hypothesis, we analysed five hormone-sensitive cancers in the UK Biobank as a single disease. We observed that a significant proportion of variance in disease liability was explained by the genome-wide single nucleotide polymorphisms (SNPs), i.e., SNP-based heritability on the liability scale was estimated as 10.06% (SE 0.70%) for the disease. Moreover, we found 55 genome-wide significant SNPs for the disease, using a genome-wide association study. Our finding suggests that heritable genetic factors may be a key driver in the mechanism of carcinogenesis shared by hormone-sensitive cancers.
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 07-2017
No related grants have been discovered for Muktar Ahmed.