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(författare)
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Genome-wide association study of follicular lymphoma identifies a risk locus at 6p21.32
- 2010
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Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 42:8, s. 661-664
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Tidskriftsartikel (refereegranskat)abstract
- To identify susceptibility loci for non-Hodgkin lymphoma subtypes, we conducted a three-stage genome-wide association study. We identified two variants associated with follicular lymphoma at 6p21.32 (rs10484561, combined P = 1.12 x 10(-29) and rs7755224, combined P = 2.00 x 10(-19); r(2) = 1.0), supporting the idea that major histocompatibility complex genetic variation influences follicular lymphoma susceptibility. We also found confirmatory evidence of a previously reported association between chronic lymphocytic leukemia/small lymphocytic lymphoma and rs735665 (combined P = 4.24 x 10(-9)).
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- Darabi, H., et al.
(författare)
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Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood
- 2021
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Ingår i: Geocarto International. - : Taylor and Francis Ltd.. - 1010-6049 .- 1752-0762.
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Tidskriftsartikel (refereegranskat)abstract
- In this study, a new hybridized machine learning algorithm for urban flood susceptibility mapping, named MultiB-MLPNN, was developed using a multi-boosting technique and MLPNN. The model was tested in Amol City, Iran, a data-scarce city in an ungauged area which is prone to severe flood inundation events and currently lacks flood prevention infrastructure. Performance of the hybridized model was compared with that of a standalone MLPNN model, random forest and boosted regression trees. Area under the curve, efficiency, true skill statistic, Matthews correlation coefficient, misclassification rate, sensitivity and specificity were used to evaluate model performance. In validation, the MultiB-MLPNN model showed the best predictive performance. The hybridized MultiB-MLPNN model is thus useful for generating realistic flood susceptibility maps for data-scarce urban areas. The maps can be used to develop risk-reduction measures to protect urban areas from devastating floods, particularly where available data are insufficient to support physically based hydrological or hydraulic models.
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- Darabi, H, et al.
(författare)
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Single- and multi-locus association tests incorporating phenotype heterogeneity
- 2011
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Ingår i: Human heredity. - : S. Karger AG. - 1423-0062 .- 0001-5652. ; 71:1, s. 11-22
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Tidskriftsartikel (refereegranskat)abstract
- Taking disease subtypes into account when testing for an association between genetic factors and disease risk may help to identify specific aetiologic pathways. One way to assess a genetic association, whilst accounting for heterogeneity, is to use polytomous regression. This approach only allows heterogeneity to be considered in terms of a single categorical variable. In this article, we describe an alternative and novel test of association which incorporates multivariate measures of categorical and continuous heterogeneity. We describe both a single-SNP and a global multi-SNP test and use simulated data to demonstrate the power of the tests when genetic effects differ across disease subtypes. Applying the tests to the study of genetic variation in the oestrogen metabolic pathway and its association with breast cancer risk and prognosticators strengthened our understanding that the modulation of aromatase activity can influence the occurrence of tumours, and their grade and size, in postmenopausal women.
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