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Your search keyword '"Ricano Ponce, I."' showing total 9 results
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9 results on '"Ricano Ponce, I."'

2. Impact of Human Genetic Variation on C-Reactive Protein Concentrations and Acute Appendicitis

Author

Ricano Ponce, I., Peeters, T.H.D., Matzaraki, V., Houben, Bert, Achten, Ruth, Cools, Peter, Netea, M.G., Gyssens, I.C.J., Kumar, V., Ricano Ponce, I., Peeters, T.H.D., Matzaraki, V., Houben, Bert, Achten, Ruth, Cools, Peter, Netea, M.G., Gyssens, I.C.J., and Kumar, V.

Abstract

Contains fulltext : 251111.pdf (Publisher’s version ) (Open Access)

Published
2022

3. A systematic review of analytical methods used in genetic association analysis of the X-chromosome

Author

Keur, N.M., Ricano Ponce, I., Kumar, V., Matzaraki, V., Keur, N.M., Ricano Ponce, I., Kumar, V., and Matzaraki, V.

Abstract

Item does not contain fulltext, Genetic association studies have been very successful at elucidating the genetic background of many complex diseases/traits. However, the X-chromosome is often neglected in these studies because of technical difficulties and the fact that most tools only utilize genetic data from autosomes. In this review, we aim to provide an overview of different practical approaches that are followed to incorporate the X-chromosome in association analysis, such as Genome-Wide Association Studies and Expression Quantitative Trait Loci Analysis. In general, the choice of which test statistics is most appropriate will depend on three main criteria: (1) the underlying X-inactivation model, (2) if Hardy-Weinberg equilibrium holds and sex-specific allele frequencies are expected and (3) whether adjustment for confounding variables is required. All in all, it is recommended that a combination of different association tests should be used for the analysis of X-chromosome.

Published
2022

4. Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study

Author

Ricano Ponce, I., Riza, A.L., Nooijer, A.H. de, Pirvu, A., Dorobantu, Stefania, Dragos, Adina, Grondman, Inge, Kumar, V., Netea, M.G., Ioana, Mihai, Ricano Ponce, I., Riza, A.L., Nooijer, A.H. de, Pirvu, A., Dorobantu, Stefania, Dragos, Adina, Grondman, Inge, Kumar, V., Netea, M.G., and Ioana, Mihai

Abstract

Contains fulltext : 283272.pdf (Publisher’s version ) (Open Access)

Published
2022

5. Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study

Author

Ricano Ponce, I., Riza, A.L., Nooijer, A.H. de, Pirvu, A., Dorobantu, Stefania, Dragos, Adina, Grondman, Inge, Kumar, V., Netea, M.G., Ioana, Mihai, Ricano Ponce, I., Riza, A.L., Nooijer, A.H. de, Pirvu, A., Dorobantu, Stefania, Dragos, Adina, Grondman, Inge, Kumar, V., Netea, M.G., and Ioana, Mihai

Abstract

Contains fulltext : 283272.pdf (Publisher’s version ) (Open Access)

Published
2022

6. Impact of Human Genetic Variation on C-Reactive Protein Concentrations and Acute Appendicitis

Author

Ricano Ponce, I., Peeters, T.H.D., Matzaraki, V., Houben, Bert, Achten, Ruth, Cools, Peter, Netea, M.G., Gyssens, I.C.J., Kumar, V., Ricano Ponce, I., Peeters, T.H.D., Matzaraki, V., Houben, Bert, Achten, Ruth, Cools, Peter, Netea, M.G., Gyssens, I.C.J., and Kumar, V.

Abstract

Contains fulltext : 251111.pdf (Publisher’s version ) (Open Access)

Published
2022

7. A systematic review of analytical methods used in genetic association analysis of the X-chromosome

Author

Keur, N.M., Ricano Ponce, I., Kumar, V., Matzaraki, V., Keur, N.M., Ricano Ponce, I., Kumar, V., and Matzaraki, V.

Abstract

Contains fulltext : 286899.pdf (Publisher’s version ) (Open Access), Genetic association studies have been very successful at elucidating the genetic background of many complex diseases/traits. However, the X-chromosome is often neglected in these studies because of technical difficulties and the fact that most tools only utilize genetic data from autosomes. In this review, we aim to provide an overview of different practical approaches that are followed to incorporate the X-chromosome in association analysis, such as Genome-Wide Association Studies and Expression Quantitative Trait Loci Analysis. In general, the choice of which test statistics is most appropriate will depend on three main criteria: (1) the underlying X-inactivation model, (2) if Hardy-Weinberg equilibrium holds and sex-specific allele frequencies are expected and (3) whether adjustment for confounding variables is required. All in all, it is recommended that a combination of different association tests should be used for the analysis of X-chromosome.

Published
2022

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