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Your search keyword '"Nijsten, TE"' showing total 3 results
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3 results on '"Nijsten, TE"'

1. Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways (vol 9, 4774, 2018)

Author

Duffy, DL, Zhu, G, Li, X, Sanna, M, Iles, MM, Jacobs, LC, Evans, DM, Yazar, S, Beesley, J, Law, MH, Kraft, P, Visconti, A, Taylor, JC, Liu, F, Wright, MJ, Henders, AK, Bowdler, L, Glass, D, Ikram, MA, Uitterlinden, AG, Madden, PA, Heath, AC, Nelson, EC, Green, AC, Chanock, S, Barrett, JH, Brown, MA, Hayward, NK, MacGregor, S, Sturm, RA, Hewitt, AW, Kayser, M, Hunter, DJ, Bishop, JAN, Spector, TD, Montgomery, GW, Mackey, DA, Smith, GD, Nijsten, TE, Bishop, DT, Bataille, V, Falchi, M, Han, J, Martin, NG, Lee, JE, Brossard, M, Moses, EK, Song, F, Kumar, R, Easton, DF, Pharoah, PDP, Swerdlow, AJ, Kypreou, KP, Harland, M, Randerson-Moor, J, Akslen, LA, Andresen, PA, Avril, M-F, Azizi, E, Scarra, GB, Brown, KM, Debniak, T, Elder, DE, Fang, S, Friedman, E, Galan, P, Ghiorzo, P, Gillanders, EM, Goldstein, AM, Gruis, NA, Hansson, J, Helsing, P, Hocevar, M, Hoiom, V, Ingvar, C, Kanetsky, PA, Chen, WV, Landi, MT, Lang, J, Lathrop, GM, Lubinski, J, Mackie, RM, Mann, GJ, Molven, A, Novakovic, S, Olsson, H, Puig, S, Puig-Butille, JA, Radford-Smith, GL, van der Stoep, N, van Doorn, R, Whiteman, DC, Craig, JE, Schadendorf, D, Simms, LA, Burdon, KP, Nyholt, DR, Pooley, KA, Orr, N, Stratigos, AJ, Cust, AE, Ward, SV, Schulze, H-J, Dunning, AM, Demenais, F, Amos, CI, Duffy, DL, Zhu, G, Li, X, Sanna, M, Iles, MM, Jacobs, LC, Evans, DM, Yazar, S, Beesley, J, Law, MH, Kraft, P, Visconti, A, Taylor, JC, Liu, F, Wright, MJ, Henders, AK, Bowdler, L, Glass, D, Ikram, MA, Uitterlinden, AG, Madden, PA, Heath, AC, Nelson, EC, Green, AC, Chanock, S, Barrett, JH, Brown, MA, Hayward, NK, MacGregor, S, Sturm, RA, Hewitt, AW, Kayser, M, Hunter, DJ, Bishop, JAN, Spector, TD, Montgomery, GW, Mackey, DA, Smith, GD, Nijsten, TE, Bishop, DT, Bataille, V, Falchi, M, Han, J, Martin, NG, Lee, JE, Brossard, M, Moses, EK, Song, F, Kumar, R, Easton, DF, Pharoah, PDP, Swerdlow, AJ, Kypreou, KP, Harland, M, Randerson-Moor, J, Akslen, LA, Andresen, PA, Avril, M-F, Azizi, E, Scarra, GB, Brown, KM, Debniak, T, Elder, DE, Fang, S, Friedman, E, Galan, P, Ghiorzo, P, Gillanders, EM, Goldstein, AM, Gruis, NA, Hansson, J, Helsing, P, Hocevar, M, Hoiom, V, Ingvar, C, Kanetsky, PA, Chen, WV, Landi, MT, Lang, J, Lathrop, GM, Lubinski, J, Mackie, RM, Mann, GJ, Molven, A, Novakovic, S, Olsson, H, Puig, S, Puig-Butille, JA, Radford-Smith, GL, van der Stoep, N, van Doorn, R, Whiteman, DC, Craig, JE, Schadendorf, D, Simms, LA, Burdon, KP, Nyholt, DR, Pooley, KA, Orr, N, Stratigos, AJ, Cust, AE, Ward, SV, Schulze, H-J, Dunning, AM, Demenais, F, and Amos, CI

Abstract

The original version of this Article contained errors in the spelling of the authors Fan Liu and M. Arfan Ikram, which were incorrectly given as Fan Lui and Arfan M. Ikram. In addition, the original version of this Article also contained errors in the author affiliations which are detailed in the associated Publisher Correction.

Published
2019

2. Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways

Author

Duffy, DL, Zhu, G, Li, X, Sanna, M, Iles, MM, Jacobs, LC, Evans, DM, Yazar, S, Beesley, J, Law, MH, Kraft, P, Visconti, A, Taylor, JC, Lui, F, Wright, MJ, Henders, AK, Bowdler, L, Glass, D, Ikram, AM, Uitterlinden, AG, Madden, PA, Heath, AC, Nelson, EC, Green, AC, Chanock, S, Barrett, JH, Brown, MA, Hayward, NK, MacGregor, S, Sturm, RA, Hewitt, AW, Kayser, M, Hunter, DJ, Bishop, JAN, Spector, TD, Montgomery, GW, Mackey, DA, Smith, GD, Nijsten, TE, Bishop, DT, Bataille, V, Falchi, M, Han, J, Martins, NG, Duffy, DL, Zhu, G, Li, X, Sanna, M, Iles, MM, Jacobs, LC, Evans, DM, Yazar, S, Beesley, J, Law, MH, Kraft, P, Visconti, A, Taylor, JC, Lui, F, Wright, MJ, Henders, AK, Bowdler, L, Glass, D, Ikram, AM, Uitterlinden, AG, Madden, PA, Heath, AC, Nelson, EC, Green, AC, Chanock, S, Barrett, JH, Brown, MA, Hayward, NK, MacGregor, S, Sturm, RA, Hewitt, AW, Kayser, M, Hunter, DJ, Bishop, JAN, Spector, TD, Montgomery, GW, Mackey, DA, Smith, GD, Nijsten, TE, Bishop, DT, Bataille, V, Falchi, M, Han, J, and Martins, NG

Abstract

The total number of acquired melanocytic nevi on the skin is strongly correlated with melanoma risk. Here we report a meta-analysis of 11 nevus GWAS from Australia, Netherlands, UK, and USA comprising 52,506 individuals. We confirm known loci including MTAP, PLA2G6, and IRF4, and detect novel SNPs in KITLG and a region of 9q32. In a bivariate analysis combining the nevus results with a recent melanoma GWAS meta-analysis (12,874 cases, 23,203 controls), SNPs near GPRC5A, CYP1B1, PPARGC1B, HDAC4, FAM208B, DOCK8, and SYNE2 reached global significance, and other loci, including MIR146A and OBFC1, reached a suggestive level. Overall, we conclude that most nevus genes affect melanoma risk (KITLG an exception), while many melanoma risk loci do not alter nevus count. For example, variants in TERC and OBFC1 affect both traits, but other telomere length maintenance genes seem to affect melanoma risk only. Our findings implicate multiple pathways in nevogenesis.

Published
2018

3. Prediction of male-pattern baldness from genotypes.

Author

Liu F, Hamer MA, Heilmann S, Herold C, Moebus S, Hofman A, Uitterlinden AG, Nöthen MM, van Duijn CM, Nijsten TE, and Kayser M

Subjects
Adult, Aged, Case-Control Studies, Genetic Loci, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Alopecia genetics, Genotype
Abstract

The global demand for products that effectively prevent the development of male-pattern baldness (MPB) has drastically increased. However, there is currently no established genetic model for the estimation of MPB risk. We conducted a prediction analysis using single-nucleotide polymorphisms (SNPs) identified from previous GWASs of MPB in a total of 2725 German and Dutch males. A logistic regression model considering the genotypes of 25 SNPs from 12 genomic loci demonstrates that early-onset MPB risk is predictable at an accuracy level of 0.74 when 14 SNPs were included in the model, and measured using the area under the receiver-operating characteristic curves (AUC). Considering age as an additional predictor, the model can predict normal MPB status in middle-aged and elderly individuals at a slightly lower accuracy (AUC 0.69-0.71) when 6-11 SNPs were used. A variance partitioning analysis suggests that 55.8% of early-onset MPB genetic liability can be explained by common autosomal SNPs and 23.3% by X-chromosome SNPs. For normal MPB status in elderly individuals, the proportion of explainable variance is lower (42.4% for autosomal and 9.8% for X-chromosome SNPs). The gap between GWAS findings and the variance partitioning results could be explained by a large body of common DNA variants with small effects that will likely be identified in GWAS of increased sample sizes. Although the accuracy obtained here has not reached a clinically desired level, our model was highly informative for up to 19% of Europeans, thus may assist decision making on early MPB intervention actions and in forensic investigations.

Published
2016
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