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Genetic and environmental determinants of stressful life events and their overlap with depression and neuroticism.

Wellcome open research

Clarke TK, Zeng Y, Navrady L, Xia C, Haley C, Campbell A, Navarro P, Amador C, Adams MJ, Howard DM, Soler A, Hayward C, Thomson PA, Smith BH, Padmanabhan S, Hocking LJ, Hall LS, Porteous DJ, Deary IJ, McIntosh AM.
PMID: 30756089
Wellcome Open Res. 2019 Jan 14;3:11. doi: 10.12688/wellcomeopenres.13893.2. eCollection 2018.

No abstract available.

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Clarke TK, Zeng Y, Navrady L, et al. Genetic and environmental determinants of stressful life events and their overlap with depression and neuroticism. Wellcome Open Res. 2019;3:11doi: 10.12688/wellcomeopenres.13893.2.
Clarke, T. K., Zeng, Y., Navrady, L., Xia, C., Haley, C., Campbell, A., Navarro, P., Amador, C., Adams, M. J., Howard, D. M., Soler, A., Hayward, C., Thomson, P. A., Smith, B. H., Padmanabhan, S., Hocking, L. J., Hall, L. S., Porteous, D. J., Deary, I. J., & McIntosh, A. M. (2018). Genetic and environmental determinants of stressful life events and their overlap with depression and neuroticism. Wellcome open research, 311. https://doi.org/10.12688/wellcomeopenres.13893.2
Clarke, Toni-Kim, et al. "Genetic and environmental determinants of stressful life events and their overlap with depression and neuroticism." Wellcome open research vol. 3 (2018): 11. doi: https://doi.org/10.12688/wellcomeopenres.13893.2
Clarke TK, Zeng Y, Navrady L, Xia C, Haley C, Campbell A, Navarro P, Amador C, Adams MJ, Howard DM, Soler A, Hayward C, Thomson PA, Smith BH, Padmanabhan S, Hocking LJ, Hall LS, Porteous DJ, Deary IJ, McIntosh AM. Genetic and environmental determinants of stressful life events and their overlap with depression and neuroticism. Wellcome Open Res. 2019 Jan 14;3:11. doi: 10.12688/wellcomeopenres.13893.2. eCollection 2018. PMID: 30756089; PMCID: PMC6352921.
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Identification of epigenome-wide DNA methylation differences between carriers of APOE ε4 and APOE ε2 alleles.

Genome medicine

Walker RM, Vaher K, Bermingham ML, Morris SW, Bretherick AD, Zeng Y, Rawlik K, Amador C, Campbell A, Haley CS, Hayward C, Porteous DJ, McIntosh AM, Marioni RE, Evans KL.
PMID: 33397400
Genome Med. 2021 Jan 04;13(1):1. doi: 10.1186/s13073-020-00808-4.

BACKGROUND: The apolipoprotein E (APOE) ε4 allele is the strongest genetic risk factor for late onset Alzheimer's disease, whilst the ε2 allele confers protection. Previous studies report differential DNA methylation of APOE between ε4 and ε2 carriers, but associations...

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Walker RM, Vaher K, Bermingham ML, et al. Identification of epigenome-wide DNA methylation differences between carriers of APOE ε4 and APOE ε2 alleles. Genome Med. 2021;13(1):1doi: 10.1186/s13073-020-00808-4.
Walker, R. M., Vaher, K., Bermingham, M. L., Morris, S. W., Bretherick, A. D., Zeng, Y., Rawlik, K., Amador, C., Campbell, A., Haley, C. S., Hayward, C., Porteous, D. J., McIntosh, A. M., Marioni, R. E., & Evans, K. L. (2021). Identification of epigenome-wide DNA methylation differences between carriers of APOE ε4 and APOE ε2 alleles. Genome medicine, 13(1), 1. https://doi.org/10.1186/s13073-020-00808-4
Walker, Rosie M, et al. "Identification of epigenome-wide DNA methylation differences between carriers of APOE ε4 and APOE ε2 alleles." Genome medicine vol. 13,1 (2021): 1. doi: https://doi.org/10.1186/s13073-020-00808-4
Walker RM, Vaher K, Bermingham ML, Morris SW, Bretherick AD, Zeng Y, Rawlik K, Amador C, Campbell A, Haley CS, Hayward C, Porteous DJ, McIntosh AM, Marioni RE, Evans KL. Identification of epigenome-wide DNA methylation differences between carriers of APOE ε4 and APOE ε2 alleles. Genome Med. 2021 Jan 04;13(1):1. doi: 10.1186/s13073-020-00808-4. PMID: 33397400; PMCID: PMC7784364.
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Publisher Correction: Parent of origin genetic effects on methylation in humans are common and influence complex trait variation.

Nature communications

Zeng Y, Amador C, Xia C, Marioni R, Sproul D, Walker RM, Morris SW, Bretherick A, Canela-Xandri O, Boutin TS, Clark DW, Campbell A, Rawlik K, Hayward C, Nagy R, Tenesa A, Porteous DJ, Wilson JF, Deary IJ, Evans KL, McIntosh AM, Navarro P, Haley CS.
PMID: 31043600
Nat Commun. 2019 May 01;10(1):2069. doi: 10.1038/s41467-019-10155-7.

In the original version of this Article, the legend in the upper panel of Figure 2 incorrectly read 'paternal imprinting' and should have read 'maternal imprinting'. This has been corrected in both the PDF and HTML versions of the...

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Zeng Y, Amador C, Xia C, et al. Publisher Correction: Parent of origin genetic effects on methylation in humans are common and influence complex trait variation. Nat Commun. 2019;10(1):2069doi: 10.1038/s41467-019-10155-7.
Zeng, Y., Amador, C., Xia, C., Marioni, R., Sproul, D., Walker, R. M., Morris, S. W., Bretherick, A., Canela-Xandri, O., Boutin, T. S., Clark, D. W., Campbell, A., Rawlik, K., Hayward, C., Nagy, R., Tenesa, A., Porteous, D. J., Wilson, J. F., Deary, I. J., Evans, K. L., McIntosh, A. M., Navarro, P., & Haley, C. S. (2019). Publisher Correction: Parent of origin genetic effects on methylation in humans are common and influence complex trait variation. Nature communications, 10(1), 2069. https://doi.org/10.1038/s41467-019-10155-7
Zeng, Yanni, et al. "Publisher Correction: Parent of origin genetic effects on methylation in humans are common and influence complex trait variation." Nature communications vol. 10,1 (2019): 2069. doi: https://doi.org/10.1038/s41467-019-10155-7
Zeng Y, Amador C, Xia C, Marioni R, Sproul D, Walker RM, Morris SW, Bretherick A, Canela-Xandri O, Boutin TS, Clark DW, Campbell A, Rawlik K, Hayward C, Nagy R, Tenesa A, Porteous DJ, Wilson JF, Deary IJ, Evans KL, McIntosh AM, Navarro P, Haley CS. Publisher Correction: Parent of origin genetic effects on methylation in humans are common and influence complex trait variation. Nat Commun. 2019 May 01;10(1):2069. doi: 10.1038/s41467-019-10155-7. PMID: 31043600; PMCID: PMC6494888.
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Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference.

Metabolites

Benedetti E, Gerstner N, Pučić-Baković M, Keser T, Reiding KR, Ruhaak LR, Štambuk T, Selman MHJ, Rudan I, Polašek O, Hayward C, Beekman M, Slagboom E, Wuhrer M, Dunlop MG, Lauc G, Krumsiek J.
PMID: 32630764
Metabolites. 2020 Jul 02;10(7). doi: 10.3390/metabo10070271.

Glycomics measurements, like all other high-throughput technologies, are subject to technical variation due to fluctuations in the experimental conditions. The removal of this non-biological signal from the data is referred to as normalization. Contrary to other omics data types,...

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Benedetti E, Gerstner N, Pučić-Baković M, et al. Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference. Metabolites. 2020;10(7)doi: 10.3390/metabo10070271.
Benedetti, E., Gerstner, N., Pučić-Baković, M., Keser, T., Reiding, K. R., Ruhaak, L. R., Štambuk, T., Selman, M. H. J., Rudan, I., Polašek, O., Hayward, C., Beekman, M., Slagboom, E., Wuhrer, M., Dunlop, M. G., Lauc, G., & Krumsiek, J. (2020). Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference. Metabolites, 10(7), . https://doi.org/10.3390/metabo10070271
Benedetti, Elisa, et al. "Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference." Metabolites vol. 10,7 (2020). doi: https://doi.org/10.3390/metabo10070271
Benedetti E, Gerstner N, Pučić-Baković M, Keser T, Reiding KR, Ruhaak LR, Štambuk T, Selman MHJ, Rudan I, Polašek O, Hayward C, Beekman M, Slagboom E, Wuhrer M, Dunlop MG, Lauc G, Krumsiek J. Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference. Metabolites. 2020 Jul 02;10(7). doi: 10.3390/metabo10070271. PMID: 32630764; PMCID: PMC7408386.
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Assessment of dried blood spots for DNA methylation profiling.

Wellcome open research

Walker RM, MacGillivray L, McCafferty S, Wrobel N, Murphy L, Kerr SM, Morris SW, Campbell A, McIntosh AM, Porteous DJ, Evans KL.
PMID: 30984878
Wellcome Open Res. 2019 Mar 06;4:44. doi: 10.12688/wellcomeopenres.15136.1. eCollection 2019.

No abstract available.

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Walker RM, MacGillivray L, McCafferty S, et al. Assessment of dried blood spots for DNA methylation profiling. Wellcome Open Res. 2019;4:44doi: 10.12688/wellcomeopenres.15136.1.
Walker, R. M., MacGillivray, L., McCafferty, S., Wrobel, N., Murphy, L., Kerr, S. M., Morris, S. W., Campbell, A., McIntosh, A. M., Porteous, D. J., & Evans, K. L. (2019). Assessment of dried blood spots for DNA methylation profiling. Wellcome open research, 444. https://doi.org/10.12688/wellcomeopenres.15136.1
Walker, Rosie M, et al. "Assessment of dried blood spots for DNA methylation profiling." Wellcome open research vol. 4 (2019): 44. doi: https://doi.org/10.12688/wellcomeopenres.15136.1
Walker RM, MacGillivray L, McCafferty S, Wrobel N, Murphy L, Kerr SM, Morris SW, Campbell A, McIntosh AM, Porteous DJ, Evans KL. Assessment of dried blood spots for DNA methylation profiling. Wellcome Open Res. 2019 Mar 06;4:44. doi: 10.12688/wellcomeopenres.15136.1. eCollection 2019. PMID: 30984878; PMCID: PMC6446498.
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Genetic and shared couple environmental contributions to smoking and alcohol use in the UK population.

Molecular psychiatry

Clarke TK, Adams MJ, Howard DM, Xia C, Davies G, Hayward C, Campbell A, Padmanabhan S, Smith BH, Murray A, Porteous D, Deary IJ, McIntosh AM.
PMID: 31767999
Mol Psychiatry. 2021 Aug;26(8):4344-4354. doi: 10.1038/s41380-019-0607-x. Epub 2019 Nov 25.

Alcohol use and smoking are leading causes of death and disability worldwide. Both genetic and environmental factors have been shown to influence individual differences in the use of these substances. In the present study we tested whether genetic factors,...

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Clarke TK, Adams MJ, Howard DM, et al. Genetic and shared couple environmental contributions to smoking and alcohol use in the UK population. Mol Psychiatry. 2019;26(8):4344-4354doi: 10.1038/s41380-019-0607-x.
Clarke, T. K., Adams, M. J., Howard, D. M., Xia, C., Davies, G., Hayward, C., Campbell, A., Padmanabhan, S., Smith, B. H., Murray, A., Porteous, D., Deary, I. J., & McIntosh, A. M. (2021). Genetic and shared couple environmental contributions to smoking and alcohol use in the UK population. Molecular psychiatry, 26(8), 4344-4354. https://doi.org/10.1038/s41380-019-0607-x
Clarke, Toni-Kim, et al. "Genetic and shared couple environmental contributions to smoking and alcohol use in the UK population." Molecular psychiatry vol. 26,8 (2021): 4344-4354. doi: https://doi.org/10.1038/s41380-019-0607-x
Clarke TK, Adams MJ, Howard DM, Xia C, Davies G, Hayward C, Campbell A, Padmanabhan S, Smith BH, Murray A, Porteous D, Deary IJ, McIntosh AM. Genetic and shared couple environmental contributions to smoking and alcohol use in the UK population. Mol Psychiatry. 2021 Aug;26(8):4344-4354. doi: 10.1038/s41380-019-0607-x. Epub 2019 Nov 25. PMID: 31767999; PMCID: PMC8550945.
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Mendelian randomization to assess causality between uromodulin, blood pressure and chronic kidney disease.

Kidney international

Ponte B, Sadler MC, Olinger E, Vollenweider P, Bochud M, Padmanabhan S, Hayward C, Kutalik Z, Devuyst O.
PMID: 34634361
Kidney Int. 2021 Dec;100(6):1282-1291. doi: 10.1016/j.kint.2021.08.032. Epub 2021 Oct 09.

UMOD variants associated with higher levels of urinary uromodulin (uUMOD) increase the risk of chronic kidney disease (CKD) and hypertension. However, uUMOD levels also reflect functional kidney tubular mass in observational studies, questioning the causal link between uromodulin production...

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Ponte B, Sadler MC, Olinger E, et al. Mendelian randomization to assess causality between uromodulin, blood pressure and chronic kidney disease. Kidney Int. 2021;100(6):1282-1291doi: 10.1016/j.kint.2021.08.032.
Ponte, B., Sadler, M. C., Olinger, E., Vollenweider, P., Bochud, M., Padmanabhan, S., Hayward, C., Kutalik, Z., & Devuyst, O. (2021). Mendelian randomization to assess causality between uromodulin, blood pressure and chronic kidney disease. Kidney international, 100(6), 1282-1291. https://doi.org/10.1016/j.kint.2021.08.032
Ponte, Belen, et al. "Mendelian randomization to assess causality between uromodulin, blood pressure and chronic kidney disease." Kidney international vol. 100,6 (2021): 1282-1291. doi: https://doi.org/10.1016/j.kint.2021.08.032
Ponte B, Sadler MC, Olinger E, Vollenweider P, Bochud M, Padmanabhan S, Hayward C, Kutalik Z, Devuyst O. Mendelian randomization to assess causality between uromodulin, blood pressure and chronic kidney disease. Kidney Int. 2021 Dec;100(6):1282-1291. doi: 10.1016/j.kint.2021.08.032. Epub 2021 Oct 09. PMID: 34634361.
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Epigenetic scores for the circulating proteome as tools for disease prediction.

eLife

Gadd DA, Hillary RF, McCartney DL, Zaghlool SB, Stevenson AJ, Cheng Y, Fawns-Ritchie C, Nangle C, Campbell A, Flaig R, Harris SE, Walker RM, Shi L, Tucker-Drob EM, Gieger C, Peters A, Waldenberger M, Graumann J, McRae AF, Deary IJ, Porteous DJ, Hayward C, Visscher PM, Cox SR, Evans KL, McIntosh AM, Suhre K, Marioni RE.
PMID: 35023833
Elife. 2022 Jan 13;11. doi: 10.7554/eLife.71802. Epub 2022 Jan 13.

Protein biomarkers have been identified across many age-related morbidities. However, characterising epigenetic influences could further inform disease predictions. Here, we leverage epigenome-wide data to study links between the DNAm signatures of the circulating proteome and incident diseases. Using data...

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Gadd DA, Hillary RF, McCartney DL, et al. Epigenetic scores for the circulating proteome as tools for disease prediction. Elife. 2022;11doi: 10.7554/eLife.71802.
Gadd, D. A., Hillary, R. F., McCartney, D. L., Zaghlool, S. B., Stevenson, A. J., Cheng, Y., Fawns-Ritchie, C., Nangle, C., Campbell, A., Flaig, R., Harris, S. E., Walker, R. M., Shi, L., Tucker-Drob, E. M., Gieger, C., Peters, A., Waldenberger, M., Graumann, J., McRae, A. F., Deary, I. J., Porteous, D. J., Hayward, C., Visscher, P. M., Cox, S. R., Evans, K. L., McIntosh, A. M., Suhre, K., & Marioni, R. E. (2022). Epigenetic scores for the circulating proteome as tools for disease prediction. eLife, 11. https://doi.org/10.7554/eLife.71802
Gadd, Danni A, et al. "Epigenetic scores for the circulating proteome as tools for disease prediction." eLife vol. 11 (2022). doi: https://doi.org/10.7554/eLife.71802
Gadd DA, Hillary RF, McCartney DL, Zaghlool SB, Stevenson AJ, Cheng Y, Fawns-Ritchie C, Nangle C, Campbell A, Flaig R, Harris SE, Walker RM, Shi L, Tucker-Drob EM, Gieger C, Peters A, Waldenberger M, Graumann J, McRae AF, Deary IJ, Porteous DJ, Hayward C, Visscher PM, Cox SR, Evans KL, McIntosh AM, Suhre K, Marioni RE. Epigenetic scores for the circulating proteome as tools for disease prediction. Elife. 2022 Jan 13;11. doi: 10.7554/eLife.71802. Epub 2022 Jan 13. PMID: 35023833.
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Variants associated with .

Wellcome open research

Fawcett KA, Obeidat M, Melbourne C, Shrine N, Guyatt AL, John C, Luan J, Richmond A, Moksnes MR, Granell R, Weiss S, Imboden M, May-Wilson S, Hysi P, Boutin TS, Portas L, Flexeder C, Harris SE, Wang CA, Lyytikäinen LP, Palviainen T, Foong RE, Keidel D, Minelli C, Langenberg C, Bossé Y, Van den Berge M, Sin DD, Hao K, Campbell A, Porteous D, Padmanabhan S, Smith BH, Evans DM, Ring S, Langhammer A, Hveem K, Willer C, Ewert R, Stubbe B, Pirastu N, Klaric L, Joshi PK, Patasova K, Massimo M, Polasek O, Starr JM, Karrasch S, Strauch K, Meitinger T, Rudan I, Rantanen T, Pietiläinen K, Kähönen M, Raitakari OT, Hall GL, Sly PD, Pennell CE, Kaprio J, Lehtimäki T, Vitart V, Deary IJ, Jarvis D, Wilson JF, Spector T, Probst-Hensch N, Wareham NJ, Völzke H, Henderson J, Strachan DP, Brumpton BM, Hayward C, Hall IP, Tobin MD, Wain LV.
PMID: 33728380
Wellcome Open Res. 2020 Jun 01;5:111. doi: 10.12688/wellcomeopenres.15846.1. eCollection 2020.

No abstract available.

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Fawcett KA, Obeidat M, Melbourne C, et al. Variants associated with . Wellcome Open Res. 2020;5:111doi: 10.12688/wellcomeopenres.15846.1.
Fawcett, K. A., Obeidat, M., Melbourne, C., Shrine, N., Guyatt, A. L., John, C., Luan, J., Richmond, A., Moksnes, M. R., Granell, R., Weiss, S., Imboden, M., May-Wilson, S., Hysi, P., Boutin, T. S., Portas, L., Flexeder, C., Harris, S. E., Wang, C. A., Lyytikäinen, L. P., Palviainen, T., Foong, R. E., Keidel, D., Minelli, C., Langenberg, C., Bossé, Y., Van den Berge, M., Sin, D. D., Hao, K., Campbell, A., Porteous, D., Padmanabhan, S., Smith, B. H., Evans, D. M., Ring, S., Langhammer, A., Hveem, K., Willer, C., Ewert, R., Stubbe, B., Pirastu, N., Klaric, L., Joshi, P. K., Patasova, K., Massimo, M., Polasek, O., Starr, J. M., Karrasch, S., Strauch, K., Meitinger, T., Rudan, I., Rantanen, T., Pietiläinen, K., Kähönen, M., Raitakari, O. T., Hall, G. L., Sly, P. D., Pennell, C. E., Kaprio, J., Lehtimäki, T., Vitart, V., Deary, I. J., Jarvis, D., Wilson, J. F., Spector, T., Probst-Hensch, N., Wareham, N. J., Völzke, H., Henderson, J., Strachan, D. P., Brumpton, B. M., Hayward, C., Hall, I. P., Tobin, M. D., & Wain, L. V. (2020). Variants associated with . Wellcome open research, 5111. https://doi.org/10.12688/wellcomeopenres.15846.1
Fawcett, Katherine A, et al. "Variants associated with ." Wellcome open research vol. 5 (2020): 111. doi: https://doi.org/10.12688/wellcomeopenres.15846.1
Fawcett KA, Obeidat M, Melbourne C, Shrine N, Guyatt AL, John C, Luan J, Richmond A, Moksnes MR, Granell R, Weiss S, Imboden M, May-Wilson S, Hysi P, Boutin TS, Portas L, Flexeder C, Harris SE, Wang CA, Lyytikäinen LP, Palviainen T, Foong RE, Keidel D, Minelli C, Langenberg C, Bossé Y, Van den Berge M, Sin DD, Hao K, Campbell A, Porteous D, Padmanabhan S, Smith BH, Evans DM, Ring S, Langhammer A, Hveem K, Willer C, Ewert R, Stubbe B, Pirastu N, Klaric L, Joshi PK, Patasova K, Massimo M, Polasek O, Starr JM, Karrasch S, Strauch K, Meitinger T, Rudan I, Rantanen T, Pietiläinen K, Kähönen M, Raitakari OT, Hall GL, Sly PD, Pennell CE, Kaprio J, Lehtimäki T, Vitart V, Deary IJ, Jarvis D, Wilson JF, Spector T, Probst-Hensch N, Wareham NJ, Völzke H, Henderson J, Strachan DP, Brumpton BM, Hayward C, Hall IP, Tobin MD, Wain LV. Variants associated with . Wellcome Open Res. 2020 Jun 01;5:111. doi: 10.12688/wellcomeopenres.15846.1. eCollection 2020. PMID: 33728380; PMCID: PMC7938335.
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A mouse model of brittle cornea syndrome caused by mutation in Zfp469.

Disease models & mechanisms

Stanton CM, Findlay AS, Drake C, Mustafa MZ, Gautier P, McKie L, Jackson IJ, Vitart V.
PMID: 34368841
Dis Model Mech. 2021 Sep 01;14(9). doi: 10.1242/dmm.049175. Epub 2021 Sep 22.

Brittle cornea syndrome (BCS) is a rare recessive condition characterised by extreme thinning of the cornea and sclera. BCS results from loss-of-function mutations in the poorly understood genes ZNF469 or PRDM5. In order to determine the function of ZNF469...

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Stanton CM, Findlay AS, Drake C, et al. A mouse model of brittle cornea syndrome caused by mutation in Zfp469. Dis Model Mech. 2021;14(9)doi: 10.1242/dmm.049175.
Stanton, C. M., Findlay, A. S., Drake, C., Mustafa, M. Z., Gautier, P., McKie, L., Jackson, I. J., & Vitart, V. (2021). A mouse model of brittle cornea syndrome caused by mutation in Zfp469. Disease models & mechanisms, 14(9), . https://doi.org/10.1242/dmm.049175
Stanton, Chloe M, et al. "A mouse model of brittle cornea syndrome caused by mutation in Zfp469." Disease models & mechanisms vol. 14,9 (2021). doi: https://doi.org/10.1242/dmm.049175
Stanton CM, Findlay AS, Drake C, Mustafa MZ, Gautier P, McKie L, Jackson IJ, Vitart V. A mouse model of brittle cornea syndrome caused by mutation in Zfp469. Dis Model Mech. 2021 Sep 01;14(9). doi: 10.1242/dmm.049175. Epub 2021 Sep 22. PMID: 34368841; PMCID: PMC8476817.
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Epigenome-wide analyses identify DNA methylation signatures of dementia risk.

Alzheimer's & dementia (Amsterdam, Netherlands)

Walker RM, Bermingham ML, Vaher K, Morris SW, Clarke TK, Bretherick AD, Zeng Y, Amador C, Rawlik K, Pandya K, Hayward C, Campbell A, Porteous DJ, McIntosh AM, Marioni RE, Evans KL.
PMID: 32789163
Alzheimers Dement (Amst). 2020 Aug 10;12(1):e12078. doi: 10.1002/dad2.12078. eCollection 2020.

INTRODUCTION: Dementia pathogenesis begins years before clinical symptom onset, necessitating the understanding of premorbid risk mechanisms. Here we investigated potential pathogenic mechanisms by assessing DNA methylation associations with dementia risk factors in Alzheimer's disease (AD)-free participants.METHODS: Associations between dementia...

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Walker RM, Bermingham ML, Vaher K, et al. Epigenome-wide analyses identify DNA methylation signatures of dementia risk. Alzheimers Dement (Amst). 2020;12(1):e12078doi: 10.1002/dad2.12078.
Walker, R. M., Bermingham, M. L., Vaher, K., Morris, S. W., Clarke, T. K., Bretherick, A. D., Zeng, Y., Amador, C., Rawlik, K., Pandya, K., Hayward, C., Campbell, A., Porteous, D. J., McIntosh, A. M., Marioni, R. E., & Evans, K. L. (2020). Epigenome-wide analyses identify DNA methylation signatures of dementia risk. Alzheimer's & dementia (Amsterdam, Netherlands), 12(1), e12078. https://doi.org/10.1002/dad2.12078
Walker, Rosie M, et al. "Epigenome-wide analyses identify DNA methylation signatures of dementia risk." Alzheimer's & dementia (Amsterdam, Netherlands) vol. 12,1 (2020): e12078. doi: https://doi.org/10.1002/dad2.12078
Walker RM, Bermingham ML, Vaher K, Morris SW, Clarke TK, Bretherick AD, Zeng Y, Amador C, Rawlik K, Pandya K, Hayward C, Campbell A, Porteous DJ, McIntosh AM, Marioni RE, Evans KL. Epigenome-wide analyses identify DNA methylation signatures of dementia risk. Alzheimers Dement (Amst). 2020 Aug 10;12(1):e12078. doi: 10.1002/dad2.12078. eCollection 2020. PMID: 32789163; PMCID: PMC7416667.
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Molecular Genetic Risk for Psychosis Is Associated With Psychosis Risk Symptoms in a Population-Based UK Cohort: Findings From Generation Scotland.

Schizophrenia bulletin

Docherty AR, Shabalin AA, Adkins DE, Mann F, Krueger RF, Bacanu SA, Campbell A, Hayward C, Porteous DJ, McIntosh AM, Kendler KS.
PMID: 32221549
Schizophr Bull. 2020 Mar 27; doi: 10.1093/schbul/sbaa042. Epub 2020 Mar 27.

OBJECTIVE: Subthreshold psychosis risk symptoms in the general population may be associated with molecular genetic risk for psychosis. This study sought to optimize the association of risk symptoms with genetic risk for psychosis in a large population-based cohort in...

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Docherty AR, Shabalin AA, Adkins DE, et al. Molecular Genetic Risk for Psychosis Is Associated With Psychosis Risk Symptoms in a Population-Based UK Cohort: Findings From Generation Scotland. Schizophr Bull. 2020;doi: 10.1093/schbul/sbaa042.
Docherty, A. R., Shabalin, A. A., Adkins, D. E., Mann, F., Krueger, R. F., Bacanu, S. A., Campbell, A., Hayward, C., Porteous, D. J., McIntosh, A. M., & Kendler, K. S. (2020). Molecular Genetic Risk for Psychosis Is Associated With Psychosis Risk Symptoms in a Population-Based UK Cohort: Findings From Generation Scotland. Schizophrenia bulletin, . https://doi.org/10.1093/schbul/sbaa042
Docherty, Anna R, et al. "Molecular Genetic Risk for Psychosis Is Associated With Psychosis Risk Symptoms in a Population-Based UK Cohort: Findings From Generation Scotland." Schizophrenia bulletin vol. (2020). doi: https://doi.org/10.1093/schbul/sbaa042
Docherty AR, Shabalin AA, Adkins DE, Mann F, Krueger RF, Bacanu SA, Campbell A, Hayward C, Porteous DJ, McIntosh AM, Kendler KS. Molecular Genetic Risk for Psychosis Is Associated With Psychosis Risk Symptoms in a Population-Based UK Cohort: Findings From Generation Scotland. Schizophr Bull. 2020 Mar 27; doi: 10.1093/schbul/sbaa042. Epub 2020 Mar 27. PMID: 32221549; PMCID: PMC7505177.
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