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Associations between alcohol use and accelerated biological ageing.

Addiction biology

Bøstrand SMK, Vaher K, de Nooij L, Harris MA, Cole JH, Cox SR, Marioni RE, McCartney DL, Walker RM, McIntosh AM, Evans KL, Whalley HC, Wootton RE, Clarke TK.
PMID: 34636470
Addict Biol. 2021 Oct 12;e13100. doi: 10.1111/adb.13100. Epub 2021 Oct 12.

Harmful alcohol use is a leading cause of premature death and is associated with age-related disease. Biological ageing is highly variable between individuals and may deviate from chronological ageing, suggesting that biomarkers of biological ageing (derived from DNA methylation...

Cite
Bøstrand SMK, Vaher K, de Nooij L, et al. Associations between alcohol use and accelerated biological ageing. Addict Biol. 2021;e13100doi: 10.1111/adb.13100.
Bøstrand, S. M. K., Vaher, K., de Nooij, L., Harris, M. A., Cole, J. H., Cox, S. R., Marioni, R. E., McCartney, D. L., Walker, R. M., McIntosh, A. M., Evans, K. L., Whalley, H. C., Wootton, R. E., & Clarke, T. K. (2021). Associations between alcohol use and accelerated biological ageing. Addiction biology, e13100. https://doi.org/10.1111/adb.13100
Bøstrand, Sunniva M K, et al. "Associations between alcohol use and accelerated biological ageing." Addiction biology vol. (2021): e13100. doi: https://doi.org/10.1111/adb.13100
Bøstrand SMK, Vaher K, de Nooij L, Harris MA, Cole JH, Cox SR, Marioni RE, McCartney DL, Walker RM, McIntosh AM, Evans KL, Whalley HC, Wootton RE, Clarke TK. Associations between alcohol use and accelerated biological ageing. Addict Biol. 2021 Oct 12;e13100. doi: 10.1111/adb.13100. Epub 2021 Oct 12. PMID: 34636470.
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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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Automated classification of depression from structural brain measures across two independent community-based cohorts.

Human brain mapping

Stolicyn A, Harris MA, Shen X, Barbu MC, Adams MJ, Hawkins EL, de Nooij L, Yeung HW, Murray AD, Lawrie SM, Steele JD, McIntosh AM, Whalley HC.
PMID: 32558996
Hum Brain Mapp. 2020 Oct 01;41(14):3922-3937. doi: 10.1002/hbm.25095. Epub 2020 Jun 19.

Major depressive disorder (MDD) has been the subject of many neuroimaging case-control classification studies. Although some studies report accuracies ≥80%, most have investigated relatively small samples of clinically-ascertained, currently symptomatic cases, and did not attempt replication in larger samples....

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Stolicyn A, Harris MA, Shen X, et al. Automated classification of depression from structural brain measures across two independent community-based cohorts. Hum Brain Mapp. 2020;41(14):3922-3937doi: 10.1002/hbm.25095.
Stolicyn, A., Harris, M. A., Shen, X., Barbu, M. C., Adams, M. J., Hawkins, E. L., de Nooij, L., Yeung, H. W., Murray, A. D., Lawrie, S. M., Steele, J. D., McIntosh, A. M., & Whalley, H. C. (2020). Automated classification of depression from structural brain measures across two independent community-based cohorts. Human brain mapping, 41(14), 3922-3937. https://doi.org/10.1002/hbm.25095
Stolicyn, Aleks, et al. "Automated classification of depression from structural brain measures across two independent community-based cohorts." Human brain mapping vol. 41,14 (2020): 3922-3937. doi: https://doi.org/10.1002/hbm.25095
Stolicyn A, Harris MA, Shen X, Barbu MC, Adams MJ, Hawkins EL, de Nooij L, Yeung HW, Murray AD, Lawrie SM, Steele JD, McIntosh AM, Whalley HC. Automated classification of depression from structural brain measures across two independent community-based cohorts. Hum Brain Mapp. 2020 Oct 01;41(14):3922-3937. doi: 10.1002/hbm.25095. Epub 2020 Jun 19. PMID: 32558996; PMCID: PMC7469862.
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Comparison of structural MRI brain measures between 1.5 and 3 T: Data from the Lothian Birth Cohort 1936.

Human brain mapping

Buchanan CR, Muñoz Maniega S, Valdés Hernández MC, Ballerini L, Barclay G, Taylor AM, Russ TC, Tucker-Drob EM, Wardlaw JM, Deary IJ, Bastin ME, Cox SR.
PMID: 34008899
Hum Brain Mapp. 2021 Aug 15;42(12):3905-3921. doi: 10.1002/hbm.25473. Epub 2021 May 19.

Multi-scanner MRI studies are reliant on understanding the apparent differences in imaging measures between different scanners. We provide a comprehensive analysis of T

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Buchanan CR, Muñoz Maniega S, Valdés Hernández MC, et al. Comparison of structural MRI brain measures between 1.5 and 3 T: Data from the Lothian Birth Cohort 1936. Hum Brain Mapp. 2021;42(12):3905-3921doi: 10.1002/hbm.25473.
Buchanan, C. R., Muñoz Maniega, S., Valdés Hernández, M. C., Ballerini, L., Barclay, G., Taylor, A. M., Russ, T. C., Tucker-Drob, E. M., Wardlaw, J. M., Deary, I. J., Bastin, M. E., & Cox, S. R. (2021). Comparison of structural MRI brain measures between 1.5 and 3 T: Data from the Lothian Birth Cohort 1936. Human brain mapping, 42(12), 3905-3921. https://doi.org/10.1002/hbm.25473
Buchanan, Colin R, et al. "Comparison of structural MRI brain measures between 1.5 and 3 T: Data from the Lothian Birth Cohort 1936." Human brain mapping vol. 42,12 (2021): 3905-3921. doi: https://doi.org/10.1002/hbm.25473
Buchanan CR, Muñoz Maniega S, Valdés Hernández MC, Ballerini L, Barclay G, Taylor AM, Russ TC, Tucker-Drob EM, Wardlaw JM, Deary IJ, Bastin ME, Cox SR. Comparison of structural MRI brain measures between 1.5 and 3 T: Data from the Lothian Birth Cohort 1936. Hum Brain Mapp. 2021 Aug 15;42(12):3905-3921. doi: 10.1002/hbm.25473. Epub 2021 May 19. PMID: 34008899; PMCID: PMC8288101.
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Genome-Wide Association Study of NAFLD Using Electronic Health Records.

Hepatology communications

Fairfield CJ, Drake TM, Pius R, Bretherick AD, Campbell A, Clark DW, Fallowfield JA, Hayward C, Henderson NC, Joshi PK, Mills NL, Porteous DJ, Ramachandran P, Semple RK, Shaw CA, Sudlow CLM, Timmers PRHJ, Wilson JF, Wigmore SJ, Harrison EM, Spiliopoulou A.
PMID: 34535985
Hepatol Commun. 2021 Sep 17; doi: 10.1002/hep4.1805. Epub 2021 Sep 17.

Genome-wide association studies (GWAS) have identified several risk loci for nonalcoholic fatty liver disease (NAFLD). Previous studies have largely relied on small sample sizes and have assessed quantitative traits. We performed a case-control GWAS in the UK Biobank using...

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Fairfield CJ, Drake TM, Pius R, et al. Genome-Wide Association Study of NAFLD Using Electronic Health Records. Hepatol Commun. 2021;doi: 10.1002/hep4.1805.
Fairfield, C. J., Drake, T. M., Pius, R., Bretherick, A. D., Campbell, A., Clark, D. W., Fallowfield, J. A., Hayward, C., Henderson, N. C., Joshi, P. K., Mills, N. L., Porteous, D. J., Ramachandran, P., Semple, R. K., Shaw, C. A., Sudlow, C. L. M., Timmers, P. R. H. J., Wilson, J. F., Wigmore, S. J., Harrison, E. M., & Spiliopoulou, A. (2021). Genome-Wide Association Study of NAFLD Using Electronic Health Records. Hepatology communications, . https://doi.org/10.1002/hep4.1805
Fairfield, Cameron J, et al. "Genome-Wide Association Study of NAFLD Using Electronic Health Records." Hepatology communications vol. (2021). doi: https://doi.org/10.1002/hep4.1805
Fairfield CJ, Drake TM, Pius R, Bretherick AD, Campbell A, Clark DW, Fallowfield JA, Hayward C, Henderson NC, Joshi PK, Mills NL, Porteous DJ, Ramachandran P, Semple RK, Shaw CA, Sudlow CLM, Timmers PRHJ, Wilson JF, Wigmore SJ, Harrison EM, Spiliopoulou A. Genome-Wide Association Study of NAFLD Using Electronic Health Records. Hepatol Commun. 2021 Sep 17; doi: 10.1002/hep4.1805. Epub 2021 Sep 17. PMID: 34535985.
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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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The Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study.

JAMA psychiatry

Giannakopoulou O, Lin K, Meng X, Su MH, Kuo PH, Peterson RE, Awasthi S, Moscati A, Coleman JRI, Bass N, Millwood IY, Chen Y, Chen Z, Chen HC, Lu ML, Huang MC, Chen CH, Stahl EA, Loos RJF, Mullins N, Ursano RJ, Kessler RC, Stein MB, Sen S, Scott LJ, Burmeister M, Fang Y, Tyrrell J, Jiang Y, Tian C, McIntosh AM, Ripke S, Dunn EC, Kendler KS, Walters RG, Lewis CM, Kuchenbaecker K.
PMID: 34586374
JAMA Psychiatry. 2021 Nov 01;78(11):1258-1269. doi: 10.1001/jamapsychiatry.2021.2099.

IMPORTANCE: Most previous genome-wide association studies (GWAS) of depression have used data from individuals of European descent. This limits the understanding of the underlying biology of depression and raises questions about the transferability of findings between populations.OBJECTIVE: To investigate...

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Giannakopoulou O, Lin K, Meng X, et al. The Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study. JAMA Psychiatry. 2021;78(11):1258-1269doi: 10.1001/jamapsychiatry.2021.2099.
Giannakopoulou, O., Lin, K., Meng, X., Su, M. H., Kuo, P. H., Peterson, R. E., Awasthi, S., Moscati, A., Coleman, J. R. I., Bass, N., Millwood, I. Y., Chen, Y., Chen, Z., Chen, H. C., Lu, M. L., Huang, M. C., Chen, C. H., Stahl, E. A., Loos, R. J. F., Mullins, N., Ursano, R. J., Kessler, R. C., Stein, M. B., Sen, S., Scott, L. J., Burmeister, M., Fang, Y., Tyrrell, J., Jiang, Y., Tian, C., McIntosh, A. M., Ripke, S., Dunn, E. C., Kendler, K. S., Walters, R. G., Lewis, C. M., Kuchenbaecker, K. (2021). The Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study. JAMA psychiatry, 78(11), 1258-1269. https://doi.org/10.1001/jamapsychiatry.2021.2099
Giannakopoulou, Olga, et al. "The Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study." JAMA psychiatry vol. 78,11 (2021): 1258-1269. doi: https://doi.org/10.1001/jamapsychiatry.2021.2099
Giannakopoulou O, Lin K, Meng X, Su MH, Kuo PH, Peterson RE, Awasthi S, Moscati A, Coleman JRI, Bass N, Millwood IY, Chen Y, Chen Z, Chen HC, Lu ML, Huang MC, Chen CH, Stahl EA, Loos RJF, Mullins N, Ursano RJ, Kessler RC, Stein MB, Sen S, Scott LJ, Burmeister M, Fang Y, Tyrrell J, Jiang Y, Tian C, McIntosh AM, Ripke S, Dunn EC, Kendler KS, Walters RG, Lewis CM, Kuchenbaecker K. The Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study. JAMA Psychiatry. 2021 Nov 01;78(11):1258-1269. doi: 10.1001/jamapsychiatry.2021.2099. PMID: 34586374; PMCID: PMC8482304.
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Associations between alcohol use and accelerated biological ageing.

Addiction biology

Bøstrand SMK, Vaher K, de Nooij L, Harris MA, Cole JH, Cox SR, Marioni RE, McCartney DL, Walker RM, McIntosh AM, Evans KL, Whalley HC, Wootton RE, Clarke TK.
PMID: 34636470
Addict Biol. 2022 Jan;27(1):e13100. doi: 10.1111/adb.13100. Epub 2021 Oct 12.

Harmful alcohol use is a leading cause of premature death and is associated with age-related disease. Biological ageing is highly variable between individuals and may deviate from chronological ageing, suggesting that biomarkers of biological ageing (derived from DNA methylation...

Cite
Bøstrand SMK, Vaher K, de Nooij L, et al. Associations between alcohol use and accelerated biological ageing. Addict Biol. 2021;27(1):e13100doi: 10.1111/adb.13100.
Bøstrand, S. M. K., Vaher, K., de Nooij, L., Harris, M. A., Cole, J. H., Cox, S. R., Marioni, R. E., McCartney, D. L., Walker, R. M., McIntosh, A. M., Evans, K. L., Whalley, H. C., Wootton, R. E., & Clarke, T. K. (2022). Associations between alcohol use and accelerated biological ageing. Addiction biology, 27(1), e13100. https://doi.org/10.1111/adb.13100
Bøstrand, Sunniva M K, et al. "Associations between alcohol use and accelerated biological ageing." Addiction biology vol. 27,1 (2022): e13100. doi: https://doi.org/10.1111/adb.13100
Bøstrand SMK, Vaher K, de Nooij L, Harris MA, Cole JH, Cox SR, Marioni RE, McCartney DL, Walker RM, McIntosh AM, Evans KL, Whalley HC, Wootton RE, Clarke TK. Associations between alcohol use and accelerated biological ageing. Addict Biol. 2022 Jan;27(1):e13100. doi: 10.1111/adb.13100. Epub 2021 Oct 12. PMID: 34636470.
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Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6.

The journals of gerontology. Series A, Biological sciences and medical sciences

Stevenson AJ, Gadd DA, Hillary RF, McCartney DL, Campbell A, Walker RM, Evans KL, Harris SE, Spires-Jones TL, McRae AF, Visscher PM, McIntosh AM, Deary IJ, Marioni RE.
PMID: 33595649
J Gerontol A Biol Sci Med Sci. 2021 Nov 15;76(12):2284-2292. doi: 10.1093/gerona/glab046.

BACKGROUND: Studies evaluating the relationship between chronic inflammation and cognitive functioning have produced heterogeneous results. A potential reason for this is the variability of inflammatory mediators which could lead to misclassifications of individuals' persisting levels of inflammation. DNA methylation...

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Stevenson AJ, Gadd DA, Hillary RF, et al. Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6. J Gerontol A Biol Sci Med Sci. 2021;76(12):2284-2292doi: 10.1093/gerona/glab046.
Stevenson, A. J., Gadd, D. A., Hillary, R. F., McCartney, D. L., Campbell, A., Walker, R. M., Evans, K. L., Harris, S. E., Spires-Jones, T. L., McRae, A. F., Visscher, P. M., McIntosh, A. M., Deary, I. J., & Marioni, R. E. (2021). Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6. The journals of gerontology. Series A, Biological sciences and medical sciences, 76(12), 2284-2292. https://doi.org/10.1093/gerona/glab046
Stevenson, Anna J, et al. "Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6." The journals of gerontology. Series A, Biological sciences and medical sciences vol. 76,12 (2021): 2284-2292. doi: https://doi.org/10.1093/gerona/glab046
Stevenson AJ, Gadd DA, Hillary RF, McCartney DL, Campbell A, Walker RM, Evans KL, Harris SE, Spires-Jones TL, McRae AF, Visscher PM, McIntosh AM, Deary IJ, Marioni RE. Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6. J Gerontol A Biol Sci Med Sci. 2021 Nov 15;76(12):2284-2292. doi: 10.1093/gerona/glab046. PMID: 33595649; PMCID: PMC8599002.
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Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci.

Genome medicine

Breeze CE, Batorsky A, Lee MK, Szeto MD, Xu X, McCartney DL, Jiang R, Patki A, Kramer HJ, Eales JM, Raffield L, Lange L, Lange E, Durda P, Liu Y, Tracy RP, Van Den Berg D, Evans KL, Kraus WE, Shah S, Tiwari HK, Hou L, Whitsel EA, Jiang X, Charchar FJ, Baccarelli AA, Rich SS, Morris AP, Irvin MR, Arnett DK, Hauser ER, Rotter JI, Correa A, Hayward C, Horvath S, Marioni RE, Tomaszewski M, Beck S, Berndt SI, London SJ, Mychaleckyj JC, Franceschini N.
PMID: 33931109
Genome Med. 2021 Apr 30;13(1):74. doi: 10.1186/s13073-021-00877-z.

BACKGROUND: DNA methylation (DNAm) is associated with gene regulation and estimated glomerular filtration rate (eGFR), a measure of kidney function. Decreased eGFR is more common among US Hispanics and African Americans. The causes for this are poorly understood. We...

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Breeze CE, Batorsky A, Lee MK, et al. Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci. Genome Med. 2021;13(1):74doi: 10.1186/s13073-021-00877-z.
Breeze, C. E., Batorsky, A., Lee, M. K., Szeto, M. D., Xu, X., McCartney, D. L., Jiang, R., Patki, A., Kramer, H. J., Eales, J. M., Raffield, L., Lange, L., Lange, E., Durda, P., Liu, Y., Tracy, R. P., Van Den Berg, D., Evans, K. L., Kraus, W. E., Shah, S., Tiwari, H. K., Hou, L., Whitsel, E. A., Jiang, X., Charchar, F. J., Baccarelli, A. A., Rich, S. S., Morris, A. P., Irvin, M. R., Arnett, D. K., Hauser, E. R., Rotter, J. I., Correa, A., Hayward, C., Horvath, S., Marioni, R. E., Tomaszewski, M., Beck, S., Berndt, S. I., London, S. J., Mychaleckyj, J. C., & Franceschini, N. (2021). Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci. Genome medicine, 13(1), 74. https://doi.org/10.1186/s13073-021-00877-z
Breeze, Charles E, et al. "Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci." Genome medicine vol. 13,1 (2021): 74. doi: https://doi.org/10.1186/s13073-021-00877-z
Breeze CE, Batorsky A, Lee MK, Szeto MD, Xu X, McCartney DL, Jiang R, Patki A, Kramer HJ, Eales JM, Raffield L, Lange L, Lange E, Durda P, Liu Y, Tracy RP, Van Den Berg D, Evans KL, Kraus WE, Shah S, Tiwari HK, Hou L, Whitsel EA, Jiang X, Charchar FJ, Baccarelli AA, Rich SS, Morris AP, Irvin MR, Arnett DK, Hauser ER, Rotter JI, Correa A, Hayward C, Horvath S, Marioni RE, Tomaszewski M, Beck S, Berndt SI, London SJ, Mychaleckyj JC, Franceschini N. Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci. Genome Med. 2021 Apr 30;13(1):74. doi: 10.1186/s13073-021-00877-z. PMID: 33931109; PMCID: PMC8088054.
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Genome-wide analysis identifies gallstone-susceptibility loci including genes regulating gastrointestinal motility.

Hepatology (Baltimore, Md.)

Fairfield CJ, Drake TM, Pius R, Bretherick AD, Campbell A, Clark DW, Fallowfield JA, Hayward C, Henderson NC, Iakovliev A, Joshi PK, Mills NL, Porteous DJ, Ramachandran P, Semple RK, Shaw CA, Sudlow CLW, Timmers PRHJ, Wilson JF, Wigmore SJ, Spiliopoulou A, Harrison EM.
PMID: 34651315
Hepatology. 2021 Oct 15; doi: 10.1002/hep.32199. Epub 2021 Oct 15.

BACKGROUND AND AIMS: Genome-wide association studies (GWAS) have identified several risk loci for gallstone disease. As with most polygenic traits, it is likely that many genetic determinants are undiscovered. The aim of this study was to identify genetic variants...

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Fairfield CJ, Drake TM, Pius R, et al. Genome-wide analysis identifies gallstone-susceptibility loci including genes regulating gastrointestinal motility. Hepatology. 2021;doi: 10.1002/hep.32199.
Fairfield, C. J., Drake, T. M., Pius, R., Bretherick, A. D., Campbell, A., Clark, D. W., Fallowfield, J. A., Hayward, C., Henderson, N. C., Iakovliev, A., Joshi, P. K., Mills, N. L., Porteous, D. J., Ramachandran, P., Semple, R. K., Shaw, C. A., Sudlow, C. L. W., Timmers, P. R. H. J., Wilson, J. F., Wigmore, S. J., Spiliopoulou, A., & Harrison, E. M. (2021). Genome-wide analysis identifies gallstone-susceptibility loci including genes regulating gastrointestinal motility. Hepatology (Baltimore, Md.), . https://doi.org/10.1002/hep.32199
Fairfield, Cameron J, et al. "Genome-wide analysis identifies gallstone-susceptibility loci including genes regulating gastrointestinal motility." Hepatology (Baltimore, Md.) vol. (2021). doi: https://doi.org/10.1002/hep.32199
Fairfield CJ, Drake TM, Pius R, Bretherick AD, Campbell A, Clark DW, Fallowfield JA, Hayward C, Henderson NC, Iakovliev A, Joshi PK, Mills NL, Porteous DJ, Ramachandran P, Semple RK, Shaw CA, Sudlow CLW, Timmers PRHJ, Wilson JF, Wigmore SJ, Spiliopoulou A, Harrison EM. Genome-wide analysis identifies gallstone-susceptibility loci including genes regulating gastrointestinal motility. Hepatology. 2021 Oct 15; doi: 10.1002/hep.32199. Epub 2021 Oct 15. PMID: 34651315.
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Blood-based epigenome-wide analyses of cognitive abilities.

Genome biology

McCartney DL, Hillary RF, Conole ELS, Banos DT, Gadd DA, Walker RM, Nangle C, Flaig R, Campbell A, Murray AD, Maniega SM, Valdés-Hernández MDC, Harris MA, Bastin ME, Wardlaw JM, Harris SE, Porteous DJ, Tucker-Drob EM, McIntosh AM, Evans KL, Deary IJ, Cox SR, Robinson MR, Marioni RE.
PMID: 35039062
Genome Biol. 2022 Jan 17;23(1):26. doi: 10.1186/s13059-021-02596-5.

BACKGROUND: Blood-based markers of cognitive functioning might provide an accessible way to track neurodegeneration years prior to clinical manifestation of cognitive impairment and dementia.RESULTS: Using blood-based epigenome-wide analyses of general cognitive function, we show that individual differences in DNA...

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McCartney DL, Hillary RF, Conole ELS, et al. Blood-based epigenome-wide analyses of cognitive abilities. Genome Biol. 2022;23(1):26doi: 10.1186/s13059-021-02596-5.
McCartney, D. L., Hillary, R. F., Conole, E. L. S., Banos, D. T., Gadd, D. A., Walker, R. M., Nangle, C., Flaig, R., Campbell, A., Murray, A. D., Maniega, S. M., Valdés-Hernández, M. D. C., Harris, M. A., Bastin, M. E., Wardlaw, J. M., Harris, S. E., Porteous, D. J., Tucker-Drob, E. M., McIntosh, A. M., Evans, K. L., Deary, I. J., Cox, S. R., Robinson, M. R., & Marioni, R. E. (2022). Blood-based epigenome-wide analyses of cognitive abilities. Genome biology, 23(1), 26. https://doi.org/10.1186/s13059-021-02596-5
McCartney, Daniel L, et al. "Blood-based epigenome-wide analyses of cognitive abilities." Genome biology vol. 23,1 (2022): 26. doi: https://doi.org/10.1186/s13059-021-02596-5
McCartney DL, Hillary RF, Conole ELS, Banos DT, Gadd DA, Walker RM, Nangle C, Flaig R, Campbell A, Murray AD, Maniega SM, Valdés-Hernández MDC, Harris MA, Bastin ME, Wardlaw JM, Harris SE, Porteous DJ, Tucker-Drob EM, McIntosh AM, Evans KL, Deary IJ, Cox SR, Robinson MR, Marioni RE. Blood-based epigenome-wide analyses of cognitive abilities. Genome Biol. 2022 Jan 17;23(1):26. doi: 10.1186/s13059-021-02596-5. PMID: 35039062.
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