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Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.

BioData mining

Holzinger ER, Verma SS, Moore CB, Hall M, De R, Gilbert-Diamond D, Lanktree MB, Pankratz N, Amuzu A, Burt A, Dale C, Dudek S, Furlong CE, Gaunt TR, Kim DS, Riess H, Sivapalaratnam S, Tragante V, van Iperen EPA, Brautbar A, Carrell DS, Crosslin DR, Jarvik GP, Kuivaniemi H, Kullo IJ, Larson EB, Rasmussen-Torvik LJ, Tromp G, Baumert J, Cruickshanks KJ, Farrall M, Hingorani AD, Hovingh GK, Kleber ME, Klein BE, Klein R, Koenig W, Lange LA, Mӓrz W, North KE, Charlotte Onland-Moret N, Reiner AP, Talmud PJ, van der Schouw YT, Wilson JG, Kivimaki M, Kumari M, Moore JH, Drenos F, Asselbergs FW, Keating BJ, Ritchie MD.
PMID: 28770004
BioData Min. 2017 Jul 24;10:25. doi: 10.1186/s13040-017-0145-5. eCollection 2017.

BACKGROUND: The genetic etiology of human lipid quantitative traits is not fully elucidated, and interactions between variants may play a role. We performed a gene-centric interaction study for four different lipid traits: low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol...

Cite
Holzinger ER, Verma SS, Moore CB, et al. Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 2017;10:25doi: 10.1186/s13040-017-0145-5.
Holzinger, E. R., Verma, S. S., Moore, C. B., Hall, M., De, R., Gilbert-Diamond, D., Lanktree, M. B., Pankratz, N., Amuzu, A., Burt, A., Dale, C., Dudek, S., Furlong, C. E., Gaunt, T. R., Kim, D. S., Riess, H., Sivapalaratnam, S., Tragante, V., van Iperen, E. P. A., Brautbar, A., Carrell, D. S., Crosslin, D. R., Jarvik, G. P., Kuivaniemi, H., Kullo, I. J., Larson, E. B., Rasmussen-Torvik, L. J., Tromp, G., Baumert, J., Cruickshanks, K. J., Farrall, M., Hingorani, A. D., Hovingh, G. K., Kleber, M. E., Klein, B. E., Klein, R., Koenig, W., Lange, L. A., Mӓrz, W., North, K. E., Charlotte Onland-Moret, N., Reiner, A. P., Talmud, P. J., van der Schouw, Y. T., Wilson, J. G., Kivimaki, M., Kumari, M., Moore, J. H., Drenos, F., Asselbergs, F. W., Keating, B. J., & Ritchie, M. D. (2017). Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData mining, 1025. https://doi.org/10.1186/s13040-017-0145-5
Holzinger, Emily R, et al. "Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals." BioData mining vol. 10 (2017): 25. doi: https://doi.org/10.1186/s13040-017-0145-5
Holzinger ER, Verma SS, Moore CB, Hall M, De R, Gilbert-Diamond D, Lanktree MB, Pankratz N, Amuzu A, Burt A, Dale C, Dudek S, Furlong CE, Gaunt TR, Kim DS, Riess H, Sivapalaratnam S, Tragante V, van Iperen EPA, Brautbar A, Carrell DS, Crosslin DR, Jarvik GP, Kuivaniemi H, Kullo IJ, Larson EB, Rasmussen-Torvik LJ, Tromp G, Baumert J, Cruickshanks KJ, Farrall M, Hingorani AD, Hovingh GK, Kleber ME, Klein BE, Klein R, Koenig W, Lange LA, Mӓrz W, North KE, Charlotte Onland-Moret N, Reiner AP, Talmud PJ, van der Schouw YT, Wilson JG, Kivimaki M, Kumari M, Moore JH, Drenos F, Asselbergs FW, Keating BJ, Ritchie MD. Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 2017 Jul 24;10:25. doi: 10.1186/s13040-017-0145-5. eCollection 2017. PMID: 28770004; PMCID: PMC5525436.
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Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.

BioData mining

Holzinger ER, Verma SS, Moore CB, Hall M, De R, Gilbert-Diamond D, Lanktree MB, Pankratz N, Amuzu A, Burt A, Dale C, Dudek S, Furlong CE, Gaunt TR, Kim DS, Riess H, Sivapalaratnam S, Tragante V, van Iperen EPA, Brautbar A, Carrell DS, Crosslin DR, Jarvik GP, Kuivaniemi H, Kullo IJ, Larson EB, Rasmussen-Torvik LJ, Tromp G, Baumert J, Cruickshanks KJ, Farrall M, Hingorani AD, Hovingh GK, Kleber ME, Klein BE, Klein R, Koenig W, Lange LA, Mӓrz W, North KE, Charlotte Onland-Moret N, Reiner AP, Talmud PJ, van der Schouw YT, Wilson JG, Kivimaki M, Kumari M, Moore JH, Drenos F, Asselbergs FW, Keating BJ, Ritchie MD.
PMID: 28770004
BioData Min. 2017 Jul 24;10:25. doi: 10.1186/s13040-017-0145-5. eCollection 2017.

BACKGROUND: The genetic etiology of human lipid quantitative traits is not fully elucidated, and interactions between variants may play a role. We performed a gene-centric interaction study for four different lipid traits: low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol...

Cite
Holzinger ER, Verma SS, Moore CB, et al. Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 2017;10:25doi: 10.1186/s13040-017-0145-5.
Holzinger, E. R., Verma, S. S., Moore, C. B., Hall, M., De, R., Gilbert-Diamond, D., Lanktree, M. B., Pankratz, N., Amuzu, A., Burt, A., Dale, C., Dudek, S., Furlong, C. E., Gaunt, T. R., Kim, D. S., Riess, H., Sivapalaratnam, S., Tragante, V., van Iperen, E. P. A., Brautbar, A., Carrell, D. S., Crosslin, D. R., Jarvik, G. P., Kuivaniemi, H., Kullo, I. J., Larson, E. B., Rasmussen-Torvik, L. J., Tromp, G., Baumert, J., Cruickshanks, K. J., Farrall, M., Hingorani, A. D., Hovingh, G. K., Kleber, M. E., Klein, B. E., Klein, R., Koenig, W., Lange, L. A., Mӓrz, W., North, K. E., Charlotte Onland-Moret, N., Reiner, A. P., Talmud, P. J., van der Schouw, Y. T., Wilson, J. G., Kivimaki, M., Kumari, M., Moore, J. H., Drenos, F., Asselbergs, F. W., Keating, B. J., & Ritchie, M. D. (2017). Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData mining, 1025. https://doi.org/10.1186/s13040-017-0145-5
Holzinger, Emily R, et al. "Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals." BioData mining vol. 10 (2017): 25. doi: https://doi.org/10.1186/s13040-017-0145-5
Holzinger ER, Verma SS, Moore CB, Hall M, De R, Gilbert-Diamond D, Lanktree MB, Pankratz N, Amuzu A, Burt A, Dale C, Dudek S, Furlong CE, Gaunt TR, Kim DS, Riess H, Sivapalaratnam S, Tragante V, van Iperen EPA, Brautbar A, Carrell DS, Crosslin DR, Jarvik GP, Kuivaniemi H, Kullo IJ, Larson EB, Rasmussen-Torvik LJ, Tromp G, Baumert J, Cruickshanks KJ, Farrall M, Hingorani AD, Hovingh GK, Kleber ME, Klein BE, Klein R, Koenig W, Lange LA, Mӓrz W, North KE, Charlotte Onland-Moret N, Reiner AP, Talmud PJ, van der Schouw YT, Wilson JG, Kivimaki M, Kumari M, Moore JH, Drenos F, Asselbergs FW, Keating BJ, Ritchie MD. Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 2017 Jul 24;10:25. doi: 10.1186/s13040-017-0145-5. eCollection 2017. PMID: 28770004; PMCID: PMC5525436.
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Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.

BioData mining

Holzinger ER, Verma SS, Moore CB, Hall M, De R, Gilbert-Diamond D, Lanktree MB, Pankratz N, Amuzu A, Burt A, Dale C, Dudek S, Furlong CE, Gaunt TR, Kim DS, Riess H, Sivapalaratnam S, Tragante V, van Iperen EPA, Brautbar A, Carrell DS, Crosslin DR, Jarvik GP, Kuivaniemi H, Kullo IJ, Larson EB, Rasmussen-Torvik LJ, Tromp G, Baumert J, Cruickshanks KJ, Farrall M, Hingorani AD, Hovingh GK, Kleber ME, Klein BE, Klein R, Koenig W, Lange LA, Mӓrz W, North KE, Charlotte Onland-Moret N, Reiner AP, Talmud PJ, van der Schouw YT, Wilson JG, Kivimaki M, Kumari M, Moore JH, Drenos F, Asselbergs FW, Keating BJ, Ritchie MD.
PMID: 28770004
BioData Min. 2017 Jul 24;10:25. doi: 10.1186/s13040-017-0145-5. eCollection 2017.

BACKGROUND: The genetic etiology of human lipid quantitative traits is not fully elucidated, and interactions between variants may play a role. We performed a gene-centric interaction study for four different lipid traits: low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol...

Cite
Holzinger ER, Verma SS, Moore CB, et al. Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 2017;10:25doi: 10.1186/s13040-017-0145-5.
Holzinger, E. R., Verma, S. S., Moore, C. B., Hall, M., De, R., Gilbert-Diamond, D., Lanktree, M. B., Pankratz, N., Amuzu, A., Burt, A., Dale, C., Dudek, S., Furlong, C. E., Gaunt, T. R., Kim, D. S., Riess, H., Sivapalaratnam, S., Tragante, V., van Iperen, E. P. A., Brautbar, A., Carrell, D. S., Crosslin, D. R., Jarvik, G. P., Kuivaniemi, H., Kullo, I. J., Larson, E. B., Rasmussen-Torvik, L. J., Tromp, G., Baumert, J., Cruickshanks, K. J., Farrall, M., Hingorani, A. D., Hovingh, G. K., Kleber, M. E., Klein, B. E., Klein, R., Koenig, W., Lange, L. A., Mӓrz, W., North, K. E., Charlotte Onland-Moret, N., Reiner, A. P., Talmud, P. J., van der Schouw, Y. T., Wilson, J. G., Kivimaki, M., Kumari, M., Moore, J. H., Drenos, F., Asselbergs, F. W., Keating, B. J., & Ritchie, M. D. (2017). Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData mining, 1025. https://doi.org/10.1186/s13040-017-0145-5
Holzinger, Emily R, et al. "Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals." BioData mining vol. 10 (2017): 25. doi: https://doi.org/10.1186/s13040-017-0145-5
Holzinger ER, Verma SS, Moore CB, Hall M, De R, Gilbert-Diamond D, Lanktree MB, Pankratz N, Amuzu A, Burt A, Dale C, Dudek S, Furlong CE, Gaunt TR, Kim DS, Riess H, Sivapalaratnam S, Tragante V, van Iperen EPA, Brautbar A, Carrell DS, Crosslin DR, Jarvik GP, Kuivaniemi H, Kullo IJ, Larson EB, Rasmussen-Torvik LJ, Tromp G, Baumert J, Cruickshanks KJ, Farrall M, Hingorani AD, Hovingh GK, Kleber ME, Klein BE, Klein R, Koenig W, Lange LA, Mӓrz W, North KE, Charlotte Onland-Moret N, Reiner AP, Talmud PJ, van der Schouw YT, Wilson JG, Kivimaki M, Kumari M, Moore JH, Drenos F, Asselbergs FW, Keating BJ, Ritchie MD. Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 2017 Jul 24;10:25. doi: 10.1186/s13040-017-0145-5. eCollection 2017. PMID: 28770004; PMCID: PMC5525436.
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Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases.

Frontiers in genetics

He L, Kernogitski Y, Kulminskaya I, Loika Y, Arbeev KG, Loiko E, Bagley O, Duan M, Yashkin A, Ukraintseva SV, Kovtun M, Yashin AI, Kulminski AM.
PMID: 27790247
Front Genet. 2016 Oct 13;7:179. doi: 10.3389/fgene.2016.00179. eCollection 2016.

Age-related diseases may result from shared biological mechanisms in intrinsic processes of aging. Genetic effects on age-related diseases are often modulated by environmental factors due to their little contribution to fitness or are mediated through certain endophenotypes. Identification of...

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He L, Kernogitski Y, Kulminskaya I, et al. Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases. Front Genet. 2016;7:179doi: 10.3389/fgene.2016.00179.
He, L., Kernogitski, Y., Kulminskaya, I., Loika, Y., Arbeev, K. G., Loiko, E., Bagley, O., Duan, M., Yashkin, A., Ukraintseva, S. V., Kovtun, M., Yashin, A. I., & Kulminski, A. M. (2016). Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases. Frontiers in genetics, 7179. https://doi.org/10.3389/fgene.2016.00179
He, Liang, et al. "Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases." Frontiers in genetics vol. 7 (2016): 179. doi: https://doi.org/10.3389/fgene.2016.00179
He L, Kernogitski Y, Kulminskaya I, Loika Y, Arbeev KG, Loiko E, Bagley O, Duan M, Yashkin A, Ukraintseva SV, Kovtun M, Yashin AI, Kulminski AM. Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases. Front Genet. 2016 Oct 13;7:179. doi: 10.3389/fgene.2016.00179. eCollection 2016. PMID: 27790247; PMCID: PMC5061751.
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Joint modeling of self-rated health and changes in physical functioning.

Journal of the American Statistical Association

Hubbard RA, Inoue LY, Diehr P.
PMID: 20151036
J Am Stat Assoc. 2009 Sep 01;104(487):912. doi: 10.1198/jasa.2009.ap08423.

Self-rated health is an important indicator of future morbidity and mortality. Past research has indicated that self-rated health is related to both levels of and changes in physical functioning. However, no previous study has jointly modeled longitudinal functional status...

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Hubbard RA, Inoue LY, Diehr P. Joint modeling of self-rated health and changes in physical functioning. J Am Stat Assoc. 2009;104(487):912doi: 10.1198/jasa.2009.ap08423.
Hubbard, R. A., Inoue, L. Y., & Diehr, P. (2009). Joint modeling of self-rated health and changes in physical functioning. Journal of the American Statistical Association, 104(487), 912. https://doi.org/10.1198/jasa.2009.ap08423
Hubbard, Rebecca A, et al. "Joint modeling of self-rated health and changes in physical functioning." Journal of the American Statistical Association vol. 104,487 (2009): 912. doi: https://doi.org/10.1198/jasa.2009.ap08423
Hubbard RA, Inoue LY, Diehr P. Joint modeling of self-rated health and changes in physical functioning. J Am Stat Assoc. 2009 Sep 01;104(487):912. doi: 10.1198/jasa.2009.ap08423. PMID: 20151036; PMCID: PMC2819480.
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Longitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research Aims.

Statistical science : a review journal of the Institute of Mathematical Statistics

Kurland BF, Johnson LL, Egleston BL, Diehr PH.
PMID: 20119502
Stat Sci. 2009;24(2):211. doi: 10.1214/09-STS293.

Diverse analysis approaches have been proposed to distinguish data missing due to death from nonresponse, and to summarize trajectories of longitudinal data truncated by death. We demonstrate how these analysis approaches arise from factorizations of the distribution of longitudinal...

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Kurland BF, Johnson LL, Egleston BL, et al. Longitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research Aims. Stat Sci. 2009;24(2):211doi: 10.1214/09-STS293.
Kurland, B. F., Johnson, L. L., Egleston, B. L., & Diehr, P. H. (2009). Longitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research Aims. Statistical science : a review journal of the Institute of Mathematical Statistics, 24(2), 211. https://doi.org/10.1214/09-STS293
Kurland, Brenda F, et al. "Longitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research Aims." Statistical science : a review journal of the Institute of Mathematical Statistics vol. 24,2 (2009): 211. doi: https://doi.org/10.1214/09-STS293
Kurland BF, Johnson LL, Egleston BL, Diehr PH. Longitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research Aims. Stat Sci. 2009;24(2):211. doi: 10.1214/09-STS293. PMID: 20119502; PMCID: PMC2812934.
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Common folate gene variant, MTHFR C677T, is associated with brain structure in two independent cohorts of people with mild cognitive impairment.

NeuroImage. Clinical

Rajagopalan P, Jahanshad N, Stein JL, Hua X, Madsen SK, Kohannim O, Hibar DP, Toga AW, Jack CR, Saykin AJ, Green RC, Weiner MW, Bis JC, Kuller LH, Riverol M, Becker JT, Lopez OL, Thompson PM.
PMID: 24179750
Neuroimage Clin. 2012 Oct 04;1(1):179-87. doi: 10.1016/j.nicl.2012.09.012. eCollection 2012.

A commonly carried C677T polymorphism in a folate-related gene, MTHFR, is associated with higher plasma homocysteine, a well-known mediator of neuronal damage and brain atrophy. As homocysteine promotes brain atrophy, we set out to discover whether people carrying the...

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Rajagopalan P, Jahanshad N, Stein JL, et al. Common folate gene variant, MTHFR C677T, is associated with brain structure in two independent cohorts of people with mild cognitive impairment. Neuroimage Clin. 2012;1(1):179-87doi: 10.1016/j.nicl.2012.09.012.
Rajagopalan, P., Jahanshad, N., Stein, J. L., Hua, X., Madsen, S. K., Kohannim, O., Hibar, D. P., Toga, A. W., Jack, C. R., Saykin, A. J., Green, R. C., Weiner, M. W., Bis, J. C., Kuller, L. H., Riverol, M., Becker, J. T., Lopez, O. L., Thompson, P. M. (2012). Common folate gene variant, MTHFR C677T, is associated with brain structure in two independent cohorts of people with mild cognitive impairment. NeuroImage. Clinical, 1(1), 179-87. https://doi.org/10.1016/j.nicl.2012.09.012
Rajagopalan, Priya, et al. "Common folate gene variant, MTHFR C677T, is associated with brain structure in two independent cohorts of people with mild cognitive impairment." NeuroImage. Clinical vol. 1,1 (2012): 179-87. doi: https://doi.org/10.1016/j.nicl.2012.09.012
Rajagopalan P, Jahanshad N, Stein JL, Hua X, Madsen SK, Kohannim O, Hibar DP, Toga AW, Jack CR, Saykin AJ, Green RC, Weiner MW, Bis JC, Kuller LH, Riverol M, Becker JT, Lopez OL, Thompson PM. Common folate gene variant, MTHFR C677T, is associated with brain structure in two independent cohorts of people with mild cognitive impairment. Neuroimage Clin. 2012 Oct 04;1(1):179-87. doi: 10.1016/j.nicl.2012.09.012. eCollection 2012. PMID: 24179750; PMCID: PMC3757723.
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Comparing years of healthy life, measured in 16 ways, for normal weight and overweight older adults.

Journal of obesity

Diehr P, Thielke S, O'Meara E, Fitzpatrick AL, Newman A.
PMID: 22778920
J Obes. 2012;2012:894894. doi: 10.1155/2012/894894. Epub 2012 Jun 20.

Introduction. The traditional definitions of overweight and obesity are not age specific, even though the relationship of weight to mortality is different for older adults. Effects of adiposity on aspects of health beside mortality have not been well investigated....

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Diehr P, Thielke S, O'Meara E, et al. Comparing years of healthy life, measured in 16 ways, for normal weight and overweight older adults. J Obes. 2012;2012:894894doi: 10.1155/2012/894894.
Diehr, P., Thielke, S., O'Meara, E., Fitzpatrick, A. L., & Newman, A. (2012). Comparing years of healthy life, measured in 16 ways, for normal weight and overweight older adults. Journal of obesity, 2012894894. https://doi.org/10.1155/2012/894894
Diehr, Paula, et al. "Comparing years of healthy life, measured in 16 ways, for normal weight and overweight older adults." Journal of obesity vol. 2012 (2012): 894894. doi: https://doi.org/10.1155/2012/894894
Diehr P, Thielke S, O'Meara E, Fitzpatrick AL, Newman A. Comparing years of healthy life, measured in 16 ways, for normal weight and overweight older adults. J Obes. 2012;2012:894894. doi: 10.1155/2012/894894. Epub 2012 Jun 20. PMID: 22778920; PMCID: PMC3388309.
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Association of SLC2A9 genotype with phenotypic variability of serum urate in pre-menopausal women.

Frontiers in genetics

Topless RK, Flynn TJ, Cadzow M, Stamp LK, Dalbeth N, Black MA, Merriman TR.
PMID: 26528330
Front Genet. 2015 Oct 14;6:313. doi: 10.3389/fgene.2015.00313. eCollection 2015.

The SLC2A9 gene, that encodes a renal uric acid reuptake transporter, has genetic variants that explain ∼3% of variance in urate levels. There are previous reports of non-additive interaction between SLC2A9 genotype and environmental factors which influence urate control....

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Topless RK, Flynn TJ, Cadzow M, et al. Association of SLC2A9 genotype with phenotypic variability of serum urate in pre-menopausal women. Front Genet. 2015;6:313doi: 10.3389/fgene.2015.00313.
Topless, R. K., Flynn, T. J., Cadzow, M., Stamp, L. K., Dalbeth, N., Black, M. A., & Merriman, T. R. (2015). Association of SLC2A9 genotype with phenotypic variability of serum urate in pre-menopausal women. Frontiers in genetics, 6313. https://doi.org/10.3389/fgene.2015.00313
Topless, Ruth K, et al. "Association of SLC2A9 genotype with phenotypic variability of serum urate in pre-menopausal women." Frontiers in genetics vol. 6 (2015): 313. doi: https://doi.org/10.3389/fgene.2015.00313
Topless RK, Flynn TJ, Cadzow M, Stamp LK, Dalbeth N, Black MA, Merriman TR. Association of SLC2A9 genotype with phenotypic variability of serum urate in pre-menopausal women. Front Genet. 2015 Oct 14;6:313. doi: 10.3389/fgene.2015.00313. eCollection 2015. PMID: 26528330; PMCID: PMC4604317.
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Gene Set Enrichment Analsyes Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy.

American journal of ophthalmology

Sobrin L, Susarla G, Stanwyck L, Rouhana JM, Li A, Pollack S, Igo RP, Jensen RA, Li X, Ng MCY, Smith AV, Kuo JZ, Taylor KD, Freedman BI, Bowden DW, Penman A, Chen CJ, Craig JE, Adler SG, Chew EY, Cotch MF, Yaspan B, Mitchell P, Wang JJ, Klein BEK, Wong TY, Rotter JI, Burdon KP, Iyengar SK, Segrè AV.
PMID: 34166655
Am J Ophthalmol. 2022 Jan;233:111-123. doi: 10.1016/j.ajo.2021.06.014. Epub 2021 Jun 21.

To identify functionally related genes associated with diabetic retinopathy (DR) risk using gene set enrichment analyses applied to genome-wide association study meta-analyses.METHODS: We analyzed DR GWAS meta-analyses performed on 3246 Europeans and 2611 African Americans with type 2 diabetes....

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Sobrin L, Susarla G, Stanwyck L, et al. Gene Set Enrichment Analsyes Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy. Am J Ophthalmol. 2021;233:111-123doi: 10.1016/j.ajo.2021.06.014.
Sobrin, L., Susarla, G., Stanwyck, L., Rouhana, J. M., Li, A., Pollack, S., Igo, R. P., Jensen, R. A., Li, X., Ng, M. C. Y., Smith, A. V., Kuo, J. Z., Taylor, K. D., Freedman, B. I., Bowden, D. W., Penman, A., Chen, C. J., Craig, J. E., Adler, S. G., Chew, E. Y., Cotch, M. F., Yaspan, B., Mitchell, P., Wang, J. J., Klein, B. E. K., Wong, T. Y., Rotter, J. I., Burdon, K. P., Iyengar, S. K., & Segrè, A. V. (2022). Gene Set Enrichment Analsyes Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy. American journal of ophthalmology, 233111-123. https://doi.org/10.1016/j.ajo.2021.06.014
Sobrin, Lucia, et al. "Gene Set Enrichment Analsyes Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy." American journal of ophthalmology vol. 233 (2022): 111-123. doi: https://doi.org/10.1016/j.ajo.2021.06.014
Sobrin L, Susarla G, Stanwyck L, Rouhana JM, Li A, Pollack S, Igo RP, Jensen RA, Li X, Ng MCY, Smith AV, Kuo JZ, Taylor KD, Freedman BI, Bowden DW, Penman A, Chen CJ, Craig JE, Adler SG, Chew EY, Cotch MF, Yaspan B, Mitchell P, Wang JJ, Klein BEK, Wong TY, Rotter JI, Burdon KP, Iyengar SK, Segrè AV. Gene Set Enrichment Analsyes Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy. Am J Ophthalmol. 2022 Jan;233:111-123. doi: 10.1016/j.ajo.2021.06.014. Epub 2021 Jun 21. PMID: 34166655; PMCID: PMC8678352.
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Effect of dementia on the use of drugs for secondary prevention of ischemic heart disease.

Journal of aging research

Fowler NR, Barnato AE, Degenholtz HB, Curcio AM, Becker JT, Kuller LH, Lopez OL.
PMID: 24719764
J Aging Res. 2014;2014:897671. doi: 10.1155/2014/897671. Epub 2014 Feb 25.

Background. Dementia and cardiovascular disease (CVD) are frequently comorbid. The presence of dementia may have an effect on how CVD is treated. Objective. To examine the effect of dementia on the use of four medications recommended for secondary prevention...

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Fowler NR, Barnato AE, Degenholtz HB, et al. Effect of dementia on the use of drugs for secondary prevention of ischemic heart disease. J Aging Res. 2014;2014:897671doi: 10.1155/2014/897671.
Fowler, N. R., Barnato, A. E., Degenholtz, H. B., Curcio, A. M., Becker, J. T., Kuller, L. H., & Lopez, O. L. (2014). Effect of dementia on the use of drugs for secondary prevention of ischemic heart disease. Journal of aging research, 2014897671. https://doi.org/10.1155/2014/897671
Fowler, Nicole R, et al. "Effect of dementia on the use of drugs for secondary prevention of ischemic heart disease." Journal of aging research vol. 2014 (2014): 897671. doi: https://doi.org/10.1155/2014/897671
Fowler NR, Barnato AE, Degenholtz HB, Curcio AM, Becker JT, Kuller LH, Lopez OL. Effect of dementia on the use of drugs for secondary prevention of ischemic heart disease. J Aging Res. 2014;2014:897671. doi: 10.1155/2014/897671. Epub 2014 Feb 25. PMID: 24719764; PMCID: PMC3955600.
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Genome-wide association of body fat distribution in African ancestry populations suggests new loci.

PLoS genetics

Liu CT, Monda KL, Taylor KC, Lange L, Demerath EW, Palmas W, Wojczynski MK, Ellis JC, Vitolins MZ, Liu S, Papanicolaou GJ, Irvin MR, Xue L, Griffin PJ, Nalls MA, Adeyemo A, Liu J, Li G, Ruiz-Narvaez EA, Chen WM, Chen F, Henderson BE, Millikan RC, Ambrosone CB, Strom SS, Guo X, Andrews JS, Sun YV, Mosley TH, Yanek LR, Shriner D, Haritunians T, Rotter JI, Speliotes EK, Smith M, Rosenberg L, Mychaleckyj J, Nayak U, Spruill I, Garvey WT, Pettaway C, Nyante S, Bandera EV, Britton AF, Zonderman AB, Rasmussen-Torvik LJ, Chen YD, Ding J, Lohman K, Kritchevsky SB, Zhao W, Peyser PA, Kardia SL, Kabagambe E, Broeckel U, Chen G, Zhou J, Wassertheil-Smoller S, Neuhouser ML, Rampersaud E, Psaty B, Kooperberg C, Manson JE, Kuller LH, Ochs-Balcom HM, Johnson KC, Sucheston L, Ordovas JM, Palmer JR, Haiman CA, McKnight B, Howard BV, Becker DM, Bielak LF, Liu Y, Allison MA, Grant SF, Burke GL, Patel SR, Schreiner PJ, Borecki IB, Evans MK, Taylor H, Sale MM, Howard V, Carlson CS, Rotimi CN, Cushman M, Harris TB, Reiner AP, Cupples LA, North KE, Fox CS.
PMID: 23966867
PLoS Genet. 2013;9(8):e1003681. doi: 10.1371/journal.pgen.1003681. Epub 2013 Aug 15.

Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly...

Cite
Liu CT, Monda KL, Taylor KC, et al. Genome-wide association of body fat distribution in African ancestry populations suggests new loci. PLoS Genet. 2013;9(8):e1003681doi: 10.1371/journal.pgen.1003681.
Liu, C. T., Monda, K. L., Taylor, K. C., Lange, L., Demerath, E. W., Palmas, W., Wojczynski, M. K., Ellis, J. C., Vitolins, M. Z., Liu, S., Papanicolaou, G. J., Irvin, M. R., Xue, L., Griffin, P. J., Nalls, M. A., Adeyemo, A., Liu, J., Li, G., Ruiz-Narvaez, E. A., Chen, W. M., Chen, F., Henderson, B. E., Millikan, R. C., Ambrosone, C. B., Strom, S. S., Guo, X., Andrews, J. S., Sun, Y. V., Mosley, T. H., Yanek, L. R., Shriner, D., Haritunians, T., Rotter, J. I., Speliotes, E. K., Smith, M., Rosenberg, L., Mychaleckyj, J., Nayak, U., Spruill, I., Garvey, W. T., Pettaway, C., Nyante, S., Bandera, E. V., Britton, A. F., Zonderman, A. B., Rasmussen-Torvik, L. J., Chen, Y. D., Ding, J., Lohman, K., Kritchevsky, S. B., Zhao, W., Peyser, P. A., Kardia, S. L., Kabagambe, E., Broeckel, U., Chen, G., Zhou, J., Wassertheil-Smoller, S., Neuhouser, M. L., Rampersaud, E., Psaty, B., Kooperberg, C., Manson, J. E., Kuller, L. H., Ochs-Balcom, H. M., Johnson, K. C., Sucheston, L., Ordovas, J. M., Palmer, J. R., Haiman, C. A., McKnight, B., Howard, B. V., Becker, D. M., Bielak, L. F., Liu, Y., Allison, M. A., Grant, S. F., Burke, G. L., Patel, S. R., Schreiner, P. J., Borecki, I. B., Evans, M. K., Taylor, H., Sale, M. M., Howard, V., Carlson, C. S., Rotimi, C. N., Cushman, M., Harris, T. B., Reiner, A. P., Cupples, L. A., North, K. E., & Fox, C. S. (2013). Genome-wide association of body fat distribution in African ancestry populations suggests new loci. PLoS genetics, 9(8), e1003681. https://doi.org/10.1371/journal.pgen.1003681
Liu, Ching-Ti, et al. "Genome-wide association of body fat distribution in African ancestry populations suggests new loci." PLoS genetics vol. 9,8 (2013): e1003681. doi: https://doi.org/10.1371/journal.pgen.1003681
Liu CT, Monda KL, Taylor KC, Lange L, Demerath EW, Palmas W, Wojczynski MK, Ellis JC, Vitolins MZ, Liu S, Papanicolaou GJ, Irvin MR, Xue L, Griffin PJ, Nalls MA, Adeyemo A, Liu J, Li G, Ruiz-Narvaez EA, Chen WM, Chen F, Henderson BE, Millikan RC, Ambrosone CB, Strom SS, Guo X, Andrews JS, Sun YV, Mosley TH, Yanek LR, Shriner D, Haritunians T, Rotter JI, Speliotes EK, Smith M, Rosenberg L, Mychaleckyj J, Nayak U, Spruill I, Garvey WT, Pettaway C, Nyante S, Bandera EV, Britton AF, Zonderman AB, Rasmussen-Torvik LJ, Chen YD, Ding J, Lohman K, Kritchevsky SB, Zhao W, Peyser PA, Kardia SL, Kabagambe E, Broeckel U, Chen G, Zhou J, Wassertheil-Smoller S, Neuhouser ML, Rampersaud E, Psaty B, Kooperberg C, Manson JE, Kuller LH, Ochs-Balcom HM, Johnson KC, Sucheston L, Ordovas JM, Palmer JR, Haiman CA, McKnight B, Howard BV, Becker DM, Bielak LF, Liu Y, Allison MA, Grant SF, Burke GL, Patel SR, Schreiner PJ, Borecki IB, Evans MK, Taylor H, Sale MM, Howard V, Carlson CS, Rotimi CN, Cushman M, Harris TB, Reiner AP, Cupples LA, North KE, Fox CS. Genome-wide association of body fat distribution in African ancestry populations suggests new loci. PLoS Genet. 2013;9(8):e1003681. doi: 10.1371/journal.pgen.1003681. Epub 2013 Aug 15. PMID: 23966867; PMCID: PMC3744443.
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