Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 10 of 10 entries
Sorted by: Best Match Show Resources per page
Double genomic control is not effective to correct for population stratification in meta-analysis for genome-wide association studies.

Frontiers in genetics

Wang S, Chen W, Chen X, Hu F, Archer KJ, Liu HN, Sun S, Gao G.
PMID: 23269928
Front Genet. 2012 Dec 24;3:300. doi: 10.3389/fgene.2012.00300. eCollection 2012.

Meta-analysis of genome-wide association studies (GWAS) has become a useful tool to identify genetic variants that are associated with complex human diseases. To control spurious associations between genetic variants and disease that are caused by population stratification, double genomic...

Cite
Wang S, Chen W, Chen X, et al. Double genomic control is not effective to correct for population stratification in meta-analysis for genome-wide association studies. Front Genet. 2012;3:300doi: 10.3389/fgene.2012.00300.
Wang, S., Chen, W., Chen, X., Hu, F., Archer, K. J., Liu, H. N., Sun, S., & Gao, G. (2012). Double genomic control is not effective to correct for population stratification in meta-analysis for genome-wide association studies. Frontiers in genetics, 3300. https://doi.org/10.3389/fgene.2012.00300
Wang, Shudong, et al. "Double genomic control is not effective to correct for population stratification in meta-analysis for genome-wide association studies." Frontiers in genetics vol. 3 (2012): 300. doi: https://doi.org/10.3389/fgene.2012.00300
Wang S, Chen W, Chen X, Hu F, Archer KJ, Liu HN, Sun S, Gao G. Double genomic control is not effective to correct for population stratification in meta-analysis for genome-wide association studies. Front Genet. 2012 Dec 24;3:300. doi: 10.3389/fgene.2012.00300. eCollection 2012. PMID: 23269928; PMCID: PMC3529452.
Copy Download .nbib Format: NLM
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.
Copy Download .nbib Format: NLM
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.
Copy Download .nbib Format: NLM
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.
Copy Download .nbib Format: NLM
Polygenic Scores for Height in Admixed Populations.

G3 (Bethesda, Md.)

Bitarello BD, Mathieson I.
PMID: 32878958
G3 (Bethesda). 2020 Nov 05;10(11):4027-4036. doi: 10.1534/g3.120.401658.

Polygenic risk scores (PRS) use the results of genome-wide association studies (GWAS) to predict quantitative phenotypes or disease risk at an individual level, and provide a potential route to the use of genetic data in personalized medical care. However,...

Cite
Bitarello BD, Mathieson I. Polygenic Scores for Height in Admixed Populations. G3 (Bethesda). 2020;10(11):4027-4036doi: 10.1534/g3.120.401658.
Bitarello, B. D., & Mathieson, I. (2020). Polygenic Scores for Height in Admixed Populations. G3 (Bethesda, Md.), 10(11), 4027-4036. https://doi.org/10.1534/g3.120.401658
Bitarello, Bárbara D, and Mathieson, Iain. "Polygenic Scores for Height in Admixed Populations." G3 (Bethesda, Md.) vol. 10,11 (2020): 4027-4036. doi: https://doi.org/10.1534/g3.120.401658
Bitarello BD, Mathieson I. Polygenic Scores for Height in Admixed Populations. G3 (Bethesda). 2020 Nov 05;10(11):4027-4036. doi: 10.1534/g3.120.401658. PMID: 32878958; PMCID: PMC7642950.
Copy Download .nbib Format: NLM
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...

Cite
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.
Copy Download .nbib Format: NLM
Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans.

Human genomics

Guan M, Keaton JM, Dimitrov L, Hicks PJ, Xu J, Palmer ND, Ma L, Das SK, Chen YI, Coresh J, Fornage M, Franceschini N, Kramer H, Langefeld CD, Mychaleckyj JC, Parekh RS, Post WS, Rasmussen-Torvik LJ, Rich SS, Rotter JI, Sedor JR, Thornley-Brown D, Tin A, Wilson JG, Freedman BI, Bowden DW, Ng MCY.
PMID: 31092297
Hum Genomics. 2019 May 15;13(1):21. doi: 10.1186/s40246-019-0205-7.

BACKGROUND: End-stage kidney disease (ESKD) is a significant public health concern disproportionately affecting African Americans (AAs). Type 2 diabetes (T2D) is the leading cause of ESKD in the USA, and efforts to uncover genetic susceptibility to diabetic kidney disease...

Cite
Guan M, Keaton JM, Dimitrov L, et al. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. Hum Genomics. 2019;13(1):21doi: 10.1186/s40246-019-0205-7.
Guan, M., Keaton, J. M., Dimitrov, L., Hicks, P. J., Xu, J., Palmer, N. D., Ma, L., Das, S. K., Chen, Y. I., Coresh, J., Fornage, M., Franceschini, N., Kramer, H., Langefeld, C. D., Mychaleckyj, J. C., Parekh, R. S., Post, W. S., Rasmussen-Torvik, L. J., Rich, S. S., Rotter, J. I., Sedor, J. R., Thornley-Brown, D., Tin, A., Wilson, J. G., Freedman, B. I., Bowden, D. W., Ng, M. C. Y. (2019). Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. Human genomics, 13(1), 21. https://doi.org/10.1186/s40246-019-0205-7
Guan, Meijian, et al. "Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans." Human genomics vol. 13,1 (2019): 21. doi: https://doi.org/10.1186/s40246-019-0205-7
Guan M, Keaton JM, Dimitrov L, Hicks PJ, Xu J, Palmer ND, Ma L, Das SK, Chen YI, Coresh J, Fornage M, Franceschini N, Kramer H, Langefeld CD, Mychaleckyj JC, Parekh RS, Post WS, Rasmussen-Torvik LJ, Rich SS, Rotter JI, Sedor JR, Thornley-Brown D, Tin A, Wilson JG, Freedman BI, Bowden DW, Ng MCY. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. Hum Genomics. 2019 May 15;13(1):21. doi: 10.1186/s40246-019-0205-7. PMID: 31092297; PMCID: PMC6521376.
Copy Download .nbib Format: NLM
Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans.

Human genomics

Guan M, Keaton JM, Dimitrov L, Hicks PJ, Xu J, Palmer ND, Ma L, Das SK, Chen YI, Coresh J, Fornage M, Franceschini N, Kramer H, Langefeld CD, Mychaleckyj JC, Parekh RS, Post WS, Rasmussen-Torvik LJ, Rich SS, Rotter JI, Sedor JR, Thornley-Brown D, Tin A, Wilson JG, Freedman BI, Bowden DW, Ng MCY.
PMID: 31092297
Hum Genomics. 2019 May 15;13(1):21. doi: 10.1186/s40246-019-0205-7.

BACKGROUND: End-stage kidney disease (ESKD) is a significant public health concern disproportionately affecting African Americans (AAs). Type 2 diabetes (T2D) is the leading cause of ESKD in the USA, and efforts to uncover genetic susceptibility to diabetic kidney disease...

Cite
Guan M, Keaton JM, Dimitrov L, et al. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. Hum Genomics. 2019;13(1):21doi: 10.1186/s40246-019-0205-7.
Guan, M., Keaton, J. M., Dimitrov, L., Hicks, P. J., Xu, J., Palmer, N. D., Ma, L., Das, S. K., Chen, Y. I., Coresh, J., Fornage, M., Franceschini, N., Kramer, H., Langefeld, C. D., Mychaleckyj, J. C., Parekh, R. S., Post, W. S., Rasmussen-Torvik, L. J., Rich, S. S., Rotter, J. I., Sedor, J. R., Thornley-Brown, D., Tin, A., Wilson, J. G., Freedman, B. I., Bowden, D. W., Ng, M. C. Y. (2019). Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. Human genomics, 13(1), 21. https://doi.org/10.1186/s40246-019-0205-7
Guan, Meijian, et al. "Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans." Human genomics vol. 13,1 (2019): 21. doi: https://doi.org/10.1186/s40246-019-0205-7
Guan M, Keaton JM, Dimitrov L, Hicks PJ, Xu J, Palmer ND, Ma L, Das SK, Chen YI, Coresh J, Fornage M, Franceschini N, Kramer H, Langefeld CD, Mychaleckyj JC, Parekh RS, Post WS, Rasmussen-Torvik LJ, Rich SS, Rotter JI, Sedor JR, Thornley-Brown D, Tin A, Wilson JG, Freedman BI, Bowden DW, Ng MCY. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. Hum Genomics. 2019 May 15;13(1):21. doi: 10.1186/s40246-019-0205-7. PMID: 31092297; PMCID: PMC6521376.
Copy Download .nbib Format: NLM
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.
Copy Download .nbib Format: NLM
Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans.

Human genomics

Guan M, Keaton JM, Dimitrov L, Hicks PJ, Xu J, Palmer ND, Ma L, Das SK, Chen YI, Coresh J, Fornage M, Franceschini N, Kramer H, Langefeld CD, Mychaleckyj JC, Parekh RS, Post WS, Rasmussen-Torvik LJ, Rich SS, Rotter JI, Sedor JR, Thornley-Brown D, Tin A, Wilson JG, Freedman BI, Bowden DW, Ng MCY.
PMID: 31092297
Hum Genomics. 2019 May 15;13(1):21. doi: 10.1186/s40246-019-0205-7.

BACKGROUND: End-stage kidney disease (ESKD) is a significant public health concern disproportionately affecting African Americans (AAs). Type 2 diabetes (T2D) is the leading cause of ESKD in the USA, and efforts to uncover genetic susceptibility to diabetic kidney disease...

Cite
Guan M, Keaton JM, Dimitrov L, et al. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. Hum Genomics. 2019;13(1):21doi: 10.1186/s40246-019-0205-7.
Guan, M., Keaton, J. M., Dimitrov, L., Hicks, P. J., Xu, J., Palmer, N. D., Ma, L., Das, S. K., Chen, Y. I., Coresh, J., Fornage, M., Franceschini, N., Kramer, H., Langefeld, C. D., Mychaleckyj, J. C., Parekh, R. S., Post, W. S., Rasmussen-Torvik, L. J., Rich, S. S., Rotter, J. I., Sedor, J. R., Thornley-Brown, D., Tin, A., Wilson, J. G., Freedman, B. I., Bowden, D. W., Ng, M. C. Y. (2019). Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. Human genomics, 13(1), 21. https://doi.org/10.1186/s40246-019-0205-7
Guan, Meijian, et al. "Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans." Human genomics vol. 13,1 (2019): 21. doi: https://doi.org/10.1186/s40246-019-0205-7
Guan M, Keaton JM, Dimitrov L, Hicks PJ, Xu J, Palmer ND, Ma L, Das SK, Chen YI, Coresh J, Fornage M, Franceschini N, Kramer H, Langefeld CD, Mychaleckyj JC, Parekh RS, Post WS, Rasmussen-Torvik LJ, Rich SS, Rotter JI, Sedor JR, Thornley-Brown D, Tin A, Wilson JG, Freedman BI, Bowden DW, Ng MCY. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. Hum Genomics. 2019 May 15;13(1):21. doi: 10.1186/s40246-019-0205-7. PMID: 31092297; PMCID: PMC6521376.
Copy Download .nbib Format: NLM
Showing 1 to 10 of 10 entries