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Coordinated Action of Biological Processes during Embryogenesis Can Cause Genome-Wide Linkage Disequilibrium in the Human Genome and Influence Age-Related Phenotypes.

Annals of gerontology and geriatric research

Culminskaya I, Kulminski AM, Yashin AI.
PMID: 28357417
Ann Gerontol Geriatr Res. 2016;3(1). Epub 2016 May 04.

A role of non-Mendelian inheritance in genetics of complex, age-related traits is becoming increasingly recognized. Recently, we reported on two inheritable clusters of SNPs in extensive genome-wide linkage disequilibrium (LD) in the Framingham Heart Study (FHS), which were associated...

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Culminskaya I, Kulminski AM, Yashin AI. Coordinated Action of Biological Processes during Embryogenesis Can Cause Genome-Wide Linkage Disequilibrium in the Human Genome and Influence Age-Related Phenotypes. Ann Gerontol Geriatr Res. 2016;3(1)
Culminskaya, I., Kulminski, A. M., & Yashin, A. I. (2016). Coordinated Action of Biological Processes during Embryogenesis Can Cause Genome-Wide Linkage Disequilibrium in the Human Genome and Influence Age-Related Phenotypes. Annals of gerontology and geriatric research, 3(1), .
Culminskaya, Irina, et al. "Coordinated Action of Biological Processes during Embryogenesis Can Cause Genome-Wide Linkage Disequilibrium in the Human Genome and Influence Age-Related Phenotypes." Annals of gerontology and geriatric research vol. 3,1 (2016).
Culminskaya I, Kulminski AM, Yashin AI. Coordinated Action of Biological Processes during Embryogenesis Can Cause Genome-Wide Linkage Disequilibrium in the Human Genome and Influence Age-Related Phenotypes. Ann Gerontol Geriatr Res. 2016;3(1). Epub 2016 May 04. PMID: 28357417; PMCID: PMC5367637.
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Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9.

Frontiers in genetics

Simino J, Sung YJ, Kume R, Schwander K, Rao DC.
PMID: 24376456
Front Genet. 2013 Dec 12;4:277. doi: 10.3389/fgene.2013.00277. eCollection 2013.

Alcohol consumption is a known risk factor for hypertension, with recent candidate studies implicating gene-alcohol interactions in blood pressure (BP) regulation. We used 6882 (predominantly) Caucasian participants aged 20-80 years from the Framingham SNP Health Association Resource (SHARe) to...

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Simino J, Sung YJ, Kume R, et al. Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9. Front Genet. 2013;4:277doi: 10.3389/fgene.2013.00277.
Simino, J., Sung, Y. J., Kume, R., Schwander, K., & Rao, D. C. (2013). Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9. Frontiers in genetics, 4277. https://doi.org/10.3389/fgene.2013.00277
Simino, Jeannette, et al. "Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9." Frontiers in genetics vol. 4 (2013): 277. doi: https://doi.org/10.3389/fgene.2013.00277
Simino J, Sung YJ, Kume R, Schwander K, Rao DC. Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9. Front Genet. 2013 Dec 12;4:277. doi: 10.3389/fgene.2013.00277. eCollection 2013. PMID: 24376456; PMCID: PMC3860258.
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Comparison of two methods for analysis of gene-environment interactions in longitudinal family data: the Framingham heart study.

Frontiers in genetics

Sung YJ, Simino J, Kume R, Basson J, Schwander K, Rao DC.
PMID: 24523728
Front Genet. 2014 Jan 30;5:9. doi: 10.3389/fgene.2014.00009. eCollection 2014.

Gene-environment interaction (GEI) analysis can potentially enhance gene discovery for common complex traits. However, genome-wide interaction analysis is computationally intensive. Moreover, analysis of longitudinal data in families is much more challenging due to the two sources of correlations arising...

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Sung YJ, Simino J, Kume R, et al. Comparison of two methods for analysis of gene-environment interactions in longitudinal family data: the Framingham heart study. Front Genet. 2014;5:9doi: 10.3389/fgene.2014.00009.
Sung, Y. J., Simino, J., Kume, R., Basson, J., Schwander, K., & Rao, D. C. (2014). Comparison of two methods for analysis of gene-environment interactions in longitudinal family data: the Framingham heart study. Frontiers in genetics, 59. https://doi.org/10.3389/fgene.2014.00009
Sung, Yun Ju, et al. "Comparison of two methods for analysis of gene-environment interactions in longitudinal family data: the Framingham heart study." Frontiers in genetics vol. 5 (2014): 9. doi: https://doi.org/10.3389/fgene.2014.00009
Sung YJ, Simino J, Kume R, Basson J, Schwander K, Rao DC. Comparison of two methods for analysis of gene-environment interactions in longitudinal family data: the Framingham heart study. Front Genet. 2014 Jan 30;5:9. doi: 10.3389/fgene.2014.00009. eCollection 2014. PMID: 24523728; PMCID: PMC3906599.
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Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits.

Psychosomatic medicine

Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J.
PMID: 29280852
Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555.

OBJECTIVE: Shared genetic background may explain phenotypic associations between depression and Type 2 diabetes (T2D). We aimed to study, on a genome-wide level, if genetic correlation and pleiotropic loci exist between depressive symptoms and T2D or glycemic traits.METHODS: We...

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Haljas K, Amare AT, Alizadeh BZ, et al. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med. 2018;80(3):242-251doi: 10.1097/PSY.0000000000000555.
Haljas, K., Amare, A. T., Alizadeh, B. Z., Hsu, Y. H., Mosley, T., Newman, A., Murabito, J., Tiemeier, H., Tanaka, T., van Duijn, C., Ding, J., Llewellyn, D. J., Bennett, D. A., Terracciano, A., Launer, L., Ladwig, K. H., Cornelis, M. C., Teumer, A., Grabe, H., Kardia, S. L. R., Ware, E. B., Smith, J. A., Snieder, H., Eriksson, J. G., Groop, L., Räikkönen, K., & Lahti, J. (2018). Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosomatic medicine, 80(3), 242-251. https://doi.org/10.1097/PSY.0000000000000555
Haljas, Kadri, et al. "Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits." Psychosomatic medicine vol. 80,3 (2018): 242-251. doi: https://doi.org/10.1097/PSY.0000000000000555
Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555. PMID: 29280852; PMCID: PMC6051528.
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Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies.

Journal of the American Statistical Association

He Z, Zhang M, Lee S, Smith JA, Kardia SLR, Diez Roux AV, Mukherjee B.
PMID: 29780190
J Am Stat Assoc. 2017;112(519):966-978. doi: 10.1080/01621459.2016.1252266. Epub 2016 Dec 16.

We propose a generalized score type test for set-based inference for gene-environment interaction with longitudinally measured quantitative traits. The test is robust to misspecification of within subject correlation structure and has enhanced power compared to existing alternatives. Unlike tests...

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He Z, Zhang M, Lee S, et al. Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies. J Am Stat Assoc. 2016;112(519):966-978doi: 10.1080/01621459.2016.1252266.
He, Z., Zhang, M., Lee, S., Smith, J. A., Kardia, S. L. R., Diez Roux, A. V., & Mukherjee, B. (2017). Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies. Journal of the American Statistical Association, 112(519), 966-978. https://doi.org/10.1080/01621459.2016.1252266
He, Zihuai, et al. "Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies." Journal of the American Statistical Association vol. 112,519 (2017): 966-978. doi: https://doi.org/10.1080/01621459.2016.1252266
He Z, Zhang M, Lee S, Smith JA, Kardia SLR, Diez Roux AV, Mukherjee B. Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies. J Am Stat Assoc. 2017;112(519):966-978. doi: 10.1080/01621459.2016.1252266. Epub 2016 Dec 16. PMID: 29780190; PMCID: PMC5954413.
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Plasma levels of trimethylamine-N-oxide can be increased with 'healthy' and 'unhealthy' diets and do not correlate with the extent of atherosclerosis but with plaque instability.

Cardiovascular research

Koay YC, Chen YC, Wali JA, Luk AWS, Li M, Doma H, Reimark R, Zaldivia MTK, Habtom HT, Franks AE, Fusco-Allison G, Yang J, Holmes A, Simpson SJ, Peter K, O'Sullivan JF.
PMID: 32267921
Cardiovasc Res. 2021 Jan 21;117(2):435-449. doi: 10.1093/cvr/cvaa094.

AIMS: The microbiome-derived metabolite trimethylamine-N-oxide (TMAO) has attracted major interest and controversy both as a diagnostic biomarker and therapeutic target in atherothrombosis.METHODS AND RESULTS: Plasma TMAO increased in mice on 'unhealthy' high-choline diets and notably also on 'healthy' high-fibre...

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Koay YC, Chen YC, Wali JA, et al. Plasma levels of trimethylamine-N-oxide can be increased with 'healthy' and 'unhealthy' diets and do not correlate with the extent of atherosclerosis but with plaque instability. Cardiovasc Res. 2021;117(2):435-449doi: 10.1093/cvr/cvaa094.
Koay, Y. C., Chen, Y. C., Wali, J. A., Luk, A. W. S., Li, M., Doma, H., Reimark, R., Zaldivia, M. T. K., Habtom, H. T., Franks, A. E., Fusco-Allison, G., Yang, J., Holmes, A., Simpson, S. J., Peter, K., & O'Sullivan, J. F. (2021). Plasma levels of trimethylamine-N-oxide can be increased with 'healthy' and 'unhealthy' diets and do not correlate with the extent of atherosclerosis but with plaque instability. Cardiovascular research, 117(2), 435-449. https://doi.org/10.1093/cvr/cvaa094
Koay, Yen Chin, et al. "Plasma levels of trimethylamine-N-oxide can be increased with 'healthy' and 'unhealthy' diets and do not correlate with the extent of atherosclerosis but with plaque instability." Cardiovascular research vol. 117,2 (2021): 435-449. doi: https://doi.org/10.1093/cvr/cvaa094
Koay YC, Chen YC, Wali JA, Luk AWS, Li M, Doma H, Reimark R, Zaldivia MTK, Habtom HT, Franks AE, Fusco-Allison G, Yang J, Holmes A, Simpson SJ, Peter K, O'Sullivan JF. Plasma levels of trimethylamine-N-oxide can be increased with 'healthy' and 'unhealthy' diets and do not correlate with the extent of atherosclerosis but with plaque instability. Cardiovasc Res. 2021 Jan 21;117(2):435-449. doi: 10.1093/cvr/cvaa094. PMID: 32267921; PMCID: PMC8599768.
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The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages.

Brain communications

Li S, Weinstein G, Zare H, Teumer A, Völker U, Friedrich N, Knol MJ, Satizabal CL, Petyuk VA, Adams HHH, Launer LJ, Bennett DA, De Jager PL, Grabe HJ, Ikram MA, Gudnason V, Yang Q, Seshadri S.
PMID: 33345186
Brain Commun. 2020 Oct 28;2(2):fcaa176. doi: 10.1093/braincomms/fcaa176. eCollection 2020.

Brain-derived neurotrophic factor (BDNF) plays an important role in brain development and function. Substantial amounts of BDNF are present in peripheral blood, and may serve as biomarkers for Alzheimer's disease incidence as well as targets for intervention to reduce...

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Li S, Weinstein G, Zare H, et al. The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Commun. 2020;2(2):fcaa176doi: 10.1093/braincomms/fcaa176.
Li, S., Weinstein, G., Zare, H., Teumer, A., Völker, U., Friedrich, N., Knol, M. J., Satizabal, C. L., Petyuk, V. A., Adams, H. H. H., Launer, L. J., Bennett, D. A., De Jager, P. L., Grabe, H. J., Ikram, M. A., Gudnason, V., Yang, Q., & Seshadri, S. (2020). The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain communications, 2(2), fcaa176. https://doi.org/10.1093/braincomms/fcaa176
Li, Shuo, et al. "The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages." Brain communications vol. 2,2 (2020): fcaa176. doi: https://doi.org/10.1093/braincomms/fcaa176
Li S, Weinstein G, Zare H, Teumer A, Völker U, Friedrich N, Knol MJ, Satizabal CL, Petyuk VA, Adams HHH, Launer LJ, Bennett DA, De Jager PL, Grabe HJ, Ikram MA, Gudnason V, Yang Q, Seshadri S. The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Commun. 2020 Oct 28;2(2):fcaa176. doi: 10.1093/braincomms/fcaa176. eCollection 2020. PMID: 33345186; PMCID: PMC7734441.
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Associations of Alcohol Consumption with Cardiovascular Disease-Related Proteomic Biomarkers: The Framingham Heart Study.

The Journal of nutrition

Sun X, Ho JE, Gao H, Evangelou E, Yao C, Huan T, Hwang SJ, Courchesne P, Larson MG, Levy D, Ma J, Liu C.
PMID: 34159370
J Nutr. 2021 Sep 04;151(9):2574-2582. doi: 10.1093/jn/nxab186.

BACKGROUND: Alcohol consumption and cardiovascular disease (CVD) have a complex relation.OBJECTIVES: We examined the associations between alcohol consumption, fasting plasma proteins, and CVD risk.METHODS: We performed cross-sectional association analyses of alcohol consumption with 71 CVD-related plasma proteins, and also...

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Sun X, Ho JE, Gao H, et al. Associations of Alcohol Consumption with Cardiovascular Disease-Related Proteomic Biomarkers: The Framingham Heart Study. J Nutr. 2021;151(9):2574-2582doi: 10.1093/jn/nxab186.
Sun, X., Ho, J. E., Gao, H., Evangelou, E., Yao, C., Huan, T., Hwang, S. J., Courchesne, P., Larson, M. G., Levy, D., Ma, J., & Liu, C. (2021). Associations of Alcohol Consumption with Cardiovascular Disease-Related Proteomic Biomarkers: The Framingham Heart Study. The Journal of nutrition, 151(9), 2574-2582. https://doi.org/10.1093/jn/nxab186
Sun, Xianbang, et al. "Associations of Alcohol Consumption with Cardiovascular Disease-Related Proteomic Biomarkers: The Framingham Heart Study." The Journal of nutrition vol. 151,9 (2021): 2574-2582. doi: https://doi.org/10.1093/jn/nxab186
Sun X, Ho JE, Gao H, Evangelou E, Yao C, Huan T, Hwang SJ, Courchesne P, Larson MG, Levy D, Ma J, Liu C. Associations of Alcohol Consumption with Cardiovascular Disease-Related Proteomic Biomarkers: The Framingham Heart Study. J Nutr. 2021 Sep 04;151(9):2574-2582. doi: 10.1093/jn/nxab186. PMID: 34159370; PMCID: PMC8417922.
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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,...

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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.
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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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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...

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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.
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A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women.

Bone reports

Taylor KC, Evans DS, Edwards DRV, Edwards TL, Sofer T, Li G, Liu Y, Franceschini N, Jackson RD, Giri A, Donneyong M, Psaty B, Rotter JI, LaCroix AZ, Jordan JM, Robbins JA, Lewis B, Stefanick ML, Liu Y, Garcia M, Harris T, Cauley JA, North KE.
PMID: 28580392
Bone Rep. 2016 Aug 27;5:233-242. doi: 10.1016/j.bonr.2016.08.005. eCollection 2016 Dec.

BACKGROUND: Osteoporosis is a major public health problem associated with excess disability and mortality. It is estimated that 50-70% of the variation in osteoporotic fracture risk is attributable to genetic factors. The purpose of this hypothesis-generating study was to...

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Taylor KC, Evans DS, Edwards DRV, et al. A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women. Bone Rep. 2016;5:233-242doi: 10.1016/j.bonr.2016.08.005.
Taylor, K. C., Evans, D. S., Edwards, D. R. V., Edwards, T. L., Sofer, T., Li, G., Liu, Y., Franceschini, N., Jackson, R. D., Giri, A., Donneyong, M., Psaty, B., Rotter, J. I., LaCroix, A. Z., Jordan, J. M., Robbins, J. A., Lewis, B., Stefanick, M. L., Liu, Y., Garcia, M., Harris, T., Cauley, J. A., & North, K. E. (2016). A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women. Bone reports, 5233-242. https://doi.org/10.1016/j.bonr.2016.08.005
Taylor, Kira C, et al. "A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women." Bone reports vol. 5 (2016): 233-242. doi: https://doi.org/10.1016/j.bonr.2016.08.005
Taylor KC, Evans DS, Edwards DRV, Edwards TL, Sofer T, Li G, Liu Y, Franceschini N, Jackson RD, Giri A, Donneyong M, Psaty B, Rotter JI, LaCroix AZ, Jordan JM, Robbins JA, Lewis B, Stefanick ML, Liu Y, Garcia M, Harris T, Cauley JA, North KE. A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women. Bone Rep. 2016 Aug 27;5:233-242. doi: 10.1016/j.bonr.2016.08.005. eCollection 2016 Dec. PMID: 28580392; PMCID: PMC5440953.
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Showing 1 to 12 of 31 entries