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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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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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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...

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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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Modeling Bivariate Longitudinal Hormone Profiles by Hierarchical State Space Models.

Journal of the American Statistical Association

Liu Z, Cappola AR, Crofford LJ, Guo W.
PMID: 24729646
J Am Stat Assoc. 2014 Jan 01;109(505):108-118. doi: 10.1080/01621459.2013.830071.

The hypothalamic-pituitary-adrenal (HPA) axis is crucial in coping with stress and maintaining homeostasis. Hormones produced by the HPA axis exhibit both complex univariate longitudinal profiles and complex relationships among different hormones. Consequently, modeling these multivariate longitudinal hormone profiles is...

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Liu Z, Cappola AR, Crofford LJ, et al. Modeling Bivariate Longitudinal Hormone Profiles by Hierarchical State Space Models. J Am Stat Assoc. 2014;109(505):108-118doi: 10.1080/01621459.2013.830071.
Liu, Z., Cappola, A. R., Crofford, L. J., & Guo, W. (2014). Modeling Bivariate Longitudinal Hormone Profiles by Hierarchical State Space Models. Journal of the American Statistical Association, 109(505), 108-118. https://doi.org/10.1080/01621459.2013.830071
Liu, Ziyue, et al. "Modeling Bivariate Longitudinal Hormone Profiles by Hierarchical State Space Models." Journal of the American Statistical Association vol. 109,505 (2014): 108-118. doi: https://doi.org/10.1080/01621459.2013.830071
Liu Z, Cappola AR, Crofford LJ, Guo W. Modeling Bivariate Longitudinal Hormone Profiles by Hierarchical State Space Models. J Am Stat Assoc. 2014 Jan 01;109(505):108-118. doi: 10.1080/01621459.2013.830071. PMID: 24729646; PMCID: PMC3979568.
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Transitions among Health States Using 12 Measures of Successful Aging in Men and Women: Results from the Cardiovascular Health Study.

Journal of aging research

Thielke S, Diehr P.
PMID: 23193476
J Aging Res. 2012;2012:243263. doi: 10.1155/2012/243263. Epub 2012 Oct 21.

Introduction. Successful aging has many dimensions, which may manifest differently in men and women at different ages. Methods. We characterized one-year transitions among health states in 12 measures of successful aging among adults in the Cardiovascular Health Study. The...

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Thielke S, Diehr P. Transitions among Health States Using 12 Measures of Successful Aging in Men and Women: Results from the Cardiovascular Health Study. J Aging Res. 2012;2012:243263doi: 10.1155/2012/243263.
Thielke, S., & Diehr, P. (2012). Transitions among Health States Using 12 Measures of Successful Aging in Men and Women: Results from the Cardiovascular Health Study. Journal of aging research, 2012243263. https://doi.org/10.1155/2012/243263
Thielke, Stephen, and Diehr, Paula. "Transitions among Health States Using 12 Measures of Successful Aging in Men and Women: Results from the Cardiovascular Health Study." Journal of aging research vol. 2012 (2012): 243263. doi: https://doi.org/10.1155/2012/243263
Thielke S, Diehr P. Transitions among Health States Using 12 Measures of Successful Aging in Men and Women: Results from the Cardiovascular Health Study. J Aging Res. 2012;2012:243263. doi: 10.1155/2012/243263. Epub 2012 Oct 21. PMID: 23193476; PMCID: PMC3485538.
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Potential explanatory factors for higher incident hip fracture risk in older diabetic adults.

Current gerontology and geriatrics research

Strotmeyer ES, Kamineni A, Cauley JA, Robbins JA, Fried LF, Siscovick DS, Harris TB, Newman AB.
PMID: 21837239
Curr Gerontol Geriatr Res. 2011;2011:979270. doi: 10.1155/2011/979270. Epub 2011 Aug 07.

Type 2 diabetes is associated with higher fracture risk. Diabetes-related conditions may account for this risk. Cardiovascular Health Study participants (N = 5641; 42.0% men; 15.5% black; 72.8±5.6 years) were followed 10.9 ± 4.6 years. Diabetes was defined as...

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Strotmeyer ES, Kamineni A, Cauley JA, et al. Potential explanatory factors for higher incident hip fracture risk in older diabetic adults. Curr Gerontol Geriatr Res. 2011;2011:979270doi: 10.1155/2011/979270.
Strotmeyer, E. S., Kamineni, A., Cauley, J. A., Robbins, J. A., Fried, L. F., Siscovick, D. S., Harris, T. B., & Newman, A. B. (2011). Potential explanatory factors for higher incident hip fracture risk in older diabetic adults. Current gerontology and geriatrics research, 2011979270. https://doi.org/10.1155/2011/979270
Strotmeyer, Elsa S, et al. "Potential explanatory factors for higher incident hip fracture risk in older diabetic adults." Current gerontology and geriatrics research vol. 2011 (2011): 979270. doi: https://doi.org/10.1155/2011/979270
Strotmeyer ES, Kamineni A, Cauley JA, Robbins JA, Fried LF, Siscovick DS, Harris TB, Newman AB. Potential explanatory factors for higher incident hip fracture risk in older diabetic adults. Curr Gerontol Geriatr Res. 2011;2011:979270. doi: 10.1155/2011/979270. Epub 2011 Aug 07. PMID: 21837239; PMCID: PMC3152969.
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Large-scale international validation of the ADO index in subjects with COPD: an individual subject data analysis of 10 cohorts.

BMJ open

Puhan MA, Hansel NN, Sobradillo P, Enright P, Lange P, Hickson D, Menezes AM, ter Riet G, Held U, Domingo-Salvany A, Mosenifar Z, Antó JM, Moons KG, Kessels A, Garcia-Aymerich J.
PMID: 23242246
BMJ Open. 2012 Dec 12;2(6). doi: 10.1136/bmjopen-2012-002152. Print 2012.

BACKGROUND: Little evidence on the validity of simple and widely applicable tools to predict mortality in patients with chronic obstructive pulmonary disease (COPD) exists.OBJECTIVE: To conduct a large international study to validate the ADO index that uses age, dyspnoea...

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Puhan MA, Hansel NN, Sobradillo P, et al. Large-scale international validation of the ADO index in subjects with COPD: an individual subject data analysis of 10 cohorts. BMJ Open. 2012;2(6)doi: 10.1136/bmjopen-2012-002152.
Puhan, M. A., Hansel, N. N., Sobradillo, P., Enright, P., Lange, P., Hickson, D., Menezes, A. M., ter Riet, G., Held, U., Domingo-Salvany, A., Mosenifar, Z., Antó, J. M., Moons, K. G., Kessels, A., Garcia-Aymerich, J. (2012). Large-scale international validation of the ADO index in subjects with COPD: an individual subject data analysis of 10 cohorts. BMJ open, 2(6), . https://doi.org/10.1136/bmjopen-2012-002152
Puhan, Milo A, et al. "Large-scale international validation of the ADO index in subjects with COPD: an individual subject data analysis of 10 cohorts." BMJ open vol. 2,6 (2012). doi: https://doi.org/10.1136/bmjopen-2012-002152
Puhan MA, Hansel NN, Sobradillo P, Enright P, Lange P, Hickson D, Menezes AM, ter Riet G, Held U, Domingo-Salvany A, Mosenifar Z, Antó JM, Moons KG, Kessels A, Garcia-Aymerich J. Large-scale international validation of the ADO index in subjects with COPD: an individual subject data analysis of 10 cohorts. BMJ Open. 2012 Dec 12;2(6). doi: 10.1136/bmjopen-2012-002152. Print 2012. PMID: 23242246; PMCID: PMC3533065.
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A variant of sparse partial least squares for variable selection and data exploration.

Frontiers in neuroinformatics

Olson Hunt MJ, Weissfeld L, Boudreau RM, Aizenstein H, Newman AB, Simonsick EM, Van Domelen DR, Thomas F, Yaffe K, Rosano C.
PMID: 24624079
Front Neuroinform. 2014 Mar 03;8:18. doi: 10.3389/fninf.2014.00018. eCollection 2014.

When data are sparse and/or predictors multicollinear, current implementation of sparse partial least squares (SPLS) does not give estimates for non-selected predictors nor provide a measure of inference. In response, an approach termed "all-possible" SPLS is proposed, which fits...

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Olson Hunt MJ, Weissfeld L, Boudreau RM, et al. A variant of sparse partial least squares for variable selection and data exploration. Front Neuroinform. 2014;8:18doi: 10.3389/fninf.2014.00018.
Olson Hunt, M. J., Weissfeld, L., Boudreau, R. M., Aizenstein, H., Newman, A. B., Simonsick, E. M., Van Domelen, D. R., Thomas, F., Yaffe, K., & Rosano, C. (2014). A variant of sparse partial least squares for variable selection and data exploration. Frontiers in neuroinformatics, 818. https://doi.org/10.3389/fninf.2014.00018
Olson Hunt, Megan J, et al. "A variant of sparse partial least squares for variable selection and data exploration." Frontiers in neuroinformatics vol. 8 (2014): 18. doi: https://doi.org/10.3389/fninf.2014.00018
Olson Hunt MJ, Weissfeld L, Boudreau RM, Aizenstein H, Newman AB, Simonsick EM, Van Domelen DR, Thomas F, Yaffe K, Rosano C. A variant of sparse partial least squares for variable selection and data exploration. Front Neuroinform. 2014 Mar 03;8:18. doi: 10.3389/fninf.2014.00018. eCollection 2014. PMID: 24624079; PMCID: PMC3939647.
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