HRS Bibliography

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Journal Article

Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Sun D, Richard M, Musani SK, et al. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. Human Genetics and Genomics Advances. 2021;2(1):100013. doi:10.1016/j.xhgg.2020.100013.
Sun D, Richard M, Musani SK, et al. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. Human Genetics and Genomics Advances. 2021;2(1):100013. doi:10.1016/j.xhgg.2020.100013.
Sun D, Richard M, Musani SK, et al. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. Human Genetics and Genomics Advances. 2021;2(1):100013. doi:10.1016/j.xhgg.2020.100013.
George CJ, Verghese J. Motoric Cognitive Risk Syndrome in Polypharmacy. Journal of the American Geriatrics Society. 2020. doi:10.1111/jgs.16380.
Ayers E, Verghese J. Motoric cognitive risk syndrome and risk of mortality in older adults. Alzheimers Dement. 2016;12(5):556-64. doi:10.1016/j.jalz.2015.08.167.
http://www.ncbi.nlm.nih.gov/pubmed/26545790?dopt=Abstract
Vable AM, Eng CW, Mayeda ER, et al. Mother's education and late-life disparities in memory and dementia risk among US military veterans and non-veterans. Journal of Epidemiology and Community Health. 2018;72(12):1162-1167. doi:10.1136/jech-2018-210771.
http://www.ncbi.nlm.nih.gov/pubmed/30082424?dopt=Abstract
Vinneau JM, Huibregtse BM, Laidley TM, Goode JA, Boardman JD. Mortality and Obesity among US Older Adults: The Role of Polygenic Risk. The Journals of Gerontology, Series B. 2021;76(2):343-347. doi:10.1093/geronb/gbz156.
Verghese J, Wang C, Allali G, Holtzer R, Ayers E. Modifiable Risk Factors for New-Onset Slow Gait in Older Adults. Journal of the American Medical Directors Association. 2016;17(5):421-425. doi:10.1016/j.jamda.2016.01.017.
Vable AM, Kiang MV, Basu S, et al. Military Service, Childhood Socio-Economic Status, and Late-Life Lung Function: Korean War Era Military Service Associated with Smaller Disparities. Military Medicine. 2018. doi:10.1093/milmed/usx196.
http://www.ncbi.nlm.nih.gov/pubmed/29509934?dopt=Abstract
Bradley DE, Van Willigen M. Migration and psychological well-being among older adults: a growth curve analysis based on panel data from the Health and Retirement Study, 1996-2006. J Aging Health. 2010;22(7):882-913. doi:10.1177/0898264310368430.
http://www.ncbi.nlm.nih.gov/pubmed/20495157?dopt=Abstract
Machado S, Sumarsono A, Vaduganathan M. Midlife Wealth Mobility and Long-term Cardiovascular Health. JAMA Cardiology. 2021;6(10):1152-1160. doi:10.1001/jamacardio.2021.2056.
Verbrugge LM, Li X. Midlife trends in activities and disability. Journal of Aging and Health. 2014;26(2):178-206. doi:10.1177/0898264313508189.
Brown SL, Lin I-F, Vielee A, Mellencamp KA. Midlife Marital Dissolution and the Onset of Cognitive Impairment. Gerontologist. 2021;61(7):1085-1094. doi:10.1093/geront/gnaa193.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.