HRS Bibliography

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2017

Crimmins EM, Beltrán-Sánchez H, Brown LL, et al. Ageing in North America: Canada and the United States. In: Oxford Textbook of Geriatric Medicine. 3rdrd ed. Oxford Textbook of Geriatric Medicine. Cary, NC: Oxford University Press; 2017:19-26.
Direk N, Williams S, Smith JA, et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry. 2017;82(5):322-329. doi:10.1016/j.biopsych.2016.11.013.
An R, Yan H. Body weight status and telomere length in U.S. middle-aged and older adults. Obes Res Clin Pract. 2017;11(1):51-62. doi:10.1016/j.orcp.2016.01.003.
http://www.ncbi.nlm.nih.gov/pubmed/26895795?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Yank V, Agarwal S, Loftus P, Asch S, Rehkopf D. Crowdsourced health data: Comparability to a US national survey, 2013–2015. American Journal of Public Health. 2017;107(8):1283-1289. doi:10.2105/AJPH.2017.303824.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
Joo H, Wang G, Yee SLin, Zhang P, Sleet D. Economic Burden of Informal Caregiving Associated With History of Stroke and Falls Among Older Adults in the U.S. American Journal of Preventive Medicine. 2017;53(6):S197-S204. doi:10.1016/j.amepre.2017.07.020.
J. Andrews S, Desai U, Kirson NY, et al. Functional limitations and health care resource utilization for individuals with cognitive impairment without dementia: Findings from a United States population-based survey. Alzheimer's & Dementia. 2017;6:65-74. doi:10.1016/j.dadm.2016.11.005.
Zhao W, Yasutake K, August C, et al. Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health. 2017;14(12). doi:10.3390/ijerph14121596.
http://www.ncbi.nlm.nih.gov/pubmed/29258278?dopt=Abstract
Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nature Communications. 2017;8(1):910. doi:10.1038/s41467-017-00934-5.
Robinson MR, English G, Moser G, et al. Genotype–covariate interaction effects and the heritability of adult body mass index. Nature Genetics. 2017;49(8):1174-1181. doi:10.1038/ng.3912.
Yorke AM, Curtis AB, Shoemaker M, Vangsnes E. The impact of multimorbidity on grip strength in adults age 50 and older: Data from the Health and Retirement Survey (HRS). Archives of Gerontology and Geriatrics. 2017;72:164-168. doi:10.1016/j.archger.2017.05.011.
Borella M, De Nardi M, Yang F. Marriage-related Policies in an Estimated Life-cycle Model of Households' Labor Supply and Savings for Two Cohorts. Ann Arbor, MI: Michigan Retirement Research Center; 2017:1-79.
McEvoy CT, Guyer HM, Langa KM, Yaffe K. Neuroprotective diets are associated with better cognitive function: The Health and Retirement Study. Journal of the American Geriatrics Society. 2017;65(8):1857-1862. doi:10.1111/jgs.14922.
http://www.ncbi.nlm.nih.gov/pubmed/28440854?dopt=Abstract
Kraja AT, Cook JP, Warren HR, et al. New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. Circulation: Cardiovascular Genetics. 2017;10(5):e001778. doi:10.1161/CIRCGENETICS.117.001778.
Kraja AT, Cook JP, Warren HR, et al. New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. Circulation: Cardiovascular Genetics. 2017;10(5):e001778. doi:10.1161/CIRCGENETICS.117.001778.
Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
Marouli E, Graff M,