HRS Bibliography

Bibliography Search
Export 448 results:
Filters: First Letter Of Last Name is Y  [Clear All Filters]

G

Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics. 2018;50(7):912 - 919. doi:10.1038/s41588-018-0152-6.
Okbay A, Beauchamp JP, Fontana MAlan, et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature. 2016;533(7604):539-42. doi:10.1038/nature17671.
http://www.ncbi.nlm.nih.gov/pubmed/27225129?dopt=Abstract
Okbay A, Beauchamp JP, Fontana MAlan, et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature. 2016;533(7604):539-42. doi:10.1038/nature17671.
http://www.ncbi.nlm.nih.gov/pubmed/27225129?dopt=Abstract
Jian X, Sofer T, Tarraf W, et al. Genome-wide association study of cognitive function in diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos. Translational Psychiatry. 2020;10(1):245. doi:10.1038/s41398-020-00930-2.
Ye Y, Noche RB, Szejko N, et al. A genome-wide association study of frailty identifies significant genetic correlation with neuropsychiatric, cardiovascular, and inflammation pathways. Geroscience. 2023. doi:10.1007/s11357-023-00771-z.
Lahti J, Tuominen S, Yang Q, et al. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Molecular Psychiatry. 2022. doi:10.1038/s41380-022-01710-8.
Lahti J, Tuominen S, Yang Q, et al. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Molecular Psychiatry. 2022. doi:10.1038/s41380-022-01710-8.
Lahti J, Tuominen S, Yang Q, et al. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Molecular Psychiatry. 2022. doi:10.1038/s41380-022-01710-8.
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.
Li W-D, Wang J, Allen T, et al. Getting under the skin? Influences of work-family experiences on personality trait adaptation and reciprocal relationships. J Pers Soc Psychol. 2023. doi:10.1037/pspp0000476.
Yorke AM. Grip strength, multimorbidity, and disability. 2013;3579432:95.
Yorke AM, Curtis AB, Shoemaker M, Vangsnes E. Grip Strength Values Stratified by Age, Gender, and Chronic Disease Status in Adults Aged 50 Years and Older. Journal of Geriatric Physical Therapy. 2015;38(3):115-121. doi:10.1519/jpt.0000000000000037.
Matteini AM, Tanaka T, Karasik D, et al. GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell. 2016;15(5):792-800. doi:10.1111/acel.12468.
http://www.ncbi.nlm.nih.gov/pubmed/27325353?dopt=Abstract
Matteini AM, Tanaka T, Karasik D, et al. GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell. 2016;15(5):792-800. doi:10.1111/acel.12468.
http://www.ncbi.nlm.nih.gov/pubmed/27325353?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Broer L, Buchman AS, Deelen J, et al. GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy. J Gerontol A Biol Sci Med Sci. 2015;70(1):110-8. doi:10.1093/gerona/glu166.
http://www.ncbi.nlm.nih.gov/pubmed/25199915?dopt=Abstract

H

Koijen RSJ, Van Nieuwerburgh S, Yogo M. Health and Mortality Delta: Assessing the Welfare Cost of Household Insurance Choice. Journal of Finance. 2016;71(2):957-1010. doi:10.1111/jofi.12273.
Gillen M, Yang H, Kim H. Health Literacy and Difference in Current Wealth Among Middle-Aged and Older Adults. Journal of Family and Economic Issues. 2020;41(2):281–299. doi:10.1007/s10834-019-09648-w.
Kim H, Yoon W, Zurlo KA. Health Shocks, Out-of-Pocket Medical Expenses and Consumer Debt Among Middle-Aged and Older Americans. The Journal of Consumer Affairs. 2012;46(3):357-380. doi:10.1111/j.1745-6606.2012.01236.x.
Graham E, Weston SJ, Turiano NA, et al. Is Healthy Neuroticism Associated with Health Behaviors? A Coordinated Integrative Data Analysis. Collabra: Psychology. 2020;6(1). doi:http://doi.org/10.1525/collabra.266.
Gharzeddine R, McCarthy MM, Yu G, Dickson VV. Heart Failure as an Independent Predictor of Insomnia Symptoms. Circulation. 2021;144(Suppl _1):A12801. doi:10.1161/circ.144.suppl_1.12801.
Yashin A, Fang F, Kovtun M, et al. Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Experimental Gerontology. 2018;107:148-160. doi:10.1016/j.exger.2017.10.020.
Yashin A, Fang F, Kovtun M, et al. Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Experimental Gerontology. 2018;107:148-160. doi:10.1016/j.exger.2017.10.020.