HRS Bibliography

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2021

Bakulski KM, Vadari HS, Faul JD, et al. Cumulative Genetic Risk and Are Independently Associated With Dementia Status in a Multiethnic, Population-Based Cohort. Neurology Genetics. 2021;7(2):e576. doi:10.1212/NXG.0000000000000576.
Ware EB, Faul JD. Genomic data measures and methods: a primer for social scientists. In: Ferraro KF, Carr D, eds. Handbook of Aging and the Social Sciences (Ninth Edition)Handbooks of Aging. Handbook of Aging and the Social Sciences (Ninth Edition)Handbooks of Aging. Academic Press; 2021:49-62. doi:https://doi.org/10.1016/B978-0-12-815970-5.00004-8.
Gard AM, Ware EB, Hyde LW, Schmitz LL, Faul JD, Mitchell CM. Phenotypic and genetic markers of psychopathology in a population-based sample of older adults. Translational Psychiatry. 2021;11(1):239. doi:10.1038/s41398-021-01354-2.
Ware EB, Morataya C, Fu M, Bakulski KM. Type 2 Diabetes and Cognitive Status in the Health and Retirement Study: A Mendelian Randomization Approach. Frontiers in Genetics. 2021;12:634767. doi:10.3389/fgene.2021.634767.

2019

Schmitz LL, Gard AM, Ware EB. Examining sex differences in pleiotropic effects for depression and smoking using polygenic and gene-region aggregation techniques. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics. 2019. doi:10.1002/ajmg.b.32748.
http://www.ncbi.nlm.nih.gov/pubmed/31219244?dopt=Abstract
Schmitz LL, Gard AM, Ware EB. Examining sex differences in pleiotropic effects for depression and smoking using polygenic and gene-region aggregation techniques. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. 2019;180(6):448 - 468. doi:10.1002/ajmg.v180.610.1002/ajmg.b.32748.
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract

2018

Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract

2017

Ware EB, Schmitz LL, Faul JD. HRS Polygenic Scores: 2006-2010 Genetic Data. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (599.95 KB)
Zhao W, Ware EB, He Z, Kardia SLR, Faul JD. Interaction between Social/Psychosocial Factors and Genetic Variants on Body Mass Index: A Gene-Environment Interaction Analysis in a Longitudinal Setting. International Journal of Environmental Research and Public Health. 2017;14(10):1153. doi:10.3390/ijerph14101153.

2016

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