HRS Bibliography

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2021

Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.

2019

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.

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

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.
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
Liang J, Le TH, Edwards DRVelez, et al. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations. PLoS Genetics. 2017;13(5):e1006728. doi:10.1371/journal.pgen.1006728.

2016

Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Barban N, Jansen R, de Vlaming R, et al. Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat Genet. 2016;48(12):1462-1472. doi:10.1038/ng.3698.
http://www.ncbi.nlm.nih.gov/pubmed/27798627?dopt=Abstract
Demirkan A, Lahti J, Direk N, et al. Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies. Psychol Med. 2016;46(8):1613-23. doi:10.1017/S0033291715002081.
http://www.ncbi.nlm.nih.gov/pubmed/26997408?dopt=Abstract

2015

Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
Day FR, Ruth KS, Thompson DJ, et al. Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. Nat Genet. 2015;47(11):1294-303. doi:10.1038/ng.3412.
http://www.ncbi.nlm.nih.gov/pubmed/26414677?dopt=Abstract

2014

Bihlmeyer NA, Brody JA, Smith AVernon, et al. Genetic diversity is a predictor of mortality in humans. BMC Genet. 2014;15:159. doi:10.1186/s12863-014-0159-7.
http://www.ncbi.nlm.nih.gov/pubmed/25543667?dopt=Abstract

2013

Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract