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Genetic Epidemiology|April 28, 2012
Smoking and genetic risk variation across populations of European, Asian, and African American ancestry--a meta-analysis of chromosome 15q25Li-Shiun Chen, Nancy L Saccone, Robert C Culverhouse, et al.
Plos Genetics|May 12, 2018
Correction: Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populationsJingjing Liang, Thu H Le, Digna R Velez Edwards, et al.
BMC Genomics|February 20, 2022
Rare coding variants in RCN3 are associated with blood pressureKaren Y He, Tanika N Kelly, Heming Wang, et al.
American Journal of Human Genetics|October 6, 2023
Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing studyYuxuan Wang, Margaret Sunitha Selvaraj, Xihao Li, et al.
Plos Genetics|May 13, 2017
Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populationsJingjing Liang, Thu H Le, Digna R Velez Edwards, et al.
Translational Psychiatry|July 27, 2012
Genome-wide meta-analyses of smoking behaviors in African AmericansS P David, A Hamidovic, G K Chen, et al.
Medrxiv : the Preprint Server for Health Sciences|July 10, 2023
Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing StudyYuxuan Wang, Margaret Sunitha Selvaraj, Xihao Li, et al.
Molecular Psychiatry|July 11, 2018
Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortiumJordi Merino, Hassan S Dashti, Sherly X Li, et al.
American Journal of Human Genetics|June 24, 2014
Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP ConsortiaJeannette Simino, Gang Shi, Joshua C Bis, et al.
American Journal of Human Genetics|August 27, 2013
Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populationsNora Franceschini, Ervin Fox, Zhaogong Zhang, et al.
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