AFGen exome sequence analysis
Publications
Whole Exome Sequencing in Atrial Fibrillation.
Lubitz SA, et al.
PLoS Genet. 2016 Sep 2;12(9):e1006284. doi: 10.1371/journal.pgen.1006284
Whole Exome Sequencing in Atrial Fibrillation.
Lubitz SA, et al.
PLoS Genet. 2016 Sep 2;12(9):e1006284. doi: 10.1371/journal.pgen.1006284
Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Program
Sarnowski, C et al.
Am J Hum Genet. 2019 Oct 3;105(4):706-718. doi: 10.1016/j.ajhg.2019.08.010
Summary statistics are available for download at the CARDIoGRAMplusC4D Consortium website.
Association analyses based on false discovery rate implicate new loci for coronary artery disease.
Nelson, CP, et al.
Nat Genet. 2017 Sep;49(9):1385-1391. doi: 10.1038/ng.3913
These datasets draw upon overlapping sample sets: CKDGen GWAS; CKDGen GWAS - stratified UACR associations; and CKDGen GWAS - stratified serum creatinine associations.
1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.
Gorski M, et al.
Sci Rep. 2017 Apr 28;7:45040. doi: 10.1038/srep45040
All CKDGen GWAS datasets draw upon overlapping sample sets.
Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.
Teumer A, et al.
Nat Commun. 2019 Sep 11;10(1):4130. doi: 10.1038/s41467-019-11576-0
All samples in this dataset are included in the "DIAMANTE (European) T2D GWAS" dataset.
Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
Flannick J, Fuchsberger C, Mahajan A, et al.
Sci Data. 2017 Dec 19;4:170179. doi: 10.1038/sdata.2017.179
Most samples in this dataset are included in the "DIAMANTE (European) T2D GWAS" dataset.
Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
Flannick J, Fuchsberger C, Mahajan A, et al.
Sci Data. 2017 Dec 19;4:170179. doi: 10.1038/sdata.2017.179
An atlas of genetic influences on osteoporosis in humans and mice.
Morris JA, et al.
Nat Genet. 2019 Feb;51(2):258-266. doi: 10.1038/s41588-018-0302-x
Summary statistics are available for download from the GWAS Catalog.
A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes.
van Zuydam NR, et al.
Diabetes. 2018 Jul;67(7):1414-1427. doi: 10.2337/db17-0914