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AFGen genetic interaction GWAS

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Publications

Genetic Interactions with Age, Sex, Body Mass Index, and Hypertension in Relation to Atrial Fibrillation: The AFGen Consortium.
Weng LC, et al.
Sci Rep. 2017 Sep 12;7(1):11303. doi: 10.1038/s41598-017-09396-7

2018 AF HRC GWAS

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Data in this set may be accessed in a researcher workspace via the Data Discovery interface of the American Heart Association Institute for Precision Cardiovascular Medicine. 


Go to the Data Discovery interface

 

AFGen exome chip analysis

  • Read more about AFGen exome chip analysis
Data in this set may be accessed in a researcher workspace via the Data Discovery interface of the American Heart Association Institute for Precision Cardiovascular Medicine. 


Go to the Data Discovery interface

 

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AFGen exome sequence analysis

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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

TOPMed HbA1c Meta-analysis WGS

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Publications

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

UK Biobank CardioMetabolic Consortium CHD GWAS

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Summary statistics are available for download at the CARDIoGRAMplusC4D Consortium website.

Publications

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

CKDGen 1000G GWAS

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Dataset

These datasets draw upon overlapping sample sets: CKDGen GWAS; CKDGen GWAS - stratified UACR associations; and CKDGen GWAS - stratified serum creatinine associations.

Download summary statistics

Publications

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

CKDGen GWAS - microalbuminuria associations

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Dataset

All CKDGen GWAS datasets draw upon overlapping sample sets.

Download summary statistics

Publications

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

Joint T2D-CHD GWAS

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Dataset

Download summary statistics for T2D meta-analysis

Download summary statistics for bivariate analysis

GoT2D WGS + replication

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Dataset

All samples in this dataset are included in the "DIAMANTE (European) T2D GWAS" dataset.

Publications

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

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