Publications

References citing the T2DKP

References for datasets incorporated into the T2DKP


References citing the T2DKP

This table lists papers that cite the T2D Knowledge Portal. If you have cited the Portal and your paper is not on the list, please contact us to have it added.

Reference (reverse chronological order) Citation type
Chen M, et al.
CTNNB1/ β -catenin Dysfunction Contributes to Adiposity by Regulating the Cross-Talk of Mature Adipocytes and Preadipocytes.
Sci Adv. 2020 Jan; 6(2): eaax9605.
PMID:31934629
Used portal for replication or analysis
Kumar P, Traurig M, Baier LJ.
Identification and functional validation of genetic variants in potential miRNA target sites of established BMI genes.
Int J Obes (Lond). 2019 Nov 19.
PMID:31745258
Used portal for replication or analysis
Watanabe K, et al.
A novel upstream transcription factor 1 target gene N4bp2l1 that regulates adipogenesis.
Biochem Biophys Rep. 2019 Aug 6;20:100676.
PMID:31440585
Used portal for replication or analysis
Prasad G, et al.
Genome-Wide Association Study of Metabolic Syndrome Reveals Primary Genetic Variants at CETP Locus in Indians.
Biomolecules. 2019 Jul 30;9(8).
PMID:31366177
Used portal for replication or analysis
Liu CT, et al.
Genome-wide Association Study of Change in Fasting Glucose over time in 13,807 non-diabetic European Ancestry Individuals.
Sci Rep. 2019 Jul 1;9(1):9439.
PMID:31263163
Referencing data deposited in portal
Flannick J, Mercader JM, Fuchsberger C, Udler MS, Mahajan A, et al.
Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls.
Nature. 2019 Jun;570(7759):71-76.
PMID:31118516
Referencing data deposited in portal
Lotta LA, et al.
Human Gain-of-Function MC4R Variants Show Signaling Bias and Protect against Obesity.
Cell. 2019 Apr 18;177(3):597-607.e9.
PMID:31002796
Used portal for replication or analysis
Dharmaraj T, et al.
Rare BANF1 Alleles and Relatively Frequent EMD Alleles Including 'Healthy Lipid' Emerin p.D149H in the ExAC Cohort.
Front Cell Dev Biol. 2019 Apr 5;7:48.
PMID:31024910
Used portal for replication or analysis
Berumen J, et al.
Influence of obesity, parental history of diabetes, and genes in type 2 diabetes: A case-control study.
Sci Rep. 2019 Feb 26;9(1):2748.
PMID:30808941
Used portal for replication or analysis
Abu-Remaileh M, et al.
WWOX somatic ablation in skeletal muscles alters glucose metabolism.
Mol Metab. 2019 Jan 31. pii: S2212-8778(18)31195-5.
PMID:30755385
Used portal for replication or analysis
Karanth S, Schlegel A.
The Monocarboxylate Transporter SLC16A6 Regulates Adult Length in Zebrafish and Is Associated With Height in Humans.
Front Physiol. 2019 Jan 14;9:1936.
PMID:30692937
Referencing data deposited in portal
Fernández-Lopez JC, et al.
Population and breast cancer patients' analysis reveals the diversity of genomic variation of the BRCA genes in the Mexican population.
Hum Genomics. 2019 Jan 10;13(1):3.
PMID:30630528
Referencing data deposited in portal
Niazi RK, et al.
Increased frequency of rare missense PPP1R3B variants among Danish patients with type 2 diabetes.
PLoS One. 2019 Jan 10;14(1):e0210114.
PMID:30629617
Used portal for replication or analysis
Tiwari P, et al.
Systems Genomics of Thigh Adipose Tissue From Asian Indian Type-2 Diabetics Revealed Distinct Protein Interaction Hubs.
Front Genet. 2019 Jan 8;9:679.
PMID:30671081
Referencing data deposited in portal
Day F, et al.
Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria.
PLoS Genet. 2018 Dec 19;14(12):e1007813.
PMID:30566500
Used portal for replication or analysis
Gerst F, et al.
The Expression of Aldolase B in Islets Is Negatively Associated With Insulin Secretion in Humans.
J Clin Endocrinol Metab. 2018 Dec 1;103(12):4373-4383.
PMID:30202879
Used portal for replication or analysis
Gerlini R, et al.
Glucose tolerance and insulin sensitivity define adipocyte transcriptional programs in human obesity.
Mol Metab. 2018 Dec;18:42-50.
PMID:30309776
Used portal for replication or analysis
Mahajan A, et al.
Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.
Nat Genet. 2018 Nov;50(11):1505-1513.
PMID:30297969
Referencing data deposited in portal
Fitipaldi H, McCarthy MI, Florez JC, Franks PW.
A Global Overview of Precision Medicine in Type 2 Diabetes.
Diabetes. 2018 Oct; 67(10): 1911–1922.
PMID:30237159
Referencing data deposited in portal
Laver TW, et al.
PLIN1 haploinsufficiency is not associated with lipodystrophy.
J Clin Endocrinol Metab. 2018 Sep 1;103(9):3225-3230.
PMID:30020498
Used portal for replication or analysis
Chang T-J, et al.
Genetic variation of SORBS1 gene is associated with glucose homeostasis and age at onset of diabetes: A SAPPHIRe Cohort Study.
Sci Rep. 2018; 8: 10574.
PMID:30002559
Used portal for replication or analysis
Timmons JA, et al.
A coding and non-coding transcriptomic perspective on the genomics of human metabolic disease.
Nucleic Acids Res. 2018 Sep 6; 46(15): 7772–7792.
PMID:29986096
Used portal for replication or analysis
Wittemans LBL, Lotta LA, Langenberg C.
Prioritising Risk Factors for Type 2 Diabetes: Causal Inference through Genetic Approaches.
Curr Diab Rep. 2018; 18(7): 40.
PMID:29779155
Review
Jung S.
Implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes.
Exp Mol Med. 2018 Apr; 50(4): 43.
PMID:29674722
Review
Pavić T, et al.
Maturity onset diabetes of the young due to HNF1A variants in Croatia.
Biochem Med (Zagreb). 2018 Jun 15;28(2):020703.
PMID:29666556
Used portal for replication or analysis
Juliusdottir T, et al.
Toppar: an interactive browser for viewing association study results.
Bioinformatics. 2018 Jun 1; 34(11): 1922–1924.
PMID:29325066
Software proposed for the T2DKP
Mahajan A, et al.
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.
Nat Genet. 2018 Apr;50(4):559-571.
PMID:29632382
Referencing data deposited in portal
Liang X, et al.
Organic cation transporter 1 (OCT1) modulates multiple cardiometabolic traits through effects on hepatic thiamine content.
PLoS Biol. 2018 Apr; 16(4): e2002907.
PMID:29659562
Used portal for replication or analysis
Frayling TM, et al.
A Common Allele in FGF21 Associated with Sugar Intake Is Associated with Body Shape, Lower Total Body-Fat Percentage, and Higher Blood Pressure.
Cell Rep. 2018 Apr 10;23(2):327-336.
PMID:29641994
Used portal for replication or analysis
Spracklen CN, et al.
Identification and functional analysis of glycemic trait loci in the China Health and Nutrition Survey.
PLoS Genet. 2018 Apr; 14(4): e1007275.
PMID:29621232
Used portal for replication or analysis
Grarup N, et al.
Loss-of-function variants in ADCY3 increase risk of obesity and type 2 diabetes.
Nat Genet. 2018 Feb; 50(2): 172–174.
PMID:29311636
Used portal for replication or analysis
Nair AK, et al.
Functional and association analysis of an Amerindian-derived population-specific p.(Thr280Met) variant in RBPJL, a component of the PTF1 complex.
Eur J Hum Genet. 2018 Feb; 26(2): 238–246.
PMID:29302047
Used portal for replication or analysis
Bonàs-Guarch S, et al.
Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes.
Nat Commun. 2018 Jan 22;9(1):321.
PMID:29358691
Used portal for replication or analysis
Artomov M, et al.
Mosaic mutations in blood DNA sequence are associated with solid tumor cancers.
NPJ Genom Med. 2017 Jul 6;2:22.
PMID:29263833
Referencing data deposited in portal
Flannick J, et al.
Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
Sci Data. 2017; 4: 170179.
PMID:29257133
Referencing data deposited in portal
Patel KA, et al.
Heterozygous RFX6 protein truncating variants are associated with MODY with reduced penetrance.
Nat Commun. 2017; 8: 888.
PMID:29026101
Used portal for replication or analysis
Benner C, et al.
Prospects of Fine-Mapping Trait-Associated Genomic Regions by Using Summary Statistics from Genome-wide Association Studies.
Am J Hum Genet. 2017 Oct 5; 101(4): 539–551.
PMID:28942963
Software proposed for the T2DKP
Belongie KJ, et al.
Identification of novel biomarkers to monitor β-cell function and enable early detection of type 2 diabetes risk.
PLoS One. 2017 Aug 28;12(8):e0182932.
PMID:28846711
Used portal for replication or analysis
Jäger S, et al.
Genetic variants including markers from the exome chip and metabolite traits of type 2 diabetes.
Sci Rep. 2017 Jul 20;7(1):6037.
PMID:28729637
Used portal for replication or analysis
Rusu V, et al.
Type 2 Diabetes Variants Disrupt Function of SLC16A11 through Two Distinct Mechanisms.
Cell. 2017 Jun 29;170(1):199-212.e20.
PMID:28666119
Referencing data deposited in portal
Florwick A, et al.
LMNA Sequences of 60,706 Unrelated Individuals Reveal 132 Novel Missense Variants in A-Type Lamins and Suggest a Link between Variant p.G602S and Type 2 Diabetes.
Front Genet. 2017 Jun 15;8:79.
PMID:28663758
Used portal for replication or analysis
Florez JC.
Mining the Genome for Therapeutic Targets.
Diabetes. 2017 Jul;66(7):1770-1778.
PMID:28603140
Review
Bomba L, Walter K, Soranzo N.
The impact of rare and low-frequency genetic variants in common disease.
Genome Biol. 2017 Apr 27;18(1):77.
PMID:28449691
Review
Xu H, et al.
Familial Hypercholesterolemia and Type 2 Diabetes in the Old Order Amish.
Diabetes. 2017 Jul;66(7):2054-2058.
PMID:28428224
Referencing data deposited in portal
Spracklen CN, et al.
Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels.
Hum Mol Genet. 2017 May 1;26(9):1770-1784.
PMID:28334899
Used portal for replication or analysis
Laakso M., et al.
The Metabolic Syndrome in Men study: a resource for studies of metabolic and cardiovascular diseases.
J Lipid Res. 2017 Mar; 58(3): 481–493.
PMID:28119442
Referencing data deposited in portal
Najmi LA, et al.
Functional Investigations of HNF1A Identify Rare Variants as Risk Factors for Type 2 Diabetes in the General Population.
Diabetes. 2017 Feb;66(2):335-346.
PMID:27899486
Used portal for replication or analysis
Ma RC, Cooper ME.
Genetics of Diabetic Kidney Disease—From the Worst of Nightmares to the Light of Dawn?
J Am Soc Nephrol. 2017 Feb; 28(2): 389–393.
PMID:27881608
Review
Rutten JW, et al.
Archetypal NOTCH3 mutations frequent in public exome: implications for CADASIL.
Ann Clin Transl Neurol. 2016 Sep 28;3(11):844-853.
PMID:27844030
Used portal for replication or analysis
Lotta LA, et al.
Association Between Low-Density Lipoprotein Cholesterol-Lowering Genetic Variants and Risk of Type 2 Diabetes: A Meta-analysis.
JAMA. 2016 Oct 4;316(13):1383-1391.
PMID:27701660
Used portal for replication or analysis
Fuchsberger C, Flannick J, et al.
The genetic architecture of type 2 diabetes.
Nature. 2016 Aug 4;536(7614):41-47.
PMID:27398621
Referencing data deposited in portal
Chami N, et al.
Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits.
Am J Hum Genet. 2016 Jul 7;99(1):8-21.
PMID:27346685
Used portal for replication or analysis
Fradkin JE, et al.
NIH Precision Medicine Initiative: Implications for Diabetes Research.
Diabetes Care. 2016 Jul;39(7):1080-4.
PMID:27289128
Review
Hanis CL, et al.
Beyond type 2 diabetes, obesity and hypertension: an axis including sleep apnea, left ventricular hypertrophy, endothelial dysfunction, and aortic stiffness among Mexican Americans in Starr County, Texas.
Cardiovasc Diabetol. 2016; 15: 86.
PMID:27266869
Referencing data deposited in portal
Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia Investigators, et al.
Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease.
N Engl J Med. 2016 Mar 24;374(12):1134-44. PMID: 26934567
Used portal for replication or analysis
Jenkinson CP, et al.
Transcriptomics in type 2 diabetes: Bridging the gap between genotype and phenotype.
Genom Data. 2015 Dec 17;8:25-36.
PMID:27114903
Used portal for replication or analysis

References for datasets incorporated into the T2DKP

This table lists papers describing datasets that are incorporated into the T2D Knowledge Portal. For more information on the datasets, please visit the Datasets page.

Reference (reverse chronological order) Dataset name
Shah S, Henry Aet al.
Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure.
Nat Commun. 2020 Jan 9;11(1):163.
PMID:31919418
HERMES Heart Failure GWAS
Sarnowski C, et al.
Impact of Rare and Common Genetic Variants on Diabetes Diagnosis by Hemoglobin A1c in Multi-Ancestry Cohorts: The Trans-Omics for Precision Medicine Program.
Am J Hum Genet. 2019 Oct 3;105(4):706-718.
PMID:31564435
TOPMed HbA1c Meta-analysis GWAS
Salem RM, et al.
Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen.
J Am Soc Nephrol. 2019 Oct;30(10):2000-2016.
PMID:31537649
JDRF Diabetic Nephropathy Collaborative Research Initiative GWAS
Teumer A, et al.
Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.
Nat Commun. 2019 Sep 11;10(1):4130.
PMID:31511532
CKDGen GWAS - stratified UACR associations
CKDGen GWAS - microalbuminuria associations
Locke AE, et al.
Exome sequencing of Finnish isolates enhances rare-variant association power.
Nature. 2019 Aug;572(7769):323-328.
PMID:31367044
FinnMetSeq exome sequence analysis
FinnMetSeq exome sequence analysis: WHR adj BMI associations, females
Flannick J, Mercader JM, Fuchsberger C, Udler MS, Mahajan A, et al.
Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls.
Nature. 2019 Jun;570(7759):71-76.
PMID:31118516
AMP T2D-GENES exome sequence analysis
Wuttke M, et al.
A catalog of genetic loci associated with kidney function from analyses of a million individuals.
Nat Genet. 2019 Jun;51(6):957-972.
PMID:31152163
CKDGen GWAS
Justice AE, et al.
Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution.
Nat Genet. 2019 Mar;51(3):452-469.
PMID:30778226
GIANT 2018 Body Fat Distribution exome chip analysis
Morris JA, et al.
An atlas of genetic influences on osteoporosis in humans and mice.
Nat Genet. 2019 Feb;51(2):258-266.
PMID:30598549
GEFOS eBMD and fracture GWAS
Jiang G, et al.
Progression of diabetic kidney disease and trajectory of kidney function decline in Chinese patients with Type 2 diabetes.
Kidney Int. 2019 Jan;95(1):178-187.
PMID:30415941
Hong Kong Diabetes Register GWAS
Morris AP, et al.
Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies.
Nat Commun. 2019 Jan 3;10(1):29.
PMID:30604766
COGENT-Kidney Consortium eGFR GWAS
Mahajan A, et al.
Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.
Nat Genet. 2018 Nov;50(11):1505-1513.
PMID:30297969
DIAMANTE (European) T2D GWAS
UK Biobank T2D GWAS (DIAMANTE-Europeans Sept 2018)
Ligthart S, et al.
Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.
Am J Hum Genet. 2018 Nov 1;103(5):691-706.
PMID:30388399
Chronic Inflammation GWAS
Yengo L, et al.
Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry.
Hum Mol Genet. 2018 Oct 15;27(20):3641-3649.
PMID:30124842
GIANT UK Biobank GWAS
van Zuydam NR, et al.
A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes.
Diabetes. 2018 Jul;67(7):1414-1427.
PMID:29703844
SUMMIT Diabetic Kidney Disease GWAS: subjects with T1D or T2D
SUMMIT Diabetic Kidney Disease GWAS: subjects with T1D or T2D, ESRD vs. controls
Mahajan A, et al.
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.
Nat Genet. 2018 Apr;50(4):559-571.
PMID:29632382
ExTexT2D exome chip analysis
Kanai M, et al.
Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases.
Nat Genet. 2018 Mar;50(3):390-400.
PMID:29403010
BioBank Japan GWAS
BioBank Japan GWAS, females
BioBank Japan GWAS, males
Bonàs-Guarch S, et al.
Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes.
Nat Commun. 2018 Jan 22;9(1):321.
PMID:29358691
70KforT2D GWAS
Turcot V, et al.
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.
Nat Genet. 2018 Jan;50(1):26-41.
PMID:29273807
GIANT 2018 BMI, Height exome chip analysis
Flannick J, et al.
Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
Sci Data. 2017 Dec 19;4:170179.
PMID:29257133
GoT2D exome chip analysis
AMP T2D-GENES exome sequence analysis
GoT2D WGS + replication
13K exome sequence analysis
GoT2D WGS
Liu DJ, et al.
Exome-wide association study of plasma lipids in >300,000 individuals.
Nat Genet. 2017 Dec;49(12):1758-1766.
PMID:29083408
GLGC exome chip analysis
Scott RA, et al.
An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans.
Diabetes. 2017 Nov;66(11):2888-2902.
PMID:28566273
DIAGRAM 1000G GWAS
Zhao W, et al.
Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease.
Nat Genet. 2017 Oct;49(10):1450-1457.
PMID:28869590
Joint T2D-CHD GWAS
Nelson CP, et al.
Association analyses based on false discovery rate implicate new loci for coronary artery disease.
Nat Genet. 2017 Sep;49(9):1385-1391.
PMID:28714975
UK Biobank CardioMetabolic Consortium GWAS
Wheeler E, et al.
Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.
PLoS Med. 2017 Sep 12;14(9):e1002383.
PMID:28898252
MAGIC HbA1c GWAS: African Americans
MAGIC HbA1c GWAS: East Asians
MAGIC HbA1c GWAS: Europeans
MAGIC HbA1c GWAS: South Asians
Wood AR, et al.
A Genome-Wide Association Study of IVGTT-Based Measures of First-Phase Insulin Secretion Refines the Underlying Physiology of Type 2 Diabetes Variants.
Diabetes. 2017 Aug;66(8):2296-2309.
PMID:28490609
IVGTT-Based Insulin Secretion GWAS
Graff M, et al.
Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
PLoS Genet. 2017 Apr 27;13(4):e1006528.
PMID:28448500
GIANT GWAS - stratified by physical activity
Gorski M, et al.
1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.
Sci Rep. 2017 Apr 28;7:45040.
PMID:28452372
CKDGen 1000G GWAS - eGFRcys associations
Sandholm N, et al.
The Genetic Landscape of Renal Complications in Type 1 Diabetes.
J Am Soc Nephrol. 2017 Feb;28(2):557-574.
PMID:27647854
SUMMIT Diabetic Kidney Disease GWAS: subjects with T1D or T2D
SUMMIT Diabetic Kidney Disease GWAS: subjects with T1D or T2D, ESRD vs. controls
Chu AY, et al.
Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiation.
Nat Genet. 2017 Jan;49(1):125-130.
PMID:27918534
VATGen GWAS
Walford GA, et al.
Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci.le
Diabetes. 2016 Oct;65(10):3200-11.
PMID:27416945
MAGIC GWAS
Lek M, et al.
Analysis of protein-coding genetic variation in 60,706 humans.
Nature. 2016 Aug 18;536(7616):285-91.
PMID:27535533
gnomAD exomes
gnomAD whole genomes
Fuchsberger C, et al.
The genetic architecture of type 2 diabetes.
Nature. 2016 Aug 4;536(7614):41-47.
PMID:27398621
GoT2D exome chip analysis
AMP T2D-GENES exome sequence analysis
GoT2D WGS + replication
13K exome sequence analysis
GoT2D WGS
Liu CT, et al.
Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin.
Am J Hum Genet. 2016 Jul 7;99(1):56-75.
PMID:27321945
AAGILE GWAS
Kilpeläinen TO, et al.
Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels.
Nat Commun. 2016 Feb 1;7:10494.
PMID:26833098
Leptin GWAS
Lu Y, et al.
New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk.
Nat Commun. 2016 Feb 1;7:10495.
PMID:26833246
Body Fat Percentage GWAS
Gaulton KJ, et al.
Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci.
Nat Genet. 2015 Dec;47(12):1415-25.
PMID:26551672
DIAGRAM Transethnic meta-analysis
1000 Genomes Project Consortium, et al.
A global reference for human genetic variation.
Nature. 2015 Oct 1;526(7571):68-74.
PMID:26432245
1000 Genomes
Knowles JW, et al.
Identification and validation of N-acetyltransferase 2 as an insulin sensitivity gene.
J Clin Invest. 2015 Apr;125(4):1739-51.
PMID:25798622
GENESIS GWAS
Shungin D,et al.
New genetic loci link adipose and insulin biology to body fat distribution.
Nature. 2015 Feb 12;518(7538):187-196.
PMID:25673412
GIANT Anthropometric 2015 Waist GWAS
Majithia AR, et al.
Rare variants in PPARG with decreased activity in adipocyte differentiation are associated with increased risk of type 2 diabetes.
Proc Natl Acad Sci U S A. 2014 Sep 9;111(36):13127-32.
PMID:25157153
GWAS SIGMA
SIGMA exome chip analysis
Ng MC, et al.
Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.
PLoS Genet. 2014 Aug 7;10(8):e1004517.
PMID:25102180
MEDIA T2D GWAS
SIGMA Type 2 Diabetes Consortium, et al.
Association of a low-frequency variant in HNF1A with type 2 diabetes in a Latino population.
JAMA. 2014 Jun 11;311(22):2305-14.
PMID:24915262
AMP T2D-GENES exome sequence analysis
GWAS SIGMA
SIGMA exome chip analysis
Prokopenko I, et al.
A central role for GRB10 in regulation of islet function in man.
PLoS Genet. 2014 Apr 3;10(4):e1004235.
PMID:24699409
MAGIC GWAS
SIGMA Type 2 Diabetes Consortium, et al.
Sequence variants in SLC16A11 are a common risk factor for type 2 diabetes in Mexico.
Nature. 2014 Feb 6;506(7486):97-101.
PMID:24390345
GWAS SIGMA
SIGMA exome chip analysis
Lohmueller KE, et al.
Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetes.
Am J Hum Genet. 2013 Dec 5;93(6):1072-86.
PMID:24290377
AMP T2D-GENES exome sequence analysis
Willer CJ, et al.
Discovery and refinement of loci associated with lipid levels.
Nat Genet. 2013 Nov;45(11):1274-1283.
PMID:24097068
GLGC GWAS
Chen P, et al.
A study assessing the association of glycated hemoglobin A1C (HbA1C) associated variants with HbA1C, chronic kidney disease and diabetic retinopathy in populations of Asian ancestry.
PLoS One. 2013 Nov 7;8(11):e79767.
PMID:24244560
Singapore Chinese Eye Study GWAS
den Hoed M, et al.
Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders.
Nat Genet. 2013 Jun;45(6):621-31.
PMID:23583979
Heart Rate GWAS
Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium1, et al.
A mega-analysis of genome-wide association studies for major depressive disorder.
Mol Psychiatry. 2013 Apr;18(4):497-511.
PMID:22472876
PGC GWAS
Köttgen A, et al.
Genome-wide association analyses identify 18 new loci associated with serum urate concentrations.
Nat Genet. 2013 Feb;45(2):145-54.
PMID:23263486
Global Urate Genetics Consortium GWAS
Yang J, et al.
FTO genotype is associated with phenotypic variability of body mass index.
Nature. 2012 Oct 11;490(7419):267-72.
PMID:22982992
GIANT GWAS
Scott RA, et al.
Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.
Nat Genet. 2012 Sep;44(9):991-1005.
PMID:22885924
MAGIC Metabochip GWAS
Morris AP, et al.
Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes.
Nat Genet. 2012 Sep;44(9):981-90.
PMID:22885922
DIAGRAM Transethnic meta-analysis
Bradfield JP, et al.
A genome-wide association meta-analysis identifies new childhood obesity loci.
Nat Genet. 2012 May;44(5):526-31.
PMID:22484627
Early Growth Genetics Consortium GWAS
Manning AK, et al.
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.
Nat Genet. 2012 May 13;44(6):659-69.
PMID:22581228
MAGIC Metabochip GWAS
MAGIC GWAS
Dastani Z, et al.
Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.
PLoS Genet. 2012;8(3):e1002607.
PMID:22479202
ADIPOGen GWAS
Cho YS, et al.
Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians.
Nat Genet. 2011 Dec 11;44(1):67-72.
PMID:22158537
AGEN GWAS
Strawbridge RJ, et al.
Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes.
Diabetes. 2011 Oct;60(10):2624-34.
PMID:21873549
MAGIC GWAS
Chambers JC, et al.
Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma.
Nat Genet. 2011 Oct 16;43(11):1131-8.
PMID:22001757
Liver Function GWAS
Psychiatric GWAS Consortium Bipolar Disorder Working Group.
Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4.
Nat Genet. 2011 Sep 18;43(10):977-83.
PMID:21926972
PGC GWAS
Sim X, et al.
Transferability of type 2 diabetes implicated loci in multi-ethnic cohorts from Southeast Asia.
PLoS Genet. 2011 Apr;7(4):e1001363.
PMID:21490949
Diabetic Cohort-Singapore Prospective Study-SEED-Living Biobank GWAS
Diabetic Cohort-Singapore Prospective Study-SEED GWAS
Singapore Prospective Study-Living Biobank GWAS
Singapore Prospective Study Program GWAS
Soranzo N, et al.
Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways.
Diabetes. 2010 Dec;59(12):3229-39.
PMID:20858683
MAGIC GWAS
Lango Allen H, et al.
Hundreds of variants clustered in genomic loci and biological pathways affect human height.
Nature. 2010 Oct 14;467(7317):832-8.
PMID:20881960
GIANT GWAS
Teslovich TM, et al.
Biological, clinical and population relevance of 95 loci for blood lipids.
Nature. 2010 Aug 5;466(7307):707-13.
PMID:20686565
GLGC GWAS
Köttgen A, et al.
New loci associated with kidney function and chronic kidney disease.
Nat Genet. 2010 May;42(5):376-84.
PMID:20383146
CKDGen 1000G GWAS - eGFRcys associations