Nilsson PM

Elevated circulating follistatin associates with an increased risk of type 2 diabetes.

Wu C, Borné Y, Gao R, ..., Groop L, De Marinis Y

Nat Commun 12 (1) 6486 [2021-11-10; online 2021-11-10]

Affinity Proteomics Stockholm [Collaborative] Affinity Proteomics Uppsala [Service]

Proteomic and Metabolomic Characterization of Metabolically Healthy Obesity: A Descriptive Study from a Swedish Cohort.

Korduner J, Nilsson PM, Melander O, ..., Magnusson M, Ottosson F

J Obes 2021 (-) 6616983 [2021-10-06; online 2021-10-06]

Affinity Proteomics Uppsala [Service]

Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals.

Folkersen L, Gustafsson S, Wang Q, ..., Ingelsson E, Mälarstig A

Nat Metab 2 (10) 1135-1148 [2020-10-00; online 2020-10-16]

Affinity Proteomics Uppsala [Service] NGI Uppsala (SNP&SEQ Technology Platform) [Service] National Genomics Infrastructure [Service]

Plasma kidney injury molecule-1 (p-KIM-1) levels and deterioration of kidney function over 16 years.

Schulz CA, Engström G, Nilsson J, ..., Melander O, Orho-Melander M

Nephrol Dial Transplant 35 (2) 265-273 [2020-02-01; online 2019-01-11]

Affinity Proteomics Uppsala [Service] Clinical Biomarkers [Service] PLA and Single Cell Proteomics [Service]

Circulating HER2/ErbB2 Levels Are Associated With Increased Incidence of Diabetes: A Population-Based Cohort Study.

Muhammad IF, Borné Y, Bao X, ..., Nilsson J, Engström G

Diabetes Care 42 (8) 1582-1588 [2019-08-00; online 2019-06-14]

Affinity Proteomics Uppsala [Service] Clinical Biomarkers [Service] PLA and Single Cell Proteomics [Service]

Novel genetic loci associated with long-term deterioration in blood lipid concentrations and coronary artery disease in European adults.

Varga TV, Kurbasic A, Aine M, ..., Renström F, Franks PW

Int J Epidemiol - (-) - [2016-11-17; online 2016-11-17]

Bioinformatics Support for Computational Resources [Service] NGI Uppsala (SNP&SEQ Technology Platform) [Service] National Genomics Infrastructure [Service]

The genetic architecture of type 2 diabetes.

Fuchsberger C, Flannick J, Teslovich TM, ..., Altshuler D, McCarthy MI

Nature 536 (7614) 41-47 [2016-08-04; online 2016-07-11]

Bioinformatics Support for Computational Resources [Service] NGI Uppsala (SNP&SEQ Technology Platform) [Collaborative] National Genomics Infrastructure [Collaborative]

Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci.

Gaulton KJ, Ferreira T, Lee Y, ..., Morris AP, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium

Nat. Genet. 47 (12) 1415-1425 [2015-12-00; online 2015-11-09]

NGI Uppsala (SNP&SEQ Technology Platform) National Genomics Infrastructure

Age- and sex-specific causal effects of adiposity on cardiovascular risk factors.

Fall T, Hägg S, Ploner A, ..., Ingelsson E, ENGAGE Consortium

Diabetes 64 (5) 1841-1852 [2015-05-00; online 2015-02-26]

NGI Uppsala (SNP&SEQ Technology Platform) National Genomics Infrastructure

Using genetics to test the causal relationship of total adiposity and periodontitis: Mendelian randomization analyses in the Gene-Lifestyle Interactions and Dental Endpoints (GLIDE) Consortium.

Shungin D, Cornelis MC, Divaris K, ..., Johansson I, Franks PW

Int J Epidemiol 44 (2) 638-650 [2015-04-00; online 2015-06-06]

NGI Uppsala (SNP&SEQ Technology Platform) National Genomics Infrastructure

Common genetic variants highlight the role of insulin resistance and body fat distribution in type 2 diabetes, independent of obesity.

Scott RA, Fall T, Pasko D, ..., Langenberg C, Wareham NJ

Diabetes 63 (12) 4378-4387 [2014-12-00; online 2014-06-19]

NGI Uppsala (SNP&SEQ Technology Platform) [Service] National Genomics Infrastructure [Service]

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium , Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium , South Asian Type 2 Diabetes (SAT2D) Consortium , ..., McCarthy MI, Morris AP

Nat. Genet. 46 (3) 234-244 [2014-03-00; online 2014-02-11]

NGI Uppsala (SNP&SEQ Technology Platform) National Genomics Infrastructure

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes.

Morris AP, Voight BF, Teslovich TM, ..., McCarthy MI, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium

Nat. Genet. 44 (9) 981-990 [2012-09-00; online 2012-08-14]

NGI Uppsala (SNP&SEQ Technology Platform) National Genomics Infrastructure

Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.

Dastani Z, Hivert MF, Timpson N, ..., Rader DJ, Kathiresan S

PLoS Genet. 8 (3) e1002607 [2012-03-29; online 2012-03-29]

NGI Uppsala (SNP&SEQ Technology Platform) NGI Uppsala (Uppsala Genome Center) National Genomics Infrastructure

A genome-wide association search for type 2 diabetes genes in African Americans.

Palmer ND, McDonough CW, Hicks PJ, ..., Mooser V, Sladek R

PLoS ONE 7 (1) e29202 [2012-01-04; online 2012-01-04]

NGI Uppsala (SNP&SEQ Technology Platform) National Genomics Infrastructure

Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge.

Saxena R, Hivert MF, Langenberg C, ..., Wareham NJ, Watanabe RM

Nat. Genet. 42 (2) 142-148 [2010-02-00; online 2010-01-19]

NGI Uppsala (SNP&SEQ Technology Platform) National Genomics Infrastructure