about
A genome-wide admixture scan for ancestry-linked genes predisposing to sarcoidosis in African-Americans.Extending admixture mapping to nuclear pedigrees: application to sarcoidosis.GeneImp: Fast Imputation to Large Reference Panels Using Genotype Likelihoods from Ultralow Coverage Sequencing.Automated pathway and reaction prediction facilitates in silico identification of unknown metabolites in human cohort studies.Biomarkers of rapid chronic kidney disease progression in type 2 diabetes.Protein biomarkers for the prediction of cardiovascular disease in type 2 diabetes.GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the risk.Reply to 'Misestimation of heritability and prediction accuracy of male-pattern baldness'.Author Correction: GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the risk.Serum kidney injury molecule 1 and β-microglobulin perform as well as larger biomarker panels for prediction of rapid decline in renal function in type 2 diabetesPrediction of treatment response in rheumatoid arthritis patients using genome-wide SNP dataApolipoprotein CIII and N-terminal prohormone b-type natriuretic peptide as independent predictors for cardiovascular disease in type 2 diabetesGenome-wide association study of response to tumour necrosis factor inhibitor therapy in rheumatoid arthritisGenome-wide association study of response to methotrexate in early rheumatoid arthritis patientsAssociation of response to TNF inhibitors in rheumatoid arthritis with quantitative trait loci for and CD39Expression quantitative trait loci-derived scores and white matter microstructure in UK Biobank: a novel approach to integrating genetics and neuroimagingPredicting renal disease progression in a large contemporary cohort with type 1 diabetes mellitusValidity of a two-component imaging-derived disease activity score for improved assessment of synovitis in early rheumatoid arthritisComparison of serum and urinary biomarker panels with albumin/creatinine ratio in the prediction of renal function decline in type 1 diabetesPersistent C-peptide secretion in Type 1 diabetes and its relationship to the genetic architecture of diabetesBiomarker panels associated with progression of renal disease in type 1 diabetes
P50
Q34682697-48312901-E130-4407-AA7B-2DCE608AD853Q37131201-13EDB26C-1F50-49F1-91D2-633EF3D29CC4Q38738916-826ACEC7-005B-4E01-ADE2-9683293267F2Q38799866-FC26A6D6-AE8D-4467-AA3E-465A217CA4F9Q40708396-D9E1703E-A119-49AE-9F11-B1C7206CA480Q41293822-7469ACD1-EB8C-4580-AB0D-0BB9E9181046Q45830306-589DFB09-4F65-456A-AB30-96B4990A1E48Q55397876-50F7871C-7E9B-44FF-8BF7-BDC19683BC47Q55399654-07ED80AD-4522-4618-ACDA-A2C8FDBA9763Q56979716-221F20E1-8B69-4F3C-A425-54CB8810B5C4Q57471049-4D029EB5-6966-4265-9F6E-816AD3780BE9Q57530017-6D5CA162-1706-4BF5-B463-5248EB7908D7Q58779486-9360BB12-A474-49E1-932A-EF1996DAE276Q59883459-8B796153-52CA-48A3-90DB-B6CC37A6C4A4Q64109926-6093F5CB-E28F-464D-9CF5-2516EACC7AC2Q89747591-6DCD2372-8616-4CD4-9E76-40C6B8062D90Q91743605-1F28E9A0-08A8-4A55-B2EB-2E788C6CA4B4Q92063403-1CCB7E89-4162-4D39-A61E-A2B1A08CAB5DQ92506846-761134CC-CD00-47DC-9FF0-7723DC952213Q92787276-43C226C5-CD40-4567-AD7B-E768027A5072Q92922094-D83E6E12-4924-4215-9CBE-A4F0579E67A8
P50
description
researcher, ORCID id # 0000-0001-6672-0623
@en
name
Marco Colombo
@ast
Marco Colombo
@en
Marco Colombo
@es
Marco Colombo
@nl
type
label
Marco Colombo
@ast
Marco Colombo
@en
Marco Colombo
@es
Marco Colombo
@nl
prefLabel
Marco Colombo
@ast
Marco Colombo
@en
Marco Colombo
@es
Marco Colombo
@nl
P106
P1153
55573290600
P21
P31
P496
0000-0001-6672-0623