Excited to share our new preprint on the long-term temporal stability of circulating proteins!
We describe the biological characteristics of temporally stable vs variable proteins, as well as the effects of genetic factors and disease state: https://t.co/PHCnxRBvjC
Our recent paper in Nature Aging describes the serum proteomic signature preceding Alzheimer‘s disease diagnosis, identifying over 300 proteins that we describe with regard to their relationship to the APOE-e4 risk genotype. https://t.co/FlwnsmMnWS
We believe that further study of these proteins may add to the understanding of the early disease processes and inform both therapeutic and biomarker research in Alzheimer’s disease.
High-throughput proteomics (>4,000 proteins) assessed in more than 5,000 older adults to unravel biomarkers and biology of Alzheimer's disease, in APOE-ε4 and non-APOE-ε4 individuals
https://t.co/TOMcgtYbMb @NatureAging@eliafrick LOAD=late-onset Alzheimer's
And very excited to finish this Alzheimer's disease proteomics paper in the new year with Elísabet in our group! Great collaboration with Emory and ACE.
Serum proteomics reveals APOE dependent and independent protein signatures in Alzheimer’s disease https://t.co/97b4rBJHMA
Also great to be a part of this heart failure study from AGES and replicated in CHS - Proteomic prediction of incident heart failure and its main subtypes
https://t.co/sLVbHQFG3c
Glad to finish the year with the publication of our atrial fibrillation proteome paper, great work by Þórarinn and Anna Eva, and my first last author paper!
https://t.co/aeznIp3kbE
Finding the genetic basis of protein expression can reveal genetic mechanisms of disease. Here @valborgg et al. link low-frequency & common DNA variants to thousands of serum proteins, finding genetic overlap between circulating proteins & various diseases https://t.co/JiqmLvcOgJ
Happy to share our latest preprint, a full GWAS of 4782 serum protein measurements in 5368 individuals from the AGES-Reykjavik cohort. https://t.co/TlNoJTFGAO 1/5
Understanding genetic control of circulating proteins can improve understanding of disease. Here, @valborgg et al. associate common genetic variants with circulating protein levels, finding overlap of genetic associations with proteins & complex diseases https://t.co/H7cWsUoMy7
Finally, for many phenotypes we find an enrichment of direct associations with serum proteins regulated by established GWAS loci for the same phenotype. 5/5
Happy to share our latest preprint, a full GWAS of 4782 serum protein measurements in 5368 individuals from the AGES-Reykjavik cohort. https://t.co/TlNoJTFGAO 1/5
We perform a systematic colocalization analysis between serum pQTLs and 81 GWAS traits, finding that 27% of protein-associated loci colocalize with at least one GWAS phenotype and 51% of all proteins with a study-wide significant pQTL. 4/5
Glad to see our paper on whole blood co-expression modules in @DIRECTdiabetes cohorts published in @GenomeMedicine! We map out, among other things, co-expression module associations with a wide range of clinical traits, T2D, omics and genetics. https://t.co/nstWshsvl5