Eric B Fauman
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Explore the profile of Eric B Fauman including associated specialties, affiliations and a list of published articles.
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25
Citations
1998
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Recent Articles
1.
Okamoto J, Yin X, Ryan B, Chiou J, Luca F, Pique-Regi R, et al.
Genome Biol
. 2025 Feb;
26(1):19.
PMID: 39901160
We present multi-integration of transcriptome-wide association studies and colocalization (Multi-INTACT), an algorithm that models multiple "gene products" (e.g., encoded RNA transcript and protein levels) to implicate causal genes and relevant...
2.
Sun B, Chiou J, Traylor M, Benner C, Hsu Y, Richardson T, et al.
Nature
. 2023 Oct;
622(7982):329-338.
PMID: 37794186
The Pharma Proteomics Project is a precompetitive biopharmaceutical consortium characterizing the plasma proteomic profiles of 54,219 UK Biobank participants. Here we provide a detailed summary of this initiative, including technical...
3.
Yin X, Li J, Bose D, Okamoto J, Kwon A, Jackson A, et al.
medRxiv
. 2023 Jul;
PMID: 37425837
Metabolites are small molecules that are useful for estimating disease risk and elucidating disease biology. Nevertheless, their causal effects on human diseases have not been evaluated comprehensively. We performed two-sample...
4.
Costanzo M, von Grotthuss M, Massung J, Jang D, Caulkins L, Koesterer R, et al.
Cell Metab
. 2023 Mar;
35(4):695-710.e6.
PMID: 36963395
Associations between human genetic variation and clinical phenotypes have become a foundation of biomedical research. Most repositories of these data seek to be disease-agnostic and therefore lack disease-focused views. The...
5.
Fauman E, Keppo S, Cerioli N, Vyas R, Kurki M, Daly M, et al.
Bioinform Adv
. 2023 Mar;
3(1):vbad018.
PMID: 36908397
Motivation: Biobank scale genetic associations results over thousands of traits can be difficult to visualize and navigate. Results: We have created LAVAA, a visualization web-application to generate genetic volcano plots...
6.
Surendran P, Stewart I, Au Yeung V, Pietzner M, Raffler J, Worheide M, et al.
Nat Med
. 2022 Nov;
28(11):2321-2332.
PMID: 36357675
Garrod's concept of 'chemical individuality' has contributed to comprehension of the molecular origins of human diseases. Untargeted high-throughput metabolomic technologies provide an in-depth snapshot of human metabolism at scale. We...
7.
Smith C, Sinnott-Armstrong N, Cichonska A, Julkunen H, Fauman E, Wurtz P, et al.
Elife
. 2022 Sep;
11.
PMID: 36073519
Pleiotropy and genetic correlation are widespread features in genome-wide association studies (GWAS), but they are often difficult to interpret at the molecular level. Here, we perform GWAS of 16 metabolites...
8.
Yin X, Bose D, Kwon A, Hanks S, Jackson A, Stringham H, et al.
Am J Hum Genet
. 2022 Sep;
109(10):1727-1741.
PMID: 36055244
Transcriptomics data have been integrated with genome-wide association studies (GWASs) to help understand disease/trait molecular mechanisms. The utility of metabolomics, integrated with transcriptomics and disease GWASs, to understand molecular mechanisms...
9.
Fauman E, Hyde C
BMC Bioinformatics
. 2022 May;
23(1):169.
PMID: 35527238
Background: A genome-wide association study (GWAS) correlates variation in the genotype with variation in the phenotype across a cohort, but the causal gene mediating that impact is often unclear. When...
10.
Wainberg M, Merico D, Keller M, Fauman E, Tripathy S
Mol Psychiatry
. 2022 Apr;
27(7):3095-3106.
PMID: 35411039
Genome-wide association studies have discovered hundreds of genomic loci associated with psychiatric traits, but the causal genes underlying these associations are often unclear, a research gap that has hindered clinical...