Jeffrey R OConnel
Overview
Explore the profile of Jeffrey R OConnel including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
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Articles
6
Citations
479
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0
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Recent Articles
1.
Noordam R, Wang W, Nagarajan P, Wang H, Brown M, Bentley A, et al.
medRxiv
. 2024 Sep;
PMID: 39281768
We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify novel genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets. We...
2.
Turcot V, Lu Y, Highland H, Schurmann C, Justice A, Fine R, et al.
Nat Genet
. 2019 Jun;
51(7):1191-1192.
PMID: 31160809
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
3.
Turcot V, Lu Y, Highland H, Schurmann C, Justice A, Fine R, et al.
Nat Genet
. 2018 Mar;
50(5):766-767.
PMID: 29549330
In the version of this article originally published, one of the two authors with the name Wei Zhao was omitted from the author list and the affiliations for both authors...
4.
Turcot V, Lu Y, Highland H, Schurmann C, Justice A, Fine R, et al.
Nat Genet
. 2018 Mar;
50(5):765-766.
PMID: 29549329
In the published version of this paper, the name of author Emanuele Di Angelantonio was misspelled. This error has now been corrected in the HTML and PDF versions of the...
5.
Turcot V, Lu Y, Highland H, Schurmann C, Justice A, Fine R, et al.
Nat Genet
. 2017 Dec;
50(1):26-41.
PMID: 29273807
Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which...
6.
Marouli E, Graff M, Medina-Gomez C, Lo K, Wood A, Kjaer T, et al.
Nature
. 2017 Feb;
542(7640):186-190.
PMID: 28146470
Height is a highly heritable, classic polygenic trait with approximately 700 common associated variants identified through genome-wide association studies so far. Here, we report 83 height-associated coding variants with lower...