Nigel W Rayner
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Explore the profile of Nigel W Rayner including associated specialties, affiliations and a list of published articles.
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58
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18400
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Recent Articles
1.
Associations of Combined Genetic and Lifestyle Risks with Incident Type 2 Diabetes in the UK Biobank
Zhao C, Hatzikotoulas K, Balasubramanian R, Bertone-Johnson E, Cai N, Huang L, et al.
medRxiv
. 2025 Jan;
PMID: 39763538
Background: Type 2 diabetes (T2D) results from a complex interplay between genetic predisposition and lifestyle factors. Both genetic susceptibility and unhealthy lifestyle are known to be associated with elevated T2D...
2.
Bocher O, Singh A, Huang Y, Vosa U, Reimann E, Arruda A, et al.
PLoS Genet
. 2024 Dec;
20(12):e1011346.
PMID: 39625957
Circulating metabolite levels have been associated with type 2 diabetes (T2D), but the extent to which T2D affects metabolite levels and their genetic regulation remains to be elucidated. In this...
3.
Spielmann N, Miller G, Oprea T, Hsu C, Fobo G, Frishman G, et al.
Nat Cardiovasc Res
. 2024 Aug;
1(2):157-173.
PMID: 39195995
Clinical presentation of congenital heart disease is heterogeneous, making identification of the disease-causing genes and their genetic pathways and mechanisms of action challenging. By using in vivo electrocardiography, transthoracic echocardiography...
4.
Mandla R, Lorenz K, Yin X, Bocher O, Huerta-Chagoya A, Arruda A, et al.
medRxiv
. 2024 Jul;
PMID: 39072045
Discerning the mechanisms driving type 2 diabetes (T2D) pathophysiology from genome-wide association studies (GWAS) remains a challenge. To this end, we integrated omics information from 16 multi-tissue and multi-ancestry expression,...
5.
Suzuki K, Hatzikotoulas K, Southam L, Taylor H, Yin X, Lorenz K, et al.
Nature
. 2024 Feb;
627(8003):347-357.
PMID: 38374256
Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution...
6.
Graham S, Clarke S, Wu K, Kanoni S, Zajac G, Ramdas S, et al.
Nature
. 2023 May;
618(7965):E19-E20.
PMID: 37237109
No abstract available.
7.
Suzuki K, Hatzikotoulas K, Southam L, Taylor H, Yin X, Lorenz K, et al.
medRxiv
. 2023 Apr;
PMID: 37034649
Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study...
8.
Kanoni S, Graham S, Wang Y, Surakka I, Ramdas S, Zhu X, et al.
Genome Biol
. 2022 Dec;
23(1):268.
PMID: 36575460
Background: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of...
9.
Yengo L, Vedantam S, Marouli E, Sidorenko J, Bartell E, Sakaue S, et al.
Nature
. 2022 Oct;
610(7933):704-712.
PMID: 36224396
Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes. Here, using...
10.
Ramdas S, Judd J, Graham S, Kanoni S, Wang Y, Surakka I, et al.
Am J Hum Genet
. 2022 Aug;
109(8):1366-1387.
PMID: 35931049
A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from...