D C Rao
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Explore the profile of D C Rao including associated specialties, affiliations and a list of published articles.
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561
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14661
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Recent Articles
1.
Westerman K, Kilpelainen T, Sevilla-Gonzalez M, Connelly M, Wood A, Tsai M, et al.
Genet Epidemiol
. 2025 Jan;
49(1):e22607.
PMID: 39764704
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful...
2.
Westerman K, Kilpelainen T, Sevilla-Gonzalez M, Connelly M, Wood A, Tsai M, et al.
medRxiv
. 2024 Feb;
PMID: 38313294
Large-scale gene-environment interaction (GxE) discovery efforts often involve compromises in the definition of outcomes and choice of covariates for the sake of data harmonization and statistical power. Consequently, refinement of...
3.
Guirette M, Lan J, McKeown N, Brown M, Chen H, de Vries P, et al.
Hypertension
. 2024 Jan;
81(3):552-560.
PMID: 38226488
Background: The Dietary Approaches to Stop Hypertension (DASH) diet score lowers blood pressure (BP). We examined interactions between genotype and the DASH diet score in relation to systolic BP. Methods:...
4.
Guirette M, Lan J, McKeown N, Brown M, Chen H, de Vries P, et al.
medRxiv
. 2023 Nov;
PMID: 37986948
Objective: We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP). Methods: We analyzed up to 9,420,585 biallelic...
5.
Zhu X, Yang Y, Lorincz-Comi N, Li G, Bentley A, de Vries P, et al.
Res Sq
. 2023 Oct;
PMID: 37886448
There is a long-standing debate about the magnitude of the contribution of gene-environment interactions to phenotypic variations of complex traits owing to the low statistical power and few reported interactions...
6.
Zhang X, Brody J, Graff M, Highland H, Chami N, Xu H, et al.
medRxiv
. 2023 Sep;
PMID: 37662265
Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European...
7.
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.
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.
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...
10.
Sarzynski M, Rice T, Despres J, Perusse L, Tremblay A, Stanforth P, et al.
Med Sci Sports Exerc
. 2022 May;
54(5S):S1-S43.
PMID: 35611651
The aim of the HERITAGE Family Study was to investigate individual differences in response to a standardized endurance exercise program, the role of familial aggregation, and the genetics of response...