Neil R Robertson
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Explore the profile of Neil R Robertson including associated specialties, affiliations and a list of published articles.
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13454
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Recent Articles
1.
Dawed A, Mari A, Brown A, McDonald T, Li L, Wang S, et al.
Lancet Diabetes Endocrinol
. 2022 Dec;
11(1):33-41.
PMID: 36528349
Background: In the treatment of type 2 diabetes, GLP-1 receptor agonists lower blood glucose concentrations, body weight, and have cardiovascular benefits. The efficacy and side effects of GLP-1 receptor agonists...
2.
Mahajan A, Spracklen C, Zhang W, Ng M, Petty L, Kitajima H, et al.
Nat Genet
. 2022 May;
54(5):560-572.
PMID: 35551307
We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis...
3.
van Zuydam N, Stiby A, Abdalla M, Austin E, Dahlstrom E, McLachlan S, et al.
Circ Genom Precis Med
. 2021 Oct;
14(5):e002862.
PMID: 34601942
Background: Peripheral artery disease (PAD) affects >200 million people worldwide and is associated with high mortality and morbidity. We sought to identify genomic variants associated with PAD overall and in...
4.
Chen J, Spracklen C, Marenne G, Varshney A, Corbin L, Luan J, et al.
Nat Genet
. 2021 Jun;
53(6):840-860.
PMID: 34059833
Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here...
5.
van Zuydam N, Ladenvall C, Voight B, Strawbridge R, Fernandez-Tajes J, Rayner N, et al.
Circ Genom Precis Med
. 2020 Dec;
13(6):e002769.
PMID: 33321069
Background: Coronary artery disease (CAD) is accelerated in subjects with type 2 diabetes mellitus (T2D). Methods: To test whether this reflects differential genetic influences on CAD risk in subjects with...
6.
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.
7.
Flannick J, Mercader J, Fuchsberger C, Udler M, Mahajan A, Wessel J, et al.
Nature
. 2019 May;
570(7759):71-76.
PMID: 31118516
Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to disease pathogenesis. Here we report exome-sequencing analyses of 20,791 individuals with type 2 diabetes (T2D) and 24,440 ...
8.
Warrington N, Beaumont R, Horikoshi M, Day F, Helgeland O, Laurin C, et al.
Nat Genet
. 2019 May;
51(5):804-814.
PMID: 31043758
Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own...
9.
Justice A, Karaderi T, Highland H, Young K, Graff M, Lu Y, et al.
Nat Genet
. 2019 Feb;
51(3):452-469.
PMID: 30778226
Body-fat distribution is a risk factor for adverse cardiovascular health consequences. We analyzed the association of body-fat distribution, assessed by waist-to-hip ratio adjusted for body mass index, with 228,985 predicted...
10.
Mahajan A, Taliun D, Thurner M, Robertson N, Torres J, Rayner N, et al.
Nat Genet
. 2018 Oct;
50(11):1505-1513.
PMID: 30297969
We expanded GWAS discovery for type 2 diabetes (T2D) by combining data from 898,130 European-descent individuals (9% cases), after imputation to high-density reference panels. With these data, we (i) extend...