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Erik Ingelsson

Explore the profile of Erik Ingelsson including associated specialties, affiliations and a list of published articles. Areas
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Articles 394
Citations 48350
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Recent Articles
1.
Willems S, Ng N, Fernandez J, Fine R, Wheeler E, Wessel J, et al.
Wellcome Open Res . 2024 Sep; 8():483. PMID: 39280063
Background: Genome-wide association studies for glycemic traits have identified hundreds of loci associated with these biomarkers of glucose homeostasis. Despite this success, the challenge remains to link variant associations to...
2.
Gustafsson S, Lampa E, Jensevik Eriksson K, Butterworth A, Elmstahl S, Engstrom G, et al.
Nat Cardiovasc Res . 2024 Aug; 3(2):130-139. PMID: 39196201
Myocardial infarction is a leading cause of death globally but is notoriously difficult to predict. We aimed to identify biomarkers of an imminent first myocardial infarction and design relevant prediction...
3.
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...
4.
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.
5.
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...
6.
Gomes B, Hedman K, Kuznetsova T, Cauwenberghs N, Hsu D, Kobayashi Y, et al.
Eur J Appl Physiol . 2023 Jan; 123(5):989-1001. PMID: 36617359
Purpose: The geometric patterns of ventricular remodeling are determined using indexed left ventricular mass (LVM), end-diastolic volume (LVEDV) and concentricity, most often measured using the mass-to-volume ratio (MVR). The aims...
7.
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...
8.
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...
9.
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...
10.
Gloudemans M, Balliu B, Nachun D, Schnurr T, Durrant M, Ingelsson E, et al.
Genome Med . 2022 Mar; 14(1):31. PMID: 35292083
Background: Identification of causal genes for polygenic human diseases has been extremely challenging, and our understanding of how physiological and pharmacological stimuli modulate genetic risk at disease-associated loci is limited....