Peter Almgren

Peter Almgren

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Peter Almgren

Department of Clinical Sciences, Lund University, Malmö, Sweden

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 March 2018 in Nature Genetics
Verified
Journal Article
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RMRainer Malik
Rainer Malik
GCGanesh Chauhan
Ganesh Chauhan
MTMatthew Traylor
Matthew Traylor
MSMuralidharan Sargurupremraj
Muralidharan Sargurupremraj
YOYukinori Okada
Yukinori Okada
MDMartin Dichgans
Martin Dichgans
Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke subtypes. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy.

17 September 2018 in Nature Genetics
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Journal Article
Open access
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TPThe Million Veteran Program
The Million Veteran Program
EEEvangelos Evangelou
Evangelos Evangelou
HWHelen R. Warren
Helen R. Warren
DMDavid Mosen-Ansorena
David Mosen-Ansorena
BMBorbala Mifsud
Borbala Mifsud
MCMark Caulfield
Mark Caulfield
High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

31 May 2019 in Nature Genetics
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Journal Article
Open access
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LSLifelines Cohort Study
Lifelines Cohort Study
MWMatthias Wuttke
Matthias Wuttke
VPV. A. Million Veteran Program
V. A. Million Veteran Program
YLYong Li
Yong Li
MLMan Li
Man Li
CPCristian Pattaro
Cristian Pattaro
Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.

9 January 2020 in Nature Communications
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SSSonia Shah
Sonia Shah
AHAlbert Henry
Albert Henry
CRCarolina Roselli
Carolina Roselli
HLHonghuang Lin
Honghuang Lin
GSGarðar Sveinbjörnsson
Garðar Sveinbjörnsson
RLR. Thomas Lumbers
R. Thomas Lumbers
Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.

11 June 2018 in Nature Genetics
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Journal Article
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CRCarolina Roselli
Carolina Roselli
MCMark D. Chaffin
Mark D. Chaffin
LWLu-Chen Weng
Lu-Chen Weng
SAStefanie Aeschbacher
Stefanie Aeschbacher
GAGustav Ahlberg
Gustav Ahlberg
PEPatrick T. Ellinor
Patrick T. Ellinor

21 December 2018 in Nature Genetics
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Journal Article
Open access
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UGUnderstanding Society Scientific Group
Understanding Society Scientific Group
AGAyush Giri
Ayush Giri
IPInternational Consortium for Blood Pressure
International Consortium for Blood Pressure
BSBlood Pressure-International Consortium of Exome Chip Studies
Blood Pressure-International Consortium of Exome Chip Studies
MPMillion Veteran Program
Million Veteran Program
TETodd L. Edwards
Todd L. Edwards
In this trans-ethnic multi-omic study, we reinterpret the genetic architecture of blood pressure to identify genes, tissues, phenomes and medication contexts of blood pressure homeostasis. We discovered 208 novel common blood pressure SNPs and 53 rare variants in genome-wide association studies of systolic, diastolic and pulse pressure in up to 776,078 participants from the Million Veteran Program (MVP) and collaborating studies, with analysis of the blood pressure clinical phenome in MVP. Our transcriptome-wide association study detected 4,043 blood pressure associations with genetically predicted gene expression of 840 genes in 45 tissues, and mouse renal single-cell RNA sequencing identified upregulated blood pressure genes in kidney tubule cells.