Markus Scholz

Prof. Dr. Markus Scholz

Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Universität Leipzig, 04103 Leipzig, Saxony, Germany
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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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2 September 2021 in Nature Genetics
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UVUrmo Võsa
Urmo Võsa
ACAnnique Claringbould
Annique Claringbould
HWHarm-Jan Westra
Harm-Jan Westra
MBMarc Jan Bonder
Marc Jan Bonder
PDPatrick Deelen
Patrick Deelen
LFLude Franke
Lude Franke

31 May 2019 in Nature Genetics
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Journal Article
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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.

29 May 2018 in Nature Communications
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GDGail Davies
Gail Davies
MLMax Lam
Max Lam
SHSarah E Harris
Sarah E Harris
JTJoey W Trampush
Joey W Trampush
MLMichelle Luciano
Michelle Luciano
IDIan Deary
Ian Deary
General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (totalN = 300,486; age 16–102) and find 148 genome-wide significant independent loci (P < 5 × 10−8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.

2 October 2019 in Nature Genetics
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GSGerman Chronic Kidney Disease Study
German Chronic Kidney Disease Study
ATAdrienne Tin
Adrienne Tin
LSLifelines Cohort Study
Lifelines Cohort Study
VPV. A. Million Veteran Program
V. A. Million Veteran Program
JMJonathan Marten
Jonathan Marten
AKAnna Köttgen
Anna Köttgen

3 February 2021 in European Heart Journal
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JHJaana A Hartiala
Jaana A Hartiala
YHYi Han
Yi Han
QJQiong Jia
Qiong Jia
JHJames R Hilser
James R Hilser
PHPin Huang
Pin Huang
HAHooman Allayee
Hooman Allayee
While most patients with myocardial infarction (MI) have underlying coronary atherosclerosis, not all patients with coronary artery disease (CAD) develop MI. We sought to address the hypothesis that some of the genetic factors which establish atherosclerosis may be distinct from those that predispose to vulnerable plaques and thrombus formation. We carried out a genome-wide association study for MI in the UK Biobank (n∼472 000), followed by a meta-analysis with summary statistics from the CARDIoGRAMplusC4D Consortium (n∼167 000). Multiple independent replication analyses and functional approaches were used to prioritize loci and evaluate positional candidate genes. Eight novel regions were identified for MI at the genome wide significance level, of which effect sizes at six loci were more robust for MI than for CAD without the presence of MI. Confirmatory evidence for association of a locus on chromosome 1p21.3 harbouring choline-like transporter 3 (SLC44A3) with MI in the context of CAD, but not with coronary atherosclerosis itself, was obtained in Biobank Japan (n∼165 000) and 16 independent angiography-based cohorts (n∼27 000). Follow-up analyses did not reveal association of the SLC44A3 locus with CAD risk factors, biomarkers of coagulation, other thrombotic diseases, or plasma levels of a broad array of metabolites, including choline, trimethylamine N-oxide, and betaine. However, aortic expression of SLC44A3 was increased in carriers of the MI risk allele at chromosome 1p21.3, increased in ischaemic (vs. non-diseased) coronary arteries, up-regulated in human aortic endothelial cells treated with interleukin-1β (vs. vehicle), and associated with smooth muscle cell migration in vitro. A large-scale analysis comprising ∼831 000 subjects revealed novel genetic determinants of MI and implicated SLC44A3 in the pathophysiology of vulnerable plaques.

21 October 2019 in Nature Genetics
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CSClaudia L Satizabal
Claudia L Satizabal
HAHieab H H Adams
Hieab H H Adams
DHDerrek P Hibar
Derrek P Hibar
CWCharles C White
Charles C White
MKMaria J Knol
Maria J Knol
MIM Arfan Ikram
M Arfan Ikram