Maria Pina Concas

Dr. Maria Pina Concas

Institute for Maternal and Child Health—IRCCS, Burlo Garofolo, 34127 Trieste, Italy
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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11 May 2016 in Nature
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AOAysu Okbay
Aysu Okbay
JBJonathan P. Beauchamp
Jonathan P. Beauchamp
MFMark Alan Fontana
Mark Alan Fontana
JLJames J. Lee
James J. Lee
TPTune H. Pers
Tune H. Pers
DBDaniel J. Benjamin
Daniel J. Benjamin
Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals1. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample1,2 of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.

9 December 2021 in Nature
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SGSarah E. Graham
Sarah E. Graham
SCShoa L. Clarke
Shoa L. Clarke
KWKuan-Han H. Wu
Kuan-Han H. Wu
Stavroula KanoniStavroula Kanoni
Stavroula Kanoni
GZGreg J. M. Zajac
Greg J. M. Zajac
CWCristen J. Willer
Cristen J. Willer

31 May 2019 in Nature Genetics
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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.

1 November 2018 in The American Journal of Human Genetics
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SLSymen Ligthart
Symen Ligthart
AVAhmad Vaez
Ahmad Vaez
UVUrmo Võsa
Urmo Võsa
MSMaria G. Stathopoulou
Maria G. Stathopoulou
PVPaul S. de Vries
Paul S. de Vries
EBEmelia J. Benjamin
Emelia J. Benjamin

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

28 May 2018 in Nature Genetics
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MTMilly S. Tedja
Milly S. Tedja
RWRobert Wojciechowski
Robert Wojciechowski
PHPirro G. Hysi
Pirro G. Hysi
NENicholas Eriksson
Nicholas Eriksson
NFNicholas A. Furlotte
Nicholas A. Furlotte
CKCaroline Klaver
Caroline Klaver
Refractive errors, including myopia, are the most frequent eye disorders worldwide and an increasingly common cause of blindness. This genome-wide association meta-analysis in 160,420 participants and replication in 95,505 participants increased the number of established independent signals from 37 to 161 and showed high genetic correlation between Europeans and Asians (>0.78). Expression experiments and comprehensive in silico analyses identified retinal cell physiology and light processing as prominent mechanisms, and also identified functional contributions to refractive-error development in all cell types of the neurosensory retina, retinal pigment epithelium, vascular endothelium and extracellular matrix. Newly identified genes implicate novel mechanisms such as rod-and-cone bipolar synaptic neurotransmission, anterior-segment morphology and angiogenesis. Thirty-one loci resided in or near regions transcribing small RNAs, thus suggesting a role for post-transcriptional regulation. Our results support the notion that refractive errors are caused by a light-dependent retina-to-sclera signaling cascade and delineate potential pathobiological molecular drivers.