Publications by authors named "Massimiliano Cocca"

Irritable bowel syndrome with diarrhea (IBS-D) is the most prevalent subtype of IBS, characterized by chronic gastrointestinal symptoms in the absence of identifiable pathological findings. This study aims to investigate the molecular mechanisms underlying IBS-D using transcriptomic data. By employing causal network inference methods, we identify key transcriptomic modules associated with IBS-D.

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  • * The research showed that individuals with high polygenic risk scores have significantly higher blood pressure (almost 17 mmHg more) and over seven times the risk of developing hypertension compared to those with low scores.
  • * Incorporating these genetic risk scores into hypertension prediction models improved their accuracy, and excitingly, similar genetic associations were found in a large African-American sample, underscoring the potential of these findings for precision health initiatives.
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  • X-chromosomal genetic variants can provide important information about differences in human traits and diseases between sexes.
  • A large-scale study analyzed kidney-related traits in nearly 909,000 individuals, finding 23 genetic loci linked to uric acid levels and estimated glomerular filtration rate (eGFR), including four new genes that may play a role in kidney function.
  • The research also discovered five novel sex-specific interactions, with variations showing different effects in males and females, and highlighted genes that are responsive to androgens (male hormones), indicating a complex relationship between sex and kidney-related genetics.
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  • This study examines the relationship between resting heart rate and cardiovascular diseases, identifying 493 genetic variants linked to this trait through a large-scale analysis of 835,465 individuals.
  • It highlights the significance of higher genetically predicted resting heart rates, which are associated with an increased risk of dilated cardiomyopathy but lower risk for conditions like atrial fibrillation and ischemic strokes.
  • The study also challenges previous findings on resting heart rate and all-cause mortality, suggesting earlier results may have been influenced by biases, ultimately enhancing our understanding of the biological implications of resting heart rate in cardiovascular health.
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  • Researchers analyzed genetic data from over 785,000 individuals of European descent to find 43 specific genomic regions related to reproductive success, measured by the number of children and instances of childlessness.
  • These genetic regions influence various factors tied to reproduction, such as puberty onset, age at first birth, and conditions like endometriosis, highlighting complex biological networks at play.
  • The study also uncovered a potential trade-off between higher reproductive output and shortened reproductive lifespan in certain genes, suggesting some genetic traits are linked to ongoing natural selection affecting fertility.
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Background: How much are natural selection and gene characteristics, such as the number of protein-protein interactions (PPIs), tissue specificity (𝞽), and expression level, connected?

Methods: In order to investigate these relationships, we combined different metrics linked to genetic constraints and analyzed their distribution concerning PPIs, 𝞽 and expression levels.

Results: We discovered a positive correlation between genetic constraints, PPIs, and expression levels in all tissues. On the other hand, we obtained a negative correlation between genetic constraints and 𝞽.

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  • Common SNPs may account for 40-50% of human height variation, and this study identifies 12,111 SNPs linked to height from a large sample of 5.4 million individuals.
  • These SNPs cluster in 7,209 genomic segments, encompassing about 21% of the genome and showing varying densities enriched in relevant genes.
  • While these SNPs explain a substantial portion of height variance in European populations (40-45%), their predictive power is lower (10-24%) in other ancestries, suggesting a need for more research to enhance understanding in diverse populations.
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Background: Describing how genetic history shapes the pattern of medically relevant variants could improve the understanding of how specific loci interact with each other and affect diseases and traits prevalence. The Qatari population is characterized by a complex history of admixture and substructure, and the study of its population genomic features would provide valuable insights into the genetic landscape of functional variants. Here, we analyzed the genomic variation of 186 newly-genotyped healthy individuals from the Qatari peninsula.

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  • The QT interval is a key measure in electrocardiograms that indicates the timing of heart muscle contractions and recoveries; abnormalities can lead to serious heart conditions.
  • A study involving over 250,000 individuals identified many genetic loci linked to various heart rhythm measures, revealing important genetic factors associated with QT, JT, and QRS intervals.
  • The findings suggest that certain gene variations could inform new treatments for arrhythmias and highlight genetic pathways involved in heart function and energy metabolism.
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  • The study investigates the genetic factors contributing to the decline in estimated glomerular filtration rate (eGFR), a key indicator of kidney function, by analyzing data from 62 longitudinal studies involving over 343,000 participants.
  • Twelve significant genetic variants related to eGFR decline were identified, with most showing interaction effects based on age, which highlights how genetic influences on kidney function change as individuals get older.
  • The findings emphasize that individuals with certain genetic profiles face higher risks for kidney failure and acute kidney injury, providing valuable insights that could aid in drug development and strategies for managing kidney health.
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  • Reduced glomerular filtration rate (GFR) is a precursor to kidney failure, influenced by factors like genetics and diabetes (DM), but the interaction between these factors is not well understood.
  • A large-scale genome-wide association study (GWAS) analyzed eGFR across almost 1.5 million individuals, revealing distinct genetic loci that differ between those with and without diabetes.
  • The findings identified potential new targets for drug development aimed at protecting kidney function, highlighting that many drug interventions could be effective for both diabetic and non-diabetic populations.
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Background: Uromodulin, the most abundant protein excreted in normal urine, plays major roles in kidney physiology and disease. The mechanisms regulating the urinary excretion of uromodulin remain essentially unknown.

Methods: We conducted a meta-analysis of genome-wide association studies for raw (uUMOD) and indexed to creatinine (uUCR) urinary levels of uromodulin in 29,315 individuals of European ancestry from 13 cohorts.

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Host genomic information, specifically genomic variations, may characterize susceptibility to disease and identify people with a higher risk of harm, leading to better targeting of care and vaccination. Italy was the epicentre for the spread of COVID-19 in Europe, the first country to go into a national lockdown and has one of the highest COVID-19 associated mortality rates. Qatar, on the other hand has a very low mortality rate.

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Non-Syndromic Hereditary Hearing Loss (NSHHL) is a genetically heterogeneous sensory disorder with about 120 genes already associated. Through exome sequencing (ES) and data aggregation, we identified a family with six affected individuals and one unrelated NSHHL patient with predicted-to-be deleterious missense variants in USP48. We also uncovered an eighth patient presenting unilateral cochlear nerve aplasia and a de novo splice variant in the same gene.

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To date, little is known about the role of olfactory receptor (OR) genes on smell performance. Thanks to the availability of whole-genome sequencing data of 802 samples, we identified 41 knockout (KO) OR genes (i.e.

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Whole genome sequencing (WGS) allows the identification of human knockouts (HKOs), individuals in whom loss of function (LoF) variants disrupt both alleles of a given gene. HKOs are a valuable model for understanding the consequences of genes function loss. Naturally occurring biallelic LoF variants tend to be significantly enriched in "genetic isolates," making these populations specifically suited for HKO studies.

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Human eye color is highly heritable, but its genetic architecture is not yet fully understood. We report the results of the largest genome-wide association study for eye color to date, involving up to 192,986 European participants from 10 populations. We identify 124 independent associations arising from 61 discrete genomic regions, including 50 previously unidentified.

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  • - The study investigates the genetic factors contributing to the rapid decline in glomerular filtration rate (eGFRcrea), using data from 42 genome-wide association studies to analyze genetic loci linked to this decline.
  • - Two specific definitions of rapid eGFRcrea decline are examined, leading to the identification of seven independent genetic variants associated with this condition, including significant findings near three novel loci.
  • - The research suggests that individuals with a higher genetic risk for kidney function decline are more likely to experience acute kidney injury, indicating that these identified genetic loci could help in developing targeted therapies and identifying at-risk individuals.
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  • Educational attainment serves as a proxy for socioeconomic status (SES), which is linked to increased risks of hypertension and high blood pressure (BP).
  • The study focused on exploring genetic factors influencing BP by examining how education levels (specifically "Some College" and "Graduated College") interact with genetics, using large-scale multi-ancestry analyses to identify both known and new genetic loci associated with BP.
  • From two phases of research involving over 400,000 participants, the study discovered 84 previously recognized and 18 new genetic loci related to BP, particularly noting the importance of SES and educational attainment in understanding genetic influences on BP regulation.
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Gene prioritization is the process of determining which variants and genes identified in genetic analyses are likely to cause a disease or a variation in a phenotype. For many genes, neither in vitro nor in vivo testing is available, thus assessing their pathogenic role could be challenging, leading to false-positive or false-negative results. In this paper, we propose an innovative score of gene prioritization based on the population of interest.

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The genomic variation of the Italian peninsula populations is currently under characterised: the only Italian whole-genome reference is represented by the Tuscans from the 1000 Genome Project. To address this issue, we sequenced a total of 947 Italian samples from three different geographical areas. First, we defined a new Italian Genome Reference Panel (IGRP1.

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In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (F) for >1.

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Previous research has shown that genes play a substantial role in determining a person's susceptibility to age-related hearing impairment. The existing studies on this subject have different results, which may be caused by difficulties in determining the phenotype or the limited number of participants involved. Here, we have gathered the largest sample to date (discovery n = 9,675; replication n = 10,963; validation n = 356,141), and examined phenotypes that represented low/mid and high frequency hearing loss on the pure tone audiogram.

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Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy.

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  • Increased urinary albumin-to-creatinine ratio (UACR) is linked to higher risks of kidney disease and cardiovascular issues, yet the underlying causes are not fully understood.
  • A large meta-analysis identified 68 genetic loci associated with UACR, highlighting connections to conditions like proteinuria, hyperlipidemia, and hypertension.
  • Specific genes (such as TGFB1 and PRKCI) were implicated in kidney function, and experiments showed that disrupting these genes in fruit flies affects albumin processing, suggesting new avenues for research to lower albumin levels.
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