Publications by authors named "M Vaz Pato"

In studies of individuals of primarily European genetic ancestry, common and low-frequency variants and rare coding variants have been found to be associated with the risk of bipolar disorder (BD) and schizophrenia (SZ). However, less is known for individuals of other genetic ancestries or the role of rare non-coding variants in BD and SZ risk. We performed whole genome sequencing of African American individuals: 1,598 with BD, 3,295 with SZ, and 2,651 unaffected controls (InPSYght study).

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This study presents what we believe is the first extensive assessment of the water reflectance products from the German hyperspectral Environmental Mapping and Analysis Program (EnMAP). We evaluate EnMAP's standard normalized water leaving reflectance [ρ] over 17 water sites in the first two years of the mission. The EnMAP [ρ] standard product is generated by a dedicated water atmospheric correction (AC) called the Modular Inversion Program (MIP).

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Severe ischemia-reperfusion injury (IRI) causes acute and chronic kidney allograft damage. As therapeutic interventions to reduce damage are limited yet, research on how to promote kidney repair has gained significant interest. To address this question, we performed genome-wide transcriptome and epigenome profiling in progenitor cells isolated from the urine of deceased (severe IRI) and living (mild IRI) donor human kidney transplants and identified LIM homeobox-1 (LHX1) as an epigenetically regulated gene whose expression depends on the IRI severity.

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Article Synopsis
  • - The PUMAS project aims to address the lack of representation of African and Latin American populations in psychiatric genetics studies by analyzing genetic data from individuals with serious mental illness (SMI), including disorders like schizophrenia and bipolar disorder, using data from 89,320 participants across four different cohorts.
  • - The research involves harmonizing data from various clinical assessments to create standardized measures of mental health symptoms, which allows for more accurate genetic analyses across different diagnoses and symptoms.
  • - The findings show that schizophrenia and severe bipolar disorder are the most common diagnoses among participants, and a set of 19 key symptoms has been identified, which may be useful for cross-diagnosis genetic studies.
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