Integration of Sustainability Reporting at an Academic Institution

Leaders at nonprofit academic institutions are following the global business trend of embracing sustainability initiatives for positive social change; however, there has been slow growth in sustainability reporting among academic institutions. The purpose of this study was to explore the strategies and processes necessary for leaders and managers to integrate sustainability reporting into the reporting cycle for a nonprofit higher education institution. I conducted a single case study of a nonprofit academic institution that utilized sustainability reporting. The study sample consisted of 4 leaders and managers at a nonprofit academic institution located in the state of Michigan that published sustainability reports. The conceptual framework used for the study was corporate social responsibility (CSR), sustainability, and triple bottom line (TBL). The data collection process included interviews with leaders and managers involved in the sustainability reporting process and document reviews of the sustainability report and annual reports. I used a data-driven coding approach for data analysis. The codes were linked to create categories, and the categories led to the development of themes. The results revealed 5 themes regarding the sustainability reporting process, including the steps of the sustainability reporting process and the collaborative process in sustainability reporting. The implications for positive social change included the potential for greater transparency for students, faculty, staff, administration and community partners, and greater effectiveness of the implementation of environmental, economic, and social initiatives for higher education institutions and the community

Genetic effects on gene expression across human tissues

Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of diseas

Genetic effects on gene expression across human tissues

Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease

Genetic effects on gene expression across human tissues

Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease.Y