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

Determinants of telomere length across human tissues

Telomere shortening is a hallmark of aging. Telomere length (TL) in blood cells has been studied extensively as a biomarker of human aging and disease; however, little is known regarding variability in TL in nonblood, disease-relevant tissue types. Here, we characterize variability in TLs from 6391 tissue samples, representing >20 tissue types and 952 individuals from the Genotype-Tissue Expression (GTEx) project. We describe differences across tissue types, positive correlation among tissue types, and associations with age and ancestry. We show that genetic variation affects TL in multiple tissue types and that TL may mediate the effect of age on gene expression. Our results provide the foundational knowledge regarding TL in healthy tissues that is needed to interpret epidemiological studies of TL and human health

Improved survival for children and young adolescents with acute myeloid leukemia: a Dutch study on incidence, survival and mortality

Variation in survival of pediatric acute myeloid leukemia (pAML) over time and between Western European countries exists. The aim of the current study is to assess the progress made for the Dutch pAML population (0–17 years) during 1990–2015, based on trends in incidence, survival and mortality. Data from the population-based Netherlands Cancer Registry were merged with leukemia-related characteristics and treatment specifics from the Dutch Childhood Leukemia Study Group (Dutch Childhood Oncology Group (DCOG) from 2002 onwards). Mortality data (1980–2016) were obtained from the cause of death registry of Statistics Netherlands. Trend analyses were performed over time and by treatment protocol. Between 1990 and 2015, a total of 635 children aged 0–17 years were diagnosed with AML for an average of 25 patients (range 18–36) per year. There was a slight increase in the incidence at age 1–4 years (average annual percentage change (AAPC) of +2.2% per year (95% CI 0.8–3.5, p < 0.01)). Overall, the 5-year survival significantly improved over the past 26 years and nearly doubled from 40% in the early 1990s to 74% in 2010–2015. Multivariable analysis showed a 49% reduction in risk of death for pAML patients treated according to the latest DB-AML 01 protocol (p = 0.03). The continuing decrease of mortality (AAPC −2.8% per year (95% CI −4.1 to −1.5)) supports the conclusion of true progress against pAML in the Netherlands