45 research outputs found
Study of biometrical variability in Xiphinema insigne Loos, 1949, and X. elongatum Schuurmans Stekhoven et Teunissen, 1938; description of X. Savanicola n. sp. (Nematoda : Longidoridae) and comments on thelytokous species
Nothocriconema sheperdae n. sp. (Nematoda : Criconematidae) with observations on extracuticular layer formation
Redefinition of Xiphinema ensiculiferum (Cobb, 1893) Thorne, 1937 and description of Xiphinema loosi n. sp. and Xiphinema hygrophilum n. sp. (Nematoda : Dorylaimoidea)
Taxonomy of some species of Anguina Scopoli, 1777 (sensu Brzeski, 1981) forming galls on Gramineae : value of diagnostic characters and present status of nominal species
Methodological adaptation for nematodes extration in forest soils of the southern Mata Atlântica
Estudo Comparativo da Biologia de Meloidogyne enterolobii (= M. mayaguensis) e Meloidogyne javanica em tomateiros com gene Mi
Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk
Mammographic density reflects the amount of stromal and epithelial tissues in relation to adipose tissue in the breast and is a strong risk factor for breast cancer. Here we report the results from meta-analysis of genome-wide association studies (GWAS) of three mammographic density phenotypes: dense area, non-dense area and percent density in up to 7,916 women in stage 1 and an additional 10,379 women in stage 2. We identify genome-wide significant (P<5×10−8) loci for dense area (AREG, ESR1, ZNF365, LSP1/TNNT3, IGF1, TMEM184B, SGSM3/MKL1), non-dense area (8p11.23) and percent density (PRDM6, 8p11.23, TMEM184B). Four of these regions are known breast cancer susceptibility loci, and four additional regions were found to be associated with breast cancer (P<0.05) in a large meta-analysis. These results provide further evidence of a shared genetic basis between mammographic density and breast cancer and illustrate the power of studying intermediate quantitative phenotypes to identify putative disease susceptibility loci
Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes
Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P < 5 × 10−8) for subsets of NHL subtypes, including a novel locus at 10q23.33 (HHEX) (P = 3.27 × 10−9). Most subset associations were driven primarily by only one subtype. Genome-wide genetic correlations between pairs of subtypes varied broadly from 0.20 to 0.86, suggesting substantial heterogeneity in the extent of shared heritability among subtypes. Polygenic risk score analyses of established loci for different lymphoid malignancies identified strong associations with some NHL subtypes (P < 5 × 10−8), but weak or null associations with others. Although our analyses suggest partially shared heritability and biological pathways, they reveal substantial heterogeneity among NHL subtypes with each having its own distinct germline genetic architecture