57 research outputs found
Radio Di Kawasan Perbatasan Indonesia Dalam Centering the Margin
Kawasan perbatasan Indonesia banyak mengalami blank spot layanan informasi sehingga siaran yang menghubungkan warganegara dan pemerintah tidak tersampaikan dengan baik. Padahal, keberadaan media di perbatasan sangat strategis sebagai penyedia informasi yang merefl eksikan dinamika lokal, mengartikulasikan kepentingan daerah sehingga dapat didengar oleh pusat. Harapannya, artikulasi tersebut dapat memberi warna pada dinamika sosial, politik, ekonomi, dan budaya di tanah air. Tulisan ini mengeksplorasi bagaimana radio di wilayah perbatasan memberikan kontribusi dalam peran centering the margin, yakni membawa aspirasi di perbatasan guna “memusatkan yang pinggirâ€
Introduction
Additional file 1. R script used for classification with different thresholds of mislabeled observations
La Charente
24 avril 18771877/04/24 (A6,N1533)-1877/04/24.Appartient à l’ensemble documentaire : PoitouCh
Additional file 3: of A nonsense mutation in the COL7A1 gene causes epidermolysis bullosa in Vorderwald cattle
Phenotype data for 43 VWD animals. Description: Phenotypes for epidermolysis bullosa in two affected calves, 14 parents and 27 control animals were coded as 2, 1 and 0, respectively. (TXT 484 bytes
Additional file 2: of A nonsense mutation in the COL7A1 gene causes epidermolysis bullosa in Vorderwald cattle
R script that implements the haplotype-based GWAS to map epidermolysis bullosa. Description: R script that reads haplotypes, SNP-positions, eigenvectors and phenotypes to perform a haplotype-based association study. A small dataset to perform the association study between epidermolysis bullosa in 43 VWD animals and haplotypes on chromosome 22 is provided in the Additional files 3, 4, 5 and 6. The script was tested in an unix environment. (TXT 4 kb
Additional file 5: of A nonsense mutation in the COL7A1 gene causes epidermolysis bullosa in Vorderwald cattle
Positions of 1009 SNPs on bovine chromosome 22. Description: The SNPs are ordered according to their chromosomal position and correspond to the haplotype phases in Additional file 4. (TXT 32 kb
Identification and Dissection of Four Major QTL Affecting Milk Fat Content in the German Holstein-Friesian Population
<div><p>Milk composition traits exhibit a complex genetic architecture with a small number of major quantitative trait loci (QTL) explaining a large fraction of the genetic variation and numerous QTL with minor effects. In order to identify QTL for milk fat percentage (FP) in the German Holstein-Friesian (HF) population, a genome-wide association study (GWAS) was performed. The study population consisted of 2327 progeny-tested bulls. Genotypes were available for 44,280 SNPs. Phenotypes in the form of estimated breeding values (EBVs) for FP were used as highly heritable traits. A variance components-based approach was used to account for population stratification. The GWAS identified four major QTL regions explaining 46.18% of the FP EBV variance. Besides two previously known FP QTL on BTA14 (<em>P</em> = 8.91×10−<sup>198</sup>) and BTA20 (<em>P</em> = 7.03×10<sup>−12</sup>) within <em>DGAT1</em> and <em>GHR</em>, respectively, we uncovered two additional QTL regions on BTA5 (<em>P</em> = 2.00×10<sup>−13</sup>) and BTA27 (<em>P</em> = 9.83×10<sup>−5</sup>) encompassing <em>EPS8</em> and <em>GPAT4</em>, respectively. <em>EPS8</em> and <em>GPAT4</em> are involved in lipid metabolism in mammals. Re-sequencing of <em>EPS8</em> and <em>GPAT4</em> revealed 50 polymorphisms. Genotypes for five of them were inferred for the entire study population. Two polymorphisms affecting potential transcription factor binding sites of <em>EPS8</em> (<em>P</em> = 1.40×10<sup>−12</sup>) and <em>GPAT4</em> (<em>P</em> = 5.18×10<sup>−5</sup>), respectively, were highly significantly associated with the FP EBV. Our results provide evidence that alteration of regulatory sites is an important aspect of genetic variation of complex traits in cattle.</p> </div
MOESM5 of Evaluation of the accuracy of imputed sequence variant genotypes and their utility for causal variant detection in cattle
Additional file 5: Table S1. Significantly associated variants at five fat percentage QTL. Variants located on chromosomes 5, 6, 11, 16 and 19 with P values less than 2.1 × 10−9. The positions of the variants correspond to the UMD3.1 assembly of the bovine genome. The substitution effects (beta, standard error of beta) are given for the alternative allele. The R2 value is the estimated accuracy of imputation from Minimac
Additional file 1: of A nonsense mutation in the COL7A1 gene causes epidermolysis bullosa in Vorderwald cattle
Annotation of variants compatible with recessive inheritance. Description: The functional consequences of 702 sequence variants compatible with recessive inheritance of epidermolysis bullosa were obtained from Ensembl using the Variant Effect Predictor tool. (TXT 383 kb
Partitioning of the genetic variance onto 30 chromosomes and four identified QTL regions on BTA5, 14, 20 and 27.
<p>The grey shaded bars indicate the fraction of EBV variance attributed to a particular chromosome and the corresponding standard error. The dark grey bars represent the fraction of EBV variance attributed to each of the four identified QTL regions. The black triangles represent the cumulative proportion of EBV variance explained.</p
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