Kesenjangan Antara Kebutuhan Dan Kemampuan Untuk Mendapatkan Perawatan Gigi, Riskesdas 2007

.Analysis of gap between need and demand for dental treatment was conducted using indicatorsof Research Basic Health(RBH) 2007 e.g. need for dental treatment, perceived dental illness prevalence, utilization of dental professional services, and the ability to access dental treatment. The result of theanalysis shows that only 9% of Indonesian population who have dental problems seek for dental profesional services. This gap occurs in all age groups. Although the demand appears to increase on the higher age groups, the demand was still low (less than 13.8%). ComparingDMF-T index from NationalHousehold Health Survey(NHHS) 1995 toNHHS 2001, the promotion program showspossitive effect.However, comparingNHHS 2001 toRBH 2007 the effect is not shown. The trend ofDMF-T index on ageof 12, 15, and 18, fromNHHS 1995,NHHS 2001, andRBH 2007 showed no significant different, no difference on intercept incidence. This means that there were no protective effect.RBH 2007 showed thatthe motivation of population to restore their dental caries is very low, only 1.5 percent. A total of 75 percent of population suffers late treatment to the professional dental services so that the teeth must beextracted. NHHS 1995, NHHS 2001 and RBH 2007 showed the effects on non-functioning of earlydetection and promt treatment (Performance Treatment Index), small treatment (Required Treatment Index)and high late treatment (Missing Index)

学会抄録

A description of the results of the cross platform (385 K CGH and SNP50 chip) verification of CNV regions [72, 73]. (PDF 8 kb

Variant calls from 19 Atlantic salmon

Variant calls from 19 Atlantic salmon against Solmo salar reference (ICSASG_v2 ) and a BAC contig covering the sdY region (NCBI accession KP898412

GWAS_SNP_Genotypes

SNP genotypes formatted as ped and map files for analysis using PLINK v1.7 or later

La Semaine de la Riviera : revue hebdomadaire illustrée, théâtres, concerts, mondanités, sports, conférences, expositions ["puis" expositions, tourisme]

21 décembre 19231923/12/21 (A10,N46)-1923/12/21.Appartient à l’ensemble documentaire : PACA

MOESM2 of Compression distance can discriminate animals by genetic profile, build relationship matrices and estimate breeding values

Additional file 2: Figure S1. Comparison of GRM and NCD across the full parameter space including self–self pairs. This figure illustrates the relationship between GRM and NCD across the full parameter space

Imputed and non imputed genotypes

Sample list and characteristics, imputed and non imputed vcf files. "h2dom.tar.gz" contains 3 files: sample.txt contains sample description (also below); countries are ISO codes. all.gt.vcf.gz contains vcf file with all and phased imputed SNPs. all.vcf.gz contains merged vcf file with all non imputed SNPs as missing (./.

Convergence candidate regions (CCR) for ovine dairy selection sweeps identified in this study.

<p>The interval of each region (in bp) is based on the sheep genome reference sequence v2.0 (<a href="http://www.livestockgenomics.csiro.au/cgi-bin/gbrowse/oarv2.0/" target="_blank">http://www.livestockgenomics.csiro.au/cgi-bin/gbrowse/oarv2.0/</a>). The corresponding orthologous bovine genomic intervals are based on the bovine genome reference sequence UMD 3.1 (<a href="http://www.ensembl.org/Bos_taurus/Info/Index" target="_blank">http://www.ensembl.org/Bos_taurus/Info/Index</a>). The positional candidate genes that map within the bovine candidate range and that are included as candidate genes for milk production and mastitis traits in the database provided by Ogorevc et al. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094623#pone.0094623-Ogorevc1" target="_blank">[22]</a> are indicated as functional candidate genes. The affected trait and CattleQTLdb reference for previously reported cattle QTL that map within the bovine candidate genomic regions and that influence milk production traits or other functional traits related to dairy production are also indicated.</p>1<p>Other candidate genes. This category includes two types of genes:</p><p>–Those that although are not included in the Ogorevc et al. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094623#pone.0094623-Ogorevc1" target="_blank">[22]</a> database may be considered as candidate genes in relation to milk production related traits based on other studies.</p><p>–Those that are likely to be related to non-dairy selection signatures such as morphological traits and coat colour features.</p>2<p>CattleQTLdb identifier: Search reference number at <a href="http://www.animalgenome.org/cgi-bin/QTLdb/BT/search" target="_blank">http://www.animalgenome.org/cgi-bin/QTLdb/BT/search</a> to find complete details about QTL reported in the orthologous region of the corresponding sheep CCR identified in this study.</p>3<p>Number of positional candidate genes extracted from the orthologous bovine region using BioMart for each of the labeled CCRs (based on <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094623#pone.0094623.s003" target="_blank">Table S3</a>).</p

Genome-wide distribution of F_ST values for the six analysed breed pairs.

<p>The level of genetic differentiation, measured by F_ST, was estimated within each dairy – non-dairy breed pair¹, and averaged in sliding windows of 9 SNPs (F_ST-9SNPW) across the genome: The horizontal line indicates the top 0.5.th percent threshold considered for the F_ST-distributions. These raw results were used to identify F_ST-based candidate regions (F_ST-CRs) when overlapping significant selection signals (allowing gaps up to 2-Mb) were identified between different pairs. ¹Breed pairs analysed: a) Chios-Sakiz, b) Churra-Ojalada; c) Comisana-Australian Poll Merino; d) East Friesian Brown -Finnsheep, e) Milk Lacaune-Australian Poll Merino f) Milk Lacaune-MeatLacune.</p

Convergence candidate regions (CCR) for selection signals identified for dairy sheep.

<p>A CCR region was defined when overlapping selection regions identified by the genetic differentiation analysis (in at least two breed pairs), averaged for a 9-SNP window size (F_ST), and by at least one of the two heterozygosity-based analysis methodologies (in at least two breeds): observed heterozygosity, averaged for a 9-SNP window size (ObsHtz), and regression analysis, considering a 10-Mb bracket size (Regression).</p><p>^*For Regression results, this indicates the closest marker to the Start/End position.</p