scholarly journals Turkish population data on the HLA-DQα, LDLR, GYPA, HBGG, D7S8, and GC loci

1997 ◽  
Vol 111 (1) ◽  
pp. 43-45 ◽  
Author(s):  
B. Vural ◽  
E. Atliog˘lu ◽  
Ö. Kolusayin ◽  
I. Togan ◽  
S. Büyükdevrim ◽  
...  
Keyword(s):  
Population Data ◽  
Turkish Population ◽  
Hla Dqα

Türkiye'de iller arası göçlerin nodexl ile sosyal ağ analizi

2017 ◽  
Vol 4 (1) ◽  
pp. 82-109 ◽  
Author(s):  
Mustafa Yakar ◽  
Fatma Sert Eteman
Keyword(s):  
Network Structure ◽  
Population Data ◽  
Single Mode ◽  
Turkish Population ◽  
Place Of Birth ◽  
Place Of Residence ◽  
Migration Flow ◽  
Population Structures ◽  
The Republic ◽  
Provincial Scale

Türkiye'de 20.yy'ın ortasından itibaren başlayan iç göçler zamanla kurulan göçmen ağları ile süreklilik kazanmış ve ülke içinde nüfusun kır-kent dağılımını değiştirecek boyutlara erişmiştir. Araştırma, göçün doğum yeri verisinden hareketle ikamet edilen yerdeki nüfus miktarına göre alınan ve verilen göç akışının büyüklüğünü iller ölçeğinde yönlü ağlar kullanılarak analiz edilmesini amaçlamaktadır. Araştırmada, TÜİK tarafından yayınlanmış olan 2015 yılına ait, iller ölçeğinde doğum yerine göre ikamet yeri verisi kullanılmıştır. Göçün kaynak ve hedef sahaları arasındaki akışını incelemek için NodeXL ile oluşturulan tek modlu, yönlü ve ağırlıklandırılmış göç ağının istatistiksel olarak tam ağ yapısına sahip olduğu görülmüştür. Ağ grafiklerinden ve istatistiklerinden göç hareketinin doğudan batıya doğru gerçekleştiği ve İstanbul’ un ülkenin tamamına hâkim bir görünüme sahip olduğu anlaşılmaktadır. Türkiye nüfusunun cumhuriyet tarihi içinde geçirdiği iç göç süreçleriyle birlikte ülke içinde kurulmuş ve oldukça karmaşık bir görünüme sahip ağ yapısının olduğu ileri sürülebilir. Kurulan ağlar göçlerin devamını sağladığı gibi, göçün yöneldiği merkezlerde daha heterojen nüfus yapılarının ortaya çıkmasına yol açmıştır.ABSTRACT IN ENGLISHSocial Network Analysis of Migration Inter Provinces In Turkey with Nodexl The internal migrations which started in Turkey in the middle of the 20th century have gained permanency with the migration networks that were established at the time and reached dimensions which have the potential to change the rural-urban distribution of the population within the country.  The study aims to analyze the magnitude of the incoming and outgoing migration flow at the provincial scale based on the population data for place of birth according to place of residence by using directional networks. Place of residence according to place of birth at the provincial scale data for 2015 published by TÜİK was used in the study. A single mode, directional and weighted migration network created with NodeXL to examine the migration flows between the source and target has a statistically complete network structure. The network graphs and statistics show that the migrations have taken place from east to west and Istanbul has a view as dominant of the country. It can be argued that internal network structure of Turkish population has  a very complex view because of internal migration in the history of the republic. The established networks have enabled the continuation of migration and have manifested as the emergence of more heterogeneous population structures in centers where migration had been directed.

Turkish Population Data for 15 STR Loci by Multiplex PCR

2005 ◽  
Vol 50 (3) ◽  
pp. 1-2 ◽  
Author(s):  
Ilknur Yavuz ◽  
Aysegul Topal Sarikaya
Keyword(s):  
Multiplex Pcr ◽  
Population Data ◽  
Turkish Population ◽  
Str Loci

Turkish population data on the short tandem repeat locus TPOX

1998 ◽  
Vol 111 (2) ◽  
pp. 105-106 ◽  
Author(s):  
B. Vural ◽  
M. Poda ◽  
E. Atlioglu ◽  
Ö. Kolusayin ◽  
A. Cenani ◽  
...  
Keyword(s):  
Tandem Repeat ◽  
Short Tandem Repeat ◽  
Population Data ◽  
Turkish Population ◽  
Short Tandem Repeat Locus ◽  
Tandem Repeat Locus ◽  
Repeat Locus ◽  
Short Tandem

Meta-analysis and single-center experience on the comprehensive genomic characterization and landscape of BRCA1 and BRCA2 in Turkey.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13611-e13611
Author(s):  
Atil Bisgin ◽  
Ibrahim Boga ◽  
Ozge Sonmezler ◽  
Cem Mujde ◽  
Abdullah Hanta ◽  
...  
Keyword(s):  
Germ Line ◽  
Meta Analysis ◽  
Management Strategies ◽  
Population Data ◽  
Turkish Population ◽  
Geographic Region ◽  
Molecular Heterogeneity ◽  
Brca1 And Brca2 ◽  
Bioinformatics Analyses ◽  
Recurrent Mutations

e13611 Background: The detection of BRCA1 and BRCA2 mutations both somatic and germ-line became essential for the clinical management strategies of different cancers. Aiming at the identification of common and recurrent mutations that answer the questions about the association between a variant and phenotype, we collected the data of 1126 probands with pathogenic, likely pathogenic variants and variants of uncertain significance (VUS) distributed across 22 Turkish cities. Methods: Peripheral blood samples from 1126 individuals were collected and sequenced via the GeneReader (Qiagen, Hilden, Germany) and MiSeq (Illumina, San Diego, USA) NGS systems for BRCA1/ BRCA2 genes. QCI-Analyze and QCI-Interpret bioinformatics tools were used for bioinformatics analyses. Results: Total of 68 and 108 distinct variants were identified in BRCA1 and BRCA2 genes, respectively. Twenty novel variants were identified in both genes, while BRCA2 had higher heterogeneity. However, there had been no any recurrent mutations identified in any certain geographic region. Among all distinct mutations identified 11.9% were novel, corresponding to 12.8% of all carriers and 28.4% were VUS, corresponding to 32.1% of all carriers. Conclusions: This study presented with three important outcomes. First, a significant molecular heterogeneity in BRCAs among Turkish carriers were confirmed with 15.63% positivity rate. Most notably as the second, this is the first study showing the profiles of recurrent and common mutations that might be unique to Turkish landscape. In conclusion, it is critical to identify all the genetic variants, to aid in diagnosis, prevention, prognosis and treatment. Third and the last, the identification of novel mutations in BRCAs is a vital information that should be shared with mutation databases, in order to use for further clinical interpretation of Turkish population. Key words: Landscape of BRCA1/2, genetic testing, BRCA profiling, population data.

Turkish Population Data on the CTTV STR Loci

2003 ◽  
Vol 48 (1) ◽  
pp. 2002248 ◽  
Author(s):  
Gülay Çetinkaya ◽  
Űner Űlküer ◽  
İnci Togan
Keyword(s):  
Population Data ◽  
Turkish Population ◽  
Str Loci

Population data of the HLA DQα locus in Dutch caucasians

1993 ◽  
Vol 105 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Ate D. Kloosterman ◽  
Bruce Budowe ◽  
Erin L. Riley
Keyword(s):  
Population Data ◽  
Hla Dqα
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