Ozlem Bulbul

Dr. Ozlem Bulbul

Istanbul University-Cerrahpasa, Istanbul, İstanbul, Turkey (Türkiye)
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2013 in Forensic Science International: Genetics
Verified
Journal Article
Closed access
CPChristopher Phillips
Christopher Phillips
AFAna Freire-Aradas
Ana Freire-Aradas
AKA.K. Kriegel
A.K. Kriegel
MFM. Fondevila
M. Fondevila
OBOzlem Bulbul
Ozlem Bulbul
VLVictoria Lareu
Victoria Lareu

1 July 2016 in Forensic Science International: Genetics
Verified
Journal Article
Closed access
CLCaixia Li
Caixia Li
APAndrew J. Pakstis
Andrew J. Pakstis
LJLi Jiang
Li Jiang
YWYi-Liang Wei
Yi-Liang Wei
QSQi-Fan Sun
Qi-Fan Sun
KKKenneth K. Kidd
Kenneth K. Kidd

1 July 2018 in Forensic Science International: Genetics
Verified
Journal Article
Closed access
OBOzlem Bulbul
Ozlem Bulbul
WSWilliam C. Speed
William C. Speed
CGCemal Gurkan
Cemal Gurkan
USUsha Soundararajan
Usha Soundararajan
HRHaseena Rajeevan
Haseena Rajeevan
KKKenneth K. Kidd
Kenneth K. Kidd

1 November 2015 in Forensic Science International: Genetics
Verified
Journal Article
Open access
APAndrew J. Pakstis
Andrew J. Pakstis
EHEva Haigh
Eva Haigh
LCLotfi Cherni
Lotfi Cherni
AEAmel Ben Ammar ElGaaied
Amel Ben Ammar ElGaaied
ABAlison Barton
Alison Barton
KKKenneth K. Kidd
Kenneth K. Kidd
Ancestry inference for a person using a panel of SNPs depends on the variation of frequencies of those SNPs around the world and the amount of reference data available for calculation/comparison. The Kidd Lab panel of 55 AISNPs has been incorporated in commercial kits by both Life Technologies and Illumina for massively parallel sequencing. Therefore, a larger set of reference populations will be useful for researchers using those kits. We have added reference population allele frequencies for 52 population samples to the 73 previously entered so that there are now allele frequencies publicly available in ALFRED and FROG-kb for a total of 125 population samples.


1 July 2016 in Forensic Science International: Genetics
Verified
Journal Article
Open access
OBOzlem Bulbul
Ozlem Bulbul
LCLotfi Cherni
Lotfi Cherni
HKHoussein Khodjet-El-Khil
Houssein Khodjet-El-Khil
HRHaseena Rajeevan
Haseena Rajeevan
KKKenneth K. Kidd
Kenneth K. Kidd
Many different published sets of single nucleotide polymorphisms (SNPs) and/or insertion-deletion polymorphisms (InDels) can serve as ancestry informative markers (AIMs) to distinguish among continental regions of the world. For a focus on Southwest Asian ancestry we chose to start with the Kidd Lab panel of 55 ancestry-informative SNPs (AISNPs) because it already provided good global reference data (FROG-kb: frog.med.yale.edu) in a set of 73 population samples distinguishing at least 8 biogeographic clusters of populations. This panel serves as a good first tier ancestry panel. We are now interested in identifying region-specific second tier panels for more refined distinction among populations within each of the global regions. We have begun studying the global region centered on Southwest Asia and the region encompassing the Mediterranean Sea. We have incorporated 10 populations from North Africa, Turkey and Iran and included 31 of the original 73 populations and eleven 1000 Genomes Phase3 populations for a total of 3129 individuals from 52 populations, all typed for the 55 AISNPs. We have then identified the subset of the 55 AISNPs that are most informative for this region of the world using Heatmap, Fst, and Informativeness analyses to eliminate those SNPs essentially redundant or providing no information among populations in this region, reducing the number of SNPs to 32. STRUCTURE and PCA analyses show the remaining 32 SNPs identify the North African cluster and appropriately include the Turkish and Iranian samples with the Southwest Asian cluster. These markers provide the basis for building an improved, optimized panel of AISNPs that provides additional information on differences among populations in this part of the world. The data have also allowed an examination of the accuracy of the ancestry inference based on 32 SNPs for the newly studied populations from this region. The likelihood ratio approach to ancestry inference embodied in FROG-kb provides highly significant population assignments within one order of magnitude for each individual in the Turkish, Iranian, and Tunisian populations.