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1.
PLoS Genet ; 15(9): e1008385, 2019 09.
Article in English | MEDLINE | ID: mdl-31550250

ABSTRACT

Iran, despite its size, geographic location and past cultural influence, has largely been a blind spot for human population genetic studies. With only sparse genetic information on the Iranian population available, we pursued its genome-wide and geographic characterization based on 1021 samples from eleven ethnic groups. We show that Iranians, while close to neighboring populations, present distinct genetic variation consistent with long-standing genetic continuity, harbor high heterogeneity and different levels of consanguinity, fall apart into a cluster of similar groups and several admixed ones and have experienced numerous language adoption events in the past. Our findings render Iran an important source for human genetic variation in Western and Central Asia, will guide adequate study sampling and assist the interpretation of putative disease-implicated genetic variation. Given Iran's internal genetic heterogeneity, future studies will have to consider ethnic affiliations and possible admixture.


Subject(s)
Ethnicity/genetics , Genetic Variation/genetics , Adult , Aged , Consanguinity , Female , Genetics, Population/methods , Genome-Wide Association Study/methods , Humans , Iran/ethnology , Male , Middle Aged
2.
Hum Mutat ; 40(11): 1968-1984, 2019 11.
Article in English | MEDLINE | ID: mdl-31343797

ABSTRACT

Considering the application of human genome variation databases in precision medicine, population-specific genome projects are continuously being developed. However, the Middle Eastern population is underrepresented in current databases. Accordingly, we established Iranome database (www.iranome.com) by performing whole exome sequencing on 800 individuals from eight major Iranian ethnic groups representing the second largest population of Middle East. We identified 1,575,702 variants of which 308,311 were novel (19.6%). Also, by presenting higher frequency for 37,384 novel or known rare variants, Iranome database can improve the power of molecular diagnosis. Moreover, attainable clinical information makes this database a good resource for classifying pathogenicity of rare variants. Principal components analysis indicated that, apart from Iranian-Baluchs, Iranian-Turkmen, and Iranian-Persian Gulf Islanders, who form their own clusters, rest of the population were genetically linked, forming a super-population. Furthermore, only 0.6% of novel variants showed counterparts in "Greater Middle East Variome Project", emphasizing the value of Iranome at national level by releasing a comprehensive catalog of Iranian genomic variations and also filling another gap in the catalog of human genome variations at international level. We introduce Iranome as a resource which may also be applicable in other countries located in neighboring regions historically called Greater Iran (Persia).


Subject(s)
Computational Biology/methods , Databases, Genetic , Ethnicity/genetics , Genome, Human , Genomics , Web Browser , Genetic Variation , Genetics, Population , Genomics/methods , Genotype , Geography , Humans , Iran , Middle East , Molecular Sequence Annotation
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