Research papers of the week - May 9, 2022

Elżbieta Kaja, Adrian Lejman, Dawid Sielski, Mateusz Sypniewski, Tomasz Gambin, Mateusz Dawidziuk, Tomasz Suchocki, Paweł Golik, Marzena Wojtaszewska, Magdalena Mroczek, Maria Stępień, Joanna Szyda, Karolina Lisiak-Teodorczyk, Filip Wolbach, Daria Kołodziejska, Katarzyna Ferdyn, Maciej Dąbrowski, Alicja Woźna, Marcin Żytkiewicz, Anna Bodora-Troińska, Waldemar Elikowski, Zbigniew J. Król, Artur Zaczyński, Agnieszka Pawlak, Robert Gil, Waldemar Wierzba, Paula Dobosz, Katarzyna Zawadzka, Paweł Zawadzki, Paweł Sztromwasser

International Journal of Molecular Sciences

Ministerial score = 140.0
Journal Impact Factor (2020) = 5.924(Q1)

Although Slavic populations account for over 4.5% of world inhabitants, no centralised, open-source reference database of genetic variation of any Slavic population exists to date. Such data are crucial for clinical genetics, biomedical research, as well as archeological and historical studies. The Polish population, which is homogenous and sedentary in its nature but influenced by many migrations of the past, is unique and could serve as a genetic reference for the Slavic nations. In this study, we analysed whole genomes of 1222 Poles to identify and genotype a wide spectrum of genomic variation, such as small and structural variants, runs of homozygosity, mitochondrial haplogroups, and de novo variants. Common variant analyses showed that the Polish cohort is highly homogenous and shares ancestry with other European populations. In rare variant analyses, we identified 32 autosomal-recessive genes with significantly different frequencies of pathogenic alleles in the Polish population as compared to the non-Finish Europeans, including C2, TGM5, NUP93, C19orf12, and PROP1. The allele frequencies for small and structural variants, calculated for 1076 unrelated individuals, are released publicly as The Thousand Polish Genomes database, and will contribute to the worldwide genomic resources available to researchers and clinicians.

DOI:10.3390/ijms23094532

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