A map of copy number variations in the Tunisian population: a valuable tool for medical genomics in North Africa.
A map of copy number variations in the Tunisian population: a valuable tool for medical genomics in North Africa.
复制标题
DOI:
10.1038/s41525-020-00166-5
复制
发表时间:
2021-01-08
影响因子:
5.3
通讯作者:
Abdelhak S
中科院分区:
文献类型:
--
作者:
Romdhane L;Mezzi N;Dallali H;Messaoud O;Shan J;Fakhro KA;Kefi R;Chouchane L;Abdelhak S
Copy number variation (CNV) is considered as the most frequent type of structural variation in the human genome. Some CNVs can act on human phenotype diversity, encompassing rare Mendelian diseases and genomic disorders. The North African populations remain underrepresented in public genetic databases in terms of single-nucleotide variants as well as for larger genomic mutations. In this study, we present the first CNV map for a North African population using the Affymetrix Genome-Wide SNP (single-nucleotide polymorphism) array 6.0 array genotyping intensity data to call CNVs in 102 Tunisian healthy individuals. Two softwares, PennCNV and Birdsuite, were used to call CNVs in order to provide reliable data. Subsequent bioinformatic analyses were performed to explore their features and patterns. The CNV map of the Tunisian population includes 1083 CNVs spanning 61.443 Mb of the genome. The CNV length ranged from 1.017 kb to 2.074 Mb with an average of 56.734 kb. Deletions represent 57.43% of the identified CNVs, while duplications and the mixed loci are less represented. One hundred and three genes disrupted by CNVs are reported to cause 155 Mendelian diseases/phenotypes. Drug response genes were also reported to be affected by CNVs. Data on genes overlapped by deletions and duplications segments and the sequence properties in and around them also provided insights into the functional and health impacts of CNVs. These findings represent valuable clues to genetic diversity and personalized medicine in the Tunisian population as well as in the ethnically similar populations from North Africa.
登录
查看更多内容
影响因子:
7
作者:
Boyle AP;Hong EL;Hariharan M;Cheng Y;Schaub MA;Kasowski M;Karczewski KJ;Park J;Hitz BC;Weng S;Cherry JM;Snyder M
通讯作者:
Snyder M
影响因子:
3.9
作者:
de Ligt, Joep;Boone, Philip M.;Hehir-Kwa, Jayne Y.
通讯作者:
Hehir-Kwa, Jayne Y.
影响因子:
7
作者:
Fiegler, Heike;Redon, Richard;Carter, Nigel P.
通讯作者:
Carter, Nigel P.
影响因子:
30.8
作者:
Cooper, Gregory M.;Zerr, Troy;Kidd, Jeffrey M.;Eichler, Evan E.;Nickerson, Deborah A.
通讯作者:
Nickerson, Deborah A.
影响因子:
30.8
作者:
Falchi M;El-Sayed Moustafa JS;Takousis P;Pesce F;Bonnefond A;Andersson-Assarsson JC;Sudmant PH;Dorajoo R;Al-Shafai MN;Bottolo L;Ozdemir E;So HC;Davies RW;Patrice A;Dent R;Mangino M;Hysi PG;Dechaume A;Huyvaert M;Skinner J;Pigeyre M;Caiazzo R;Raverdy V;Vaillant E;Field S;Balkau B;Marre M;Visvikis-Siest S;Weill J;Poulain-Godefroy O;Jacobson P;Sjostrom L;Hammond CJ;Deloukas P;Sham PC;McPherson R;Lee J;Tai ES;Sladek R;Carlsson LM;Walley A;Eichler EE;Pattou F;Spector TD;Froguel P
通讯作者:
Froguel P