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. 2022 Feb 2;45(1):e20210172.
doi: 10.1590/1678-4685-GMB-2021-0172. eCollection 2022.

Haplotypes of single cancer driver genes and their local ancestry in a highly admixed long-lived population of Northeast Brazil

Steffany Larissa Galdino Galisa  1 , Priscila Lima Jacob  1 , Allysson Allan de Farias  1   2 , Renan Barbosa Lemes  2 , Leandro Ucela Alves  1   2 , Júlia Cristina Leite Nóbrega  1 , Mayana Zatz  2 , Silvana Santos  1   3 , Mathias Weller  1   3
Affiliations

Haplotypes of single cancer driver genes and their local ancestry in a highly admixed long-lived population of Northeast Brazil

Steffany Larissa Galdino Galisa et al. Genet Mol Biol. .

Abstract

Admixed populations have not been examined in detail in cancer genetic studies. Here, we inferred the local ancestry of cancer-associated single nucleotide polymorphisms (SNPs) and haplotypes of a highly admixed Brazilian population. SNP array was used to genotype 73 unrelated individuals aged 80-102 years. Local ancestry inference was performed by merging genotyped regions with phase three data from the 1000 Genomes Project Consortium using RFmix. The average ancestry tract length was 9.12-81.71 megabases. Strong linkage disequilibrium was detected in 48 haplotypes containing 35 SNPs in 10 cancer driver genes. All together, 19 risk and eight protective alleles were identified in 23 out of 48 haplotypes. Homozygous individuals were mainly of European ancestry, whereas heterozygotes had at least one Native American and one African ancestry tract. Native-American ancestry for homozygous individuals with risk alleles for HNF1B, CDH1, and BRCA1 was inferred for the first time. Results indicated that analysis of SNP polymorphism in the present admixed population has a high potential to identify new ancestry-associated alleles and haplotypes that modify cancer susceptibility differentially in distinct human populations. Future case-control studies with populations with a complex history of admixture could help elucidate ancestry-associated biological differences in cancer incidence and therapeutic outcomes.

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Conflict of interest statement

Conflict of Interest: The authors declare no potential conflicts of interest.

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