Unknown

Dataset Information

Hi-MC: a novel method for high-throughput mitochondrial haplogroup classification.


ABSTRACT: Effective approaches for assessing mitochondrial DNA (mtDNA) variation are important to multiple scientific disciplines. Mitochondrial haplogroups characterize branch points in the phylogeny of mtDNA. Several tools exist for mitochondrial haplogroup classification. However, most require full or partial mtDNA sequence which is often cost prohibitive for studies with large sample sizes. The purpose of this study was to develop Hi-MC, a high-throughput method for mitochondrial haplogroup classification that is cost effective and applicable to large sample sizes making mitochondrial analysis more accessible in genetic studies. Using rigorous selection criteria, we defined and validated a custom panel of mtDNA single nucleotide polymorphisms that allows for accurate classification of European,

SUBMITTER: Smieszek S 

PROVIDER: S-EPMC6022720 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature