MTCards
MTCards catalogs mitochondrial genome variants from whole-genome sequencing of 3,241 Chinese individuals to support analysis of mtDNA variation, haplogroups, heteroplasmy, purifying selection, and mtDNA copy-number correlations.
Key Features:
- Cohort and data source: Whole-genome sequencing (WGS) of 3,241 Chinese individuals underlies the database.
- Extensive Variant Cataloging: Identifies 3,892 mtDNA variants with 86% classified as rare.
- Purifying Selection Analysis: Reports mitochondrial dN/dS ratios significantly less than 1, higher dN/dS in heteroplasmies than in homoplasmies, and enrichment of indels and predicted deleterious variants in heteroplasmies.
- Haplogroup Frequency Distribution: Provides frequencies for major haplogroups M (20.27%), D (20.15%), B (18.51%), and F (16.45%) and notes variation in the number of variants per individual across haplogroups.
- mtDNA copy-number correlations: Documents a negative correlation between mtDNA copy number and age and a positive correlation with female sex.
Scientific Applications:
- Study of mitochondrial-related diseases: Enables analysis of mtDNA variants and predicted deleterious mutations relevant to disease etiology.
- Aging research: Supports investigation of heteroplasmy, purifying selection, and mtDNA copy-number changes with age.
- Population and evolutionary genetics: Facilitates exploration of haplogroup distributions, variant frequency spectra, and selection dynamics in the Chinese population.
Methodology:
Built from whole-genome sequencing (WGS) data of 3,241 individuals with identification and characterization of 3,892 mtDNA variants, dN/dS ratio analysis, classification of heteroplasmies versus homoplasmies, detection of indels and prediction of deleterious variants, haplogroup frequency calculation, and mtDNA copy-number estimation with correlation analyses.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 5/19/2022
- Last Updated:
- 5/19/2022
Operations
Data Inputs & Outputs
Genome indexing
Inputs
Outputs
Publications
Wang Y, Zhao G, Fang Z, Pan H, Zhao Y, Wang Y, Zhou X, Wang X, Luo T, Zhang Y, Wang Z, Chen Q, Dong L, Huang Y, Zhou Q, Xia L, Li B, Guo J, Xia K, Tang B, Li J. Genetic landscape of human mitochondrial genome using whole-genome sequencing. Human Molecular Genetics. 2021;31(11):1747-1761. doi:10.1093/hmg/ddab358. PMID:34897451.