Spectrum of rare and common mitochondrial DNA variations from 1029 whole genomes of self-declared healthy individuals from India

IF 2.6 4区 生物学 Q2 BIOLOGY
Vishu Gupta , Bani Jolly , Rahul C. Bhoyar , Mohit Kumar Divakar , Abhinav Jain , Anushree Mishra , Vigneshwar Senthivel , Mohamed Imran , Vinod Scaria , Sridhar Sivasubbu
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Abstract

Mitochondrial disorders are a class of heterogeneous disorders caused by genetic variations in the mitochondrial genome (mtDNA) as well as the nuclear genome. The spectrum of mtDNA variants remains unexplored in the Indian population. In the present study, we have cataloged 2689 high confidence single nucleotide variants, small insertions and deletions in mtDNA in 1029 healthy Indian individuals. We found a major proportion (76.5 %) of the variants being rare (AF<=0.005) in the studied population. Intriguingly, we found two ‘confirmed’ pathogenic variants (m.1555 A>G and m.14484 T>C) with a frequency of ∼1 in 250 individuals in our dataset. The high carrier frequency underscores the need for screening of the mtDNA pathogenic mutations in newborns in India. Interestingly, our analysis also revealed 202 variants in our dataset which have been ‘reported’ in disease cases as per the MITOMAP database. Additionally, we found the frequency of haplogroup M (52.2 %) to be the highest among all the 18 top-level haplogroups found in our dataset. In comparison to the global population datasets, 20 unique mtDNA variants are found in the Indian population. We hope the whole genome sequencing based compendium of mtDNA variants along with their allele frequencies and heteroplasmy levels in the Indian population will drive additional genome scale studies for mtDNA. Furthermore, the identification of clinically relevant variants in our dataset will aid in better clinical interpretation of the variants in mitochondrial disorders.

来自印度 1029 个自称健康人的全基因组的罕见和常见线粒体 DNA 变异谱
线粒体疾病是由线粒体基因组(mtDNA)和核基因组的遗传变异引起的一类异质性疾病。印度人群中的 mtDNA 变异谱仍未得到研究。在本研究中,我们对 1029 名健康印度人的 2689 个高置信度单核苷酸变异、线粒体 DNA 中的小插入和缺失进行了编目。我们发现,在所研究的人群中,大部分变异(76.5%)是罕见的(AF<=0.005)。有趣的是,我们在数据集中发现了两个 "确认 "的致病变体(m.1555 A>G 和 m.14484 T>C),在 250 个个体中的频率为 1∼1。高频率的携带者突显了对印度新生儿进行 mtDNA 致病突变筛查的必要性。有趣的是,我们的分析还发现,在我们的数据集中,有 202 个变异在 MITOMAP 数据库的疾病病例中被 "报告 "过。此外,我们还发现单倍群 M 的频率(52.2%)是我们数据集中所有 18 个顶级单倍群中最高的。与全球人口数据集相比,印度人口中发现了 20 个独特的 mtDNA 变异。我们希望基于全基因组测序的印度人群 mtDNA 变异及其等位基因频率和异源水平汇编能推动更多的 mtDNA 基因组规模研究。此外,我们数据集中与临床相关的变异的鉴定将有助于更好地对线粒体疾病中的变异进行临床解释。
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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