Published September 8, 2021 | Version B (revised version of RC-2021-00853)

Data and software supporting the manuscript 'The population frequency of human mitochondrial DNA variants is highly dependent upon mutational bias'

Authors/Creators

  • 1. University of Helsinki

Description

Next-generation sequencing can quickly reveal genetic variation potentially linked to heritable disease. As databases encompassing human variation continue to expand, rare variants have been of high interest, since the frequency of a variant is expected to be low if the genetic change leads to a loss of fitness or fecundity. However, the use of variant frequency when seeking genomic changes linked to disease remains very challenging. Here, we explore the role of selection in controlling human variant frequency using the HelixMT database, which encompasses hundreds of thousands of mitochondrial DNA (mtDNA) samples. We find that a substantial number of synonymous substitutions, which have no effect on protein sequence, were never encountered in this large study, while many other synonymous changes are found at very low frequencies. Further analyses of human and mammalian mtDNA datasets indicate that the population frequency of synonymous variants is predominantly determined by mutational biases rather than by strong selection acting upon nucleotide choice. Our work has important implications that extend to the interpretation of variant frequency for non-synonymous substitutions. 

 

Notes

See: https://doi.org/10.1101/2021.05.12.443844

Files

four_fold_P3_ALL.csv

Files (109.4 MB)

Name Size Download all
md5:cb4dab26e6dac2469c59caf9ea1d7203
9.2 kB Download
md5:a981c41572980cda1836d924a3fc8cfb
91.8 kB Download
md5:49c37dc4ba99c5d54dba79d4234e58d8
3.4 kB Download
md5:21f3511357a171ad5a9dd29c2f97fdc3
67.7 kB Download
md5:849411d251937258122290dc3d23a8b7
12.7 kB Preview Download
md5:1c1dad7208bbbf13b6fe5839dcb74c6f
10.4 kB Download
md5:8f1e132322232baa81c9d6acd2a74341
12.2 kB Download
md5:ff8af451d3a461dc8d2b70ce5316b486
12.4 kB Download
md5:62ac0c68280e6e05ff065fc524f8aec0
12.4 kB Download
md5:3d39f8542b4284796dd37bb5a10372e2
12.6 kB Download
md5:013d86c4c2efc196e4e43c3089fca5f5
12.4 kB Download
md5:60d789dd3356082c956100748758b9c5
12.4 kB Download
md5:fe445993721ee3d2109c6ccae054e428
12.6 kB Download
md5:8408abc046e38f18c789d205bf343298
20.4 kB Download
md5:67464d5334a513ee9ec62fefdad9098d
54.5 MB Download
md5:61f93a069f29a11e212207ca3ccf9f38
54.4 MB Download
md5:f50c31432feede6b0adc97355163a242
3.9 kB Download
md5:50a7c0d5840cec1610415f43bff357ad
64.4 kB Download
md5:23e1ff20a244a19ae04e6d6a4841713d
74.4 kB Download
md5:0f1f9d710ffa620a92bec3b992e50f02
12.4 kB Download
md5:b2e5cc30a3fe6e3bb31b5d91e400bb58
6.0 kB Download
md5:2250725c0ed0863db793ac1630814652
6.0 kB Preview Download
md5:2ac3a43e79c18a94227b003d009a6b15
6.4 kB Preview Download

Additional details

Related works

Is cited by
Preprint: 10.1101/2021.05.12.443844 (DOI)

Funding

European Commission
RevMito - Deciphering and reversing the consequences of mitochondrial DNA damage 637649