Mitochondrial DNA variation across 56,434 individuals in gnomAD.
Mitochondrial DNA variation across 56,434 individuals in gnomAD.
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DOI:
10.1101/gr.276013.121
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发表时间:
2022-03
期刊:
影响因子:
7
通讯作者:
Calvo SE
中科院分区:
文献类型:
--
作者:
Laricchia KM;Lake NJ;Watts NA;Shand M;Haessly A;Gauthier L;Benjamin D;Banks E;Soto J;Garimella K;Emery J;Genome Aggregation Database Consortium;Rehm HL;MacArthur DG;Tiao G;Lek M;Mootha VK;Calvo SE
Genomic databases of allele frequency are extremely helpful for evaluating clinical variants of unknown significance; however, until now, databases such as the Genome Aggregation Database (gnomAD) have focused on nuclear DNA and have ignored the mitochondrial genome (mtDNA). Here, we present a pipeline to call mtDNA variants that addresses three technical challenges: (1) detecting homoplasmic and heteroplasmic variants, present, respectively, in all or a fraction of mtDNA molecules; (2) circular mtDNA genome; and (3) misalignment of nuclear sequences of mitochondrial origin (NUMTs). We observed that mtDNA copy number per cell varied across gnomAD cohorts and influenced the fraction of NUMT-derived false-positive variant calls, which can account for the majority of putative heteroplasmies. To avoid false positives, we excluded contaminated samples, cell lines, and samples prone to NUMT misalignment due to few mtDNA copies. Furthermore, we report variants with heteroplasmy ≥10%. We applied this pipeline to 56,434 whole-genome sequences in the gnomAD v3.1 database that includes individuals of European (58%), African (25%), Latino (10%), and Asian (5%) ancestry. Our gnomAD v3.1 release contains population frequencies for 10,850 unique mtDNA variants at more than half of all mtDNA bases. Importantly, we report frequencies within each nuclear ancestral population and mitochondrial haplogroup. Homoplasmic variants account for most variant calls (98%) and unique variants (85%). We observed that 1/250 individuals carry a pathogenic mtDNA variant with heteroplasmy above 10%. These mtDNA population allele frequencies are freely accessible and will aid in diagnostic interpretation and research studies.
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影响因子:
64.8
作者:
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者:
Marchini J
影响因子:
7.7
作者:
Ju YS;Alexandrov LB;Gerstung M;Martincorena I;Nik-Zainal S;Ramakrishna M;Davies HR;Papaemmanuil E;Gundem G;Shlien A;Bolli N;Behjati S;Tarpey PS;Nangalia J;Massie CE;Butler AP;Teague JW;Vassiliou GS;Green AR;Du MQ;Unnikrishnan A;Pimanda JE;Teh BT;Munshi N;Greaves M;Vyas P;El-Naggar AK;Santarius T;Collins VP;Grundy R;Taylor JA;Hayes DN;Malkin D;ICGC Breast Cancer Group;ICGC Chronic Myeloid Disorders Group;ICGC Prostate Cancer Group;Foster CS;Warren AY;Whitaker HC;Brewer D;Eeles R;Cooper C;Neal D;Visakorpi T;Isaacs WB;Bova GS;Flanagan AM;Futreal PA;Lynch AG;Chinnery PF;McDermott U;Stratton MR;Campbell PJ
通讯作者:
Campbell PJ
影响因子:
11.2
作者:
Gorman GS;Schaefer AM;Ng Y;Gomez N;Blakely EL;Alston CL;Feeney C;Horvath R;Yu-Wai-Man P;Chinnery PF;Taylor RW;Turnbull DM;McFarland R
通讯作者:
McFarland R
影响因子:
5.8
作者:
Li, Heng
通讯作者:
Li, Heng
影响因子:
64.8
作者:
CANN, RL;STONEKING, M;WILSON, AC
通讯作者:
WILSON, AC