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Population sequencing data reveal a compendium of mutational processes in the human germ line.


ABSTRACT: Biological mechanisms underlying human germline mutations remain largely unknown. We statistically decompose variation in the rate and spectra of mutations along the genome using volume-regularized nonnegative matrix factorization. The analysis of a sequencing dataset (TOPMed) reveals nine processes that explain the variation in mutation properties between loci. We provide a biological interpretation for seven of these processes. We associate one process with bulky DNA lesions that are resolved asymmetrically with respect to transcription and replication. Two processes track direction of replication fork and replication timing, respectively. We identify a mutagenic effect of active demethylation primarily acting in regulatory regions and a mutagenic effect of long interspersed nuclear elements. We localize a mutagenic process specific to oocytes from population sequencing data. This process appears transcriptionally asymmetric.

SUBMITTER: Seplyarskiy VB 

PROVIDER: S-EPMC9217108 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Population sequencing data reveal a compendium of mutational processes in the human germ line.

Seplyarskiy Vladimir B VB   Soldatov Ruslan A RA   Koch Evan E   McGinty Ryan J RJ   Goldmann Jakob M JM   Hernandez Ryan D RD   Barnes Kathleen K   Correa Adolfo A   Burchard Esteban G EG   Ellinor Patrick T PT   McGarvey Stephen T ST   Mitchell Braxton D BD   Vasan Ramachandran S RS   Redline Susan S   Silverman Edwin E   Weiss Scott T ST   Arnett Donna K DK   Blangero John J   Boerwinkle Eric E   He Jiang J   Montgomery Courtney C   Rao D C DC   Rotter Jerome I JI   Taylor Kent D KD   Brody Jennifer A JA   Chen Yii-Der Ida YI   de las Fuentes Lisa L   Hwu Chii-Min CM   Rich Stephen S SS   Manichaikul Ani W AW   Mychaleckyj Josyf C JC   Palmer Nicholette D ND   Smith Jennifer A JA   Kardia Sharon L R SLR   Peyser Patricia A PA   Bielak Lawrence F LF   O'Connor Timothy D TD   Emery Leslie S LS   Gilissen Christian C   Wong Wendy S W WSW   Kharchenko Peter V PV   Sunyaev Shamil S  

Science (New York, N.Y.) 20210812 6558


Biological mechanisms underlying human germline mutations remain largely unknown. We statistically decompose variation in the rate and spectra of mutations along the genome using volume-regularized nonnegative matrix factorization. The analysis of a sequencing dataset (TOPMed) reveals nine processes that explain the variation in mutation properties between loci. We provide a biological interpretation for seven of these processes. We associate one process with bulky DNA lesions that are resolved  ...[more]

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