Person: Francioli, Laurent
Email Address
AA Acceptance Date
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
First Name
Name
Search Results
Publication A framework for the detection of de novo mutations in family-based sequencing data
(Nature Publishing Group, 2016) Francioli, Laurent; Cretu-Stancu, Mircea; Garimella, Kiran V; Fromer, Menachem; Kloosterman, Wigard P; Wijmenga, Cisca; Investigator, Principal; Swertz, Morris A; van Duijn, Cornelia M; Boomsma, Dorret I; Slagboom, PEline; van Ommen, Gertjan B; de Bakker, Paul IW; van Dijk, Freerk; Menelaou, Androniki; Neerincx, Pieter BT; Pulit, Sara L; Deelen, Patrick; Elbers, Clara C; Francesco Palamara, Pier; Pe'er, Itsik; Abdellaoui, Abdel; van Oven, Mannis; Vermaat, Martijn; Li, Mingkun; Laros, Jeroen FJ; Stoneking, Mark; de Knijff, Peter; Kayser, Manfred; Veldink, Jan H; van den Berg, Leonard H; Byelas, Heorhiy; den Dunnen, Johan T; Dijkstra, Martijn; Amin, Najaf; van der Velde, K Joeri; Hottenga, Jouke Jan; van Setten, Jessica; van Leeuwen, Elisabeth M; Kanterakis, Alexandros; Kattenberg, Mathijs; Karssen, Lennart C; van Schaik, Barbera DC; Bot, Jan; Nijman, Isaäc J; Renkens, Ivo; van Enckevort, David; Mei, Hailiang; Koval, Vyacheslav; Estrada, Karol; Medina-Gomez, Carolina; Ye, Kai; Lameijer, Eric-Wubbo; Moed, Matthijs H; Hehir-Kwa, Jayne Y; Handsaker, Robert E; McCarroll, Steven A; Sunyaev, Shamil R; Polak, Paz; Vuzman, Dana; Sohail, Mashaal; Hormozdiari, Fereydoun; Marschall, Tobias; Schönhuth, Alexander; Guryev, Victor; Slagboom, P Eline; Beekman, Marian B; de Craen, Anton JM; Suchiman, H Eka D; Hofman, Albert; Oostra, Ben; Isaacs, Aaron; Rivadeneira, Fernando; Uitterlinden, André G; Willemsen, Gonneke; Platteel, Mathieu; Pitts, Steven J; Potluri, Shobha; Sundar, Purnima; Cox, David R; Li, Qibin; Li, Yingrui; Du, Yuanping; Chen, Ruoyan; Cao, Hongzhi; Li, Ning; Cao, Sujie; Wang, Jun; Bovenberg, Jasper A; Brandsma, Margreet; Samocha, Kaitlin E.; Neale, Benjamin; Daly, Mark; Banks, Eric; DePristo, Mark AGermline mutation detection from human DNA sequence data is challenging due to the rarity of such events relative to the intrinsic error rates of sequencing technologies and the uneven coverage across the genome. We developed PhaseByTransmission (PBT) to identify de novo single nucleotide variants and short insertions and deletions (indels) from sequence data collected in parent-offspring trios. We compute the joint probability of the data given the genotype likelihoods in the individual family members, the known familial relationships and a prior probability for the mutation rate. Candidate de novo mutations (DNMs) are reported along with their posterior probability, providing a systematic way to prioritize them for validation. Our tool is integrated in the Genome Analysis Toolkit and can be used together with the ReadBackedPhasing module to infer the parental origin of DNMs based on phase-informative reads. Using simulated data, we show that PBT outperforms existing tools, especially in low coverage data and on the X chromosome. We further show that PBT displays high validation rates on empirical parent-offspring sequencing data for whole-exome data from 104 trios and X-chromosome data from 249 parent-offspring families. Finally, we demonstrate an association between father's age at conception and the number of DNMs in female offspring's X chromosome, consistent with previous literature reports.
Publication A high-quality human reference panel reveals the complexity and distribution of genomic structural variants
(Nature Publishing Group, 2016) Hehir-Kwa, Jayne Y.; Marschall, Tobias; Kloosterman, Wigard P.; Francioli, Laurent; Baaijens, Jasmijn A.; Dijkstra, Louis J.; Abdellaoui, Abdel; Koval, Vyacheslav; Thung, Djie Tjwan; Wardenaar, René; Renkens, Ivo; Coe, Bradley P.; Deelen, Patrick; de Ligt, Joep; Lameijer, Eric-Wubbo; van Dijk, Freerk; Hormozdiari, Fereydoun; Bovenberg, Jasper A.; de Craen, Anton J. M.; Beekman, Marian; Hofman, Albert; Willemsen, Gonneke; Wolffenbuttel, Bruce; Platteel, Mathieu; Du, Yuanping; Chen, Ruoyan; Cao, Hongzhi; Cao, Rui; Sun, Yushen; Cao, Jeremy Sujie; Neerincx, Pieter B. T.; Dijkstra, Martijn; Byelas, George; Kanterakis, Alexandros; Bot, Jan; Vermaat, Martijn; Laros, Jeroen F. J.; den Dunnen, Johan T.; de Knijff, Peter; Karssen, Lennart C.; van Leeuwen, Elisa M.; Amin, Najaf; Rivadeneira, Fernando; Estrada, Karol; Hottenga, Jouke-Jan; Kattenberg, V. Mathijs; van Enckevort, David; Mei, Hailiang; Santcroos, Mark; van Schaik, Barbera D. C.; Handsaker, Robert; McCarroll, Steven; Ko, Arthur; Sudmant, Peter; Nijman, Isaac J.; Uitterlinden, André G.; van Duijn, Cornelia M.; Eichler, Evan E.; de Bakker, Paul I. W.; Swertz, Morris A.; Wijmenga, Cisca; van Ommen, Gert-Jan B.; Slagboom, P. Eline; Boomsma, Dorret I.; Schönhuth, Alexander; Ye, Kai; Guryev, VictorStructural variation (SV) represents a major source of differences between individual human genomes and has been linked to disease phenotypes. However, the majority of studies provide neither a global view of the full spectrum of these variants nor integrate them into reference panels of genetic variation. Here, we analyse whole genome sequencing data of 769 individuals from 250 Dutch families, and provide a haplotype-resolved map of 1.9 million genome variants across 9 different variant classes, including novel forms of complex indels, and retrotransposition-mediated insertions of mobile elements and processed RNAs. A large proportion are previously under reported variants sized between 21 and 100 bp. We detect 4 megabases of novel sequence, encoding 11 new transcripts. Finally, we show 191 known, trait-associated SNPs to be in strong linkage disequilibrium with SVs and demonstrate that our panel facilitates accurate imputation of SVs in unrelated individuals.