| Literature DB >> 29857119 |
Adam C Naj1, Honghuang Lin2, Badri N Vardarajan3, Simon White4, Daniel Lancour5, Yiyi Ma5, Michael Schmidt6, Fangui Sun7, Mariusz Butkiewicz8, William S Bush8, Brian W Kunkle6, John Malamon9, Najaf Amin10, Seung Hoan Choi7, Kara L Hamilton-Nelson6, Sven J van der Lee10, Namrata Gupta11, Daniel C Koboldt12, Mohamad Saad13, Bowen Wang14, Alejandro Q Nato15, Harkirat K Sohi15, Amanda Kuzma9, Li-San Wang9, L Adrienne Cupples16, Cornelia van Duijn10, Sudha Seshadri17, Gerard D Schellenberg9, Eric Boerwinkle18, Joshua C Bis19, Josée Dupuis16, William J Salerno4, Ellen M Wijsman13, Eden R Martin6, Anita L DeStefano20.
Abstract
The Alzheimer's Disease Sequencing Project (ADSP) performed whole genome sequencing (WGS) of 584 subjects from 111 multiplex families at three sequencing centers. Genotype calling of single nucleotide variants (SNVs) and insertion-deletion variants (indels) was performed centrally using GATK-HaplotypeCaller and Atlas V2. The ADSP Quality Control (QC) Working Group applied QC protocols to project-level variant call format files (VCFs) from each pipeline, and developed and implemented a novel protocol, termed "consensus calling," to combine genotype calls from both pipelines into a single high-quality set. QC was applied to autosomal bi-allelic SNVs and indels, and included pipeline-recommended QC filters, variant-level QC, and sample-level QC. Low-quality variants or genotypes were excluded, and sample outliers were noted. Quality was assessed by examining Mendelian inconsistencies (MIs) among 67 parent-offspring pairs, and MIs were used to establish additional genotype-specific filters for GATK calls. After QC, 578 subjects remained. Pipeline-specific QC excluded ~12.0% of GATK and 14.5% of Atlas SNVs. Between pipelines, ~91% of SNV genotypes across all QCed variants were concordant; 4.23% and 4.56% of genotypes were exclusive to Atlas or GATK, respectively; the remaining ~0.01% of discordant genotypes were excluded. For indels, variant-level QC excluded ~36.8% of GATK and 35.3% of Atlas indels. Between pipelines, ~55.6% of indel genotypes were concordant; while 10.3% and 28.3% were exclusive to Atlas or GATK, respectively; and ~0.29% of discordant genotypes were. The final WGS consensus dataset contains 27,896,774 SNVs and 3,133,926 indels and is publicly available.Entities:
Keywords: Atlas; Consensus calling; GATK; Mendelian inconsistencies; Quality control; Whole genome sequencing
Mesh:
Year: 2018 PMID: 29857119 PMCID: PMC6397097 DOI: 10.1016/j.ygeno.2018.05.004
Source DB: PubMed Journal: Genomics ISSN: 0888-7543 Impact factor: 5.736