Evidence map›Paper›PMID 38012772›Full record

ArticleGenome biology2023

Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance.

Luyao Ren, Xiaoke Duan, Lianhua Dong, Rui Zhang, Jingcheng Yang, Yuechen Gao, Rongxue Peng, Wanwan Hou, Yaqing Liu, Jingjing Li and 25 more

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  11. Reliable biological and multi-omics research through biometrology.Analytical and bioanalytical chemistry · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

35 authors.

Luyao Ren *State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Xiaoke Duan *State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Lianhua Dong *National Institute of Metrology, Beijing, China.
Rui Zhang *National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, China.
Jingcheng Yang *State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Yuechen GaoState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Rongxue PengNational Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, China.
Wanwan HouState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Yaqing LiuState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Jingjing LiState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Ying YuState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Naixin ZhangState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Jun ShangState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Fan LiangNextomics Biosciences Institute, Wuhan, Hubei, China.
Depeng WangNextomics Biosciences Institute, Wuhan, Hubei, China.
Hui ChenOrigiMed Co., Ltd, Shanghai, China.
Lele SunSequanta Technologies Co., Ltd, Shanghai, China.
Lingtong HaoGenome Wisdom Inc, Beijing, China.
Quartet Project Team
Andreas SchererInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Jessica NordlundEATRIS ERIC-European Infrastructure for Translational Medicine, Amsterdam, the Netherlands.
Wenming XiaoOffice of Oncologic Diseases, Office of New Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Joshua XuDivision of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA.
Weida TongDivision of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA.
Xin HuShanghai Cancer Center, Fudan University, Shanghai, China.
Peng JiaSchool of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China.
Kai YeSchool of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China.
Jinming LiNational Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, China.
Li JinState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Huixiao HongDivision of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA.
Jing WangNational Institute of Metrology, Beijing, China. wj@nim.ac.cn.
Shaohua FanState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China. shaohua_fan@fudan.edu.cn.
Xiang FangNational Institute of Metrology, Beijing, China. fangxiang@nim.ac.cn.
Yuanting ZhengState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China. zhengyuanting@fudan.edu.cn.ORCID 0000-0003-4480-8303
Leming ShiState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.

Funding

111 Project B13016National Mega Project on Major Infectious Disease Prevention 2018YFE0201600National Natural Science Foundation of China 31720103909National Natural Science Foundation of China 32170657National Natural Science Foundation of China 32300536Shanghai Sailing Program 22YF1403500State Key Laboratory of Genetic Engineering SKLGE-2117
6 · The paper itself

Abstract

backgroundGenomic DNA reference materials are widely recognized as essential for ensuring data quality in omics research. However, relying solely on reference datasets to evaluate the accuracy of variant calling results is incomplete, as they are limited to benchmark regions. Therefore, it is important to develop DNA reference materials that enable the assessment of variant detection performance across the entire genome.

resultsWe established a DNA reference material suite from four immortalized cell lines derived from a family of parents and monozygotic twins. Comprehensive reference datasets of 4.2 million small variants and 15,000 structural variants were integrated and certified for evaluating the reliability of germline variant calls inside the benchmark regions. Importantly, the genetic built-in-truth of the Quartet family design enables estimation of the precision of variant calls outside the benchmark regions. Using the Quartet reference materials along with study samples, batch effects are objectively monitored and alleviated by training a machine learning model with the Quartet reference datasets to remove potential artifact calls. Moreover, the matched RNA and protein reference materials and datasets from the Quartet project enables cross-omics validation of variant calls from multiomics data.

conclusionsThe Quartet DNA reference materials and reference datasets provide a unique resource for objectively assessing the quality of germline variant calls throughout the whole-genome regions and improving the reliability of large-scale genomic profiling.

Indexed as

BenchmarkingGenome, HumanGerm CellsHigh-Throughput Nucleotide SequencingHumansPolymorphism, Single NucleotideReproducibility of Results

Identifiers

PMID38012772
PMCPMC10680274

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.