The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Illumina human exome genotyping array clustering and quality control
Open accessAbstract
With the rise of high-throughput sequencing technology, traditional genotyping arrays are gradually being replaced by sequencing technology. Against this trend, Illumina has introduced an exome genotyping array that provides an alternative approach to sequencing, especially suited to large-scale genome-wide association studies (GWASs). The exome genotyping array targets the exome plus rare single-nucleotide polymorphisms (SNPs), a feature that makes it substantially more challenging to process than previous genotyping arrays that targeted common SNPs. Researchers have struggled to generate a reliable protocol for processing exome genotyping array data. The Vanderbilt Epidemiology Center, in cooperation with Vanderbilt Technologies for Advanced Genomics Analysis and Research Design (VANGARD), has developed a thorough exome chip–processing protocol. The protocol was developed during the processing of several large exome genotyping array-based studies, which included over 60,000 participants combined. The protocol described herein contains detailed clustering techniques and robust quality control procedures, and it can benefit future exome genotyping array–based GWASs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Use of Ranks in One-Criterion Variance Analysis
Kruskal, W. H., & Wallis, W. A. (1952) · Journal of the American Statistical Association · doi:10.1080/01621459.1952.10483441 · Cited by 13,912
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057
Self-citationzCall: a rare variant caller for array-based genotyping
Goldstein, J. I., Crenshaw, A., Carey, J., Grant, G. B., Maguire, J., Fromer, M., O’Dushlaine, C., Moran, J. L., Chambert, K., Stevens, C., et al. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts479 · Cited by 196
Cited by
Detection of Deleterious On-Target Effects after HDR-Mediated CRISPR Editing
Weisheit, I., Kroeger, J. A., Malik, R., Klimmt, J., Crusius, D., Dannert, A., Dichgans, M., & Paquet, D. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107689 · Cited by 125
Karnes, J. H., Bastarache, L., Shaffer, C. M., Gaudieri, S., Xu, Y., Glazer, A. M., Mosley, J. D., Zhao, S., Raychaudhuri, S., Mallal, S., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aai8708 · Cited by 126
Self-citationThe HUNT Study: a population-based cohort for genetic research
Brumpton, B. M., Graham, S., Surakka, I., Skogholt, A. H., Løset, M., Fritsche, L. G., Wolford, B., Zhou, W., Nielsen, J. B., Holmen, O. L., et al. (2021) · doi:10.1101/2021.12.23.21268305 · Cited by 110
Cheng, Y., Schlosser, P., Hertel, J., Sekula, P., Oefner, P. J., Spiekerkoetter, U., Mielke, J., Freitag, D. F., Schmidts, M., GCKD Investigators, et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20877-8 · Cited by 37
Guymer, R. H., Silva, R., Ghadessi, M., Leal, S., Gashaw, I., Damask, A., Paulding, C., & Rittenhouse, K. D. (2024) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.65.8.17 · Cited by 6
Metadata
- Authors
- Guo, Y., He, J., Zhao, S., Wu, H., Zhong, X., Sheng, Q., Samuels, D. C., Shyr, Y., & Long, J.
- Venue
- Nature Protocols
- Published
- 2014-10-16
- Volume
- 9
- Issue
- 11
- Pages
- 2643-2662
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- OpenAlex
- W2053250360
- Cited by
- 184
- References
- 5
- FWCI
- 7.33
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Illumina human exome genotyping array clustering and quality control. https://app.cochat.ai/papers/10.1038/nprot.2014.174
- The paper
- Guo, Y., He, J., Zhao, S., Wu, H., Zhong, X., Sheng, Q., Samuels, D. C., Shyr, Y., & Long, J. (2014). Illumina human exome genotyping array clustering and quality control. Nature Protocols. https://doi.org/10.1038/nprot.2014.174
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.