The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Discovery of expression QTLs using large-scale transcriptional profiling in human lymphocytes
Open accessAbstract
Quantitative differences in gene expression are thought to contribute to phenotypic differences between individuals. We generated genome-wide transcriptional profiles of lymphocyte samples from 1,240 participants in the San Antonio Family Heart Study. The expression levels of 85% of the 19,648 detected autosomal transcripts were significantly heritable. Linkage analysis uncovered >1,000 cis-regulated transcripts at a false discovery rate of 5% and showed that the expression quantitative trait loci with the most significant linkage evidence are often located at the structural locus of a given transcript. To highlight the usefulness of this much-enlarged map of cis-regulated transcripts for the discovery of genes that influence complex traits in humans, as an example we selected high-density lipoprotein cholesterol concentration as a phenotype of clinical importance, and identified the cis-regulated vanin 1 (VNN1) gene as harboring sequence variants that influence high-density lipoprotein cholesterol concentrations.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
An integrative genomics approach to infer causal associations between gene expression and disease
Schadt, E. E., Lamb, J., Yang, X., Zhu, J., Edwards, S., GuhaThakurta, D., Sieberts, S. K., Monks, S., Reitman, M., Zhang, C., et al. (2005) · Nature Genetics · doi:10.1038/ng1589 · Cited by 1,043
The landscape of genetic complexity across 5,700 gene expression traits in yeast
Brem, R. B., & Kruglyak, L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408709102 · Cited by 603
Large Upward Bias in Estimation of Locus-Specific Effects from Genomewide Scans
Göring, H. H. H., Terwilliger, J. D., & Blangero, J. (2001) · The American Journal of Human Genetics · doi:10.1086/324471 · Cited by 483
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Cited by
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891
An atlas of active enhancers across human cell types and tissues
The FANTOM Consortium, Andersson, R., Gebhard, C., Miguel-Escalada, I., Hoof, I., Bornholdt, J., Boyd, M., Chen, Y., Zhao, X., Schmidl, C., et al. (2014) · Nature · doi:10.1038/nature12787 · Cited by 2,550
Common variants near MC4R are associated with fat mass, weight and risk of obesity
The Prostate, L., Loos, R. J. F., KORA, Study, N. H., Initiative, D. G., Study, T. S., The Wellcome Trust Case Control Consortium, FUSION, Lindgren, C. M., Li, S., et al. (2008) · Nature Genetics · doi:10.1038/ng.140 · Cited by 1,325
The role of regulatory variation in complex traits and disease
Albert, F. W., & Kruglyak, L. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3891 · Cited by 1,047
Human Fetal Hemoglobin Expression Is Regulated by the Developmental Stage-Specific Repressor BCL11A
Sankaran, V. G., Menne, T. F., Xu, J., Akie, T. E., Lettre, G., Van Handel, B., Mikkola, H. K. A., Hirschhorn, J. N., Cantor, A. B., & Orkin, S. H. (2008) · Science · doi:10.1126/science.1165409 · Cited by 919
Metadata
- Authors
- Göring, H. H. H., Curran, J. E., Johnson, M. P., Dyer, T. D., Charlesworth, J., Cole, S. A., Jowett, J. B. M., Abraham, L. J., Rainwater, D. L., Comuzzie, A. G., Mahaney, M. C., Almasy, L., MacCluer, J. W., Kissebah, A. H., Collier, G. R., Moses, E. K., & Blangero, J.
- Venue
- Nature Genetics
- Published
- 2007-09-16
- Volume
- 39
- Issue
- 10
- Pages
- 1208-1216
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2145090915
- Cited by
- 504
- References
- 4
- FWCI
- 32.32
- Type
- journal article
- Language
- en
- Open access
- green
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