Harm Jan Westra

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Opleiding / Academische kwalificatie

Genetica, PhD., Interpreting disease genetics using functional genomics, Rijksuniversiteit Groningen

1-jan.-2010 → 17-sep.-2014

Datum van toekenning: 17-sep.-2014

Externe posities

Onderzoeker, Brigham and Women's Hospital

1-apr.-2014 → 31-aug.-2017

Onderzoeker, Broad Institute

1-apr.-2014 → 31-aug.-2017

Onderzoeker, Harvard Medical School

1-apr.-2014 → 31-aug.-2017

78 Article
6 Erratum
3 Meeting Abstract
3 Letter
Meer

Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases
de Klein, N., Tsai, E. A., Vochteloo, M., Baird, D., Huang, Y., Chen, C. Y., van Dam, S., Oelen, R., Deelen, P., Bakker, O. B., El Garwany, O., Ouyang, Z., Marshall, E. E., Zavodszky, M. I., van Rheenen, W., Bakker, M. K., Veldink, J., Gaunt, T. R., Runz, H., Franke, L., & 1 anderenWestra, H. J., mrt.-2023, In: Nature genetics. 55, 3, blz. 377-388 12 blz.
Onderzoeksoutput › Academic › peer review

Open Access
Bestand

9 Citaten (Scopus)

22 Downloads (Pure)
Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
BIOS Consortium, sc-eQTLgen Consortium, Li, S., Schmid, K. T., de Vries, D. H., Korshevniuk, M., Losert, C., Oelen, R., van Blokland, I. V., Groot, H. E., Swertz, M. A., van der Harst, P., Westra, H. J., van der Wijst, M. G. P., Heinig, M. & Franke, L., 18-apr.-2023, (E-pub ahead of print) In: Genome Biology. 24, 37 blz., 80.
Onderzoeksoutput › Academic › peer review

Open Access
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1 Citaat (Scopus)

1 Downloads (Pure)
KidneyNetwork: Using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease
Genomics England Research Consortium, Boulogne, F., Claus, L. R., Wiersma, H., Oelen, R., Schukking, F., de Klein, N., Li, S., Westra, H. J., van der Zwaag, B., van Reekum, F., Sierks, D., Schönauer, R., Li, Z., Bijlsma, E. K., Bos, W. J. W., Halbritter, J., Knoers, N. V. A. M., Besse, W., Deelen, P., & 2 anderenFranke, L. & van Eerde, A. M., 20-feb.-2023, (E-pub ahead of print) In: European Journal of Human Genetics. 9 blz.
Onderzoeksoutput › Academic › peer review

Open Access
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2 Citaten (Scopus)

9 Downloads (Pure)
OTTERS: a powerful TWAS framework leveraging summary-level reference data
eQTLGen Consortium, Dai, Q., Zhou, G., Zhao, H., Võsa, U., Franke, L., Battle, A., Teumer, A., Lehtimäki, T., Raitakari, O. T., Esko, T., Epstein, M. P. & Yang, J., dec.-2023, In: Nature Communications. 14, 13 blz., 1271.
Onderzoeksoutput: Article › Academic › peer review

Open Access
Bestand

35 Downloads (Pure)
Author Correction: Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology (vol 53, pg 1636, 2021)
SLALOM Consortium, PARALS Consortium, SLAGEN Consortium, SLAP Consortium, van Rheenen, W., van der Spek, R. A. A., Bakker, M. K., van Vugt, J. J. F. A., Hop, P. J., Zwamborn, R. A. J., de Klein, N., Westra, H-J., Bakker, O. B., Deelen, P., Shireby, G., Hannon, E., Moisse, M., Baird, D., Restuadi, R., Dolzhenko, E., & 34 anderenDekker, A. M., Gawor, K., Westeneng, H-J., Tazelaar, G. H. P., van Eijk, K. R., Kooyman, M., Byrne, R. P., Doherty, M., Heverin, M., Al Khleifat, A., Iacoangeli, A., Shatunov, A., Ticozzi, N., Cooper-Knock, J., Smith, B. N., Gromicho, M., Chandran, S., Pal, S., Morrison, K. E., Shaw, P. J., Hardy, J., Orrell, R. W., Sendtner, M., Meyer, T., Basak, N., van der Kooi, A. J., Ratti, A., Fogh, I., Gellera, C., Lauria, G., Corti, S., Kraft, J., Franke, L. & Veldink, J. H., mrt.-2022, In: Nature genetics. 54, 3, blz. 361-361 1 blz.
Onderzoeksoutput

Open Access
Bestand

1 Citaat (Scopus)

15 Downloads (Pure)

Additional file 9 of Correction for both common and rare cell types in blood is important to identify genes that correlate with age
Franke, L. (Contributor), Pellegrino Coppola, D. (Contributor), Westra, H. J. (Contributor), Stutvoet, M. (Contributor), Slagboom, P. E. (Contributor), Ikram, M. A. (Contributor), Claringbould, A. (Contributor) & Boomsma, D. I. (Contributor), University of Groningen, 16-mrt.-2021
DOI: 10.6084/m9.figshare.14220887.v1, https://doi.org/10.6084%2Fm9.figshare.14220887.v1
Dataset
Additional file 5 of Correction for both common and rare cell types in blood is important to identify genes that correlate with age
Boomsma, D. I. (Contributor), Franke, L. (Contributor), Claringbould, A. (Contributor), Stutvoet, M. (Contributor), Westra, H. J. (Contributor), Slagboom, P. E. (Contributor), Ikram, M. A. (Contributor) & Pellegrino Coppola, D. (Contributor), University of Groningen, 16-mrt.-2021
DOI: 10.6084/m9.figshare.14220875.v1, https://doi.org/10.6084%2Fm9.figshare.14220875.v1
Dataset
Additional file 8 of Correction for both common and rare cell types in blood is important to identify genes that correlate with age
Claringbould, A. (Contributor), Westra, H. J. (Contributor), Ikram, M. A. (Contributor), Pellegrino Coppola, D. (Contributor), Slagboom, P. E. (Contributor), Franke, L. (Contributor), Stutvoet, M. (Contributor) & Boomsma, D. I. (Contributor), University of Groningen, 16-mrt.-2021
DOI: 10.6084/m9.figshare.14220884.v1, https://doi.org/10.6084%2Fm9.figshare.14220884.v1
Dataset
Additional file 2 of Correction for both common and rare cell types in blood is important to identify genes that correlate with age
Stutvoet, M. (Contributor), Slagboom, P. E. (Contributor), Pellegrino Coppola, D. (Contributor), Westra, H. J. (Contributor), Boomsma, D. I. (Contributor), Ikram, M. A. (Contributor), Franke, L. (Contributor) & Claringbould, A. (Contributor), University of Groningen, 16-mrt.-2021
DOI: 10.6084/m9.figshare.14220866.v1, https://doi.org/10.6084%2Fm9.figshare.14220866.v1
Dataset
Additional file 7 of Correction for both common and rare cell types in blood is important to identify genes that correlate with age
Westra, H. J. (Contributor), Claringbould, A. (Contributor), Ikram, M. A. (Contributor), Franke, L. (Contributor), Pellegrino Coppola, D. (Contributor), Stutvoet, M. (Contributor), Slagboom, P. E. (Contributor) & Boomsma, D. I. (Contributor), University of Groningen, 16-mrt.-2021
DOI: 10.6084/m9.figshare.14220881.v1, https://doi.org/10.6084%2Fm9.figshare.14220881.v1
Dataset

Harm Jan Westra

Persoonlijk profiel

Opleiding / Academische kwalificatie

Externe posities

Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar

Duik in details

Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

KidneyNetwork: Using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease

OTTERS: a powerful TWAS framework leveraging summary-level reference data

Author Correction: Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology (vol 53, pg 1636, 2021)

Additional file 9 of Correction for both common and rare cell types in blood is important to identify genes that correlate with age

Additional file 5 of Correction for both common and rare cell types in blood is important to identify genes that correlate with age

Additional file 8 of Correction for both common and rare cell types in blood is important to identify genes that correlate with age

Additional file 2 of Correction for both common and rare cell types in blood is important to identify genes that correlate with age

Additional file 7 of Correction for both common and rare cell types in blood is important to identify genes that correlate with age

Harm Jan Westra

Persoonlijk profiel

Opleiding / Academische kwalificatie

Externe posities

Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar

Onderzoeksoutput

Datasets