Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms.
- DOI
- 10.1093/hmg/ddw094
- Published
- 2016 Jun 1
- Container
- Human molecular genetics
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.1093/hmg/ddw094,
title = {Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms.},
author = {de la Hoya M and Soukarieh O and López-Perolio I and Vega A and Walker LC and van Ierland Y and Baralle D and Santamariña M and Lattimore V and Wijnen J and Whiley P and Blanco A and Raponi M and Hauke J and Wappenschmidt B and Becker A and Hansen TV and Behar R and Investigators K and Niederacher D and Arnold N and Dworniczak B and Steinemann D and Faust U and Rubinstein W and Hulick PJ and Houdayer C and Caputo SM and Castera L and Pesaran T and Chao E and Brewer C and Southey MC and van Asperen CJ and Singer CF and Sullivan J and Poplawski N and Mai P and Peto J and Johnson N and Burwinkel B and Surowy H and Bojesen SE and Flyger H and Lindblom A and Margolin S and Chang-Claude J and Rudolph A and Radice P and Galastri L and Olson JE and Hallberg E and Giles GG and Milne RL and Andrulis IL and Glendon G and Hall P and Czene K and Blows F and Shah M and Wang Q and Dennis J and Michailidou K and McGuffog L and Bolla MK and Antoniou AC and Easton DF and Couch FJ and Tavtigian S and Vreeswijk MP and Parsons M and Meeks HD and Martins A and Goldgar DE and Spurdle AB},
year = {2016},
journal = {Human molecular genetics},
doi = {10.1093/hmg/ddw094},
url = {https://doi.org/10.1093/hmg/ddw094}
}RIS
TY - JOUR TI - Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms. AU - de la Hoya M AU - Soukarieh O AU - López-Perolio I AU - Vega A AU - Walker LC AU - van Ierland Y AU - Baralle D AU - Santamariña M AU - Lattimore V AU - Wijnen J AU - Whiley P AU - Blanco A AU - Raponi M AU - Hauke J AU - Wappenschmidt B AU - Becker A AU - Hansen TV AU - Behar R AU - Investigators K AU - Niederacher D AU - Arnold N AU - Dworniczak B AU - Steinemann D AU - Faust U AU - Rubinstein W AU - Hulick PJ AU - Houdayer C AU - Caputo SM AU - Castera L AU - Pesaran T AU - Chao E AU - Brewer C AU - Southey MC AU - van Asperen CJ AU - Singer CF AU - Sullivan J AU - Poplawski N AU - Mai P AU - Peto J AU - Johnson N AU - Burwinkel B AU - Surowy H AU - Bojesen SE AU - Flyger H AU - Lindblom A AU - Margolin S AU - Chang-Claude J AU - Rudolph A AU - Radice P AU - Galastri L AU - Olson JE AU - Hallberg E AU - Giles GG AU - Milne RL AU - Andrulis IL AU - Glendon G AU - Hall P AU - Czene K AU - Blows F AU - Shah M AU - Wang Q AU - Dennis J AU - Michailidou K AU - McGuffog L AU - Bolla MK AU - Antoniou AC AU - Easton DF AU - Couch FJ AU - Tavtigian S AU - Vreeswijk MP AU - Parsons M AU - Meeks HD AU - Martins A AU - Goldgar DE AU - Spurdle AB PY - 2016 JO - Human molecular genetics DO - 10.1093/hmg/ddw094 UR - https://doi.org/10.1093/hmg/ddw094 ER -
APA
M, D. L. H., O, S., I, L., A, V., LC, W., Y, V. I., D, B., M, S., V, L., J, W., P, W., A, B., M, R., J, H., B, W., A, B., TV, H., R, B., K, I., D, N., N, A., B, D., D, S., U, F., W, R., PJ, H., C, H., SM, C., L, C., T, P., E, C., C, B., MC, S., CJ, V. A., CF, S., J, S., N, P., P, M., J, P., N, J., B, B., H, S., SE, B., H, F., A, L., S, M., J, C., A, R., P, R., L, G., JE, O., E, H., GG, G., RL, M., IL, A., G, G., P, H., K, C., F, B., M, S., Q, W., J, D., K, M., L, M., MK, B., AC, A., DF, E., FJ, C., S, T., MP, V., M, P., HD, M., A, M., DE, G., & AB, S. (2016). Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms.. Human molecular genetics. https://doi.org/10.1093/hmg/ddw094
Source records
- pubmed · retrieved 2026-09-26T03:43:10.753Z