A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies.
- DOI
- 10.1038/s43588-024-00764-8
- Published
- 2025 Feb
- Container
- Nature computational science
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.1038/s43588-024-00764-8,
title = {A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies.},
author = {Li X and Chen H and Selvaraj MS and Van Buren E and Zhou H and Wang Y and Sun R and McCaw ZR and Yu Z and Jiang MZ and DiCorpo D and Gaynor SM and Dey R and Arnett DK and Benjamin EJ and Bis JC and Blangero J and Boerwinkle E and Bowden DW and Brody JA and Cade BE and Carson AP and Carlson JC and Chami N and Chen YI and Curran JE and de Vries PS and Fornage M and Franceschini N and Freedman BI and Gu C and Heard-Costa NL and He J and Hou L and Hung YJ and Irvin MR and Kaplan RC and Kardia SLR and Kelly TN and Konigsberg I and Kooperberg C and Kral BG and Li C and Li Y and Lin H and Liu CT and Loos RJF and Mahaney MC and Martin LW and Mathias RA and Mitchell BD and Montasser ME and Morrison AC and Naseri T and North KE and Palmer ND and Peyser PA and Psaty BM and Redline S and Reiner AP and Rich SS and Sitlani CM and Smith JA and Taylor KD and Tiwari HK and Vasan RS and Viali S and Wang Z and Wessel J and Yanek LR and Yu B and NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium and Dupuis J and Meigs JB and Auer PL and Raffield LM and Manning AK and Rice KM and Rotter JI and Peloso GM and Natarajan P and Li Z and Liu Z and Lin X},
year = {2025},
journal = {Nature computational science},
doi = {10.1038/s43588-024-00764-8},
url = {https://doi.org/10.1038/s43588-024-00764-8}
}RIS
TY - JOUR TI - A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. AU - Li X AU - Chen H AU - Selvaraj MS AU - Van Buren E AU - Zhou H AU - Wang Y AU - Sun R AU - McCaw ZR AU - Yu Z AU - Jiang MZ AU - DiCorpo D AU - Gaynor SM AU - Dey R AU - Arnett DK AU - Benjamin EJ AU - Bis JC AU - Blangero J AU - Boerwinkle E AU - Bowden DW AU - Brody JA AU - Cade BE AU - Carson AP AU - Carlson JC AU - Chami N AU - Chen YI AU - Curran JE AU - de Vries PS AU - Fornage M AU - Franceschini N AU - Freedman BI AU - Gu C AU - Heard-Costa NL AU - He J AU - Hou L AU - Hung YJ AU - Irvin MR AU - Kaplan RC AU - Kardia SLR AU - Kelly TN AU - Konigsberg I AU - Kooperberg C AU - Kral BG AU - Li C AU - Li Y AU - Lin H AU - Liu CT AU - Loos RJF AU - Mahaney MC AU - Martin LW AU - Mathias RA AU - Mitchell BD AU - Montasser ME AU - Morrison AC AU - Naseri T AU - North KE AU - Palmer ND AU - Peyser PA AU - Psaty BM AU - Redline S AU - Reiner AP AU - Rich SS AU - Sitlani CM AU - Smith JA AU - Taylor KD AU - Tiwari HK AU - Vasan RS AU - Viali S AU - Wang Z AU - Wessel J AU - Yanek LR AU - Yu B AU - NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium AU - Dupuis J AU - Meigs JB AU - Auer PL AU - Raffield LM AU - Manning AK AU - Rice KM AU - Rotter JI AU - Peloso GM AU - Natarajan P AU - Li Z AU - Liu Z AU - Lin X PY - 2025 JO - Nature computational science DO - 10.1038/s43588-024-00764-8 UR - https://doi.org/10.1038/s43588-024-00764-8 ER -
APA
X, L., H, C., MS, S., E, V. B., H, Z., Y, W., R, S., ZR, M., Z, Y., MZ, J., D, D., SM, G., R, D., DK, A., EJ, B., JC, B., J, B., E, B., DW, B., JA, B., BE, C., AP, C., JC, C., N, C., YI, C., JE, C., PS, D. V., M, F., N, F., BI, F., C, G., NL, H., J, H., L, H., YJ, H., MR, I., RC, K., SLR, K., TN, K., I, K., C, K., BG, K., C, L., Y, L., H, L., CT, L., RJF, L., MC, M., LW, M., RA, M., BD, M., ME, M., AC, M., T, N., KE, N., ND, P., PA, P., BM, P., S, R., AP, R., SS, R., CM, S., JA, S., KD, T., HK, T., RS, V., S, V., Z, W., J, W., LR, Y., B, Y., Consortium, N. T. F. P. M. (., J, D., JB, M., PL, A., LM, R., AK, M., KM, R., JI, R., GM, P., P, N., Z, L., Z, L., & X, L. (2025). A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies.. Nature computational science. https://doi.org/10.1038/s43588-024-00764-8
Source records
- pubmed · retrieved 2026-09-25T16:25:40.597Z