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bibliographicCitation Li X, Chen H, Selvaraj MS, Van Buren E, Zhou H, Wang Y, Sun R, McCaw ZR, Yu Z, Arnett DK, Bis JC, Blangero J, Boerwinkle E, Bowden DW, Brody JA, Cade BE, Carson AP, Carlson JC, Chami N, Chen YI, Curran JE, de Vries PS, Fornage M, Franceschini N, Freedman BI, Gu C, Heard-Costa NL, He J, Hou L, Hung YJ, Irvin MR, Kaplan RC, Kardia SLR, Kelly T, Konigsberg I, Kooperberg C, Kral BG, Li C, Loos RJF, Mahaney MC, Martin LW, Mathias RA, Minster RL, Mitchell BD, Montasser ME, Morrison AC, Palmer ND, Peyser PA, Psaty BM, Raffield LM, Redline S, Reiner AP, Rich SS, Sitlani CM, Smith JA, Taylor KD, Tiwari H, Vasan RS, Wang Z, Yanek LR, Yu B; NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Rice KM, Rotter JI, Peloso GM, Natarajan P, Li Z, Liu Z, Lin X. A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies. bioRxiv. 2023 Nov 02;(). PMID: 37961350; PMCID: PMC10634938.
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date 2023-11-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.1101/2023.10.30.564764
https://pubmed.ncbi.nlm.nih.gov/PMC10634938
https://pubmed.ncbi.nlm.nih.gov/37961350
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies

Total number of triples: 202.