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231225s2019 xx |||||o 00| ||eng c |
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|a 10.21105/joss.01435
|2 doi
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|a eng
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1 |
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|a Boehm, Frederick
|e verfasserin
|4 aut
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| 245 |
1 |
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|a qtl2pleio
|b Testing pleiotropy vs. separate QTL in multiparental populations
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|c 2019
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Revised 28.09.2020
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Modern quantitative trait locus (QTL) studies in multiparental populations offer opportunities to identify causal genes for thousands of clinical and molecular traits. Traditional analyses examine each trait by itself. However, to fully leverage this vast number of measured traits, the systems genetics community needs statistical tools to analyze multiple traits simultaneously (Jiang & Zeng, 1995; Korol, Ronin, & Kirzhner, 1995). A test of pleiotropy vs. separate QTL is one such tool that will aid dissection of complex trait genetics and enhance understanding of genetic architecture
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| 650 |
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|a Journal Article
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1 |
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|a Yandell, Brian
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Broman, Karl W
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Journal of open source software
|d 2017
|g 4(2019), 38 vom: 01.
|w (DE-627)NLM275088057
|x 2475-9066
|7 nnns
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| 773 |
1 |
8 |
|g volume:4
|g year:2019
|g number:38
|g day:01
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|u http://dx.doi.org/10.21105/joss.01435
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