scholarly article | Q13442814 |
P819 | ADS bibcode | 2016PLoSO..1152891L |
P356 | DOI | 10.1371/JOURNAL.PONE.0152891 |
P932 | PMC publication ID | 4821560 |
P698 | PubMed publication ID | 27045371 |
P50 | author | Sui-Lung Su | Q54278957 |
Cordia Chu | Q57941091 | ||
Chin Lin | Q42196385 | ||
P2093 | author name string | Chi-Ming Chu | |
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P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 4 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | meta-analysis | Q815382 |
Markov chain Monte Carlo | Q1191869 | ||
Markov chain | Q176645 | ||
P304 | page(s) | e0152891 | |
P577 | publication date | 2016-04-05 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Epistasis Test in Meta-Analysis: A Multi-Parameter Markov Chain Monte Carlo Model for Consistency of Evidence | |
P478 | volume | 11 |
Q47137535 | Angiotensin II receptor type 1 A1166C modifies the association between angiotensinogen M235T and chronic kidney disease |
Q36141056 | Angiotensin-Converting Enzyme Insertion/Deletion Polymorphism and Susceptibility to Osteoarthritis of the Knee: A Case-Control Study and Meta-Analysis |
Q55044234 | Association between angiotensin II receptor type 1 A1166C polymorphism and chronic kidney disease. |
Q55342389 | Performance of epistasis detection methods in semi-simulated GWAS. |
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