Optimising experimental design for high-throughput phenotyping in mice: A case study

Mammalian Genome

Volumn 21, Issue 9-10, 2010, Pages 467-476

  Karp, Natasha A ^a   Baker, Lauren A ^a,b   Gerdin, Anna Karin B ^a   Adams, Niels C ^a,c   Ramírez Solis, Ramiro ^a   White, Jacqueline K ^a  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c MRC MAMMALIAN GENETICS UNIT   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; BLOOD PRESSURE MEASUREMENT; CONTROLLED STUDY; DATA ANALYSIS; DIASTOLIC BLOOD PRESSURE; EXPERIMENTAL DESIGN; GENE FUNCTION; HEART RATE; KNOCKOUT MOUSE; LIPID DIET; MAMMALIAN GENETICS; MOUSE; NONHUMAN; OBESITY; PHENOTYPE; POWER ANALYSIS; PROCESS OPTIMIZATION; RELIABILITY; STATISTICAL ANALYSIS; SYSTOLIC BLOOD PRESSURE;

ANALYSIS OF VARIANCE; ANIMALS; BLOOD PRESSURE; BLOOD PRESSURE DETERMINATION; DATA INTERPRETATION, STATISTICAL; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; HEART RATE; HIGH-THROUGHPUT SCREENING ASSAYS; MICE; MICE, KNOCKOUT; PHENOTYPE; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN;

MAMMALIA; MUS;

EID: 78249241759     PISSN: 09388990     EISSN: 14321777     Source Type: Journal    
DOI: 10.1007/s00335-010-9279-1     Document Type: Article

References (33)

1. SD Brown JM Hancock H Gates 2006 Understanding mammalian genetic systems: the challenge of phenotyping in the mouse PLoS Genet 2 e118 10.1371/journal.pgen.0020118 16933996 (Pubitemid 44298487)
2. Burch W, Russell R (1959) The principles of humane experimental technique. Methuen & Co, London
3. H Cho C Park IY Hwang SB Han D Schimel, et al. 2008 Rgs5 targeting leads to chronic low blood pressure and a lean body habitus Mol Cell Biol 28 2590 2597 1:CAS:528:DC%2BD1cXksFWqsbc%3D 10.1128/MCB.01889-07 18268011 (Pubitemid 351542360)
4. Cohen J (1988) Statistical power analysis for the behaviour sciences. Lawrence Earlbaum Associates, Mahwah, NJ
5. Collins F, Rossant J, Wurst W, International Mouse Knockout Consortium (2007) A mouse for all reasons. Cell 128:9-13
6. Crawley M (2005) Statistics: an introduction using R. Wiley, New York
7. X Cui GA Churchill 2003 Statistical tests for differential expression in cDNA microarray experiments Genome Biol 4 210 10.1186/gb-2003-4-4-210 12702200 (Pubitemid 36519482)
8. S Draghici 2002 Statistical intelligence: effective analysis of high-density microarray data Drug Discov Today 7 S55 S63 1:CAS:528: DC%2BD38XktFKnsLc%3D 10.1016/S1359-6446(02)02292-4 12047881 (Pubitemid 34603631)
9. M Feng S Whitesall Y Zhang M Beibel L D'Alecy, et al. 2008 Validation of volume-pressure recording tail-cuff blood pressure measurements Am J Hypertens 21 1288 1291 10.1038/ajh.2008.301 18846043
10. MF Festing 1994 Reduction of animal use: experimental design and quality of experiments Lab Anim 28 212 221 1:STN:280:DyaK2M%2Fls12lsg%3D%3D 10.1258/002367794780681697 7967459
11. Festing MF (1996) Are animal experiments in toxicological research the 'right' size? In: Morgan BJT (ed) Statistics in toxicology. Clarendon Press, Oxford, pp 3-11
12. MF Festing 1997 Experimental design and husbandry Exp Gerontol 32 39 47 1:STN:280:DyaK2s3ksVSruw%3D%3D 10.1016/S0531-5565(96)00032-0 9088900 (Pubitemid 27131702)
13. MF Festing 2003 Principles: the need for better experimental design Trends Pharmacol Sci 24 341 345 1:CAS:528:DC%2BD3sXltl2gt7k%3D 10.1016/S0165-6147(03)00159-7 12871666 (Pubitemid 37315525)
14. G Firebaugh J Gibbs 1985 User's guide to ratio variables Am Sociol Rev 50 713 722 10.2307/2095384
15. RE Gaines Das 2002 Role of ancillary variables in the design, analysis, and interpretation of animal experiments ILAR J 43 214 222 1:CAS:528: DC%2BD38Xnt1SitLo%3D 12391397
16. S Hulbert 1984 Pseudoreplication and the design of ecological field experiments Ecol Mongr 54 187 211 10.2307/1942661
17. R Ihaka R Gentleman 1996 R: a language for data analysis and graphics J Comput Graph Stat 5 299 314 10.2307/1390807
18. MJ Justice 2008 Removing the cloak of invisibility: phenotyping the mouse Dis Model Mech 1 109 112 10.1242/dmm.001057 19048073
19. C Kilkenny N Parsons E Kadyszewski MF Festing IC Cuthill, et al. 2009 Survey of the quality of experimental design, statistical analysis and reporting of research using animals PloS ONE 4 e7824 10.1371/journal.pone.0007824 19956596
20. JH Krege JB Hodgin JR Hagaman O Smithies 1995 A noninvasive computerized tail-cuff system for measuring blood pressure in mice Hypertension 25 1111 1115 1:STN:280:DyaK2M3lsF2jtQ%3D%3D 7737724
21. TW Kurtz KA Griffin AK Bidani RL Davisson JE Hall 2005 Recommendations for blood pressure measurement in humans and experimental animals. Part 2. Blood pressure measurement in experimental animals: a statement for professionals from the subcommittee of professional and public education of the American Heart Association council on high blood pressure research Hypertension 45 299 310 1:CAS:528:DC%2BD2MXmtVWntw%3D%3D 10.1161/01.HYP.0000150857.39919.cb 15611363 (Pubitemid 40179976)
22. CW Meyer R Elvert A Scherag N Ehrhardt V Gailus-Durner, et al. 2007 Power matters in closing the phenotyping gap Naturwissenschaften 94 401 406 1:CAS:528:DC%2BD2sXktlOhsbk%3D 10.1007/s00114-006-0203-1 17216184 (Pubitemid 46632346)
23. PL Oliver E Bitoun KE Davies 2007 Comparative genetic analysis: the utility of mouse genetic systems for studying human monogenic disease Mamm Genome 18 412 424 10.1007/s00335-007-9014-8 17514509 (Pubitemid 47360413)
24. SJ Pettitt Q Liang XY Rairdan JL Moran HM Prosser, et al. 2009 Agouti C57BL/6N embryonic stem cells for mouse genetic resources Nat Methods 6 493 495 1:CAS:528:DC%2BD1MXnt1Sht7o%3D 10.1038/nmeth.1342 19525957
25. HR Qian S Huang 2005 Comparison of false discovery rate methods in identifying genes with differential expression Genomics 86 495 503 1:CAS:528:DC%2BD2MXpsFyqsbc%3D 10.1016/j.ygeno.2005.06.007 16054333 (Pubitemid 43293162)
26. SW Raudenbush 1997 Statistical analysis and optimal design for cluster randomized trials Psychol Methods 2 173 185 10.1037/1082-989X.2.2.173
27. SW Raudenbush L Xiao-Feng 2001 Effects of study duration, frequency of observation, and sample size on power in studies of group differences in polynomial change Psychol Methods 6 387 401 1:STN:280:DC%2BD38%2FltlGjsQ%3D%3D 10.1037/1082-989X.6.4.387 11778679
28. R Roncon-Albuquerque Jr M Moreira-Rodrigues B Faria AP Ferreira C Cerqueira, et al. 2008 Attenuation of the cardiovascular and metabolic complications of obesity in CD14 knockout mice Life Sci 83 502 510 1:CAS:528:DC%2BD1cXhtFekt7nN 10.1016/j.lfs.2008.07.021 18761356
29. R Rosnow R Rosenthal 1996 Computing contrasts, effect sizes, and counternulls on other people's published data: procedures for research consumers Pyschol Methods 1 331 340 10.1037/1082-989X.1.4.331
30. A Simpson J Uitto U Rodeck MG Mahoney 2001 Differential expression and subcellular distribution of the mouse metastasis-associated proteins Mta1 and Mta3 Gene 273 29 39 1:CAS:528:DC%2BD3MXlsFKhs74%3D 10.1016/S0378-1119(01)00563-7 11483358 (Pubitemid 32718724)
31. J Storey 2002 A direct approach to false discovery rates J R Stat Soc B 64 479 498 10.1111/1467-9868.00346
32. SE Whitesall JB Hoff AP Vollmer LG D Alecy 2004 Comparison of simultaneous measurement of mouse systolic arterial blood pressure by radiotelemetry and tail-cuff methods Am J Physiol 286 H2408 H2415 1:CAS:528:DC%2BD2cXkvFCrurg%3D
33. BP Zambrowicz AT Sands 2003 Knockouts model the 100 best-selling drugs-will they model the next 100? Nat Rev 2 38 51 1:CAS:528:DC%2BD3sXnt1Y%3D