Description Names Methods Author(s) See Also Examples
This class contains results of GWA analysis. This is
an list object, generated by scan.glm
, scan.haplo
, ccfast
,
qtscore
, emp.ccfast
, or emp.qtscore
.
list of names of SNPs tested
corresponding list of P-values of 1-d.f. (additive or allelic) test for association bestween SNP and trait
corresponding list of P-values of 2-d.f. (genotypic) test for association bestween SNP and trait
P-values from the 1-d.f. test for association bestween SNP and trait; the statistics is corrected for possible inflation
Effect of the B allele in allelic test (OR for ccfast
, difference from the mean for qtscore
and beta from the scan.glm
)
Effect of the AB genotype in genotypic test
Effect of the BB genotype in genotypic test
list of map positions of the SNPs
list of chromosomes the SNPs belong to
list of people used in analysis
list with elements "estimate" (inflation factor estimate, as computed using lower 90 percents of the distribution) and "se" (standard error of the estimate)
which formula/function call was used to comput P-values
family of the link function / nature of the test
signature(object = "scan.gwaa")
:
Plots summary of GWAA
signature(object = "scan.gwaa", i = "ANY", j = "ANY", drop = "ANY")
:
subsetting operation
signature(object = "scan.gwaa")
: extracts annotation
signature(object = "scan.gwaa")
: extracts id names
signature(object = "scan.gwaa")
: extracts snp names
signature(object = "scan.gwaa")
: extracts number of ids
signature(object = "scan.gwaa")
: extracts number of snps
signature(object = "scan.gwaa")
: extracts map
signature(object = "scan.gwaa")
: extracts chromosome
signature(object = "scan.gwaa")
: extracts strand
signature(object = "scan.gwaa")
: extracts coding
signature(object = "scan.gwaa")
: extracts reference allele
signature(object = "scan.gwaa")
: extracts effective allele
signature(object = "scan.gwaa")
: extracts male indicator
Yurii Aulchenko
ccfast
,
qtscore
,
scan.glm
,
scan.haplo
,
emp.ccfast
,
emp.qtscore
,
estlambda
,
plot.scan.gwaa
1 2 3 4 5 6 7 8 |
Loading required package: MASS
Loading required package: GenABEL.data
Warning messages:
1: In qtscore(qt3, data = srdta, snps = c(1:10)) :
11 observations deleted due to missingness
2: In qtscore(qt3, data = srdta, snps = c(1:10)) :
Number of observations < 100, Lambda estimate is unreliable
3: In qtscore(qt3, data = srdta, snps = c(1:10)) :
Lambda estimated < 1, set to 1
[1] "scan.gwaa"
attr(,"package")
[1] "GenABEL"
[1] 0.6206631 0.9213793 0.4251905 0.4294288 0.1198121 0.5191618 0.8107706
[8] 0.6362554 0.9243949 0.9661461
[1] 0.1439832 0.9410801 0.0917089 0.5468608 0.2434075 0.5306268 0.4335132
[8] 0.6085958 0.9949356 0.9683563
***** 'scan.gwaa' object *****
*** Produced with:
qtscore(formula = qt3, data = srdta, snpsubset = c(1:10))
*** Test used: gaussian
*** no. IDs used: 2489 ( p1 p2 p3 , ... )
*** Lambda: 1
*** Results table contains 10 rows and 9 columns
Chromosome Position Strand A1 A2 N effB se_effB chi2.1df
rs10 1 2500 + T G 2374 0.023464694 0.04741197 0.244936670
rs18 1 3500 + G A 2374 -0.003500682 0.03546917 0.009740993
rs29 1 5750 - G T 2364 0.037311507 0.04678860 0.635924486
rs65 1 13500 + A T 2368 0.028309255 0.03582681 0.624367794
rs73 1 14250 + A G 2375 -0.188851610 0.12140406 2.419774871
rs114 1 24500 + A T 2382 0.031861867 0.04942598 0.415558204
rs128 1 27000 - G T 2380 -0.023143838 0.09666144 0.057327665
rs130 1 27250 + A G 2369 -0.016360101 0.03459228 0.223673034
rs143 1 31000 + T G 2366 -0.003024973 0.03187565 0.009005852
rs150 1 33250 + C A 2358 0.001452399 0.03422051 0.001801354
P1df effAB effBB chi2.2df P2df Pc1df
rs10 0.6206631 0.071615177 -0.240840767 3.87611759 0.1439832 0.6206631
rs18 0.9213793 0.006817110 -0.023716040 0.12145406 0.9410801 0.9213793
rs29 0.4251905 0.089232254 -0.219461167 4.77827171 0.0917089 0.4251905
rs65 0.4294288 -0.034094995 0.017970471 1.20712189 0.5468608 0.4294288
rs73 0.1198121 -0.262479535 -0.217934080 2.82603627 0.2434075 0.1198121
rs114 0.5191618 0.055535069 -0.088809396 1.26739272 0.5306268 0.5191618
rs128 0.8107706 0.050057879 -0.446498776 1.67166603 0.4335132 0.8107706
rs130 0.6362554 0.048341579 0.003532344 0.99320185 0.6085958 0.6362554
rs143 0.9243949 -0.001558796 -0.006191393 0.01015456 0.9949356 0.9243949
rs150 0.9661461 0.018349298 0.011252223 0.06431026 0.9683563 0.9661461
___ Use 'results(object)' to get complete results table ___
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