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Improving power in genome-wide association studies: weights tip the scale
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scholarly article
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title
Improving power in genome-wide association studies: weights tip the scale
(English)
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main subject
genome-wide association study
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author
Kathryn Roeder
object named as
Kathryn Roeder
series ordinal
1
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Larry A. Wasserman
series ordinal
3
object named as
Larry Wasserman
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author name string
B. Devlin
series ordinal
2
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publication date
2007
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published in
Genetic Epidemiology
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volume
31
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issue
7
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page(s)
741-747
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cites work
False discovery control with p-value weighting
1 reference
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Crossref
reference URL
https://api.crossref.org/works/10.1002%2FGEPI.20237
retrieved
7 January 2021
based on heuristic
inferred from DOI database lookup
Using linkage genome scans to improve power of association in genome scans
1 reference
stated in
Crossref
reference URL
https://api.crossref.org/works/10.1002%2FGEPI.20237
retrieved
7 January 2021
based on heuristic
inferred from DOI database lookup
Optimal two-stage genotyping in population-based association studies
1 reference
stated in
Crossref
reference URL
https://api.crossref.org/works/10.1002%2FGEPI.20237
retrieved
7 January 2021
based on heuristic
inferred from DOI database lookup
Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies
1 reference
stated in
Crossref
reference URL
https://api.crossref.org/works/10.1002%2FGEPI.20237
retrieved
7 January 2021
based on heuristic
inferred from DOI database lookup
Optimal two-stage genotyping designs for genome-wide association scans
1 reference
stated in
Crossref
reference URL
https://api.crossref.org/works/10.1002%2FGEPI.20237
retrieved
7 January 2021
based on heuristic
inferred from DOI database lookup
Identifiers
DOI
10.1002/GEPI.20237
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PubMed publication ID
17549760
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