self reported effort data analysis Search Results


93
MathWorks Inc self reported effort data analysis
Self Reported Effort Data Analysis, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
STATA Corporation 12.0 2011 software
Multiple <t> variables </t> <t> analysis: </t> Poisson regression model for influenza vaccination among the elderly (n = 1,341). São Paulo, Brazil, 2010.
12.0 2011 Software, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
SPSS Inc version 28.0
Multiple <t> variables </t> <t> analysis: </t> Poisson regression model for influenza vaccination among the elderly (n = 1,341). São Paulo, Brazil, 2010.
Version 28.0, supplied by SPSS Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
23andMe self-report cutaneous melanoma gwas data
−log 10 of two-sided P-values for SNPs derived from a fixed-effects inverse variance weighted meta-analysis of logistic regression <t>GWAS</t> (Y-axis) plotted against SNP chromosome positions for the total meta-analysis (36,760 melanoma cases and 375,188 controls; for full details of analysis and covariates included see the ). The y-axis is limited to −log 10 (1×10 −25 ) to truncate strong signals at loci such as MC1R and ASIP . The full plot is displayed in . To account for multiple testing, SNPs with a P-value less than 5×10 −8 are deemed significant.
Self Report Cutaneous Melanoma Gwas Data, supplied by 23andMe, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
SAS institute system version 8.1
−log 10 of two-sided P-values for SNPs derived from a fixed-effects inverse variance weighted meta-analysis of logistic regression <t>GWAS</t> (Y-axis) plotted against SNP chromosome positions for the total meta-analysis (36,760 melanoma cases and 375,188 controls; for full details of analysis and covariates included see the ). The y-axis is limited to −log 10 (1×10 −25 ) to truncate strong signals at loci such as MC1R and ASIP . The full plot is displayed in . To account for multiple testing, SNPs with a P-value less than 5×10 −8 are deemed significant.
System Version 8.1, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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system version 8.1 - by Bioz Stars, 2026-04
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90
TIBCO v. 13.0
−log 10 of two-sided P-values for SNPs derived from a fixed-effects inverse variance weighted meta-analysis of logistic regression <t>GWAS</t> (Y-axis) plotted against SNP chromosome positions for the total meta-analysis (36,760 melanoma cases and 375,188 controls; for full details of analysis and covariates included see the ). The y-axis is limited to −log 10 (1×10 −25 ) to truncate strong signals at loci such as MC1R and ASIP . The full plot is displayed in . To account for multiple testing, SNPs with a P-value less than 5×10 −8 are deemed significant.
V. 13.0, supplied by TIBCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
SPSS Inc version 24.0
−log 10 of two-sided P-values for SNPs derived from a fixed-effects inverse variance weighted meta-analysis of logistic regression <t>GWAS</t> (Y-axis) plotted against SNP chromosome positions for the total meta-analysis (36,760 melanoma cases and 375,188 controls; for full details of analysis and covariates included see the ). The y-axis is limited to −log 10 (1×10 −25 ) to truncate strong signals at loci such as MC1R and ASIP . The full plot is displayed in . To account for multiple testing, SNPs with a P-value less than 5×10 −8 are deemed significant.
Version 24.0, supplied by SPSS Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/version 24.0/product/SPSS Inc
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Image Search Results


Multiple  variables   analysis:  Poisson regression model for influenza vaccination among the elderly (n = 1,341). São Paulo, Brazil, 2010.

Journal: PLoS ONE

Article Title: Factors Associated to Vaccination against Influenza among Elderly in a Large Brazilian Metropolis

doi: 10.1371/journal.pone.0123840

Figure Lengend Snippet: Multiple variables analysis: Poisson regression model for influenza vaccination among the elderly (n = 1,341). São Paulo, Brazil, 2010.

Article Snippet: At last, the use of health services were adjusted for themselves, socio-demographic, behavioral and self-reported health variables Data analysis was used the Stata 12.0 2011 software (Stata Corporation, College Station, TX, USA).

Techniques: Activity Assay

−log 10 of two-sided P-values for SNPs derived from a fixed-effects inverse variance weighted meta-analysis of logistic regression GWAS (Y-axis) plotted against SNP chromosome positions for the total meta-analysis (36,760 melanoma cases and 375,188 controls; for full details of analysis and covariates included see the ). The y-axis is limited to −log 10 (1×10 −25 ) to truncate strong signals at loci such as MC1R and ASIP . The full plot is displayed in . To account for multiple testing, SNPs with a P-value less than 5×10 −8 are deemed significant.

Journal: Nature genetics

Article Title: Genome-wide association meta-analyses combining multiple risk phenotypes provides insights into the genetic architecture of cutaneous melanoma susceptibility

doi: 10.1038/s41588-020-0611-8

Figure Lengend Snippet: −log 10 of two-sided P-values for SNPs derived from a fixed-effects inverse variance weighted meta-analysis of logistic regression GWAS (Y-axis) plotted against SNP chromosome positions for the total meta-analysis (36,760 melanoma cases and 375,188 controls; for full details of analysis and covariates included see the ). The y-axis is limited to −log 10 (1×10 −25 ) to truncate strong signals at loci such as MC1R and ASIP . The full plot is displayed in . To account for multiple testing, SNPs with a P-value less than 5×10 −8 are deemed significant.

Article Snippet: The total meta-analysis includes self-report cutaneous melanoma GWAS data from the UK Biobank and 23andMe.

Techniques: Derivative Assay

Quantile-quantile plots of negative log 10 two sided P-value derived from a fixed-effects inverse-variance weighted meta-analysis of log(OR) effect-sizes derived from the logistic regression GWAS listed in . All confirmed and self-report cases are included, with a total sample size of 36,760 melanoma cases and 375,188 controls.

Journal: Nature genetics

Article Title: Genome-wide association meta-analyses combining multiple risk phenotypes provides insights into the genetic architecture of cutaneous melanoma susceptibility

doi: 10.1038/s41588-020-0611-8

Figure Lengend Snippet: Quantile-quantile plots of negative log 10 two sided P-value derived from a fixed-effects inverse-variance weighted meta-analysis of log(OR) effect-sizes derived from the logistic regression GWAS listed in . All confirmed and self-report cases are included, with a total sample size of 36,760 melanoma cases and 375,188 controls.

Article Snippet: The total meta-analysis includes self-report cutaneous melanoma GWAS data from the UK Biobank and 23andMe.

Techniques: Derivative Assay

Negative log 10 two sided P-value derived from a fixed-effects inverse-variance weighted meta-analysis of log(OR) effect-sizes derived from the logistic regression GWAS (y-axis) are plotted by their chromosome position. The confirmed-only analysis included 30,134 cases with histopathologically confirmed CM, and 81,415 controls. The total CM meta-analysis includes all confirmed and self-report cases, with a total sample size of 36,760 CM cases and 375,188 controls. Multiple-testing corrected genome-wide significance threshold was P<5×10 −8 . We display in order the total CM meta-analysis without limiting the y-axis; the pathologically confirmed CM cases only meta-analysis with the y-axis limited to 1×10 −25 and without a limit to more clearly display loci other than MC1R.

Journal: Nature genetics

Article Title: Genome-wide association meta-analyses combining multiple risk phenotypes provides insights into the genetic architecture of cutaneous melanoma susceptibility

doi: 10.1038/s41588-020-0611-8

Figure Lengend Snippet: Negative log 10 two sided P-value derived from a fixed-effects inverse-variance weighted meta-analysis of log(OR) effect-sizes derived from the logistic regression GWAS (y-axis) are plotted by their chromosome position. The confirmed-only analysis included 30,134 cases with histopathologically confirmed CM, and 81,415 controls. The total CM meta-analysis includes all confirmed and self-report cases, with a total sample size of 36,760 CM cases and 375,188 controls. Multiple-testing corrected genome-wide significance threshold was P<5×10 −8 . We display in order the total CM meta-analysis without limiting the y-axis; the pathologically confirmed CM cases only meta-analysis with the y-axis limited to 1×10 −25 and without a limit to more clearly display loci other than MC1R.

Article Snippet: The total meta-analysis includes self-report cutaneous melanoma GWAS data from the UK Biobank and 23andMe.

Techniques: Derivative Assay, Genome Wide

Loci previously identified in cutaneous melanoma susceptibility  GWAS.  CHR, BP: hg19 positional information. rsID : dbSNP142 rs number. Pub lications. We also summarize <xref ref-type= Supplementary Table 3 ; Gene prioritizes the functional target if known, followed by melanocyte or skin tissue TWAS data, or finally the closest protein coding gene; ‘Multiple’ indicates three or more genes. GWS : We indicate with yes (Y) or no (N) whether this locus is genome-wide significant (P < 5 × 10 −8 ) in the total meta-analysis. The effect allele ( EA ) and non-effect allele ( NEA ) are listed, as are the effect allele Freq uency in the HRC reference panel 107 ; total fixed-effects inverse-variance weighted meta-analysis of logistic regression two-sided P-value ( P meta ) and Odds Ratio ( OR ) are from an additive model and are reported per-allele with respect to the EA. Reported results are for the total meta-analysis (36,760 melanoma cases and 375,188 controls; for full details of analysis and covariates included see Online Methods ). We also indicate whether this locus is associated with other traits: Nevi : Pleiotropically associated with cutaneous melanoma and nevus count ( Online Methods ; Supplementary Table 9 ); Hair : Pleiotropically associated with cutaneous melanoma and hair color ( Online Methods ; Supplementary Table 10 ). Tanning response ( Tan ) and Telomere length ( Telo ) indicates the lead SNP is associated with these traits when corrected for multiple testing ( Online Methods , Supplementary Table 5 )." width="100%" height="100%">

Journal: Nature genetics

Article Title: Genome-wide association meta-analyses combining multiple risk phenotypes provides insights into the genetic architecture of cutaneous melanoma susceptibility

doi: 10.1038/s41588-020-0611-8

Figure Lengend Snippet: Loci previously identified in cutaneous melanoma susceptibility GWAS. CHR, BP: hg19 positional information. rsID : dbSNP142 rs number. Pub lications. We also summarize Supplementary Table 3 ; Gene prioritizes the functional target if known, followed by melanocyte or skin tissue TWAS data, or finally the closest protein coding gene; ‘Multiple’ indicates three or more genes. GWS : We indicate with yes (Y) or no (N) whether this locus is genome-wide significant (P < 5 × 10 −8 ) in the total meta-analysis. The effect allele ( EA ) and non-effect allele ( NEA ) are listed, as are the effect allele Freq uency in the HRC reference panel 107 ; total fixed-effects inverse-variance weighted meta-analysis of logistic regression two-sided P-value ( P meta ) and Odds Ratio ( OR ) are from an additive model and are reported per-allele with respect to the EA. Reported results are for the total meta-analysis (36,760 melanoma cases and 375,188 controls; for full details of analysis and covariates included see Online Methods ). We also indicate whether this locus is associated with other traits: Nevi : Pleiotropically associated with cutaneous melanoma and nevus count ( Online Methods ; Supplementary Table 9 ); Hair : Pleiotropically associated with cutaneous melanoma and hair color ( Online Methods ; Supplementary Table 10 ). Tanning response ( Tan ) and Telomere length ( Telo ) indicates the lead SNP is associated with these traits when corrected for multiple testing ( Online Methods , Supplementary Table 5 ).

Article Snippet: The total meta-analysis includes self-report cutaneous melanoma GWAS data from the UK Biobank and 23andMe.

Techniques: Functional Assay, Genome Wide, Significance Assay

Novel loci not previously identified in cutaneous melanoma  GWAS.  CHR, BP: hg19 position. rsID : dbSNP142 rs number. Gene prioritizes the functional target if known, followed by melanocyte or skin tissue TWAS data, or finally the closest protein coding gene; multiple indicates three or more genes ( <xref ref-type= Supplementary Table 3 ). The effect allele ( EA ) and non-effect allele ( NEA ) are listed, as are the effect allele Freq uency in the HRC reference panel 107 ; total fixed-effects inverse-variance weighted meta-analysis of logistic regression two-sided P-values and Odds Ratio ( OR ) are with respect to the EA. Reported results are for the total meta-analysis (36,760 melanoma cases and 375,188 controls; for full details of analysis and covariates included see Online Methods ). Nevi : Associated with cutaneous melanoma+nevus count ( Online Methods ; Supplementary Table 9 ); Hair : Associated with cutaneous melanoma+hair color ( Online Methods ; Supplementary Table 10 ). Tanning response ( Tan ) and Telomere length ( Telo ) indicate lead SNP is associated with these traits when corrected for multiple testing ( Online Methods , Supplementary Table 5 )." width="100%" height="100%">

Journal: Nature genetics

Article Title: Genome-wide association meta-analyses combining multiple risk phenotypes provides insights into the genetic architecture of cutaneous melanoma susceptibility

doi: 10.1038/s41588-020-0611-8

Figure Lengend Snippet: Novel loci not previously identified in cutaneous melanoma GWAS. CHR, BP: hg19 position. rsID : dbSNP142 rs number. Gene prioritizes the functional target if known, followed by melanocyte or skin tissue TWAS data, or finally the closest protein coding gene; multiple indicates three or more genes ( Supplementary Table 3 ). The effect allele ( EA ) and non-effect allele ( NEA ) are listed, as are the effect allele Freq uency in the HRC reference panel 107 ; total fixed-effects inverse-variance weighted meta-analysis of logistic regression two-sided P-values and Odds Ratio ( OR ) are with respect to the EA. Reported results are for the total meta-analysis (36,760 melanoma cases and 375,188 controls; for full details of analysis and covariates included see Online Methods ). Nevi : Associated with cutaneous melanoma+nevus count ( Online Methods ; Supplementary Table 9 ); Hair : Associated with cutaneous melanoma+hair color ( Online Methods ; Supplementary Table 10 ). Tanning response ( Tan ) and Telomere length ( Telo ) indicate lead SNP is associated with these traits when corrected for multiple testing ( Online Methods , Supplementary Table 5 ).

Article Snippet: The total meta-analysis includes self-report cutaneous melanoma GWAS data from the UK Biobank and 23andMe.

Techniques: Functional Assay

Quantile-quantile plots of negative log 10 two sided P-value derived from a fixed-effects inverse-variance weighted meta-analysis of log(OR) effect-sizes derived from the logistic regression GWAS listed in . Only cases with histopathologically confirmed CM are included, with a total sample size of 30,134 melanoma cases and 81,415 controls.

Journal: Nature genetics

Article Title: Genome-wide association meta-analyses combining multiple risk phenotypes provides insights into the genetic architecture of cutaneous melanoma susceptibility

doi: 10.1038/s41588-020-0611-8

Figure Lengend Snippet: Quantile-quantile plots of negative log 10 two sided P-value derived from a fixed-effects inverse-variance weighted meta-analysis of log(OR) effect-sizes derived from the logistic regression GWAS listed in . Only cases with histopathologically confirmed CM are included, with a total sample size of 30,134 melanoma cases and 81,415 controls.

Article Snippet: The total meta-analysis includes self-report cutaneous melanoma GWAS data from the UK Biobank and 23andMe.

Techniques: Derivative Assay

Novel pleiotropic associations with cutaneous melanoma and nevus count or hair color. Reported cutaneous melanoma P-values are from the total fixed-effects inverse-variance weighted meta-analysis of logistic regression two-sided P-values from GWAS representing a total of 36,760 melanoma cases and 375,188 controls ( <xref ref-type= Online Methods ). Results for the lead variants from pleiotropic loci (lead SNP reaching P < 5 × 10 −8 following a Stouffers sample size weighted meta-analysis of cutaneous melanoma P-values and either Nevus GWAS meta-analysis (N = 65,777) or Hair Color GWAS (N=352,662) and GWAS-PW Model 3 prior probability of association (PPA) > 0.5, Online Methods ) distinct to those in the total cutaneous melanoma meta-analysis ( Table 1 , 2 ). CHR, BP: hg19 positional information. rsID : dbSNP142 rs number. Gene prioritizes genes that the variant is an eQTL for in GTEx skin datasets or otherwise is the closest protein coding gene; multiple indicates three or more genes. We report the total cutaneous melanoma meta-analysis P ( CM P ), and the CM+nevus or CM+hair color Stouffer’s meta-analysis fixed effect P-value. Full results can be found in Supplementary Tables 7 and 10 ." width="100%" height="100%">

Journal: Nature genetics

Article Title: Genome-wide association meta-analyses combining multiple risk phenotypes provides insights into the genetic architecture of cutaneous melanoma susceptibility

doi: 10.1038/s41588-020-0611-8

Figure Lengend Snippet: Novel pleiotropic associations with cutaneous melanoma and nevus count or hair color. Reported cutaneous melanoma P-values are from the total fixed-effects inverse-variance weighted meta-analysis of logistic regression two-sided P-values from GWAS representing a total of 36,760 melanoma cases and 375,188 controls ( Online Methods ). Results for the lead variants from pleiotropic loci (lead SNP reaching P < 5 × 10 −8 following a Stouffers sample size weighted meta-analysis of cutaneous melanoma P-values and either Nevus GWAS meta-analysis (N = 65,777) or Hair Color GWAS (N=352,662) and GWAS-PW Model 3 prior probability of association (PPA) > 0.5, Online Methods ) distinct to those in the total cutaneous melanoma meta-analysis ( Table 1 , 2 ). CHR, BP: hg19 positional information. rsID : dbSNP142 rs number. Gene prioritizes genes that the variant is an eQTL for in GTEx skin datasets or otherwise is the closest protein coding gene; multiple indicates three or more genes. We report the total cutaneous melanoma meta-analysis P ( CM P ), and the CM+nevus or CM+hair color Stouffer’s meta-analysis fixed effect P-value. Full results can be found in Supplementary Tables 7 and 10 .

Article Snippet: The total meta-analysis includes self-report cutaneous melanoma GWAS data from the UK Biobank and 23andMe.

Techniques: Variant Assay

LD score regression was performed for the top 4000 (A) 2000 (B) and 1000 (C) tissue-specific genes from melanocyte and GTEx tissue types (v7 datasets), to assess the enrichment of melanoma heritability in these genomic regions using summary statistics from Total CM GWAS meta-analysis. The level of enrichment and P-values are shown, with an FDR = 0.05 cutoff marked as a dashed horizontal line (See for statistical test). Tissue categories are color-coded, and a subset of top individual tissue types are shown on the plot. Tissue types from “Skin” category including melanocytes are highlighted in magenta.

Journal: Nature genetics

Article Title: Genome-wide association meta-analyses combining multiple risk phenotypes provides insights into the genetic architecture of cutaneous melanoma susceptibility

doi: 10.1038/s41588-020-0611-8

Figure Lengend Snippet: LD score regression was performed for the top 4000 (A) 2000 (B) and 1000 (C) tissue-specific genes from melanocyte and GTEx tissue types (v7 datasets), to assess the enrichment of melanoma heritability in these genomic regions using summary statistics from Total CM GWAS meta-analysis. The level of enrichment and P-values are shown, with an FDR = 0.05 cutoff marked as a dashed horizontal line (See for statistical test). Tissue categories are color-coded, and a subset of top individual tissue types are shown on the plot. Tissue types from “Skin” category including melanocytes are highlighted in magenta.

Article Snippet: The total meta-analysis includes self-report cutaneous melanoma GWAS data from the UK Biobank and 23andMe.

Techniques:

Genes identified by TWAS outside of regions identified in the total cutaneous melanoma  GWAS  meta-analysis. For each gene with a Bonferroni-corrected P-value cutoff in melanocytes (P TWAS < 3.22 × 10 −6 ), or skin-related tissue types (P TWAS < 5.28 × 10 −7 ) that does not overlap with an existing cutaneous melanoma region we report the local peak cutaneous melanoma variant from the total confirmed plus self-report  GWAS  meta-analysis, and TWAS Z score. Full results for all genes with a P TWAS < 1.48 × 10 −5 can be found in <xref ref-type= Supplementary Tables 10 , 12 . CBWD1 and C9orf66 are within 1 Mb of each other and are merged into a single locus. * RP11-676J12.7 was identified using sun-exposed skin expression data from GTEx ( Supplementary Table 12 ), while all other genes were identified using melanocyte gene expression." width="100%" height="100%">

Journal: Nature genetics

Article Title: Genome-wide association meta-analyses combining multiple risk phenotypes provides insights into the genetic architecture of cutaneous melanoma susceptibility

doi: 10.1038/s41588-020-0611-8

Figure Lengend Snippet: Genes identified by TWAS outside of regions identified in the total cutaneous melanoma GWAS meta-analysis. For each gene with a Bonferroni-corrected P-value cutoff in melanocytes (P TWAS < 3.22 × 10 −6 ), or skin-related tissue types (P TWAS < 5.28 × 10 −7 ) that does not overlap with an existing cutaneous melanoma region we report the local peak cutaneous melanoma variant from the total confirmed plus self-report GWAS meta-analysis, and TWAS Z score. Full results for all genes with a P TWAS < 1.48 × 10 −5 can be found in Supplementary Tables 10 , 12 . CBWD1 and C9orf66 are within 1 Mb of each other and are merged into a single locus. * RP11-676J12.7 was identified using sun-exposed skin expression data from GTEx ( Supplementary Table 12 ), while all other genes were identified using melanocyte gene expression.

Article Snippet: The total meta-analysis includes self-report cutaneous melanoma GWAS data from the UK Biobank and 23andMe.

Techniques: Variant Assay, Expressing, Gene Expression