p-values Search Results


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Broad Institute Inc genome wide association data ( p-values)
We show that new information on the functional basis of the observed associations can be inferred from the biochemical properties of the affected metabolites. Moreover, both genes were previously reported to be associated with common clinical phenotypes, FADS1 in an extent which would not attract immediate attention for follow-up in a <t>genome-wide</t> context. Since several genes and pathways are involved in the development of a clinical endpoint, the IP focuses on one pathway (e.g., cholesterol or a given metabotype) which is already known to be involved in the clinical endpoint (e.g. coronary artery disease (CAD)). It is much easier to identify the genes which are associated with the IP since the associations of genetic variation with the IP is much stronger than with the clinical endpoint. Environmental factors interact at different levels with the IPs and thereby add to the variability in the system. The closer the IP is related to the genetic polymorphism, the stronger the <t>association</t> is expected to be. In our case the association reflects enzymatic activity of FADS1 and LIPC which results in very strong effect sizes of the genetically determined metabotype.
Genome Wide Association Data ( P Values), supplied by Broad Institute 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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Amstat Industries p-values
We show that new information on the functional basis of the observed associations can be inferred from the biochemical properties of the affected metabolites. Moreover, both genes were previously reported to be associated with common clinical phenotypes, FADS1 in an extent which would not attract immediate attention for follow-up in a <t>genome-wide</t> context. Since several genes and pathways are involved in the development of a clinical endpoint, the IP focuses on one pathway (e.g., cholesterol or a given metabotype) which is already known to be involved in the clinical endpoint (e.g. coronary artery disease (CAD)). It is much easier to identify the genes which are associated with the IP since the associations of genetic variation with the IP is much stronger than with the clinical endpoint. Environmental factors interact at different levels with the IPs and thereby add to the variability in the system. The closer the IP is related to the genetic polymorphism, the stronger the <t>association</t> is expected to be. In our case the association reflects enzymatic activity of FADS1 and LIPC which results in very strong effect sizes of the genetically determined metabotype.
P Values, supplied by Amstat Industries, 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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23andMe p values of rs2808772
We show that new information on the functional basis of the observed associations can be inferred from the biochemical properties of the affected metabolites. Moreover, both genes were previously reported to be associated with common clinical phenotypes, FADS1 in an extent which would not attract immediate attention for follow-up in a <t>genome-wide</t> context. Since several genes and pathways are involved in the development of a clinical endpoint, the IP focuses on one pathway (e.g., cholesterol or a given metabotype) which is already known to be involved in the clinical endpoint (e.g. coronary artery disease (CAD)). It is much easier to identify the genes which are associated with the IP since the associations of genetic variation with the IP is much stronger than with the clinical endpoint. Environmental factors interact at different levels with the IPs and thereby add to the variability in the system. The closer the IP is related to the genetic polymorphism, the stronger the <t>association</t> is expected to be. In our case the association reflects enzymatic activity of FADS1 and LIPC which results in very strong effect sizes of the genetically determined metabotype.
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Broad Institute Inc fdr and p-values
We show that new information on the functional basis of the observed associations can be inferred from the biochemical properties of the affected metabolites. Moreover, both genes were previously reported to be associated with common clinical phenotypes, FADS1 in an extent which would not attract immediate attention for follow-up in a <t>genome-wide</t> context. Since several genes and pathways are involved in the development of a clinical endpoint, the IP focuses on one pathway (e.g., cholesterol or a given metabotype) which is already known to be involved in the clinical endpoint (e.g. coronary artery disease (CAD)). It is much easier to identify the genes which are associated with the IP since the associations of genetic variation with the IP is much stronger than with the clinical endpoint. Environmental factors interact at different levels with the IPs and thereby add to the variability in the system. The closer the IP is related to the genetic polymorphism, the stronger the <t>association</t> is expected to be. In our case the association reflects enzymatic activity of FADS1 and LIPC which results in very strong effect sizes of the genetically determined metabotype.
Fdr And P Values, supplied by Broad Institute 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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CHOWDHURY AND CO LUTON LIMITED forward-selecting based on p-values
We show that new information on the functional basis of the observed associations can be inferred from the biochemical properties of the affected metabolites. Moreover, both genes were previously reported to be associated with common clinical phenotypes, FADS1 in an extent which would not attract immediate attention for follow-up in a <t>genome-wide</t> context. Since several genes and pathways are involved in the development of a clinical endpoint, the IP focuses on one pathway (e.g., cholesterol or a given metabotype) which is already known to be involved in the clinical endpoint (e.g. coronary artery disease (CAD)). It is much easier to identify the genes which are associated with the IP since the associations of genetic variation with the IP is much stronger than with the clinical endpoint. Environmental factors interact at different levels with the IPs and thereby add to the variability in the system. The closer the IP is related to the genetic polymorphism, the stronger the <t>association</t> is expected to be. In our case the association reflects enzymatic activity of FADS1 and LIPC which results in very strong effect sizes of the genetically determined metabotype.
Forward Selecting Based On P Values, supplied by CHOWDHURY AND CO LUTON LIMITED, 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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Environmetrics Pty Ltd p-values
We show that new information on the functional basis of the observed associations can be inferred from the biochemical properties of the affected metabolites. Moreover, both genes were previously reported to be associated with common clinical phenotypes, FADS1 in an extent which would not attract immediate attention for follow-up in a <t>genome-wide</t> context. Since several genes and pathways are involved in the development of a clinical endpoint, the IP focuses on one pathway (e.g., cholesterol or a given metabotype) which is already known to be involved in the clinical endpoint (e.g. coronary artery disease (CAD)). It is much easier to identify the genes which are associated with the IP since the associations of genetic variation with the IP is much stronger than with the clinical endpoint. Environmental factors interact at different levels with the IPs and thereby add to the variability in the system. The closer the IP is related to the genetic polymorphism, the stronger the <t>association</t> is expected to be. In our case the association reflects enzymatic activity of FADS1 and LIPC which results in very strong effect sizes of the genetically determined metabotype.
P Values, supplied by Environmetrics Pty Ltd, 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/product/p-values/p+values/10__1002_slash_env__2142-221-29-30
Average 90 stars, based on 1 article reviews
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RStudio manhattan and quantile–quantile (qq) plots with p values
We show that new information on the functional basis of the observed associations can be inferred from the biochemical properties of the affected metabolites. Moreover, both genes were previously reported to be associated with common clinical phenotypes, FADS1 in an extent which would not attract immediate attention for follow-up in a <t>genome-wide</t> context. Since several genes and pathways are involved in the development of a clinical endpoint, the IP focuses on one pathway (e.g., cholesterol or a given metabotype) which is already known to be involved in the clinical endpoint (e.g. coronary artery disease (CAD)). It is much easier to identify the genes which are associated with the IP since the associations of genetic variation with the IP is much stronger than with the clinical endpoint. Environmental factors interact at different levels with the IPs and thereby add to the variability in the system. The closer the IP is related to the genetic polymorphism, the stronger the <t>association</t> is expected to be. In our case the association reflects enzymatic activity of FADS1 and LIPC which results in very strong effect sizes of the genetically determined metabotype.
Manhattan And Quantile–Quantile (Qq) Plots With P Values, supplied by RStudio, 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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Image Search Results


We show that new information on the functional basis of the observed associations can be inferred from the biochemical properties of the affected metabolites. Moreover, both genes were previously reported to be associated with common clinical phenotypes, FADS1 in an extent which would not attract immediate attention for follow-up in a genome-wide context. Since several genes and pathways are involved in the development of a clinical endpoint, the IP focuses on one pathway (e.g., cholesterol or a given metabotype) which is already known to be involved in the clinical endpoint (e.g. coronary artery disease (CAD)). It is much easier to identify the genes which are associated with the IP since the associations of genetic variation with the IP is much stronger than with the clinical endpoint. Environmental factors interact at different levels with the IPs and thereby add to the variability in the system. The closer the IP is related to the genetic polymorphism, the stronger the association is expected to be. In our case the association reflects enzymatic activity of FADS1 and LIPC which results in very strong effect sizes of the genetically determined metabotype.

Journal: PLoS Genetics

Article Title: Genetics Meets Metabolomics: A Genome-Wide Association Study of Metabolite Profiles in Human Serum

doi: 10.1371/journal.pgen.1000282

Figure Lengend Snippet: We show that new information on the functional basis of the observed associations can be inferred from the biochemical properties of the affected metabolites. Moreover, both genes were previously reported to be associated with common clinical phenotypes, FADS1 in an extent which would not attract immediate attention for follow-up in a genome-wide context. Since several genes and pathways are involved in the development of a clinical endpoint, the IP focuses on one pathway (e.g., cholesterol or a given metabotype) which is already known to be involved in the clinical endpoint (e.g. coronary artery disease (CAD)). It is much easier to identify the genes which are associated with the IP since the associations of genetic variation with the IP is much stronger than with the clinical endpoint. Environmental factors interact at different levels with the IPs and thereby add to the variability in the system. The closer the IP is related to the genetic polymorphism, the stronger the association is expected to be. In our case the association reflects enzymatic activity of FADS1 and LIPC which results in very strong effect sizes of the genetically determined metabotype.

Article Snippet: Genome wide association data ( p -values) from three recent GWA studies was downloaded on 21 February 2008 from http://www.broad.mit.edu/diabetes/scandinavs/metatraits.html (Broad Institute ) and http://www.sph.umich.edu/csg/abecasis/public/lipids/ (University of Michigan ) and on 14 March 2008 from http://www.wtccc.org.uk/info/summary_stats.shtml (Wellcome Trust Case Control Consortium ).

Techniques: Functional Assay, Genome Wide, Activity Assay