The percentage of cases of a disease in a given population that are theoretically explained by a certain genotype (or cause, such as exposure to a mutagen). To put it another way, this is how many occurences of a disease wouldn't occur if this genotype (or exposure) didn't exist. Example: by itself, even the most significant (SNP) genotype found so far for schizophrenia probably accounts for only 1-2% of schizophrenic diagnoses. Also known as the population attributable risk.
The population-attributable fraction (Fp) for each SNP was calculated as
where Ri indexes the estimate associated with heterozygous and homozygous carriage of risk-increasing genotypes compared to the normal heterozygote, and Fi denotes the genotype frequencies in the controls.
See http://www.nature.com/nature/journal/v466/n7302/full/nature09114.html#/affil-auth
See http://www.snpedia.com/index.php/Glossary
The population-attributable fraction (Fp) for each SNP was calculated as
See http://www.nature.com/nature/journal/v466/n7302/full/nature09114.html#/affil-auth
See http://www.snpedia.com/index.php/Glossary
See http://www.apo-sys.eu/aposys/Publications/Publications2010-pdf/Prasad%20R.pdf
We calculated the population attributable fraction (PAF) as26
where OR is the odds ratio and q is the proportion of exposed individuals (proportion of individuals with the risk allele) in the control group, which is the A allele of rs1934179 in DGKK.
See http://www.nature.com/ng/journal/vaop/ncurrent/full/ng.721.html
The population genetic attributable risk percent (PAR) was estimated for each variant, which defines what percentage of the total risk for lung cancer is due to genetic effect of that variant:
where pi is the prevalence of that i-th genotype associated with lung cancer among control subjects and ORi is OR associated with that genotype (11, 12). We used the lowest-risk genotype as the reference to estimate ORs in the above logistic regression model with adjustment of covariates. Similarly, we also jointly estimated PAR for the two loci (rs1051730 and rs481134) using haplotype-specific ORs.
where OR is the odds ratio and q is the proportion of exposed individuals (proportion of individuals with the risk allele) in the control group, which is the A allele of rs1934179 in DGKK.
See http://www.nature.com/ng/journal/vaop/ncurrent/full/ng.721.html
The population genetic attributable risk percent (PAR) was estimated for each variant, which defines what percentage of the total risk for lung cancer is due to genetic effect of that variant:
where pi is the prevalence of that i-th genotype associated with lung cancer among control subjects and ORi is OR associated with that genotype (11, 12). We used the lowest-risk genotype as the reference to estimate ORs in the above logistic regression model with adjustment of covariates. Similarly, we also jointly estimated PAR for the two loci (rs1051730 and rs481134) using haplotype-specific ORs.
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