2019
DOI: 10.1101/856351
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Trans-biobank analysis with 676,000 individuals elucidates the association of polygenic risk scores of complex traits with human lifespan

Abstract: 50Human genetics seeks a way to improve human health on a global scale. Expectations are 51 running high for polygenic risk scores (PRSs) to be translated into clinical practice to predict 52 an inborn susceptibility to health risks. While risk stratification based on PRS is one way to 53 promote population health, a strategy to utilize genetics to prioritize modifiable risk factors 54 and biomarkers driving heath outcome is also warranted. To this end, here we utilized PRSs 55 to comprehensively investigate t… Show more

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Cited by 18 publications
(21 citation statements)
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“…Analogously, the same SNPs (if polymorphic) were regressed against the survival of 135,983, unrelated, Japanese-ancestry individuals (97,365 censored, 30,976 deceased) from BioBank Japan 74,75 . In this analysis, a fixed-effect Cox's proportional hazards model was fitted using the survival R package v.2.41:…”
Section: Var(y)mentioning
confidence: 99%
“…Analogously, the same SNPs (if polymorphic) were regressed against the survival of 135,983, unrelated, Japanese-ancestry individuals (97,365 censored, 30,976 deceased) from BioBank Japan 74,75 . In this analysis, a fixed-effect Cox's proportional hazards model was fitted using the survival R package v.2.41:…”
Section: Var(y)mentioning
confidence: 99%
“…For each of the whole genome-wide association results of gut microbial features, we selected genetic variants that showed association at P < 1 × 10 À5 and performed linkage disequilibrium (LD) estimation with a threshold of LD r 2 < 0.1 for clumping analysis to obtain independent genetic predictors, consistent with previous studies. 9,15 Then, an unweighted polygenic risk score (PRS) was calculated for each individual using independent genetic variants from the whole genome-wide association results. Each variant was recoded as 0, 1, and 2, depending on the number of trait-specific risk increasing alleles carried by an individual.…”
Section: One-sample Mendelian Randomization Analysismentioning
confidence: 99%
“…Studies commonly quantify the impact of genetic variation on a single disease at a time [3][4][5] , or when considering multiple diseases [6][7][8] do not use a single metric that can capture overall disease burden. It is therefore challenging to assess the impact of genetic variation on overall health and to compare the total impact of different variants.…”
Section: Introductionmentioning
confidence: 99%