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421954 occurrences (No.40 in the rank) during 5 years in the PubMed. [cache]

386) As not all variants in a PRS may confer similar, or even any, risk among diverse populations, we also filtered out SNPs to assess whether variance explained was improved using psPRSs with fewer SNPs.

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PMID:34903281 DOI:10.1186/s40246-021-00370-z

2021 Human genomics

* Estimating prevalence of human traits among populations from polygenic risk scores.

- The genetic basis of phenotypic variation across populations has not been well explained for most traits. Several factors may cause disparities, from variation in environments to divergent population genetic structure. We hypothesized that a population-level polygenic risk score (PRS) can explain phenotypic variation among geographic populations based solely on risk allele frequencies. We applied a population-specific PRS (psPRS) to 26 populations from the 1000 Genomes to four phenotypes: lactase persistence (LP), melanoma, multiple sclerosis (MS) and height. Our models assumed additive genetic architecture among the polymorphisms in the psPRSs, as is convention. Linear psPRSs explained a significant proportion of trait variance ranging from 0.32 for height in men to 0.88 for melanoma. The best models for LP and height were linear, while those for melanoma and MS were nonlinear. As not all variants in a PRS may confer similar, or even any, risk among diverse populations, we also filtered out SNPs to assess whether variance explained was improved using psPRSs with fewer SNPs. Variance explained usually improved with fewer SNPs in the psPRS and was as high as 0.99 for height in men using only 548 of the initial 4208 SNPs. That reducing SNPs improves psPRSs performance may indicate that missing heritability is partially due to complex architecture that does not mandate additivity, undiscovered variants or spurious associations in the databases. We demonstrated that PRS-based analyses can be used across diverse populations and phenotypes for population prediction and that these comparisons can identify the universal risk variants.

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(1)139 of	(11)7 prediction	(21)3 decision	(31)2 markers
(2)49 factors	(12)6 stratification	(22)3 or	(32)2 mitigation
(3)46 for	(13)5 individuals	(23)3 patients	(33)2 population
(4)21 null	(14)4 genes	(24)2 (OR	(34)2 ratio
(5)19 factor	(15)4 populations	(25)2 among	(35)2 reduction
(6)16 and	(16)4 score	(26)2 communication	(36)2 screening
(7)13 assessment	(17)4 to	(27)2 communication,	(37)2 strategies
(8)12 in	(18)4 variants	(28)2 designations
(9)8 perception	(19)3 alleles	(29)2 group
(10)7 factors,	(20)3 assessment,	(30)2 is

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--- WordNet output for risk --- =>1.損害の恐れ, 危険, 冒険, リスク, 2.危険にさらす, 3.敢えてする, 被保険者, 被保険物, 危険にさらす, 賭けてみる Overview of noun risk The noun risk has 4 senses (first 2 from tagged texts) 1. (4) hazard, jeopardy, peril, risk, endangerment -- (a source of danger; a possibility of incurring loss or misfortune; "drinking alcohol is a health hazard") 2. (2) risk, peril, danger -- (a venture undertaken without regard to possible loss or injury; "he saw the rewards but not the risks of crime"; "there was a danger he would do the wrong thing") 3. risk, risk of infection -- (the probability of becoming infected given that exposure to an infectious agent has occurred) 4. risk, risk of exposure -- (the probability of being exposed to an infectious agent) Overview of verb risk The verb risk has 2 senses (first 2 from tagged texts) 1. (8) risk, put on the line, lay on the line -- (expose to a chance of loss or damage; "We risked losing a lot of money in this venture"; "Why risk your life?"; "She laid her job on the line when she told the boss that he was wrong") 2. (2) gamble, chance, risk, hazard, take chances, adventure, run a risk, take a chance -- (take a risk in the hope of a favorable outcome; "When you buy these stocks you are gambling") --- WordNet end ---