Evidence map›Paper›PMID 25893220›Full record

ArticleAnnals of gerontology and geriatric research

Genetic Structures of Population Cohorts Change with Increasing Age: Implications for Genetic Analyses of Human aging and Life Span.

Anatoliy I Yashin, Deqing Wu, Konstantin G Arbeev, Liubov S Arbeeva, Igor Akushevich, Alexander Kulminski, Irina Culminskaya, Eric Stallard, Svetlana V Ukraintseva

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in Annals of gerontology and geriatric research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  10. Alzheimer's & dementia (Amsterdam, Netherlands)
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Anatoliy I YashinBiodemography of Aging Research Unit, Duke University, USA.
Deqing WuDuke Cancer Institute, Duke University, USA.
Konstantin G Arbeev
Liubov S Arbeeva
Igor Akushevich
Alexander Kulminski
Irina Culminskaya
Eric Stallard
Svetlana V Ukraintseva
Duke Energy (United States) · USSocial Science Research Council · US

Funding

STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI Herman Pontzer · 2009 to 2026
$12.2M
THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI ALBERTS, SUSAN C. · 2009 to 2020
$10.2M
Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$8.7M
Genetics of changes in population pyramids: Implications for health forecasting with a focus on Alzheimer's Disease and related dementiasRF1AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2019 to 2019
$3.1M
YASHIN Admin Supp: Time Trends in Alzheimer's Disease: Addressing the Changing Role of Risk Factors and Instrument ValidityR01AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$3.1M
SLEEP AND ENTRAINMENT OF SCN FUNCTIONR01HL064278 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI STROHL, KINGMAN PERKINS · 1999 to 2002
$871k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N02 HL064278NIA NIH HHS P01 AG043352NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG046860NIA NIH HHS RF1 AG046860
6 · The paper itself

Abstract

backgroundCorrecting for the potential effects of population stratification is an important issue in genome wide association studies (GWAS) of complex traits. Principal component analysis (PCA) of the genetic structure of the population under study with subsequent incorporation of the first several principal components (PCs) in the GWAS regression model is often used for this purpose. PROBLEM: For longevity related traits such a correction may negatively affect the accuracy of genetic analyses. This is because PCs may capture genetic structure induced by mortality selection processes in genetically heterogeneous populations. DATA AND

methodsWe used the Framingham Heart Study data on life span and on individual genetic background to construct two sets of PCs. One was constructed to separate population stratification due to differences in ancestry from that induced by mortality selection. The other was constructed using genetic data on individuals of different ages without attempting to separate the ancestry effects from the mortality selection effects. The GWASs of human life span were performed using the first 20 PCs from each of the selected sets to control for possible population stratification.

resultsThe results indicated that the GWAS that used the PC set separating population stratification induced by mortality selection from differences in ancestry produced stronger genetic signals than the GWAS that used PCs without such separation.

conclusionThe quality of genetic estimates in GWAS can be improved when changes in genetic structure caused by mortality selection are taken into account in controlling for possible effects of population stratification.

Indexed as

Genetic associationsGenetics of agingGenetic structureHeterogeneous populationLongevityMortality selectionPrincipal component analysis

Identifiers

PMID25893220
PMCPMC4398390
OpenAlexW2440538330

What Socratic holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.