Evidence map›Paper›PMID 27356285›Full record

ArticleAging2016

Genetic variants determining survival and fertility in an adverse African environment: a population-based large-scale candidate gene association study.

Jacob J E Koopman, Jeroen Pijpe, Stefan Böhringer, David van Bodegom, Ulrika K Eriksson, Hernando Sanchez-Faddeev, Juventus B Ziem, Bas Zwaan, P Eline Slagboom, Peter de Knijff and 1 more

Abstract read
In one paragraph

Article in Aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. 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

11 authors.

Jacob J E KoopmanSection of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands.
Jeroen PijpeDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Stefan BöhringerSection of Medical Statistics, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands.
David van BodegomSection of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands.
Ulrika K ErikssonSection of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands.
Hernando Sanchez-FaddeevDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Juventus B ZiemDepartment of Clinical Laboratory Sciences, School of Medicine and Health Sciences, University for Development Studies, Tamale, Ghana.
Bas ZwaanLaboratory of Genetics, Wageningen University, Wageningen, the Netherlands.
P Eline SlagboomSection of Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands.
Peter de KnijffDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Rudi G J WestendorpSection of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human survival probability and fertility decline strongly with age. These life history traits have been shaped by evolution. However, research has failed to uncover a consistent genetic determination of variation in survival and fertility. As an explanation, such genetic determinants have been selected in adverse environments, in which humans have lived during most of their history, but are almost exclusively studied in populations in modern affluent environments. Here, we present a large-scale candidate gene association study in a rural African population living in an adverse environment. In 4387 individuals, we studied 4052 SNPs in 148 genes that have previously been identified as possible determinants of survival or fertility in animals or humans. We studied their associations with survival comparing newborns, middle-age adults, and old individuals. In women, we assessed their associations with reported and observed numbers of children. We found no statistically significant associations of these SNPs with survival between the three age groups nor with women's reported and observed fertility. Population stratification was unlikely to explain these results. Apart from a lack of power, we hypothesise that genetic heterogeneity of complex phenotypes and gene-environment interactions prevent the identification of genetic variants explaining variation in survival and fertility in humans.

Indexed as

Polymorphism, Single NucleotideAdultAgedFemaleFertilityGenetic Association StudiesGenetic VariationGenotypeGhanaHumansInfant, NewbornLongevityMaleMiddle AgedPhenotypeSurvival RateAfricaagingevolutionfertilitygenehumanlife historySNPsurvival

Identifiers

PMID27356285
PMCPMC4993336

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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 OpenQuestion graph.