Evidence map›Paper›PMID 22829771›Full record

SynthesisPLoS genetics2012

Evidence of inbreeding depression on human height.

Ruth McQuillan, Niina Eklund, Nicola Pirastu, Maris Kuningas, Brian P McEvoy, Tõnu Esko, Tanguy Corre, Gail Davies, Marika Kaakinen, Leo-Pekka Lyytikäinen and 84 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 119 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Genotypic and phenotypic consequences of domestication in dogs.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Detecting inbreeding depression in structured populations.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Increased homozygosity due to endogamy results in fitness consequences in a human population.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Genomic Impact of Whaling in North Atlantic Fin Whales.Molecular biology and evolution · 2022
    Article
  17. Genomic partitioning of inbreeding depression in humans.American journal of human genetics · 2021
    Article
  18. Article
  19. Article
  20. The impact of identity by descent on fitness and disease in dogs.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

94 authors at 20 institutions in 10 countries.

Ruth McQuillanCentre for Population Health Sciences, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Niina Eklund
Nicola Pirastu
Maris Kuningas
Brian P McEvoy
Tõnu Esko
Tanguy Corre
Gail Davies
Marika Kaakinen
Leo-Pekka Lyytikäinen
Kati Kristiansson
Aki S Havulinna
Martin Gögele
Veronique Vitart
Albert Tenesa
Yurii Aulchenko
Caroline Hayward
Asa Johansson
Mladen Boban
Sheila Ulivi
Antonietta Robino
Vesna Boraska
Wilmar Igl
Sarah H Wild
Lina Zgaga
Najaf Amin
Evropi Theodoratou
Ozren Polašek
Giorgia Girotto
Lorna M Lopez
Cinzia Sala
Jari Lahti
Tiina Laatikainen
Inga Prokopenko
Mart Kals
Jorma Viikari
Jian Yang
Anneli Pouta
Karol Estrada
Albert Hofman
Nelson Freimer
Nicholas G Martin
Mika Kähönen
Lili Milani
Markku Heliövaara
Erkki Vartiainen
Katri Räikkönen
Corrado Masciullo
John M Starr
Andrew A Hicks
Laura Esposito
Ivana Kolčić
Susan M Farrington
Ben Oostra
Tatijana Zemunik
Harry Campbell
Mirna Kirin
Marina Pehlic
Flavio Faletra
David Porteous
Giorgio Pistis
Elisabeth Widén
Veikko Salomaa
Seppo Koskinen
Krista Fischer
Terho Lehtimäki
Andrew Heath
Mark I McCarthy
Fernando Rivadeneira
Grant W Montgomery
Henning Tiemeier
Anna-Liisa Hartikainen
Pamela A F Madden
Pio d'Adamo
Nicholas D Hastie
Ulf Gyllensten
Alan F Wright
Cornelia M van Duijn
Malcolm Dunlop
Igor Rudan
Paolo Gasparini
Peter P Pramstaller
Ian J Deary
Daniela Toniolo
Johan G Eriksson
Antti Jula
Olli T Raitakari
Andres Metspalu
Markus Perola
Marjo-Riitta Järvelin
André Uitterlinden
Peter M Visscher
James F Wilson
ROHgen Consortium
University of Edinburgh · GBErasmus MC · NLFinnish Institute for Health and Welfare · FIUniversity of Split · HRUniversity of Tartu · EEQIMR Berghofer Medical Research Institute · AUIRCCS Materno Infantile Burlo Garofolo · ITInstitute for Molecular Medicine Finland · FIUniversity of Oulu · FIUniversity of Trieste · ITUppsala University · SEEurac Research · ITMRC Institute of Genetics and Molecular Medicine · GBNetherlands Consortium for Healthy Ageing · NLTampere University Hospital · FIUniversity of Helsinki · FIWashington University in St. Louis · USAREA Science Park · ITFolkhälsans Forskningscentrum · FIIstituto di Genetica Molecolare · IT

Funding

GENE-ENVIRONMENT INTERPLAY IN ALCOHOLISMK05AA017688 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2008 to 2017
$1.9M
Biotechnology and Biological Sciences Research Council BB/F019394/1Cancer Research UK 12076Chief Scientist Office CZB/4/505Chief Scientist Office CZB/4/710Chief Scientist Office ETM/55Medical Research Council G0700704Medical Research Council G0701120Medical Research Council MC_PC_U127527180Medical Research Council MC_PC_U127561128Medical Research Council MC_U127527198Medical Research Council MC_U127561128NIAAA NIH HHS K05 AA017688Wellcome Trust 090532
6 · The paper itself

Abstract

Stature is a classical and highly heritable complex trait, with 80%-90% of variation explained by genetic factors. In recent years, genome-wide association studies (GWAS) have successfully identified many common additive variants influencing human height; however, little attention has been given to the potential role of recessive genetic effects. Here, we investigated genome-wide recessive effects by an analysis of inbreeding depression on adult height in over 35,000 people from 21 different population samples. We found a highly significant inverse association between height and genome-wide homozygosity, equivalent to a height reduction of up to 3 cm in the offspring of first cousins compared with the offspring of unrelated individuals, an effect which remained after controlling for the effects of socio-economic status, an important confounder (χ(2) = 83.89, df = 1; p = 5.2 × 10(-20)). There was, however, a high degree of heterogeneity among populations: whereas the direction of the effect was consistent across most population samples, the effect size differed significantly among populations. It is likely that this reflects true biological heterogeneity: whether or not an effect can be observed will depend on both the variance in homozygosity in the population and the chance inheritance of individual recessive genotypes. These results predict that multiple, rare, recessive variants influence human height. Although this exploratory work focuses on height alone, the methodology developed is generally applicable to heritable quantitative traits (QT), paving the way for an investigation into inbreeding effects, and therefore genetic architecture, on a range of QT of biomedical importance.

Indexed as

ConsanguinityGenes, RecessiveGenetic HeterogeneityQuantitative Trait, HeritableAdultAgedBody HeightDatabases, GeneticFamilyFemaleGenome-Wide Association StudyHomozygoteHumansMaleMiddle AgedPolymorphism, Single Nucleotide

Identifiers

PMID22829771
PMCPMC3400549
OpenAlexW2135786049

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.