Evidence map›Paper›PMID 32426451›Full record

ArticleScience advances2020

Population phenomena inflate genetic associations of complex social traits.

Tim T Morris, Neil M Davies, Gibran Hemani, George Davey Smith

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

101 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Causal effects of psychosocial factors on chronic back pain: a bidirectional Mendelian randomisation study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022
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41 more citing papers are in PubMed but not listed here.

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

4 authors.

Tim T MorrisMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.ORCID 0000-0001-8178-6815
Neil M DaviesMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.ORCID 0000-0002-2460-0508
Gibran HemaniMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.ORCID 0000-0003-0920-1055
George Davey SmithMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.ORCID 0000-0002-1407-8314

Funding

Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/9Wellcome Trust 208806/Z/17/Z
6 · The paper itself

Abstract

Heritability, genetic correlation, and genetic associations estimated from samples of unrelated individuals are often perceived as confirmation that genotype causes the phenotype(s). However, these estimates can arise from indirect mechanisms due to population phenomena including population stratification, dynastic effects, and assortative mating. We introduce these, describe how they can bias or inflate genotype-phenotype associations, and demonstrate methods that can be used to assess their presence. Using data on educational achievement and parental socioeconomic position as an exemplar, we demonstrate that both heritability and genetic correlation may be biased estimates of the causal contribution of genotype. These results highlight the limitations of genotype-phenotype estimates obtained from samples of unrelated individuals. Use of these methods in combination with family-based designs may offer researchers greater opportunities to explore the mechanisms driving genotype-phenotype associations and identify factors underlying bias in estimates.

Indexed as

ReproductionSociological FactorsGenetic Association StudiesGenotypeModels, GeneticPhenotype

Identifiers

PMID32426451
PMCPMC7159920

What OpenQuestion holds

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Registered trials

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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.