Evidence map›Paper›PMID 31585150›Full record

ArticleBio Systems2020

Assortative mating at loci under recent natural selection in humans.

Akihiro Nishi, Marcus Alexander, James H Fowler, Nicholas A Christakis

Abstract read
In one paragraph

Article in Bio Systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Quantifying direct genetic signal captured by principal component adjustment.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. 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

4 authors.

Akihiro NishiDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA 90095, USA. Electronic address: akihironishi@ucla.edu.
Marcus AlexanderYale Institute for Network Science, Yale University, CT 06520, USA. Electronic address: marcus.alexander@yale.edu.
James H FowlerDivision of Medical Genetics and Department of Political Science, University of California, San Diego, La Jolla, CA, 92103, USA. Electronic address: fowler@ucsd.edu.
Nicholas A ChristakisYale Institute for Network Science, Yale University, CT 06520, USA; Department of Sociology, Ecology and Evolutionary Biology, Medicine, Biomedical Engineering, and Statistics & Data Science, Yale University, New Haven, CT, USA. Electronic address: nicholas.christakis@yale.edu.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
THE FRAMINGHAM HEART STUDYN01HC25195 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN S · 2007 to 2014
$83.8M
The Spread of Health Behaviors in the Framingham Heart Study Social NetworkP01AG031093 · NIA · YALE UNIVERSITY · PI O'MALLEY, A. JAMES · 2008 to 2012
$10.7M
SNP HEALTH ASSOCIATION RESOURCE (SHARE)N02HL64278 · NHLBI · PI CHIN, SIANG · 2007 to 2007
$9.2M
Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ · 2016 to 2026
$6.9M
NHLBI NIH HHS N01HC25195NHLBI NIH HHS N02HL64278NIA NIH HHS P01 AG031093NIA NIH HHS U01 AG009740NICHD NIH HHS P2C HD041022
6 · The paper itself

Abstract

Genetic correlation between mates at specific loci can greatly alter the evolutionary trajectory of a species. Genetic assortative mating has been documented in humans, but its existence beyond population stratification (shared ancestry) has been a matter of controversy. Here, we develop a method to measure assortative mating across the genome at 1,044,854 single-nucleotide polymorphisms (SNPs), controlling for population stratification and cohort-specific cryptic relatedness. Using data on 1683 human couples from two data sources, we find evidence for both assortative and disassortative mating at specific, discernible loci throughout the entire genome. Then, using the composite of multiple signals (CMS) score, we also show that the group of SNPs exhibiting the most assortativity has been under stronger recent positive selection. Simulations using realistic inputs confirm that assortative mating might indeed affect changes in allele frequency over time. These results suggest that genetic assortative mating may be speeding up evolution in humans.

Indexed as

Biological EvolutionGene FrequencyPolymorphism, Single NucleotideReproductive BehaviorSelection, GeneticFemaleGenome-Wide Association StudyHumansMaleAssortative matingHumansMate choicePositive selection

Identifiers

PMID31585150
PMCPMC7471337

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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.