Evidence map›Paper›PMID 33440170›Full record

ArticleAmerican journal of human genetics2021

Disentangling selection on genetically correlated polygenic traits via whole-genome genealogies.

Aaron J Stern, Leo Speidel, Noah A Zaitlen, Rasmus Nielsen

Abstract read
In one paragraph

Article in American journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Review
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  13. Combination Therapy: A New Tool for the Management of Obesity.Endocrine, metabolic & immune disorders drug targets · 2024
    Review
  14. Article
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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.

Aaron J SternGraduate Group in Computational Biology, UC Berkeley, Berkeley, CA 94703, USA. Electronic address: ajstern@berkeley.edu.
Leo SpeidelDepartment of Statistics, University of Oxford, Oxford, UK.
Noah A ZaitlenDavid Geffen School of Medicine, UC Los Angeles, Los Angeles, CA 90095, USA.
Rasmus NielsenDepartment of Integrative Biology, UC Berkeley, Berkeley, CA 94703, USA; Department of Statistics, UC Berkeley, Berkeley, CA 94703, USA.

Funding

Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
Optimizing imputation for diverse populations in a distributed frameworkU01HG009080 · NHGRI · STANFORD UNIVERSITY · PI KENNY, EIMEAR ELIZABETH · 2016 to 2020
$5.2M
Improved methods for inference of genotype-specific response to environmental toxinsR01ES029929 · NIEHS · PRINCETON UNIVERSITY · PI AYROLES, JULIEN, CLARK, ANDREW G · 2019 to 2023
$3.6M
(PQ3) A functional genomic approach to identification and interpretation of germline-tumor genetic interactionsR01CA227237 · NCI · DANA-FARBER CANCER INST · PI GUSEV, ALEXANDER, ZAITLEN, NOAH A · 2018 to 2022
$3.5M
(8) Genetics of Immune Related Adverse Events and Response to ImmunotherapyR01CA227466 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZIV, ELAD · 2018 to 2023
$3.3M
Identifying and quantifying genetic effects on neurodevelopmental trajectories in adolescentsR01MH122688 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FAN, CHUN CHIEH · 2020 to 2024
$1.8M
Enabling Precision Genomics Using Adaptive VariationR01GM138634 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI NIELSEN, RASMUS · 2020 to 2023
$1.7M
Epigenetics of Socio-Environmental Effects on Asthma in MinoritiesR56MD013312 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BURCHARD, ESTEBAN GONZALEZ, ZAITLEN, NOAH A · 2018 to 2018
$458k
NCI NIH HHS R01 CA227237NCI NIH HHS R01 CA227466NHGRI NIH HHS R01 HG006399NHGRI NIH HHS U01 HG009080NIEHS NIH HHS R01 ES029929NIGMS NIH HHS R01 GM138634NIMHD NIH HHS R56 MD013312NIMH NIH HHS R01 MH122688
6 · The paper itself

Abstract

We present a full-likelihood method to infer polygenic adaptation from DNA sequence variation and GWAS summary statistics to quantify recent transient directional selection acting on a complex trait. Through simulations of polygenic trait architecture evolution and GWASs, we show the method substantially improves power over current methods. We examine the robustness of the method under stratification, uncertainty and bias in marginal effects, uncertainty in the causal SNPs, allelic heterogeneity, negative selection, and low GWAS sample size. The method can quantify selection acting on correlated traits, controlling for pleiotropy even among traits with strong genetic correlation (|r

Indexed as

Genome, HumanMultifactorial InheritanceSelection, GeneticComputer SimulationDiabetes Mellitus, Type 2Evolution, MolecularGene-Environment InteractionGenetic HeterogeneityGenetic PleiotropyGenome-Wide Association StudyGlycated HemoglobinHumansModels, GeneticPhenotypePolymorphism, Single NucleotideSample SizeGlycated Hemoglobinhemoglobin A1c protein, humanadaptationancestral recombination graphGWASpolygenic selectionstratificationthrifty gene

Identifiers

PMID33440170
PMCPMC7895848

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.