Evidence map›Paper›PMID 27197206›Full record

ArticleGenome research2016

Selection and explosive growth alter genetic architecture and hamper the detection of causal rare variants.

Lawrence H Uricchio, Noah A Zaitlen, Chun Jimmie Ye, John S Witte, Ryan D Hernandez

Abstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Lawrence H UricchioDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California 94143, USA; Graduate Program in Bioinformatics, University of California, San Francisco, San Francisco, California 94143, USA;ORCID 0000-0001-9514-8945
Noah A ZaitlenDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California 94143, USA; Institute for Human Genetics, University of California, San Francisco, San Francisco, California 94143, USA; Institute for Quantitative Biosciences (QB3), University of California, San Francisco, San Francisco, California 94143, USA;
Chun Jimmie YeDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California 94143, USA; Institute for Human Genetics, University of California, San Francisco, San Francisco, California 94143, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California 94143, USA.
John S WitteInstitute for Human Genetics, University of California, San Francisco, San Francisco, California 94143, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California 94143, USA.
Ryan D HernandezDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California 94143, USA; Institute for Human Genetics, University of California, San Francisco, San Francisco, California 94143, USA; Institute for Quantitative Biosciences (QB3), University of California, San Francisco, San Francisco, California 94143, USA;ORCID 0000-0001-5249-504X

Funding

Targeting FOXA1-downstream pathways: a novel therapeutic strategy for castration-resistant prostate cancerP50CA180995 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WU, JENNIFER · 2015 to 2025
$19.9M
The Airway Functional Genomics of Bronchodilator Drug Response in Minority Children with AsthmaR01HL117004 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, SEIBOLD, MAX A · 2013 to 2022
$9.3M
BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Social Interventions to address disparities In young adult tobacco useP60MD006902 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN · 2012 to 2016
$6.4M
Genetic Epidemiology of Prostate Cancer Risk and ProgressionR01CA088164 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VAN DEN EEDEN, STEPHEN K., WITTE, JOHN S. · 2000 to 2015
$6.1M
Genomewide Association Study of Prostate CancerU01CA127298 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2008 to 2012
$5.1M
Powerful Simulation Tools for the Genomics AgeR01HG007644 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2014 to 2018
$2.1M
Richer Models of Asthma Risk: Bridging the Environment-Genetics DivideK25HL121295 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZAITLEN, NOAH A · 2014 to 2018
$784k
NCI NIH HHS P50 CA180995NCI NIH HHS R01 CA088164NCI NIH HHS U01 CA127298NHGRI NIH HHS R01 HG007644NHLBI NIH HHS K25 HL121295NHLBI NIH HHS R01 HL117004NIGMS NIH HHS T32 GM067547NIMHD NIH HHS P60 MD006902
6 · The paper itself

Abstract

The role of rare alleles in complex phenotypes has been hotly debated, but most rare variant association tests (RVATs) do not account for the evolutionary forces that affect genetic architecture. Here, we use simulation and numerical algorithms to show that explosive population growth, as experienced by human populations, can dramatically increase the impact of very rare alleles on trait variance. We then assess the ability of RVATs to detect causal loci using simulations and human RNA-seq data. Surprisingly, we find that statistical performance is worst for phenotypes in which genetic variance is due mainly to rare alleles, and explosive population growth decreases power. Although many studies have attempted to identify causal rare variants, few have reported novel associations. This has sometimes been interpreted to mean that rare variants make negligible contributions to complex trait heritability. Our work shows that RVATs are not robust to realistic human evolutionary forces, so general conclusions about the impact of rare variants on complex traits may be premature.

Indexed as

Evolution, MolecularModels, GeneticAllelesChromosomes, HumanGenetics, MedicalGenetic VariationHumansPhenotypePopulation GrowthWhite People

Identifiers

PMID27197206
PMCPMC4937562

What OpenQuestion holds

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LicenceCC BY-NC
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.