Evidence map›Paper›PMID 31477931›Full record

ArticleNature genetics2019

Ultrarare variants drive substantial cis heritability of human gene expression.

Ryan D Hernandez, Lawrence H Uricchio, Kevin Hartman, Chun Ye, Andrew Dahl, Noah Zaitlen

Abstract read
In one paragraph

Article in Nature genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

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

  1. Pooled it
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  14. Frontiers in oncology · 2026
    Article
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  20. Systems genomics of salinity stress response in rice.bioRxiv : the preprint server for biology · 2024
    Article

21 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

6 authors.

Ryan D HernandezBioengineering & Therapeutic Sciences, UCSF, San Francisco, CA, USA. Ryan.Hernandez@me.com.ORCID http://orcid.org/0000-0001-5249-504X
Lawrence H UricchioDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9514-8945
Kevin HartmanBiological and Medical Informatics Graduate Program, UCSF, San Francisco, CA, USA.
Chun YeInstitute for Human Genetics, UCSF, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-6560-3783
Andrew DahlInstitute for Human Genetics, UCSF, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-6520-4766
Noah ZaitlenInstitute for Human Genetics, UCSF, San Francisco, CA, USA. Noah.Zaitlen@ucsf.edu.ORCID http://orcid.org/0000-0002-3553-3670

Funding

BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
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
A Stanford - SJSU Postdoctoral Training Program to Enhance URM TeachingK12GM088033 · NIGMS · STANFORD UNIVERSITY · PI BOOTHROYD, JOHN C · 2010 to 2016
$4.1M
(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
Integrative Program in Complex Biological System (ipCBS)T32EB009383 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARSHALL, WALLACE, WEINER, ORION D · 2009 to 2022
$3.2M
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
NHGRI NIH HHS R01 HG006399NHGRI NIH HHS R01 HG007644NHGRI NIH HHS U01 HG009080NHLBI NIH HHS K25 HL121295NIGMS NIH HHS K12 GM088033
6 · The paper itself

Abstract

The vast majority of human mutations have minor allele frequencies under 1%, with the plurality observed only once (that is, 'singletons'). While Mendelian diseases are predominantly caused by rare alleles, their cumulative contribution to complex phenotypes is largely unknown. We develop and rigorously validate an approach to jointly estimate the contribution of all alleles, including singletons, to phenotypic variation. We apply our approach to transcriptional regulation, an intermediate between genetic variation and complex disease. Using whole-genome DNA and lymphoblastoid cell line RNA sequencing data from 360 European individuals, we conservatively estimate that singletons contribute approximately 25% of cis heritability across genes (dwarfing the contributions of other frequencies). The majority (approximately 76%) of singleton heritability derives from ultrarare variants absent from thousands of additional samples. We develop an inference procedure to demonstrate that our results are consistent with pervasive purifying selection shaping the regulatory architecture of most human genes.

Indexed as

Gene Expression RegulationGenome, HumanMultifactorial InheritancePolymorphism, Single NucleotideTranscriptomeEuropeGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHumansPhenotype

Identifiers

PMID31477931
PMCPMC6730564

What OpenQuestion holds

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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.