Evidence map›Paper›PMID 26808112›Full record

ArticleNature genetics2016

Genes with monoallelic expression contribute disproportionately to genetic diversity in humans.

Virginia Savova, Sung Chun, Mashaal Sohail, Ruth B McCole, Robert Witwicki, Lisa Gai, Tobias L Lenz, C-Ting Wu, Shamil R Sunyaev, Alexander A Gimelbrant

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
11.4field-weighted citation impact, top 1% of its field
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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Inferring Balancing Selection From Genome-Scale Data.Genome biology and evolution · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

10 authors at 3 institutions in 1 country.

Virginia Savova *Dana-Farber Cancer Institute, Boston, USA.
Sung Chun *Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Mashaal Sohail *Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Ruth B McColeDepartment of Genetics, Harvard Medical School, Boston, USA.
Robert WitwickiDana-Farber Cancer Institute, Boston, USA.
Lisa GaiDana-Farber Cancer Institute, Boston, USA.
Tobias L LenzDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
C-Ting WuDepartment of Genetics, Harvard Medical School, Boston, USA.
Shamil R SunyaevDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Alexander A GimelbrantDana-Farber Cancer Institute, Boston, USA.
Brigham and Women's Hospital · USHarvard University · USDana-Farber Cancer Institute · US

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
Statistical methods for studies of rare variantsR01MH101244 · NIMH · HARVARD MEDICAL SCHOOL · PI Benjamin Michael Neale, ALKES L PRICE · 2013 to 2026
$9.4M
Mechanism and function of autosomal analog of X inactivationR01GM114864 · NIGMS · DANA-FARBER CANCER INST · PI GIMELBRANT, ALEXANDER · 2014 to 2018
$4.9M
The inheritance of position: It's not just who you are, it's where you areDP1GM106412 · NIGMS · HARVARD MEDICAL SCHOOL · PI WU, CHAO-TING · 2012 to 2016
$4.2M
New Methods and Enhanced Software for Predicting Functional SNPsR01GM078598 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2007 to 2017
$3.5M
Improving Polygenic Prediction using Next-Generation Data SetsR01GM105857 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2014 to 2017
$2.0M
A STUDY OF TRANSVECTION AT THE DROSOPHILA YELLOW GENER01GM061936 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WU, CHAO-TING · 2000 to 2003
$1.7M
NCCDPHP CDC HHS 5DP1 GM106412NIGMS NIH HHS DP1 GM106412NIGMS NIH HHS GM105857NIGMS NIH HHS R01 GM061936NIGMS NIH HHS R01 GM078598NIGMS NIH HHS R01 GM105857NIGMS NIH HHS R01 GM114864NIGMS NIH HHS R01 GM61936NIMH NIH HHS MH101244NIMH NIH HHS R01 MH101244NLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

An unexpectedly large number of human autosomal genes are subject to monoallelic expression (MAE). Our analysis of 4,227 such genes uncovers surprisingly high genetic variation across human populations. This increased diversity is unlikely to reflect relaxed purifying selection. Remarkably, MAE genes exhibit an elevated recombination rate and an increased density of hypermutable sequence contexts. However, these factors do not fully account for the increased diversity. We find that the elevated nucleotide diversity of MAE genes is also associated with greater allelic age: variants in these genes tend to be older and are enriched in polymorphisms shared by Neanderthals and chimpanzees. Both synonymous and nonsynonymous alleles of MAE genes have elevated average population frequencies. We also observed strong enrichment of the MAE signature among genes reported to evolve under balancing selection. We propose that an important biological function of widespread MAE might be the generation of cell-to-cell heterogeneity; the increased genetic variation contributes to this heterogeneity.

Indexed as

Gene Expression RegulationGenetic VariationAllelesAnimalsGenetics, PopulationHumansNeanderthalsPan troglodytes

Identifiers

PMID26808112
PMCPMC4942303
OpenAlexW2265522907

What OpenQuestion holds

Textmetadata
LicenceTDM
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.