Evidence map›Paper›PMID 20890277›Full record

ArticleNature genetics2010

Resequencing of 200 human exomes identifies an excess of low-frequency non-synonymous coding variants.

Yingrui Li, Nicolas Vinckenbosch, Geng Tian, Emilia Huerta-Sanchez, Tao Jiang, Hui Jiang, Anders Albrechtsen, Gitte Andersen, Hongzhi Cao, Thorfinn Korneliussen and 28 more

Abstract read
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In one paragraph

Article in Nature genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
195citing papers in PubMed, 3 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

195 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Quantifying the fraction of new mutations that are recessive lethal.Evolution; international journal of organic evolution · 2023
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135 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

38 authors.

Yingrui LiBGI-Shenzhen, Shenzhen, China.
Nicolas Vinckenbosch
Geng Tian
Emilia Huerta-Sanchez
Tao Jiang
Hui Jiang
Anders Albrechtsen
Gitte Andersen
Hongzhi Cao
Thorfinn Korneliussen
Niels Grarup
Yiran Guo
Ines Hellman
Xin Jin
Qibin Li
Jiangtao Liu
Xiao Liu
Thomas Sparsø
Meifang Tang
Honglong Wu
Renhua Wu
Chang Yu
Hancheng Zheng
Arne Astrup
Lars Bolund
Johan Holmkvist
Torben Jørgensen
Karsten Kristiansen
Ole Schmitz
Thue W Schwartz
Xiuqing Zhang
Ruiqiang Li
Huanming Yang
Jian Wang
Torben Hansen
Oluf Pedersen
Rasmus Nielsen
Jun Wang

Funding

Population Genetic Inferences From Dense Genotype DataR01HG003229 · NHGRI · CORNELL UNIVERSITY ITHACA · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2004 to 2013
$4.8M
NHGRI NIH HHS R01 HG003229
6 · The paper itself

Abstract

Targeted capture combined with massively parallel exome sequencing is a promising approach to identify genetic variants implicated in human traits. We report exome sequencing of 200 individuals from Denmark with targeted capture of 18,654 coding genes and sequence coverage of each individual exome at an average depth of 12-fold. On average, about 95% of the target regions were covered by at least one read. We identified 121,870 SNPs in the sample population, including 53,081 coding SNPs (cSNPs). Using a statistical method for SNP calling and an estimation of allelic frequencies based on our population data, we derived the allele frequency spectrum of cSNPs with a minor allele frequency greater than 0.02. We identified a 1.8-fold excess of deleterious, non-syonomyous cSNPs over synonymous cSNPs in the low-frequency range (minor allele frequencies between 2% and 5%). This excess was more pronounced for X-linked SNPs, suggesting that deleterious substitutions are primarily recessive.

Indexed as

Genetic VariationHuman Genome ProjectPolymorphism, Single NucleotideBase SequenceChromosomes, Human, XExonsGene ConversionGene FrequencyGenes, RecessiveGenetics, PopulationHumansIntronsUntranslated RegionsUntranslated Regions

Identifiers

PMID20890277

What OpenQuestion holds

Textmetadata
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.