Evidence map›Paper›PMID 21628451›Full record

ArticleGenome research2011

A reduced representation approach to population genetic analyses and applications to human evolution.

Francesca Luca, Richard R Hudson, David B Witonsky, Anna Di Rienzo

Abstract read
In one paragraph

Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  5. A quantification method of somatic mutations in normal tissues and their accumulation in pediatric patients with chemotherapy.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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.

Francesca LucaDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA
Richard R Hudson
David B Witonsky
Anna Di Rienzo

Funding

POPULATION AND EVOLUTIONARY GENETICS OF NIDDMIR01DK056670 · NIDDK · UNIVERSITY OF CHICAGO · PI DI RIENZO, ANNA · 2001 to 2010
$3.2M
Local Adaptations in HumansR01GM079558 · NIGMS · UNIVERSITY OF CHICAGO · PI DI RIENZO, ANNA · 2007 to 2010
$1.2M
NIDDK NIH HHS DK56670NIDDK NIH HHS R01 DK056670NIGMS NIH HHS GM79558NIGMS NIH HHS GM79558-S1NIGMS NIH HHS R01 GM079558
6 · The paper itself

Abstract

Second-generation sequencing technologies allow surveys of sequence variation on an unprecedented scale. However, despite the rapid decrease in sequencing costs, collecting whole-genome sequence data on a population scale is still prohibitive for many laboratories. We have implemented an inexpensive, reduced representation protocol for preparing resequencing targets, and we have developed the analytical tools necessary for making population genetic inferences. This approach can be applied to any species for which a draft or complete reference genome sequence is available. The new tools we have developed include methods for aligning reads, calling genotypes, and incorporating sample-specific sequencing error rates in the estimate of evolutionary parameters. When applied to 19 individuals from a total of 18 human populations, our approach allowed sampling regions that are largely overlapping across individuals and that are representative of the entire genome. The resequencing data were used to test the serial founder model of human dispersal and to estimate the time of the Out of Africa migration. Our results also represent the first attempt to provide a time frame for the colonization of Australia based on large-scale resequencing data.

Indexed as

Biological EvolutionGenetics, PopulationGenome, HumanAfricaAustraliaDatabases, GeneticFemaleGene FrequencyGenetic VariationGenotypeHumansMaleModels, BiologicalPolymorphism, Single NucleotideSequence AlignmentSequence Analysis, DNA

Identifiers

PMID21628451
PMCPMC3129251

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.