Evidence map›Paper›PMID 22135348›Full record

ArticleGenetics2012

Low-pass genome-wide sequencing and variant inference using identity-by-descent in an isolated human population.

A Gusev, M J Shah, E E Kenny, A Ramachandran, J K Lowe, J Salit, C C Lee, E C Levandowsky, T N Weaver, Q C Doan and 9 more

Abstract read
In one paragraph

Article in Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Structural Variant Imputation in Samoans Using a Population-Specific Reference Panel.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Evolutionary history of modern Samoans.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Article
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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

19 authors.

A GusevDepartment of Computer Science, Columbia University,New York, New York 10027, USA. gusev@cs.columbia.edu
M J Shah
E E Kenny
A Ramachandran
J K Lowe
J Salit
C C Lee
E C Levandowsky
T N Weaver
Q C Doan
H E Peckham
S F McLaughlin
M R Lyons
V N Sheth
M Stoffel
F M De La Vega
J M Friedman
J L Breslow
I Pe'er

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing in an isolated population with few founders directly ascertains variants from the population bottleneck that may be rare elsewhere. In such populations, shared haplotypes allow imputation of variants in unsequenced samples without resorting to complex statistical methods as in studies of outbred cohorts. We focus on an isolated population cohort from the Pacific Island of Kosrae, Micronesia, where we previously collected SNP array and rich phenotype data for the majority of the population. We report identification of long regions with haplotypes co-inherited between pairs of individuals and methodology to leverage such shared genetic content for imputation. Our estimates show that sequencing as few as 40 personal genomes allows for inference in up to 60% of the 3000-person cohort at the average locus. We ascertained a pilot data set of whole-genome sequences from seven Kosraean individuals, with average 5× coverage. This assay identified 5,735,306 unique sites of which 1,212,831 were previously unknown. Additionally, these variants are unusually enriched for alleles that are rare in other populations when compared to geographic neighbors (published Korean genome SJK). We used the presence of shared haplotypes between the seven Kosraen individuals to estimate expected imputation accuracy of known and novel homozygous variants at 99.6% and 97.3%, respectively. This study presents whole-genome analysis of a homogenous isolate population with emphasis on optimal rare variant inference.

Indexed as

Genome, HumanGenome-Wide Association StudyPolymorphism, Single NucleotideAlgorithmsAllelesCohort StudiesFounder EffectGene FrequencyGenotypeHumansPacific IslandsPopulation GroupsReproducibility of Results

Identifiers

PMID22135348
PMCPMC3276614

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.