Evidence map›Paper›PMID 27376640›Full record

ArticleHuman genetics2016

Whole-genome sequencing in French Canadians from Quebec.

Cécile Low-Kam, David Rhainds, Ken Sin Lo, Sylvie Provost, Ian Mongrain, Anick Dubois, Sylvie Perreault, John F Robinson, Robert A Hegele, Marie-Pierre Dubé and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Human genetic variation alters CRISPR-Cas9 on- and off-targeting specificity at therapeutically implicated loci.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  10. Article
  11. Article
  12. Population Stratification in Genetic Association Studies.Current protocols in human genetics · 2017
    Review
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

12 authors at 3 institutions in 1 country.

Cécile Low-KamMontreal Heart Institute, 5000 Bélanger Street, Montréal, QC, H1T 1C8, Canada.
David RhaindsMontreal Heart Institute, 5000 Bélanger Street, Montréal, QC, H1T 1C8, Canada.
Ken Sin LoMontreal Heart Institute, 5000 Bélanger Street, Montréal, QC, H1T 1C8, Canada.
Sylvie ProvostMontreal Heart Institute, 5000 Bélanger Street, Montréal, QC, H1T 1C8, Canada.
Ian MongrainMontreal Heart Institute, 5000 Bélanger Street, Montréal, QC, H1T 1C8, Canada.
Anick DuboisMontreal Heart Institute, 5000 Bélanger Street, Montréal, QC, H1T 1C8, Canada.
Sylvie PerreaultFaculté de Pharmacie, Université de Montréal, 2940 chemin de la Polytechnique, Montréal, QC, H3T 1J4, Canada.
John F RobinsonRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
Robert A HegeleRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
Marie-Pierre DubéMontreal Heart Institute, 5000 Bélanger Street, Montréal, QC, H1T 1C8, Canada.
Jean-Claude TardifMontreal Heart Institute, 5000 Bélanger Street, Montréal, QC, H1T 1C8, Canada. Jean-Claude.Tardif@icm-mhi.org.
Guillaume LettreMontreal Heart Institute, 5000 Bélanger Street, Montréal, QC, H1T 1C8, Canada. guillaume.lettre@umontreal.ca.
Montreal Heart Institute · CAUniversité de Montréal · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have had a tremendous success in the identification of common DNA sequence variants associated with complex human diseases and traits. However, because of their design, GWAS are largely inappropriate to characterize the role of rare and low-frequency DNA variants on human phenotypic variation. Rarer genetic variation is geographically more restricted, supporting the need for local whole-genome sequencing (WGS) efforts to study these variants in specific populations. Here, we present the first large-scale low-pass WGS of the French-Canadian population. Specifically, we sequenced at ~5.6× coverage the whole genome of 1970 French Canadians recruited by the Montreal Heart Institute Biobank and identified 29 million bi-allelic variants (31 % novel), including 19 million variants with a minor allele frequency (MAF) <0.5 %. Genotypes from the WGS data are highly concordant with genotypes obtained by exome array on the same individuals (99.8 %), even when restricting this analysis to rare variants (MAF <0.5, 99.9 %) or heterozygous sites (98.9 %). To further validate our data set, we showed that we can effectively use it to replicate several genetic associations with myocardial infarction risk and blood lipid levels. Furthermore, we analyze the utility of our WGS data set to generate a French-Canadian-specific imputation reference panel and to infer population structure in the Province of Quebec. Our results illustrate the value of low-pass WGS to study the genetics of human diseases in the founder French-Canadian population.

Indexed as

Genetic VariationHigh-Throughput Nucleotide SequencingCanadaExomeGene FrequencyGenetic Diseases, InbornGenome, HumanGenotypeHumansPhenotypeQuebec

Identifiers

PMID27376640
OpenAlexW2466213235

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.