Evidence map›Paper›PMID 35273064›Full record

ArticleBMJ open2022

Cohort profile: genomic data for 26 622 individuals from the Canadian Longitudinal Study on Aging (CLSA).

Vincenzo Forgetta, Rui Li, Corinne Darmond-Zwaig, Alexandre Belisle, Cynthia Balion, Delnaz Roshandel, Christina Wolfson, Guillaume Lettre, Guillaume Pare, Andrew D Paterson and 7 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Genetic discovery using deep learning-derived optic nerve integrity phenotypes.medRxiv : the preprint server for health sciences · 2026
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  12. Associations and interaction effects of socioeconomic, lifestyle, and genetic factors on intrinsic capacity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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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

17 authors.

Vincenzo ForgettaCentre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, Montréal, QC, Canada.
Rui LiMcGill Genome Centre, Department of Human Genetics, McGill University, Montréal, QC, Canada.ORCID 0000-0001-8353-6772
Corinne Darmond-ZwaigMcGill Genome Centre, Department of Human Genetics, McGill University, Montréal, QC, Canada.
Alexandre BelisleMcGill Genome Centre, Department of Human Genetics, McGill University, Montréal, QC, Canada.
Cynthia BalionHamilton Regional Laboratory Medicine Program, McMaster University, St. Joseph's Hospital St. Luke's Wing, Hamilton, ON, Canada.
Delnaz RoshandelGenetics & Genomic Biology, The Hospital for Sick Children Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.
Christina WolfsonDepartment of Medicine & of Epidemiology and Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada.
Guillaume LettreMontréal Heart Institute and Université de Montréal, Montréal, QC, Canada.
Guillaume PareHamilton Regional Laboratory Medicine Program, McMaster University, St. Joseph's Hospital St. Luke's Wing, Hamilton, ON, Canada.
Andrew D PatersonGenetics & Genomic Biology, The Hospital for Sick Children Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.ORCID 0000-0002-9169-118X
Lauren E GriffithDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID 0000-0002-2794-9692
Chris VerschoorDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Mark LathropMcGill Genome Centre, Department of Human Genetics, McGill University, Montréal, QC, Canada.
Susan KirklandDepartment of Community Health and Epidemiology, Division of Geriatric Medicine, Dalhousie University, Halifax, NS, Canada.
Parminder RainaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
J Brent RichardsCentre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, Montréal, QC, Canada.
Jiannis RagoussisMcGill Genome Centre, Department of Human Genetics, McGill University, Montréal, QC, Canada ioannis.ragoussis@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Canadian Longitudinal Study on Aging (CLSA) Comprehensive cohort was established to provide unique opportunities to study the genetic and environmental contributions to human disease as well as ageing process. The aim of this report was to describe the genomic data included in CLSA.

participantsA total of 26 622 individuals from the CLSA Comprehensive cohort of men and women aged 45-85 recruited between 2010 and 2015 underwent genome-wide genotyping of DNA samples collected from blood. Comprehensive quality control metrics were measured for genetic markers and samples, respectively. The genotypes were imputed to the TOPMed reference panel. Sex chromosome abnormalities were identified by copy number profiling. Classical human leukocyte antigen gene haplotypes were imputed at two-field (four-digit). FINDINGS TO DATE: Of the 26 622 genotyped participants, 24 655 (92.6%) were identified as having European ancestry. These genomic data were linked to physical, lifestyle, medical, economic, environmental and psychosocial factors collected longitudinally in CLSA. The combined analysis, including CLSA genomic data, uncovered over 100 novel loci associated with key parameters to define glaucoma. The CLSA genomic dataset validated the contribution of a polygenic risk score to screen individuals with high fracture risk. It is also a valuable resource to directly identify common genetic variations associated with conditions related to complex traits. Taking advantage of the comprehensive interview and physical information collected in CLSA, this genomic dataset has been linked to psychosocial factors to investigate both the independent and interactive effects on cardiovascular disease. FUTURE PLANS: The CLSA overall is ongoing. Follow-up data will continue to be collected from participants in the current genomic subcohort, including the DNA methylation and metabolomic data. Ongoing studies focus on elucidating the role of genetic factors in cognitive decline and cardiovascular diseases. This genomic data resource is available on request through the CLSA data access application process.

Indexed as

AgingGlaucomaCanadaFemaleGenomicsHumansLongitudinal StudiesMaleagingCLSAgenome-wide genotypingHLA

Identifiers

PMID35273064
PMCPMC8915305

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.