Evidence map›Paper›PMID 33232274›Full record

ArticleAging2020

Generalized correlation coefficient for genome-wide association analysis of cognitive ability in twins.

Afsaneh Mohammadnejad, Marianne Nygaard, Shuxia Li, Dongfeng Zhang, Chunsheng Xu, Weilong Li, Jesper Lund, Lene Christiansen, Jan Baumbach, Kaare Christensen and 2 more

Abstract readTwin Study
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. An Emerging Paradigm for ABCC5/MRP5 Function in Human Physiology.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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.

Afsaneh MohammadnejadEpidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Marianne NygaardEpidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Shuxia LiEpidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Dongfeng ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, China.
Chunsheng XuQingdao Center for Disease Control and Prevention, Qingdao, China.
Weilong LiEpidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Jesper LundEpidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Lene ChristiansenEpidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Jan BaumbachComputational Biomedicine, Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Kaare ChristensenEpidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Jacob V B HjelmborgEpidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Qihua TanEpidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.

Funding

Gene-Environment Interplay of Social Contexts and Aging-Related OutcomesR01AG037985 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 2010 to 2014
$3.2M
Gene-Environment Interplay of Social Contexts and Aging-Related OutcomesR56AG037985 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET, PEDERSEN, NANCY L · 2016 to 2016
$818k
NIA NIH HHS R01 AG037985NIA NIH HHS R56 AG037985
6 · The paper itself

Abstract

Despite a strong genetic background in cognitive function only a limited number of single nucleotide polymorphisms (SNPs) have been found in genome-wide association studies (GWASs). We hypothesize that this is partially due to mis-specified modeling concerning phenotype distribution as well as the relationship between SNP dosage and the level of the phenotype. To overcome these issues, we introduced an assumption-free method based on generalized correlation coefficient (GCC) in a GWAS of cognitive function in Danish and Chinese twins to compare its performance with traditional linear models. The GCC-based GWAS identified two significant SNPs in Danish samples (rs71419535, p

Indexed as

Genome-Wide Association StudyCognitionHumansMiddle AgedNeuropsychological TestsPolymorphism, Single NucleotideTwinscognitiongeneralized correlation coefficientGWAStwins

Identifiers

PMID33232274
PMCPMC7746382

What OpenQuestion holds

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LicenceCC BY
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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.