Evidence map›Paper›PMID 36974931›Full record

ArticleGenetics2023

An exponential increase in QTL detection with an increased sample size.

Apurva S Chitre, Oksana Polesskaya, Daniel Munro, Riyan Cheng, Pejman Mohammadi, Katie Holl, Jianjun Gao, Hannah Bimschleger, Angel Garcia Martinez, Anthony M George and 19 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors.

Apurva S ChitreDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Oksana PolesskayaDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Daniel MunroDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Riyan ChengDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Pejman MohammadiDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Katie HollDepartment of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Jianjun GaoDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Hannah BimschlegerDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Angel Garcia MartinezDepartment of Pharmacology, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Anthony M GeorgeClinical and Research Institute on Addictions, State University of New York at Buffalo, Buffalo, NY 14203, USA.
Alexander F GiletaDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Wenyan HanDepartment of Pharmacology, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Aidan HorvathDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
Alesa HughsonDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
Keita IshiwariClinical and Research Institute on Addictions, State University of New York at Buffalo, Buffalo, NY 14203, USA.
Christopher P KingDepartment of Psychology, State University of New York at Buffalo, Buffalo, NY 14260, USA.
Alexander LamparelliDepartment of Psychology, State University of New York at Buffalo, Buffalo, NY 14260, USA.
Cassandra L VersaggiDepartment of Psychology, State University of New York at Buffalo, Buffalo, NY 14260, USA.
Connor D MartinClinical and Research Institute on Addictions, State University of New York at Buffalo, Buffalo, NY 14203, USA.
Celine L St PierreDepartment of Genetics, Washington University in St Louis, St Louis, MO 63110, USA.
Jordan A TripiDepartment of Psychology, State University of New York at Buffalo, Buffalo, NY 14260, USA.
Jerry B RichardsClinical and Research Institute on Addictions, State University of New York at Buffalo, Buffalo, NY 14203, USA.
Tengfei WangDepartment of Pharmacology, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Hao ChenDepartment of Pharmacology, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Shelly B FlagelDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
Paul MeyerDepartment of Psychology, State University of New York at Buffalo, Buffalo, NY 14260, USA.
Terry E RobinsonDepartment of Psychology, University of Michigan, Ann Arbor, MI 48109, USA.
Leah C Solberg WoodsDepartment of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
Abraham A PalmerDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-3634-0747

Funding

Sequencing CoreP50DA037844 · NIDA · UNIVERSITY OF CHICAGO · PI MEYER, PAUL J · 2014 to 2023
$27.4M
The genetics of functional decline in the aging vestibular system: A GWAS and gene expression analysis in aging mice and humansR01DC020052 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CLIFFORD, ROYCE ELLEN, FRIEDMAN, RICK A · 2021 to 2025
$4.0M
Haplotype-aware models of gene and isoform expression with application to genetic studies of disease in diverse populationsR01GM140287 · NIGMS · SEATTLE CHILDREN'S HOSPITAL · PI GAMAZON, ERIC R, MOHAMMADI, PEJMAN · 2021 to 2024
$2.8M
Systems Genetics of Adiposity Traits in Outbred RatsR01DK106386 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SOLBERG WOODS, LEAH CATHERINE · 2015 to 2018
$2.6M
NIDA NIH HHS P50 DA037844NIDDK NIH HHS R01 DK106386NIGMS NIH HHS R01 GM140287
6 · The paper itself

Abstract

Power analyses are often used to determine the number of animals required for a genome-wide association study (GWAS). These analyses are typically intended to estimate the sample size needed for at least 1 locus to exceed a genome-wide significance threshold. A related question that is less commonly considered is the number of significant loci that will be discovered with a given sample size. We used simulations based on a real data set that consisted of 3,173 male and female adult N/NIH heterogeneous stock rats to explore the relationship between sample size and the number of significant loci discovered. Our simulations examined the number of loci identified in subsamples of the full data set. The subsampling analysis was conducted for 4 traits with low (0.15 ± 0.03), medium (0.31 ± 0.03 and 0.36 ± 0.03), and high (0.46 ± 0.03) SNP-based heritabilities. For each trait, we subsampled the data 100 times at different sample sizes (500, 1,000, 1,500, 2,000, and 2,500). We observed an exponential increase in the number of significant loci with larger sample sizes. Our results are consistent with similar observations in human GWAS and imply that future rodent GWAS should use sample sizes that are significantly larger than those needed to obtain a single significant result.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociAnimalsFemaleHumansMalePhenotypePolymorphism, Single NucleotideRatsSample SizeGWASheterogeneous stock (HS) ratsQTLsample size

Identifiers

PMID36974931
PMCPMC10213487

What OpenQuestion holds

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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.