Evidence map›Paper›PMID 36465187›Full record

ArticleHGG advances2023

Inverted genomic regions between reference genome builds in humans impact imputation accuracy and decrease the power of association testing.

Xin Sheng, Lucy Xia, Jordan L Cahoon, David V Conti, Christopher A Haiman, Linda Kachuri, Charleston W K Chiang

Open access · goldAbstract read
In one paragraph

Article in HGG advances, 2023. 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
3.0field-weighted citation impact, top 8% 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
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  5. Review
  6. Article
  7. Article
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  11. Article
  12. Imputation accuracy across global human populations.American journal of human genetics · 2024
    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

7 authors at 2 institutions in 1 country.

Xin ShengCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Lucy XiaCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Jordan L CahoonDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
David V ContiCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Christopher A HaimanCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Linda KachuriDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA 94305, USA.
Charleston W K ChiangCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
University of Southern California · USStanford University · US

Funding

Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Research on Prostate Cancer in Men of African Ancestry: Defining the Roles of Genetics, Immunity and Stress (RESPOND)U19CA214253 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN · 2018 to 2023
$16.8M
Leveraging the Evolutionary History to Improve Identification of Trait-Associated Alleles and Risk Stratification Models in Native HawaiiansR01HG011646 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Charleston Chiang · 2022 to 2026
$4.0M
Multiethnic GWAS and TWAS to Inform Risk Prediction for Prostate CancerU01CA257328 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CONTI, DAVID V, HAIMAN, CHRISTOPHER ALAN · 2021 to 2025
$3.1M
An evolutionary framework to elucidate and interpret the genetic architecture of complex traits in diverse populations - diversity supplementR35GM142783 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHIANG, CHARLESTON · 2021 to 2025
$2.2M
Comprehensive Investigation of Multiple Myeloma Genetic Susceptibility in African AmericansK99CA246076 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KACHURI, MIRLINDA · 2020 to 2021
$258k
NCI NIH HHS K99 CA246076NCI NIH HHS U01 CA164973NCI NIH HHS U01 CA257328NCI NIH HHS U19 CA214253NHGRI NIH HHS R01 HG011646NIGMS NIH HHS R35 GM142783
6 · The paper itself

Abstract

Over the last two decades, the human reference genome has undergone multiple updates as we complete a linear representation of our genome. Two versions of human references are currently used in the biomedical literature, GRCh37/hg19 and GRCh38. Conversions between these versions are critical for quality control, imputation, and association analysis. In the present study, we show that single-nucleotide variants (SNVs) in regions inverted between different builds of the reference genome are often mishandled bioinformatically. Depending on the array type, SNVs are found in approximately 2-5 Mb of the genome that are inverted between reference builds. Coordinate conversions of these variants are mishandled by both the TOPMed imputation server as well as routine in-house quality control pipelines, leading to underrecognized downstream analytical consequences. Specifically, we observe that undetected allelic conversion errors for palindromic (i.e., A/T or C/G) variants in these inverted regions would destabilize the local haplotype structure, leading to loss of imputation accuracy and power in association analyses. Though only a small proportion of the genome is affected, these regions include important disease susceptibility variants that would be affected. For example, the p value of a known locus associated with prostate cancer on chromosome 10 (chr10) would drop from 2.86 × 10

Indexed as

Genome-Wide Association StudyGenomicsBlack or African AmericanGenome, HumanHaplotypesHumansMalebioinformaticsgenetic associationsgenome buildimputationreference genome

Identifiers

PMID36465187
PMCPMC9709082
OpenAlexW4308921737

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.