Evidence map›Paper›PMID 38234809›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Evaluation of imputation performance of multiple reference panels in a Pakistani population.

Jiayi Xu, Dongjing Liu, Arsalan Hassan, Giulio Genovese, Alanna C Cote, Brian Fennessy, Esther Cheng, Alexander W Charney, James A Knowles, Muhammad Ayub and 3 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Jiayi XuDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Dongjing LiuIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Arsalan HassanUniversity of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Giulio GenoveseProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Alanna C CoteIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Brian FennessyIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Esther ChengIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Alexander W CharneyIcahn School of Medicine at Mount Sinai, New York, NY, USA.
James A KnowlesThe Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA.
Muhammad AyubUniversity College London, London, UK.
Roseann E PetersonDepartment of Psychiatry and Behavioral Sciences, Institute for Genomics in Health, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA.
Tim B BigdeliDepartment of Psychiatry and Behavioral Sciences, Institute for Genomics in Health, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA.
Laura M HuckinsDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-5369-6502

Funding

African Ancestry Genomic Psychiatry CohortR01MH104964 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI BIGDELI, TIM BERNARD, FANOUS, AYMAN H · 2015 to 2024
$16.7M
Latino Ancestry Genomic Psychiatry CohortR01MH123451 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI BIGDELI, TIM BERNARD, FANOUS, AYMAN H · 2020 to 2025
$7.1M
High-throughput in vivo and in vitro functional and multi-omics screens of neuropsychiatric and neurodevelopmental disorder risk genesRM1MH132648 · NIMH · YALE UNIVERSITY · PI Kristen Jennifer Brennand, Rong Fan · 2023 to 2026
$5.6M
Modeling the interaction of physiological and environmental stressors on common variants to psychiatric traitsR01ES033630 · NIEHS · YALE UNIVERSITY · PI Kristen Jennifer Brennand · 2022 to 2026
$4.6M
Cross-Population Working Group on Genes and Environment in Major Depression (POP-GEM): Advancing the Understating of Etiology through DiversityR01MH125938 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI Roseann Elizabeth Peterson · 2022 to 2026
$4.2M
Predicting the multi-omic impact of psychiatric GWAS associationsR01MH118278 · NIMH · YALE UNIVERSITY · PI HUCKINS, LAURA MARIANNE · 2019 to 2023
$3.6M
The GEN-BLIP Study (GENetics of BipoLar Disorder In Pakistan)R01MH123775 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI KNOWLES, JAMES A · 2020 to 2024
$3.1M
The GEN-SCRIP Study (GENetics of SChizophRenia in Pakistan)R01MH112904 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI KNOWLES, JAMES A · 2017 to 2021
$2.9M
3/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109536 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARNEY, ALEXANDER W, HUCKINS, LAURA MARIANNE · 2016 to 2020
$2.7M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
3/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124839 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANDREASSEN, OLE A, HUCKINS, LAURA MARIANNE · 2021 to 2025
$2.0M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
NIEHS NIH HHS R01 ES033630NIH HHS S10 OD018522NIH HHS S10 OD026880NIMH NIH HHS R01 MH104964NIMH NIH HHS R01 MH112904NIMH NIH HHS R01 MH118278NIMH NIH HHS R01 MH123451NIMH NIH HHS R01 MH123775NIMH NIH HHS R01 MH124839NIMH NIH HHS R01 MH125938NIMH NIH HHS RM1 MH132648NIMH NIH HHS U01 MH109536
6 · The paper itself

Abstract

Genotype imputation is crucial for GWAS, but reference panels and existing benchmarking studies prioritize European individuals. Consequently, it is unclear which publicly available reference panel should be used for Pakistani individuals, and whether ancestry composition or sample size of the panel matters more for imputation accuracy. Our study compared different reference panels to impute genotype data in 1814 Pakistani individuals, finding the best performance balancing accuracy and coverage with meta-imputation with TOPMed and the expanded 1000 Genomes (ex1KG) reference. Imputation accuracy of ex1KG outperformed TOPMed despite its 30-fold smaller sample size, supporting efforts to create future panels with diverse populations.

Indexed as

GeneticsGenome-Wide Association StudiesImputationImputation PanelsPakistanSouth Asian Ancestry

Identifiers

PMID38234809
PMCPMC10793543

What OpenQuestion 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 OpenQuestion graph.