Evidence map›Paper›PMID 33720349›Full record

ArticleGenetics2021

Robust, flexible, and scalable tests for Hardy-Weinberg equilibrium across diverse ancestries.

Alan M Kwong, Thomas W Blackwell, Jonathon LeFaive, Mariza de Andrade, John Barnard, Kathleen C Barnes, John Blangero, Eric Boerwinkle, Esteban G Burchard, Brian E Cade and 38 more

Abstract read
In one paragraph

Article in Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

48 authors.

Alan M KwongDepartment of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Thomas W BlackwellDepartment of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Jonathon LeFaiveDepartment of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Mariza de AndradeMayo Clinic, Rochester, MN 55905, USA.
John BarnardDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA.
Kathleen C BarnesDepartment of Medicine, Anschultz Medical Campus, University of Colorado, Aurora, CO 80045, USA.
John BlangeroDepartment of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA.
Eric BoerwinkleDepartment of Epidemiology, Human Genetics Center, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Esteban G BurchardDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94143, USA.
Brian E CadeDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA.
Daniel I ChasmanDivision of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA.
Han ChenDepartment of Epidemiology, Human Genetics Center, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Matthew P ConomosDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.
L Adrienne CupplesDepartment of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
Patrick T EllinorCardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Celeste EngDepartment of Medicine, University of California San Francisco, San Francisco, CA 94143, USA.
Yan GaoDepartment of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216 USA.
Xiuqing GuoDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
Marguerite Ryan IrvinDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Tanika N KellyDepartment of Epidemiology, Tulane University, New Orleans, LA 70112, USA.
Wonji KimChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Charles KooperbergFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Steven A LubitzCardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA.
Angel C Y MakDepartment of Medicine, University of California San Francisco, San Francisco, CA 94143, USA.
Ani W ManichaikulDepartment of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA.
Rasika A MathiasGeneSTAR Research Program and Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
May E MontasserDivision of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Courtney G MontgomerySarcoidosis Research Unit, Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.
Solomon MusaniJackson Heart Study, University of Mississippi Medical Center, Jackson, MS 39216, USA.
Nicholette D PalmerDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Gina M PelosoDepartment of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
Dandi QiaoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Alexander P ReinerFred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Dan M RodenDepartments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
M Benjamin ShoemakerDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Nicholas L SmithDepartment of Epidemiology, University of Washington, Seattle, WA 98195, USA.
Jessica Lasky SuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Hemant K TiwariDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Daniel E WeeksDepartments of Human Genetics and Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Scott T WeissChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
TOPMed Analysis Working Group
Laura J ScottDepartment of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Albert V SmithDepartment of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Gonçalo R AbecasisDepartment of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Michael BoehnkeDepartment of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Hyun Min KangDepartment of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Janis E Campbell · 2013 to 2026
$68.2M
PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 1991 to 2012
$27.6M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Systems Biology of Airway DiseaseP01HL132825 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMEO, DAWN L · 2016 to 2020
$12.6M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
Comprehensive Genome Interrogation of African American Sarcoidosis FamiliesR01HL113326 · NHLBI · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI MONTGOMERY, COURTNEY · 2012 to 2022
$8.7M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaU01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2017 to 2018
$6.3M
Rare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6M
Whole genome sequences in individuals to comprehensively characterize the genetic mechanisms of dyslipidemiasR01HL142711 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Satoshi Koyama, Gina Marie Peloso · 2019 to 2026
$4.7M
Women's Health Study: Infrastructure support for continued cohort follow-upU01CA182913 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 2019 to 2023
$4.0M
Multi-omic studies of asthma severity in an African ancestry populationR01AI132476 · NIAID · UNIVERSITY OF COLORADO DENVER · PI BARNES, KATHLEEN C, MATHIAS, RASIKA ANN · 2018 to 2022
$3.5M
NCI NIH HHS U01 CA182913NHGRI NIH HHS R01 HG007022NHGRI NIH HHS R01 HG009976NHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS K01 HL129039NHLBI NIH HHS K01 HL135405NHLBI NIH HHS P01 HL045522NHLBI NIH HHS P01 HL132825NHLBI NIH HHS R01 HL113326NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL142711NHLBI NIH HHS R03 HL154284NHLBI NIH HHS U01 HL117626NHLBI NIH HHS U01 HL120393NHLBI NIH HHS U01 HL137182NIAID NIH HHS R01 AI132476NIDA NIH HHS R01 DA037904NIDDK NIH HHS P30 DK020572NIGMS NIH HHS U54 GM104938NIMH NIH HHS U01 MH105653
6 · The paper itself

Abstract

Traditional Hardy-Weinberg equilibrium (HWE) tests (the χ2 test and the exact test) have long been used as a metric for evaluating genotype quality, as technical artifacts leading to incorrect genotype calls often can be identified as deviations from HWE. However, in data sets composed of individuals from diverse ancestries, HWE can be violated even without genotyping error, complicating the use of HWE testing to assess genotype data quality. In this manuscript, we present the Robust Unified Test for HWE (RUTH) to test for HWE while accounting for population structure and genotype uncertainty, and to evaluate the impact of population heterogeneity and genotype uncertainty on the standard HWE tests and alternative methods using simulated and real sequence data sets. Our results demonstrate that ignoring population structure or genotype uncertainty in HWE tests can inflate false-positive rates by many orders of magnitude. Our evaluations demonstrate different tradeoffs between false positives and statistical power across the methods, with RUTH consistently among the best across all evaluations. RUTH is implemented as a practical and scalable software tool to rapidly perform HWE tests across millions of markers and hundreds of thousands of individuals while supporting standard VCF/BCF formats. RUTH is publicly available at https://www.github.com/statgen/ruth.

Indexed as

AllelesGene FrequencyGenetics, PopulationGenotypeHumansLinkage DisequilibriumModels, GeneticModels, StatisticalPhenotypeSoftwaregenotype likelihoodsnext-generation sequencingpopulation structureprincipal components analysis

Identifiers

PMID33720349
PMCPMC8128395

What OpenQuestion holds

Textmetadata
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.