Evidence map›Paper›PMID 28895531›Full record

ArticleeLife2017

Genetic identification of a common collagen disease in puerto ricans via identity-by-descent mapping in a health system.

Gillian Morven Belbin, Jacqueline Odgis, Elena P Sorokin, Muh-Ching Yee, Sumita Kohli, Benjamin S Glicksberg, Christopher R Gignoux, Genevieve L Wojcik, Tielman Van Vleck, Janina M Jeff and 22 more

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
–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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  19. Selecting Clustering Algorithms for Identity-By-Descent Mapping.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
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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

32 authors.

Gillian Morven BelbinThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID http://orcid.org/0000-0001-9036-864X
Jacqueline OdgisDepartment of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.
Elena P SorokinDepartment of Genetics, Stanford University School of Medicine, Stanford, United States.
Muh-Ching YeeDepartment of Plant Biology, Carnegie Institution for Science, Stanford, United States.
Sumita KohliThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Benjamin S GlicksbergDepartment of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.
Christopher R GignouxDepartment of Genetics, Stanford University School of Medicine, Stanford, United States.
Genevieve L WojcikDepartment of Genetics, Stanford University School of Medicine, Stanford, United States.
Tielman Van VleckThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Janina M JeffThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Michael LindermanDepartment of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.
Claudia SchurmannThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Douglas RuderferBroad Institute, Cambridge, United States.
Xiaoqiang CaiDepartment of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.
Amanda MerkelsonThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Anne E JusticeDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States.
Kristin L YoungDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States.
Misa GraffDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States.
Kari E NorthDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States.
Ulrike PetersPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, United States.
Regina JamesNational Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, United States.
Lucia HindorffNational Human Genome Research Institute, National Institutes of Health, Bethesda, United States.
Ruth KornreichDepartment of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.
Lisa EdelmannDepartment of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.
Omri GottesmanThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Eli Ea StahlThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Judy H ChoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Ruth Jf LoosThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Erwin P BottingerThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Girish N NadkarniThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Noura S Abul-HusnThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.
Eimear E KennyThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID http://orcid.org/0000-0001-9198-759X

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Optimizing imputation for diverse populations in a distributed frameworkU01HG009080 · NHGRI · STANFORD UNIVERSITY · PI KENNY, EIMEAR ELIZABETH · 2016 to 2020
$5.2M
Genetic Epidemiology of Causal Variants across the Life Course Phase II (CALiCo IU01HG007416 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NORTH, KARI E. · 2013 to 2017
$3.9M
Epidemiologic Studies of Putative Functional Variation in Multiethnic CohortU01HG007397 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2013 to 2017
$3.7M
NHGRI PAGE Coordinating CenterU01HG007419 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI BUYSKE, STEVEN G, MATISE, TARA C. · 2013 to 2017
$3.7M
Diverse ancestry biobank to map biomedical traits and elucidate health disparitieU01HG007417 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2013 to 2017
$3.5M
Exonic variants and their relation to complex traits in minorities of the WHIU01HG007376 · NHGRI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2013 to 2017
$3.2M
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
Sex- and Smoking- Specific DNA Methylation Signatures of Central Adiposity ChangeR00HL130580 · NHLBI · GEISINGER CLINIC · PI JUSTICE, ANNE · 2017 to 2019
$745k
NHGRI NIH HHS U01 HG007376NHGRI NIH HHS U01 HG007397NHGRI NIH HHS U01 HG007416NHGRI NIH HHS U01 HG007417NHGRI NIH HHS U01 HG007419NHGRI NIH HHS U01 HG009080NHLBI NIH HHS HHSN268201200008CNHLBI NIH HHS HHSN268201200008INHLBI NIH HHS R00 HL130580NIEHS NIH HHS P30 ES010126NIH HHS S10 OD018522
6 · The paper itself

Abstract

Achieving confidence in the causality of a disease locus is a complex task that often requires supporting data from both statistical genetics and clinical genomics. Here we describe a combined approach to identify and characterize a genetic disorder that leverages distantly related patients in a health system and population-scale mapping. We utilize genomic data to uncover components of distant pedigrees, in the absence of recorded pedigree information, in the multi-ethnic Bio

Indexed as

Molecular EpidemiologyPedigreeAdolescentAdultAgedChildCollagen DiseasesFemaleFibrillar CollagensGenotypeHeterozygoteHispanic or LatinoHomozygoteHumansMaleMiddle AgedCOL27A1 protein, humanFibrillar Collagenscollagen disorderElectronic Health Recordsevolutionary biologygenomicsGWAShumanhuman biologymedical geneticsmedicinepopulation genetics

Identifiers

PMID28895531
PMCPMC5595434

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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.