Article in European journal of human genetics : EJHG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 30% 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
5 citing papers in PubMed, 8 citations in OpenAlex.
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
9 authors at 3 institutions in 1 country.
August N BlackburnDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Lucy BlondellDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA. lucy.blondell@utrgv.edu.
Mark Z KosDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Nicholas B BlackburnDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.ORCID http://orcid.org/0000-0002-9774-1539
Juan M PeraltaDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.ORCID http://orcid.org/0000-0002-8811-5579
Peter T StevensDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Donna M LehmanDepartment of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
John BlangeroDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.ORCID http://orcid.org/0000-0001-6250-5723
Harald H H GöringDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
The University of Texas Rio Grande Valley · USSt. Mary's University, Texas · USThe University of Texas Health Science Center at San Antonio · US
Funding
Multiethnic Study of Type 2 Diabetes GenesU01DK085526 · NIDDK · BROAD INSTITUTE, INC. · PI ALTSHULER, DAVID, JABLONSKI, KATHLEEN ANN · 2009 to 2014
$15.7M
Whole Genome Sequencing to Identify Causal Genetic Variants Influencing CVD RiskR01HL113323 · NHLBI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI BLANGERO, JOHN, CURRAN, JOANNE E. · 2012 to 2016
$8.2M
Discovery of Functional Variants in Type 2 Diabetes Genes in Mexican AmericansU01DK085524 · NIDDK · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI BLANGERO, JOHN, DEFRONZO, RALPH A · 2009 to 2019
$5.9M
NIDDM SUSCEPTIBILITY GENES IN MEXICAN-AMERICANSR01DK047482 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 1993 to 2010
$5.4M
Identifying T2D Variants by DNA Sequencing in Multiethnic SamplesU01DK085584 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO, BOEHNKE, MICHAEL L · 2009 to 2013
$4.1M
Construction of a Biomedical Research Facility at the U*C06RR020547 · NCRR · UNIV/TEXAS BROWNSVILLE & SOUTHMOST COLL · PI KROUSE, JOHN H · 2010 to 2010
$4.0M
Identifying variants causal for Type 2 Diabetes in Major human populationsU01DK085545 · NIDDK · UNIVERSITY OF OXFORD · PI CHAN, JULIANA CN, EBRAHIM, SHAH BRIAN · 2009 to 2013
$2.8M
Identification and Replication of Type 2 Diabetes Genes in Mexican AmericansU01DK085501 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HANIS, CRAIG L · 2009 to 2013
$2.7M
A Genetic Study of Blood Metabolites and Their Relationship To Diabetes Risk.R01DK099051 · NIDDK · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI GORING, HARALD HEINZ HERBERT · 2013 to 2016
$2.4M
GENETICS OF GALLBLADDER DISEASE IN MEXICAN AMERICANSR01DK053889 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI DUGGIRALA, RAVINDRANATH · 1998 to 2011
$2.3M
Type 2 Diabetes Gene Discovery Linked to 3p in HispanicsR01DK070746 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 2007 to 2009
Phasing is the process of inferring haplotypes from genotype data. Efficient algorithms and associated software for accurate phasing in pedigrees are needed, especially for populations lacking reference panels of sequenced individuals. We present a novel method for phasing genotypes from whole-genome sequence data in pedigrees, called PULSAR (Phasing Using Lineage Specific Alleles/Rare variants). The method is based on the property that alleles specific to a single founding chromosome within a pedigree are highly informative for identifying haplotypes that are shared identical by descent. Simulation studies are used to assess the performance of PULSAR with various pedigree sizes and structures, and the effect of genotyping errors and the presence of nonsequenced individuals is investigated. In pedigrees with complete sequencing and realistic genotyping error rates, PULSAR correctly phases >99.9% of heterozygous genotypes, excluding sites at which all individuals are heterozygous, and does so with a switch error rate frequently below 10
Indexed as
GenotypeHaplotypesPedigreeAdultChildChromosomesFemaleFounder EffectGenome-Wide Association StudyGenotyping TechniquesHeterozygoteHumansMaleSensitivity and SpecificitySoftwareWhole Genome Sequencing
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.
Genotype phasing in pedigrees using whole-genome sequence data. · full record | OpenQuestion