Evidence map›Paper›PMID 26064873›Full record

ArticleInternational journal of genomics2015

Impact of Population Stratification on Family-Based Association in an Admixed Population.

T B Mersha, L Ding, H He, E S Alexander, X Zhang, B G Kurowski, V Pilipenko, L Kottyan, L J Martin, D W Fardo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

T B MershaDivisions of Asthma Research, Biostatistics and Epidemiology, Human Genetics, and Physical Medicine and Rehabilitation and Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA ; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
L DingDivisions of Asthma Research, Biostatistics and Epidemiology, Human Genetics, and Physical Medicine and Rehabilitation and Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA ; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
H HeDivisions of Asthma Research, Biostatistics and Epidemiology, Human Genetics, and Physical Medicine and Rehabilitation and Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
E S AlexanderDivisions of Asthma Research, Biostatistics and Epidemiology, Human Genetics, and Physical Medicine and Rehabilitation and Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA ; Health Services Administration, Xavier University, Cincinnati, OH 45207, USA.
X ZhangDivisions of Asthma Research, Biostatistics and Epidemiology, Human Genetics, and Physical Medicine and Rehabilitation and Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.ORCID 0000-0002-4944-7677
B G KurowskiDivisions of Asthma Research, Biostatistics and Epidemiology, Human Genetics, and Physical Medicine and Rehabilitation and Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA ; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
V PilipenkoDivisions of Asthma Research, Biostatistics and Epidemiology, Human Genetics, and Physical Medicine and Rehabilitation and Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
L KottyanDivisions of Asthma Research, Biostatistics and Epidemiology, Human Genetics, and Physical Medicine and Rehabilitation and Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA ; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
L J MartinDivisions of Asthma Research, Biostatistics and Epidemiology, Human Genetics, and Physical Medicine and Rehabilitation and Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA ; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
D W FardoDepartment of Biostatistics, University of Kentucky, Lexington, KY 40536, USA.

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
Multiethnic Study of Type 2 Diabetes GenesU01DK085526 · NIDDK · BROAD INSTITUTE, INC. · PI ALTSHULER, DAVID, JABLONSKI, KATHLEEN ANN · 2009 to 2014
$15.7M
GENETIC ANALYSIS OF COMMON DISEASES: AN EVALUATIONR01GM031575 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 1985 to 2016
$7.8M
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
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
GENETICS OF GALLBLADDER DISEASE IN MEXICAN AMERICANSR01DK053889 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI DUGGIRALA, RAVINDRANATH · 1998 to 2011
$2.3M
Admixture mapping in African American Asthmatic ChildrenK01HL103165 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI MERSHA, TESFAYE B. · 2010 to 2014
$648k
Statistical Genetics Methods for Mixed PathologiesK25AG043546 · NIA · UNIVERSITY OF KENTUCKY · PI FARDO, DAVID WILLIAM · 2013 to 2015
$445k
Efficacy of Methylphenidate for Management of Long-term Attention Problems inTBIK23HD074683 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI KUROWSKI, BRAD G · 2013 to 2016
$426k
NCATS NIH HHS UL1 TR001425NHLBI NIH HHS K01 HL103165NIA NIH HHS K25 AG043546NICHD NIH HHS K23 HD074683NIDDK NIH HHS R01 DK047482NIDDK NIH HHS R01 DK053889NIDDK NIH HHS U01 DK085501NIDDK NIH HHS U01 DK085524NIDDK NIH HHS U01 DK085526NIDDK NIH HHS U01 DK085545NIDDK NIH HHS U01 DK085584NIGMS NIH HHS R01 GM031575
6 · The paper itself

Abstract

Population substructure is a well-known confounder in population-based case-control genetic studies, but its impact in family-based studies is unclear. We performed population substructure analysis using extended families of admixed population to evaluate power and Type I error in an association study framework. Our analysis shows that power was improved by 1.5% after principal components adjustment. Type I error was also reduced by 2.2% after adjusting for family substratification. The presence of population substructure was underscored by discriminant analysis, in which over 92% of individuals were correctly assigned to their actual family using only 100 principal components. This study demonstrates the importance of adjusting for population substructure in family-based studies of admixed populations.

Identifiers

PMID26064873
PMCPMC4434195

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.