Evidence map›Paper›PMID 27980624›Full record

ArticleBMC proceedings2016

Identifying regions of disease-related variants in admixed populations with the summation partition approach.

Jonathan Auerbach, Michael Agne, Rachel Fan, Adeline Lo, Shaw-Hwa Lo, Tian Zheng, Pei Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC proceedings, 2016. 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

7 authors.

Jonathan AuerbachDepartment of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027 USA.
Michael AgneDepartment of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027 USA.
Rachel FanDepartment of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027 USA.
Adeline LoDepartment of Political Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA.
Shaw-Hwa LoDepartment of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027 USA.
Tian ZhengDepartment of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027 USA.
Pei WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1428 Madison Avenue, New York, NY 10029 USA.

Funding

Use of Biomarkers in Diagnosis, Prognosis, Risk Prediction and Early Detection ofP01CA053996 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HSU, LI · 1991 to 2015
$9.4M
GENETIC ANALYSIS OF COMMON DISEASES: AN EVALUATIONR01GM031575 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 1985 to 2016
$7.8M
NCI NIH HHS P01 CA053996NIGMS NIH HHS R01 GM031575
6 · The paper itself

Abstract

We propose a new method for identifying disease-related regions of single nucleotide variants in recently admixed populations. We use principal component analysis to derive both global and local ancestry information. We then use the summation partition approach to search for disease-related regions based on both rare variants and the local ancestral information of each region. We demonstrate this method using individuals with high systolic blood pressure from a sample of unrelated Mexican American subjects provided in the 19th Genetic Analysis Workshop.

Identifiers

PMID27980624
PMCPMC5133488

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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.