Evidence map›Paper›PMID 27980647›Full record

ArticleBMC proceedings2016

Identity-by-descent mapping for diastolic blood pressure in unrelated Mexican Americans.

Xiao-Qing Liu, Jillian Fazio, Pingzhao Hu, Andrew D Paterson

Abstract read
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Leveraging genetic ancestry to study health disparities.American journal of physical anthropology · 2021
    Article
  3. Review
  4. 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

4 authors.

Xiao-Qing LiuDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of Manitoba, Winnipeg, MB R3E 3P4 Canada ; Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB R3E 3P4 Canada ; The Children's Hospital Research Institute of Manitoba, Winnipeg, MB R3E 3P4 Canada.
Jillian FazioDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of Manitoba, Winnipeg, MB R3E 3P4 Canada.
Pingzhao HuDepartment of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB R3E 3P4 Canada ; George and Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg, MB R3A 1R9 Canada.
Andrew D PatersonProgram in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4 Canada ; Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5G 0A4 Canada.

Funding

GENETIC ANALYSIS OF COMMON DISEASES: AN EVALUATIONR01GM031575 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 1985 to 2016
$7.8M
NIGMS NIH HHS R01 GM031575
6 · The paper itself

Abstract

Population-based identity by descent (IBD) mapping is a statistical method for detection of genetic loci that share an ancestral segment among "unrelated" pairs of individuals for a disease. As a complementary method to genome-wide association studies, IBD mapping is robust to allelic heterogeneity and may identify rare inherited variants when combined with sequence data. Our objective is to identify the causal genes for diastolic blood pressure (DBP). We applied a population-based IBD mapping method to 105 unrelated individuals selected from the family data provided for the Genetic Analysis Workshop 19. Using the genome-wide association study data (ie, the microarray data), chromosome 3 was scanned for IBD sharing segments among all pairs of these individuals. At the chromosomal region with the most significant relationship between IBD sharing and DBP, the whole genome sequence data were examined to identify the risk variants for DBP. The most significant chromosomal region that was identified to have a relationship between the IBD sharing and DBP was at 3q12.3 (

Identifiers

PMID27980647
PMCPMC5133517

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.