Evidence map›Paper›PMID 23295781›Full record

ArticlePancreas2013

A resequence analysis of genomic loci on chromosomes 1q32.1, 5p15.33, and 13q22.1 associated with pancreatic cancer risk.

Hemang Parikh, Jinping Jia, Xijun Zhang, Charles C Chung, Kevin B Jacobs, Meredith Yeager, Joseph Boland, Amy Hutchinson, Laura Burdett, Jason Hoskins and 8 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Pancreas, 2013. 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
0.9field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  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

18 authors at 7 institutions in 1 country.

Hemang ParikhLaboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Jinping Jia
Xijun Zhang
Charles C Chung
Kevin B Jacobs
Meredith Yeager
Joseph Boland
Amy Hutchinson
Laura Burdett
Jason Hoskins
Harvey A Risch
Rachael Z Stolzenberg-Solomon
Stephen J Chanock
Brian M Wolpin
Gloria M Petersen
Charles S Fuchs
Patricia Hartge
Laufey Amundadottir
National Institutes of Health · USScience Applications International Corporation (United States) · USHarvard University Press · USDepartment of Health and Human Services · USMayo Clinic · USNational Cancer Institute · USYale University · US

Funding

Whole Genome Scan in the Pancreatic Cancer Cohort Consortium (PanScan)ZIACP010193 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI STOLZENBERG-SOLOMON, RACHAEL · 2009 to 2025
$9.5M
Cohort Study of Biochemical and Genetic Risk Factors for Pancreatic CancerK07CA140790 · NCI · DANA-FARBER CANCER INST · PI WOLPIN, BRIAN MATTHEW · 2009 to 2013
$890k
CCR NIH HHS HHSN261200800001CIntramural NIH HHS ZIA CP010193NCI NIH HHS HHSN261200800001ENCI NIH HHS K07 CA140790
6 · The paper itself

Abstract

objectiveThe objective of this study was to fine-map common pancreatic cancer susceptibility regions.

methodsWe conducted targeted Roche-454 resequencing across 428 kb in 3 genomic regions identified in genome-wide association studies (GWAS) of pancreatic cancer, on chromosomes 1q32.1, 5p15.33, and 13q22.1.

resultsAn analytical pipeline for calling genotypes was developed using HapMap samples sequenced on chr5p15.33. Concordance to 1000 Genomes data for chr5p15.33 was greater than 96%. The concordance for chr1q32.1 and chr13q22.1 with pancreatic cancer GWAS data was greater than 99%. Between 9.2% and 19.0% of variants detected were not present in 1000 Genomes for the respective continental population. The majority of completely novel single-nucleotide polymorphisms (SNPs) were less common (minor allele frequency [MAF], ≤5%) or rare (MAF, ≤2%), illustrating the value of enlarging test sets for discovery of less common variants. Using the data set, we examined haplotype blocks across each region using a tag SNP analysis (r² > 0.8 for MAF of ≥5%) and determined that at least 196, 243, and 63 SNPs are required for fine-mapping chr1q32.1, chr5p15.33, and chr13q22.1, respectively, in European populations.

conclusionsWe have characterized germline variation in 3 regions associated with pancreatic cancer risk and show that targeted resequencing leads to the discovery of novel variants and improves the completeness of germline sequence variants for fine-mapping GWAS susceptibility loci.

Indexed as

Chromosomes, Human, Pair 1Chromosomes, Human, Pair 13Chromosomes, Human, Pair 5Genetic LociPolymorphism, Single NucleotideSequence Analysis, DNADatabases, GeneticGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyHaplotypesHumansLinkage DisequilibriumPancreatic NeoplasmsRacial GroupsRisk Assessment

Identifiers

PMID23295781
PMCPMC3618611
OpenAlexW2069260443

What OpenQuestion holds

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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.