Evidence map›Paper›PMID 21283782›Full record

ArticlePLoS genetics2011

Application of a new method for GWAS in a related case/control sample with known pedigree structure: identification of new loci for nephrolithiasis.

Silvia Tore, Stefania Casula, Giuseppina Casu, Maria Pina Concas, Paola Pistidda, Ivana Persico, Alessandro Sassu, Giovanni Battista Maestrale, Caterina Mele, Maria Rosa Caruso and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Mutations in SLC34A3/NPT2c are associated with kidney stones and nephrocalcinosis.Journal of the American Society of Nephrology : JASN · 2014
    Pooled it
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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

16 authors at 6 institutions in 2 countries.

Silvia ToreIstituto di Genetica delle Popolazioni-CNR, Sassari, Italy.
Stefania Casula
Giuseppina Casu
Maria Pina Concas
Paola Pistidda
Ivana Persico
Alessandro Sassu
Giovanni Battista Maestrale
Caterina Mele
Maria Rosa Caruso
Bibiana Bonerba
Paolo Usai
Ivo Deiana
Timothy Thornton
Mario Pirastu
Paola Forabosco
Istituto di Genetica Molecolare · ITMario Negri Institute for Pharmacological Research · ITSantissima Trinità · ITUniversity of Bari Aldo Moro · ITUniversity of Bergamo · ITUniversity of Washington · US

Funding

Statistical Methods for Cancer Genetic Association Studies with Hidden PopulationK01CA148958 · NCI · UNIVERSITY OF WASHINGTON · PI THORNTON, TIMOTHY ALVIN · 2010 to 2014
$682k
NCI NIH HHS K01 CA 148958NCI NIH HHS K01 CA148958
6 · The paper itself

Abstract

In contrast to large GWA studies based on thousands of individuals and large meta-analyses combining GWAS results, we analyzed a small case/control sample for uric acid nephrolithiasis. Our cohort of closely related individuals is derived from a small, genetically isolated village in Sardinia, with well-characterized genealogical data linking the extant population up to the 16(th) century. It is expected that the number of risk alleles involved in complex disorders is smaller in isolated founder populations than in more diverse populations, and the power to detect association with complex traits may be increased when related, homogeneous affected individuals are selected, as they are more likely to be enriched with and share specific risk variants than are unrelated, affected individuals from the general population. When related individuals are included in an association study, correlations among relatives must be accurately taken into account to ensure validity of the results. A recently proposed association method uses an empirical genotypic covariance matrix estimated from genome-screen data to allow for additional population structure and cryptic relatedness that may not be captured by the genealogical data. We apply the method to our data, and we also investigate the properties of the method, as well as other association methods, in our highly inbred population, as previous applications were to outbred samples. The more promising regions identified in our initial study in the genetic isolate were then further investigated in an independent sample collected from the Italian population. Among the loci that showed association in this study, we observed evidence of a possible involvement of the region encompassing the gene LRRC16A, already associated to serum uric acid levels in a large meta-analysis of 14 GWAS, suggesting that this locus might lead a pathway for uric acid metabolism that may be involved in gout as well as in nephrolithiasis.

Indexed as

Genetic Predisposition to DiseaseCarrier ProteinsCase-Control StudiesCohort StudiesData Interpretation, StatisticalGenetic LociGenome-Wide Association StudyGoutHumansItalyMicrofilament ProteinsNephrolithiasisPedigreePolymorphism, Single NucleotideUric AcidCARMIL1 protein, humanCarrier ProteinsMicrofilament ProteinsUric Acid

Identifiers

PMID21283782
PMCPMC3024262
OpenAlexW2021943137

What OpenQuestion holds

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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 OpenQuestion graph.