Evidence map›Paper›PMID 21829380›Full record

ArticlePLoS genetics2011

Fine mapping of five loci associated with low-density lipoprotein cholesterol detects variants that double the explained heritability.

Serena Sanna, Bingshan Li, Antonella Mulas, Carlo Sidore, Hyun M Kang, Anne U Jackson, Maria Grazia Piras, Gianluca Usala, Giuseppe Maninchedda, Alessandro Sassu and 15 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 98 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 4 pooled it
17.8field-weighted citation impact, top 1% 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

98 citing papers in PubMed, 4 syntheses or guidelines pooled it, 174 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Efficiency of trans-ethnic genome-wide meta-analysis and fine-mapping.European journal of human genetics : EJHG · 2012
    Pooled it
  5. Large-Scale Phenome-Wide Association Study ofCirculation. Genomic and precision medicine · 2018
    Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Rare Coding Variants Associated with Breast Cancer.Advances in experimental medicine and biology · 2021
    Article
  19. Article
  20. Article

38 more citing papers are in PubMed but not listed here.

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

25 authors at 9 institutions in 4 countries.

Serena SannaIstituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Italy. serena.sanna@inn.cnr.it
Bingshan Li
Antonella Mulas
Carlo Sidore
Hyun M Kang
Anne U Jackson
Maria Grazia Piras
Gianluca Usala
Giuseppe Maninchedda
Alessandro Sassu
Fabrizio Serra
Maria Antonietta Palmas
William H Wood
Inger Njølstad
Markku Laakso
Kristian Hveem
Jaakko Tuomilehto
Timo A Lakka
Rainer Rauramaa
Michael Boehnke
Francesco Cucca
Manuela Uda
David Schlessinger
Ramaiah Nagaraja
Gonçalo R Abecasis
Institute of Genetic and Biomedical Research · ITMichigan United · USNational Institute on Aging · USUniversity of Eastern Finland · FINorwegian University of Science and Technology · NOUiT The Arctic University of Norway · NOUniversity of Helsinki · FIUniversity of Michigan–Ann Arbor · USUniversity of Sassari · IT

Funding

Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
Identifying Genes for Type 2 Diabetes:FUSIONR01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2003 to 2025
$6.7M
Aging-related Traits and Disease Risk Factors in a Sardinian Population CohortZIAAG000675 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2021
$5.7M
DESIGN AND ANALYSIS OF HUMAN GENE MAPPING STUDIESR01HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 1993 to 2016
$5.5M
Genetics of Lipid Levels: Draft Sequencing of 1000 GenomesRC2HG005581 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2009 to 2010
$4.0M
Computational and Statistical Models for Human PedigreesR01HG002651 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2003 to 2008
$2.9M
Integrated Parametric and Non-parametric Mapping for Genome-Wife Association DataU01HL084729 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2006 to 2008
$872k
Identifying Genes for Type 2 Diabetes: FUSIONR56DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2008 to 2008
$500k
Design and Analysis of Human Gene Mapping StudiesR56HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2017 to 2017
$400k
Intramural NIH HHSNHGRI NIH HHS HG002651NHGRI NIH HHS HG005581NHGRI NIH HHS R01 HG000376NHGRI NIH HHS R01 HG002651NHGRI NIH HHS R56 HG000376NHGRI NIH HHS RC2 HG005581NHLBI NIH HHS HL084729NHLBI NIH HHS U01 HL084729NIA NIH HHS N01-AG-1-2109NIDDK NIH HHS DK062370NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK062370PHS HHS 263-MA-410953
6 · The paper itself

Abstract

Complex trait genome-wide association studies (GWAS) provide an efficient strategy for evaluating large numbers of common variants in large numbers of individuals and for identifying trait-associated variants. Nevertheless, GWAS often leave much of the trait heritability unexplained. We hypothesized that some of this unexplained heritability might be due to common and rare variants that reside in GWAS identified loci but lack appropriate proxies in modern genotyping arrays. To assess this hypothesis, we re-examined 7 genes (APOE, APOC1, APOC2, SORT1, LDLR, APOB, and PCSK9) in 5 loci associated with low-density lipoprotein cholesterol (LDL-C) in multiple GWAS. For each gene, we first catalogued genetic variation by re-sequencing 256 Sardinian individuals with extreme LDL-C values. Next, we genotyped variants identified by us and by the 1000 Genomes Project (totaling 3,277 SNPs) in 5,524 volunteers. We found that in one locus (PCSK9) the GWAS signal could be explained by a previously described low-frequency variant and that in three loci (PCSK9, APOE, and LDLR) there were additional variants independently associated with LDL-C, including a novel and rare LDLR variant that seems specific to Sardinians. Overall, this more detailed assessment of SNP variation in these loci increased estimates of the heritability of LDL-C accounted for by these genes from 3.1% to 6.5%. All association signals and the heritability estimates were successfully confirmed in a sample of ∼10,000 Finnish and Norwegian individuals. Our results thus suggest that focusing on variants accessible via GWAS can lead to clear underestimates of the trait heritability explained by a set of loci. Further, our results suggest that, as prelude to large-scale sequencing efforts, targeted re-sequencing efforts paired with large-scale genotyping will increase estimates of complex trait heritability explained by known loci.

Indexed as

Chromosome MappingGenetic VariationCholesterol, LDLGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansItalyPolymorphism, Single NucleotideWhite PeopleCholesterol, LDL

Identifiers

PMID21829380
PMCPMC3145627
OpenAlexW2121662608

What OpenQuestion 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 OpenQuestion graph.