Evidence map›Paper›PMID 23555291›Full record

ArticlePLoS genetics2013

Trans-ethnic fine-mapping of lipid loci identifies population-specific signals and allelic heterogeneity that increases the trait variance explained.

Ying Wu, Lindsay L Waite, Anne U Jackson, Wayne H-H Sheu, Steven Buyske, Devin Absher, Donna K Arnett, Eric Boerwinkle, Lori L Bonnycastle, Cara L Carty and 67 more

Abstract read
In one paragraph

Article in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 10 pooled it
–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.

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3 · Its place in the literature

Who cites it

81 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  11. Large-Scale Phenome-Wide Association Study ofCirculation. Genomic and precision medicine · 2018
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  20. Genome-Wide Association Study Identifies a FunctionalArteriosclerosis, thrombosis, and vascular biology · 2021
    Article

21 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

77 authors.

Ying WuDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Lindsay L Waite
Anne U Jackson
Wayne H-H Sheu
Steven Buyske
Devin Absher
Donna K Arnett
Eric Boerwinkle
Lori L Bonnycastle
Cara L Carty
Iona Cheng
Barbara Cochran
Damien C Croteau-Chonka
Logan Dumitrescu
Charles B Eaton
Nora Franceschini
Xiuqing Guo
Brian E Henderson
Lucia A Hindorff
Eric Kim
Leena Kinnunen
Pirjo Komulainen
Wen-Jane Lee
Loic Le Marchand
Yi Lin
Jaana Lindström
Oddgeir Lingaas-Holmen
Sabrina L Mitchell
Narisu Narisu
Jennifer G Robinson
Fred Schumacher
Alena Stančáková
Jouko Sundvall
Yun-Ju Sung
Amy J Swift
Wen-Chang Wang
Lynne Wilkens
Tom Wilsgaard
Alicia M Young
Linda S Adair
Christie M Ballantyne
Petra Bůžková
Aravinda Chakravarti
Francis S Collins
David Duggan
Alan B Feranil
Low-Tone Ho
Yi-Jen Hung
Steven C Hunt
Kristian Hveem
Jyh-Ming J Juang
Antero Y Kesäniemi
Johanna Kuusisto
Markku Laakso
Timo A Lakka
I-Te Lee
Mark F Leppert
Tara C Matise
Leena Moilanen
Inger Njølstad
Ulrike Peters
Thomas Quertermous
Rainer Rauramaa
Jerome I Rotter
Jouko Saramies
Jaakko Tuomilehto
Matti Uusitupa
Tzung-Dau Wang
Michael Boehnke
Christopher A Haiman
Yii-Der I Chen
Charles Kooperberg
Themistocles L Assimes
Dana C Crawford
Chao A Hsiung
Kari E North
Karen L Mohlke

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
VALIDATION OF A DIET HISTORY METHOD FOR EPIDEMIOLOGIC STUDIES OF CANCERP01CA033619 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 1985 to 2010
$18.5M
HYPERGEN: GENETICS OF LEFT VENTRICULAR HYPERTROPHYR01HL055673 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 1996 to 2016
$18.1M
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
Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098758 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2003 to 2010
$11.0M
FIC NIH HHS R01 TW005596FIC NIH HHS TW05596Intramural NIH HHS Z01 HG000024NCI NIH HHS P01 CA033619NCI NIH HHS P01CA33619NCI NIH HHS R01 CA63NCI NIH HHS R37 CA054281NCI NIH HHS R37CA54281NCI NIH HHS U01 CA098758NCI NIH HHS U01 CA136792NCI NIH HHS U01CA136792NCI NIH HHS U01CA98758NCRR NIH HHS P20 RR020649NCRR NIH HHS RR20649NHGRI NIH HHS 1Z01-HG000024NHGRI NIH HHS U01 HG004790NHGRI NIH HHS U01HG004790NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01HG004798NHGRI NIH HHS U01 HG004801NHGRI NIH HHS U01HG004801NHGRI NIH HHS U01HG004801-01NHGRI NIH HHS U01 HG004802NHGRI NIH HHS U01HG004802NHGRI NIH HHS U01 HG004803NHGRI NIH HHS U01HG004803NHLBI NIH HHS 2 R01 HL55673-12NHLBI NIH HHS HL085144NHLBI NIH HHS HL087647NHLBI NIH HHS HL54471NHLBI NIH HHS HL54472NHLBI NIH HHS HL54473NHLBI NIH HHS HL54495NHLBI NIH HHS HL54496NHLBI NIH HHS HL54497NHLBI NIH HHS HL54509NHLBI NIH HHS HL54515NHLBI NIH HHS N01 HC055015NHLBI NIH HHS N01 HC055016NHLBI NIH HHS N01 HC055018NHLBI NIH HHS N01 HC055019NHLBI NIH HHS N01 HC055020NHLBI NIH HHS N01 HC055021NHLBI NIH HHS N01 HC055022NHLBI NIH HHS N01-HC-55015NHLBI NIH HHS N01-HC-55016NHLBI NIH HHS N01-HC-55018NHLBI NIH HHS N01-HC-55019NHLBI NIH HHS N01-HC-55020NHLBI NIH HHS N01-HC-55021NHLBI NIH HHS N01-HC-55022NHLBI NIH HHS R01 HL055673NHLBI NIH HHS R01 HL085144NHLBI NIH HHS R01 HL087647NHLBI NIH HHS U01 HL054471NHLBI NIH HHS U01 HL054472NHLBI NIH HHS U01 HL054473NHLBI NIH HHS U01 HL054495NHLBI NIH HHS U01 HL054496NHLBI NIH HHS U01 HL054497NHLBI NIH HHS U01 HL054509NHLBI NIH HHS U10 HL054471NHLBI NIH HHS U10 HL054472NHLBI NIH HHS U10 HL054473NHLBI NIH HHS U10 HL054495NHLBI NIH HHS U10 HL054496NHLBI NIH HHS U10 HL054497NHLBI NIH HHS U10 HL054509NIDDK NIH HHS DK062370NIDDK NIH HHS DK072193NIDDK NIH HHS DK078150NIDDK NIH HHS DK093757NIDDK NIH HHS DK56350NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01 DK078150NIDDK NIH HHS R01 DK093757NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK062370NIEHS NIH HHS ES10126NIEHS NIH HHS P30 ES010126PHS HHS 24152PHS HHS 32100-2PHS HHS 32105-6PHS HHS 32108-9PHS HHS 32111-13PHS HHS 32115PHS HHS 32118-32119PHS HHS 32122PHS HHS 42107-26PHS HHS 42129-32PHS HHS 44221WHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified ~100 loci associated with blood lipid levels, but much of the trait heritability remains unexplained, and at most loci the identities of the trait-influencing variants remain unknown. We conducted a trans-ethnic fine-mapping study at 18, 22, and 18 GWAS loci on the Metabochip for their association with triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), respectively, in individuals of African American (n = 6,832), East Asian (n = 9,449), and European (n = 10,829) ancestry. We aimed to identify the variants with strongest association at each locus, identify additional and population-specific signals, refine association signals, and assess the relative significance of previously described functional variants. Among the 58 loci, 33 exhibited evidence of association at P<1 × 10(-4) in at least one ancestry group. Sequential conditional analyses revealed that ten, nine, and four loci in African Americans, Europeans, and East Asians, respectively, exhibited two or more signals. At these loci, accounting for all signals led to a 1.3- to 1.8-fold increase in the explained phenotypic variance compared to the strongest signals. Distinct signals across ancestry groups were identified at PCSK9 and APOA5. Trans-ethnic analyses narrowed the signals to smaller sets of variants at GCKR, PPP1R3B, ABO, LCAT, and ABCA1. Of 27 variants reported previously to have functional effects, 74% exhibited the strongest association at the respective signal. In conclusion, trans-ethnic high-density genotyping and analysis confirm the presence of allelic heterogeneity, allow the identification of population-specific variants, and limit the number of candidate SNPs for functional studies.

Indexed as

Genome-Wide Association StudyApolipoprotein A-VApolipoproteins ABlack or African AmericanCholesterol, HDLCholesterol, LDLHumansLipoproteins, HDLLipoproteins, LDLProprotein Convertase 9Proprotein ConvertasesSerine EndopeptidasesTriglyceridesWhite PeopleAPOA5 protein, humanApolipoprotein A-VApolipoproteins ACholesterol, HDLCholesterol, LDLLipoproteins, HDLLipoproteins, LDLPCSK9 protein, humanProprotein Convertase 9Proprotein ConvertasesSerine EndopeptidasesTriglycerides

Identifiers

PMID23555291
PMCPMC3605054

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