Evidence map›Paper›PMID 29237685›Full record

ArticleCirculation. Cardiovascular genetics2017

Identity-by-Descent Mapping Identifies Major Locus for Serum Triglycerides in Amerindians Largely Explained by an

Wen-Chi Hsueh, Anup K Nair, Sayuko Kobes, Peng Chen, Harald H H Göring, Toni I Pollin, Alka Malhotra, William C Knowler, Leslie J Baier, Robert L Hanson

Open access · diamondAbstract read
In one paragraph

Article in Circulation. Cardiovascular genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Wen-Chi HsuehFrom the Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, AZ (W.-C.H., A.K.N., S.K., P.C., A.M., W.C.K., L.J.B., R.L.H.); South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, San Antonio (H.H.H.G.); Departments of Medicine and Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore (T.I.P.); and Illumina Inc, San Diego, CA (A.M.). wen-chi.hsueh@nih.gov.
Anup K NairFrom the Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, AZ (W.-C.H., A.K.N., S.K., P.C., A.M., W.C.K., L.J.B., R.L.H.); South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, San Antonio (H.H.H.G.); Departments of Medicine and Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore (T.I.P.); and Illumina Inc, San Diego, CA (A.M.).
Sayuko KobesFrom the Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, AZ (W.-C.H., A.K.N., S.K., P.C., A.M., W.C.K., L.J.B., R.L.H.); South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, San Antonio (H.H.H.G.); Departments of Medicine and Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore (T.I.P.); and Illumina Inc, San Diego, CA (A.M.).
Peng ChenFrom the Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, AZ (W.-C.H., A.K.N., S.K., P.C., A.M., W.C.K., L.J.B., R.L.H.); South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, San Antonio (H.H.H.G.); Departments of Medicine and Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore (T.I.P.); and Illumina Inc, San Diego, CA (A.M.).
Harald H H GöringFrom the Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, AZ (W.-C.H., A.K.N., S.K., P.C., A.M., W.C.K., L.J.B., R.L.H.); South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, San Antonio (H.H.H.G.); Departments of Medicine and Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore (T.I.P.); and Illumina Inc, San Diego, CA (A.M.).
Toni I PollinFrom the Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, AZ (W.-C.H., A.K.N., S.K., P.C., A.M., W.C.K., L.J.B., R.L.H.); South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, San Antonio (H.H.H.G.); Departments of Medicine and Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore (T.I.P.); and Illumina Inc, San Diego, CA (A.M.).
Alka MalhotraFrom the Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, AZ (W.-C.H., A.K.N., S.K., P.C., A.M., W.C.K., L.J.B., R.L.H.); South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, San Antonio (H.H.H.G.); Departments of Medicine and Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore (T.I.P.); and Illumina Inc, San Diego, CA (A.M.).
William C KnowlerFrom the Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, AZ (W.-C.H., A.K.N., S.K., P.C., A.M., W.C.K., L.J.B., R.L.H.); South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, San Antonio (H.H.H.G.); Departments of Medicine and Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore (T.I.P.); and Illumina Inc, San Diego, CA (A.M.).
Leslie J BaierFrom the Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, AZ (W.-C.H., A.K.N., S.K., P.C., A.M., W.C.K., L.J.B., R.L.H.); South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, San Antonio (H.H.H.G.); Departments of Medicine and Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore (T.I.P.); and Illumina Inc, San Diego, CA (A.M.).
Robert L HansonFrom the Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, AZ (W.-C.H., A.K.N., S.K., P.C., A.M., W.C.K., L.J.B., R.L.H.); South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, San Antonio (H.H.H.G.); Departments of Medicine and Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore (T.I.P.); and Illumina Inc, San Diego, CA (A.M.).
University of Maryland, Baltimore · USThe University of Texas Rio Grande Valley · US

Funding

Genetic Epidemiology of Diabetic NephropathyZIADK069094 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HANSON, ROBERT · 2009 to 2025
$7.7M
Epidemiology of Type 2 Diabetes Mellitus in the Gila River Indian CommunityZIADK069000 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KNOWLER, WILLIAM C · 2009 to 2021
$3.4M
The Metabolic Impact of Congenital Heterozygous ApoC-III Deficiency in HumansR01HL104193 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI POLLIN, TONI I. · 2011 to 2015
$3.0M
Intramural NIH HHS Z99 DK999999NHLBI NIH HHS R01 HL104193
6 · The paper itself

Abstract

backgroundIdentity-by-descent mapping using empirical estimates of identity-by-descent allele sharing may be useful for studies of complex traits in founder populations, where hidden relationships may augment the inherent genetic information that can be used for localization. METHODS AND

resultsThrough identity-by-descent mapping, using ≈400 000 single-nucleotide polymorphisms (SNPs), of serum lipid profiles, we identified a major linkage signal for triglycerides in 1007 Pima Indians (LOD=9.23;

conclusions

Indexed as

Founder EffectGenome-Wide Association StudyMutationApolipoprotein A-VApolipoprotein C-IIIChromosomes, Human, Pair 11Gene FrequencyGenotypeHaplotypesHumansIndians, North AmericanLinkage DisequilibriumLipidsPolymorphism, Single NucleotideTriglyceridesApolipoprotein A-VApolipoprotein C-IIILipidsTriglyceridesalleleschromosomegenome-wide association studymutationtriglycerides

Identifiers

PMID29237685
PMCPMC5736502
OpenAlexW2775410262

What Socratic holds

Textmetadata
LicenceTDM
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.