Evidence map›Paper›PMID 30621171›Full record

ArticleNutrients2019

Genome-Wide Association Study (GWAS) on Bilirubin Concentrations in Subjects with Metabolic Syndrome: Sex-Specific GWAS Analysis and Gene-Diet Interactions in a Mediterranean Population.

Oscar Coltell, Eva M Asensio, José V Sorlí, Rocio Barragán, Rebeca Fernández-Carrión, Olga Portolés, Carolina Ortega-Azorín, Raul Martínez-LaCruz, José I González, Vicente Zanón-Moreno and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. Sex-specific associations of the bilirubin-to-albumin ratio with lung cancer risk: evidence from Cox regression and causal survival forest analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  11. Sex-specific genetic architecture of late-life memory performance.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  12. The Impact of Genetic Polymorphisms on the Anti-Hyperglycemic Effect of Dapagliflozin.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
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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

15 authors at 4 institutions in 2 countries.

Oscar ColtellDepartment of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain. oscar.coltell@uji.es.ORCID 0000-0002-4518-8495
Eva M AsensioCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. eva.m.asensio@uv.es.
José V SorlíCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. jose.sorli@uv.es.ORCID 0000-0002-0130-2006
Rocio BarragánCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. rocio.barragan@uv.es.ORCID 0000-0001-8072-3791
Rebeca Fernández-CarriónCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. Rebeca.Fernandez@uv.es.
Olga PortolésCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. Olga.Portoles@uv.es.
Carolina Ortega-AzorínCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. carolina.ortega@uv.es.
Raul Martínez-LaCruzCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. raulmartinezlacruz@gmail.com.
José I GonzálezCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. Ignacio.Glez-Arraez@uv.es.
Vicente Zanón-MorenoArea of Health Sciences, Valencian International University, 46002 Valencia, Spain. vczanon@universidadviu.com.ORCID 0000-0003-1179-1592
Ignacio Gimenez-AlbaDepartment of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain. nachoga16@gmail.com.
Montserrat FitóCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. Mfito@imim.es.
Emilio RosCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. EROS@clinic.cat.
Jose M OrdovasNutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA 02111, USA. jose.ordovas@tufts.edu.
Dolores CorellaCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. Dolores.corella@uv.es.ORCID 0000-0002-2366-4104
Universitat de València · ESInstituto de Salud Carlos III · ESTufts University · USUniversitat Jaume I · ES

Funding

Fundació La Marató de TV3 538/U/2016Generalitat Valenciana AEST/2018/044Generalitat Valenciana PROMETEO2017/017Real Colegio Complutense at Harvard University Dolores Corella research staySpanish Ministry of Health (Instituto de Salud Carlos III) and the Ministerio de Economía y Competitividad-Fondo Europeo de Desarrollo Regional (FEDER) CIBER 06/03Spanish Ministry of Health (Instituto de Salud Carlos III) and the Ministerio de Economía y Competitividad-Fondo Europeo de Desarrollo Regional (FEDER) PI06/1326Spanish Ministry of Health (Instituto de Salud Carlos III) and the Ministerio de Economía y Competitividad-Fondo Europeo de Desarrollo Regional (FEDER) PI16/00366Spanish Ministry of Health (Instituto de Salud Carlos III) and the Ministerio de Economía y Competitividad-Fondo Europeo de Desarrollo Regional (FEDER) PRX17/00500Spanish Ministry of Health (Instituto de Salud Carlos III) and the Ministerio de Economía y Competitividad-Fondo Europeo de Desarrollo Regional (FEDER) SAF2016-80532-RUniversity Jaume I COGRUP/2016/06University Jaume I P1-1B2013-54
6 · The paper itself

Abstract

Although, for decades, increased serum bilirubin concentrations were considered a threatening sign of underlying liver disease and had been associated with neonatal jaundice, data from recent years show that bilirubin is a powerful antioxidant and suggest that slightly increased serum bilirubin concentrations are protective against oxidative stress-related diseases, such as cardiovascular diseases. Therefore, a better understanding of the gene-diet interactions in determining serum bilirubin concentrations is needed. None of the previous genome-wide association studies (GWAS) on bilirubin concentrations has been stratified by sex. Therefore, considering the increasing interest in incorporating the gender perspective into nutritional genomics, our main aim was to carry out a GWAS on total serum bilirubin concentrations in a Mediterranean population with metabolic syndrome, stratified by sex. Our secondary aim was to explore, as a pilot study, the presence of gene-diet interactions at the GWAS level. We included 430 participants (188 men and 242 women, aged 55⁻75 years, and with metabolic syndrome) in the PREDIMED Plus-Valencia study. Global and sex-specific GWAS were undertaken to analyze associations and gene-diet interaction on total serum bilirubin. Adherence (low and high) to the Mediterranean diet (MedDiet) was analyzed as the dietary modulator. In the GWAS, we detected more than 55 SNPs associated with serum bilirubin at

Indexed as

Genome-Wide Association StudyAgedBilirubinCross-Sectional StudiesDietDiet, MediterraneanFemaleGenotypeGlucuronosyltransferaseHumansLife StyleLinkage DisequilibriumMaleMediterranean RegionMetabolic SyndromeMiddle AgedBilirubinGlucuronosyltransferaseUGT1A1 Enzymebilirubingene-diet interactionGWASMediterraneansex-specificUGT1A1

Identifiers

PMID30621171
PMCPMC6356696
OpenAlexW2907321135

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.