Evidence map›Paper›PMID 29753233›Full record

ArticleAtherosclerosis2018

Associations of Y chromosomal haplogroups with cardiometabolic risk factors and subclinical vascular measures in males during childhood and adolescence.

Linda M O'Keeffe, Laura D Howe, Abigail Fraser, Alun D Hughes, Kaitlin H Wade, Emma L Anderson, Debbie A Lawlor, A Mesut Erzurumluoglu, George Davey-Smith, Santiago Rodriguez and 1 more

Abstract read
In one paragraph

Article in Atherosclerosis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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.

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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Y-Chromosome Gene,American journal of respiratory and critical care medicine · 2022
    Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

11 authors.

Linda M O'KeeffeMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK. Electronic address: Linda.okeeffe@bristol.ac.uk.
Laura D HoweMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK.
Abigail FraserMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK.
Alun D HughesMRC Unit of Lifelong Health & Aging at UCL, Institute of Cardiovascular Science, University College London, London, WC1E6BT, UK.
Kaitlin H WadeMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK.
Emma L AndersonMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK.
Debbie A LawlorMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK.
A Mesut ErzurumluogluGenetic Epidemiology Group, Department of Health Sciences, Centre for Medicine, University Road, University of Leicester, LE1 7RH, UK.
George Davey-SmithMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK.
Santiago RodriguezMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK.
Evie StergiakouliMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS82BN, UK; School of Oral and Dental Sciences, University of Bristol, UK.

Funding

British Heart Foundation CS/13/1/30327British Heart Foundation CS/15/6/31468British Heart Foundation PG/15/75/31748Department of HealthMedical Research Council G9815508Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/7Medical Research Council MC_UU_12013/5Medical Research Council MC_UU_12013/6Medical Research Council MC_UU_12013/9Medical Research Council MC_UU_12019/1Medical Research Council MR/M009351/1Medical Research Council MR/M014509/1Medical Research Council MR/M020894/1Medical Research Council MR/P014437/1Wellcome TrustWellcome Trust 086676/7/08/ZWellcome Trust 102215/2/13/2
6 · The paper itself

Abstract

BACKGROUND AND

aimsMales have greater cardiometabolic risk than females, though the reasons for this are poorly understood. The aim of this study was to examine the association between common Y chromosomal haplogroups and cardiometabolic risk during early life.

methodsIn a British birth cohort, we examined the association of Y chromosomal haplogroups with trajectories of cardiometabolic risk factors from birth to 18 years and with carotid-femoral pulse wave velocity, carotid intima media thickness and left ventricular mass index at age 18. Haplogroups were grouped according to their phylogenetic relatedness into categories of R, I, E, J, G and all other haplogroups combined (T, Q, H, L, C, N and O). Risk factors included BMI, fat and lean mass, systolic blood pressure (SBP), diastolic blood pressure, pulse rate, triglycerides, high density lipoprotein cholesterol (HDL-c), non-HDL-c and c-reactive protein. Analyses were performed using multilevel models and linear regression, as appropriate.

resultsY chromosomal haplogroups were not associated with any cardiometabolic risk factors from birth to 18 years. For example, at age 18, the difference in SBP comparing each haplogroup with haplogroup R was -0.39 mmHg (95% Confidence Interval (CI): -0.75, 1.54) for haplogroup I, 2.56 mmHg (95% CI: -0.76, 5.89) for haplogroup E, -0.02 mmHg (95% CI: -2.87, 2.83) for haplogroup J, 1.28 mmHg (95% CI: -4.70, 2.13) for haplogroup G and -2.75 mmHg (95% CI: -6.38, 0.88) for all other haplogroups combined.

conclusionsCommon Y chromosomal haplogroups are not associated with cardiometabolic risk factors during childhood and adolescence or with subclinical cardiovascular measures at age 18.

Indexed as

HaplotypesAdolescentAge FactorsAsymptomatic DiseasesCardiovascular DiseasesChildChild, PreschoolChromosomes, Human, YEnglandGenetic Predisposition to DiseaseHealth StatusHumansInfantInfant, NewbornLongitudinal StudiesMaleAdolescenceCardiometabolicChildhoodVascularY chromosome

Identifiers

PMID29753233
PMCPMC6013646

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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.