Evidence map›Paper›PMID 29604255›Full record

ReviewChest2018

Genetic Ancestry for Sleep Research: Leveraging Health Inequalities to Identify Causal Genetic Variants.

Bharati Prasad, Richa Saxena, Namni Goel, Sanjay R Patel

Abstract readReview
In one paragraph

Review in Chest, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Demographic characteristics associated with circadian rest-activity rhythm patterns: a cross-sectional study.The international journal of behavioral nutrition and physical activity · 2021
    Article
  5. Contextual and Parenting Factors Contribute to Shorter Sleep Among Hispanic/Latinx Compared to Non-Hispanic White Infants.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2021
    Article
  6. 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

4 authors.

Bharati PrasadDepartment of Medicine, University of Illinois at Chicago, and Jesse Brown VA Medical Center, Chicago, IL. Electronic address: bpradsad@uic.edu.
Richa SaxenaCenter for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA.
Namni GoelDivision of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Sanjay R PatelDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA.

Funding

Genetics of chronotype and impact on metabolic diseaseR01DK107859 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Richa Saxena · 2016 to 2026
$4.0M
Impact of Daytime vs. Delayed Eating Schedule on Weight and Metabolic Markers Among Obese Persons: An Examination of Circadian MechanismsR01DK117488 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI ALLISON, KELLY C, GOEL, NAMNI · 2017 to 2021
$3.8M
Impact of Malatonin, Food Timing and Receptor Variant on Type 2 Diabetes RiskR01DK105072 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI SAXENA, RICHA, SCHEER, FRANK A · 2016 to 2020
$3.2M
Mentored Patient Oriented Research in Sleep and Metabolic DiseaseK24HL127307 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PATEL, SANJAY R · 2015 to 2019
$582k
Targeted Treatment of Obstructive Sleep Apnea to Reduce Cardiovascular DisparityIK2CX001026 · VA · JESSE BROWN VA MEDICAL CENTER · PI PRASAD, BHARATI · 2014 to 2018
–
CSRD VA IK2 CX001026NHLBI NIH HHS K24 HL127307NIDDK NIH HHS R01 DK105072NIDDK NIH HHS R01 DK107859NIDDK NIH HHS R01 DK117488
6 · The paper itself

Abstract

Recent evidence has highlighted the health inequalities in sleep behaviors and sleep disorders that adversely affect outcomes in select populations, including African-American and Hispanic-American subjects. Race-related sleep health inequalities are ascribed to differences in multilevel and interlinked health determinants, such as sociodemographic factors, health behaviors, and biology. African-American and Hispanic-American subjects are admixed populations whose genetic inheritance combines two or more ancestral populations originating from different continents. Racial inequalities in admixed populations can be parsed into relevant groups of mediating factors (environmental vs genetic) with the use of measures of genetic ancestry, including the proportion of an individual's genetic makeup that comes from each of the major ancestral continental populations. This review describes sleep health inequalities in African-American and Hispanic-American subjects and considers the potential utility of ancestry studies to exploit these differences to gain insight into the genetic underpinnings of these phenotypes. The inclusion of genetic approaches in future studies of admixed populations will allow greater understanding of the potential biological basis of race-related sleep health inequalities.

Indexed as

EthnicityGenetics, PopulationHealth Status DisparitiesPolymorphism, Single NucleotideRacial GroupsGenomicsHumansMorbiditySleep Wake DisordersUnited Statesapneagenetic ancestryhealth inequalitiessleep

Identifiers

PMID29604255
PMCPMC5994200

What OpenQuestion holds

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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.