Evidence map›Paper›PMID 35300209›Full record

ArticleHGG advances2022

AFA: Ancestry-specific allele frequency estimation in admixed populations: The Hispanic Community Health Study/Study of Latinos.

Einat Granot-Hershkovitz, Quan Sun, Maria Argos, Hufeng Zhou, Xihong Lin, Sharon R Browning, Tamar Sofer

Abstract read
In one paragraph

Article in HGG advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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.

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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

7 authors.

Einat Granot-HershkovitzDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA.
Quan SunDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Maria ArgosSchool of Public Health, The University of Illinois, Chicago, Chicago, IL 60612, USA.
Hufeng ZhouDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Xihong LinDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Sharon R BrowningDepartment of Biostatistics, University of Washington, Seattle, WA 98105, USA.
Tamar SoferDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA.

Funding

NHLBI Data Stage Coordinating CenterOT3HL147154 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ashok Kumar Krishnamurthy · 2018 to 2026
$98.9M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142481 · NHLBI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI GROSSMAN, ROBERT L., PATEN, BENEDICT · 2017 to 2020
$24.9M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142478 · NHLBI · SEVEN BRIDGES GENOMICS, INC. · PI DAVIS-DUSENBERY, BRANDI NICOLE · 2017 to 2022
$12.6M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142480 · NHLBI · HARVARD MEDICAL SCHOOL · PI AVILLACH, PAUL · 2017 to 2022
$8.8M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142479 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KRISHNAMURTHY, ASHOK KUMAR · 2017 to 2020
$6.1M
Rare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6M
Local ancestry inference for complex admixturesR01HG010869 · NHGRI · UNIVERSITY OF WASHINGTON · PI BROWNING, SHARON · 2020 to 2023
$1.8M
Using Genetic and Blood Metabolites to Understand the Risk of Alzheimer's Disease in LatinosR21AG070644 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI SOFER, TAMAR · 2021 to 2021
$492k
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
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NHGRI NIH HHS HHSN268201300003CNHGRI NIH HHS R01 HG010869NHLBI NIH HHS HHSN268201300003INHLBI NIH HHS HHSN268201300005CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS OT3 HL142478NHLBI NIH HHS OT3 HL142479NHLBI NIH HHS OT3 HL142480NHLBI NIH HHS OT3 HL142481NHLBI NIH HHS OT3 HL147154NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL120393NIA NIH HHS R21 AG070644
6 · The paper itself

Abstract

Allele frequency estimates in admixed populations, such as Hispanics and Latinos, rely on the sample's specific admixture composition and thus may differ between two seemingly similar populations. However, ancestry-specific allele frequencies, i.e., pertaining to the ancestral populations of an admixed group, may be particularly useful for prioritizing genetic variants for genetic discovery and personalized genomic health. We developed a method, ancestry-specific allele frequency estimation in admixed populations (AFA), to estimate the frequencies of biallelic variants in admixed populations with an unlimited number of ancestries. AFA uses maximum-likelihood estimation by modeling the conditional probability of having an allele given proportions of genetic ancestries. It can be applied using either local ancestry interval proportions encompassing the variant (local-ancestry-specific allele frequency estimations in admixed populations [LAFAs]) or global proportions of genetic ancestries (global-ancestry-specific allele frequency estimations in admixed populations [GAFAs]), which are easier to compute and are more widely available. Simulations and comparisons to existing software demonstrated the high accuracy of the method. We implemented AFA on high-quality imputed data of ∼9,000 Hispanics and Latinos from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), an understudied, admixed population with three predominant continental ancestries: Amerindian, European, and African. Comparison of the European and African estimated frequencies to the respective gnomAD frequencies demonstrated high correlations (Pearson R

Indexed as

Admixed populationAfricanAllele frequencyAmerindianEuropeangenetic epidemiologyglobal proportion ancestryHispanic/Latinoslocal proportion ancestrypopulation genetics

Identifiers

PMID35300209
PMCPMC8920934

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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.