Evidence map›Paper›PMID 31932708›Full record

ArticleScientific reports2020

Local Ancestry Inference in Large Pedigrees.

Heming Wang, Tamar Sofer, Xiang Zhang, Robert C Elston, Susan Redline, Xiaofeng Zhu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

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

6 authors at 4 institutions in 1 country.

Heming WangDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. hwang@bwh.harvard.edu.ORCID http://orcid.org/0000-0002-1486-7495
Tamar SoferDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8520-8860
Xiang ZhangCollege of Information Sciences and Technology, Pennsylvania State University, University Park, PA, USA.
Robert C ElstonDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
Susan RedlineDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Xiaofeng ZhuDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
Broad Institute · USCase Western Reserve University · USBrigham and Women's Hospital · USPennsylvania State University · US

Funding

Phenotypic and Molecular Signatures for Sleep Apnea and Related MorbiditiesR35HL135818 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S. · 2017 to 2023
$7.2M
Leveraging Family Data to Identify Genetic Variants for Sleep ApneaR01HL113338 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LIN, XIHONG, REDLINE, SUSAN S. · 2012 to 2016
$4.4M
Statistical methods for analyzing high-throughput genotype dataR01HG003054 · NHGRI · LOYOLA UNIVERSITY CHICAGO · PI ZHU, XIAOFENG · 2005 to 2017
$3.6M
FAMILIAL AGGREGATION OF OBSTRUCTIVE SLEEP APNEAR01HL046380 · NHLBI · UNIVERSITY HOSPITALS OF CLEVELAND · PI REDLINE, SUSAN S · 1990 to 2005
$3.5M
Statistical Analysis of Large Genomic Data SetsR01HG011052 · NHGRI · CASE WESTERN RESERVE UNIVERSITY · PI XIAOFENG ZHU · 2020 to 2026
$3.3M
NHGRI NIH HHS R01 HG003054NHGRI NIH HHS R01 HG011052NHLBI NIH HHS R01 HL046380NHLBI NIH HHS R01 HL113338NHLBI NIH HHS R35 HL135818U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL113338U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL46380U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R35HL135818U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) R01HG003054
6 · The paper itself

Abstract

Local ancestry, defined as the genetic ancestry at a genomic location of an admixed individual, is widely used as a genetic marker in genetic association and evolutionary genetics studies. Many methods have been developed to infer the local ancestries in a set of unrelated individuals, a few of them have been extended to small nuclear families, but none can be applied to large (e.g. three-generation) pedigrees. In this study, we developed a method, FamANC, that can improve the accuracy of local ancestry inference in large pedigrees by: (1) using an existing algorithm to infer local ancestries for all individuals in a family, assuming (contrary to fact) they are unrelated, and (2) improving its accuracy by correcting inference errors using pedigree structure. Applied on African-American pedigrees from the Cleveland Family Study, FamANC was able to correct all identified Mendelian errors and most of double crossovers.

Indexed as

AlgorithmsGenetics, PopulationModels, GeneticModels, StatisticalPolymorphism, Single NucleotideComputer SimulationEthnicityGenotypeHaplotypesHumansPedigree

Identifiers

PMID31932708
PMCPMC6957497
OpenAlexW2999997724

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.