Evidence map›Paper›PMID 22495753›Full record

ArticleBioinformatics (Oxford, England)2012

Fast and accurate inference of local ancestry in Latino populations.

Yael Baran, Bogdan Pasaniuc, Sriram Sankararaman, Dara G Torgerson, Christopher Gignoux, Celeste Eng, William Rodriguez-Cintron, Rocio Chapela, Jean G Ford, Pedro C Avila and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 6 pooled it
14.3field-weighted citation impact, top 1% 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

171 citing papers in PubMed, 6 syntheses or guidelines pooled it, 264 citations in OpenAlex.

  1. Pooled it
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  7. Ancestry and genetic associations with bronchopulmonary dysplasia in preterm infants.American journal of physiology. Lung cellular and molecular physiology · 2018
    Trial
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  16. Recomb-Mix: fast and accurate local ancestry inference.Bioinformatics (Oxford, England) · 2025
    Article
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  19. Review
  20. Article

111 more citing papers are in PubMed but not listed here.

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

13 authors at 4 institutions in 3 countries.

Yael BaranThe Blavatnik School of Computer Science, Tel Aviv University, Tel-Aviv 69978, Israel.
Bogdan Pasaniuc
Sriram Sankararaman
Dara G Torgerson
Christopher Gignoux
Celeste Eng
William Rodriguez-Cintron
Rocio Chapela
Jean G Ford
Pedro C Avila
Jose Rodriguez-Santana
Esteban Gonzàlez Burchard
Eran Halperin
Harvard University · USTel Aviv University · ILInstituto Nacional de Enfermedades Respiratorias · MXBroad Institute · US

Funding

Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
NHGRI NIH HHS R01 HG006399
6 · The paper itself

Abstract

motivationIt is becoming increasingly evident that the analysis of genotype data from recently admixed populations is providing important insights into medical genetics and population history. Such analyses have been used to identify novel disease loci, to understand recombination rate variation and to detect recent selection events. The utility of such studies crucially depends on accurate and unbiased estimation of the ancestry at every genomic locus in recently admixed populations. Although various methods have been proposed and shown to be extremely accurate in two-way admixtures (e.g. African Americans), only a few approaches have been proposed and thoroughly benchmarked on multi-way admixtures (e.g. Latino populations of the Americas).

resultsTo address these challenges we introduce here methods for local ancestry inference which leverage the structure of linkage disequilibrium in the ancestral population (LAMP-LD), and incorporate the constraint of Mendelian segregation when inferring local ancestry in nuclear family trios (LAMP-HAP). Our algorithms uniquely combine hidden Markov models (HMMs) of haplotype diversity within a novel window-based framework to achieve superior accuracy as compared with published methods. Further, unlike previous methods, the structure of our HMM does not depend on the number of reference haplotypes but on a fixed constant, and it is thereby capable of utilizing large datasets while remaining highly efficient and robust to over-fitting. Through simulations and analysis of real data from 489 nuclear trio families from the mainland US, Puerto Rico and Mexico, we demonstrate that our methods achieve superior accuracy compared with published methods for local ancestry inference in Latinos.

Indexed as

AlgorithmsGenetics, PopulationGene FlowHaplotypesHispanic or LatinoHumansIndians, North AmericanLinkage DisequilibriumMarkov ChainsMexicoPuerto RicoUnited StatesWhite People

Identifiers

PMID22495753
PMCPMC3348558
OpenAlexW2135881136

What OpenQuestion holds

Textmetadata
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.