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A central part of population genomics consists of finding genomic regions implicated in local adaptation. Population genomic analyses are based on genotyping numerous molecular markers and looking for outlier loci in terms of patterns of…

种群与进化 · 定量生物学 2014-07-30 N. Duforet-Frebourg , E. Bazin , M. G. B. Blum

Comparing allele frequencies among populations that differ in environment has long been a tool for detecting loci involved in local adaptation. However, such analyses are complicated by an imperfect knowledge of population allele…

种群与进化 · 定量生物学 2012-09-17 Torsten Günther , Graham Coop

Adaptation to local environments often occurs through natural selection acting on a large number of loci, each having a weak phenotypic effect. One way to detect these loci is to identify genetic polymorphisms that exhibit high correlation…

种群与进化 · 定量生物学 2015-03-20 Eric Frichot , Sean Schoville , Guillaume Bouchard , Olivier François

To characterize natural selection, various analytical methods for detecting candidate genomic regions have been developed. We propose to perform genome-wide scans of natural selection using principal component analysis. We show that the…

种群与进化 · 定量生物学 2015-11-19 Nicolas Duforet-Frebourg , Keurcien Luu , Guillaume Laval , Eric Bazin , Michael G. B. Blum

Genomic regions (or loci) displaying outstanding correlation with some environmental variables are likely to be under selection and this is the rationale of recent methods of identifying selected loci and retrieving functional information…

种群与进化 · 定量生物学 2013-08-13 Gilles Guillot

We develop statistically based methods to detect single nucleotide DNA mutations in next generation sequencing data. Sequencing generates counts of the number of times each base was observed at hundreds of thousands to billions of genome…

应用统计 · 统计学 2012-10-01 Omkar Muralidharan , Georges Natsoulis , John Bell , Hanlee Ji , Nancy R. Zhang

A new approach to detect change points based on differential smoothing and multiple testing is presented for long data sequences modeled as piecewise constant functions plus stationary ergodic Gaussian noise. As an application of the STEM…

统计理论 · 数学 2019-11-20 Dan Cheng , Zhibing He , Armin Schwartzman

1. Abrupt environmental changes can lead to evolutionary shifts in trait evolution. Identifying these shifts is an important step in understanding the evolutionary history of phenotypes. 2. We propose an ensemble variable selection method…

种群与进化 · 定量生物学 2022-04-14 Wensha Zhang , Toby Kenney , Lam Si Tung Ho

The purpose of cancer genome sequencing studies is to determine the nature and types of alterations present in a typical cancer and to discover genes mutated at high frequencies. In this article we discuss statistical methods for the…

应用统计 · 统计学 2011-07-26 Lorenzo Trippa , Giovanni Parmigiani

Phylogenomics, even more so than traditional phylogenetics, needs to represent the uncertainty in evolutionary trees due to systematic error. Here we illustrate the analysis of genome-scale alignments of yeast, using robust measures of the…

种群与进化 · 定量生物学 2009-12-31 Peter J. Waddell , Ariful Azad

Detecting genomic footprints of selection is an important step in the understanding of evolution. Accounting for linkage disequilibrium in genome scans allows increasing the detection power, but haplotype-based methods require individual…

Research on the localization of the genetic basis associated with diseases or traits has been widely conducted in the last a few decades. Scan methods have been developed for region-based analysis in whole-genome association studies,…

统计方法学 · 统计学 2024-10-31 Wei Zhang , Fan Wang , Fang Yao

Polygenic risk scores can be used to model the individual genetic liability for human traits. Current methods primarily focus on modeling the mean of a phenotype neglecting the variance. However, genetic variants associated with phenotypic…

应用统计 · 统计学 2025-09-26 Qiong Wu , Hannah Klinkhammer , Kiran Kunwar , Christian Staerk , Carlo Maj , Andreas Mayr

In genetic association studies, detecting phenotype-genotype association is a primary goal. We assume that the relationship between the data -phenotype, genetic markers and environmental covariates - can be modelled by a generalized linear…

统计方法学 · 统计学 2020-04-13 K. K. Halle , Ø. Bakke , S. Djurovic , A. Bye , E. Ryeng , U. Wisløff , O. A. Andreassen , M. Langaas

The detection of local genomic signals using high-throughput DNA sequencing data can be cast as a problem of scanning a Poisson random field for local changes in the rate of the process. We propose a likelihood-based framework for for such…

应用统计 · 统计学 2014-06-13 Nancy R. Zhang , Benjamin Yakir , Charlie L. Xia , David Siegmund

We combine two important ideas in the analysis of large-scale genomics experiments (e.g. experiments that aim to identify genes that are differentially expressed between two conditions). The first is use of Empirical Bayes (EB) methods to…

统计方法学 · 统计学 2026-02-02 David Gerard , Matthew Stephens

The detection of similarities between long DNA and protein sequences is studied using concepts of statistical physics. It is shown that mutual similarities can be detected by sequence alignment methods only if their amount exceeds a…

凝聚态物理 · 物理学 2009-10-28 Terence Hwa , Michael Lassig

Secondary contact between divergent populations or incipient species may result in the exchange and introgression of genomic material. We develop a simple DNA sequence measure, called Gmin, which is designed to identify genomic regions…

种群与进化 · 定量生物学 2017-02-08 Anthony J. Geneva , Sarah B. Kingan , Daniel Garrigan

In this paper we introduce the phylogenetic scan test (PhyloScan) for investigating cross-group differences in microbiome compositions using the Dirichlet-tree multinomial (DTM) model. DTM models the microbiome data through a cascade of…

应用统计 · 统计学 2017-03-20 Yunfan Tang , Li Ma , Dan L. Niclolae

Adaptation in response to selection on polygenic phenotypes may occur via subtle allele frequencies shifts at many loci. Current population genomic techniques are not well posed to identify such signals. In the past decade, detailed…

种群与进化 · 定量生物学 2014-08-19 Jeremy J. Berg , Graham Coop
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