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Polygenic Traits01:18

Polygenic Traits

66.5K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
66.5K
Multiple Allele Traits01:49

Multiple Allele Traits

34.8K
The Concept of Multiple Allelism
34.8K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
504
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

706
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
706
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

15.8K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
15.8K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.1K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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関連する実験動画

Updated: Sep 9, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

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混合意識のポリジェニックスコアのための効率的なラッソフレームワーク

Franklin Ockerman, Brian Chen, Quan Sun

    bioRxiv : the preprint server for biology
    |September 5, 2025
    PubMed
    まとめ
    この要約は機械生成です。

    HAUDIは遺伝子混合を効率的に処理することで,多様な集団のポリジェニックスコア (PGS) を改善します. この新しい方法は,パーソナライズド・メディカル・アプリケーションの既存のアプローチよりも,より高い正確性と速度を提供します.

    さらに関連する動画

    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

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    関連する実験動画

    Last Updated: Sep 9, 2025

    Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
    08:27

    Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

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    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
    05:53

    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
    07:35

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

    Published on: October 11, 2018

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    科学分野:

    • 遺伝学
    • バイオ情報学
    • コンピュータ生物学

    背景:

    • ポリジェニックスコア (PGS) はパーソナライズド医療に価値がありますが,訓練バイアスのために非ヨーロッパ人群ではしばしば不十分です.
    • 既存の集団間PGS方法は,最近混入した個体と闘い,その臨床的有用性を制限する.
    • GAUDIの方法は地元の祖先に対応していますが,計算が集中しており,二方向の添加に制限されています.

    研究 の 目的:

    • 混合集団における多遺伝子スコアを構築するための効率的なLASSOベースのフレームワークであるHAUDIを導入します.
    • GAUDIメソッドの計算効率と多方向混合物処理を改善する.
    • 多種多様な祖先の背景における多遺伝子スコアの一般化性と正確性を向上させる.

    主な方法:

    • GAUDIモデルを標準的な LASSO問題として計算効率化しました.
    • ハウディは多方向混合の設定に対応するために開発された.
    • 広範なシミュレーションと現実世界の臨床データを介してHAUDIを検証した.

    主要な成果:

    • HAUDIはシミュレーションでGAUDIに比べて優れた性能を示し,計算時間が大幅に短縮されました.
    • HAUDIは実際のデータ分析で18の臨床現象型でGAUDIを上回った.
    • HAUDIは,白血球数や慢性腎臓病などの特徴に対して,祖先無知 PGSよりも実質的な利点を提供しました.

    結論:

    • HAUDIは,混合集団における多遺伝子スコア構築のための効率的で効果的なソリューションを提供します.
    • この方法はPGSの移植性と精度を高め,パーソナライズされた医療を進歩させます.
    • HAUDIの性能と計算速度が向上し 多様な集団における遺伝的リスクの予測に 価値のあるツールとなっています