Hormonal pleiotropy structures genetic covariance

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Covariance Structures for Quantitative Genetic Analyses

INTRODUCTION Covariance matrices in quantitative genetic analyses have, by and large, been considered ‘unstructured’, i.e. for q random variables, there are q(q + 1)/2 distinct covariance components. This implies that the number of parameters to be estimated increases quadratically with the number of variables. Multivariate analyses involving more than a few traits have been hampered by computa...

متن کامل

The genetic pleiotropy of musculoskeletal aging

Musculoskeletal aging is detrimental to multiple bodily functions and starts early, probably in the fourth decade of an individual's life. Sarcopenia is a health problem that is expected to only increase as a greater portion of the population lives longer; prevalence of the related musculoskeletal diseases is similarly expected to increase. Unraveling the biological and biomechanical associatio...

متن کامل

Statistical Methods for Testing Genetic Pleiotropy.

Genetic pleiotropy is when a single gene influences more than one trait. Detecting pleiotropy and understanding its causes can improve the biological understanding of a gene in multiple ways, yet current multivariate methods to evaluate pleiotropy test the null hypothesis that none of the traits are associated with a variant; departures from the null could be driven by just one associated trait...

متن کامل

PleioGRiP: genetic risk prediction with pleiotropy

MOTIVATION Although several studies have used Bayesian classifiers for risk prediction using genome-wide single nucleotide polymorphism (SNP) datasets, no software can efficiently perform these analyses on massive genetic datasets and can accommodate multiple traits. RESULTS We describe the program PleioGRiP that performs a genome-wide Bayesian model search to identify SNPs associated with a ...

متن کامل

Bootstrap Methods for Covariance Structures

The optimal minimum distance (OMD) estimator for models of covariance structures is asymptotically efficient but has much worse finite-sample properties than does the equally-weighted minimum distance (EWMD) estimator. This paper shows how the bootstrap can be used to improve the finite-sample performance of the OMD estimator. The theory underlying the bootstrap's ability to reduce the bias of ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Evolution Letters

سال: 2021

ISSN: 2056-3744,2056-3744

DOI: 10.1002/evl3.240