Genetic studies to identify genes underlying menopausal age.
نویسندگان
چکیده
Menopausal age is important as a retrospective marker for ovarian senescence, an early menopausal age is associated with an increased risk of cardiovascular diseases and osteoporosis, whereas a later menopausal age has been associated with an increased risk of breast cancer. The worldwide average for age at natural menopause is approximately 51 years and is more or less normally distributed with a range roughly between 40 and 60 years. Environmental factors explain only a small part of the variance and it has been proposed that genetic factors are the main source of variation. Menopausal age may be considered a continuous complex trait. Complex traits are defined as traits that are influenced by both multiple genetic and environmental factors. A category of complex traits comprises those that are measured on a continuous scale. The genomic loci that make up the genetic component are called 'quantitative trait loci' or QTLs. The first linkage study on menopausal age suggests that the involvement of the X-chromosome may not be limited to premature ovarian failure (POF), but may influence the broader spectrum of menopausal age. A potentially new locus for variation in menopausal age was allocated to chromosome 9. Further studies need to identify new candidate genes to help unravel the pathophysiology of menopausal age. It is becoming increasingly clear that, in any speciality, it should be acknowledged that genetic factors are involved in many traits and that uncovering these factors may provide insight into pathogenesis and ultimately advance prevention and treatment of disease. In this review we discuss methods and basic principles of gene finding for such traits, exemplified by menopausal age as phenotype. Furthermore, we give an overview of the state of the art of candidate gene studies and linkage studies.
منابع مشابه
Inm-7: Genetic Etiologies of Premature Ovarian Failure
Premature Ovarian Failure (POF) defined as functional stop of ovaries before the age of 40. It is a common cause of infertility in women that characterized by primary or secondary amenorrhea, high gonadotropin levels and estrogen level declining in patients. Factors that reduce follicle or defect in the follicle growth stimulating mechanism defined as numerous complication factors that they can...
متن کاملIdentification of Genetic Polymorphism Interactions in Sporadic Alzheimer’s Disease Using Logic Regression
Objectives: Genetic polymorphism interactions are among the important factors in affliction with complex diseases like Alzheimer’s disease. The important goal of genetic association studies is to identify a combination of polymorphisms and measure their importance in increasing the risk of occurrence of such diseases. In this study, feature selection approach of logic regression was used to ide...
متن کاملUnveiling the genetic loci for a panicle developmental trait using genome-wide association study in rice
Panicle size has a high correlation with grain yield in rice. There is a bottleneck to identify the additional quantitative trait loci (QTL) for panicle size due to the conventional traits used for QTL mapping. To identify more genetic loci for panicle size, a panicle developmental trait (LNTB, the length from panicle neck-knot to the first primary branch in the rachis) related to panicle size ...
متن کاملInvestigation of genetic factors associated with polycystic ovary syndrome
Introduction: Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders and causes 75% of infertility due to ovulation disorders in reproductive age. Women with PCOS have oligomenorrhea and hyperandrogenism that affect their quality of life and fertility at the same time. This syndrome has been one of the most controversial endocrine issues for many years. Research today su...
متن کاملGenome-wide Association Study to Identify Genes and Biological Pathways Associated with Type Traits in Cattle using Pathway Analysis
Extended Abstract Introduction and Objective: Type traits describing the skeletal characteristics of an animal are moderately to strongly genetically correlate with other economically important traits in cattle including fertility, longevity and carcass traits. The present study aimed to conduct a genome wide association studies (GWAS) based on gene-set enrichment analysis for identifying the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Human reproduction update
دوره 11 5 شماره
صفحات -
تاریخ انتشار 2005