Chapter 7 overview

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Genome-wide association studies examine the whole genome for variations such as SNPs or copy number variants that can be linked to particular phenotypes

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Genome-wide association studies have been used to reveal genes that influence BMI. These may be useful in developing therapeutic approaches to weight control

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Heritability estimates the proportion of variation in a population for a multifactorial trait that is due to genotype.

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Human height in a population varies continuously in a bell shape distribution.

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In the future, medicine will increasingly rely on genomics to guide prescribing practices.

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Incidence refers to the number of new cases of a disease occurring during a given time, such as a year.

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Individual genes of a polygenic trait follow Mendel's laws, but together do not produce Mendelian ratios.

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Leptin, a protein hormone, stimulates the hypothalamus to suppress appetite and increases metabolic rate.

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Most traits are determined by multiple genes and environmental effects.

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Multifactorial traits are determined by interactions between a gene or genes and the environment, and do not exhibit Mendelian ratios.

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Multiple genes affecting height have been identified using genome wide association studies.

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Obesity is a growing problem in the United States. It is a risk factor for developing a number of diseases

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Polygenic traits are determined by more than one gene, with each gene providing a small, but additive effect.

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Polygenic traits usually produce a continuum of phenotypes.

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Prevalence indicates the total number of cases of the disease in a population at a specific time.

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Pure polygenic traits (i.e. no environmental influence) are rare.

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Replication studies in different, independent populations are used to validate the associations discovered by this approach

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Researchers are using genome-wide association studies in conjunction with gene expression data to gain new insight into diseases.

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Researchers use cohort, case-control and homozygosity mapping studies to compare 500,000 tag SNPs between healthy controls and affected individuals.

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SNP markers are then used to map potential disease causing genes

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Skin color does not effectively indicate a person's genetic ancestry, medical risks or response to medication.

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Studying multifactorial traits in humans is difficult since data must be pooled from many families.

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The coefficient of relatedness indicates the proportion of genes relatives share. It increases as more closely related individuals are compared.

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The concordance of a trait is the percentage of pairs in which both members express the trait.

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The phenotype of interest may be presence or absence of a trait, condition or disease

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The study of monozygotic (MZ) twins separated at birth offers some unique insights into the nature vs. nurture debate. This approach has limitations.

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Studies on the inhabitants of Naura, Pima Indians of Arizona and Mexico, and very low birth weight babies demonstrate the epigenetic role of environment in

controlling body weight.

Recent studies have also suggested that gut flora can influence the amount of calories

extracted from food.

Ghrelin, produced in the stomach, increases appetite.

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A bell shaped curve often describes the distribution of phenotypic classes of a polygenic trait.

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Analysis of multifactorial inheritance has widespread application in agriculture.

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Body weight, as measured by body mass index (BMI), is a multifactorial trait influenced by genetic and environmental factors.

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Dermatoglyphics is a technique that compares the fingerprint patterns that identify and distinguish individuals.

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Diet and health are strong environmental factors in expressing genetic potential for height.

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Differences in skin color arise from the quantity and distribution of the pigment melanin in the uppermost layers of skin cells.

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Empiric Risk is used to predict recurrence of a multifactorial trait in a family.

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Empiric risk increases with severity of the trait, number of affected relatives, sex of family members, and increasing relatedness to an affected individual.

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Empiric risk is not calculated, but is an observed population statistic.

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Exposure to sunlight is an environmental factor that can affect skin color.

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Fingerprint pattern is a multifactorial trait and environmental differences during gestation result in dermatoglyphic differences between identical twins.

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Genes controlling leptin, ghrelin and other related proteins exert a significant effect on body weight and are potential targets for therapeutic approaches to weight control

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Genetic heterogeneity, late onset of disease, incomplete penetrance and phenocopy all complicate association studies

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Genome-wide association studies are being used to identify potential weight-control genes

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Genome-wide association studies do not reveal cause and effect relationships

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This chapter provides information about the inheritance of polygenic traits such as fingerprint patterns, height, skin color, and disease susceptibilities. Most polygenic traits are also multifactorial traits since the resulting phenotypes are molded by an interaction between genes and environment. Unlike Mendelian traits, it is challenging to predict recurrence risks for multifactorial traits. Most risk estimates for multifactorial traits are based on family history and the occurrence of the trait in a population. The genetic contribution to a multifactorial trait is a measurement known as heritability. Genome-wide association studies are being used to examine the whole genome for variations such as SNPs or copy number variants that can be linked to particular phenotypes. Researchers use genome-wide association studies in conjunction with gene expression data to gain new insight into genetic risk factors. Genome-wide association studies also provide potential targets for therapeutic interventions.

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To assess the influence of heredity and the environment, traits of an adopted child can be compared with those of the adoptive and biological parents.

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Traits occurring more frequently in both identical (MZ) twins than in both fraternal (DZ) twins have a significant genetic component.

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Twin studies have been used to separate genetic and environmental contributions to a phenotype. Monozygotic twins may differ in copy number variants.

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Using tag SNPs reduces the total number of SNPS that must be analyzed

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