Editore: I.N.E.D.
Da: JLG_livres anciens et modernes, Saint Maur des Fossés, Francia
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Aggiungi al carrelloSoftcover. Condizione: Bon. Ancien livre de bibliothèque avec équipements. Edition 2001. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2001. Ammareal gives back up to 15% of this item's net price to charity organizations.
Lingua: Inglese
Editore: Princeton University Press, 2004
ISBN 10: 0691089922 ISBN 13: 9780691089928
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Princeton University Press, 2004
ISBN 10: 0691089922 ISBN 13: 9780691089928
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Princeton University Press, US, 2004
ISBN 10: 0691089922 ISBN 13: 9780691089928
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 93,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. In 1951, the geneticist Luigi Luca Cavalli-Sforza was teaching in Parma when a student--a priest named Antonio Moroni--told him about rich church records of demography and marriages between relatives. After convincing the Church to open its records, Cavalli-Sforza, Moroni, and Gianna Zei embarked on a landmark study that would last fifty years and cover all of Italy. This book assembles and analyzes the team's research for the first time. Using blood testing as well as church records, the team investigated the frequency of consanguineous marriages and its use for estimating inbreeding and studying the relations between inbreeding and drift. They tested the importance of random genetic drift by studying population structure through demography of the last three centuries, using it to predict the spatial variation of frequencies of genetic markers. The authors find that drift-related genetic variation, including its stabilization by migration, is best predicted by computer simulation. They also analyze the usefulness and limits of the concept of deme for defining Mendelian populations.The genetic effect of consanguineous marriage on recessive genetic diseases and for the detection of dominance in metric characters are also studied. Ultimately bringing together the many strands of their massive project, Cavalli-Sforza, Moroni, and Zei are able to map genetic drift in all of Italy's approximately 8,000 communes and to demonstrate the relationship between each locality's drift and various ecological and demographic factors. In terms of both methods and findings, their accomplishment is tremendously important for understanding human social structure and the genetic effects of drift and inbreeding.
Lingua: Inglese
Editore: Princeton University Press, 2004
ISBN 10: 0691089922 ISBN 13: 9780691089928
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 95,05
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Princeton University Press, 2004
ISBN 10: 0691089922 ISBN 13: 9780691089928
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 114,06
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Princeton University Press, US, 2004
ISBN 10: 0691089922 ISBN 13: 9780691089928
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 96,54
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. In 1951, the geneticist Luigi Luca Cavalli-Sforza was teaching in Parma when a student--a priest named Antonio Moroni--told him about rich church records of demography and marriages between relatives. After convincing the Church to open its records, Cavalli-Sforza, Moroni, and Gianna Zei embarked on a landmark study that would last fifty years and cover all of Italy. This book assembles and analyzes the team's research for the first time. Using blood testing as well as church records, the team investigated the frequency of consanguineous marriages and its use for estimating inbreeding and studying the relations between inbreeding and drift. They tested the importance of random genetic drift by studying population structure through demography of the last three centuries, using it to predict the spatial variation of frequencies of genetic markers. The authors find that drift-related genetic variation, including its stabilization by migration, is best predicted by computer simulation. They also analyze the usefulness and limits of the concept of deme for defining Mendelian populations.The genetic effect of consanguineous marriage on recessive genetic diseases and for the detection of dominance in metric characters are also studied. Ultimately bringing together the many strands of their massive project, Cavalli-Sforza, Moroni, and Zei are able to map genetic drift in all of Italy's approximately 8,000 communes and to demonstrate the relationship between each locality's drift and various ecological and demographic factors. In terms of both methods and findings, their accomplishment is tremendously important for understanding human social structure and the genetic effects of drift and inbreeding.
Da: Revaluation Books, Exeter, Regno Unito
EUR 136,32
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 320 pages. 8.25x5.25x1.00 inches. In Stock.
Lingua: Inglese
Editore: Princeton University Press, 2004
ISBN 10: 0691089922 ISBN 13: 9780691089928
Da: BennettBooksLtd, Los Angeles, CA, U.S.A.
paperback. Condizione: New. In shrink wrap. Looks like an interesting title!
Lingua: Inglese
Editore: Princeton University Press, 2004
ISBN 10: 0691089922 ISBN 13: 9780691089928
Da: moluna, Greven, Germania
EUR 74,65
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In 1951, the geneticist Luigi Luca Cavalli-Sforza was teaching in Parma when a student told him about rich church records of demography and marriages between relatives. After convincing the Church to open its records, Cavalli-Sforza, Moroni, and Gianna Zei .