Literature DB >> 6472308

The load of genetic and partially genetic disorders in man. I. Congenital anomalies: estimates of detriment in terms of years of life lost and years of impaired life.

A Czeizel, K Sankaranarayanan.   

Abstract

This paper represents an attempt to estimate quantitatively, the detriment associated with spontaneously arising congenital anomalies in man. The system used in the International Classification of Diseases (Chapter XIV, entries 740-759) has been followed to classify the congenital anomalies. Detriment was assessed using estimates of the years of life lost, years of life potentially impaired and years of life actually impaired, as indicators. The data on birth prevalences for the various conditions were derived from several epidemiological surveys carried out in Hungary and from the Hungarian Congenital Malformation Registry. Most of the information on mortality profiles was obtained from the records of the Hungarian Central Statistical Office, Budapest. An overall comparison of the prevalence figures in Hungary with those for the U.S. (this study aimed at complete ascertainment) and for the Canadian province of British Columbia (in this study, ascertainment is believed to be incomplete) showed that, in Hungary, at least certain classes of congenital anomalies, particularly some of the less severe ones, have been under-ascertained. Since detriment estimates are heavily dependent on accurate estimates of birth prevalences, we believe that the estimates of detriment arrived at using the Hungarian data may also be underestimates. In Hungary, the total birth prevalence of all isolated major congenital anomalies is of the order of about 600/10(4). Our calculations show that these congenital anomalies may cause, per 10(4) livebirths, about 4800 years of life loss, about 37000 years of potentially impaired life and about 4500 years of actually impaired life. In these calculations, it has been assumed that the average life-expectancy at live birth for the general population is 70 years. These estimates are considerably higher than those made by Carter for detriment associated with spontaneously arising monogenic disorders.

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Year:  1984        PMID: 6472308     DOI: 10.1016/0027-5107(84)90049-6

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  9 in total

Review 1.  Risk calculations for hereditary effects of ionizing radiation in humans.

Authors:  F Vogel
Journal:  Hum Genet       Date:  1992-05       Impact factor: 4.132

Review 2.  Prevalence of genetic and partially genetic diseases in man and the estimation of genetic risks of exposure to ionizing radiation.

Authors:  K Sankaranarayanan
Journal:  Am J Hum Genet       Date:  1988-05       Impact factor: 11.025

3.  Genetic disorders in children and young adults: a population study.

Authors:  P A Baird; T W Anderson; H B Newcombe; R B Lowry
Journal:  Am J Hum Genet       Date:  1988-05       Impact factor: 11.025

4.  Hungarian surveillance of germinal mutations. Lack of detectable increase in indicator conditions caused by germinal mutations following the Chernobyl accident.

Authors:  A Czeizel
Journal:  Hum Genet       Date:  1989-07       Impact factor: 4.132

5.  Risk factors in the origin of congenital left-ventricular outflow-tract obstruction defects of the heart: a population-based case-control study.

Authors:  Melinda Csáky-Szunyogh; Attila Vereczkey; Zsolt Kósa; Balázs Gerencsér; Andrew E Czeizel
Journal:  Pediatr Cardiol       Date:  2013-07-11       Impact factor: 1.655

6.  NGS-based expanded carrier screening for genetic disorders in North Indian population reveals unexpected results - a pilot study.

Authors:  Kanika Singh; Sunita Bijarnia-Mahay; V L Ramprasad; Ratna Dua Puri; Sandhya Nair; Sheetal Sharda; Renu Saxena; Sudha Kohli; Samarth Kulshreshtha; Indrani Ganguli; Kanwal Gujral; Ishwar C Verma
Journal:  BMC Med Genet       Date:  2020-11-02       Impact factor: 2.103

7.  Historical overview of development in methods to estimate burden of disease due to congenital disorders.

Authors:  Bernadette Modell; Matthew W Darlison; Joy E Lawn
Journal:  J Community Genet       Date:  2018-09-12

8.  Methods to estimate access to care and the effect of interventions on the outcomes of congenital disorders.

Authors:  Hannah Blencowe; Sowmiya Moorthie; Matthew W Darlison; Stephen Gibbons; Bernadette Modell
Journal:  J Community Genet       Date:  2018-03-17

9.  An overview of concepts and approaches used in estimating the burden of congenital disorders globally.

Authors:  Sowmiya Moorthie; Hannah Blencowe; Matthew W Darlison; Joy E Lawn; Pierpaolo Mastroiacovo; Joan K Morris; Bernadette Modell
Journal:  J Community Genet       Date:  2017-10-11
  9 in total

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