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Using referral rates for genetic testing to determine the incidence of a rare disease: The minimal incidence of congenital hyperinsulinism in the UK is 1 in 28,389
by
Cheetham, Tim
, Yau, Daphne
, Senniappan, Senthil
, Randell, Tabitha
, Shah, Pratik
, Flanagan, Sarah E.
, Laver, Thomas W.
, Mushtaq, Talat
, Dastamani, Antonia
, Shaikh, Guftar
, Houghton, Jayne A. L.
, Ellard, Sian
, Banerjee, Indraneel
, Kapoor, Ritika R.
in
Age
/ Biology and Life Sciences
/ Births
/ Child, Preschool
/ Confidence intervals
/ Congenital diseases
/ Congenital Hyperinsulinism - diagnosis
/ Congenital Hyperinsulinism - epidemiology
/ Congenital Hyperinsulinism - genetics
/ Congenital Hyperinsulinism - surgery
/ Diseases
/ Endocrinology
/ Estimates
/ Female
/ Genetic disorders
/ Genetic screening
/ Genetic testing
/ Genetic Testing - statistics & numerical data
/ Genomics
/ Health care
/ Health planning
/ Hospitals
/ Humans
/ Hypoglycemia
/ Incidence
/ Infant
/ Infant, Newborn
/ Infants
/ Insulin
/ Live Birth - epidemiology
/ Male
/ Mathematical analysis
/ Medicine and Health Sciences
/ Mutation
/ Neonatal Screening - methods
/ Neonates
/ Newborn infants
/ Pancreatectomy - statistics & numerical data
/ People and places
/ Peptides
/ Practice Patterns, Physicians' - statistics & numerical data
/ Rare diseases
/ Rare Diseases - diagnosis
/ Rare Diseases - epidemiology
/ Rare Diseases - genetics
/ Referral and Consultation - statistics & numerical data
/ Research and Analysis Methods
/ Surgery
/ Testing laboratories
/ Time
/ United Kingdom - epidemiology
2020
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Using referral rates for genetic testing to determine the incidence of a rare disease: The minimal incidence of congenital hyperinsulinism in the UK is 1 in 28,389
by
Cheetham, Tim
, Yau, Daphne
, Senniappan, Senthil
, Randell, Tabitha
, Shah, Pratik
, Flanagan, Sarah E.
, Laver, Thomas W.
, Mushtaq, Talat
, Dastamani, Antonia
, Shaikh, Guftar
, Houghton, Jayne A. L.
, Ellard, Sian
, Banerjee, Indraneel
, Kapoor, Ritika R.
in
Age
/ Biology and Life Sciences
/ Births
/ Child, Preschool
/ Confidence intervals
/ Congenital diseases
/ Congenital Hyperinsulinism - diagnosis
/ Congenital Hyperinsulinism - epidemiology
/ Congenital Hyperinsulinism - genetics
/ Congenital Hyperinsulinism - surgery
/ Diseases
/ Endocrinology
/ Estimates
/ Female
/ Genetic disorders
/ Genetic screening
/ Genetic testing
/ Genetic Testing - statistics & numerical data
/ Genomics
/ Health care
/ Health planning
/ Hospitals
/ Humans
/ Hypoglycemia
/ Incidence
/ Infant
/ Infant, Newborn
/ Infants
/ Insulin
/ Live Birth - epidemiology
/ Male
/ Mathematical analysis
/ Medicine and Health Sciences
/ Mutation
/ Neonatal Screening - methods
/ Neonates
/ Newborn infants
/ Pancreatectomy - statistics & numerical data
/ People and places
/ Peptides
/ Practice Patterns, Physicians' - statistics & numerical data
/ Rare diseases
/ Rare Diseases - diagnosis
/ Rare Diseases - epidemiology
/ Rare Diseases - genetics
/ Referral and Consultation - statistics & numerical data
/ Research and Analysis Methods
/ Surgery
/ Testing laboratories
/ Time
/ United Kingdom - epidemiology
2020
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Using referral rates for genetic testing to determine the incidence of a rare disease: The minimal incidence of congenital hyperinsulinism in the UK is 1 in 28,389
by
Cheetham, Tim
, Yau, Daphne
, Senniappan, Senthil
, Randell, Tabitha
, Shah, Pratik
, Flanagan, Sarah E.
, Laver, Thomas W.
, Mushtaq, Talat
, Dastamani, Antonia
, Shaikh, Guftar
, Houghton, Jayne A. L.
, Ellard, Sian
, Banerjee, Indraneel
, Kapoor, Ritika R.
in
Age
/ Biology and Life Sciences
/ Births
/ Child, Preschool
/ Confidence intervals
/ Congenital diseases
/ Congenital Hyperinsulinism - diagnosis
/ Congenital Hyperinsulinism - epidemiology
/ Congenital Hyperinsulinism - genetics
/ Congenital Hyperinsulinism - surgery
/ Diseases
/ Endocrinology
/ Estimates
/ Female
/ Genetic disorders
/ Genetic screening
/ Genetic testing
/ Genetic Testing - statistics & numerical data
/ Genomics
/ Health care
/ Health planning
/ Hospitals
/ Humans
/ Hypoglycemia
/ Incidence
/ Infant
/ Infant, Newborn
/ Infants
/ Insulin
/ Live Birth - epidemiology
/ Male
/ Mathematical analysis
/ Medicine and Health Sciences
/ Mutation
/ Neonatal Screening - methods
/ Neonates
/ Newborn infants
/ Pancreatectomy - statistics & numerical data
/ People and places
/ Peptides
/ Practice Patterns, Physicians' - statistics & numerical data
/ Rare diseases
/ Rare Diseases - diagnosis
/ Rare Diseases - epidemiology
/ Rare Diseases - genetics
/ Referral and Consultation - statistics & numerical data
/ Research and Analysis Methods
/ Surgery
/ Testing laboratories
/ Time
/ United Kingdom - epidemiology
2020
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Using referral rates for genetic testing to determine the incidence of a rare disease: The minimal incidence of congenital hyperinsulinism in the UK is 1 in 28,389
Journal Article
Using referral rates for genetic testing to determine the incidence of a rare disease: The minimal incidence of congenital hyperinsulinism in the UK is 1 in 28,389
2020
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Overview
Congenital hyperinsulinism (CHI) is a significant cause of hypoglycaemia in neonates and infants with the potential for permanent neurologic injury. Accurate calculations of the incidence of rare diseases such as CHI are important as they inform health care planning and can aid interpretation of genetic testing results when assessing the frequency of variants in large-scale, unselected sequencing databases. Whilst minimal incidence rates have been calculated for four European countries, the incidence of CHI in the UK is not known. In this study we have used referral rates to a central laboratory for genetic testing and annual birth rates from census data to calculate the minimal incidence of CHI within the UK from 2007 to 2016. CHI was diagnosed in 278 individuals based on inappropriately detectable insulin and/or C-peptide measurements at the time of hypoglycaemia which persisted beyond 6 months of age. From these data, we have calculated a minimum incidence of 1 in 28,389 live births for CHI in the UK. This is comparable to estimates from other outbred populations and provides an accurate estimate that will aid both health care provision and interpretation of genetic results, which will help advance our understanding of CHI.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Births
/ Congenital Hyperinsulinism - diagnosis
/ Congenital Hyperinsulinism - epidemiology
/ Congenital Hyperinsulinism - genetics
/ Congenital Hyperinsulinism - surgery
/ Diseases
/ Female
/ Genetic Testing - statistics & numerical data
/ Genomics
/ Humans
/ Infant
/ Infants
/ Insulin
/ Male
/ Medicine and Health Sciences
/ Mutation
/ Neonatal Screening - methods
/ Neonates
/ Pancreatectomy - statistics & numerical data
/ Peptides
/ Practice Patterns, Physicians' - statistics & numerical data
/ Rare Diseases - epidemiology
/ Referral and Consultation - statistics & numerical data
/ Research and Analysis Methods
/ Surgery
/ Time
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