All individuals with variants in gene ACADM

Legend

Please note that a short description of a certain column can be displayed when you move your mouse cursor over the column's header and hold it still. Below, a more detailed description is shown per column.

ID_report: ID of the individual that can be publically shared, e.g. as listed in a publication

Reference: reference to publication describing the individual/family, possibly giving more phenotypic details than listed in this database entry, incl. link to PubMed or other source, e.g. "den Dunnen ASHG2003 P2346"

Remarks: remarks about the individual

Gender: gender individual
All options:

? = unknown
- = not applicable
F = female
M = male
rF = raised as female
rM = raised as male

Consanguinity: indicates whether the parents are related (consanguineous), not related (non-consanguineous) or whether consanguinity is not known (unknown)
All options:

no = non-consanguineous parents
yes = consanguineous parents
likely = consanguinity likely
? = unknown
- = not applicable

Country: where (country) does the individual live/recently came from. Give additional details (population, specific sub-group) and when parents come from different countries in "Population". Belgium = individual lives in/recently came from Belgium, (France) = reported by laboratory in France, individual's country of origin not sure
All options:

? (unknown)
- (not applicable)
Afghanistan
(Afghanistan)
Albania
(Albania)
Algeria
(Algeria)
American Samoa
(American Samoa)
Andorra
(Andorra)
Angola
(Angola)
Anguilla
(Anguilla)
Antarctica
(Antarctica)
Antigua and Barbuda
(Antigua and Barbuda)
Argentina
(Argentina)
Armenia
(Armenia)
Aruba
(Aruba)
Australia
(Australia)
Austria
(Austria)
Azerbaijan
(Azerbaijan)
Bahamas
(Bahamas)
Bahrain
(Bahrain)
Bangladesh
(Bangladesh)
Barbados
(Barbados)
Belarus
(Belarus)
Belgium
(Belgium)
Belize
(Belize)
Benin
(Benin)
Bermuda
(Bermuda)
Bhutan
(Bhutan)
Bolivia
(Bolivia)
Bosnia and Herzegovina
(Bosnia and Herzegovina)
Botswana
(Botswana)
Bouvet Island
(Bouvet Island)
Brazil
(Brazil)
British Indian Ocean Territory
(British Indian Ocean Territory)
Brunei Darussalam
(Brunei Darussalam)
Bulgaria
(Bulgaria)
Burkina Faso
(Burkina Faso)
Burundi
(Burundi)
Cambodia
(Cambodia)
Cameroon
(Cameroon)
Canada
(Canada)
Cape Verde
(Cape Verde)
Cayman Islands
(Cayman Islands)
Central African Republic
(Central African Republic)
Central Europe
Chad
(Chad)
Chile
(Chile)
China
(China)
Christmas Island
(Christmas Island)
Cocos (Keeling Islands)
(Cocos (Keeling Islands))
Colombia
(Colombia)
Comoros
(Comoros)
Congo
(Congo)
Cook Islands
(Cook Islands)
Costa Rica
(Costa Rica)
Cote D'Ivoire (Ivory Coast)
(Cote D'Ivoire (Ivory Coast))
Croatia (Hrvatska)
(Croatia (Hrvatska))
Cuba
(Cuba)
Cyprus
(Cyprus)
Czech Republic
(Czech Republic)
Denmark
(Denmark)
Djibouti
(Djibouti)
Dominica
(Dominica)
Dominican Republic
(Dominican Republic)
East Timor
(East Timor)
Ecuador
(Ecuador)
Egypt
(Egypt)
El Salvador
(El Salvador)
England
(England)
Equatorial Guinea
(Equatorial Guinea)
Eritrea
(Eritrea)
Estonia
(Estonia)
Ethiopia
(Ethiopia)
Falkland Islands (Malvinas)
(Falkland Islands (Malvinas))
Faroe Islands
(Faroe Islands)
Fiji
(Fiji)
Finland
(Finland)
France
(France)
Gabon
(Gabon)
Gambia
(Gambia)
Georgia
(Georgia)
Germany
(Germany)
Ghana
(Ghana)
Gibraltar
(Gibraltar)
Greece
(Greece)
Greenland
(Greenland)
Grenada
(Grenada)
Guadeloupe
(Guadeloupe)
Guam
(Guam)
Guatemala
(Guatemala)
Guiana, French
(Guiana, French)
Guinea
(Guinea)
Guinea-Bissau
(Guinea-Bissau)
Guyana
(Guyana)
Haiti
(Haiti)
Heard and McDonald Islands
(Heard and McDonald Islands)
Honduras
(Honduras)
Hong Kong
(Hong Kong)
Hungary
(Hungary)
Iceland
(Iceland)
India
(India)
Indonesia
(Indonesia)
Iran
(Iran)
Iraq
(Iraq)
Ireland
(Ireland)
Israel
(Israel)
Italy
(Italy)
Jamaica
(Jamaica)
Japan
(Japan)
Jordan
(Jordan)
Kazakhstan
(Kazakhstan)
Kenya
(Kenya)
Kiribati
(Kiribati)
Korea
(Korea)
Korea, North (People's Republic)
(Korea, North (People's Republic))
Korea, South (Republic)
(Korea, South (Republic))
Kosovo
(Kosovo)
Kuwait
(Kuwait)
Kyrgyzstan (Kyrgyz Republic)
(Kyrgyzstan (Kyrgyz Republic))
Laos
(Laos)
Latvia
(Latvia)
Lebanon
(Lebanon)
Lesotho
(Lesotho)
Liberia
(Liberia)
Libya
(Libya)
Liechtenstein
(Liechtenstein)
Lithuania
(Lithuania)
Luxembourg
(Luxembourg)
Macau
(Macau)
Macedonia
(Macedonia)
Madagascar
(Madagascar)
Malawi
(Malawi)
Malaysia
(Malaysia)
Maldives
(Maldives)
Mali
(Mali)
Mallorca
(Mallorca)
Malta
(Malta)
Marshall Islands
(Marshall Islands)
Martinique
(Martinique)
Mauritania
(Mauritania)
Mauritius
(Mauritius)
Mayotte
(Mayotte)
Mexico
(Mexico)
Micronesia
(Micronesia)
Moldova
(Moldova)
Monaco
(Monaco)
Mongolia
(Mongolia)
Montserrat
(Montserrat)
Morocco
(Morocco)
Mozambique
(Mozambique)
Myanmar
(Myanmar)
Namibia
(Namibia)
Nauru
(Nauru)
Nepal
(Nepal)
Netherlands
(Netherlands)
Netherlands Antilles
(Netherlands Antilles)
Neutral Zone (Saudia Arabia/Iraq)
(Neutral Zone (Saudia Arabia/Iraq))
New Caledonia
(New Caledonia)
New Zealand
(New Zealand)
Nicaragua
(Nicaragua)
Niger
(Niger)
Nigeria
(Nigeria)
Niue
(Niue)
Norfolk Island
(Norfolk Island)
Northern Ireland
(Northern Ireland)
Northern Mariana Islands
(Northern Mariana Islands)
Norway
(Norway)
Oman
(Oman)
Pakistan
(Pakistan)
Palau
(Palau)
Palestine
(Palestine)
Panama
(Panama)
Papua New Guinea
(Papua New Guinea)
Paraguay
(Paraguay)
Peru
(Peru)
Philippines
(Philippines)
Pitcairn
(Pitcairn)
Poland
(Poland)
Polynesia, French
(Polynesia, French)
Portugal
(Portugal)
Puerto Rico
(Puerto Rico)
Qatar
(Qatar)
Reunion
(Reunion)
Romania
(Romania)
Russia
(Russia)
Russian Federation
(Russian Federation)
Rwanda
(Rwanda)
S. Georgia and S. Sandwich Isls.
(S. Georgia and S. Sandwich Isls.)
Saint Kitts and Nevis
(Saint Kitts and Nevis)
Saint Lucia
(Saint Lucia)
Saint Vincent and The Grenadines
(Saint Vincent and The Grenadines)
Samoa
(Samoa)
San Marino
(San Marino)
Sao Tome and Principe
(Sao Tome and Principe)
Saudi Arabia
(Saudi Arabia)
Scotland
(Scotland)
Senegal
(Senegal)
Serbia
(Serbia)
Seychelles
(Seychelles)
Sierra Leone
(Sierra Leone)
Singapore
(Singapore)
Slovakia (Slovak Republic)
(Slovakia (Slovak Republic))
Slovenia
(Slovenia)
Solomon Islands
(Solomon Islands)
Somalia
(Somalia)
South Africa
(South Africa)
Southern Territories, French
(Southern Territories, French)
Soviet Union (former)
(Soviet Union (former))
Spain
(Spain)
Sri Lanka
(Sri Lanka)
St. Helena, Ascension and Tristan da
Cunha
(St. Helena, Ascension and Tristan da
Cunha)
St. Pierre and Miquelon
(St. Pierre and Miquelon)
Sudan
(Sudan)
Sudan, South
(Sudan, South)
Suriname
(Suriname)
Svalbard and Jan Mayen Islands
(Svalbard and Jan Mayen Islands)
Swaziland
(Swaziland)
Sweden
(Sweden)
Switzerland
(Switzerland)
Syria
(Syria)
Taiwan
(Taiwan)
Tajikistan
(Tajikistan)
Tanzania
(Tanzania)
Thailand
(Thailand)
Togo
(Togo)
Tokelau
(Tokelau)
Tonga
(Tonga)
Trinidad and Tobago
(Trinidad and Tobago)
Tunisia
(Tunisia)
Turkey
(Turkey)
Turkmenistan
(Turkmenistan)
Turks and Caicos Islands
(Turks and Caicos Islands)
Tuvalu
(Tuvalu)
Uganda
(Uganda)
Ukraine
(Ukraine)
United Arab Emirates
(United Arab Emirates)
United Kingdom (Great Britain)
(United Kingdom (Great Britain))
United States
(United States)
Uruguay
(Uruguay)
US Minor Outlying Islands
(US Minor Outlying Islands)
Uzbekistan
(Uzbekistan)
Vanuatu
(Vanuatu)
Vatican City State (Holy See)
(Vatican City State (Holy See))
Venezuela
(Venezuela)
Viet Nam
(Viet Nam)
Virgin Islands (British)
(Virgin Islands (British))
Virgin Islands (US)
(Virgin Islands (US))
Wales
(Wales)
Wallis and Futuna Islands
(Wallis and Futuna Islands)
Western Sahara
(Western Sahara)
Yemen
(Yemen)
Yugoslavia
(Yugoslavia)
Zaire
(Zaire)
Zambia
(Zambia)
Zimbabwe
(Zimbabwe)

Population: population the individual (or ancestors) belongs to; e.g. white, gypsy, Jewish-Ashkenazi, Africa-N, Sardinia, etc.

Age at death: age at which the individual deceased (when applicable):

35y = 35 years
>43y = still alive at 43y
04y08m = 4 years and 8 months
00y00m01d12h = 1 day and 12 hours
18y? = around 18 years
30y-40y = between 30 and 40 years
>54y = older than 54
? = unknown

VIP: individual/phenotype VIP-status was requested for matchmaking - need collaboration(s) to crack the case - please contact the submitter/curator. NOTE: to get VIP status ask the curator.

Data_av: are additional data available upon request: e.g. pedigree (yes/no/?)

Treatment: treatment of patient

Variants in genes: The individual has variants for this gene.

Panel size: Number of individuals this entry represents; e.g. 1 for an individual, 5 for a family with 5 affected members.

How to query this table

All list views have search fields which can be used to search data. You can search for a complete word or you can search for a part of a search term. If you enclose two or more words in double quotes, LOVD will search for the combination of those words only exactly in the order you specify. Note that search terms are case-insensitive and that wildcards such as * are treated as normal text! For all options, like "and", "or", and "not" searches, or searching for prefixes or suffixes, see the table below.

Operator	Column type	Example	Matches
	Text	Arg	all entries containing 'Arg'
space	Text	Arg Ser	all entries containing 'Arg' and 'Ser'
\|	Text	Arg\|Ser	all entries containing 'Arg' or 'Ser'
!	Text	!fs	all entries not containing 'fs'
^	Text	^p.(Arg	all entries beginning with 'p.(Arg'
$	Text	Ser)$	all entries ending with 'Ser)'
=""	Text	=""	all entries with this field empty
=""	Text	="p.0"	all entries exactly matching 'p.0'
!=""	Text	!=""	all entries with this field not empty
!=""	Text	!="p.0"	all entries not exactly matching 'p.0?'
combination	Text	*\|Ter !fs	all entries containing '*' or 'Ter' but not containing 'fs'
	Date	2020	all entries matching the year 2020
\|	Date	2020-03\|2020-04	all entries matching March or April, 2020
!	Date	!2020-03	all entries not matching March, 2020
<	Date	<2020	all entries before the year 2020
<=	Date	<=2020-06	all entries in or before June, 2020
>	Date	>2020-06	all entries after June, 2020
>=	Date	>=2020-06-15	all entries on or after June 15th, 2020
combination	Date	2019\|2020 <2020-03	all entries in 2019 or 2020, and before March, 2020
	Numeric	23	all entries exactly matching 23
\|	Numeric	23\|24	all entries exactly matching 23 or 24
!	Numeric	!23	all entries not exactly matching 23
<	Numeric	<23	all entries lower than 23
<=	Numeric	<=23	all entries lower than, or equal to, 23
>	Numeric	>23	all entries higher than 23
>=	Numeric	>=23	all entries higher than, or equal to, 23
combination	Numeric	>=20 <30 !23	all entries with values from 20 to 29, but not equal to 23

Some more advanced examples:

Example	Matches
Asian	all entries containing 'Asian', 'asian', including 'Caucasian', 'caucasian', etc.
Asian !Caucasian	all entries containing 'Asian' but not containing 'Caucasian'
Asian\|African !Caucasian	all entries containing 'Asian' or 'African', but not containing 'Caucasian'
"South Asian"	all entries containing 'South Asian', but not containing 'South East Asian'

To sort on a certain column, click on the column header or on the arrows. If that column is already selected to sort on, the sort order will be swapped. The column currently sorted on has a darker blue background color than the other columns. The up and down arrows next to the column name indicate the current sorting direction. When sorting on any field other than the default, LOVD will sort secondarily on the default sort column.

81 entries on 1 page. Showing entries 1 - 81.

Legend

How to query

Individual ID	ID_report	Reference	Remarks	Gender	Consanguinity	Country	Population	Age at death	VIP	Data_av	Treatment	Disease	Phenotype details	Variants	Panel size	Owner
00000005	-	PubMed: Bell 2011	-	-	-	-	-	-	-	-	-	-	-	1	1	Global Variome, with Curator vacancy
00000006	-	PubMed: Bell 2011	-	-	-	-	-	-	-	-	-	-	-	1	1	Global Variome, with Curator vacancy
00000007	-	PubMed: Bell 2011	-	-	-	-	-	-	-	-	-	-	-	1	1	Global Variome, with Curator vacancy
00000008	-	PubMed: Bell 2011	-	-	-	-	-	-	-	-	-	-	-	1	1	Global Variome, with Curator vacancy
00000009	-	PubMed: Bell 2011	-	-	-	-	-	-	-	-	-	-	-	1	1	Global Variome, with Curator vacancy
00000010	-	PubMed: Bell 2011	-	-	-	-	-	-	-	-	-	-	-	1	1	Global Variome, with Curator vacancy
00181009	-	-	-	-	-	-	-	-	-	-	-	ACADMD	-	2	1	Belen Perez
00181010	-	-	-	-	-	-	-	-	-	-	-	ACADMD	-	2	1	Belen Perez
00181059	-	-	-	-	-	-	-	-	-	-	-	ACADMD	-	1	1	Belen Perez
00181061	-	-	-	-	-	-	-	-	-	-	-	ACADMD	-	1	1	Belen Perez
00181062	-	-	-	-	-	-	-	-	-	-	-	ACADMD	-	1	1	Belen Perez
00289917	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	2	Mohammed Faruq
00289918	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	1	Mohammed Faruq
00289919	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	31	Mohammed Faruq
00289920	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	5	Mohammed Faruq
00295114	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	2	Mohammed Faruq
00309845	M001	PubMed: Roman 2020, Journal: Roman 2020	new-born screening	-	-	United States	-	-	-	-	-	ACADMD	see paper; ...	2	1	Johan den Dunnen
00309850	M006	PubMed: Roman 2020, Journal: Roman 2020	new-born screening	-	-	United States	-	-	-	-	-	ACADMD	see paper; ...	1	1	Johan den Dunnen
00309852	M008	PubMed: Roman 2020, Journal: Roman 2020	new-born screening	-	-	United States	-	-	-	-	-	ACADMD	see paper; ...	1	1	Johan den Dunnen
00309856	M012	PubMed: Roman 2020, Journal: Roman 2020	new-born screening	-	-	United States	-	-	-	-	-	ACADMD	see paper; ...	1	1	Johan den Dunnen
00309857	M013	PubMed: Roman 2020, Journal: Roman 2020	new-born screening	-	-	United States	-	-	-	-	-	ACADMD	see paper; ...	1	1	Johan den Dunnen
00309860	M016	PubMed: Roman 2020, Journal: Roman 2020	new-born screening	-	-	United States	-	-	-	-	-	ACADMD	see paper; ...	1	1	Johan den Dunnen
00309861	M017	PubMed: Roman 2020, Journal: Roman 2020	new-born screening	-	-	United States	-	-	-	-	-	ACADMD	see paper; ...	2	1	Johan den Dunnen
00335784	MCADD_P1	-	-	M	no	China	Chinese	-	-	-	-	ACADMD	convulsion coma	2	1	Wenjuan Qiu
00335785	ACADM-P2	-	-	F	-	China	-	-	-	-	-	ACADMD	diarrhea vomiting convulsion	2	1	Wenjuan Qiu
00335786	ACADM-P3	-	-	M	-	China	-	-	-	-	-	ACADMD	lethargy, hypoglycemia	1	1	Wenjuan Qiu
00335787	ACADM-P4	-	-	M	-	China	-	-	-	-	-	ACADMD	Vomiting diarrhea convulsion	2	1	Wenjuan Qiu
00335788	ACADM-P5	-	-	M	-	China	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00335789	ACADM-P6	-	-	F	-	China	-	-	-	-	-	ACADMD	fever, lethargy hypoglycemia	1	1	Wenjuan Qiu
00335790	ACADM-N1	-	-	-	-	China	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00335791	ACADM-N2	-	-	-	-	China	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00335792	ACADM-N3	-	-	M	-	China	-	-	-	-	-	ACADMD	-	1	1	Wenjuan Qiu
00335793	ACADM-N4	-	-	F	-	China	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00335794	ACADM-N5	-	-	-	-	-	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00335796	ACADM-N7	-	-	M	-	China	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00335798	ACADM-N8	-	-	F	-	-	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00335799	ACADM-N10	-	-	F	-	China	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00335800	ACADM-N11	-	-	F	-	China	-	-	-	-	-	ACADMD	-	1	1	Wenjuan Qiu
00335801	ACADM-N12	-	-	M	-	China	-	-	-	-	-	ACADMD	-	1	1	Wenjuan Qiu
00335802	ACADM-N13	-	-	M	-	China	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00335803	ACADM-N14	-	-	F	-	China	-	-	-	-	-	ACADMD	-	1	1	Wenjuan Qiu
00335804	ACADM-N15	-	-	M	-	China	-	-	-	-	-	ACADMD	-	1	1	Wenjuan Qiu
00335805	ACADM-N16	-	-	-	-	-	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00335806	ACADM-N17	-	-	F	-	China	-	-	-	-	-	ACADMD	-	1	1	Wenjuan Qiu
00335807	ACADM-N18	-	-	-	-	-	-	-	-	-	-	ACADMD	-	2	1	Wenjuan Qiu
00414704	NA01210	PubMed: Bell 2011	-	?	-	-	-	-	-	-	-	retinal disease	-	1	1	LOVD
00414706	NA03575	PubMed: Bell 2011	-	?	-	-	-	-	-	-	-	retinal disease	-	1	1	LOVD
00451464	3bINP-044	PubMed: Vela-Amieva 2024	Parents with consanguinity and consanguinity (not molecularly tested)	F	yes	Mexico	Mexican	-	-	-	-	ACADMD	-	2	1	Miriam Erandi Reyna-Fabián
00451598	3bINP-052	PubMed: Vela-Amieva 2024	-	F	no	Mexico	Mexican	-	-	-	-	ACADSD	Blue sclerae	1	1	Miriam Erandi Reyna-Fabián
00452234	-	PubMed: Wang 2019	screening 401,660 newborns for inborn errors of metabolism	-	-	China	-	-	-	-	-	?	-	1	2	Johan den Dunnen
00452235	-	PubMed: Wang 2019	screening 401,660 newborns for inborn errors of metabolism	-	-	China	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00452236	-	PubMed: Wang 2019	screening 401,660 newborns for inborn errors of metabolism	-	-	China	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00452237	-	PubMed: Wang 2019	screening 401,660 newborns for inborn errors of metabolism	-	-	China	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00452238	-	PubMed: Wang 2019	screening 401,660 newborns for inborn errors of metabolism	-	-	China	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00452239	-	PubMed: Wang 2019	screening 401,660 newborns for inborn errors of metabolism	-	-	China	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00452240	-	PubMed: Wang 2019	screening 401,660 newborns for inborn errors of metabolism	-	-	China	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00452241	-	PubMed: Wang 2019	screening 401,660 newborns for inborn errors of metabolism	-	-	China	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00453589	Pat5	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	2	1	Johan den Dunnen
00453590	Pat6	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453591	Pat7	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453592	Pat8	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453593	Pat9	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	2	1	Johan den Dunnen
00453594	Pat10	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	2	1	Johan den Dunnen
00453595	Pat11	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	2	1	Johan den Dunnen
00453596	Pat12	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	2	1	Johan den Dunnen
00453668	Pat84	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453671	Pat87	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453672	Pat88	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453673	Pat89	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453674	Pat90	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453675	Pat91	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453676	Pat92	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453677	Pat93	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453678	Pat94	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453679	Pat95	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00453680	Pat96	PubMed: Navarrete 2019	newborn screening	-	-	Spain	-	-	-	-	-	metabolic syndrome	see paper; ..., newborn screening tandem mass spectrometry dried blood spots	1	1	Johan den Dunnen
00457563	Pat6	PubMed: Kang 2018	-	-	-	Korea	-	-	-	-	-	?	newborn screening; asymptomatic	2	1	Johan den Dunnen
00457564	Pat7	PubMed: Kang 2018	-	-	-	Korea	-	-	-	-	-	?	newborn screening; asymptomatic	2	1	Johan den Dunnen
00457565	Pat8	PubMed: Kang 2018	-	-	-	Korea	-	-	-	-	-	?	newborn screening; asymptomatic	2	1	Johan den Dunnen
00457566	Pat9	PubMed: Kang 2018	-	-	-	Korea	-	-	-	-	-	?	newborn screening; asymptomatic	2	1	Johan den Dunnen
00457567	Pat10	PubMed: Kang 2018	-	-	-	Korea	-	-	-	-	-	?	newborn screening; asymptomatic	1	1	Johan den Dunnen

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