Animal Traits Correlation Database (CorrDB)

Release 17
(Dec 28, 2022)

Animal Trait Correlation Database

Genetic and phenotypic trait correlation studies have been conducted for decades since Hazel proposed the methods in 1943 ^[1]. A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies.

As of the current Release, a total of 26,240 correlation data on 794 traits, and 4,403 heritability data on 893 traits, in 6 livestock animal species have been curated from 477 publications.

Cattle

Chicken

Goat

Correlations: genetic
Correlations: phenotypic
Correlations: envrionmental
Trait heritabilities

Horse

Pig

Sheep

Release 17: curated data
Species	Correlations		Heritability
Species	Count	Traits	Count	Traits
Cattle	13,272	351	2,256	400
Chicken	1,835	80	377	106
Goat	311	32	5	2
Horse	209	27	123	53
Pig	8,633	232	1,394	241
Sheep	1,980	72	248	91
Sum	26,240	794	4,403	893

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Correlation by unique trait pairs counted by species and correlation types
	Cattle	Chicken	Goat	Horse	Pig	Sheep	SUM
Environment	244 (502)	55 (55)		1 (2)	14 (166)	12 (82)	326 (807)
Genetic	3,114 (6,832)	375 (843)		76 (106)	1,851 (5,183)	562 (1,015)	5,978 (13,979)
Phenotypic	3,388 (5,696)	382 (937)	308 (311)	60 (86)	1,767 (3,371)	554 (993)	6,459 (11,394)
Residual	328 (441)			12 (15)	82 (182)	10 (21)	432 (659)
SUM	7,074 (13,471)	812 (1,835)	308 (311)	149 (209)	3,714 (8,902)	1,138 (2,111)	13,195 (26,839)
Note: Bold numbers represent counts of correlation trait pairs; In parenthesis are counts of multiple correlations reported.

Heritability data reported by species

# Reports	Cattle Traits
64	Milk yield
56	Milk fat yield
55	Milk protein yield
49	Somatic cell score
46	Body weight
45	Average daily gain
38	Milk protein percentage
37	Milk fat percentage
34	Marbling score
34	Carcass weight
33	Longissimus muscle area
23	Dry matter intake
22	Residual feed intake
21	Interval to first estrus after calving
19	Clinical mastitis
18	Fat thickness at the 12th rib
17	Calving to conception interval
17	Subcutaneous fat thickness
17	Calving interval
16	Metabolic body weight
15	Udder cleft
14	Sperm motility
14	Udder attachment
14	Hip height
14	Interval from first to last insemination
14	Udder depth
13	Milk lactose content
13	Milk palmitic acid content
13	Milk myristic acid content
13	Milk oleic acid content
13	Milk stearic acid content
12	Milk capric acid content
12	Milk lauric acid content
12	Shear force
12	Milk saturated fatty acid content
12	Age at first calving
12	Milk lactose yield
12	Milk caprylic acid content
12	Stature
12	Ketosis
12	Dressing percentage
12	Udder height
12	Gestation length
11	Muscularity
11	Milk unsaturated fatty acid content
11	M. paratuberculosis susceptibility
11	Feet and leg conformation
11	Dairy form
11	Semen volume
11	Kidney, pelvic, and heart fat percentage
11	Yield grade
11	Inseminations per conception
11	Non-return rate
10	305-day milk yield
10	Teat placement - front
10	Intramuscular fat
10	Body depth

# Reports	Chicken Traits
32	Body weight
29	Egg weight
27	Egg number
14	Eggshell strength
11	Abdominal fat weight
9	Abdominal fat percentage
9	Eggshell thickness
8	Age at first egg
7	Albumen height
7	Eggshell shape
7	Feed conversion ratio
7	Feed intake
6	Residual feed intake
6	Liver weight
6	Average daily gain
6	Eggshell color
5	Breast muscle weight
5	Breast muscle percentage
4	Shank length
4	Gizzard weight
4	Blood bile acid level
4	Comb height
4	Triglyceride level
4	Haugh units
4	Blood albumin to globulin ratio
4	Blood globulin level
4	Blood uric acid level
4	Eggshell stiffness
4	Heart weight
3	Blood alanine transaminase level
3	HDL cholesterol level
3	Wooden breast
3	Blood aspartate transaminase level
3	HDL/LDL ratio
3	Shank circumference
3	Cholesterol level
3	LDL cholesterol level
3	Blood total protein level
3	Carcass weight
3	Liver percentage
3	Blood creatinine level
3	Blood gamma-glutamyltranspeptidase level
3	Blood albumin level
3	Glucose level
3	AST to ALT ratio
3	Feathering
3	White striping
2	Proventriculus weight
2	Yolk color
2	Intramuscular fat percentage
2	Fowl typhoid susceptibility
2	Body weight gain
2	Deep pectoral myopathy
2	Liver fat percentage
2	Meat color L*
2	Meat color b*
2	Drumstick and thigh muscle percentage

# Reports	Goat Traits
3	Body weight
2	Teat number

# Reports	Horse Traits
12	Insect bite hypersensitivity
12	Recurrent exertional rhabdomyolysis
8	Tendon injury
7	Bone fracture
5	Strongyle fecal egg count
4	Suspensory ligament injury
4	Withers height
4	Osteoarthritis
3	Strongyle infection
3	twinning
3	Sperm progressive motility
2	Sperm count
2	Epistaxis
2	Skinfold thickness
2	Walk score
2	Hair shaft diameter
2	Hoof conformation
2	Semen volume
2	Sperm concentration
2	Body condition score
2	Croup height
2	Conformation score
2	chronic progressive lymphedema
2	Trot score
2	Equine sarcoids
2	Gestation length
2	Leg conformation
1	Leptin level
1	Plasma protein level
1	Hematocrit
1	Blood lactate level
1	Aspartate aminotransferase activity
1	Blood glucose level
1	Hemoglobin
1	neuroaxonal dystrophy
1	Blood creatinine level
1	ACTH level
1	Lymphocyte number
1	Red blood cell number
1	Creatine kinase level
1	Insulin level
1	White blood cell number
1	Triglyceride level
1	Blood adiponectin level
1	Neutrophil number
1	Chest circumference
1	Cannon bone circumference
1	Uric acid level
1	Number of progressively motile sperm
1	Blood non-esterified fatty acid level
1	hereditary equine regional dermal asthenia
1	Recurrent laryngeal neuropathy
1	Lactate dehydrogenase level

# Reports	Pig Traits
116	Total number born alive
70	Litter size
51	Number weaned
45	Average backfat thickness
39	Average daily gain
23	Litter weight, total
21	Number of stillborn
20	Sperm abnormality rate
18	Teat number
18	Sperm motility
17	Linoleic acid content
17	Palmitoleic acid content
17	Palmitic acid content
17	Stearic acid content
17	Oleic acid content
17	Feed conversion ratio
16	Myristic acid content
15	Polyunsaturated fatty acid content
15	Days to 100 kg
15	Saturated fatty acid content
15	Monounsaturated fatty acid content
14	Sperm concentration
14	Semen volume
14	Number of mummified pigs
12	Loin muscle area
12	Sperm per ejaculate
12	Body weight
12	Loin muscle depth
11	Residual feed intake
11	Linolenic acid content
11	Sperm progressive motility
10	Daily feed intake
10	Eicosadienoic acid content
10	Arachidonic acid content
10	Arachidic acid content
10	Lean meat percentage
9	Time in feeder per day
9	cis-11-Eicosenoic acid content
9	Number of visits to feeder per day
9	Carcass weight (hot)
8	Time in feeder per visit
8	Feed intake per feeding
8	Omega-6 fatty acid content
8	Omega-3 fatty acid content
8	Age at first farrowing
8	Intramuscular fat content
8	Omega-6 to omega-3 fatty acid ratio
8	Conformation score
8	Average feeding rate
8	Dihomo-gamma-linolenic acid content
7	Average chain length
7	Eicosadienoic acid to linoleic acid ratio
7	Oleic acid to stearic acid ratio
7	Cis-11-Eicosenoic acid to arachidic acid ratio
7	Days to 90 kg
7	Palmitoleic acid to palmitic acid ratio
7	Arachidonic acid to linoleic acid ratio

# Reports	Sheep Traits
28	Average daily gain
25	Body weight
18	Residual feed intake
17	Feed conversion ratio
12	Kleiber ratio
6	Mean fiber diameter
6	Somatic cell score
6	Greasy fleece weight
6	Staple length
5	Fecal egg count
5	Milk Yield
4	Teat size
4	udder attachment
4	udder depth
4	Teat placement
4	Longissimus muscle area
3	Backfat at 12th/13th ribs
3	Dressing percentage
3	Fiber diameter coefficient of variance
3	Longissimus muscle depth
3	Feed intake
3	Fleece yield
2	Hematocrit
2	Milk protein yield
2	Nematodirus FEC
2	Milk protein percentage
2	Milk fat yield
2	Hot carcass weight
2	Subcutaneous fat thickness
1	Number of visits to feeder per day
1	Milk protein content
1	Hind leg bone weight
1	Topside weight
1	Meat saturated fatty acid content
1	Meat linoleic acid content
1	Cooking loss
1	Wool crimp
1	Time in feeder per visit
1	Longissimus muscle width
1	Loin fat weight
1	Meat omega-3 fatty acid content
1	Tail length
1	Backfat at GR site
1	Feed intake per feeding
1	Meat linolenic acid content
1	Longissimus muscle weight
1	Horn circumference
1	Meat monounsaturated fatty acid content
1	Fiber diameter standard deviation
1	Age at first lambing
1	Meat omega-6 to omega-3 fatty acid ratio
1	Pleurisy
1	Round weight
1	Gastrointestinal tract weight
1	Shear force
1	Pneumonia susceptibility
1	Backfat at fifth rib

New Data: If you found correlation data that has not been included in the current release, please either (1) register for a curator account to directly input them (see "Database Curators / Editors" below), or (2) inform our Bioinformatics Team so that we can include your data for curation.

Database Curators / Editors: The CorrDB is open to the public for data entry and update. By having a curator account on the CorrDB, you will be granted privileges to input and edit the database entries.

Questions and Answers: Frequently asked questions and answers to address the questions raised with regard to the design, usage, application, utilities, new developments, and other related issues in the development of CorrDB.

Data downloads:

Release 17 data:
‣ tab delimited
‣ plain text
‣ gzip compressed

Correlation data: Cattle

Correlation data: Chicken

Correlation data: Goat

Correlation data: Horse

Correlation data: Pig

Correlation data: Sheep

Heritability data: Cattle

Heritability data: Chicken

Heritability data: Goat

Heritability data: Horse

Heritability data: Pig

Heritability data: Sheep

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2022). Bringing the Animal QTLdb and CorrDB into the future: meeting new challenges and providing updated services. Nucleic Acids Research, Volume 50, Issue D1, Pages D956–D961. DOI: 10.1093/nar/gkab1116

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2020). An Update on Database Growth and Improvements of Animal QTLdb and CorrDB. Plant & Animal Genomes XXVII Conference, January 11-15, 2020. Town & Country Convention Center, San Diego, CA.

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2019). Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB. Nucleic Acids Research, Volume 47, Issue D1, 8 January 2019, Pages D701–D710. DOI: 10.1093/nar/gky1084

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2018). Development of Animal QTLdb and CorrDB: Resynthesizing Big Data to Improve Meta-analysis of Genetic and Genomic Information. The 11th World Congress on Genetics Applied to Livestock Production (WCGALP). New Zealand, February 11-16, 2018.

Zhi-Liang Hu, Carissa A. Park, and James M. Reecy (2018). Animal QTLdb and CorrDB updates: integrative development of genetics/genomics databases and tools to meet new challenges. Plant & Animal Genomes XXVI Conference, January 13-17, 2018. Town & Country Convention Center, San Diego, CA.

Zhi-Liang Hu, Dinesh Kumar, and James Reecy. (2013). CorrDB: A livestock animal genetic/phenotypic trait correlation database. Plant & Animal Genomes XX Conference, January 11-16, 2013. Town & Country Convention Center, San Diego, CA.|/icons/links/Paglogo.gif|2

Related resources:

· VT | LPT | LBO | CMO ·

· MIQAS ·

· MIBBI ·

· MI ·

· Animal QTLdb ·

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